title: ATACseq_167dpi_Cl13_TexProg_Rep2

description: Library name: ATAC_167dpi_Cl13_TexProg_Rep2

data_processing:
ATAC-seq libraries were analyzed using `PEPATAC`. Reads were trimmed for quality and adapter sequences were removed. Reads were aligned to the mm10 reference genome using Bowtie2. Aligned reads were deduplicated using Picard. Peaks (500dp) were called using MACS2. Normalized bigwig files were created by normalizing the coverage track of the bedpe file by reads in peaks.
Assembly: Mouse mm10
Supplementary files format and content: .bw - bigwig

molecule: genomic DNA

source_name: spleen

growth_protocol: Mice were infected with LMCV-Arm or LCMV-Cl13 and sacraficed at different days post-infection from the spleen.

extract_protocol:
CD8s were stained with viability dye, GP33 tetramer, and surface antibodies. Live CD8+ Tetramer+ T cell subsets were sorted on a combination of surface antigens with a BD FACSAria RPMI + 10-50% RPMI. Nuclei were isolated by spinning at 4ºC 600rcf for 10 minutes in Lysis Buffer (10 mM Tris-HCl pH 7.4, 10 mM NaCL, 3 mM MgCl2, 0.1% Tween-20, 0.1% IGEPAL, 0.01% Digitonin, 1% BSA).
DNA was tagmented in transposition mix (Illumina 20034198) at 37ºC for 30 minutes with agitation at 400rpm. DNA was isolated (Qiagen 28004) amplified with Illumina adapters.

value: spleen


title: RNAseq_L2_rescue_WT_rep1

status: Public on Jan 27 2025

type: SRA

city: Beijing

first: Ming

last: Wang

state: Beijing

address: #15 Datun Road, Chaoyang, Beijing 100101, China

department: Key Laboratory of RNA Biology

country: China

institute: Institute of Biophysics, Chinese Academy of Sciences

library_source: transcriptomic

data_processing:
Paired-end reads were processed with cutadapt v4.11 to remove adapters and low quality bases. Furthermore, 9 bp from both ends of reads were further trimmed.
Trimmed reads were aligned to dm6 with hisat2 v2.2.1 with default parameters
Read counts were calculated using featureCounts
Assembly: dm6
Supplementary files format and content: tab-delimited text file contains raw read counts for each sample

molecule: total RNA

organism: Drosophila melanogaster

source_name: 2nd instar larva

growth_protocol: All fly strains were maintained at 25 °C and used for analysis at the age of 3–5 days.

extract_protocol:
Total RNA was isolated from dissected ovaries with TRIzol (Thermo Fisher Scientific, 15596018) and treated with the RQ1 RNase-Free DNase (Promega, #M6101).
RNA library was generated using an NSR method as described (Armour, C. D., 2009).

treatment_protocol: Short hairpin RNA (shRNA) lines targeting dPcf11 (THU0857) and Eggless (THU0892) were obtained from the Tsinghua Fly Center. Short hairpin RNA lines targeting white (BL2448), Nanos-GAL4 (BL25751), and dPcf11 deficiency strain (BL24933) were obtained from the Bloomington Stock Collection. A second shRNA line against the dPcf11 mRNA (GCAATACGAAGAAATCGAAGA) was cloned to the V22 vector integrated at the landing site attP2. The RNAi strains used in the screen were either purchased from Tsinghua Fly Center and Bloomington (shRNA), or VDRC (dsRNA); certain lines were made in-house and integrated at the landing site attP2, with details listed in table S1.

tag: tissue

value: 2nd instar larva

tag: time

tag: genotype

value: wildtype

tag: treatment

value: rescued by wildtype


title: shoot, wild type, Dex 7 days, replicate 2

city: Brno

first: Core Facility

last: Bioinformatics

address: Kamenice 5

country: Czech Republic

institute: CEITEC - Masaryk University

description:
Library name: S_WT_dex7d_rep2
S_WT_dex7d_rep2

data_processing:
Sequence reads were trimmed for low-quality sequence using Trimmomatic (parameter LEADING: 3 TRAILING: 3 SLIDINGWINDOW: 4:5)
Trimmed sequence reads were mapped to Arabidopsis thaliana genome (TAIR10) using STAR
Read count extraction and normalization were performed using CLC genomic benchwork
Assembly: TAIR10
Supplementary files format and content: TAB-delimited file with the read counts from featureCount.
Supplementary files format and content: TAB-delimited file with the read counts from RSEM.

organism: Arabidopsis thaliana

source_name: shoot

growth_protocol: Arabidopsis thaliana seedlings (ecotype Col-0) of wild-type (WT) and EXPA1 overexpressing line 8-4 (Samalova et al., 2024) were germinated and grown in growth chambers under long-day conditions 16 h light/8 h dark at 21°C/19°C for 7 days.

extract_protocol:
RNA was harvested using Rneasy plant mini kit (Qiagen). 10 ug of total RNA was used for the construction of sequencing libraries.
RNA libraries for RNA-seq were prepared using NextSeq2000 P3 50bp Directional RNA Library Prep Kit for Illumina and polyA selection. Sequencing was made at GeneCore (EMBL Heidelberg, Germany).

treatment_protocol: Seedlings were grown on MS media with or without dexamethasone (Dex) for 7 days or induced with Dex for 3 hours, with four biological replicas for each treatment.

value: shoot

tag: cell type

value: WT

value: Dex 7 days


title: shoot, wild type, Dex 3 hours, replicate 4

description:
Library name: S_WT_dex3h_rep4
S_WT_dex3h_rep4

value: Dex 3 hours


title: 36R

type: RNA

city: DURHAM

first: Irma

last: Husain

state: North Carolina

address: 2 Genome Ct, MSRBII, Rm 2019

department: Medicine (Nephrology)

country: USA

institute: Duke University Hospital

hyb_protocol: 100ng total RNA was hybridised to fluorescent barcode labelled probes from the nCounter Myeloid Innate Immunity v2 panel, as per manufacturer's instructions. The NS_Mm_Myeloid_V2.0.rlf is the Reporter Library File.  It is provided by NanoString and represents the panel.  It contains the information used during image processing to assign target identities to the barcodes.

scan_protocol: All samples were read on nCounter Analysis System (NanoString Technologies).

data_processing: Normalization was performed using the ROSALIND platform and calculated using criteria provided by Nanostring, following the nCounter Advanced Analysis protocol of dividing counts within a lane by the geometric mean of the normalizer probes from the same lane. Housekeeping probes to be used for normalization were selected based on the geNorm algorithm as implemented in the NormqPCR R library

label: biotin

organism: Mus

source_name: WT

label_protocol: Nanostring manufacturers protocol

extract_protocol: Immunomagnetic sorting using an Easy Sep column, Biotin based selection kit and biotin labelled F480 antibody. RNA was isolated using a Qiagen RNA kit.

treatment_protocol: Bilateral kidneys from Aif-1+/+ and -/- were harvested at day 4 post 30 min left unilateral ischemia. They were digested to a single cell suspension then immunomagentically labelled with a biotin conjugated F4/80 antibody. Then put through an immunomagentic biotin selection kit.

value: sorted kidney macrophage

tag: tag

value: No IRI


title: shoot, wild type, Dex 3 hours, replicate 2

description:
Library name: S_WT_dex3h_rep2
S_WT_dex3h_rep2


title: ATACseq_167dpi_Cl13_TexProg_Rep1

city: Stanford

first: Colin

middle: J

last: Raposo

state: CA

address: 240 Pasteur Drive, BMI 4600

department: Pathology

institute: Stanford University

description: Library name: ATAC_167dpi_Cl13_TexProg_Rep1

library_source: genomic

organism: Mus musculus


title: 36L

value: IRI


title: RNAseq_L2_rescue_FUS_rep2

value: rescued by pcf11E-FUS


title: 32R

source_name: KO

value: KO


title: ATACseq_167dpi_Cl13_TexProg_Rep3

description: Library name: ATAC_167dpi_Cl13_TexProg_Rep3


title: 26R


title: ATACseq_167dpi_Cl13_Tem2_Rep1

description: Library name: ATAC_167dpi_Cl13_Tem2_Rep1


title: 32L


title: ATACseq_167dpi_Cl13_Tem1_Rep3

description: Library name: ATAC_167dpi_Cl13_Tem1_Rep3


title: ATACseq_167dpi_Cl13_Tem2_Rep3

description: Library name: ATAC_167dpi_Cl13_Tem2_Rep3


title: scRNATCRseq_CD62LnegGP33_Lane1_RNA

description: Library name: CD62LnegGP33_Lane1_RNA

library_source: transcriptomic single cell

data_processing:
scRNA-seq data was processed using CellRanger Count (v3.1.0; 10X genomics) aligned to the mm10 genome.
scTCR-seq data was processed with CellRanger VDJ (v6.0.0; 10X genomics) and the `cellranger-vdj-GRCm38-alts-ensembl-3.1.0` reference.
LMO multiseq data were processed with `deMULTIplex2`
Assembly: Mouse mm10
Supplementary files format and content: scRNA: filtered_feature_bc_matrix.h5
Supplementary files format and content: scTCR: filtered_contig.annotations.csv and clonotypes.csv
Supplementary files format and content: LMO multiseq: BarcodeMatrix.csv and DemultiplexedIdentities.csv

source_name: Spleen

growth_protocol: Mice were infected with LMCV-Arm or LCMV-Cl13 and sacraficed at various dpi from the spleen.

extract_protocol:
CD8+ T cells were enriched using magnetic separation and stained with sample-specific LMO, viability dye, GP33 tetramer,and surface antibodies. Live CD8+ GP33+ T cells were sorted using a BD FACSAria into RPMI supplemented with 10–50% FBS. Sorted cells were pooled and loaded into the Chromium Controller (10x Genomics). Naïve T cells were also sorted as controls. In batch 2, samples were further divided based on CD62L expression,; batch 1, total GP33+ cells were sequenced. Each batch was processed independently, with separate library preparation and sequencing.
scRNA and TCR libraries were prepared according to manufacturer's instructions (10X Genomics 5’ v2). MULTI-seq library preparation workflow performed following cDNA amplification, as described previously (McGinnis, Patterson, et al., Nature Methods, 2019).

value: Spleen

tag: batch


title: RNAseq_L2_rescue_FUS_rep1


title: ATACseq_167dpi_Cl13_Tem2_Rep2

description: Library name: ATAC_167dpi_Cl13_Tem2_Rep2


title: shoot, wild type, Dex 7 days, replicate 1

description:
Library name: S_WT_dex7d_rep1
S_WT_dex7d_rep1


title: RNAseq_L2_rescue_FCA_rep2

value: rescued by pcf11E-FCA


title: shoot, wild type, Dex 3 hours, replicate 1

description:
Library name: S_WT_dex3h_rep1
S_WT_dex3h_rep1


title: RNAseq_L2_rescue_FCA_rep1


title: shoot, wild type, control, replicate 2

description:
Library name: S_WT_ctl_rep2
S_WT_ctl_rep2

value: control


title: 26L


title: RNAseq_L1_rescue_WT_rep1

source_name: 1st instar larva

value: 1st instar larva


title: shoot, wild type, control, replicate 4

description:
Library name: S_WT_ctl_rep4
S_WT_ctl_rep4


title: RNAseq_L1_rescue_WT_rep2


title: ATACseq_167dpi_Cl13_Tcm_Rep3

description: Library name: ATAC_167dpi_Cl13_Tcm_Rep3

value: spleen


title: shoot, wild type, control, replicate 3

description:
Library name: S_WT_ctl_rep3
S_WT_ctl_rep3


title: 17R


title: 17L


title: 23R


title: shoot, wild type, Dex 3 hours, replicate 3

description:
Library name: S_WT_dex3h_rep3
S_WT_dex3h_rep3


title: ATACseq_167dpi_Cl13_Tcm_Rep2

description: Library name: ATAC_167dpi_Cl13_Tcm_Rep2


title: RNAseq_L1_rescue_FUS_rep2


title: ATACseq_167dpi_Cl13_Tem1_Rep2

description: Library name: ATAC_167dpi_Cl13_Tem1_Rep2


title: Input  vrn2 R2

city: Birmingham

first: Rory

last: Osborne

address: Edgbaston

country: United Kingdom

institute: University of Birmingham

data_processing:
Reads trimmed and aligned to TAIR10 using bwa-mem. Peak calling performed by SICER12
Supplementary files format and content: Processed data files contain read counts (mRNA sequencing) and called peaks (ChIP)

source_name: Whole seedling

extract_protocol:
1% Chromatin isolated prior to immunoprecipitation
NEBNext® Ultra™II DNA Library Prep kit

value: Whole seedling


title: ATACseq_167dpi_Cl13_Tem1_Rep1

description: Library name: ATAC_167dpi_Cl13_Tem1_Rep1


title: 23L


title: ATACseq_167dpi_Cl13_Tcm_Rep1

description: Library name: ATAC_167dpi_Cl13_Tcm_Rep1


title: Input  vrn2 R3

data_processing:
Reads trimmed and aligned to TAIR10 using bwa-mem. Peak calling performed by SICER13
Supplementary files format and content: Processed data files contain read counts (mRNA sequencing) and called peaks (ChIP)


title: RNAseq_L1_rescue_FUS_rep1


title: Input vrn2 R1

data_processing:
Reads trimmed and aligned to TAIR10 using bwa-mem. Peak calling performed by SICER11
Supplementary files format and content: Processed data files contain read counts (mRNA sequencing) and called peaks (ChIP)


title: shoot, wild type, control, replicate 1

description:
Library name: S_WT_ctl_rep1
S_WT_ctl_rep1


title: RNAseq_L1_rescue_FCA_rep2


title: RNAseq_L1_del_helical_rep2

value: rescued by pcf11E-del-helical


title: Input Col0 R3

data_processing:
Reads trimmed and aligned to TAIR10 using bwa-mem. Peak calling performed by SICER10
Supplementary files format and content: Processed data files contain read counts (mRNA sequencing) and called peaks (ChIP)


title: WT input rep 2

city: Stony Brook

first: Ed

last: Luk

state: NY

address: 100 Nicolls Rd, Life Sciences Building

department: Biochemistry and Cell Biology

institute: Stony Brook University

description: Library name: LP161

data_processing:
Sequencing libraries were pooled and analyzed on a NextSeq 550 platform using paired-end mode with 32 cycles on both ends.
Sequencing data (FASTQ files) were mapped to the S. cerevisiae S288C genome version R64-1-1 using Bowtie2 with options --local --very-sensitive-local --no-unal --no-mixed --no-discordant --phred33 -I 120 and -X 170
Mapped reads were filtered using Samtools-view with options -q 30 -F 0x4.
Read coverage were calculated using bamCoverage in deepTools with options -binSize 1 -- extendReads --effectiveGenomeSize 11756462 --scaleFactor X (to Read Per Millions) -- blackListFileName Mask_v2.bed (which indicated repetitive sequences in the BED format)
Assembly: R64-1-1
Supplementary files format and content: bigwig format

organism: Saccharomyces cerevisiae

growth_protocol: Yeast cells were grown in 2 L yeast extract peptone dextrose (YPD) media to Log phase at 0.5 OD600 before harvested by centrifugation.

extract_protocol:
Cells were spheroplasted to 80% completion using glucanase and dounced homogenized. Crude chromatin was pelleted by centrifugation and Mnase digested. Solubilized nucleoproteins represent the input fraction of the IP reaction. The input was applied to anti-FLAG M2 affinity gel. The unbound materials were collected as the flow through fraction. The IP fraction represents the eluate after FLAG peptide incubation. Nucleosomal DNA was extracted and purified by the QIAquick spin column (Qiagen)
Sequencing libraries were prepared using the NEBNext Ultra II DNA library prep kit according to the manufacturer protocol (NEB).

treatment_protocol: Yeast cells were harvested by centrifugation, washed with water and PBS, aliquoted to 400-mL cell culture equivalent, and flash frozen

tag: cell line

value: MATa leu2d1 his3d200 ura3-52 trp1d63 lys2-128d (hht1-hhf1)d::LEU2 (hht2-hhf2)d::HIS3 Ty912d35-lacZ::his4 <CEN ARS HHT2-2xV5-HHF2 TRP>

value: MNase-seq


title: 12L

value: WT


title: RNAseq_L1_rescue_FCA_rep1


title: ATACseq_167dpi_Arm_Tem_Rep3

description: Library name: ATAC_167dpi_Arm_Tem_Rep3


title: Input Col0 R2

data_processing:
Reads trimmed and aligned to TAIR10 using bwa-mem. Peak calling performed by SICER9
Supplementary files format and content: Processed data files contain read counts (mRNA sequencing) and called peaks (ChIP)


title: htz1∆swr1∆ input rep 2

description: Library name: LP163

value: MATa leu2d1 his3d200 ura3-52 trp1d63 lys2-128d (hht1-hhf1)d::LEU2 (hht2-hhf2)d::HIS3 Ty912d35-lacZ::his4 htz1d::hphMX4 swr1d::p-kanMX-p <CEN ARS HHT2-2xV5-HHF2 TRP>


title: ATACseq_167dpi_Arm_Tem_Rep2

description: Library name: ATAC_167dpi_Arm_Tem_Rep2


title: Input Col0 R1

data_processing:
Reads trimmed and aligned to TAIR10 using bwa-mem. Peak calling performed by SICER8
Supplementary files format and content: Processed data files contain read counts (mRNA sequencing) and called peaks (ChIP)


title: ATACseq_167dpi_Arm_Tem_Rep1

description: Library name: ATAC_167dpi_Arm_Tem_Rep1


title: RNAseq_L1_del_helical_rep1


title: RNAseq_F1_rescue_WT_rep2

source_name: ovary

value: ovary

value: 3-5 days

value: wildtype

value: rescued by wildtype


title: swc2∆ HTZ1-2FLAG FT rep 2

description: Library name: LP011

value: MATa his3d200, trp1d63, lys2-128d, ura3-52, and leu2d1 (hta1-htb1)d::LEU2 (hta2-htb2)d::TRP1 htz1::HTZ1-2xFL swc2d::kanMX6 <CEN ARS 2xV5-HTA1-HTB1 HIS3>

value: MNase anti-FLAG ChIP-seq (input)

value: (Flow through)


title: htz1∆swr1∆ input rep 1

description: Library name: LP159


title: ATACseq_167dpi_Arm_Tcm_Rep3

description: Library name: ATAC_167dpi_Arm_Tcm_Rep3


title: H3K27me3, rep 3 vrn2

data_processing:
Reads trimmed and aligned to TAIR10 using bwa-mem. Peak calling performed by SICER7
Supplementary files format and content: Processed data files contain read counts (mRNA sequencing) and called peaks (ChIP)

extract_protocol:
Nuclear isolation from whole seedlings followed by overnight immunoprecipitation with AB290 antibody to isolate sheared chromatin bound to VRN2YFP
NEBNext® Ultra™II DNA Library Prep kit


title: RNAseq_F1_rescue_WT_rep1


title: ATACseq_167dpi_Arm_Tcm_Rep2

description: Library name: ATAC_167dpi_Arm_Tcm_Rep2


title: H3K27me3, rep 2 vrn2

data_processing:
Reads trimmed and aligned to TAIR10 using bwa-mem. Peak calling performed by SICER6
Supplementary files format and content: Processed data files contain read counts (mRNA sequencing) and called peaks (ChIP)


title: RNAseq_F1_rescue_FCA_rep1

value: rescued by pcf11E-FCA


title: 12R

value: sorted kidney macrophage

value: No IRI


title: H3K27me3, rep 1 vrn2

data_processing:
Reads trimmed and aligned to TAIR10 using bwa-mem. Peak calling performed by SICER5
Supplementary files format and content: Processed data files contain read counts (mRNA sequencing) and called peaks (ChIP)


title: ATACseq_028dpi_Cl13_TexTerm_Rep3

description: Library name: ATAC_028dpi_Cl13_TexTerm_Rep3

value: spleen


title: WT HTZ1-2FLAG FT rep 2

description: Library name: LP008

value: MATa his3d200, trp1d63, lys2-128d, ura3-52, and leu2d1 (hta1-htb1)d::LEU2 (hta2-htb2)d::TRP1 htz1::HTZ1-2xFL <CEN ARS 2xV5-HTA1-HTB1 HIS3>


title: RNAseq_F1_rescue_FCA_rep2


title: ATACseq_167dpi_Arm_Tcm_Rep1

description: Library name: ATAC_167dpi_Arm_Tcm_Rep1


title: SW480-U6-2

city: guangzhou

first: chengguo

last: yao

address: No. 74 zhongshan 2rd road

department: school of medicine

institute: sysu

description: lexogen 3’-seq kit (Cat. 016.24) was used to prepare the sequencing library.

data_processing:
data processing steps were carried out using our published pipeline QuantifyPoly(A) (https://pubmed.ncbi.nlm.nih.gov/34255024/)
Assembly: hg38
Supplementary files format and content: bw files

molecule: polyA RNA

organism: Homo sapiens

growth_protocol: HeLa and HEK293 cells were obtained from ATCC and cultured in Dulbecco's modified Eagle's medium supplemented with 10% fetal bovine serum (Thermo Scientific). SW480, NIH3T3, and Neuro-2a cells were obtained from iCell Bioscience Inc. (Shanghai, China) and cultured in commercially available medium (Cat. No. iCell-h204-001b; iCell-m041-001b; iCell-m040-001b).

extract_protocol:
Total RNAs were extracted with Trizol
3'-seq library was prepared using lexogen kit (Cat. 016.24)

treatment_protocol: AMO transfection was carried out by electroporation method. Electrophoration was performed using a Bio-Rad Gene pulser at 960 μF and 280 V. After electroporation, cells were cultured for 12 hours in 6 well plates.. The sequence of the 25-mer U6 AMO is 5’-TGCTAATCTTCTCTGTATCGTTCCA-3’. The sequence of the 25-mer U1 AMO is 5’-GGTATCTCCCCTGCCAGGTAAGTAT-3’. The sequence of control AMO is 5’-CCTCTTACCTCAGTTACAATTTATA-3’. AMOs were ordered from Gene Tools.

value: cancer cell line

value: U6 AMO treatment

value: AMO treatment


title: ATACseq_028dpi_Cl13_TexTerm_Rep2

description: Library name: ATAC_028dpi_Cl13_TexTerm_Rep2


title: WT input rep 1

description: Library name: LP157

value: MATa leu2d1 his3d200 ura3-52 trp1d63 lys2-128d (hht1-hhf1)d::LEU2 (hht2-hhf2)d::HIS3 Ty912d35-lacZ::his4 <CEN ARS HHT2-2xV5-HHF2 TRP>

value: MNase-seq


title: WT HTZ1-2FLAG input rep 2

description: Library name: LP007


title: H3K27me3, rep 2 Col0

data_processing:
Reads trimmed and aligned to TAIR10 using bwa-mem. Peak calling performed by SICER3
Supplementary files format and content: Processed data files contain read counts (mRNA sequencing) and called peaks (ChIP)

value: Whole seedling


title: SW480-U6-1


title: ATACseq_028dpi_Cl13_TexTerm_Rep1

description: Library name: ATAC_028dpi_Cl13_TexTerm_Rep1

data_processing:
ATAC-seq libraries were analyzed using `PEPATAC`. Reads were trimmed for quality and adapter sequences were removed. Reads were aligned to the mm10 reference genome using Bowtie2. Aligned reads were deduplicated using Picard. Peaks (500dp) were called using MACS2. Normalized bigwig files were created by normalizing the coverage track of the bedpe file by reads in peaks.
Assembly: Mouse mm10
Supplementary files format and content: .bw - bigwig


title: swc2∆ HTZ1-2FLAG FT rep 1

description: Library name: LP005


title: SW480-U1-2

value: U1 AMO treatment


title: H3K27me3, rep 1, Col0

data_processing:
Reads trimmed and aligned to TAIR10 using bwa-mem. Peak calling performed by SICER2
Supplementary files format and content: Processed data files contain read counts (mRNA sequencing) and called peaks (ChIP)


title: Input, R3

data_processing:
Reads trimmed and aligned to TAIR10 using bwa-mem. Peak calling performed by MACS10
Supplementary files format and content: Processed data files contain read counts (mRNA sequencing) and called peaks (ChIP)


title: WT HTZ1-2FLAG FT rep 1

description: Library name: LP002


title: ATACseq_028dpi_Cl13_TexProg62L_Rep2

description: Library name: ATAC_028dpi_Cl13_TexProg62L_Rep2


title: SW480-U1-1


title: SW480-ctr-2

value: NC AMO treatment


title: swc2∆ HTZ1-2FLAG input rep 2

description: Library name: LP010


title: Input, R2

data_processing:
Reads trimmed and aligned to TAIR10 using bwa-mem. Peak calling performed by MACS9
Supplementary files format and content: Processed data files contain read counts (mRNA sequencing) and called peaks (ChIP)


title: WT HTZ1-2FLAG input rep 1

description: Library name: LP001


title: H3K27me3, rep 3 Col0

data_processing:
Reads trimmed and aligned to TAIR10 using bwa-mem. Peak calling performed by SICER4
Supplementary files format and content: Processed data files contain read counts (mRNA sequencing) and called peaks (ChIP)


title: SW480-ctr-1


title: ATACseq_028dpi_Cl13_TexProg_Rep3

description: Library name: ATAC_028dpi_Cl13_TexProg_Rep3


title: Input, R1

data_processing:
Reads trimmed and aligned to TAIR10 using bwa-mem. Peak calling performed by MACS8
Supplementary files format and content: Processed data files contain read counts (mRNA sequencing) and called peaks (ChIP)


title: AB290 IP, R3

data_processing:
Reads trimmed and aligned to TAIR10 using bwa-mem. Peak calling performed by MACS4
Supplementary files format and content: Processed data files contain read counts (mRNA sequencing) and called peaks (ChIP)


title: ATACseq_028dpi_Cl13_TexProg62L_Rep1

description: Library name: ATAC_028dpi_Cl13_TexProg62L_Rep1


title: HEK293-U6-1


title: ATACseq_028dpi_Cl13_TexProg_Rep1

description: Library name: ATAC_028dpi_Cl13_TexProg_Rep1


title: NEURO2A-U1-2

value: murine neuroblastoma cell line


title: AB290 IP, R2

data_processing:
Reads trimmed and aligned to TAIR10 using bwa-mem. Peak calling performed by MACS3
Supplementary files format and content: Processed data files contain read counts (mRNA sequencing) and called peaks (ChIP)


title: HEK293-U1-2


title: AB290 IP, R1

data_processing:
Reads trimmed and aligned to TAIR10 using bwa-mem. Peak calling performed by MACS2
Supplementary files format and content: Processed data files contain read counts (mRNA sequencing) and called peaks (ChIP)


title: NEURO2A-U6-1


title: ATACseq_028dpi_Cl13_TexKLR_Rep3

description: Library name: ATAC_028dpi_Cl13_TexKLR_Rep3


title: NEURO2A-U1-1


title: swc2∆ HTZ1-2FLAG input rep 1

description: Library name: LP004

data_processing:
Sequencing libraries were pooled and analyzed on a NextSeq 550 platform using paired-end mode with 32 cycles on both ends.
Sequencing data (FASTQ files) were mapped to the S. cerevisiae S288C genome version R64-1-1 using Bowtie2 with options --local --very-sensitive-local --no-unal --no-mixed --no-discordant --phred33 -I 120 and -X 170
Mapped reads were filtered using Samtools-view with options -q 30 -F 0x4.
Read coverage were calculated using bamCoverage in deepTools with options -binSize 1 -- extendReads --effectiveGenomeSize 11756462 --scaleFactor X (to Read Per Millions) -- blackListFileName Mask_v2.bed (which indicated repetitive sequences in the BED format)
Assembly: R64-1-1
Supplementary files format and content: bigwig format

value: MATa his3d200, trp1d63, lys2-128d, ura3-52, and leu2d1 (hta1-htb1)d::LEU2 (hta2-htb2)d::TRP1 htz1::HTZ1-2xFL swc2d::kanMX6 <CEN ARS 2xV5-HTA1-HTB1 HIS3>


title: 4C_pCFTR_HepG2_rep3

city: BREST

first: Clara

last: Blotas

address: 22 rue Camille Desmoulins

country: France

institute: INSERM 1078

description: Library name: 4C, HepG2, replicate 3

data_processing:
4C-seq : base-calling, alignment, filtering, peak-calling, ouput files are generated with pipe4C pipeline v1.1.4 (deLaatLab)
Assembly: hg19
Supplementary files format and content: wig
Library strategy: 4C-Seq

source_name: Liver

growth_protocol: DMEM + 10% FBS

extract_protocol:
For 4C-seq, cells were fixed with formaldehyde for 10 minutes. After quenching and cell lysis, chromatin was digested with Csp6I, then with DpnII.
For 4C-seq, inverse PCRs are performed using the Expand™ Long Template PCR System (Roche) (as described in Krijger et al, 2020). Inverse PCR for each step were purified by using Nucleomag PCR beads, with a ratio 1. Sequencing were realized with Illumina, as single-end reads with 75-bp read length and generated FastQ files.

value: Liver


title: ATACseq_028dpi_Cl13_TexProg62L_Rep3

description: Library name: ATAC_028dpi_Cl13_TexProg62L_Rep3


title: HEK293-U1-1


title: ATACseq_028dpi_Cl13_TexKLR_Rep2

description: Library name: ATAC_028dpi_Cl13_TexKLR_Rep2


title: NEURO2A-ctr-2


title: HEK293-ctr-2


title: NEURO2A-ctr-1


title: HEK293-U6-2


title: NEURO2A-U6-2


title: HEK293-ctr-1


title: ATACseq_028dpi_Cl13_TexProg_Rep2

description: Library name: ATAC_028dpi_Cl13_TexProg_Rep2


title: NIH3T3-U6-2

value: mouse fibroblast cell line


title: ATACseq_028dpi_Cl13_TexKLR_Rep1

description: Library name: ATAC_028dpi_Cl13_TexKLR_Rep1


title: 4C_pCFTR_HepG2_rep1

description: Library name: 4C, HepG2, replicate 1


title: HeLa-U6-2

value: HeLa


title: 4C_pCFTR_Caco-2_rep3

description: Library name: 4C, Caco-2, replicate 3

source_name: Colon

value: Colon


title: ATACseq_028dpi_Cl13_TexInt_Rep3

description: Library name: ATAC_028dpi_Cl13_TexInt_Rep3


title: ATACseq_028dpi_Cl13_TexInt_Rep2

description: Library name: ATAC_028dpi_Cl13_TexInt_Rep2


title: HeLa-U6-1


title: NIH3T3-U6-1


title: 4C_pCFTR_Caco-2_rep2

description: Library name: 4C, Caco-2, replicate 2


title: NIH3T3-U1-2


title: HeLa-U1-2


title: 4C_pCFTR_Caco-2_rep1

description: Library name: 4C, Caco-2, replicate 1


title: ATACseq_028dpi_Cl13_TexInt_Rep1

description: Library name: ATAC_028dpi_Cl13_TexInt_Rep1


title: mEBD5_WT_rep3

city: San Francisco

first: Carolyn

last: Sangokoya

address: 35 Medical Center Way

institute: UCSF

description: FINAL.11.2023.mmu.rseq.heat3.AJM.genes.rsem.matrix.final.tsv

data_processing:
For RNA-seq data, raw fastq files were filtered and preprocessed by quality trimming using FASTX-Toolkit (v0.0.14). Adapters were removed, collapsed on unique molecular identifiers using FASTX (v0.0.14) and cutadapt (v1.18).
RNA-seq read mapping and alignment with alignment to mm10 reference genome assembly was performed using STAR (v2.7.10a). Read count tables of transcriptome mapped reads were generated using the RSEM program (v1.3.30).
Quantification of RSEM counts and differential gene expression were performed using R packages edgeR (v.3.40.2) and DESeq2 (v.1.38.3), using the generated count matrices as input for each comparison.
Assembly: mm10
Supplementary files format and content: tab-delimited text files includes transcripts per million (TPM) values for each sample

source_name: embryonic stem cells

extract_protocol:
Total RNA was extracted using Trizol. Poly-A RNA was captured usuing magnetic oligo-dT beads. RNA-seq libraries were prepared usinig 100ng poly-A enriched RNA
after poly-A purification, RNA libraries for RNA-seq were prepared using KAPA RNA Hyperprep Kit following manufacturer's protocols. Quality control on final libraries was assessed by TapeStation fragment analysis prior to pooling. Equimolar amounts of libraries were pooled and sequenced on Illumina HiSeq 4000 and NovaSeq X instruments using standard protocols.

value: embryonic stem cells

value: WT

value: EBD5 differentiation


title: NIH3T3-U1-1


title: mEBD5_WT_rep2


title: 4C_pCFTR_Capan-1_rep3

description: Library name: 4C, Capan-1, replicate 3

source_name: Pancreas

value: Pancreas


title: HeLa-U1-1

value: cancer cell line


title: NIH3T3-ctr-2

value: AMO treatment


title: HeLa-ctr-2


title: 4C_pCFTR_HepG2_rep2

description: Library name: 4C, HepG2, replicate 2


title: 4C_pCFTR_Capan-1_rep2

description: Library name: 4C, Capan-1, replicate 2


title: NIH3T3-ctr-1


title: mEBD5_WT_rep1


title: G14.5_islet_10x (ACSS2 dataset)

status: Public on Jan 26 2025

first: Cheng-ran

last: Xu

address: NO.5 YIHEYUAN ROAD HAIDIAN DISTRICT, BEIJING, P.R.CHINA

department: School of Basic Medical Sciences

institute: Peking University

description:
pancreatic islet, G14.5, scRNAseq
scRNA-seq
10x Genomics

data_processing:
For smart-seq3xpress scRNA-seq, the index, primer and adaptor sequences in the paired-end reads were trimmed with Trimmomatic (v0.39). The trimmed reads were aligned to the Mus musculus reference genome (GRCm38/mm10) using Hisat242 (V2.1.0) with the default parameters. The reads were assigned to genes using featureCounts (v2.0.1) with default parameters.
For 10x Genomics scRNA-seq, the demultiplexing, barcoded processing, gene counting and aggregation were made using the Cellranger toolkit (v3.1.0; https://support.10xgenomics.com/single-cell-gene-expression/software/pipelines/latest/what-is-cell-ranger) with default settings
Assembly: mm10
Supplementary files format and content: 10x Genomics output files: barcodes.tsv.gz, features.tsv.gz, matrix.mtx.gz
Supplementary files format and content: Smart-seq3xpress output files: Tab-separated rexpression values matrix files

source_name: pancreas

extract_protocol:
Pancreatic tissue was perfused with 0.5mg/mL collagenase P (Roche, 11213873001) dissolved in 1×HBSS buffer containing 10mM HEPES (pH 7.4), 1mM MgCl2 and 5mM glucose. Digestion was terminated by adding cold PBS. Islets were manually picked up and dissociated into single cell suspension with 0.25% trypsin (Thermo Fisher Scientific, 25200114) and incubated for 3-5min at 37℃. Fetal bovine serum (FBS) was used to terminate the digestion (40% vol/vol). After centrifugation at 1000rpm for 5min at 4℃, the supernatant was removed and the cell pellet was resuspended with HBSS buffer. Cells were directly sorted using a BD Aria SORP flow cytometer.
Smart-seq3xpress scRNA-seq was performed following a published procedure. Briefly, single cells were sorted into 384-well plates containing 0.3μL lysis. The mRNA was reverse transcribed into cDNA using 0.1μL dispensed RT mix. The libraries were constructed using TruePrep DNA Library Prep Kit (Vazyme, TD501).
10x Genomics scRNA-seq library was performed according to the manufacter’s instructions (single cell 3’ v3 protocol, 10x Genomics). Briefly, GCs were resuspended in the master mix and loaded together with partitioning oil and gel beads into the chip to generate the gel bead-in-emulsion (GEM). The poly-A RNA from the cell lysate contained in every single GEM was retrotranscripted to cDNA, which contains an Ilumina R1 primer sequence, Unique Molecular Identifier (UMI) and the 10x Barcode. The pooled barcoded cDNA was then cleaned up with Silane DynaBeads, amplified by PCR and the apropiated sized fragments were selected with SPRIselect reagent for subsequent library construction. During the library construction Ilumina R2 primer sequence, paired-end constructs with P5 and P7 sequences and a sample index were added.
smart-seq3xpress scRNA-seq,10x Genomics scRNA-seq

treatment_protocol: Mouse islets were manually harvested and cultured in RIPM1640 (Gibco, 21870076) medium supplemented with 20% human serum and 1% Penicillin/Streptomycin containing 5μM A485 (Selleck, S8740) or 20μM Nifuroxazide (Selleck, S4182) or vehicle DMSO, and incubated at 37℃ with 5% CO2 for 4 days. Approximately 40 mouse islets were seeded per well in low adhesion plates. The medium was changed every 2 days.

value: pancreas

value: islet cell

tag: strain

tag: Sex

value: female

tag: diet

value: standard diet


title: G0_islet_10x (ACSS2 dataset)

description:
pancreatic islet, G0, scRNAseq
scRNA-seq
10x Genomics


title: 4C_pCFTR_Capan-1_rep1

description: Library name: 4C, Capan-1, replicate 1


title: C10-IAA-r3

city: Suzhou

first: Peng

state: Jiangsu

address: Office3625 Building703, RENAI ROAD No.199, INDUSTRIAL PARK DISTRICT

department: Suzhou Medical College

institute: Soochow University

description:
Library name: sample 6
HEL_CTCFAID_IAA_24h_rep3

data_processing:
Raw sequence data were mapped and processed using Juicer v1.5 with default parameters.
The ATAC data was mapped to hg19.
Replicates data were first processed separately.
After confirmation of good reproducibility, we merged the replicates and re-processed as combined results.
Assembly: hg19
Supplementary files format and content: bigWig

source_name: HEL, Human erythroleukemia cell

growth_protocol: HEL cells were maintained in RPMI-1640 medium (Corning, 10-040-CV) supplemented with 10% fetal bovine serum (FBS) (HyClone).

extract_protocol:
0.5 million CTCF-AID knock-in HEL cells without or with IAA treatment for 24 hours were resuspended in cold lysis buffer supplemented with protease inhibitors (10 mM Tris with a pH 7.4, 10 mM NaCl, 3 mM MgCl2, and 0.1% IGEPAL), followed by centrifugation. The pellets were resuspended in 25 μL of tagment DNA buffer (Nextera, FC-121-1030) and used directly in the transposition reaction. Nextera Tn5 (Nextera, FC-121-1030) was added to the resuspended nuclei, and the transposition reaction mixture was incubated at 37 °C for 30 min. After transposition, the DNA was purified using a Qiagen MinElute PCR purification kit (Qiagen, 28004). Indexing PCR was conducted for 12 cycles using the NEBNext HiFi 2X PCR Master Mix (NEB, M0541S) and indexing primers. The PCR products were purified at a 1:3 ratio of Agencourt AMPure XP beads (Beckman Coulter, A63881). Libraries were paired-end 100-bp sequenced using an Illumina HiSeq 4000 system.
Each library underwent 75 cycles of paired-end sequencing on the Illumina HiSeq 4000 system. Each sample had three replicates, and we merged the replicates after confirming reproducibility. Each sample contained > 250 million paired-end fragments, > 60% ligation motif present, and > 200 million contacts.

value: HEL, Human erythroleukemia cell

value: 500uM IAA (indole-3-acetic acid)


title: HeLa-ctr-1

description: lexogen 3’-seq kit (Cat. 016.24) was used to prepare the sequencing library.

value: NC AMO treatment


title: C10-IAA-r1

description:
Library name: sample 4
HEL_CTCFAID_IAA_24h_rep1


title: C10-DMSO-r2

description:
Library name: sample 2
HEL_CTCFAID_DMSO_rep2

value: DMSO


title: Arabidopsis root cells - sc_235

city: Los Angeles

first: Rachel

last: Shahan

state: California

address: 610 Charles E. Young Dr. S

institute: University of California, Los Angeles

description: Chromium Next GEM 3.1 High Throughput

data_processing:
Processed by COPILOT (https://github.com/ohlerlab/COPILOT)
Assembly: TAIR10
Supplementary files format and content: Seurat object

source_name: Root tip

growth_protocol: Arabidopsis accession Columbia-0 (Col-0) was used as wild type.  Seeds were sterilized using 50% (v/v) bleach with 0.05% Tween-20 for 10-15 minutes, plated on 1/2 Linsmaier and Skoog (LSP03-1LT, Caisson Labs; pH 5.7), 1% sucrose media, and stratified 2-4 days at 4°C in the dark. Plates were kept vertically in a Percival growth chamber set to 22°C, 16 hours light/8 hours dark, and grown for 5-7 days.

extract_protocol:
For each sample, 0.2-0.5cm root tips were harvested from 1000-3000 roots and placed into a 35mm petri dish containing a 70 μm cell strainer and 4.5mL enzyme solution (1.5% [w/v] cellulase [ONOZUKA R-10, GoldBio], 0.1% Pectolyase [Sigma P3026], 0.4 M mannitol, 20 mM MES (pH 5.7), 20 mM KCl, 10 mM CaCl2, 0.1% bovine serum albumin, and 0.000194% (v/v) beta-mercaptoethanol). The digestion was incubated on an 85 rpm shaker at 25°C for one hour with additional stirring every 15-20 minutes. The resulting cell solution was filtered twice through 40 μm cell strainers and centrifuged for 5 minutes at 500g in a swinging bucket rotor. The pellet was washed with 2mL washing solution (0.4 M mannitol, 20 mM MES (pH 5.7), 20 mM KCl, 10 mM CaCl2, 0.1% bovine serum albumin, and 0.000194% (v/v) beta-mercaptoethanol), centrifuged again at 500g for 3 minutes, and the pellet resuspended in washing solution at a concentration of 1000-2000 cells/uL. We loaded 16,000 cells, with the aim to capture 10,000 cells per sample with the 10X Genomics Chromium 3` Gene expression v3 or v3.1 kits. 32,000 cells were loaded with the aim of capturing 20,000 cells for 10X Genomics v3.1 HT kits. Cell barcoding and library construction were performed following the manufacturer’s instructions. cDNA and final library quality were verified using a Bioanalyzer High Sensitivity DNA Chip (Agilent) and sequenced on an Illumina NextSeq 500 or NovaSeq 6000 instrument to produce 100bp paired-end reads.
Chromium Single Cell 3ʹ GEM Kit v3 and v3.1

treatment_protocol: Plants were grown on 100 μm nylon mesh (Nitex 03-100/44) on the plates to facilitate root collection

value: Root tip

value: All cell types of root


title: Arabidopsis root cells - sc_229

description: Chromium Next GEM 3.1 High Throughput


title: Arabidopsis root cells - sc_221

description: Chromium Next GEM 3.1 High Throughput


title: C10-DMSO-r3

description:
Library name: sample 3
HEL_CTCFAID_DMSO_rep3


title: C10-DMSO-r1

description:
Library name: sample 1
HEL_CTCFAID_DMSO_rep1


title: Arabidopsis root cells - sc_223

description: Chromium Next GEM 3.1 High Throughput

value: ops/opl2 mutant


title: Arabidopsis root cells - sc_170

description: Chromium Next GEM 3.1 High Throughput


title: Arabidopsis root cells - sc_169

description: Chromium Next GEM 3.1 High Throughput


title: Arabidopsis root cells - sc_217

description: Chromium Next GEM 3.1 High Throughput


title: Arabidopsis root cells - sc_158

description: Chromium Next GEM 3.1 High Throughput


title: Arabidopsis root cells - sc_159

description: Chromium Next GEM 3.1 High Throughput


title: Arabidopsis root cells - sc_157

description: Chromium Next GEM 3.1 High Throughput


title: Control6_Boston

city: Saint Paul

first: Susan

middle: A

last: Arnold

state: MN

address: 1352 Boyd Avenue

department: Veterinary Clinical Sciences

institute: University of Minnesota

description: Library name: 16-100_S2

data_processing:
The  University of Minnesota Research Informatics at MSI  analyzed the RNA Seq output. 2 x 50bp FastQ paired-end reads for 18 samples were trimmed using Trimmomatic (v 0.33) enabled with the optional “-q” option; 3bp sliding-window trimming from 3’ end requiring minimum Q30.
Quality control on raw sequence data for each sample was performed with FastQC
Sequencing reads were mapped to the dog reference genome (CanFam6) using Hisat2.
RNASeq data were processed by the Minnesota Supercomputing Institute using PURR, a pipeline housed with the Collection of Hierarchical UMII/RIS Pipelines (CHURP). CHURP was developed by a group at the Minnesota Supercomputing Institute, and the analysis is provided as part of the RNASeq package run through the UMGC. Two x 50bp FastQ paired end reads for 29 samples (n=61.2 Million average reads per sample) were trimmed using Trimmomatic (v 0.33) enabled with the optional , “headcrop -3” option, “-q” option; 3bp sliding-window trimming from 3’ end requiring minimum Q30. Quality control on raw sequence data for each sample were performed with FastQC. Read mapping was performed via Hisat2 (v2.1.0) using the dog genome (Dog10K_Boxer_Tasha/canFam6 NCBI RefSeq assembly GCF_000002285.5) as reference. Gene quantification was done via Feature Counts for raw read counts. Genes differentially expressed  were calculated using DESEQ2 Bioconductor package in R with an absolute fold-change cutoff set at >2 and FDR < 0.05
Assembly: CanFam 6.0
Supplementary files format and content: RawCountsArnold.txt (file containing raw read counts)

organism: Canis lupus familiaris

source_name: Prosencephalic high grade oligodendroglioma

extract_protocol:
RNA extraction and RNA sequencing (RNASeq) were performed at the University of Minnesota Genomics Center (UMGC). RNA was extracted and purified from scrolls using the PureLinkTM FFPE Total RNA Isolation Kit (Invitrogen, Carlsbad, CA). After elution of RNA, DNAse I digestion was performed to yield DNA-free total RNA. Total eukaryotic RNA isolates were quantified using a fluorimetric RiboGreen assay (Life Technologies, Carlsbad, CA). Total RNA integrity was assessed using capillary electrophoresis on the Agilent BioAnalyzer 2100 (Agilent, Santa Clara, CA), generating an RNA Integrity Number (RIN). A RIN cutoff of 2 was used for samples to be acceptable.
Samples that passed quality control underwent library preparation using the SMARTer Stranded Total RNA-Seq Kit v2, Pico Input Mammalian (Takara Bio, Mountain View, CA); this kit removes ribosomal RNA. RNA sequencing was performed on the NextSeq 2K, which produces 2 x 50 bp paired end reads (Illumina, San Diego, CA) at a targeted depth of ≥40 million reads per sample.

tag: breed

value: Boston terrier


title: Control3_boxer

description: Library name: 15-348_S20

value: Prosencephalic high grade oligodendroglioma

value: boxer


title: Control7_Boston

description: Library name: 17-111_S3


title: Control4_boxer

description: Library name: 15-351_S21


title: Control2_Boston

description: Library name: 15-289_S19


title: Control5_boxer

description: Library name: 16-012_S1


title: C10-IAA-r2

description:
Library name: sample 5
HEL_CTCFAID_IAA_24h_rep2


title: FBD11

description: Library name: 16-368-1_S12

value: French bulldog


title: FBD9

description: Library name: 13-304-1B_S10


title: FBD7

description: Library name: 10-220-B_S7


title: FBD10

description: Library name: 16-440-1_S11


title: FBD6

description: Library name: 15-021-1B_S6


title: FBD5

description: Library name: 15-052-1_S5


title: FBD8

description: Library name: 13-062-1A_S8


title: Arabidopsis root cells - sc_215

description: Chromium Next GEM 3.1 High Throughput

value: WT


title: FBD4

description: Library name: 15-055-1_S4


title: FBD2

description: Library name: 13-062-1B_S2


title: HFD_P7NL_rep2_92 (ACSS2 dataset)

description:
pancreatic Beta cell, HFDP7NL, biol rep2, scRNAseq
scRNA-seq
Smart-seq3xpress

value: Beta cell

value: high-fat diet


title: HFD_P7NL_rep2_91 (ACSS2 dataset)

value: pancreas


title: Arabidopsis root cells - sc_171

description: Chromium Next GEM 3.1 High Throughput


title: FBD3

description: Library name: 15-220-1A_S3


title: HFD_P7NL_rep2_90 (ACSS2 dataset)

value: female


title: HFD_P7NL_rep2_89 (ACSS2 dataset)


title: HFD_P7NL_rep2_86 (ACSS2 dataset)


title: HFD_P7NL_rep2_87 (ACSS2 dataset)


title: Control1_boxer

description: Library name: 15-091_S18


title: FBD1

description: Library name: 16-155-1_S1


title: HFD_P7NL_rep2_83 (ACSS2 dataset)


title: HFD_P7NL_rep2_84 (ACSS2 dataset)


title: HFD_P7NL_rep2_81 (ACSS2 dataset)


title: HFD_P7NL_rep2_88 (ACSS2 dataset)


title: HFD_P7NL_rep2_82 (ACSS2 dataset)


title: HFD_P7NL_rep2_79 (ACSS2 dataset)


title: HFD_P7NL_rep2_80 (ACSS2 dataset)


title: HFD_P7NL_rep2_78 (ACSS2 dataset)


title: HFD_P7NL_rep2_77 (ACSS2 dataset)


title: HFD_P7NL_rep2_76 (ACSS2 dataset)


title: HFD_P7NL_rep2_75 (ACSS2 dataset)


title: HFD_P7NL_rep2_72 (ACSS2 dataset)


title: HFD_P7NL_rep2_73 (ACSS2 dataset)


title: HFD_P7NL_rep2_71 (ACSS2 dataset)


title: HFD_P7NL_rep2_74 (ACSS2 dataset)


title: HFD_P7NL_rep2_70 (ACSS2 dataset)


title: HFD_P7NL_rep2_68 (ACSS2 dataset)


title: HFD_P7NL_rep2_69 (ACSS2 dataset)


title: HFD_P7NL_rep2_66 (ACSS2 dataset)


title: HFD_P7NL_rep2_65 (ACSS2 dataset)


title: HFD_P7NL_rep2_63 (ACSS2 dataset)


title: HFD_P7NL_rep2_64 (ACSS2 dataset)


title: HFD_P7NL_rep2_85 (ACSS2 dataset)


title: HFD_P7NL_rep2_61 (ACSS2 dataset)


title: HFD_P7NL_rep2_60 (ACSS2 dataset)


title: HFD_P7NL_rep2_57 (ACSS2 dataset)


title: HFD_P7NL_rep2_55 (ACSS2 dataset)


title: HFD_P7NL_rep2_58 (ACSS2 dataset)


title: HFD_P7NL_rep2_54 (ACSS2 dataset)


title: HFD_P7NL_rep2_52 (ACSS2 dataset)


title: HFD_P7NL_rep2_53 (ACSS2 dataset)


title: HFD_P7NL_rep2_50 (ACSS2 dataset)


title: HFD_P7NL_rep2_51 (ACSS2 dataset)


title: HFD_P7NL_rep2_49 (ACSS2 dataset)


title: HFD_P7NL_rep2_47 (ACSS2 dataset)


title: HFD_P7NL_rep2_48 (ACSS2 dataset)


title: HFD_P7NL_rep2_44 (ACSS2 dataset)


title: HFD_P7NL_rep2_45 (ACSS2 dataset)


title: HFD_P7NL_rep2_67 (ACSS2 dataset)


title: HFD_P7NL_rep2_43 (ACSS2 dataset)


title: HFD_P7NL_rep2_41 (ACSS2 dataset)


title: HFD_P7NL_rep2_42 (ACSS2 dataset)


title: HFD_P7NL_rep2_39 (ACSS2 dataset)


title: HFD_P7NL_rep2_38 (ACSS2 dataset)


title: HFD_P7NL_rep2_40 (ACSS2 dataset)


title: HFD_P7NL_rep2_37 (ACSS2 dataset)


title: HFD_P7NL_rep2_62 (ACSS2 dataset)


title: HFD_P7NL_rep2_34 (ACSS2 dataset)


title: HFD_P7NL_rep2_33 (ACSS2 dataset)


title: HFD_P7NL_rep2_56 (ACSS2 dataset)


title: HFD_P7NL_rep2_36 (ACSS2 dataset)


title: HFD_P7NL_rep2_35 (ACSS2 dataset)


title: HFD_P7NL_rep2_59 (ACSS2 dataset)


title: HFD_P7NL_rep2_32 (ACSS2 dataset)


title: HFD_P7NL_rep2_27 (ACSS2 dataset)


title: HFD_P7NL_rep2_26 (ACSS2 dataset)


title: HFD_P7NL_rep2_28 (ACSS2 dataset)


title: HFD_P7NL_rep2_46 (ACSS2 dataset)


title: HFD_P7NL_rep2_29 (ACSS2 dataset)


title: HFD_P7NL_rep2_24 (ACSS2 dataset)


title: HFD_P7NL_rep2_22 (ACSS2 dataset)


title: HFD_P7NL_rep2_23 (ACSS2 dataset)


title: HFD_P7NL_rep2_21 (ACSS2 dataset)


title: HFD_P7NL_rep2_20 (ACSS2 dataset)


title: HFD_P7NL_rep2_19 (ACSS2 dataset)


title: HFD_P7NL_rep2_18 (ACSS2 dataset)


title: HFD_P7NL_rep2_16 (ACSS2 dataset)


title: HFD_P7NL_rep2_15 (ACSS2 dataset)


title: HFD_P7NL_rep2_17 (ACSS2 dataset)


title: HFD_P7NL_rep2_12 (ACSS2 dataset)


title: HFD_P7NL_rep2_14 (ACSS2 dataset)


title: HFD_P7NL_rep2_11 (ACSS2 dataset)


title: HFD_P7NL_rep2_31 (ACSS2 dataset)


title: HFD_P7NL_rep2_7 (ACSS2 dataset)


title: HFD_P7NL_rep2_10 (ACSS2 dataset)


title: HFD_P7NL_rep2_4 (ACSS2 dataset)


title: HFD_P7NL_rep2_25 (ACSS2 dataset)


title: HFD_P7NL_rep2_6 (ACSS2 dataset)


title: HFD_P7NL_rep2_8 (ACSS2 dataset)


title: HFD_P7NL_rep2_2 (ACSS2 dataset)


title: HFD_P7NL_rep2_30 (ACSS2 dataset)


title: HFD_P7NL_rep1_114 (ACSS2 dataset)

description:
pancreatic Beta cell, HFDP7NL, biol rep1, scRNAseq
scRNA-seq
Smart-seq3xpress


title: HFD_P7NL_rep2_3 (ACSS2 dataset)


title: HFD_P7NL_rep2_9 (ACSS2 dataset)


title: HFD_P7NL_rep2_5 (ACSS2 dataset)


title: HFD_P7NL_rep2_1 (ACSS2 dataset)


title: HFD_P7NL_rep1_115 (ACSS2 dataset)


title: HFD_P7NL_rep1_110 (ACSS2 dataset)


title: HFD_P7NL_rep1_113 (ACSS2 dataset)


title: HFD_P7NL_rep1_109 (ACSS2 dataset)


title: HFD_P7NL_rep1_108 (ACSS2 dataset)


title: HFD_P7NL_rep2_13 (ACSS2 dataset)


title: HFD_P7NL_rep1_105 (ACSS2 dataset)


title: HFD_P7NL_rep1_107 (ACSS2 dataset)


title: HFD_P7NL_rep1_106 (ACSS2 dataset)


title: HFD_P7NL_rep1_104 (ACSS2 dataset)


title: HFD_P7NL_rep1_101 (ACSS2 dataset)


title: HFD_P7NL_rep1_102 (ACSS2 dataset)


title: HFD_P7NL_rep1_99 (ACSS2 dataset)


title: HFD_P7NL_rep1_100 (ACSS2 dataset)


title: HFD_P7NL_rep1_98 (ACSS2 dataset)


title: HFD_P7NL_rep1_97 (ACSS2 dataset)


title: HFD_P7NL_rep1_95 (ACSS2 dataset)


title: HFD_P7NL_rep1_111 (ACSS2 dataset)


title: HFD_P7NL_rep1_94 (ACSS2 dataset)


title: HFD_P7NL_rep1_92 (ACSS2 dataset)


title: HFD_P7NL_rep1_91 (ACSS2 dataset)


title: HFD_P7NL_rep1_112 (ACSS2 dataset)


title: HFD_P7NL_rep1_93 (ACSS2 dataset)


title: HFD_P7NL_rep1_89 (ACSS2 dataset)


title: HFD_P7NL_rep1_96 (ACSS2 dataset)


title: HFD_P7NL_rep1_88 (ACSS2 dataset)


title: HFD_P7NL_rep1_90 (ACSS2 dataset)


title: HFD_P7NL_rep1_85 (ACSS2 dataset)


title: HFD_P7NL_rep1_87 (ACSS2 dataset)


title: HFD_P7NL_rep1_83 (ACSS2 dataset)


title: HFD_P7NL_rep1_82 (ACSS2 dataset)


title: HFD_P7NL_rep1_81 (ACSS2 dataset)


title: HFD_P7NL_rep1_84 (ACSS2 dataset)


title: HFD_P7NL_rep1_80 (ACSS2 dataset)


title: HFD_P7NL_rep1_78 (ACSS2 dataset)


title: HFD_P7NL_rep1_103 (ACSS2 dataset)


title: HFD_P7NL_rep1_79 (ACSS2 dataset)


title: HFD_P7NL_rep1_76 (ACSS2 dataset)


title: HFD_P7NL_rep1_77 (ACSS2 dataset)


title: HFD_P7NL_rep1_75 (ACSS2 dataset)


title: HFD_P7NL_rep1_74 (ACSS2 dataset)


title: HFD_P7NL_rep1_71 (ACSS2 dataset)


title: HFD_P7NL_rep1_73 (ACSS2 dataset)


title: HFD_P7NL_rep1_70 (ACSS2 dataset)


title: HFD_P7NL_rep1_69 (ACSS2 dataset)


title: HFD_P7NL_rep1_86 (ACSS2 dataset)


title: HFD_P7NL_rep1_67 (ACSS2 dataset)


title: HFD_P7NL_rep1_68 (ACSS2 dataset)


title: HFD_P7NL_rep1_65 (ACSS2 dataset)


title: HFD_P7NL_rep1_66 (ACSS2 dataset)


title: HFD_P7NL_rep1_61 (ACSS2 dataset)


title: HFD_P7NL_rep1_60 (ACSS2 dataset)


title: HFD_P7NL_rep1_64 (ACSS2 dataset)


title: HFD_P7NL_rep1_59 (ACSS2 dataset)


title: HFD_P7NL_rep1_57 (ACSS2 dataset)


title: HFD_P7NL_rep1_55 (ACSS2 dataset)


title: HFD_P7NL_rep1_56 (ACSS2 dataset)


title: HFD_P7NL_rep1_58 (ACSS2 dataset)


title: HFD_P7NL_rep1_53 (ACSS2 dataset)


title: HFD_P7NL_rep1_51 (ACSS2 dataset)


title: HFD_P7NL_rep1_50 (ACSS2 dataset)


title: HFD_P7NL_rep1_54 (ACSS2 dataset)


title: HFD_P7NL_rep1_52 (ACSS2 dataset)


title: HFD_P7NL_rep1_72 (ACSS2 dataset)


title: HFD_P7NL_rep1_47 (ACSS2 dataset)


title: HFD_P7NL_rep1_49 (ACSS2 dataset)


title: HFD_P7NL_rep1_46 (ACSS2 dataset)


title: HFD_P7NL_rep1_44 (ACSS2 dataset)


title: HFD_P7NL_rep1_62 (ACSS2 dataset)


title: HFD_P7NL_rep1_63 (ACSS2 dataset)


title: HFD_P7NL_rep1_45 (ACSS2 dataset)


title: HFD_P7NL_rep1_48 (ACSS2 dataset)


title: HFD_P7NL_rep1_40 (ACSS2 dataset)


title: HFD_P7NL_rep1_41 (ACSS2 dataset)


title: HFD_P7NL_rep1_39 (ACSS2 dataset)


title: HFD_P7NL_rep1_38 (ACSS2 dataset)


title: HFD_P7NL_rep1_36 (ACSS2 dataset)


title: HFD_P7NL_rep1_43 (ACSS2 dataset)


title: HFD_P7NL_rep1_34 (ACSS2 dataset)


title: HFD_P7NL_rep1_35 (ACSS2 dataset)


title: HFD_P7NL_rep1_42 (ACSS2 dataset)


title: HFD_P7NL_rep1_32 (ACSS2 dataset)


title: HFD_P7NL_rep1_31 (ACSS2 dataset)


title: HFD_P7NL_rep1_33 (ACSS2 dataset)


title: HFD_P7NL_rep1_30 (ACSS2 dataset)


title: HFD_P7NL_rep1_37 (ACSS2 dataset)


title: HFD_P7NL_rep1_28 (ACSS2 dataset)


title: HFD_P7NL_rep1_29 (ACSS2 dataset)


title: HFD_P7NL_rep1_26 (ACSS2 dataset)


title: HFD_P7NL_rep1_24 (ACSS2 dataset)


title: HFD_P7NL_rep1_27 (ACSS2 dataset)


title: HFD_P7NL_rep1_23 (ACSS2 dataset)


title: HFD_P7NL_rep1_25 (ACSS2 dataset)


title: HFD_P7NL_rep1_21 (ACSS2 dataset)


title: HFD_P7NL_rep1_22 (ACSS2 dataset)


title: HFD_P7NL_rep1_20 (ACSS2 dataset)


title: HFD_P7NL_rep1_19 (ACSS2 dataset)


title: HFD_P7NL_rep1_17 (ACSS2 dataset)


title: HFD_P7NL_rep1_16 (ACSS2 dataset)


title: HFD_P7NL_rep1_18 (ACSS2 dataset)


title: HFD_P7NL_rep1_14 (ACSS2 dataset)


title: HFD_P7NL_rep1_13 (ACSS2 dataset)


title: HFD_P7NL_rep1_9 (ACSS2 dataset)


title: HFD_P7NL_rep1_8 (ACSS2 dataset)


title: HFD_P7NL_rep1_11 (ACSS2 dataset)


title: HFD_P7NL_rep1_10 (ACSS2 dataset)


title: HFD_P7NL_rep1_6 (ACSS2 dataset)


title: HFD_P7NL_rep1_12 (ACSS2 dataset)


title: HFD_P7NL_rep1_5 (ACSS2 dataset)


title: HFD_P7NL_rep1_7 (ACSS2 dataset)


title: HFD_P7NL_rep1_2 (ACSS2 dataset)


title: HFD_P7NL_rep1_4 (ACSS2 dataset)


title: HFD_P7NL_rep1_1 (ACSS2 dataset)


title: G14.5_Stat3WT_rep2_53 (ACSS2 dataset)

description:
pancreatic Beta cell, G14.5Stat3WT, biol rep2, scRNAseq
scRNA-seq
Smart-seq3xpress

value: standard diet

value: Stat3 WT


title: G14.5_Stat3WT_rep2_51 (ACSS2 dataset)


title: G14.5_Stat3WT_rep2_48 (ACSS2 dataset)


title: G14.5_Stat3WT_rep2_47 (ACSS2 dataset)


title: G14.5_Stat3WT_rep2_49 (ACSS2 dataset)


title: G14.5_Stat3WT_rep2_45 (ACSS2 dataset)


title: G14.5_Stat3WT_rep2_46 (ACSS2 dataset)


title: HFD_P7NL_rep1_3 (ACSS2 dataset)


title: G14.5_Stat3WT_rep2_43 (ACSS2 dataset)


title: G14.5_Stat3WT_rep2_52 (ACSS2 dataset)


title: HFD_P7NL_rep1_15 (ACSS2 dataset)


title: G14.5_Stat3WT_rep2_44 (ACSS2 dataset)


title: G14.5_Stat3WT_rep2_42 (ACSS2 dataset)


title: G14.5_Stat3WT_rep2_41 (ACSS2 dataset)


title: G14.5_Stat3WT_rep2_40 (ACSS2 dataset)


title: G14.5_Stat3WT_rep2_39 (ACSS2 dataset)


title: G14.5_Stat3WT_rep2_38 (ACSS2 dataset)


title: G14.5_Stat3WT_rep2_37 (ACSS2 dataset)


title: G14.5_Stat3WT_rep2_36 (ACSS2 dataset)


title: G14.5_Stat3WT_rep2_35 (ACSS2 dataset)


title: G14.5_Stat3WT_rep2_32 (ACSS2 dataset)


title: G14.5_Stat3WT_rep2_31 (ACSS2 dataset)


title: G14.5_Stat3WT_rep2_30 (ACSS2 dataset)


title: G14.5_Stat3WT_rep2_33 (ACSS2 dataset)


title: G14.5_Stat3WT_rep2_29 (ACSS2 dataset)


title: G14.5_Stat3WT_rep2_50 (ACSS2 dataset)


title: G14.5_Stat3WT_rep2_24 (ACSS2 dataset)


title: G14.5_Stat3WT_rep2_28 (ACSS2 dataset)


title: G14.5_Stat3WT_rep2_26 (ACSS2 dataset)


title: G14.5_Stat3WT_rep2_25 (ACSS2 dataset)


title: G14.5_Stat3WT_rep2_27 (ACSS2 dataset)


title: G14.5_Stat3WT_rep2_22 (ACSS2 dataset)


title: G14.5_Stat3WT_rep2_20 (ACSS2 dataset)


title: G14.5_Stat3WT_rep2_19 (ACSS2 dataset)


title: G14.5_Stat3WT_rep2_18 (ACSS2 dataset)


title: G14.5_Stat3WT_rep2_15 (ACSS2 dataset)


title: G14.5_Stat3WT_rep2_14 (ACSS2 dataset)


title: G14.5_Stat3WT_rep2_13 (ACSS2 dataset)


title: G14.5_Stat3WT_rep2_12 (ACSS2 dataset)


title: G14.5_Stat3WT_rep2_11 (ACSS2 dataset)


title: G14.5_Stat3WT_rep2_34 (ACSS2 dataset)


title: G14.5_Stat3WT_rep2_8 (ACSS2 dataset)


title: G14.5_Stat3WT_rep2_10 (ACSS2 dataset)


title: G14.5_Stat3WT_rep2_6 (ACSS2 dataset)


title: G14.5_Stat3WT_rep2_4 (ACSS2 dataset)


title: G14.5_Stat3WT_rep2_23 (ACSS2 dataset)


title: G14.5_Stat3WT_rep2_5 (ACSS2 dataset)


title: G14.5_Stat3WT_rep1_66 (ACSS2 dataset)

description:
pancreatic Beta cell, G14.5Stat3WT, biol rep1, scRNAseq
scRNA-seq
Smart-seq3xpress


title: G14.5_Stat3WT_rep2_2 (ACSS2 dataset)


title: G14.5_Stat3WT_rep2_3 (ACSS2 dataset)


title: G14.5_Stat3WT_rep2_1 (ACSS2 dataset)


title: G14.5_Stat3WT_rep2_21 (ACSS2 dataset)


title: G14.5_Stat3WT_rep1_65 (ACSS2 dataset)


title: G14.5_Stat3WT_rep1_61 (ACSS2 dataset)


title: G14.5_Stat3WT_rep1_60 (ACSS2 dataset)


title: G14.5_Stat3WT_rep1_64 (ACSS2 dataset)


title: G14.5_Stat3WT_rep2_17 (ACSS2 dataset)


title: G14.5_Stat3WT_rep1_63 (ACSS2 dataset)


title: G14.5_Stat3WT_rep1_62 (ACSS2 dataset)


title: G14.5_Stat3WT_rep2_16 (ACSS2 dataset)


title: G14.5_Stat3WT_rep1_59 (ACSS2 dataset)


title: G14.5_Stat3WT_rep1_57 (ACSS2 dataset)


title: G14.5_Stat3WT_rep1_58 (ACSS2 dataset)


title: G14.5_Stat3WT_rep1_56 (ACSS2 dataset)


title: G14.5_Stat3WT_rep1_55 (ACSS2 dataset)


title: G14.5_Stat3WT_rep2_9 (ACSS2 dataset)


title: G14.5_Stat3WT_rep1_52 (ACSS2 dataset)


title: G14.5_Stat3WT_rep1_54 (ACSS2 dataset)


title: G14.5_Stat3WT_rep2_7 (ACSS2 dataset)


title: G14.5_Stat3WT_rep1_51 (ACSS2 dataset)


title: G14.5_Stat3WT_rep1_53 (ACSS2 dataset)


title: G14.5_Stat3WT_rep1_50 (ACSS2 dataset)


title: G14.5_Stat3WT_rep1_49 (ACSS2 dataset)


title: G14.5_Stat3WT_rep1_48 (ACSS2 dataset)


title: G14.5_Stat3WT_rep1_46 (ACSS2 dataset)


title: G14.5_Stat3WT_rep1_47 (ACSS2 dataset)


title: G14.5_Stat3WT_rep1_44 (ACSS2 dataset)


title: G14.5_Stat3WT_rep1_45 (ACSS2 dataset)


title: G14.5_Stat3WT_rep1_43 (ACSS2 dataset)


title: G14.5_Stat3WT_rep1_42 (ACSS2 dataset)


title: G14.5_Stat3WT_rep1_41 (ACSS2 dataset)


title: G14.5_Stat3WT_rep1_40 (ACSS2 dataset)


title: G14.5_Stat3WT_rep1_39 (ACSS2 dataset)


title: G14.5_Stat3WT_rep1_37 (ACSS2 dataset)


title: G14.5_Stat3WT_rep1_33 (ACSS2 dataset)


title: G14.5_Stat3WT_rep1_38 (ACSS2 dataset)


title: G14.5_Stat3WT_rep1_35 (ACSS2 dataset)


title: G14.5_Stat3WT_rep1_36 (ACSS2 dataset)


title: G14.5_Stat3WT_rep1_32 (ACSS2 dataset)


title: G14.5_Stat3WT_rep1_31 (ACSS2 dataset)


title: G14.5_Stat3WT_rep1_30 (ACSS2 dataset)


title: G14.5_Stat3WT_rep1_28 (ACSS2 dataset)


title: G14.5_Stat3WT_rep1_29 (ACSS2 dataset)


title: G14.5_Stat3WT_rep1_26 (ACSS2 dataset)


title: G14.5_Stat3WT_rep1_25 (ACSS2 dataset)


title: G14.5_Stat3WT_rep1_27 (ACSS2 dataset)


title: G14.5_Stat3WT_rep1_23 (ACSS2 dataset)


title: G14.5_Stat3WT_rep1_21 (ACSS2 dataset)


title: G14.5_Stat3WT_rep1_22 (ACSS2 dataset)


title: G14.5_Stat3WT_rep1_20 (ACSS2 dataset)


title: G14.5_Stat3WT_rep1_19 (ACSS2 dataset)


title: G14.5_Stat3WT_rep1_17 (ACSS2 dataset)


title: G14.5_Stat3WT_rep1_18 (ACSS2 dataset)


title: G14.5_Stat3WT_rep1_14 (ACSS2 dataset)


title: G14.5_Stat3WT_rep1_16 (ACSS2 dataset)


title: G14.5_Stat3WT_rep1_15 (ACSS2 dataset)


title: G14.5_Stat3WT_rep1_10 (ACSS2 dataset)


title: G14.5_Stat3WT_rep1_11 (ACSS2 dataset)


title: G14.5_Stat3WT_rep1_13 (ACSS2 dataset)


title: G14.5_Stat3WT_rep1_12 (ACSS2 dataset)


title: G14.5_Stat3WT_rep1_8 (ACSS2 dataset)


title: G14.5_Stat3WT_rep1_34 (ACSS2 dataset)


title: G14.5_Stat3WT_rep1_5 (ACSS2 dataset)


title: G14.5_Stat3WT_rep1_6 (ACSS2 dataset)


title: G14.5_Stat3WT_rep1_4 (ACSS2 dataset)


title: G14.5_Stat3WT_rep1_3 (ACSS2 dataset)


title: G14.5_Stat3WT_rep1_7 (ACSS2 dataset)


title: G14.5_Stat3WT_rep1_2 (ACSS2 dataset)


title: G14.5_Stat3KO_rep2_92 (ACSS2 dataset)

description:
pancreatic Beta cell, G14.5Stat3KO, biol rep2, scRNAseq
scRNA-seq
Smart-seq3xpress

value: Stat3 knockout


title: G14.5_Stat3WT_rep1_24 (ACSS2 dataset)


title: G14.5_Stat3KO_rep2_91 (ACSS2 dataset)


title: G14.5_Stat3KO_rep2_89 (ACSS2 dataset)


title: G14.5_Stat3KO_rep2_86 (ACSS2 dataset)


title: G14.5_Stat3KO_rep2_90 (ACSS2 dataset)


title: G14.5_Stat3KO_rep2_85 (ACSS2 dataset)


title: G14.5_Stat3KO_rep2_84 (ACSS2 dataset)


title: G14.5_Stat3KO_rep2_88 (ACSS2 dataset)


title: G14.5_Stat3KO_rep2_87 (ACSS2 dataset)


title: G14.5_Stat3KO_rep2_82 (ACSS2 dataset)


title: G14.5_Stat3KO_rep2_81 (ACSS2 dataset)


title: G14.5_Stat3KO_rep2_79 (ACSS2 dataset)


title: G14.5_Stat3KO_rep2_80 (ACSS2 dataset)


title: G14.5_Stat3KO_rep2_78 (ACSS2 dataset)


title: G14.5_Stat3WT_rep1_9 (ACSS2 dataset)


title: G14.5_Stat3KO_rep2_77 (ACSS2 dataset)


title: G14.5_Stat3KO_rep2_83 (ACSS2 dataset)


title: G14.5_Stat3KO_rep2_74 (ACSS2 dataset)


title: G14.5_Stat3KO_rep2_72 (ACSS2 dataset)


title: G14.5_Stat3WT_rep1_1 (ACSS2 dataset)


title: G14.5_Stat3KO_rep2_70 (ACSS2 dataset)


title: G14.5_Stat3KO_rep2_69 (ACSS2 dataset)


title: G14.5_Stat3KO_rep2_73 (ACSS2 dataset)


title: G14.5_Stat3KO_rep2_67 (ACSS2 dataset)


title: G14.5_Stat3KO_rep2_75 (ACSS2 dataset)


title: G14.5_Stat3KO_rep2_71 (ACSS2 dataset)


title: G14.5_Stat3KO_rep2_68 (ACSS2 dataset)


title: G14.5_Stat3KO_rep2_63 (ACSS2 dataset)


title: G14.5_Stat3KO_rep2_65 (ACSS2 dataset)


title: G14.5_Stat3KO_rep2_62 (ACSS2 dataset)


title: G14.5_Stat3KO_rep2_61 (ACSS2 dataset)


title: G14.5_Stat3KO_rep2_64 (ACSS2 dataset)


title: G14.5_Stat3KO_rep2_59 (ACSS2 dataset)


title: G14.5_Stat3KO_rep2_60 (ACSS2 dataset)


title: G14.5_Stat3KO_rep2_57 (ACSS2 dataset)


title: G14.5_Stat3KO_rep2_58 (ACSS2 dataset)


title: G14.5_Stat3KO_rep2_56 (ACSS2 dataset)


title: G14.5_Stat3KO_rep2_55 (ACSS2 dataset)


title: G14.5_Stat3KO_rep2_54 (ACSS2 dataset)


title: G14.5_Stat3KO_rep2_76 (ACSS2 dataset)


title: G14.5_Stat3KO_rep2_53 (ACSS2 dataset)


title: G14.5_Stat3KO_rep2_51 (ACSS2 dataset)


title: G14.5_Stat3KO_rep2_50 (ACSS2 dataset)


title: G14.5_Stat3KO_rep2_49 (ACSS2 dataset)


title: G14.5_Stat3KO_rep2_66 (ACSS2 dataset)


title: G14.5_Stat3KO_rep2_45 (ACSS2 dataset)


title: G14.5_Stat3KO_rep2_42 (ACSS2 dataset)


title: G14.5_Stat3KO_rep2_46 (ACSS2 dataset)


title: G14.5_Stat3KO_rep2_43 (ACSS2 dataset)


title: G14.5_Stat3KO_rep2_40 (ACSS2 dataset)


title: G14.5_Stat3KO_rep2_41 (ACSS2 dataset)


title: G14.5_Stat3KO_rep2_39 (ACSS2 dataset)


title: G14.5_Stat3KO_rep2_38 (ACSS2 dataset)


title: G14.5_Stat3KO_rep2_35 (ACSS2 dataset)


title: G14.5_Stat3KO_rep2_33 (ACSS2 dataset)


title: G14.5_Stat3KO_rep2_37 (ACSS2 dataset)


title: G14.5_Stat3KO_rep2_36 (ACSS2 dataset)


title: G14.5_Stat3KO_rep2_31 (ACSS2 dataset)


title: G14.5_Stat3KO_rep2_32 (ACSS2 dataset)


title: G14.5_Stat3KO_rep2_30 (ACSS2 dataset)


title: G14.5_Stat3KO_rep2_34 (ACSS2 dataset)


title: G14.5_Stat3KO_rep2_52 (ACSS2 dataset)


title: G14.5_Stat3KO_rep2_27 (ACSS2 dataset)


title: G14.5_Stat3KO_rep2_29 (ACSS2 dataset)


title: G14.5_Stat3KO_rep2_28 (ACSS2 dataset)


title: G14.5_Stat3KO_rep2_48 (ACSS2 dataset)


title: G14.5_Stat3KO_rep2_23 (ACSS2 dataset)


title: G14.5_Stat3KO_rep2_47 (ACSS2 dataset)


title: G14.5_Stat3KO_rep2_25 (ACSS2 dataset)


title: G14.5_Stat3KO_rep2_22 (ACSS2 dataset)


title: G14.5_Stat3KO_rep2_21 (ACSS2 dataset)


title: G14.5_Stat3KO_rep2_20 (ACSS2 dataset)


title: G14.5_Stat3KO_rep2_44 (ACSS2 dataset)


title: G14.5_Stat3KO_rep2_19 (ACSS2 dataset)


title: G14.5_Stat3KO_rep2_17 (ACSS2 dataset)


title: G14.5_Stat3KO_rep2_16 (ACSS2 dataset)


title: G14.5_Stat3KO_rep2_15 (ACSS2 dataset)


title: G14.5_Stat3KO_rep2_13 (ACSS2 dataset)


title: G14.5_Stat3KO_rep2_12 (ACSS2 dataset)


title: G14.5_Stat3KO_rep2_11 (ACSS2 dataset)


title: G14.5_Stat3KO_rep2_10 (ACSS2 dataset)


title: G14.5_Stat3KO_rep2_6 (ACSS2 dataset)


title: G14.5_Stat3KO_rep2_8 (ACSS2 dataset)


title: G14.5_Stat3KO_rep2_9 (ACSS2 dataset)


title: G14.5_Stat3KO_rep2_7 (ACSS2 dataset)


title: G14.5_Stat3KO_rep2_26 (ACSS2 dataset)


title: G14.5_Stat3KO_rep2_5 (ACSS2 dataset)


title: G14.5_Stat3KO_rep2_24 (ACSS2 dataset)


title: G14.5_Stat3KO_rep2_3 (ACSS2 dataset)


title: G14.5_Stat3KO_rep2_4 (ACSS2 dataset)


title: G14.5_Stat3KO_rep1_98 (ACSS2 dataset)

description:
pancreatic Beta cell, G14.5Stat3KO, biol rep1, scRNAseq
scRNA-seq
Smart-seq3xpress


title: G14.5_Stat3KO_rep2_1 (ACSS2 dataset)


title: G14.5_Stat3KO_rep1_96 (ACSS2 dataset)


title: G14.5_Stat3KO_rep1_97 (ACSS2 dataset)


title: G14.5_Stat3KO_rep2_2 (ACSS2 dataset)


title: G14.5_Stat3KO_rep1_92 (ACSS2 dataset)


title: G14.5_Stat3KO_rep1_95 (ACSS2 dataset)


title: G14.5_Stat3KO_rep1_94 (ACSS2 dataset)


title: G14.5_Stat3KO_rep1_91 (ACSS2 dataset)


title: G14.5_Stat3KO_rep1_93 (ACSS2 dataset)


title: G14.5_Stat3KO_rep2_14 (ACSS2 dataset)


title: G14.5_Stat3KO_rep2_18 (ACSS2 dataset)


title: G14.5_Stat3KO_rep1_90 (ACSS2 dataset)


title: G14.5_Stat3KO_rep1_89 (ACSS2 dataset)


title: G14.5_Stat3KO_rep1_88 (ACSS2 dataset)


title: G14.5_Stat3KO_rep1_85 (ACSS2 dataset)


title: G14.5_Stat3KO_rep1_84 (ACSS2 dataset)


title: G14.5_Stat3KO_rep1_83 (ACSS2 dataset)


title: G14.5_Stat3KO_rep1_82 (ACSS2 dataset)


title: G14.5_Stat3KO_rep1_80 (ACSS2 dataset)


title: G14.5_Stat3KO_rep1_81 (ACSS2 dataset)


title: G14.5_Stat3KO_rep1_78 (ACSS2 dataset)


title: G14.5_Stat3KO_rep1_77 (ACSS2 dataset)


title: G14.5_Stat3KO_rep1_76 (ACSS2 dataset)


title: G14.5_Stat3KO_rep1_74 (ACSS2 dataset)


title: G14.5_Stat3KO_rep1_73 (ACSS2 dataset)


title: G14.5_Stat3KO_rep1_72 (ACSS2 dataset)


title: G14.5_Stat3KO_rep1_66 (ACSS2 dataset)


title: G14.5_Stat3KO_rep1_75 (ACSS2 dataset)


title: G14.5_Stat3KO_rep1_69 (ACSS2 dataset)


title: G14.5_Stat3KO_rep1_63 (ACSS2 dataset)


title: G14.5_Stat3KO_rep1_68 (ACSS2 dataset)


title: G14.5_Stat3KO_rep1_87 (ACSS2 dataset)


title: G14.5_Stat3KO_rep1_86 (ACSS2 dataset)


title: G14.5_Stat3KO_rep1_60 (ACSS2 dataset)


title: G14.5_Stat3KO_rep1_61 (ACSS2 dataset)


title: G14.5_Stat3KO_rep1_70 (ACSS2 dataset)


title: G14.5_Stat3KO_rep1_65 (ACSS2 dataset)


title: G14.5_Stat3KO_rep1_67 (ACSS2 dataset)


title: G14.5_Stat3KO_rep1_64 (ACSS2 dataset)


title: G14.5_Stat3KO_rep1_62 (ACSS2 dataset)


title: G14.5_Stat3KO_rep1_58 (ACSS2 dataset)


title: G14.5_Stat3KO_rep1_56 (ACSS2 dataset)


title: G14.5_Stat3KO_rep1_79 (ACSS2 dataset)


title: G14.5_Stat3KO_rep1_59 (ACSS2 dataset)


title: G14.5_Stat3KO_rep1_57 (ACSS2 dataset)


title: G14.5_Stat3KO_rep1_54 (ACSS2 dataset)


title: G14.5_Stat3KO_rep1_71 (ACSS2 dataset)


title: G14.5_Stat3KO_rep1_51 (ACSS2 dataset)


title: G14.5_Stat3KO_rep1_53 (ACSS2 dataset)


title: G14.5_Stat3KO_rep1_52 (ACSS2 dataset)


title: G14.5_Stat3KO_rep1_50 (ACSS2 dataset)


title: G14.5_Stat3KO_rep1_48 (ACSS2 dataset)


title: G14.5_Stat3KO_rep1_46 (ACSS2 dataset)


title: G14.5_Stat3KO_rep1_44 (ACSS2 dataset)


title: G14.5_Stat3KO_rep1_45 (ACSS2 dataset)


title: G14.5_Stat3KO_rep1_43 (ACSS2 dataset)


title: G14.5_Stat3KO_rep1_38 (ACSS2 dataset)


title: G14.5_Stat3KO_rep1_35 (ACSS2 dataset)


title: G14.5_Stat3KO_rep1_39 (ACSS2 dataset)


title: G14.5_Stat3KO_rep1_41 (ACSS2 dataset)


title: G14.5_Stat3KO_rep1_42 (ACSS2 dataset)


title: G14.5_Stat3KO_rep1_55 (ACSS2 dataset)


title: G14.5_Stat3KO_rep1_40 (ACSS2 dataset)


title: G14.5_Stat3KO_rep1_36 (ACSS2 dataset)


title: G14.5_Stat3KO_rep1_37 (ACSS2 dataset)


title: G14.5_Stat3KO_rep1_34 (ACSS2 dataset)


title: G14.5_Stat3KO_rep1_33 (ACSS2 dataset)


title: G14.5_Stat3KO_rep1_32 (ACSS2 dataset)


title: G14.5_Stat3KO_rep1_31 (ACSS2 dataset)


title: G14.5_Stat3KO_rep1_29 (ACSS2 dataset)


title: G14.5_Stat3KO_rep1_30 (ACSS2 dataset)


title: G14.5_Stat3KO_rep1_27 (ACSS2 dataset)


title: G14.5_Stat3KO_rep1_28 (ACSS2 dataset)


title: G14.5_Stat3KO_rep1_26 (ACSS2 dataset)


title: G14.5_Stat3KO_rep1_25 (ACSS2 dataset)


title: G14.5_Stat3KO_rep1_22 (ACSS2 dataset)


title: G14.5_Stat3KO_rep1_23 (ACSS2 dataset)


title: G14.5_Stat3KO_rep1_24 (ACSS2 dataset)


title: G14.5_Stat3KO_rep1_49 (ACSS2 dataset)


title: G14.5_Stat3KO_rep1_47 (ACSS2 dataset)


title: G14.5_Stat3KO_rep1_21 (ACSS2 dataset)


title: G14.5_Stat3KO_rep1_20 (ACSS2 dataset)


title: G14.5_Stat3KO_rep1_19 (ACSS2 dataset)


title: G14.5_Stat3KO_rep1_16 (ACSS2 dataset)


title: G14.5_Stat3KO_rep1_17 (ACSS2 dataset)


title: G14.5_Stat3KO_rep1_18 (ACSS2 dataset)


title: G14.5_Stat3KO_rep1_14 (ACSS2 dataset)


title: G14.5_Stat3KO_rep1_12 (ACSS2 dataset)


title: G14.5_Stat3KO_rep1_11 (ACSS2 dataset)


title: G14.5_Stat3KO_rep1_15 (ACSS2 dataset)


title: G14.5_Stat3KO_rep1_9 (ACSS2 dataset)


title: G14.5_Stat3KO_rep1_13 (ACSS2 dataset)


title: G14.5_Stat3KO_rep1_10 (ACSS2 dataset)


title: G14.5_Stat3KO_rep1_7 (ACSS2 dataset)


title: G14.5_Stat3KO_rep1_6 (ACSS2 dataset)


title: G14.5_Stat3KO_rep1_5 (ACSS2 dataset)


title: G14.5_Stat3KO_rep1_4 (ACSS2 dataset)


title: G14.5_Stat3KO_rep1_8 (ACSS2 dataset)


title: G14.5_Stat3KO_rep1_3 (ACSS2 dataset)


title: G14.5_Stat3KO_rep1_2 (ACSS2 dataset)


title: G14.5_Acss2WT_rep2_46 (ACSS2 dataset)

description:
pancreatic Beta cell, G14.5Acss2WT, biol rep2, scRNAseq
scRNA-seq
Smart-seq3xpress

value: Acss2 WT


title: G14.5_Acss2WT_rep2_45 (ACSS2 dataset)


title: G14.5_Stat3KO_rep1_1 (ACSS2 dataset)


title: G14.5_Acss2WT_rep2_42 (ACSS2 dataset)


title: G14.5_Acss2WT_rep2_43 (ACSS2 dataset)


title: G14.5_Acss2WT_rep2_40 (ACSS2 dataset)


title: G14.5_Acss2WT_rep2_44 (ACSS2 dataset)


title: G14.5_Acss2WT_rep2_39 (ACSS2 dataset)


title: G14.5_Acss2WT_rep2_38 (ACSS2 dataset)


title: G14.5_Acss2WT_rep2_37 (ACSS2 dataset)


title: G14.5_Acss2WT_rep2_36 (ACSS2 dataset)


title: G14.5_Acss2WT_rep2_35 (ACSS2 dataset)


title: G14.5_Acss2WT_rep2_34 (ACSS2 dataset)


title: G14.5_Acss2WT_rep2_33 (ACSS2 dataset)


title: G14.5_Acss2WT_rep2_32 (ACSS2 dataset)


title: G14.5_Acss2WT_rep2_30 (ACSS2 dataset)


title: G14.5_Acss2WT_rep2_31 (ACSS2 dataset)


title: G14.5_Acss2WT_rep2_28 (ACSS2 dataset)


title: G14.5_Acss2WT_rep2_26 (ACSS2 dataset)


title: G14.5_Acss2WT_rep2_29 (ACSS2 dataset)


title: G14.5_Acss2WT_rep2_23 (ACSS2 dataset)


title: G14.5_Acss2WT_rep2_27 (ACSS2 dataset)


title: G14.5_Acss2WT_rep2_18 (ACSS2 dataset)


title: G14.5_Acss2WT_rep2_24 (ACSS2 dataset)


title: G14.5_Acss2WT_rep2_41 (ACSS2 dataset)


title: G14.5_Acss2WT_rep2_21 (ACSS2 dataset)


title: G14.5_Acss2WT_rep2_22 (ACSS2 dataset)


title: G14.5_Acss2WT_rep2_16 (ACSS2 dataset)


title: G14.5_Acss2WT_rep2_25 (ACSS2 dataset)


title: G14.5_Acss2WT_rep2_15 (ACSS2 dataset)


title: G14.5_Acss2WT_rep2_19 (ACSS2 dataset)


title: G14.5_Acss2WT_rep2_13 (ACSS2 dataset)


title: G14.5_Acss2WT_rep2_12 (ACSS2 dataset)


title: G14.5_Acss2WT_rep2_17 (ACSS2 dataset)


title: G14.5_Acss2WT_rep2_10 (ACSS2 dataset)


title: G14.5_Acss2WT_rep2_8 (ACSS2 dataset)


title: G14.5_Acss2WT_rep2_9 (ACSS2 dataset)


title: G14.5_Acss2WT_rep2_11 (ACSS2 dataset)


title: G14.5_Acss2WT_rep2_6 (ACSS2 dataset)


title: G14.5_Acss2WT_rep2_7 (ACSS2 dataset)


title: G14.5_Acss2WT_rep2_5 (ACSS2 dataset)


title: G14.5_Acss2WT_rep2_4 (ACSS2 dataset)


title: G14.5_Acss2WT_rep2_3 (ACSS2 dataset)


title: G14.5_Acss2WT_rep2_20 (ACSS2 dataset)


title: G14.5_Acss2WT_rep2_1 (ACSS2 dataset)


title: G14.5_Acss2WT_rep1_65 (ACSS2 dataset)

description:
pancreatic Beta cell, G14.5Acss2WT, biol rep1, scRNAseq
scRNA-seq
Smart-seq3xpress


title: G14.5_Acss2WT_rep1_64 (ACSS2 dataset)


title: G14.5_Acss2WT_rep2_14 (ACSS2 dataset)


title: G14.5_Acss2WT_rep1_61 (ACSS2 dataset)


title: G14.5_Acss2WT_rep1_63 (ACSS2 dataset)


title: G14.5_Acss2WT_rep1_60 (ACSS2 dataset)


title: G14.5_Acss2WT_rep1_59 (ACSS2 dataset)


title: G14.5_Acss2WT_rep1_57 (ACSS2 dataset)


title: G14.5_Acss2WT_rep1_58 (ACSS2 dataset)


title: G14.5_Acss2WT_rep1_52 (ACSS2 dataset)


title: G14.5_Acss2WT_rep1_51 (ACSS2 dataset)


title: G14.5_Acss2WT_rep1_56 (ACSS2 dataset)


title: G14.5_Acss2WT_rep1_48 (ACSS2 dataset)


title: G14.5_Acss2WT_rep1_54 (ACSS2 dataset)


title: G14.5_Acss2WT_rep1_55 (ACSS2 dataset)


title: G14.5_Acss2WT_rep1_46 (ACSS2 dataset)


title: G14.5_Acss2WT_rep1_45 (ACSS2 dataset)


title: G14.5_Acss2WT_rep1_43 (ACSS2 dataset)


title: G14.5_Acss2WT_rep1_47 (ACSS2 dataset)


title: G14.5_Acss2WT_rep1_42 (ACSS2 dataset)


title: G14.5_Acss2WT_rep1_41 (ACSS2 dataset)


title: G14.5_Acss2WT_rep2_2 (ACSS2 dataset)


title: G14.5_Acss2WT_rep1_40 (ACSS2 dataset)


title: G14.5_Acss2WT_rep1_39 (ACSS2 dataset)


title: G14.5_Acss2WT_rep1_36 (ACSS2 dataset)


title: G14.5_Acss2WT_rep1_37 (ACSS2 dataset)


title: G14.5_Acss2WT_rep1_62 (ACSS2 dataset)


title: G14.5_Acss2WT_rep1_38 (ACSS2 dataset)


title: G14.5_Acss2WT_rep1_34 (ACSS2 dataset)


title: G14.5_Acss2WT_rep1_53 (ACSS2 dataset)


title: G14.5_Acss2WT_rep1_33 (ACSS2 dataset)


title: G14.5_Acss2WT_rep1_27 (ACSS2 dataset)


title: G14.5_Acss2WT_rep1_26 (ACSS2 dataset)


title: G14.5_Acss2WT_rep1_28 (ACSS2 dataset)


title: G14.5_Acss2WT_rep1_29 (ACSS2 dataset)


title: G14.5_Acss2WT_rep1_24 (ACSS2 dataset)


title: G14.5_Acss2WT_rep1_23 (ACSS2 dataset)


title: G14.5_Acss2WT_rep1_49 (ACSS2 dataset)


title: G14.5_Acss2WT_rep1_44 (ACSS2 dataset)


title: G14.5_Acss2WT_rep1_16 (ACSS2 dataset)


title: G14.5_Acss2WT_rep1_25 (ACSS2 dataset)


title: G14.5_Acss2WT_rep1_20 (ACSS2 dataset)


title: G14.5_Acss2WT_rep1_19 (ACSS2 dataset)


title: G14.5_Acss2WT_rep1_17 (ACSS2 dataset)


title: G14.5_Acss2WT_rep1_18 (ACSS2 dataset)


title: G14.5_Acss2WT_rep1_21 (ACSS2 dataset)


title: G14.5_Acss2WT_rep1_13 (ACSS2 dataset)


title: G14.5_Acss2WT_rep1_14 (ACSS2 dataset)


title: G14.5_Acss2WT_rep1_10 (ACSS2 dataset)


title: G14.5_Acss2WT_rep1_12 (ACSS2 dataset)


title: G14.5_Acss2WT_rep1_11 (ACSS2 dataset)


title: G14.5_Acss2WT_rep1_8 (ACSS2 dataset)


title: G14.5_Acss2WT_rep1_35 (ACSS2 dataset)


title: G14.5_Acss2WT_rep1_3 (ACSS2 dataset)


title: G14.5_Acss2WT_rep1_5 (ACSS2 dataset)


title: G14.5_Acss2WT_rep1_2 (ACSS2 dataset)


title: G14.5_Acss2WT_rep1_7 (ACSS2 dataset)


title: G14.5_Acss2WT_rep1_1 (ACSS2 dataset)


title: G14.5_Acss2KO_rep2_60 (ACSS2 dataset)

description:
pancreatic Beta cell, G14.5Acss2KO, biol rep2, scRNAseq
scRNA-seq
Smart-seq3xpress

value: Acss2 knockout


title: G14.5_Acss2WT_rep1_31 (ACSS2 dataset)


title: G14.5_Acss2WT_rep1_32 (ACSS2 dataset)


title: G14.5_Acss2WT_rep1_50 (ACSS2 dataset)


title: G14.5_Acss2KO_rep2_58 (ACSS2 dataset)


title: G14.5_Acss2KO_rep2_57 (ACSS2 dataset)


title: G14.5_Acss2WT_rep1_30 (ACSS2 dataset)


title: G14.5_Acss2KO_rep2_56 (ACSS2 dataset)


title: G14.5_Acss2WT_rep1_22 (ACSS2 dataset)


title: G14.5_Acss2KO_rep2_59 (ACSS2 dataset)


title: G14.5_Acss2KO_rep2_53 (ACSS2 dataset)


title: G14.5_Acss2WT_rep1_6 (ACSS2 dataset)


title: G14.5_Acss2KO_rep2_54 (ACSS2 dataset)


title: G14.5_Acss2KO_rep2_51 (ACSS2 dataset)


title: G14.5_Acss2KO_rep2_50 (ACSS2 dataset)


title: G14.5_Acss2KO_rep2_47 (ACSS2 dataset)


title: G14.5_Acss2KO_rep2_48 (ACSS2 dataset)


title: G14.5_Acss2KO_rep2_49 (ACSS2 dataset)


title: G14.5_Acss2WT_rep1_4 (ACSS2 dataset)


title: G14.5_Acss2KO_rep2_46 (ACSS2 dataset)


title: G14.5_Acss2KO_rep2_45 (ACSS2 dataset)


title: G14.5_Acss2KO_rep2_44 (ACSS2 dataset)


title: G14.5_Acss2KO_rep2_43 (ACSS2 dataset)


title: G14.5_Acss2KO_rep2_39 (ACSS2 dataset)


title: G14.5_Acss2KO_rep2_42 (ACSS2 dataset)


title: G14.5_Acss2KO_rep2_38 (ACSS2 dataset)


title: G14.5_Acss2KO_rep2_37 (ACSS2 dataset)


title: G14.5_Acss2KO_rep2_36 (ACSS2 dataset)


title: G14.5_Acss2KO_rep2_33 (ACSS2 dataset)


title: G14.5_Acss2KO_rep2_34 (ACSS2 dataset)


title: G14.5_Acss2KO_rep2_35 (ACSS2 dataset)


title: G14.5_Acss2KO_rep2_52 (ACSS2 dataset)


title: G14.5_Acss2KO_rep2_30 (ACSS2 dataset)


title: G14.5_Acss2KO_rep2_32 (ACSS2 dataset)


title: G14.5_Acss2KO_rep2_29 (ACSS2 dataset)


title: G14.5_Acss2KO_rep2_31 (ACSS2 dataset)


title: G14.5_Acss2KO_rep2_28 (ACSS2 dataset)


title: G14.5_Acss2KO_rep2_26 (ACSS2 dataset)


title: G14.5_Acss2KO_rep2_25 (ACSS2 dataset)


title: G14.5_Acss2KO_rep2_27 (ACSS2 dataset)


title: G14.5_Acss2KO_rep2_24 (ACSS2 dataset)


title: G14.5_Acss2KO_rep2_21 (ACSS2 dataset)


title: G14.5_Acss2KO_rep2_23 (ACSS2 dataset)


title: G14.5_Acss2KO_rep2_41 (ACSS2 dataset)


title: G14.5_Acss2KO_rep2_18 (ACSS2 dataset)


title: G14.5_Acss2KO_rep2_19 (ACSS2 dataset)


title: G14.5_Acss2KO_rep2_40 (ACSS2 dataset)


title: G14.5_Acss2KO_rep2_20 (ACSS2 dataset)


title: G14.5_Acss2KO_rep2_16 (ACSS2 dataset)


title: G14.5_Acss2KO_rep2_15 (ACSS2 dataset)


title: G14.5_Acss2KO_rep2_13 (ACSS2 dataset)


title: G14.5_Acss2KO_rep2_14 (ACSS2 dataset)


title: G14.5_Acss2KO_rep2_12 (ACSS2 dataset)


title: G14.5_Acss2KO_rep2_11 (ACSS2 dataset)


title: G14.5_Acss2KO_rep2_8 (ACSS2 dataset)


title: G14.5_Acss2KO_rep2_10 (ACSS2 dataset)


title: G14.5_Acss2KO_rep2_9 (ACSS2 dataset)


title: G14.5_Acss2KO_rep2_7 (ACSS2 dataset)


title: G14.5_Acss2KO_rep2_3 (ACSS2 dataset)


title: G14.5_Acss2KO_rep2_22 (ACSS2 dataset)


title: G14.5_Acss2KO_rep2_4 (ACSS2 dataset)


title: G14.5_Acss2KO_rep2_1 (ACSS2 dataset)


title: G14.5_Acss2KO_rep2_2 (ACSS2 dataset)


title: G14.5_Acss2KO_rep1_60 (ACSS2 dataset)

description:
pancreatic Beta cell, G14.5Acss2KO, biol rep1, scRNAseq
scRNA-seq
Smart-seq3xpress


title: G14.5_Acss2KO_rep1_59 (ACSS2 dataset)


title: G14.5_Acss2KO_rep2_17 (ACSS2 dataset)


title: G14.5_Acss2KO_rep1_57 (ACSS2 dataset)


title: G14.5_Acss2KO_rep1_55 (ACSS2 dataset)


title: G14.5_Acss2KO_rep1_56 (ACSS2 dataset)


title: G14.5_Acss2KO_rep1_53 (ACSS2 dataset)


title: G14.5_Acss2KO_rep1_52 (ACSS2 dataset)


title: G14.5_Acss2KO_rep1_51 (ACSS2 dataset)


title: G14.5_Acss2KO_rep1_54 (ACSS2 dataset)


title: G14.5_Acss2KO_rep2_6 (ACSS2 dataset)


title: G14.5_Acss2KO_rep1_48 (ACSS2 dataset)


title: G14.5_Acss2KO_rep1_49 (ACSS2 dataset)


title: G14.5_Acss2KO_rep2_5 (ACSS2 dataset)


title: G14.5_Acss2KO_rep1_47 (ACSS2 dataset)


title: G14.5_Acss2KO_rep1_45 (ACSS2 dataset)


title: G14.5_Acss2KO_rep1_46 (ACSS2 dataset)


title: G14.5_Acss2KO_rep1_50 (ACSS2 dataset)


title: G14.5_Acss2KO_rep1_41 (ACSS2 dataset)


title: G14.5_Acss2KO_rep1_43 (ACSS2 dataset)


title: G14.5_Acss2KO_rep1_61 (ACSS2 dataset)


title: G14.5_Acss2KO_rep1_40 (ACSS2 dataset)


title: G14.5_Acss2KO_rep1_42 (ACSS2 dataset)


title: G14.5_Acss2KO_rep1_44 (ACSS2 dataset)


title: G14.5_Acss2KO_rep1_58 (ACSS2 dataset)


title: G14.5_Acss2KO_rep1_37 (ACSS2 dataset)


title: G14.5_Acss2KO_rep1_38 (ACSS2 dataset)


title: G14.5_Acss2KO_rep1_39 (ACSS2 dataset)


title: G14.5_Acss2KO_rep1_35 (ACSS2 dataset)


title: G14.5_Acss2KO_rep1_33 (ACSS2 dataset)


title: G14.5_Acss2KO_rep1_36 (ACSS2 dataset)


title: G14.5_Acss2KO_rep1_34 (ACSS2 dataset)


title: G14.5_Acss2KO_rep1_30 (ACSS2 dataset)


title: G14.5_Acss2KO_rep1_31 (ACSS2 dataset)


title: G14.5_Acss2KO_rep1_32 (ACSS2 dataset)


title: G14.5_Acss2KO_rep1_28 (ACSS2 dataset)


title: G14.5_Acss2KO_rep1_29 (ACSS2 dataset)


title: G14.5_Acss2KO_rep1_27 (ACSS2 dataset)


title: G14.5_Acss2KO_rep1_25 (ACSS2 dataset)


title: G14.5_Acss2KO_rep1_26 (ACSS2 dataset)


title: G14.5_Acss2KO_rep1_24 (ACSS2 dataset)


title: G14.5_Acss2KO_rep1_21 (ACSS2 dataset)


title: G14.5_Acss2KO_rep1_23 (ACSS2 dataset)


title: G14.5_Acss2KO_rep1_22 (ACSS2 dataset)


title: G14.5_Acss2KO_rep1_19 (ACSS2 dataset)


title: G14.5_Acss2KO_rep1_18 (ACSS2 dataset)


title: G14.5_Acss2KO_rep1_20 (ACSS2 dataset)


title: G14.5_Acss2KO_rep1_16 (ACSS2 dataset)


title: G14.5_Acss2KO_rep1_17 (ACSS2 dataset)


title: G14.5_Acss2KO_rep1_13 (ACSS2 dataset)


title: G14.5_Acss2KO_rep1_14 (ACSS2 dataset)


title: G14.5_Acss2KO_rep1_12 (ACSS2 dataset)


title: G14.5_Acss2KO_rep1_15 (ACSS2 dataset)


title: G14.5_Acss2KO_rep1_10 (ACSS2 dataset)


title: G14.5_Acss2KO_rep1_7 (ACSS2 dataset)


title: G14.5_Acss2KO_rep1_9 (ACSS2 dataset)


title: G14.5_Acss2KO_rep1_8 (ACSS2 dataset)


title: G14.5_Acss2KO_rep1_4 (ACSS2 dataset)


title: G14.5_Acss2KO_rep1_3 (ACSS2 dataset)


title: G14.5_Acss2KO_rep1_5 (ACSS2 dataset)


title: G14.5_Acss2KO_rep1_6 (ACSS2 dataset)


title: G14.5_Acss2KO_rep1_2 (ACSS2 dataset)


title: G14.5_Acss2KO_rep1_1 (ACSS2 dataset)


title: SD_G14.5_Acss2WT_rep2_92 (ACSS2 dataset)

description:
pancreatic Beta cell, SDG14.5_Acss2WT, biol rep2, scRNAseq
scRNA-seq
Smart-seq3xpress


title: SD_G14.5_Acss2WT_rep2_90 (ACSS2 dataset)


title: SD_G14.5_Acss2WT_rep2_89 (ACSS2 dataset)


title: SD_G14.5_Acss2WT_rep2_9 (ACSS2 dataset)


title: SD_G14.5_Acss2WT_rep2_86 (ACSS2 dataset)


title: G14.5_Acss2KO_rep1_11 (ACSS2 dataset)


title: SD_G14.5_Acss2WT_rep2_84 (ACSS2 dataset)


title: SD_G14.5_Acss2WT_rep2_82 (ACSS2 dataset)


title: SD_G14.5_Acss2WT_rep2_87 (ACSS2 dataset)


title: SD_G14.5_Acss2WT_rep2_83 (ACSS2 dataset)


title: SD_G14.5_Acss2WT_rep2_81 (ACSS2 dataset)


title: SD_G14.5_Acss2WT_rep2_8 (ACSS2 dataset)


title: SD_G14.5_Acss2WT_rep2_80 (ACSS2 dataset)


title: SD_G14.5_Acss2WT_rep2_85 (ACSS2 dataset)


title: SD_G14.5_Acss2WT_rep2_78 (ACSS2 dataset)


title: SD_G14.5_Acss2WT_rep2_77 (ACSS2 dataset)


title: SD_G14.5_Acss2WT_rep2_76 (ACSS2 dataset)


title: SD_G14.5_Acss2WT_rep2_75 (ACSS2 dataset)


title: SD_G14.5_Acss2WT_rep2_74 (ACSS2 dataset)


title: SD_G14.5_Acss2WT_rep2_72 (ACSS2 dataset)


title: SD_G14.5_Acss2WT_rep2_73 (ACSS2 dataset)


title: SD_G14.5_Acss2WT_rep2_70 (ACSS2 dataset)


title: SD_G14.5_Acss2WT_rep2_71 (ACSS2 dataset)


title: G14.5_Acss2WT_rep1_9 (ACSS2 dataset)


title: SD_G14.5_Acss2WT_rep2_91 (ACSS2 dataset)


title: SD_G14.5_Acss2WT_rep2_69 (ACSS2 dataset)


title: SD_G14.5_Acss2WT_rep2_88 (ACSS2 dataset)


title: SD_G14.5_Acss2WT_rep2_67 (ACSS2 dataset)


title: SD_G14.5_Acss2WT_rep2_68 (ACSS2 dataset)


title: SD_G14.5_Acss2WT_rep2_66 (ACSS2 dataset)


title: SD_G14.5_Acss2WT_rep2_65 (ACSS2 dataset)


title: G14.5_Acss2WT_rep1_15 (ACSS2 dataset)


title: SD_G14.5_Acss2WT_rep2_64 (ACSS2 dataset)


title: SD_G14.5_Acss2WT_rep2_60 (ACSS2 dataset)


title: SD_G14.5_Acss2WT_rep2_79 (ACSS2 dataset)


title: SD_G14.5_Acss2WT_rep2_62 (ACSS2 dataset)


title: SD_G14.5_Acss2WT_rep2_6 (ACSS2 dataset)


title: SD_G14.5_Acss2WT_rep2_58 (ACSS2 dataset)


title: SD_G14.5_Acss2WT_rep2_57 (ACSS2 dataset)


title: SD_G14.5_Acss2WT_rep2_59 (ACSS2 dataset)


title: SD_G14.5_Acss2WT_rep2_55 (ACSS2 dataset)


title: SD_G14.5_Acss2WT_rep2_54 (ACSS2 dataset)


title: SD_G14.5_Acss2WT_rep2_56 (ACSS2 dataset)


title: SD_G14.5_Acss2WT_rep2_7 (ACSS2 dataset)


title: SD_G14.5_Acss2WT_rep2_52 (ACSS2 dataset)


title: SD_G14.5_Acss2WT_rep2_51 (ACSS2 dataset)


title: SD_G14.5_Acss2WT_rep2_50 (ACSS2 dataset)


title: SD_G14.5_Acss2WT_rep2_5 (ACSS2 dataset)


title: SD_G14.5_Acss2WT_rep2_61 (ACSS2 dataset)


title: G14.5_Acss2KO_rep2_55 (ACSS2 dataset)


title: SD_G14.5_Acss2WT_rep2_63 (ACSS2 dataset)


title: SD_G14.5_Acss2WT_rep2_53 (ACSS2 dataset)


title: SD_G14.5_Acss2WT_rep2_48 (ACSS2 dataset)


title: SD_G14.5_Acss2WT_rep2_47 (ACSS2 dataset)


title: SD_G14.5_Acss2WT_rep2_49 (ACSS2 dataset)


title: SD_G14.5_Acss2WT_rep2_43 (ACSS2 dataset)


title: SD_G14.5_Acss2WT_rep2_44 (ACSS2 dataset)


title: SD_G14.5_Acss2WT_rep2_45 (ACSS2 dataset)


title: SD_G14.5_Acss2WT_rep2_42 (ACSS2 dataset)


title: SD_G14.5_Acss2WT_rep2_41 (ACSS2 dataset)


title: SD_G14.5_Acss2WT_rep2_4 (ACSS2 dataset)


title: SD_G14.5_Acss2WT_rep2_40 (ACSS2 dataset)


title: SD_G14.5_Acss2WT_rep2_37 (ACSS2 dataset)


title: SD_G14.5_Acss2WT_rep2_38 (ACSS2 dataset)


title: SD_G14.5_Acss2WT_rep2_36 (ACSS2 dataset)


title: SD_G14.5_Acss2WT_rep2_35 (ACSS2 dataset)


title: SD_G14.5_Acss2WT_rep2_34 (ACSS2 dataset)


title: SD_G14.5_Acss2WT_rep2_33 (ACSS2 dataset)


title: SD_G14.5_Acss2WT_rep2_31 (ACSS2 dataset)


title: SD_G14.5_Acss2WT_rep2_32 (ACSS2 dataset)


title: SD_G14.5_Acss2WT_rep2_3 (ACSS2 dataset)


title: SD_G14.5_Acss2WT_rep2_30 (ACSS2 dataset)


title: SD_G14.5_Acss2WT_rep2_28 (ACSS2 dataset)


title: SD_G14.5_Acss2WT_rep2_23 (ACSS2 dataset)


title: SD_G14.5_Acss2WT_rep2_29 (ACSS2 dataset)


title: SD_G14.5_Acss2WT_rep2_25 (ACSS2 dataset)


title: SD_G14.5_Acss2WT_rep2_21 (ACSS2 dataset)


title: SD_G14.5_Acss2WT_rep2_24 (ACSS2 dataset)


title: SD_G14.5_Acss2WT_rep2_22 (ACSS2 dataset)


title: SD_G14.5_Acss2WT_rep2_2 (ACSS2 dataset)


title: SD_G14.5_Acss2WT_rep2_20 (ACSS2 dataset)


title: SD_G14.5_Acss2WT_rep2_26 (ACSS2 dataset)


title: SD_G14.5_Acss2WT_rep2_19 (ACSS2 dataset)


title: SD_G14.5_Acss2WT_rep2_17 (ACSS2 dataset)


title: SD_G14.5_Acss2WT_rep2_39 (ACSS2 dataset)


title: SD_G14.5_Acss2WT_rep2_16 (ACSS2 dataset)


title: SD_G14.5_Acss2WT_rep2_18 (ACSS2 dataset)


title: SD_G14.5_Acss2WT_rep2_14 (ACSS2 dataset)


title: SD_G14.5_Acss2WT_rep2_15 (ACSS2 dataset)


title: SD_G14.5_Acss2WT_rep2_13 (ACSS2 dataset)


title: SD_G14.5_Acss2WT_rep2_12 (ACSS2 dataset)


title: SD_G14.5_Acss2WT_rep2_11 (ACSS2 dataset)


title: SD_G14.5_Acss2WT_rep2_10 (ACSS2 dataset)


title: SD_G14.5_Acss2WT_rep2_1 (ACSS2 dataset)


title: SD_G14.5_Acss2WT_rep1_81 (ACSS2 dataset)

description:
pancreatic Beta cell, SDG14.5_Acss2WT, biol rep1, scRNAseq
scRNA-seq
Smart-seq3xpress


title: SD_G14.5_Acss2WT_rep1_9 (ACSS2 dataset)


title: SD_G14.5_Acss2WT_rep2_27 (ACSS2 dataset)


title: SD_G14.5_Acss2WT_rep1_80 (ACSS2 dataset)


title: SD_G14.5_Acss2WT_rep1_8 (ACSS2 dataset)


title: SD_G14.5_Acss2WT_rep2_46 (ACSS2 dataset)


title: SD_G14.5_Acss2WT_rep1_79 (ACSS2 dataset)


title: SD_G14.5_Acss2WT_rep1_77 (ACSS2 dataset)


title: SD_G14.5_Acss2WT_rep1_75 (ACSS2 dataset)


title: SD_G14.5_Acss2WT_rep1_73 (ACSS2 dataset)


title: SD_G14.5_Acss2WT_rep1_74 (ACSS2 dataset)


title: SD_G14.5_Acss2WT_rep1_72 (ACSS2 dataset)


title: SD_G14.5_Acss2WT_rep1_76 (ACSS2 dataset)


title: SD_G14.5_Acss2WT_rep1_71 (ACSS2 dataset)


title: SD_G14.5_Acss2WT_rep1_69 (ACSS2 dataset)


title: SD_G14.5_Acss2WT_rep1_68 (ACSS2 dataset)


title: SD_G14.5_Acss2WT_rep1_7 (ACSS2 dataset)


title: SD_G14.5_Acss2WT_rep1_67 (ACSS2 dataset)


title: SD_G14.5_Acss2WT_rep1_70 (ACSS2 dataset)


title: SD_G14.5_Acss2WT_rep1_66 (ACSS2 dataset)


title: SD_G14.5_Acss2WT_rep1_65 (ACSS2 dataset)


title: SD_G14.5_Acss2WT_rep1_63 (ACSS2 dataset)


title: SD_G14.5_Acss2WT_rep1_64 (ACSS2 dataset)


title: SD_G14.5_Acss2WT_rep1_61 (ACSS2 dataset)


title: SD_G14.5_Acss2WT_rep1_60 (ACSS2 dataset)


title: SD_G14.5_Acss2WT_rep1_62 (ACSS2 dataset)


title: SD_G14.5_Acss2WT_rep1_6 (ACSS2 dataset)


title: SD_G14.5_Acss2WT_rep1_59 (ACSS2 dataset)


title: SD_G14.5_Acss2WT_rep1_78 (ACSS2 dataset)


title: SD_G14.5_Acss2WT_rep1_56 (ACSS2 dataset)


title: SD_G14.5_Acss2WT_rep1_54 (ACSS2 dataset)


title: SD_G14.5_Acss2WT_rep1_55 (ACSS2 dataset)


title: SD_G14.5_Acss2WT_rep1_53 (ACSS2 dataset)


title: SD_G14.5_Acss2WT_rep1_52 (ACSS2 dataset)


title: SD_G14.5_Acss2WT_rep1_51 (ACSS2 dataset)


title: SD_G14.5_Acss2WT_rep1_48 (ACSS2 dataset)


title: SD_G14.5_Acss2WT_rep1_49 (ACSS2 dataset)


title: SD_G14.5_Acss2WT_rep1_46 (ACSS2 dataset)


title: SD_G14.5_Acss2WT_rep1_43 (ACSS2 dataset)


title: SD_G14.5_Acss2WT_rep1_40 (ACSS2 dataset)


title: SD_G14.5_Acss2WT_rep1_44 (ACSS2 dataset)


title: SD_G14.5_Acss2WT_rep1_41 (ACSS2 dataset)


title: SD_G14.5_Acss2WT_rep1_42 (ACSS2 dataset)


title: SD_G14.5_Acss2WT_rep1_4 (ACSS2 dataset)


title: SD_G14.5_Acss2WT_rep1_38 (ACSS2 dataset)


title: SD_G14.5_Acss2WT_rep1_39 (ACSS2 dataset)


title: SD_G14.5_Acss2WT_rep1_34 (ACSS2 dataset)


title: SD_G14.5_Acss2WT_rep1_37 (ACSS2 dataset)


title: SD_G14.5_Acss2WT_rep1_33 (ACSS2 dataset)


title: SD_G14.5_Acss2WT_rep1_35 (ACSS2 dataset)


title: SD_G14.5_Acss2WT_rep1_57 (ACSS2 dataset)


title: SD_G14.5_Acss2WT_rep1_32 (ACSS2 dataset)


title: SD_G14.5_Acss2WT_rep1_58 (ACSS2 dataset)


title: SD_G14.5_Acss2WT_rep1_31 (ACSS2 dataset)


title: SD_G14.5_Acss2WT_rep1_29 (ACSS2 dataset)


title: SD_G14.5_Acss2WT_rep1_3 (ACSS2 dataset)


title: SD_G14.5_Acss2WT_rep1_27 (ACSS2 dataset)


title: SD_G14.5_Acss2WT_rep1_50 (ACSS2 dataset)


title: SD_G14.5_Acss2WT_rep1_28 (ACSS2 dataset)


title: SD_G14.5_Acss2WT_rep1_5 (ACSS2 dataset)


title: SD_G14.5_Acss2WT_rep1_26 (ACSS2 dataset)


title: SD_G14.5_Acss2WT_rep1_45 (ACSS2 dataset)


title: SD_G14.5_Acss2WT_rep1_47 (ACSS2 dataset)


title: SD_G14.5_Acss2WT_rep1_25 (ACSS2 dataset)


title: SD_G14.5_Acss2WT_rep1_23 (ACSS2 dataset)


title: SD_G14.5_Acss2WT_rep1_21 (ACSS2 dataset)


title: SD_G14.5_Acss2WT_rep1_20 (ACSS2 dataset)


title: SD_G14.5_Acss2WT_rep1_36 (ACSS2 dataset)


title: SD_G14.5_Acss2WT_rep1_2 (ACSS2 dataset)


title: SD_G14.5_Acss2WT_rep1_19 (ACSS2 dataset)


title: SD_G14.5_Acss2WT_rep1_18 (ACSS2 dataset)


title: SD_G14.5_Acss2WT_rep1_16 (ACSS2 dataset)


title: SD_G14.5_Acss2WT_rep1_17 (ACSS2 dataset)


title: SD_G14.5_Acss2WT_rep1_15 (ACSS2 dataset)


title: SD_G14.5_Acss2WT_rep1_14 (ACSS2 dataset)


title: SD_G14.5_Acss2WT_rep1_30 (ACSS2 dataset)


title: SD_G14.5_Acss2WT_rep1_12 (ACSS2 dataset)


title: SD_G14.5_Acss2WT_rep1_10 (ACSS2 dataset)


title: SD_G14.5_Acss2WT_rep1_1 (ACSS2 dataset)


title: P7NL_rep2_9 (ACSS2 dataset)

description:
pancreatic Beta cell, P7NL, biol rep2, scRNAseq
scRNA-seq
Smart-seq3xpress


title: SD_G14.5_Acss2WT_rep1_11 (ACSS2 dataset)


title: P7NL_rep2_8 (ACSS2 dataset)


title: P7NL_rep2_7 (ACSS2 dataset)


title: P7NL_rep2_63 (ACSS2 dataset)


title: P7NL_rep2_64 (ACSS2 dataset)


title: SD_G14.5_Acss2WT_rep1_13 (ACSS2 dataset)


title: P7NL_rep2_61 (ACSS2 dataset)


title: SD_G14.5_Acss2WT_rep1_22 (ACSS2 dataset)


title: P7NL_rep2_59 (ACSS2 dataset)


title: P7NL_rep2_58 (ACSS2 dataset)


title: P7NL_rep2_57 (ACSS2 dataset)


title: P7NL_rep2_60 (ACSS2 dataset)


title: P7NL_rep2_6 (ACSS2 dataset)


title: SD_G14.5_Acss2WT_rep1_24 (ACSS2 dataset)


title: P7NL_rep2_54 (ACSS2 dataset)


title: P7NL_rep2_55 (ACSS2 dataset)


title: P7NL_rep2_53 (ACSS2 dataset)


title: P7NL_rep2_56 (ACSS2 dataset)


title: P7NL_rep2_51 (ACSS2 dataset)


title: P7NL_rep2_52 (ACSS2 dataset)


title: P7NL_rep2_50 (ACSS2 dataset)


title: P7NL_rep2_5 (ACSS2 dataset)


title: P7NL_rep2_47 (ACSS2 dataset)


title: P7NL_rep2_46 (ACSS2 dataset)


title: P7NL_rep2_49 (ACSS2 dataset)


title: P7NL_rep2_45 (ACSS2 dataset)


title: P7NL_rep2_44 (ACSS2 dataset)


title: P7NL_rep2_42 (ACSS2 dataset)


title: P7NL_rep2_62 (ACSS2 dataset)


title: P7NL_rep2_4 (ACSS2 dataset)


title: P7NL_rep2_43 (ACSS2 dataset)


title: P7NL_rep2_40 (ACSS2 dataset)


title: P7NL_rep2_39 (ACSS2 dataset)


title: P7NL_rep2_41 (ACSS2 dataset)


title: P7NL_rep2_38 (ACSS2 dataset)


title: P7NL_rep2_35 (ACSS2 dataset)


title: P7NL_rep2_34 (ACSS2 dataset)


title: P7NL_rep2_36 (ACSS2 dataset)


title: P7NL_rep2_32 (ACSS2 dataset)


title: P7NL_rep2_31 (ACSS2 dataset)


title: P7NL_rep2_37 (ACSS2 dataset)


title: P7NL_rep2_30 (ACSS2 dataset)


title: P7NL_rep2_33 (ACSS2 dataset)


title: P7NL_rep2_3 (ACSS2 dataset)


title: P7NL_rep2_28 (ACSS2 dataset)


title: P7NL_rep2_48 (ACSS2 dataset)


title: P7NL_rep2_26 (ACSS2 dataset)


title: P7NL_rep2_25 (ACSS2 dataset)


title: P7NL_rep2_23 (ACSS2 dataset)


title: P7NL_rep2_24 (ACSS2 dataset)


title: P7NL_rep2_22 (ACSS2 dataset)


title: P7NL_rep2_21 (ACSS2 dataset)


title: P7NL_rep2_2 (ACSS2 dataset)


title: P7NL_rep2_19 (ACSS2 dataset)


title: P7NL_rep2_18 (ACSS2 dataset)


title: P7NL_rep2_17 (ACSS2 dataset)


title: P7NL_rep2_11 (ACSS2 dataset)


title: P7NL_rep2_16 (ACSS2 dataset)


title: P7NL_rep2_13 (ACSS2 dataset)


title: P7NL_rep2_12 (ACSS2 dataset)


title: P7NL_rep2_10 (ACSS2 dataset)


title: P7NL_rep1_97 (ACSS2 dataset)

description:
pancreatic Beta cell, P7NL, biol rep1, scRNAseq
scRNA-seq
Smart-seq3xpress


title: P7NL_rep2_29 (ACSS2 dataset)


title: P7NL_rep1_95 (ACSS2 dataset)


title: P7NL_rep2_1 (ACSS2 dataset)


title: P7NL_rep1_98 (ACSS2 dataset)


title: P7NL_rep2_27 (ACSS2 dataset)


title: P7NL_rep1_96 (ACSS2 dataset)


title: P7NL_rep1_94 (ACSS2 dataset)


title: P7NL_rep1_99 (ACSS2 dataset)


title: P7NL_rep1_90 (ACSS2 dataset)


title: P7NL_rep1_9 (ACSS2 dataset)


title: P7NL_rep1_89 (ACSS2 dataset)


title: P7NL_rep1_93 (ACSS2 dataset)


title: P7NL_rep1_91 (ACSS2 dataset)


title: P7NL_rep1_92 (ACSS2 dataset)


title: P7NL_rep2_20 (ACSS2 dataset)


title: P7NL_rep1_87 (ACSS2 dataset)


title: P7NL_rep2_14 (ACSS2 dataset)


title: P7NL_rep2_15 (ACSS2 dataset)


title: P7NL_rep1_83 (ACSS2 dataset)


title: P7NL_rep1_84 (ACSS2 dataset)


title: P7NL_rep1_82 (ACSS2 dataset)


title: P7NL_rep1_81 (ACSS2 dataset)


title: P7NL_rep1_80 (ACSS2 dataset)


title: P7NL_rep1_8 (ACSS2 dataset)


title: P7NL_rep1_79 (ACSS2 dataset)


title: P7NL_rep1_78 (ACSS2 dataset)


title: P7NL_rep1_75 (ACSS2 dataset)


title: P7NL_rep1_77 (ACSS2 dataset)


title: P7NL_rep1_72 (ACSS2 dataset)


title: P7NL_rep1_74 (ACSS2 dataset)


title: P7NL_rep1_70 (ACSS2 dataset)


title: P7NL_rep1_88 (ACSS2 dataset)


title: P7NL_rep1_76 (ACSS2 dataset)


title: P7NL_rep1_73 (ACSS2 dataset)


title: P7NL_rep1_7 (ACSS2 dataset)


title: P7NL_rep1_71 (ACSS2 dataset)


title: P7NL_rep1_86 (ACSS2 dataset)


title: P7NL_rep1_66 (ACSS2 dataset)


title: P7NL_rep1_63 (ACSS2 dataset)


title: P7NL_rep1_65 (ACSS2 dataset)


title: P7NL_rep1_64 (ACSS2 dataset)


title: P7NL_rep1_62 (ACSS2 dataset)


title: P7NL_rep1_68 (ACSS2 dataset)


title: P7NL_rep1_67 (ACSS2 dataset)


title: P7NL_rep1_69 (ACSS2 dataset)


title: P7NL_rep1_6 (ACSS2 dataset)


title: P7NL_rep1_60 (ACSS2 dataset)


title: P7NL_rep1_59 (ACSS2 dataset)


title: P7NL_rep1_85 (ACSS2 dataset)


title: P7NL_rep1_61 (ACSS2 dataset)


title: P7NL_rep1_58 (ACSS2 dataset)


title: P7NL_rep1_57 (ACSS2 dataset)


title: P7NL_rep1_56 (ACSS2 dataset)


title: P7NL_rep1_54 (ACSS2 dataset)


title: P7NL_rep1_53 (ACSS2 dataset)


title: P7NL_rep1_5 (ACSS2 dataset)


title: P7NL_rep1_50 (ACSS2 dataset)


title: P7NL_rep1_49 (ACSS2 dataset)


title: P7NL_rep1_48 (ACSS2 dataset)


title: P7NL_rep1_45 (ACSS2 dataset)


title: P7NL_rep1_47 (ACSS2 dataset)


title: P7NL_rep1_51 (ACSS2 dataset)


title: P7NL_rep1_38 (ACSS2 dataset)


title: P7NL_rep1_42 (ACSS2 dataset)


title: P7NL_rep1_43 (ACSS2 dataset)


title: P7NL_rep1_41 (ACSS2 dataset)


title: P7NL_rep1_39 (ACSS2 dataset)


title: P7NL_rep1_52 (ACSS2 dataset)


title: P7NL_rep1_40 (ACSS2 dataset)


title: P7NL_rep1_44 (ACSS2 dataset)


title: P7NL_rep1_36 (ACSS2 dataset)


title: P7NL_rep1_4 (ACSS2 dataset)


title: P7NL_rep1_46 (ACSS2 dataset)


title: P7NL_rep1_55 (ACSS2 dataset)


title: P7NL_rep1_33 (ACSS2 dataset)


title: P7NL_rep1_31 (ACSS2 dataset)


title: P7NL_rep1_34 (ACSS2 dataset)


title: P7NL_rep1_32 (ACSS2 dataset)


title: P7NL_rep1_30 (ACSS2 dataset)


title: P7NL_rep1_3 (ACSS2 dataset)


title: P7NL_rep1_35 (ACSS2 dataset)


title: P7NL_rep1_28 (ACSS2 dataset)


title: P7NL_rep1_29 (ACSS2 dataset)


title: P7NL_rep1_27 (ACSS2 dataset)


title: P7NL_rep1_24 (ACSS2 dataset)


title: P7NL_rep1_26 (ACSS2 dataset)


title: P7NL_rep1_37 (ACSS2 dataset)


title: P7NL_rep1_25 (ACSS2 dataset)


title: P7NL_rep1_22 (ACSS2 dataset)


title: P7NL_rep1_23 (ACSS2 dataset)


title: P7NL_rep1_20 (ACSS2 dataset)


title: P7NL_rep1_21 (ACSS2 dataset)


title: P7NL_rep1_18 (ACSS2 dataset)


title: P7NL_rep1_17 (ACSS2 dataset)


title: P7NL_rep1_16 (ACSS2 dataset)


title: P7NL_rep1_14 (ACSS2 dataset)


title: P7NL_rep1_13 (ACSS2 dataset)


title: P7NL_rep1_12 (ACSS2 dataset)


title: P7NL_rep1_106 (ACSS2 dataset)


title: P7NL_rep1_108 (ACSS2 dataset)


title: P7NL_rep1_105 (ACSS2 dataset)


title: P7NL_rep1_103 (ACSS2 dataset)


title: P7NL_rep1_109 (ACSS2 dataset)


title: P7NL_rep1_110 (ACSS2 dataset)


title: P7NL_rep1_19 (ACSS2 dataset)


title: P7NL_rep1_15 (ACSS2 dataset)


title: P7NL_rep1_102 (ACSS2 dataset)


title: P7NL_rep1_107 (ACSS2 dataset)


title: P7NL_rep1_11 (ACSS2 dataset)


title: P7NL_rep1_100 (ACSS2 dataset)


title: P7NL_rep1_101 (ACSS2 dataset)


title: P7NL_rep1_2 (ACSS2 dataset)


title: P7L_rep2_99 (ACSS2 dataset)

description:
pancreatic Beta cell, P7L, biol rep2, scRNAseq
scRNA-seq
Smart-seq3xpress


title: P7L_rep2_98 (ACSS2 dataset)


title: P7L_rep2_96 (ACSS2 dataset)


title: P7L_rep2_95 (ACSS2 dataset)


title: P7L_rep2_94 (ACSS2 dataset)


title: P7L_rep2_97 (ACSS2 dataset)


title: P7NL_rep1_111 (ACSS2 dataset)


title: P7L_rep2_93 (ACSS2 dataset)


title: P7NL_rep1_104 (ACSS2 dataset)


title: P7L_rep2_9 (ACSS2 dataset)


title: P7L_rep2_92 (ACSS2 dataset)


title: P7L_rep2_91 (ACSS2 dataset)


title: P7L_rep2_89 (ACSS2 dataset)


title: P7L_rep2_87 (ACSS2 dataset)


title: P7L_rep2_88 (ACSS2 dataset)


title: P7L_rep2_86 (ACSS2 dataset)


title: P7L_rep2_84 (ACSS2 dataset)


title: P7L_rep2_90 (ACSS2 dataset)


title: P7L_rep2_81 (ACSS2 dataset)


title: P7L_rep2_85 (ACSS2 dataset)


title: P7L_rep2_8 (ACSS2 dataset)


title: P7L_rep2_80 (ACSS2 dataset)


title: P7L_rep2_82 (ACSS2 dataset)


title: P7L_rep2_78 (ACSS2 dataset)


title: P7L_rep2_79 (ACSS2 dataset)


title: P7L_rep2_77 (ACSS2 dataset)


title: P7NL_rep1_1 (ACSS2 dataset)


title: P7NL_rep1_10 (ACSS2 dataset)


title: P7L_rep2_76 (ACSS2 dataset)


title: P7L_rep2_74 (ACSS2 dataset)


title: P7L_rep2_75 (ACSS2 dataset)


title: P7L_rep2_73 (ACSS2 dataset)


title: P7L_rep2_72 (ACSS2 dataset)


title: P7L_rep2_71 (ACSS2 dataset)


title: P7L_rep2_70 (ACSS2 dataset)


title: P7L_rep2_7 (ACSS2 dataset)


title: P7L_rep2_69 (ACSS2 dataset)


title: P7L_rep2_68 (ACSS2 dataset)


title: P7L_rep2_67 (ACSS2 dataset)


title: P7L_rep2_66 (ACSS2 dataset)


title: P7L_rep2_83 (ACSS2 dataset)


title: P7L_rep2_61 (ACSS2 dataset)


title: P7L_rep2_60 (ACSS2 dataset)


title: P7L_rep2_57 (ACSS2 dataset)


title: P7L_rep2_6 (ACSS2 dataset)


title: P7L_rep2_58 (ACSS2 dataset)


title: P7L_rep2_62 (ACSS2 dataset)


title: P7L_rep2_59 (ACSS2 dataset)


title: P7L_rep2_65 (ACSS2 dataset)


title: P7L_rep2_63 (ACSS2 dataset)


title: P7L_rep2_55 (ACSS2 dataset)


title: P7L_rep2_52 (ACSS2 dataset)


title: P7L_rep2_54 (ACSS2 dataset)


title: P7L_rep2_51 (ACSS2 dataset)


title: P7L_rep2_50 (ACSS2 dataset)


title: P7L_rep2_5 (ACSS2 dataset)


title: P7L_rep2_49 (ACSS2 dataset)


title: P7L_rep2_46 (ACSS2 dataset)


title: P7L_rep2_45 (ACSS2 dataset)


title: P7L_rep2_43 (ACSS2 dataset)


title: P7L_rep2_64 (ACSS2 dataset)


title: P7L_rep2_42 (ACSS2 dataset)


title: P7L_rep2_44 (ACSS2 dataset)


title: P7L_rep2_4 (ACSS2 dataset)


title: P7L_rep2_48 (ACSS2 dataset)


title: P7L_rep2_39 (ACSS2 dataset)


title: P7L_rep2_53 (ACSS2 dataset)


title: P7L_rep2_37 (ACSS2 dataset)


title: P7L_rep2_38 (ACSS2 dataset)


title: P7L_rep2_47 (ACSS2 dataset)


title: P7L_rep2_36 (ACSS2 dataset)


title: P7L_rep2_34 (ACSS2 dataset)


title: P7L_rep2_56 (ACSS2 dataset)


title: P7L_rep2_35 (ACSS2 dataset)


title: P7L_rep2_33 (ACSS2 dataset)


title: P7L_rep2_32 (ACSS2 dataset)


title: P7L_rep2_30 (ACSS2 dataset)


title: P7L_rep2_40 (ACSS2 dataset)


title: P7L_rep2_3 (ACSS2 dataset)


title: P7L_rep2_41 (ACSS2 dataset)


title: P7L_rep2_31 (ACSS2 dataset)


title: P7L_rep2_26 (ACSS2 dataset)


title: P7L_rep2_29 (ACSS2 dataset)


title: P7L_rep2_27 (ACSS2 dataset)


title: P7L_rep2_28 (ACSS2 dataset)


title: P7L_rep2_25 (ACSS2 dataset)


title: P7L_rep2_24 (ACSS2 dataset)


title: P7L_rep2_23 (ACSS2 dataset)


title: P7L_rep2_21 (ACSS2 dataset)


title: P7L_rep2_22 (ACSS2 dataset)


title: P7L_rep2_20 (ACSS2 dataset)


title: P7L_rep2_2 (ACSS2 dataset)


title: P7L_rep2_19 (ACSS2 dataset)


title: P7L_rep2_18 (ACSS2 dataset)


title: P7L_rep2_17 (ACSS2 dataset)


title: P7L_rep2_15 (ACSS2 dataset)


title: P7L_rep2_16 (ACSS2 dataset)


title: P7L_rep2_131 (ACSS2 dataset)


title: P7L_rep2_130 (ACSS2 dataset)


title: P7L_rep2_127 (ACSS2 dataset)


title: P7L_rep2_128 (ACSS2 dataset)


title: P7L_rep2_126 (ACSS2 dataset)


title: P7L_rep2_125 (ACSS2 dataset)


title: P7L_rep2_124 (ACSS2 dataset)


title: P7L_rep2_123 (ACSS2 dataset)


title: P7L_rep2_121 (ACSS2 dataset)


title: P7L_rep2_122 (ACSS2 dataset)


title: P7L_rep2_120 (ACSS2 dataset)


title: P7L_rep2_118 (ACSS2 dataset)


title: P7L_rep2_12 (ACSS2 dataset)


title: P7L_rep2_116 (ACSS2 dataset)


title: P7L_rep2_115 (ACSS2 dataset)


title: P7L_rep2_113 (ACSS2 dataset)


title: P7L_rep2_112 (ACSS2 dataset)


title: P7L_rep2_111 (ACSS2 dataset)


title: P7L_rep2_11 (ACSS2 dataset)


title: P7L_rep2_110 (ACSS2 dataset)


title: P7L_rep2_13 (ACSS2 dataset)


title: P7L_rep2_14 (ACSS2 dataset)


title: P7L_rep2_109 (ACSS2 dataset)


title: P7L_rep2_108 (ACSS2 dataset)


title: P7L_rep2_107 (ACSS2 dataset)


title: P7L_rep2_129 (ACSS2 dataset)


title: P7L_rep2_105 (ACSS2 dataset)


title: P7L_rep2_104 (ACSS2 dataset)


title: P7L_rep2_102 (ACSS2 dataset)


title: P7L_rep2_100 (ACSS2 dataset)


title: P7L_rep2_103 (ACSS2 dataset)


title: P7L_rep2_101 (ACSS2 dataset)


title: P7L_rep2_119 (ACSS2 dataset)


title: P7L_rep1_99 (ACSS2 dataset)

description:
pancreatic Beta cell, P7L, biol rep1, scRNAseq
scRNA-seq
Smart-seq3xpress


title: P7L_rep2_10 (ACSS2 dataset)


title: P7L_rep1_96 (ACSS2 dataset)


title: P7L_rep1_95 (ACSS2 dataset)


title: P7L_rep2_106 (ACSS2 dataset)


title: P7L_rep2_114 (ACSS2 dataset)


title: P7L_rep1_94 (ACSS2 dataset)


title: P7L_rep1_93 (ACSS2 dataset)


title: P7L_rep1_92 (ACSS2 dataset)


title: P7L_rep1_91 (ACSS2 dataset)


title: P7L_rep1_88 (ACSS2 dataset)


title: P7L_rep1_89 (ACSS2 dataset)


title: P7L_rep1_85 (ACSS2 dataset)


title: P7L_rep1_83 (ACSS2 dataset)


title: P7L_rep1_84 (ACSS2 dataset)