title: shKDM2B-2

city: Istanbul

first: Tugba

last: Bagci-Onder

state: Sariyer

address: Koc University School of Medicine

department: School of Medicine

country: Turkey

institute: Koc University

data_processing:
RNA sequence data was generated from the sequencer and converted to FASTQ files using the Illumina CASAVA 1.8.2 pipeline at the Weill Cornell Medical College (WCMC) Epigenomics Core.
The reads that passed the quality control were aligned to human genome assembly hg19 using TopHat2, which uses ultra-high-throughput short read aligner Bowtie as its core alignment engine and then analyzes the results to identify splice junctions between exons.
The reads were annotated and counted for each transcript using Ensembl annotations available at the UCSC Genome Browser with R package GenomicFeatures. The versions of the software used were TopHat2 v2.0.11, Bowtie v2-2.2.1 and Samtools v0.1.19.0.  Around 18 million reads were acquired from sequencing of each sample that yielded in around 800 megabases. Around 83% of those reads passed filter quality check. Around 93% of those sequenced bases were equal or above Q score of 30.
Differentially expressed genes between shKDM2B and shControl were detected using DESeq, which controls for Type I Errors (false-positives) by modeling the count data with extended Negative Binomial distributions, and thereby allows for general, data-driven relationships between variance and mean, and provides an effective algorithm for fitting the model to data.
Note that each paired comparison, genes with mean read count in both sets of samples with fewer than 10 were filtered out; for the remaining genes, if the read count was 0 in either set (but not both of them), the read count was set to be 1 before input to R DESeq package for differential expression calculation. Significant differentially expressed genes for each pairwise comparison were selected with multiple-testing correction to maintain False Discovery Rate (FDR) at 5%. Genes with expression values that changed by a factor of 1.5 fold were deemed significant.
Genome_build: hg19
Supplementary_files_format_and_content: sh109_final_unique_DESeq_InfFixed_DiffExp.xlsx Spreadsheet listing differentially expressed genes that were detected using DESeq (with their raw and normalized read counts, base means, fold changes, log2 fold changes, p-values and adjusted p-values) between shKDM2B and shControl samples.

source_name: U87MG GBM cell line

growth_protocol: Cells were cultured in DMEM medium (Gibco, USA) supplemented with 10% FBS (Gibco, USA) and 1% Penicillin-Streptomycin (Gibco, USA) at 37 celcius in a humidified chamber with 5% CO2.

extract_protocol:
Total RNAs of shControl and shKDM2B cells were isolated using NucleoSpin RNA isolation kit (Macherey-Nagel, Germany). Quality control was performed by Bioanalyzer.
Construction and sequencing of RNA-seq library for each sample was carried out using TruSeq RNA-seq (polyA) Library Prep v2 based on protocols on Illumina HiSeq 2500 to generate 50 bp single-end reads. ATCACG, CGATGT, ACAGTG and GCCAAT barcodes were used in order for shControl-1, shControl-2, shKDM2B-1 and shKDM2B-2 polyA RNA samples.

treatment_protocol: p5 U87MG cells were seeded in 12-well plates on day 0.  Cells were transduced with retroviral particles carrying shRNA constructs on day 1. Media were replaced with fresh media on day 2. Puromycin selection was applied at a final concentration of 1 µg/mL starting from day 3. Cells were transfered into 10-cm plates at day 6. Pellets for total RNA isolation were collected on day 9.

value: glioblastoma; astrocytoma; classified as grade IV

tag: passage #

tag: shRNA transduced

value: shRNA targeting KDM2B


title: BRD4-AB1-Adult-Rod_I_N-P0 replicate 1

status: Public on May 03 2017

type: SRA

city: Memphis

first: Beisi

last: Xu

state: Tennessee

address: 262 Danny Thomas Pl

department: Center for Applied Bioinformatics

country: USA

institute: St Jude Children's Research Hosipital

library_source: genomic

data_processing:
Basecalls performed using CASAVA
BWA (version 0.5.9-r26-dev, default parameter) to align the ChIP-Seq reads to mouse genome mm9(MGSCv37 from Sanger), Picard(version 1.65(1160)) then have been used for marking duplicated reads. Then only non-duplicated reads with have been kept by samtools (parameter “-q 1 -F 1024” version 0.1.18 (r982:295)). We followed the ENCODE criterion to quality control (QC) the data that non-duplicated version of SPP (version 1.11) have been used to draw cross-correlation and calculated relative strand correlation value (RSC) under support of R (version 2.14.0) with packages caTools(version 1.17) and bitops(version 1.0-6) and estimated the fragment size.
We required > 10M unique mapped reads for point-source factor (H3K4me2/3, H3K9/14Ac, H3K27Ac, CTCF, RNAPolII, BRD4) and RSC > 1. We required 20M unique mapped reads for broad markers (H3K9me3, H3K27me3, H3K36me3). We required 10M unique mapped reads for INPUTs and RSC < 1. We noticed H3K4me1 is point-source factor in some stages while broad in other stages so we QC H3K4me1 as broad markers. Then upon manually inspection, the cross-correlation plot generated by SPP, the best fragment size estimated (the smallest fragment size estimated by SPP in all our cases) were used to extend each reads and generate bigwig file to view on IGV (version 2.3.40).
All profiles were manually inspected for clear peaks and good signal to noise separation. For mouse data, all data broad markers with RSC < 0.8 have biological replicates except several samples with one of antibody for H3K9me3(due to availability of outsourcing), we think the quality of those H3K9me3 are good since they show clear peaks and RSC are bigger than most of the H3K9me3 data available in ENCODE or Epigenomics Roadmap.
To estimate the consistence between biological replicates, for point-source factors, MACS2 (version 2.0.9 20111102, option “nomodel” with “extsize” defined as fragment size estimated above) have been used to call peaks with FDR corrected p-value cutoff 0.05(strong peak set) and 0.5(weak peak set) separately, peaks within 100bp have been merged by bedtools (version 2.17.0). We required > 80% of strong peak set from either one replicate overlapping the weak peak set from the other replicate (median percentage 96.8%). For broad peaks, SICER (version 1.1 redundancy threshold 1, window size 200bp, effective genome fraction 0.86, gap size 600bp, FDR 0.00001 with fragment size defined above) has been used for domain calling and we required > 70% of domains called overlapping the domains called from the other replicate(median percentage 89.9%). After confirmed the consistency between replicates, we pool extended reads and generate the final bigwig track for visualization.
Genome_build: mm9 (MGSCv37)
Supplementary_files_format_and_content: bigwig

molecule: genomic DNA

organism: Mus musculus

source_name: retina

extract_protocol:
ChIP with iDeal ChIP-seq kit (Diagenode # C01010051), MinElute PCR-purification kit (QIAGEN #28006), quantified using the Quant-iT PicoGreen ds DNA assay (Life Technologies #Q33120)
Libraries were prepared from 5-10 ng DNA using the NEBNext ChIP-Seq Library Prep Reagent Set for Illumina with NEBNext High-Fidelity 2x PCR Master Mix according to the manufacturer’s instructions (New England Biolabs, Ipswich, MA) with the following modifications: A 1:1 Ampure cleanup was added after adaptor ligation a total of 2 times.

tag: strain

tag: age

value: postnatal day 0

tag: chip antibody


title: BRD4-AB1-Adult-Rod_E_N-E17.5 replicate 1

value: embryonic day 17.5


title: shControl-2

library_source: transcriptomic

molecule: total RNA

organism: Homo sapiens

tag: cell type

value: shRNA targeting the firefly luciferase


title: SCC4KO-C Hi-C

city: Utrecht

first: Robin H.

last: van der Weide

state: Utrecht

address: Uppsalalaan 8

country: Netherlands

institute: Hubrecht Institute

description:
TruSeq libraries prepared from 3C template
SCC4KO.validPairs

data_processing:
Library strategy: HiC-Seq
Raw sequence data was mapped and processed using HiC-Pro v2.7.7 (Servant et al., 2015).
Genome_build: hg19
Supplementary_files_format_and_content: Hi-C summary files contain the genomic position and strand of the two pairs of a Hi-C ligation

source_name: Hap1 SCC4KO

growth_protocol: HAP1 cells (Carette et al., 2011) were cultured in IMDM (Invitrogen) supplemented with 10% FCS (Clontech), 1% Penicillin-Streptomycin (Invitrogen) and 1% Ultraglutamin (Lonza).

extract_protocol:
Hi-C was performed essentially as previously described (Rao et al., 2014). Briefly, for each template roughly 10 million cells were crosslinked using 2% formaldehyde. In nucleus restriction was performed using MboI. Restriction overhangs were filled in with biotinylated nucleotides followed by blunt-end ligation. A streptavidin pull-down was performed to enrich for ligated sequences.
Pulled-down DNA was end-repaired and an A-overhang was added. Sequencing adapters were ligated to the DNA samples to create sequencing libraries.

treatment_protocol: CRISPRs targeting WAPL (5’-CACCGCGTTCCATAGTATCCTGTA-3’) and SCC4 (5’-CACCGTACGGGCCTCGATGCGCTG-3’) were cloned into px330 (Addgene plasmid #42230). ∆WAPL and ∆SCC4 HAP1 clones were generated by insertion of a Blasticidine or Puromycin cassette respectively, as previously described (Blomen et al., 2015). ∆WAPL/∆SCC4 cells were generated by knocking out SCC4 in ∆WAPL cells.

tag: cell line

tag: genotype/variation


title: HOK16B.219_VLV1d#1 (mRNA)

city: los angeles

first: Danyang

last: Gong

state: CA

address: 650 Charles Young Dr. So.

department: pharmacology

institute: UCLA

description:
A7
KSHV.xlsx

data_processing:
TopHat under default parameter
Genome_build: hg38, KSHV JSC-1 clone BAC16
Supplementary_files_format_and_content: counts

organism:
Homo sapiens
Human gammaherpesvirus 8

source_name: HOK16B.219 cells

growth_protocol: HOK16B cells latently infected with KSHV.219

extract_protocol:
Trizol for total RNA, and then oligodT beads for polyA RNA
method based on ScriptSeq mRNA-Seq library preparation kit (Epicentre)

treatment_protocol: treat with or without KSHV VLV for one or two days

value: Oral epithelial cell

tag: virus

value: KSHV


title: Scramble S4

city: Madrid

first: Manuel

middle: J

last: Gomez

state: Madrid

address: Melchor Fernández Almagro, 3

country: Spain

institute: CNIC

description: S1 bis Scramble

data_processing:
Fastq files containing reads for each library were extracted and demultiplexed using Casava v1.8.2 pipeline.
Sequencing adaptor contaminations were removed from reads using cutadapt.
Preprocessed reads were mapped and quantified on the transcriptome using RSEM v1.2.3.
ComBat was used to correct for effects associated to different library batches.
Genome_build: Ensembl genebuild 76 (human assembly GRCh38).
Supplementary_files_format_and_content: matrix_table.xls file contains ENSEMBL gene Ids and TMM-Normalized counts per million for each sample.

molecule: polyA RNA

source_name: Ramos cell line

growth_protocol: Experiments were conducted with transudced Ramos Burkitt lymphoma human B cell line.

extract_protocol:
Total RNA was extracted from 12 samples (6 pairs of miR-28 and scrambled samples) with RNeasy columns (Qiagen)
cDNA was prepared using the standard Ilumina TrueSeq RNAseq library preparation kit.
Libraries were prepared in two batches.

treatment_protocol: Ramos cells transduced with miR-28 or scrambled pTRIPZ vectors were selected with puromycin (0.4ug/ml) and induced for 2 days with Dox (0.5ug/ml); RFP+ cells were isolated with a FACS Aria cell sorter

tag: transduction

value: Scramble XENO 1

tag: treatment

value: Doxyciclin

tag: library batch

tag: sample pair


title: shControl-1


title: BRD4-AB1-Adult-Rod_E_N-E14.5 replicate 1

value: embryonic day 14.5


title: WT-46dpa_mRNA_Seq

status: Public on May 02 2017

city: West Lafayette

first: Jian-Kang

last: Zhu

state: IN

address: 625 Agriculture Mall Dr.

department: Department of Horticulture and Landscape Architecture

institute: Purdue University

data_processing:
MethylC-Seq:Reads were mapped to SL2.50 using BRAT-BW with parameters -m 2 -i 0 -a 1000. Copy-duplicates were remove using remove-dupl command of BRAT-BW. acgt-count command of BRAT-BW was used to count mapped Cs and Ts at each cytosine of forward and reverse strands of the reference
mRNA-Seq: RNA-Seq reads were trimmed using the fastx_trimmer command FASTX-Toolkit ( http://hannonlab.cshl.edu/fastx_toolkit/index.html ) with parameter “-f  14 -l 80“ before alignment. Trimmed reads were mapped to SL2.50 by TopHat2, allowing up to two mismatches.
Genome_build: tomato genome build 2.50 (SL2.50)
Supplementary_files_format_and_content: For MethylC-Seq: The wig files give methylation level for all Cs(three contexts) with depth >= 4. Methylation level of each cytosine base was calculated according to number of converted and unconverted C mapped at that position (unconverted_C / ( converted_C+ unconverted_C ) ).
Supplementary_files_format_and_content: For mRNA-Seq: The bedGraph files were generated using genomeCoverageBed from bedtools with parameter  -bga -split

organism: Solanum lycopersicum

growth_protocol: All plant materials used in this study are first generation (T0) of regenerated plants from callus. Tomato cultivar Micro-Tom used in this study were ordered from Ball (Illinois, USA). Tomato plants were grown in a greenhouse located on Purdue University campus. Tomato tissue culture was performed accroding to the established protocol (Sun, 2006). All tissue culture steps were conducted at room temperature with a photoperiod of 16 h light and 8 h dark.

extract_protocol:
Tomato genomic DNA was extracted using a modified cetyltrimethylammonium bromide-based method (Clarke, 2009) or by using the QIAGEN DNeasy Plant Maxi Kit following the prodcut manual. Totol RNA were extracted using Trizol reagent (Ambion, 15596)
Genomic DNA was extracted from the tomato fruit and sent to Genomics Core Facility of Shanghai Center for Plant Stress Biology for bisulfite treatment, library preparation, and sequencing. Bisulfite sequencing libraries were prepared using standard Illumina protocols.
Total RNA were extracted from the tomato fruit using methods described above. Library construction and deep sequencing were performed by the Core Facility of Genomics in Shanghai Plant Stress Biology Center, China.

value: wild type

tag: tissue

value: fruit

tag: day after anthesis

value: 46 dpa


title: sldml2-1-46dpa_mRNA_Seq_rep2


title: Stationary_Phase_RNA-seq

city: Seattle

first: Monica

middle: S

last: Guo

state: WA

address: 750 Republican St

department: Microbiology

institute: University of Washington

data_processing:
Sequenced reads were trimmed for adaptor sequence (CTGTAGGCACCATCAAT).
Trimmed reads were aligned to Caulobacter NC_011916.1 (NA1000) with bowtie1 allowing for 1 mismatch
Bowtie alignments against the Caulobacter genome were converted to wiggle files. The position of each alignment is evenly distributed over the length of the read.
Genome_build: NC_011916.1
Supplementary_files_format_and_content: two wiggle files (for forward and reverse strand), each with two columns: first column containing chromosome positions and second column containing the fraction of reads mapped to the position.

organism: Caulobacter vibrioides

source_name: Caulobacter crescentus CB15N

growth_protocol: Caulobacter crescentus was grown in PYE to OD 0.3 and RNA was harvested ~8hrs later (OD 1.37)

extract_protocol:
2ml of Caulobacter was harvested in the presence of 1ml 95% ethanol/5% phenol and 8ml PYE. The cell pellets were extracted by hot phenol/chloroform method.
Libraries were constructed as detailed previously (Guo et al., 2014). Briefly, ribosomal RNA removed with the MICROBExpress kit (Life Technologies). Samples were lightly fragmented with RNA fragmentation reagents (Ambion), isolating and dephosphorylating 25-50 mers with T4 PNK (New England Biolabs), ligating linker-1 (Integrated DNA Technologies) to fragments with T4 RNA ligase II (Epicentre). After reverse transcription was performed with Superscript III (Invitrogen) and RT_oligo, the RNA was hydrolyzed with NaOH, and the ssDNA cDNA was circularized with CircLigase (Epicentre). Final sequencing libraries were PCR amplified with Phusion polymerase and adapter oligos (o231 and o230).

tag: growth stage

value: stationary phase

tag: genotype

value: wild-type


title: sldml2-1-46dpa_mRNA_Seq_rep1


title: WT-60dpa_BS

description: treated with bisulfite

value: 60 dpa


title: WT-25dpa_mRNA_Seq

value: 25 dpa


title: sldml2-2-60dpa_BS_rep1

description: treated with bisulfite


title: sldml2-2-60dpa_BS_rep2

description: treated with bisulfite


title: sldml2-1-46dpa_BS_rep2

description: treated with bisulfite


title: sldml2-1-46dpa_BS_rep1

description: treated with bisulfite


title: sldml2-1-25dpa_BS

description: treated with bisulfite


title: WT-46dpa_BS

description: treated with bisulfite


title: WT-25dpa_BS

description: treated with bisulfite


title: HOK16B.219_Ctl#2 (mRNA)

description:
A6
KSHV.xlsx


title: shKDM2B-1

value: glioblastoma; astrocytoma; classified as grade IV

tag: passage #


title: 35S-HA-RICE1-D52A_rp2

city: College Station

first: Xiuren

last: Zhang

state: TX

address: Biochemistry/Biophysics Bldg, Suite 103, 2128 TAMU, 300 Olsen Blvd

institute: Texas A&M University

data_processing:
Trim adaptor sequences with fastx_toolkit-0.0.14
sRNAs with lengths between 19- to 28-nt were selected and mapped to the Arabidopsis genomic sequences (TAIR10 version) with bowtie 1.1.2 and bedtools-2.26.0
Sequences from different samples were normalized by the number of total tRNA reads with perfect genomic matches.

organism: Arabidopsis thaliana

source_name: whole plant

growth_protocol: Germinate on MS plate for one week and transfer to the soil for 2 weeks, harvest the samples before bolting

extract_protocol:
RNA extraction with Trizol
Described as previous method in Zhang et al. 2008. Plant J

tag: ecotype

value: Ler

value: 35S-RICE1 D52A

value: whole plant in soil

tag: Stage

value: 3-weeks old


title: 35S-HA-RICE1-D52A_rp1


title: HOK16B.219_Ctl#1 (mRNA)

description:
A5
KSHV.xlsx

value: Oral epithelial cell


title: WT_rp3


title: WT_rp1


title: WT_rp2


title: S_MBD_50ng_1

city: Richmond

first: Edwin

last: van den Oord

address: 1112 East Clay Street

department: Center Biomarker Research and Precision Med

institute: Virginia Commonwealth University

description: 50ng low starting material protocol methyl-CG binding domain sequencing replicate 1

data_processing:
Bisulfite data: BS-Seeker2(Guo, Fiziev, Yan, Cokus, Sun, Zhang, Chen, and Pellegrini 2013) was used to align data and call methylation levels. BS-Seeker2 converts both reads and reference to align reads (build hg19/GRCh37) in a 3-letter base space using Bowtie2(Langmead and Salzberg 2012). We used local (i.e. removal of terminal mismatches from the reads) and gapped alignment (e.g. allowing small indels) to increase mapping rates(Guo et al. 2013). The local alignment algorithm also automatically truncates adapter sequences. The maximum number of mismatches allowed per read was three. Only successfully mapped read-pairs were used to call methylation levels with correction for overlaps between read-pairs. To avoid unreliable estimates, for the bisulfite data we used methylation calls that were based on five or more sequencing reads.      Guo, W., P. Fiziev, W. Yan, S. Cokus, X. Sun, M. Q. Zhang, P. Y. Chen, and M. Pellegrini. 2013. "BS-Seeker2: a versatile aligning pipeline for bisulfite sequencing data." BMC Genomics 14:774.  Langmead, B. and S. L. Salzberg. 2012. "Fast gapped-read alignment with Bowtie 2." Nat Methods 9:357-9.
Enrichment data: Reads were aligned (build hg19/GRCh37) with Bowtie2(Langmead and Salzberg 2012) using a seed-and-extend approach combined with local alignment while allowing for gaps. Specifically, we used a 20 bp seed with zero mismatches. Rather than considering the entire read, local alignment was used to improve sensitivity by finding the maximum similarity score between the reference sequence and a substring of the extension that may be "trimmed" at both ends. Gaps were allowed to account for small indels.   We quality controlled (QC) multi- and duplicate-reads. Reads often map to multiple genomic locations but in most cases a single alignment can be selected because it is clearly better than the others. In the case of multi-reads, multiple alignments are about equally good. When Bowtie2 encounters a set of equally good alignments, it uses a pseudo-random number to select one primary alignment. Duplicate-reads are reads that start at the same nucleotide positions. When sequencing a whole genome, duplicate-reads often arise from template preparation or amplification artifacts. In our context of sequencing an enriched genomic fraction, duplicate-reads are increasingly likely to occur because reads align to a much smaller fraction of the genome. In instances where >3 (duplicate) reads start at the same position, we reset the read count to 1 implicitly assuming that these reads all tagged a single clonal fragment.   A natural way to quantify enrichment is to count the number of fragments covering a cytosine. In contrast to bisulfite sequencing where precision depends on the number of sequenced bases covering each putative methylation site, the number of sequenced fragments determines the precision of enrichment methods. For this reason, single-end libraries are in principle more cost-effective then paired end libraries. However, with single-end libraries the fragment sizes are not observed. Counting the number of reads covering the putative methylation site instead, seriously underestimates coverage as the fragment that generated the read is usually longer than the read. To remedy this, we estimated the fragment size distributions from the empirical sequencing data using isolated cytosines(van den Oord, Bukszar, Rudolf, Nerella, McClay, Xie, and Aberg 2013). To evaluate this approach, we showed that methylation estimates obtained from paired end data (where the fragment size distribution is observed) are almost identical to those obtained from single end data with our estimator (correlation was 0.999). The estimated fragment size distributions is used to calculate the probability that a sequenced fragment will cover the cytosine under consideration. Coverage for each cytosine was then calculated by taking the sum of probabilities for all fragments aligning within proximity of the cytosine. For example, this probability is 1.0 for fragments with reads starting within one read-length of the cytosine, but is ≤1.0 for fragments with reads starting more than one read-length away.  Coverage is also affected by the total number of used reads per sample that is a function of sequencer loading and output, rather than differences in methylation. Therefore, coverage estimates were standardized using the total number of reads that remained after quality control.         Langmead, B. and S. L. Salzberg. 2012. "Fast gapped-read alignment with Bowtie 2." Nat Methods 9:357-9.  van den Oord, E. J., J. Bukszar, G. Rudolf, S. Nerella, J. L. McClay, L. Y. Xie, and K. A. Aberg. 2013. "Estimation of CpG coverage in whole methylome next-generation sequencing studies." BMC Bioinformatics 14:50.
Genome_build: build hg19/GRCh37
Supplementary_files_format_and_content: S_MBD_Xng_1_mCG.csv: Xng low starting material MBD (chromosome,coordinate,enrichement coverage,bisulfite estimated methylation sum)

extract_protocol:
Human brain tissue was homogenized in Buffer RTL (Qiagen, # 79216) with a 1 mL syringe fitted with a 20G needle. Genomic DNA was extracted from the homogenate using the AllPrep DNA/RNA/miRNA Universal Kit (Qiagen, # 80224).
Bisulfite sequencing  DNA fragmentation  Genomic DNA was sonicated to 550 bp using a Covaris S2 ultra-sonicator (1 cycle, 2 cycles per burst, 45 seconds, 10% duty cycle, intensity 2.0). Multiple sonications were performed for each sample (2 μg DNA maximum per 100 μL fragmentation). The fragmented aliquots from each sample were pooled together to meet the input needs of both WGB and TAB, prior to any downstream assays.   Bisulfite and TET1 treatment  For whole genome bisulfite (WGB) sequencing the fragmented DNA was bisulfite treated using reduced conversion times with the EZ DNA Methylation-Lightning™ Kit (Zymo Research) to convert non-methylated cytosines to uracil. For Tet-assisted bisulfite (TAB(44)) sequencing we used the WiseGene kit to treat the fragmented DNA with T4 β-glucosyltransferase (16 hours at 30°C) to protect hmCs from oxidation by installation of a glucose moiety. Treatment with TET1 then oxidized only mCs to 5-carboxylcytosine. Finally, the TET1-oxidized DNA is bisulfite treated using the EZ DNA Methylation-Lightning™ Kit (Zymo Research) to convert non-hydroxymethylated cytosines to uracil. To assess conversion and protection rates, fragmented genomic DNA was spiked with commercial methylated and hydroxymethylated non-mammalian control DNAs (WiseGene). The mC control consisted of SssI treated lambda DNA, which should theoretically contain 100% methylated CpGs and non-methylated non-CpG cytosines. In reality, we observed a 96.3% methylation level for CpGs in the mC control, and likely the result of incomplete methylation during the production of the control. The hmC control consisted of a 1.64 kb amplicon from pUC19, intended to contain 100% hydroxymethylcytosines at all locations. The observed hydroxymethylation level for the hmC control was also reduced at 91.1%, but is not unexpected considering past evidence of contamination of commercial 5-hmCTP with dCTP(45-46). Conversion and protection rates are presented in Supplementary Table 1.  Sequencing  We used the Accel-NGS™ Methyl-Seq DNA Library Kit (Swift Biosciences) to create indexed Illumina libraries directly from the bisulfite and TET1-oxidized/bisulfite converted DNA.  Libraries were pooled with PhiX (15%) to compensate for lowered cytosine signal and 2x150 bp paired-end sequenced on an Illumina NextSeq 500 using v2 chemistry.    Enrichment panel  DNA fragmentation  Genomic DNA was sonicated to 100-150 bp using a Covaris S2 ultra-sonicator (10 cycles, 1 cycle per burst, 60 seconds, 10% duty cycle, intensity 5.0). Multiple sonications were performed for each sample (2 μg DNA maximum per 100 μL fragmentation). The fragmented aliquots from each sample were pooled together prior to any downstream assays.  MBD  We used the MethylMiner™ Kit (Invitrogen) to enrich for mCG via affinity purification with a methyl-CG binding domain protein (MBD2). For each sample, 15 μL of stock Dynabeads ® M-280 Streptavidin (10 μL of beads per 1 μg of DNA input) was coupled to 5.25 μg of MBD-Biotin Protein according to the vendor supplied protocol. Prepared MBD-beads were added to each input sample of 1.5 μg of fragmented DNA, and adjusted to a final volume of 200 μL in 1x Bind/Wash Buffer. The MBD-beads were incubated with DNA on an orbital shaker at 650 rpm for 1 hour at room temperature in a 96-well 1.2 mL square well plate. Following incubation the plate was placed on a magnetic rack and the supernatant containing non-captured, mCG-depleted DNA was retained for MBD-DIP. Beads were then washed three times by addition of 200 μL of 1x Bind/Wash Buffer followed by 3 minute incubations at room temperature on an orbital shaker at 650 rpm. Methylated DNA was eluted from the beads with three treatments with 200 μL low salt elution buffer (12.5% High Salt Elution Buffer + 87.5% Low Salt Elution Buffer [v/v]; 500 mM NaCl final), following the same incubation paradigm as the wash steps. The combined 600 μL mCG-enriched eluate was purified by ethanol precipitation.  After optimization, we have empirically determined that a low salt elution improves the specificity of the assay for loci with moderate numbers of CpG sites, giving better methylome-wide representation(41). Additionally, shearing genomic DNA to as small fragments as the downstream sequencing protocol allows (100-150 bp) further increases both the resolution and sensitivity of the MBD enrichment assay (i.e. small, sparsely methylated fragments require less energy to be captured than larger fragments).   MBD-DIP  The mCG-depleted DNA fraction was retained after MBD enrichment and purified by ethanol precipitation. Methylated DNA immunoprecipitation (MeDIP) was used to enrich for mCH from the mCG-depleted fraction of each sample. We used the MagMeDIP kit (Diagenode, # C02010021) with 1.0 μg of mCG-depleted DNA as input. Briefly, input DNA was heat denatured and incubated with anti-mC antibody and magnetic beads overnight at 4°C with end-over-end rotation. After incubation, beads were washed and mCH-enriched DNA liberated with proteinase K treatment. Reagent volumes and concentrations were prepared according to the vendor supplied protocol. The crude mCH enriched fractions were cleaned by column purification (ChIP DNA Clean & Concentrator, Zymo, # D5201) prior to library generation.  hMe-Seal  Selective chemical labeling and enrichment of hmC (hMe-Seal)(37) was performed using components of the Hydroxymethyl Collector™ kit (Active Motif). We substituted the enzyme in the kit with T4 β-glucosyltransferase from New England Biosciences (# M0357) to improve labeling performance. In our experience, using high-quality and high-activity enzyme is critical for successful hmC enrichment. 1.5 μg of 150bp fragmented gDNA was used as input for each assay. Briefly, T4 β-glucosyltransferase (10 U per sample, 16 hour incubation at 30°C) was used to selectively label hmC residues with 150 μM final UDP-azide-glucose. Each azo-glucosylated hmC was next biotinylated via dibenzocyclooctyl click chemistry by addition of the provided Biotin Conjugate Solution (likely DBCO-S-S-PEG3-Biotin at 150 μM final) with a 2 hour incubation at 37°C. After biotinylation, the labeled DNA was column purified, enriched with paramagnetic streptavidin beads, washed, and eluted following the vendor supplied protocol, with the substitution of end-over-end rotation with agitation on an orbital shaker at 700 rpm in a 96-well 1.2 mL square well plate. In an independent study(38) this chemical capture-based approach compared favorably to hmC enrichment methods using proteins or antibodies.   MeDIP  MeDIP was performed with 1.0 μg fragmented gDNA using the MagMeDIP Kit (Diagenode, # C02010021). Capture protocol, purification, library preparation, and sequencing were carried out identically to that of the MBD-DIP samples.  Sequencing  The MBD and hMe-Seal enriched fractions are used to create indexed sequencing libraries using the TruSeq Nano DNA HT Library Prep Kit (Illumina). For MBD-DIP and MeDIP enriched fractions, the Accel-NGS Methyl-Seq DNA Library Kit (Swift Biosciences) was used to generate indexed libraries directly from single-stranded DNA. Libraries were size-selected using SPRI beads to obtain a mean insert size of 150 bp. Libraries were pooled and 75-cycle single-end sequenced on an Illumina NextSeq 500 using v2 chemistry.

treatment_protocol: DNA from single subject assayed by multiple technolgies in duplicate

value: Postmortem brain tissue

tag: tissue region

value: Brodmann area 10


title: S_MBD_50ng_2

description: 50ng low starting material protocol methyl-CG binding domain sequencing replicate 2


title: S_MBD_30ng_2

description: 30ng low starting material protocol methyl-CG binding domain sequencing replicate 2


title: S_MBD_30ng_1

description: 30ng low starting material protocol methyl-CG binding domain sequencing replicate 1


title: S_MBD_20ng_2

description: 20ng low starting material protocol methyl-CG binding domain sequencing replicate 2


title: S_MBD_20ng_1

description: 20ng low starting material protocol methyl-CG binding domain sequencing replicate 1


title: S_MBD_15ng_2

description: 15ng low starting material protocol methyl-CG binding domain sequencing replicate 2


title: S_MBD_10ng_1

description: 10ng low starting material protocol methyl-CG binding domain sequencing replicate 1


title: S_MBD_5ng_1

description: 5ng low starting material protocol methyl-CG binding domain sequencing replicate 1


title: S_MBD_10ng_2

description: 10ng low starting material protocol methyl-CG binding domain sequencing replicate 2


title: 35S-HA-RICE1-D52A_rp3


title: S_MBD_5ng_2

description: 5ng low starting material protocol methyl-CG binding domain sequencing replicate 2


title: oxidized rep3 nextseq

city: Farmington

first: Gordon

middle: G.

last: Carmichael

state: CT

address: 263 Farmington Avenue

department: Genetics and Genome Sciences

institute: UConn Health

description:
RNA-seq (second strand)
Processed data file: DESeq2_nextseq_output.txt
Processed data file: base_call_relaxed_nextseq.txt
Processed data file: base_call_stringent_nextseq.txt

data_processing:
Raw reads are trimmed using Cutadapt v1.12 to first read-through sequences for both R1 and R2 as many of the inserts can be shorter than 75bp.
A simple custom python script is used to remove PCR duplicates by comparing R2 randomer sequences in combination with actual RNA 3' end sequences.
Cutadapt is used to remove randomer and linker from R2.
Tophat 2.1.1 is used to align to hg19 with GTF of chrUn supplied, -T option is used so that reads are only mapped to chrUn. Samtools 0.1.19 is used to sort alignment files. It is also used to randomly sample alignment files if the total reads of a sample is significantly more than others to generate a smaller alignment file for subsequent analysis.
All alignment files are converted to BED files using Samtools. Read 3' single base count data is generated with a simple in-house python script. The count data files are used for DESeq2 (Bioconductor version 3.4) analysis. The DESeq2 output is then filtered and bases of interest are determined.
Genome_build: hg19 (GRCh37)
Supplementary_files_format_and_content: *_count.txt files (raw read 3' end base counts) are tab-delimited single-base count data calculated from .BED (converted from alignment .BAM files) for each sample. The 3' end base of each fragment that is sequenced is the base of interest, thus ending position counts from .BED files are taken and summed for each position within the 18S and 28S rRNA region within chrUn (position 109078-118417).
Supplementary_files_format_and_content: In this case, only + strands are counted since the 18S and 28S of the chrUn we use are transcribed in sense direction. hg19 base position numbers are converted to numbers corresponding to base positions within each rRNA gene.
Supplementary_files_format_and_content: Each experimental set (i.e. MiSeq or NextSeq) has one DESeq2 output file generated by feeding all count.txt files of control and oxidized replicates to DESeq2 for normalization and statistical calculations.
Supplementary_files_format_and_content: Log2 fold change and adjusted p-values from DESeq2 output (normalized abundance measurements) are used to filter for the final base calls and are saved in the tab-delimited base_call.txt files (normalized abundance measurements filtered by log2 fold change and adjusted p values).

source_name: PA1 cell line

extract_protocol:
Total RNA extraction using PureLink® RNA Mini Kit (ThermoFisher Scientific, 12183025) and PureLink® DNase Set (ThermoFisher Scientific, 12185010) following kit protocols.
Processed RNAs 3' are first ligated to a preadenylated and 3' blocked DNA linker. RT primer (includes a 6-base randomers) is then annealed with the ligation product. Then a 5' RNA linker is ligated. RT is subsequently performed followed by PCR amplification with Illumina compatible primers (adapter+barcodes included) to generate the final sequencing library.

value: PA1 (ATCC, CRL-1572)

tag: passage

tag: sample type

value: oxidized


title: non-oxidation control rep2 nextseq

tag: cell line

value: non-oxidized control


title: non-oxidation control rep1 nextseq


title: oxidized rep1 nextseq


title: oxidized rep2 nextseq


title: 11H144

city: Montreal

first: Magalie

last: Celton

state: Quebec

address: 2950, Chemin de Polytechnique

country: Canada

institute: IRIC

data_processing:
Basecalls performed using CASAVA 1.8.2
Sequenced reads were trimmed for adaptor sequence and mapped to the reference genome using CASAVA 1.8.2
Reads Per Kilobase of exon per Megabase of library size (RPKM) were calculated using CASAVA 1.8.2.
Genome_build: hg19
Supplementary_files_format_and_content: Tab-delimited text file includes RPKM values. Columns are: Chromosome, Start location, Stop location, Gene, RPKM, basecount.

source_name: bone marrow

extract_protocol:
mRNA was isolated from TRIzol extraction protocol
RNA libraries were prepared for sequencing using standard Illumina protocols

value: bone marrow

tag: obtention

value: collected by the Leukemia Cell Bank of Quebec


title: 10H159


title: Sample_AML-4038

description: CD34 MLL-AF9 were injected into multiple NGS immunodeficient mice. Bone marrow was harvested after 24 weeks.

data_processing:
Basecalls performed using CASAVA 1.8.2
Sequenced reads were trimmed for adaptor sequence and mapped to the reference genome using CASAVA 1.8.2
Reads Per Kilobase of exon per Megabase of library size (RPKM) were calculated using CASAVA 1.8.2.
Genome_build: hg19
Supplementary_files_format_and_content: Tab-delimited text file includes RPKM values. Columns are: Chromosome, Start location, Stop location, Gene, RPKM.

growth_protocol: Human CD34+ cord blood cells were positively selected (CD34  cells). Cells were transduced with a retrovirus containing GFP and the human MLL-AF9 fusion gene and were maintained for  in vitro culture for 80-90 days (CD34-MLL-AF9 cells).  Transduced cells were expanded in myeloid promoting culture with 15% FSC +IL3 +SCF for 4 weeks. After ~30 days of expansion cells (10 x106/mouse) from each donor sample were injected into multiple NOD.Cg-Prkdcscid Il2rgtm1Wjl/SzJ (NSG) immunodeficient mice. Mice were analyzed after ~20-24 weeks and the bone marrow was harvested (Model AML MLL_AF9 samples).


title: 10H111


title: Sample_AML-4055


title: SD-CD34-J0

source_name: cord blood cells

value: cord blood cells


title: SD-MLL-AF9-J0


title: SD2_BM_2936_CD33


title: Sample_AML-4057


title: SD2_BM_2934_CD33


title: S_MBD_15ng_1

description: 15ng low starting material protocol methyl-CG binding domain sequencing replicate 1


title: SD2_BM_2937_CD33


title: 2564


title: 2557


title: 2562


title: non-oxidation control rep3 nextseq


title: SD2_MLL_AF9_08-28


title: 2556


title: BW5-RNA


title: BW3-RNA


title: BW2-RNA


title: BW1-RNA


title: HL60

data_processing:
Basecalls performed using CASAVA 1.8.2
Sequenced reads were mapped to the reference genome using CASAVA 1.8.2
Reads Per Kilobase of exon per Megabase of library size (RPKM) were calculated using CASAVA 1.8.2.
Genome_build: hg19
Supplementary_files_format_and_content: Tab-delimited text file includes RPKM values. Columns are: Chromosome, Start location, Stop location, Gene, RPKM, basecount.

growth_protocol: KG1a, THP-1, HL-60 and MonoMac-1 leukemia cell lines  were grown in standard condition in RPMI/Opti-Media medium with 10% inactivated fetal bovine serum (FBS), penicillin (100 U/ml) and streptomycin (100 µg/ml) with 5% CO2.

value: HL60 leukemia cell line


title: CD34pos_rep2

growth_protocol: Human CD34+ cord blood cells were positively selected (CD34  cells)

tag: cell type

value: normal cord blood cell

tag: cell subtype


title: Thp1_tr

value: THP-1 leukemia cell line


title: Monocyte_rep1

value: Monocyte


title: CD34pos_rep1


title: MonoMac-1

value: MonoMac-1 leukemia cell line


title: Model AML MLL-AF9 _R1

data_processing:
the fastq files obtained from MiSeq and HiSeq were concatenated
Pair-end sequences were mapped to human reference genome (GRCH37/hg19) using  Bismark v0.10.1 and Bowtie 2 v2.2.5 as alignment
Bismark-methyaltion-extractor used for methylation calls extraction
PCR duplicate were removed using a Perl script provided by Krueger and Andrews,2011
Levels of methylation were calculated usting R packeage MethylKit v0.9.2 (Akalin et al., 2012)
Data were filtered with a number reads minimal of 8
Genome_build: GRCH37/hg19
Supplementary_files_format_and_content: tab-delimited text files include FreqC  values corresponding to the percentage of methylation for all sequenced cytosines for each sample:
Supplementary_files_format_and_content: chrBase  Identifiant: chromosome  chr  chromosome  base  position in the chromosome   strand  Forward (F) or Reverse (R) strand of DNA   coverage  numbers of reads  freqC  number of methylated cytosines/  Total of cytosines (methylated + unmethylated)  freqT  number of unmethylated cytosines/  Total of cytosines (methylated + unmethylated)

extract_protocol:
Genomic DNA was isolated from the cell pellets using the PureLink Genomic DNA Mini Kit.
Methyl-seq libraries were prepared for sequencing using Agilent SureSelextXT Human Methyl-seq Target enrichment system protocols

value: CD34 MLL-AF9 were injected into multiple NGS immunodeficient mice. Bone marrow was harvested after 24-24 weeks.


title: Model AML MLL-AF9 _R2


title: Monocyte_rep2


title: 2558


title: bP0_2_22

city: Beijing

first: Cheng-ran

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

department: School of Basic Medical Sciences

country: China

institute: Peking University

description:
Sample 126
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz

data_processing:
[Bulk Cell RNA-seq (Sample 001-014)] Reads were aligned to Mus musculus reference genome GRCm38/mm10 with TopHat (v2.1.0) using parameter “-G”.
[Bulk Cell RNA-seq (Sample 001-014)] Reads aligned to genes were calculated using HTSeq (v 0.6.0) with parameters “-f bam -r pos -s reverse -a 30”.
[Bulk Cell RNA-seq (Sample 001-014)] Reads of biological replications were pooled together.
[Bulk Cell RNA-seq (Sample 001-014)] Gene expression levels were quantified as TPM (Transcripts Per Kilobase Million).
[Bulk Cell RNA-seq (Sample 001-014)] TPM was normalized by size factors, which were calculated using DESeq (v1.20.0).
[Single Cell RNA-seq (Sample 015-950)] Reads were aligned to Mus musculus reference genome GRCm38/mm10 with TopHat (v2.1.0) using parameter “-G”.
[Single Cell RNA-seq (Sample 015-950)] Reads aligned to genes were calculated using HTSeq (v 0.6.0) with parameters “-f bam -r pos -s no -a 30”.
[Single Cell RNA-seq (Sample 015-950)] Gene expression levels were quantified as TPM (Transcripts Per Kilobase Million).
Genome_build: mm10
Supplementary_files_format_and_content: values tab-delimited text files include read count and TPM values for each sample

source_name: P0 Ins1-RFP+

extract_protocol:
[Bulk Cell RNA-seq (Sample 001-014)] Total RNA from approximately 3-5 × 10^4 sorted β-cells was extracted by the RNeasy Micro Kit (Qiagen, 74004) followed by mRNA purification using the NEBNext Poly(A) mRNA Magnetic Isolation Module (NEB #E7490).
[Bulk Cell RNA-seq (Sample 001-014)] Strand-specific libraries were prepared using the NEBNext Ultra Directional RNA Library Prep Kit for Illumina (NEB #E7420) following manufacturer’s instructions.
[Single Cell RNA-seq (Sample 015-950)] cDNA synthesis and amplification were performed following the Smart-seq2 protocol.
[Single Cell RNA-seq (Sample 015-950)] The libraries were prepared with 2 ng cDNA using the TruePrep DNA Library Prep Kit (Vazyme, TD502).

value: Pancreas

tag: developmental stage

tag: strain

value: P0, Ins1-RFP+

tag: collection method

value: FACS-sorted

tag: batch

value: β-cell P0-2


title: bP0_2_24

description:
Sample 128
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz

tag: tissue


title: bP0_2_28

description:
Sample 132
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: bP0_2_26

description:
Sample 130
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: bP0_2_25

description:
Sample 129
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: bP0_2_27

description:
Sample 131
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: bP0_2_20

description:
Sample 124
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: bP0_2_21

description:
Sample 125
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: bP0_2_16

description:
Sample 120
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: bP0_2_17

description:
Sample 121
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: bP0_2_23

description:
Sample 127
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: bP0_2_18

description:
Sample 122
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: bP0_2_19

description:
Sample 123
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: bP0_2_13

description:
Sample 117
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: bP0_2_14

description:
Sample 118
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: KG1a

value: KG1a leukemia cell line


title: bP0_2_11

description:
Sample 115
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: bP0_2_12

description:
Sample 116
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: bP0_2_10

description:
Sample 114
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: bP0_2_09

description:
Sample 113
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: bP0_2_06

description:
Sample 110
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: bP0_2_07

description:
Sample 111
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: bP0_2_04

description:
Sample 108
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: bP0_2_05

description:
Sample 109
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: bP0_2_02

description:
Sample 106
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: bP0_2_03

description:
Sample 107
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: bP0_2_01

description:
Sample 105
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: bP0_2_15

description:
Sample 119
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: bP0_1_29

description:
Sample 100
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz

value: β-cell P0-1


title: bP0_1_32

description:
Sample 103
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: bP0_1_27

description:
Sample 098
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: bP0_1_30

description:
Sample 101
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: bP0_1_31

description:
Sample 102
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: bP0_1_33

description:
Sample 104
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: bP0_1_28

description:
Sample 099
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: bP0_1_21

description:
Sample 092
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: bP0_1_20

description:
Sample 091
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: bP0_1_24

description:
Sample 095
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: bP0_1_25

description:
Sample 096
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: bP0_1_18

description:
Sample 089
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: bP0_1_22

description:
Sample 093
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: bP0_1_17

description:
Sample 088
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: bP0_1_19

description:
Sample 090
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: bP0_1_16

description:
Sample 087
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: bP0_2_08

description:
Sample 112
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: bP0_1_12

description:
Sample 083
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: bP0_1_09

description:
Sample 080
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: bP0_1_08

description:
Sample 079
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: bP0_1_10

description:
Sample 081
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: bP0_1_11

description:
Sample 082
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: bP0_1_13

description:
Sample 084
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: bP0_1_07

description:
Sample 078
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: bP0_1_26

description:
Sample 097
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: bP0_1_06

description:
Sample 077
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: bP0_1_23

description:
Sample 094
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: bP0_1_04

description:
Sample 075
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: bP0_1_03

description:
Sample 074
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: bP0_1_01

description:
Sample 072
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: bE17.5_3_19

description:
Sample 069
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz

source_name: E17.5 Ins1-RFP+


title: bP0_1_15

description:
Sample 086
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: bE17.5_3_20

description:
Sample 070
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: bE17.5_3_21

description:
Sample 071
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: bE17.5_3_16

description:
Sample 066
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: bE17.5_3_17

description:
Sample 067
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: bE17.5_3_15

description:
Sample 065
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: bE17.5_3_14

description:
Sample 064
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: bP0_1_14

description:
Sample 085
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: bP0_1_05

description:
Sample 076
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: bE17.5_3_10

description:
Sample 060
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: bE17.5_3_13

description:
Sample 063
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: bE17.5_3_12

description:
Sample 062
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: bE17.5_3_18

description:
Sample 068
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: bE17.5_3_09

description:
Sample 059
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: bE17.5_3_08

description:
Sample 058
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: bE17.5_3_05

description:
Sample 055
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: bE17.5_3_07

description:
Sample 057
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: bE17.5_3_06

description:
Sample 056
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: bE17.5_3_03

description:
Sample 053
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: bE17.5_3_04

description:
Sample 054
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: bE17.5_3_01

description:
Sample 051
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: bP0_1_02

description:
Sample 073
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: bE17.5_3_02

description:
Sample 052
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: bE17.5_2_31

description:
Sample 050
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz

value: manually-picked


title: bE17.5_2_30

description:
Sample 049
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: bE17.5_2_29

description:
Sample 048
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: bE17.5_2_28

description:
Sample 047
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: bE17.5_2_24

description:
Sample 043
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: bE17.5_2_25

description:
Sample 044
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: bE17.5_2_23

description:
Sample 042
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: bE17.5_3_11

description:
Sample 061
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: bE17.5_2_22

description:
Sample 041
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: bE17.5_2_21

description:
Sample 040
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: bE17.5_2_18

description:
Sample 037
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: bE17.5_2_20

description:
Sample 039
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: bE17.5_2_19

description:
Sample 038
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: bE17.5_2_17

description:
Sample 036
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: bE17.5_2_13

description:
Sample 032
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: bE17.5_2_15

description:
Sample 034
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: bE17.5_2_14

description:
Sample 033
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: bE17.5_2_16

description:
Sample 035
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: bE17.5_2_12

description:
Sample 031
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: bE17.5_2_10

description:
Sample 029
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: bE17.5_2_08

description:
Sample 027
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: bE17.5_2_09

description:
Sample 028
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: bE17.5_2_06

description:
Sample 025
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: bE17.5_2_07

description:
Sample 026
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: bE17.5_2_05

description:
Sample 024
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: bE17.5_2_02

description:
Sample 021
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: bE17.5_2_03

description:
Sample 022
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: bE17.5_2_27

description:
Sample 046
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: bE17.5_2_01

description:
Sample 020
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: bE17.5_2_26

description:
Sample 045
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: bE17.5_1_05

description:
Sample 019
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: bE17.5_1_04

description:
Sample 018
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: bE17.5_2_04

description:
Sample 023
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: bE17.5_1_03

description:
Sample 017
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: bE17.5_1_02

description:
Sample 016
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: bE17.5_1_01

description:
Sample 015
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: bE17.5_2_11

description:
Sample 030
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: aP0_3_07

description:
Sample 827
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz

source_name: Pancreas

value: P0, Gcg-Cre, Rosa-RFP+

value: α-cell P0-3


title: aP0_3_13

description:
Sample 833
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: aP0_3_11

description:
Sample 831
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: aP0_3_08

description:
Sample 828
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: aP0_3_05

description:
Sample 825
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: aP0_3_09

description:
Sample 829
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: aP0_3_06

description:
Sample 826
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: aP0_3_12

description:
Sample 832
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: aP0_3_04

description:
Sample 824
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: aP0_3_10

description:
Sample 830
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: aP0_3_02

description:
Sample 822
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: aE17.5_4_06

description:
Sample 820
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz

value: E17.5, Gcg-Cre, Rosa-RFP+


title: aE17.5_4_05

description:
Sample 819
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: aE17.5_4_03

description:
Sample 817
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: aE17.5_4_02

description:
Sample 816
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: bP60_5_20

description:
Sample 813
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz

value: P60, Ins1-RFP+

value: β-cell P60-5


title: bP60_5_19

description:
Sample 812
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: bP60_5_21

description:
Sample 814
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: bP60_5_18

description:
Sample 811
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: aE17.5_4_01

description:
Sample 815
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: bP60_5_16

description:
Sample 809
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: bP60_5_17

description:
Sample 810
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: bP60_5_15

description:
Sample 808
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: bP60_5_13

description:
Sample 806
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: bP60_5_14

description:
Sample 807
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: aP0_3_03

description:
Sample 823
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: bP60_5_11

description:
Sample 804
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: aP0_3_01

description:
Sample 821
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: bP60_5_09

description:
Sample 802
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: bP60_5_06

description:
Sample 799
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: bP60_4_26

description:
Sample 793
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz

value: β-cell P60-4


title: bP60_5_01

description:
Sample 794
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: bP60_5_04

description:
Sample 797
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: bP60_5_02

description:
Sample 795
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: bP60_5_08

description:
Sample 801
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: bP60_5_10

description:
Sample 803
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: bP60_4_25

description:
Sample 792
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: bP60_5_03

description:
Sample 796
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: bP60_4_23

description:
Sample 790
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: bP60_5_05

description:
Sample 798
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: bP60_4_22

description:
Sample 789
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: aE17.5_4_04

description:
Sample 818
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: bP60_4_21

description:
Sample 788
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: bP60_4_20

description:
Sample 787
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: bP60_4_17

description:
Sample 784
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: bP60_4_19

description:
Sample 786
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: bP60_4_18

description:
Sample 785
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: bP60_4_13

description:
Sample 780
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: bP60_4_14

description:
Sample 781
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: bP60_4_12

description:
Sample 779
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: bP60_4_16

description:
Sample 783
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: bP60_4_11

description:
Sample 778
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: bP60_4_10

description:
Sample 777
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: bP60_4_15

description:
Sample 782
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: bP60_5_07

description:
Sample 800
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: bP60_4_08

description:
Sample 775
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: bP60_4_07

description:
Sample 774
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: bP60_4_05

description:
Sample 772
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: bP60_4_06

description:
Sample 773
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: bP60_4_24

description:
Sample 791
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: bP60_4_04

description:
Sample 771
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: bP60_4_01

description:
Sample 768
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: bP60_4_03

description:
Sample 770
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: bP60_4_09

description:
Sample 776
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: bP60_3_24

description:
Sample 762
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz

value: β-cell P60-3


title: bP60_3_22

description:
Sample 760
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: bP60_3_28

description:
Sample 766
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: bP60_3_26

description:
Sample 764
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: bP60_3_23

description:
Sample 761
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: bP60_4_02

description:
Sample 769
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: bP60_3_20

description:
Sample 758
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: bP60_3_25

description:
Sample 763
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: bP60_3_27

description:
Sample 765
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: bP60_3_21

description:
Sample 759
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: bP60_3_17

description:
Sample 755
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: bP60_3_14

description:
Sample 752
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: bP60_3_18

description:
Sample 756
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: bP60_3_16

description:
Sample 754
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: bP60_3_19

description:
Sample 757
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: bP60_3_15

description:
Sample 753
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: bP60_3_12

description:
Sample 750
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: bP60_3_13

description:
Sample 751
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: bP60_3_29

description:
Sample 767
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: bP60_3_11

description:
Sample 749
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: bP60_3_10

description:
Sample 748
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: bP60_3_07

description:
Sample 745
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: bP60_3_09

description:
Sample 747
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: bP60_3_08

description:
Sample 746
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: bP60_3_06

description:
Sample 744
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: bP60_3_04

description:
Sample 742
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: bP60_3_03

description:
Sample 741
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: bP60_3_02

description:
Sample 740
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: bP60_3_05

description:
Sample 743
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: bP60_3_01

description:
Sample 739
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: bP18_3_03

description:
Sample 736
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz

value: P18, Ins1-RFP+

value: β-cell P18-3


title: bP18_3_02

description:
Sample 735
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: bP15_3_09

description:
Sample 732
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz

value: P15, Ins1-RFP+

value: β-cell P15-3


title: bP18_3_04

description:
Sample 737
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: bP18_3_05

description:
Sample 738
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: bP15_3_10

description:
Sample 733
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: bP15_3_07

description:
Sample 730
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: bP15_3_02

description:
Sample 725
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: bP15_3_04

description:
Sample 727
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: bP15_3_05

description:
Sample 728
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: bP3_5_10

description:
Sample 722
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz

value: P3, Ins1-RFP+

value: β-cell P3-5


title: bP15_3_06

description:
Sample 729
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz

value: FACS-sorted


title: bP15_3_03

description:
Sample 726
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: bP3_5_11

description:
Sample 723
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: bP60_5_12

description:
Sample 805
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: bP3_5_09

description:
Sample 721
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: bP3_5_08

description:
Sample 720
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: bP3_5_03

description:
Sample 715
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: bP3_5_04

description:
Sample 716
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: bP3_5_02

description:
Sample 714
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: bP3_5_07

description:
Sample 719
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: bP3_5_06

description:
Sample 718
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: bP3_5_01

description:
Sample 713
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: bP18_3_01

description:
Sample 734
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: bP3_5_05

description:
Sample 717
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: bP15_3_08

description:
Sample 731
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: bP3_4_17

description:
Sample 712
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz

value: β-cell P3-4


title: bP3_4_14

description:
Sample 709
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: bP3_4_13

description:
Sample 708
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: bP3_4_12

description:
Sample 707
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: bP3_4_15

description:
Sample 710
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: bP15_3_01

description:
Sample 724
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: bP3_4_10

description:
Sample 705
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: bP3_4_11

description:
Sample 706
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: bP3_4_07

description:
Sample 702
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: bP3_4_05

description:
Sample 700
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: bP3_4_04

description:
Sample 699
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: bP3_4_06

description:
Sample 701
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: bP3_4_02

description:
Sample 697
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: bP3_4_03

description:
Sample 698
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: bP3_3_23

description:
Sample 695
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz

value: β-cell P3-3


title: bP3_3_21

description:
Sample 693
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz

value: manually-picked


title: bP3_3_22

description:
Sample 694
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: bP3_4_16

description:
Sample 711
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: bP3_3_19

description:
Sample 691
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: bP3_3_20

description:
Sample 692
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: bP3_3_17

description:
Sample 689
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: bP3_3_18

description:
Sample 690
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: bP3_4_08

description:
Sample 703
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: bP3_3_16

description:
Sample 688
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: bP3_3_15

description:
Sample 687
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: bP3_3_11

description:
Sample 683
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: bP3_4_09

description:
Sample 704
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: bP3_3_14

description:
Sample 686
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: bP3_3_12

description:
Sample 684
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: bP3_3_09

description:
Sample 681
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: bP3_3_10

description:
Sample 682
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: bP3_3_08

description:
Sample 680
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: bP3_3_05

description:
Sample 677
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: bP3_3_06

description:
Sample 678
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: bP3_3_04

description:
Sample 676
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: bP3_3_07

description:
Sample 679
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: bP3_4_01

description:
Sample 696
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: bP3_3_01

description:
Sample 673
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: bP0_4_09

description:
Sample 672
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz

value: P0, Ins1-RFP+

value: β-cell P0-4


title: bP3_3_03

description:
Sample 675
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: bP0_4_07

description:
Sample 670
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: bP0_4_08

description:
Sample 671
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: bP3_3_02

description:
Sample 674
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: bP0_4_04

description:
Sample 667
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: bP0_4_05

description:
Sample 668
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: bP0_4_03

description:
Sample 666
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: bP0_4_02

description:
Sample 665
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: bP3_3_13

description:
Sample 685
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: bP0_4_01

description:
Sample 664
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: aE17.5_2_23

description:
Sample 659
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz

source_name: E17.5 Gcg-Cre, Rosa-RFP+; Gcg+, Ghrl+

value: Pancreas

value: Gcg-Cre, Rosa-RFP+; Gcg+, Ghrl+

value: E17.5, Gcg-Cre, Rosa-RFP+; Gcg+, Ghrl+


title: bP15_1_21

description:
Sample 655
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz

source_name: P15 Ins1-RFP+; Ins1+, Sst+

value: Ins1-RFP+; Ins1+, Sst+

value: P15, Ins1-RFP+; Ins1+, Sst+

value: β-cell P15-1


title: aP0_2_14

description:
Sample 662
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz

source_name: P0 Gcg-Cre, Rosa-RFP+; Gcg+, Ins1+

value: Gcg-Cre, Rosa-RFP+; Gcg+, Ins1+

value: P0, Gcg-Cre, Rosa-RFP+; Gcg+, Ins1+

value: α-cell P0-2


title: aE17.5_2_22

description:
Sample 658
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: aP0_2_12

description:
Sample 660
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz

source_name: P0 Gcg-Cre, Rosa-RFP+; Gcg+, Ghrl+

value: P0, Gcg-Cre, Rosa-RFP+; Gcg+, Ghrl+


title: aP18_2_14

description:
Sample 663
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz

source_name: P18 Gcg-Cre, Rosa-RFP+; Gcg+, Sst+, Ppy+

value: Gcg-Cre, Rosa-RFP+; Gcg+, Sst+, Ppy+

value: P18, Gcg-Cre, Rosa-RFP+; Gcg+, Ppy+, Sst+

value: α-cell P18-2


title: bP9_4_13

description:
Sample 654
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz

source_name: P9 Ins1-RFP+; expressing two or more of Pbk, Foxm1 and Cdk1; Ins1+, Ppy+

value: P9, Ins1-RFP+; proliferative cell enriched by PCR; Ins1+, Ppy+

value: FACS-sorted

value: β-cell P9-4


title: bP15_1_22

description:
Sample 656
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz

source_name: P15 Ins1-RFP+; Ins1+, Sst+, Ppy+

value: Ins1-RFP+; Ins1+, Sst+, Ppy+

value: P15, Ins1-RFP+; Ins1+, Sst+, Ppy+

value: manually-picked


title: bP60_1_40

description:
Sample 657
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz

source_name: P60 Ins1-RFP+; Ins1+, Sst+

value: Pancreas

value: P60, Ins1-RFP+; Ins1+, Sst+

value: β-cell P60-1


title: bP9_2_24

description:
Sample 651
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz

source_name: P9 Ins1-RFP+; Ins1+, Sst+

value: Ins1-RFP+; Ins1+, Sst+

value: P9, Ins1-RFP+; Ins1+, Sst+

value: β-cell P9-2


title: bP9_2_25

description:
Sample 652
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: bP0_2_31

description:
Sample 650
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz

source_name: P0 Ins1-RFP+; Ins1+, Sst+

value: P0, Ins1-RFP+; Ins1+, Sst+

value: β-cell P0-2


title: bP0_4_06

description:
Sample 669
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz

value: P0, Ins1-RFP+

value: β-cell P0-4


title: bP0_1_35

description:
Sample 648
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz

value: β-cell P0-1


title: bE17.5_3_24

description:
Sample 646
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz

source_name: E17.5 Ins1-RFP+; Ins1+, Sst+

value: E17.5, Ins1-RFP+; Ins1+, Sst+


title: bP0_1_34

description:
Sample 647
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz

source_name: P0 Ins1-RFP+; Ins1+, Ppy+

value: Ins1-RFP+; Ins1+, Ppy+

value: P0, Ins1-RFP+; Ins1+, Ppy+

value: FACS-sorted


title: bE17.5_3_23

description:
Sample 645
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: nP0_1_03

description:
Sample 641
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz

source_name: P0 Ngn3-GFP+

value: P0, Ngn3-GFP+; hormone-


title: aP60_1_19

description:
Sample 637
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz

source_name: P60 Gcg-Cre, Rosa-RFP+

value: Gcg-Cre, Rosa-RFP+

value: P60, Gcg-Cre, Rosa-RFP+

value: α-cell P60-1


title: nP0_1_02

description:
Sample 640
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz

value: Pancreas

value: manually-picked


title: bE17.5_2_32

description:
Sample 643
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz

source_name: E17.5 Ins1-RFP+; Ins1+, Gcg+

value: Ins1-RFP+; Ins1+, Gcg+

value: E17.5, Ins1-RFP+; Ins1+, Gcg+


title: aP0_2_13

description:
Sample 661
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz

value: Gcg-Cre, Rosa-RFP+; Gcg+, Ghrl+

value: P0, Gcg-Cre, Rosa-RFP+; Gcg+, Ghrl+

value: α-cell P0-2


title: bE17.5_3_22

description:
Sample 644
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz

value: Ins1-RFP+; Ins1+, Sst+


title: nP0_1_01

description:
Sample 639
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: aP60_1_18

description:
Sample 636
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: aP60_1_20

description:
Sample 638
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: bP9_2_26

description:
Sample 653
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz

value: P9, Ins1-RFP+; Ins1+, Sst+

value: β-cell P9-2


title: aP60_1_17

description:
Sample 635
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: bP0_2_30

description:
Sample 649
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz

value: P0, Ins1-RFP+; Ins1+, Sst+

value: β-cell P0-2


title: aP60_1_13

description:
Sample 631
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz

value: FACS-sorted


title: aP60_1_09

description:
Sample 627
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: aP60_1_15

description:
Sample 633
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: aP60_1_12

description:
Sample 630
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: aP60_1_08

description:
Sample 626
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: aP60_1_06

description:
Sample 624
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: aP60_1_14

description:
Sample 632
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: nP0_1_04

description:
Sample 642
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz

value: P0, Ngn3-GFP+; hormone-


title: aP60_1_07

description:
Sample 625
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz

value: Gcg-Cre, Rosa-RFP+


title: aP60_1_10

description:
Sample 628
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz

value: P60, Gcg-Cre, Rosa-RFP+


title: aP60_1_11

description:
Sample 629
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz

value: α-cell P60-1


title: aP60_1_05

description:
Sample 623
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz

value: Pancreas


title: aP60_1_03

description:
Sample 621
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: aP60_1_04

description:
Sample 622
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: aP60_1_02

description:
Sample 620
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: aP60_1_01

description:
Sample 619
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: aP18_2_13

description:
Sample 618
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz

source_name: P18 Gcg-Cre, Rosa-RFP+

value: P18, Gcg-Cre, Rosa-RFP+

value: α-cell P18-2


title: aP18_2_10

description:
Sample 615
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: aP18_2_12

description:
Sample 617
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: aP18_2_09

description:
Sample 614
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: aP18_2_11

description:
Sample 616
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: aP18_2_07

description:
Sample 612
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: aP18_2_08

description:
Sample 613
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: aP18_2_05

description:
Sample 610
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: aP18_2_04

description:
Sample 609
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: aP18_2_06

description:
Sample 611
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: aP60_1_16

description:
Sample 634
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: aP18_2_02

description:
Sample 607
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: aP18_2_03

description:
Sample 608
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: aP18_1_17

description:
Sample 603
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz

value: α-cell P18-1


title: aP18_2_01

description:
Sample 606
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: aP18_1_19

description:
Sample 605
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: aP18_1_18

description:
Sample 604
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: aP18_1_12

description:
Sample 598
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: aP18_1_15

description:
Sample 601
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: aP18_1_09

description:
Sample 595
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: aP18_1_08

description:
Sample 594
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: aP18_1_10

description:
Sample 596
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: aP18_1_07

description:
Sample 593
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: aP18_1_06

description:
Sample 592
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: aP18_1_05

description:
Sample 591
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: aP18_1_04

description:
Sample 590
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: aP15_1_24

description:
Sample 586
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz

source_name: P15 Gcg-Cre, Rosa-RFP+

value: P15, Gcg-Cre, Rosa-RFP+

value: α-cell P15-1


title: aP15_1_22

description:
Sample 584
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: aP18_1_01

description:
Sample 587
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: aP15_1_21

description:
Sample 583
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: aP15_1_20

description:
Sample 582
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: aP15_1_19

description:
Sample 581
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: aP15_1_18

description:
Sample 580
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: aP18_1_02

description:
Sample 588
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: aP18_1_13

description:
Sample 599
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: aP18_1_16

description:
Sample 602
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: aP18_1_14

description:
Sample 600
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: aP15_1_17

description:
Sample 579
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: aP15_1_16

description:
Sample 578
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: aP15_1_15

description:
Sample 577
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: aP15_1_14

description:
Sample 576
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: aP15_1_13

description:
Sample 575
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: aP15_1_11

description:
Sample 573
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: aP18_1_11

description:
Sample 597
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: aP15_1_12

description:
Sample 574
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: aP15_1_10

description:
Sample 572
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: aP15_1_08

description:
Sample 570
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: aP15_1_09

description:
Sample 571
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: aP18_1_03

description:
Sample 589
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: aP15_1_06

description:
Sample 568
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: aP15_1_04

description:
Sample 566
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: aP15_1_07

description:
Sample 569
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: aP15_1_05

description:
Sample 567
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: aP15_1_23

description:
Sample 585
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: aP15_1_03

description:
Sample 565
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: aP15_1_02

description:
Sample 564
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: aP9_3_05

description:
Sample 559
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz

source_name: P9 Gcg-Cre, Rosa-RFP+

value: P9, Gcg-Cre, Rosa-RFP+

value: α-cell P9-3


title: aP9_3_07

description:
Sample 561
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: aP9_3_08

description:
Sample 562
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: aP9_3_06

description:
Sample 560
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: aP9_3_04

description:
Sample 558
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: aP9_3_03

description:
Sample 557
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: aP9_3_02

description:
Sample 556
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: aP9_2_22

description:
Sample 554
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz

value: α-cell P9-2


title: aP9_3_01

description:
Sample 555
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: aP9_2_20

description:
Sample 552
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: aP9_2_18

description:
Sample 550
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: aP9_2_19

description:
Sample 551
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: aP9_2_21

description:
Sample 553
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: aP9_2_17

description:
Sample 549
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: aP9_2_16

description:
Sample 548
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: aP9_2_13

description:
Sample 545
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: aP9_2_14

description:
Sample 546
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: aP9_2_15

description:
Sample 547
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: aP9_2_10

description:
Sample 542
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: aP9_2_12

description:
Sample 544
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: aP9_2_09

description:
Sample 541
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: aP15_1_01

description:
Sample 563
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: aP9_2_05

description:
Sample 537
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: aP9_2_07

description:
Sample 539
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: aP9_2_02

description:
Sample 534
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: aP9_2_04

description:
Sample 536
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: aP9_2_06

description:
Sample 538
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: aP0_2_11

description:
Sample 513
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz

source_name: P0 Gcg-Cre, Rosa-RFP+

value: P0, Gcg-Cre, Rosa-RFP+

value: manually-picked

value: α-cell P0-2


title: aP0_2_09

description:
Sample 511
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: aP0_2_08

description:
Sample 510
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: aP0_2_05

description:
Sample 507
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: aP0_2_06

description:
Sample 508
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: aP0_2_04

description:
Sample 506
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: aP0_2_03

description:
Sample 505
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: aP0_2_02

description:
Sample 504
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: aP9_2_01

description:
Sample 533
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz

value: FACS-sorted


title: aP0_2_01

description:
Sample 503
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: aP0_2_07

description:
Sample 509
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz


title: aP0_1_20

description:
Sample 501
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz

value: α-cell P0-1


title: aP9_2_11

description:
Sample 543
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz

value: Gcg-Cre, Rosa-RFP+


title: aP0_1_19

description:
Sample 500
Single_Cell_RNA-seq_Gene_Read_Count.txt.gz
Single_Cell_RNA-seq_Gene_TPM.txt.gz