title: WGBS of TSa2i-c57-p58

value: wild-type


title: Has2+/- KO mice saline control 1

status: Public on Jan 26 2022

type: SRA

city: Tsukuba

first: Takumi

last: Kiwamoto

address: 1-1-1 Tennoudai

department: Pulmonary Medicine

country: Japan

institute: University of Tsukuba

library_source: transcriptomic

data_processing: FASTQ files were analyzed using CLC Genomics Workbench (Version 10.1.1; Qiagen, Redwood City, CA).

molecule: total RNA

organism: Mus musculus

source_name: Whole lung tissue homogenate

extract_protocol:
Lung were removed, flash frozen on dry ice, and RNA was harvested using Trizol reagent. RNA sequencing (RNA-seq) libraries were prepared using a NEBNext rRNA Depletion Kit (New England Biolabs, Ipswich, MA) and an ENBNext Ultra Directional RNA Library Prep Kit (New England Biolabs) according to the manufacturer’s instructions using 500 ng of total RNA samples.
RNA libraries were prepared for sequencing using standard Illumina protocols

tag: strain

value: Balb/c

tag: genotype

value: Has2+/- KO

tag: treatment

value: treated with intranasal saline for 8 weeks

tag: tissue

value: lung


title: WT mice saline control 5

value: WT


title: Somitoid Day 2

city: Boston

first: Christoph

last: Budjan

state: MA

address: 450 Brookline Ave

department: Data Sciences

country: USA

institute: Dana-Farber Cancer Institute

description: Single-cell RNA-seq (10x)

data_processing:
Raw reads were demultiplexed, filtered and mapped to the human reference genome (GRCh38) using Cell Ranger 4.0.0 with default settings. The filtered feature-barcode matrices generated by Cell Ranger were used for further analysis.
For the initial QC, we determined the following thresholds for filtering out low-quality cells: UMI counts less than 500, gene counts less than 200, mitochondrial fraction above 0.2 and a complexity score of less than 0.8 (calculated as log10(genes)/log10(UMIs)).
Genome_build: GRCh38
Supplementary_files_format_and_content: Matrix table with filtered UMI counts, containing only detected cell-associated barcodes (number of UMIs associated with a feature (row) and a barcode (column)); TSV files contain gene (feature) and cell (barcode) annotations, respectively.

molecule: polyA RNA

organism: Homo sapiens

source_name: NCRM1 human IPSC

extract_protocol:
Cell dissociation protocols were optimized to achieve single cell suspensions with >90% viable cells and low number of doublets. Organoids collected at day 1, 2, 3, and 5 of our differentiation protocol were pooled in pre-warmed PBS, transferred to pre-warmed accutase and incubated for 5-7 min at 37°C. For Day 1 organoid cell suspension, 30 organoids were pooled. For Day 2 organoid cell suspension, 15 organoids were pooled. For Day 3 cell suspension, 8 organoids were pooled. For Day 5 cell suspension, 5 organoids were pooled. Organoids were briefly rinsed in PBS, then transferred to 500 µl PBS/0.05% BSA and carefully triturated to generate a single-cell suspension. Cell suspension was run through a cell strainer (Falcon, cat. no. 352235) and transferred to a 1.5 ml tube. Cells were spun down at 250g for 3 min at 4°C. Cell pellet was resuspended in 25 µl PBS/0.05% BSA, cell concentration and viability was measured using an automated cell counter, and cell suspension was further diluted as appropriate to reach the optimal range for 10x (700-1200 cells per µl).
Cells were subjected to single-cell RNA sequencing (10x Genomics, Chromium Single Cell 3’ v3) aiming for the following target cell numbers: Day 1, 3,000 cells; Day 2, 4,000 cells; Day 3, 5,000 cells; Day 5, 6,000 cells. Estimated actual cell numbers collected were: Day 1, 2,930 cells; Day 2, 4,977; Day 3, 5,968 cells; Day 5, 4,841 cells. Single-cell libraries were generated using standard protocols. Libraries were sequenced together on a NovaSeq 6000 system resulting in 800 million reads.

tag: cell type

value: Human iPSC in vitro cultures

tag: developmental stage

value: Day 2

value: wild type


title: 18N

type: RNA

city: Wuhu

first: xiao

middle: long

last: zhu

state: Anhui

address: 2 Zheshan western road

country: China

institute: Yijishan Hospital

description: Gene expression data from adjacent non-tumor tissues

hyb_protocol: Following fragmentation, aRNA were hybridized for 16 hr at 45C on GeneChip Hybridization Oven 645. GeneChips were washed and stained in the Affymetrix Fluidics Station 450.

scan_protocol: GeneChips were scanned using the GeneChip Scanner 3000.

data_processing: The data were analyzed with RMA using Affymetrix default analysis settings and global scaling as normalization method.

label: biotin

source_name: adjacent non-tumor tissues

label_protocol: Biotinylated aRNA were prepared according to the GeneChip 3’IVT Express Kit protocol.

extract_protocol: Trizol extraction of total RNA was performed according to the manufacturer's instructions.

value: brain


title: Somitoid Day 1

description: Single-cell RNA-seq (10x)

value: Day 1


title: L56

city: Frederiksberg C.

first: Josephine

last: Skat-Rørdam

address: Ridebanevej 9

department: Department of Veterinary and Animal Sciences

country: Denmark

institute: Københavns Universitet

description: Animals were maintained on the same diet for 32 weeks

data_processing:
Base calling was performed on Novaseq 6000 (illumina) using RTA 2.0, and the resulting BCL files were converted to fastq files using the bcl2fastq software 2.19 (illumina)
Fastq files were trimmed for adaptor sequences and any reads below 50 nt. were discarded using the Trimmomatic 0.38.0 software with the input SLIDING WINDOW: number of bases to average across: 4, average quality required 20, HEADCROP: 9, MINLEN: 50
The trimmed reads were mapped using the HISAT2 2.1.0 mapper. The Cavia Porcellus genome and annotation  (CavPor.3.0.98) was acquired from ensemble, and used as reference genome
Initial transcript assembly was performed by StringTie 2.1.1 using the guinea pig annotation file (CavPor.3.0.98) as a guide. StringTie merge 2.1.1 was run on Stringtie output from all  samples with the guinea pig annotation file as a guide, and default parameters. For quantification StringTie was run on the StringTie merge file seperately for each sample by using the guinea pig annotation file as a guide, setting the -e parameter was set to "yes" and the output type to deseq2
Raw counts for each StringTie file was assembled into a collected file and to obtain translatability and more annotation, BioMart was used to find human orthologs for each transcript. To diminish background noise genes with raw counts below 200 across all samples were discarded. Finally Deseq2 was used for differential expression
Genome_build: CavPor3
Supplementary_files_format_and_content: raw_counts.txt: Matrix file with raw counts for each gene and each sample. Vst_norm_counts.txt: Normalized and transformed values for each sample, and each gene (normalized according to DESeqs' size factor, and vst tranformed).

organism: Cavia porcellus

source_name: Liver

extract_protocol:
Liver sections from the left lateral lobe were snap frozen in liquid nitrogen. 10 mg. liver tissue was purified using the RNeasy Lipid Tissue Mini Kit in accordance with manufacturers instructions. 25 ul of the purified RNA (200-500 ng/ml) was sent to Novogene for sequencing.
Total RNA was enriched for mRNA by using oligodT bead system. The mRNA was then fragmented by adding fragmentation buffer, after which the cDNA was synthesized by using mRNA template and random hexamer primers and a custom second strand synthesis buffer (illumina) together with dNATPs, RNase H and DNA polymerase I to initiante second strand synthesis. Secondly after a series of terminal repair, and ligation and sequencing adaptor ligation the double-stranded cDNA library was completed through size selection and PCR enrichment (Novogene).

treatment_protocol: Animals were given either a low fat (n=16), a high fat (n=16) or a high fat low vitamin C diet (n=48). After 16 weeks 8 animals from each group were euthanized, and the remaining animals in the high fat low vitamin C group were randomized and divided into 4 groups given one of the following diets: High fat low vitamin C (continuing on the same diet), high fat high vitamin C, low fat low vitamin C, low fat high vitamin C. After another 16 weeks all animals were euthanized an samples were collected for transcriptome analysis

value: Hartley

value: liver

tag: diet

value: Low Fat

tag: disease state

value: Healthy

tag: time on diet

value: 32 weeks


title: WT mice saline control 4


title: L25


title: mEC_batch1_10X

city: Beijing

first: Ji

last: Dong

address: Yiheyuan 5#

institute: Peking University

data_processing:
10X Genomics CellRanger version 2.1 were used to the basecalling.
Sequencing data from 10X genomics was processed with CellRanger software package (version 2.1.0) with default mapping arguments. For modified STRT-seq data, raw reads were first split for each cell by specific barcode sequence attached in Read 2. The TSO sequence and polyA tail sequence were trimmed for the corresponding Read 1 after UMI information was aligned to it. Reads with adapter contaminants or low-quality bases (N > 10%) were discarded. Subsequently, we aligned the stripped Read 1 sequences to hg19 human transcriptome (UCSC) using Hisat2 (version 2.10). Uniquely mapped reads were counted by HTSeq package83 and grouped by the cell-specific barcodes. Duplicated transcripts were removed based on the UMI information for each gene. Finally, for each individual cell, the copy number of transcripts of a given gene was the number of the distinct UMIs of that gene.
Genome_build: hg19
Supplementary_files_format_and_content: tab-delimited text files include UMI values for each cell

source_name: mouse embryonic cells

extract_protocol: A modified STRT-seq protocol was applied for single-cell RNA-seq. Briefly, sorted single cells in good condition were picked into lysis by mouth pipetting, and the scRNA-seq libraries were constructed based on STRT-seq with some modifications. cDNAs were synthesized using sample-specific 25-nt oligo-dT primer containing 8-nt barcode (TCAGACGTGTGCTCTTCCGATCT-XXXXXXXX-DDDDDDDD-T25, X representing sample-specific barcode while D standing for unique molecular identifiers (UMI).  After reverse transcription and second-strand cDNA synthesis, the cDNAs were amplified by 16 cycles of PCR using ISPCR primer and 3’ Anchor primer. Samples were pooled and purified using Agencourt AMPure XP beads . 4 cycles of PCR were performed to introduce index sequence  and subsequently, 400 ng cDNAs were fragmented to around 300 bp by Covaris S2. After being incubated with Dynabeads MyOneTM Streptavidin C1 beads (Thermo Fisher, 65002) for 1 hour at room temperature, cDNA Libraries were generated using KAPA Hyper Prep Kit (Kapa Biosystems, kk8505). After adaptor ligation, the libraries were amplified by 8 cycles of PCR using QP2 primer and short universal primer. The libraries were sequenced on Illumina Hiseq X Ten platform in 150 bp pair-ended manner

value: Body, Head, Limb

tag: development stage


title: taf12-t1.root.rp4

city: Yokohama

first: June-Sik

last: Kim

state: Kanagawa

address: 1-7-22, Suehiro-cho, Tsurumi-ku

institute: RIKEN CSRS

description: The underground part (root) of T-DNA mutant taf12-t1 (WiscDsLoxHs044_12E) seedlings, repeat4

data_processing:
Low quality and artificial sequence trimming were achieved by trimmomatic (version 0.39; Bolger  et al. 2014) with parameters "PE ILLUMINACLIP:TruSeq3-PE-2.fa:2:30:10 LEADING:20 TRAILING:20 SLIDINGWINDOW:4:15 MINLEN:36"
The mapping step to the Arabidopsis primary transcript set was achieved with helps of kallisto software (ver. 0.44.0; Bray et al. 2016) with parameters "-b 40 --rf-stranded"
Genome_build: Araport11
Supplementary_files_format_and_content: Standard kallisto output "abundance.tsv" file; a tab-delimited text file includes the transcript per million (TPM) value for each evaluated transcript model.

organism: Arabidopsis thaliana

growth_protocol: The seeds were sterilized and stratified at 4oC for 3 d in the dark, then sown on the a half-strength GM agar plates. Seedlings were grown in a growth chamber with 16-h fluorescent light time, 22oC, and 65% RH.

extract_protocol:
RNA was extracted from the ground tissues by using RNeasy Plant mini kit (QIAGEN) and Rnase-free Dnase set (QIAGEN). The final product was validated by Agilent Bioanalyzer 2100 (Agilent).
RNA libraries were prepared for the sequencing using standard Illumina protocols.

treatment_protocol: The 12-d-old seedlings were harvested their shoot and root separately, the samples were immediatly frozen by liquid nitrogen.

value: 13 day-after sowing

value: root


title: 17N


title: Has2+/- KO mice saline control 4

value: Balb/c

value: Has2+/- KO


title: taf12-t1.root.rp3

description: The underground part (root) of T-DNA mutant taf12-t1 (WiscDsLoxHs044_12E) seedlings, repeat3


title: WT mice saline control 3

value: treated with intranasal saline for 8 weeks

value: lung


title: Has2+/- KO mice saline control 3


title: ABA-015 (SLE) single B cells, scV(D)J-seq

city: Aurora

first: Roberta

last: Pelanda

state: CO

address: 12800 East 19th Avenue

department: Immunology&Microbiology

description: SLE patients and healthy controls were recruited at the University of Colorado Anschutz Medical Campus

data_processing:
Library strategy: VDJ-seq
V(D)J libraries were processed and aligned using the cellranger vdj pipeline (v3.1.0, 10X Genomics). Immunoglobulin heavy and light chain gene sequences of single B cells were analyzed using the Loupe VDJ Browser (v4.1.0, 10X Genomics). Igk and Igl genes were analyzed only for B cell clones reporting a single heavy chain rearrangement
Supplementary_files_format_and_content: bCellEnriched_clonotypes.csv
Supplementary_files_format_and_content: bCellEnriched_filtered_contig_annotations.csv
Supplementary_files_format_and_content: bCell_clonotypes.csv
Supplementary_files_format_and_content: bCell_filtered_contig_annotations.csv

source_name: Peripheral blood B cells

extract_protocol:
Frozen human PBMCs were rapidly thawed in a 37ºC water-bath and dead cells were removed with the Dead Cell Removal kit and an AutoMACS Pro Separator (both from Miltenyi Biotech). Untouched B cells were then isolated with the B cell Isolation kit II (Miltenyi Biotech) and resuspended in PBS, 0.04% BSA at 7-11x105 cells/ml.
The Chromium Next GEM Single Cell 5’ Library and V(D)J Enrichment Kit for Human B Cells (version 1.1) was used to construct V(D)J-enriched libraries (following manufacturer's instructions)
scV(D)J-seq

value: Circulating B cells

value: Peripheral blood

tag: age

value: adult

value: clinical SLE


title: ABA-019 (SLE) single B cells, scV(D)J-seq

institute: University of Colorado Anschutz Medical Campus


title: WT mice saline control 2

value: WT


title: taf12-t1.root.rp2

description: The underground part (root) of T-DNA mutant taf12-t1 (WiscDsLoxHs044_12E) seedlings, repeat2


title: 15N

value: brain


title: ABA-07 (SLE) single B cells, scV(D)J-seq


title: WT mice saline control 1


title: 13N


title: ABCtr-019 (control) single B cells, scV(D)J-seq

value: healthy control


title: L64

value: Hartley

value: liver

value: Low Fat


title: 16N


title: 14N


title: ABCtr-015 (control) single B cells, scV(D)J-seq


title: KL_rep4

city: Helsinki

first: Tomi

last: Makela

address: Biomedicum 1, Haartmaninkatu 8

country: Finland

institute: University of Helsinki

data_processing:
Sequenced reads were aligned to mouse reference genome build GRCm38.p3 using STAR aligner (Dobin et al. 2013) and gene wise number of aligned reads were computed using Htseq (Anders, Pyl, and Huber 2015).
Gene wise aligned read counts were analyzed for differential gene expression analysis using limma-voom R package.
Genome_build: mouse GRCm38.p3
Supplementary_files_format_and_content: Matrix table with raw gene counts for every gene and every sample

source_name: Lung tumor

extract_protocol:
Lung tumor samples were freshly dissected and preserved in RNAlater, and RNA was extracted using RNeasy Mini Kit (QIAGEN) and treated with DNase. Illumina TruSeq RNA Sample Prep Kit (Cat#FC-122-1001) was used with 1 ug of total RNA for the construction of sequencing libraries.
mRNA-seq libraries were prepared with the SureSelect Strand Specific RNA library prep kit (Agilent Technologies) after PolyA capture, and then sequenced by single-end 75 base pairs using the Illumina NextSeq 500 platform.

value: LSL-Kras (G12D/+), Lkb1 (flox/flox)

tag: virus (pfu)

tag: age (day) when infected

tag: sample collection time (day) after infection


title: taf12-t1.shoot.rp4

description: The aerial part (shoot) of T-DNA mutant taf12-t1 (WiscDsLoxHs044_12E) seedlings, repeat4

value: 13 day-after sowing

value: shoot


title: KL_rep3

value: LSL-Kras (G12D/+), Lkb1 (flox/flox), mTmG


title: ABCtr-07 (control) single B cells, scV(D)J-seq


title: taf12-t1.shoot.rp3

description: The aerial part (shoot) of T-DNA mutant taf12-t1 (WiscDsLoxHs044_12E) seedlings, repeat3


title: 11N


title: 12N


title: KL_rep2


title: Sample 25-Week 6-Paxgene tube

city: St. Leonards

first: Long

middle: The

last: Nguyen

state: NSW

address: Royal North Shore Hospital, Pacific Hwy

department: Kolling Institute

country: Australia

institute: The University of Sydney

data_processing:
Next-gene sequencing of patients’ whole blood transcriptome was performed by Genewiz using Illumina NovaSeq 6000 platform obtaining sequence depth of 50 million reads/sample
Gene expression analysis was performed using the edgeR v3.28.185 and RUVSeq v 1.0.086 Bioconductor packages within R statistical software. Differential expression analysis was performed comparing all samples at baseline with all samples at W6 taking account of the paired nature of the data and the tube used for sample collection (Paxgene or Tempus)
The RUVSeq package was used to remove unwanted variation, employing the RUVg function and using a set of 1000 of the least variable genes as control genes.
Gene set enrichment analysis was performed using the camera function of limma v. 3.42.287 to determine regulated pathways at W6
Genome_build: ENSEMBL: Homo_sapiens.GRCh37.91
Supplementary_files_format_and_content: Excel files include FPKM values for each Sample
Supplementary_files_format_and_content: Matrix table with raw gene counts for every gene and every sample

source_name: Whole blood

extract_protocol:
Retinas were removed, flash frozen on dry ice, and RNA was harvested using Trizol reagent. Illumina TruSeq RNA Sample Prep Kit (Cat#FC-122-1001) was used with 1 ug of total RNA for the construction of sequencing libraries.
RNA libraries were prepared for sequencing using standard Illumina protocols

value: Whole blood

value: type 1 diabetes

value: Week 6


title: taf12-t1.shoot.rp2

description: The aerial part (shoot) of T-DNA mutant taf12-t1 (WiscDsLoxHs044_12E) seedlings, repeat2


title: KL_rep1

value: lung


title: taf12-t1.shoot.rp1

description: The aerial part (shoot) of T-DNA mutant taf12-t1 (WiscDsLoxHs044_12E) seedlings, repeat1


title: Sample 25-Week 0-Paxgene tube

value: Baseline (week 0)


title: KAA_rep4

value: LSL-Kras (G12D/+), AMPKa1 (flox/flox), AMPKa2 (flox/flox)


title: 9N


title: Sample 24-Week 6-Paxgene tube


title: 8N


title: Sample 24-Week 0-Paxgene tube


title: nbr6-t1.root.rp3

description: The underground part (root) of T-DNA mutant nbr6-t1 (GABI_172C03) seedlings, repeat3

value: root


title: nbr6-t1.root.rp4

description: The underground part (root) of T-DNA mutant nbr6-t1 (GABI_172C03) seedlings, repeat4


title: Sample 22-Week 6-Paxgene tube


title: taf12-t1.root.rp1

description: The underground part (root) of T-DNA mutant taf12-t1 (WiscDsLoxHs044_12E) seedlings, repeat1


title: 6N


title: 7N


title: KAA_rep1


title: 5N


title: Sample 22-Week 0-Paxgene tube


title: nbr6-t1.root.rp1

description: The underground part (root) of T-DNA mutant nbr6-t1 (GABI_172C03) seedlings, repeat1


title: K_rep4

value: LSL-Kras (G12D/+)


title: 10N

value: brain


title: Sample 21-Week 6-Paxgene tube


title: 3N


title: Naïve

city: Rehovot

first: Ido

last: Amit

address: 234 Herzl st.

department: Immunology

country: Israel

institute: Weizmann Institute of Science

description: 3' sequencing

data_processing:
10x genomics according to the manufacturer protocol
mm10
Supplementary_files_format_and_content: 3 files containing sparse matrix include mRNA molecule filtered  count values for each Sample

source_name: Tongue epithelium

extract_protocol:
After 5 weeks of treatment, the tongue epithelial tissues were collected from 4NQO-treated and naïve control mice. The tissues were processed with Collagenase /DNAse to obtain single-cell suspensions that were further enriched for CD45+ cells using magnetic columns.
10x genomics according to the manufacturer protocol

treatment_protocol: 1 gram of 4NQO (sigma N8141-5G) was dissolved in 200 mL propylene glycol (sigma P4347-500ML) for 3-5 hours (until homogeneous) and aliquots of the stock solution (5 mg/ml) were stored at 4°C. The stock solution was diluted in 250 ml of drinking water to a final concentration of 60 μg/ml. The water was provided in a dark bottle and replaced twice a week.

tag: organ

value: Tongue

tag: selection marker

value: enrichment to CD45+ cells

value: Regular water

tag: mouse age

value: 12 weeks


title: 4N


title: K_rep3


title: nbr6-t1.shoot.rp4

description: The aerial part (shoot) of T-DNA mutant nbr6-t1 (GABI_172C03) seedlings, repeat4


title: K_rep2


title: Sample 21-Week 0-Paxgene tube


title: nbr6-t1.shoot.rp2

description: The aerial part (shoot) of T-DNA mutant nbr6-t1 (GABI_172C03) seedlings, repeat2


title: 2N


title: nbr6-t1.shoot.rp3

description: The aerial part (shoot) of T-DNA mutant nbr6-t1 (GABI_172C03) seedlings, repeat3


title: Sample 20-Week 6-Paxgene tube


title: Sample 20-Week 0-Tempus tube


title: 1N

description: Gene expression data from adjacent non-tumor tissues


title: K_rep1


title: KAA_rep2


title: M_FIP3

city: Durham

first: Rana

middle: K

last: Gupta

state: North Carolina

address: Carmichael Building, 300 North Duke St.

department: Duke Molecular Physiology Institute

institute: Duke University

data_processing:
Reads with phred quality scores <20 and <35 bp after trimming were removed from further analysis using trimgalore version 0.4.1.
Quality-filtered reads were then aligned to the mouse reference genome GRCm38 (mm10) using the HISAT (v2.0.1) using default settings.
Duplicates were marked using Sambamba version 0.6.6.
Aligned reads were quantified using ‘featurecount’ (v1.4.6).
Generatin of normalized counts and analysis of differential gene expression was done using the R package DEseq2 (v1.6.3).
Genome_build: mm10
Supplementary_files_format_and_content: text file of normalized counts for every sample and every gene

source_name: Adipose tissue PDGFRb+ cells

extract_protocol:
Aipose tissue PDGFRb+ cells were isolated by flow cytometry, and RNA was harvested using Trizol reagent. 0.5 ug total RNA of each sample was used for the construction of sequencing libraries.
RNA libraries were prepared for sequencing using NEBNext Ultra II RNA Libray Prep Kit following manufacturer's instructions

tag: strain

value: PDGFRb+ cells

tag: subpopulation

value: FIP

tag: depot

value: Gonadal white adipose tissue

tag: Sex

value: Male


title: Sample 19-Week 6-Paxgene tube

tag: tissue

value: Whole blood

tag: treatment


title: nbr6-t1.shoot.rp1

description: The aerial part (shoot) of T-DNA mutant nbr6-t1 (GABI_172C03) seedlings, repeat1

tag: developmental stage

value: 13 day-after sowing

value: shoot

tag: genotype


title: nbr6-t1.root.rp2

description: The underground part (root) of T-DNA mutant nbr6-t1 (GABI_172C03) seedlings, repeat2


title: nobiro6.root.rp4

description: The underground part (root) of suppressor mutant nobiro6 (bzip1728 + a)  seedlings, repeat4


title: M_FIP2

tag: cell type


title: Sample 19-Week 0-Tempus tube

tag: disease state

value: type 1 diabetes


title: nobiro6.root.rp3

description: The underground part (root) of suppressor mutant nobiro6 (bzip1728 + a)  seedlings, repeat3


title: M_FIP1


title: Sample 18-Week 6-Paxgene tube

value: Week 6


title: Sample 18-Week 0-Paxgene tube

value: Baseline (week 0)


title: M_DPP4_pos3

value: DPP4_pos APC

value: Inguinal white adipose tissue


title: nobiro6.root.rp1

description: The underground part (root) of suppressor mutant nobiro6 (bzip1728 + a)  seedlings, repeat1

value: root


title: nobiro6.shoot.rp4

description: The aerial part (shoot) of suppressor mutant nobiro6 (bzip1728 + a) seedlings, repeat4


title: Sample 17-Week 0-Tempus tube


title: Sample 17-Week 6-Paxgene tube


title: nobiro6.shoot.rp3

description: The aerial part (shoot) of suppressor mutant nobiro6 (bzip1728 + a) seedlings, repeat3


title: M_DPP4_pos1


title: M_DPP4_pos2


title: M_DPP4_neg3

value: DPP4_neg APC


title: Sample 16-Week 6-Paxgene tube


title: nobiro6.shoot.rp2

description: The aerial part (shoot) of suppressor mutant nobiro6 (bzip1728 + a) seedlings, repeat2


title: M_DPP4_neg2


title: Sample 16-Week 0-Tempus tube


title: M_DPP4_neg1


title: 16T

description: Gene expression data from glioma tissues

source_name: glioma tissues

value: brain


title: nobiro6.shoot.rp1

description: The aerial part (shoot) of suppressor mutant nobiro6 (bzip1728 + a) seedlings, repeat1


title: Sample 15-Week 6-Paxgene tube


title: 17T


title: bz1728.root.rp4

description: The underground part (root) of double mutant bzip1728 (SALK_004048 & SALK_132285) seedlings, repeat4


title: 18T


title: M_APC3

value: APC


title: 15T


title: 19T


title: 14T


title: 11T


title: nobiro6.root.rp2

description: The underground part (root) of suppressor mutant nobiro6 (bzip1728 + a)  seedlings, repeat2


title: 9T


title: Sample 15-Week 0-Paxgene tube


title: bz1728.root.rp3

description: The underground part (root) of double mutant bzip1728 (SALK_004048 & SALK_132285) seedlings, repeat3


title: 12T


title: M_APC2


title: bz1728.root.rp2

description: The underground part (root) of double mutant bzip1728 (SALK_004048 & SALK_132285) seedlings, repeat2


title: Sample 14-Week 6-Paxgene tube


title: M_APC1


title: 8T


title: Sample 14-Week 0-Tempus tube


title: F_FIP3

value: Female


title: bz1728.root.rp1

description: The underground part (root) of double mutant bzip1728 (SALK_004048 & SALK_132285) seedlings, repeat1


title: 7T


title: 13T


title: Sample 11-Week 6-Paxgene tube


title: bz1728.shoot.rp4

description: The aerial part (shoot) of double mutant bzip1728 (SALK_004048 & SALK_132285) seedlings, repeat4


title: F_FIP2

value: PDGFRb+ cells


title: 6T


title: bz1728.shoot.rp3

description: The aerial part (shoot) of double mutant bzip1728 (SALK_004048 & SALK_132285) seedlings, repeat3


title: Sample 11-Week 0-Tempus tube


title: bz1728.shoot.rp2

description: The aerial part (shoot) of double mutant bzip1728 (SALK_004048 & SALK_132285) seedlings, repeat2


title: F_FIP1

value: FIP


title: Sample 10-Week 0-Tempus tube


title: F_DPP4_pos3


title: Sample 10-Week 6-Paxgene tube


title: 10T


title: 5T


title: 4T


title: 3T


title: F_DPP4_pos2


title: wt.root.rp4

description: The underground part (root) of wildtype Arabidopsis Col-0 seedlings, repeat4

value: wildtype Col-0


title: Sample 9-Week 6-Paxgene tube


title: F_DPP4_pos1


title: Sample 9-Week 0-Tempus tube


title: SC7_3 - db/db(A260)

city: Stony Brook

first: Sandeep

last: Mallipattu

state: New York

address: 101 Nicolls Rd

department: Medicine-Nephrology

institute: Stony Brook University

description: nuclear RNA

data_processing:
Illumina software used for basecalling.
CellRanger used for raw processing
Seurat R-package used for further analysis
Genome_build: mm10
Cellbarcode/UMI: R1:28;                              i7 index: 8
Supplementary_files_format_and_content: A xlsx spreadsheet containing normalized expression of genes based on cluster and group

source_name: Kidney Cortex

extract_protocol:
Kidneys were perfused with HBSS and stored in RNALater at -80C. A 2 mm3 section of tissue was rinsed briefly with PBS and minced before adding 1 mL of lysis buffer containing 20 mM Tris-HCl (pH 8), 320 mM sucrose, 5 mM CaCl2, 3 mM MgAc2,  0.1 mM EDTA, and 0.1% TritonX-100. The tissue was initially dissociated by pipetting up and down ~10X with a p-1000 tip and then being passed through a 25G syringe ~10X. The tissue was incubated on ice for 10 minutes and then passed through a 30 µm CellTrics filter. Nuclei were pelleted by centrifugation (5 min, 500g, 4°C) and washed with PBS after removal of supernatant. Nuclei were pelleted again and resuspended in 1 mL of PBS containing 0.04% BSA and RNAse inhibitor (0.2u/µL) before counting by hemocytometer.  Nuclei were then diluted and prepared using the 10X Chromium System according to the manufacturer’s instructions (10X Genomics).
RNA libraries were prepared for sequencing using standard 10X Genomics and Illumina protocols

value: db/db

tag: preparation

value: Single nuclei


title: SC7_4 - Sco2KO/KI(696)

description: nuclear RNA


title: SC7_2 - WT(101)

description: nuclear RNA

value: WT


title: Sample 6-Week 6-Paxgene tube

value: Whole blood


title: wt.root.rp2

description: The underground part (root) of wildtype Arabidopsis Col-0 seedlings, repeat2

value: 13 day-after sowing


title: 2T


title: Sample 6-Week 0-Tempus tube

value: type 1 diabetes


title: 1T


title: SC7_1 - Sco2KO/KI;db/db(E91)

description: nuclear RNA


title: wt.root.rp1

description: The underground part (root) of wildtype Arabidopsis Col-0 seedlings, repeat1


title: F_DPP4_neg1


title: Sample 4-Week 6-Tempus tube

value: Week 6


title: wt.shoot.rp4

description: The aerial part (shoot) of wildtype Arabidopsis Col-0 seedlings, repeat4

value: shoot


title: mDCs CAF.CM+Ab

city: Shenzhen

first: Tuxiong

last: Huang

state: Guangdong

address: 1066 Xueyuan Avenue

institute: Shenzhen University

description:
gene_count_matrix.xlsx
CAF.CM+Ab_vs_CAF.CM_all_anno.txt
R18067113LR01-5

data_processing:
Raw reads were trimmed by Skewer (v0.2.2) to remove adapter sequences and then aligned against reference mouse genome (GRCm38.p5/mm10) by STAR (v2.4.2a).
RSEM (1.2.29) were used to perform expression abundance quantification based on the uniquely mapped reads.
Gene annotation GENCODE M13 were used in above process.
To identify differentially expressed genes (DEGs), edgeR was used and the criteria to define DEGs was |fold change| >= 2 and adjusted p-value < 0.05.
Genome_build: mm10
Supplementary_files_format_and_content: excel files including log2FC values of each gene for comparing two indicated samples based on the FPKM values of each gene and each Sample .
Matrix table with raw gene counts for every gene and every sample

source_name: Dendritic cells

growth_protocol: Bone marrow derived DCs were routinely generated by culture with 10 ng/ml of recombinant mouse IL-4 + 10 ng/ml of recombinant mouse GM-CSF for 7 days.

extract_protocol:
DCs were routinely collected, and RNA was harvested using Trizol reagent. RiboZero methods were used to remove the ribosomal RNA in cytoplasm and mitochondria. Illumina TruSeq Stranded Total RNA Gold Kit (Cat#RS-122-2402) was used with 1 ug of total RNA for the construction of sequencing libraries.
RNA libraries were prepared for sequencing using standard Illumina protocols

treatment_protocol: Untreated or treated with Wnt2, CAF.CM or CAF.CM pre-incubated with Wnt2 Ab

tag: age

value: 4 weeks

value: bone marrow

value: Dendritic cells

value: CAF.CM+Wnt2 Ab


title: mDCs CAF.CM

description:
gene_count_matrix.xlsx
CAF.CM_vs_control_all_anno.txt
CAF.CM+Ab_vs_CAF.CM_all_anno.txt
R18067112LR01-4


title: bz1728.shoot.rp1

description: The aerial part (shoot) of double mutant bzip1728 (SALK_004048 & SALK_132285) seedlings, repeat1


title: F_APC3

value: APC

value: Gonadal white adipose tissue


title: Sample 4-Week 0-Tempus tube

value: Baseline (week 0)


title: wt.shoot.rp3

description: The aerial part (shoot) of wildtype Arabidopsis Col-0 seedlings, repeat3


title: F_APC2

value: PDGFRb+ cells

value: Female


title: wt.shoot.rp2

description: The aerial part (shoot) of wildtype Arabidopsis Col-0 seedlings, repeat2

value: wildtype Col-0


title: Sample 2-Week 0-Tempus tube


title: mDCs Wnt2

description:
gene_count_matrix.xlsx
Wnt2_vs_Control_all_anno.txt
R18067110LR01-2


title: wt.root.rp3

description: The underground part (root) of wildtype Arabidopsis Col-0 seedlings, repeat3

value: root


title: mDCs control

description:
gene_count_matrix.xlsx
Wnt2_vs_Control_all_anno.txt
CAF.CM_vs_control_all_anno.txt
R18067109LR01-1

value: control medium


title: wt.shoot.rp1

description: The aerial part (shoot) of wildtype Arabidopsis Col-0 seedlings, repeat1


title: F_DPP4_neg3

value: DPP4_neg APC

value: Inguinal white adipose tissue


title: Normal_Kidney_Nuclei

city: Lugano

first: Anna

last: Rinaldi

state: Ticino

address: Tesserete

department: Nephrology

country: Switzerland

institute: Ente Ospedaliero Cantonale

data_processing:
Sequencing data were processed by CellRanger (version 3.1.0) and reads were aligned to mouse pre-mRNA reference genome (mm10 v3.0.0) with STAR (v.2.5.1b)
The Cell Ranger cellranger count function output filtered gene–cell expression matrices, removing cell barcodes not represented in cells.
UMI count table utilizing both exonic and intronic reads was generated for downstream analysis.
We excluded nuclei with less than 150 or more than 8,000 genes detectedand with a relatively high percentage of UMIs mapped to mitochondrial genes (>1) and ribosomal genes (>1).
Genome_build: mouse pre-mRNA reference genome (mm10 v3.0.0)
Supplementary_files_format_and_content: Matrix table with raw gene counts for every gene and every sample

source_name: Renal cells

extract_protocol:
Kidney was harvested and directly processed to extract sinlge nuclei and perform single nucleus RNA sequencing using 10X Chromium single cell platform (10X Genomics)
Barcoded single-cell gel beads in emulsion (GEMs) were created by 10x Genomics Chromium TM and then reverse transcribed to generate single-cell RNA-seq libraries using Chromium Single Cell 3’ Library and Gel Bead Kit v2 (10X Genomics) according to manufacturer’s instructions

value: C57BL6/J Pten pc-/-

value: Normal

value: male

value: kidney

value: 10-12 weeks


title: Liver wildtype rep2 RNA [WT_2_RNA]

status: Public on Jan 25 2022

city: Dallas

first: Lara

last: Bideyan

state: TX

address: 5323 Harry Hines Blvd., MC: 9077 Y6.314

department: Internal Medicine

institute: UT Southwestern

data_processing:
For RNA-Seq, aata quality analysis was performed via FastQC
The reads were aligned to the mm10 genome using STAR (version 2.6.0c).
Differential expression analysis was performed with DESeq2 and genes were classified as significantly regulated if adjusted P value < 0.05.
Genes were annotated using biomaRt package in R (https://www.R-project.org/).
For ATAC-Seq, samples were demultiplexed and quality control was done using FastQC.
Cutadapt was used to trim adapters.
Trimmed sequences were aligned to the mm10 mouse genome assembly using bowtie2.
Mitochondrial, unmapped, multi-mapped and duplicate reads were removed using samtools.
Peaks were called using MACS2.
Quantitated across samples using Seqmonk and normalized to million reads per sample.
Peaks were annotated to genomic features and nearest promoter via Homer.
Bam files were merged using samtools. Bedgraphs were created using Homer.
Genome_build: mm10
Supplementary_files_format_and_content: excel file showing the RNA-Seq results from DESeq2
Supplementary_files_format_and_content: csv file showing the normalized counts from RNA-Seq for each gene for each sample obtained from DESeq2
Supplementary_files_format_and_content: Excel file containing the ATAC-Seq quantification of each peak for each sample.
Supplementary_files_format_and_content: Bedgraphs for merged WT and LXRDKO ATAC-Seq samples.

source_name: Liver wildtype

extract_protocol:
For RNA-Seq, total RNA from frozen tissue was extracted through TRIzol (Invitrogen) and Qiagen RNeasy Mini Kit. For ATAC-Seq, Approximately 50 -100 mg of fresh tissue was homogenized via dounce homogenizer in 1 ml of nuclear isolation buffer (20 mM Tris-HCl, 50 mM EDTA, 5 mM Spermidine, 0.15 mM Spermine, 0.1% mercaptoethanol, 40% glycerol, 1mM EGTA, 60 mM KCl, 1% IGEPAL pH 7.5) and filtered through a 40 M nylon filter. Samples were centrifuged at 4 °C at 1000 × g for 10 min and the pellet was resuspended with 1 ml cold resuspension buffer (RSB) (10 mM Tris-HCl, 10 mM NaCl, 3 mM MgCl2, pH 7.4). Approximately 50,000 nuclei from these samples were removed and centrifuged at 4 °C at 500 × g for 5 min. Supernatant was removed and the transposase reaction was performed immediately as described in Buenrosto et al., 2015.
For RNA-Seq, total RNA libraries were made with KAPA Stranded kit with mRNA capture. For ATAC-Seq, size selection was done with AMPure XP magnetic beads. Libraries were quantified by qPCR using NEBNext Library Quant Kit for Illumina

treatment_protocol: Mice were fasted 4 to 6 hours before sacrifice.

tag: strain background

value: 8 weeks old

value: wild type

value: Left lobe of liver


title: Liver LXR double knockout rep1 RNA [LXRDKO_3_RNA]

source_name: Liver LXR double knockout

value: LXRa/b double knockout


title: Liver LXR double knockout rep2 RNA [LXRDKO_4_RNA]


title: F_DPP4_neg2


title: Liver wildtype rep1 RNA [WT_1_RNA]


title: 4KO(quad)-TM rep3

city: Atlanta

first: Svetlana

last: Atasheva

state: Georgia

address: 1760 Haygood Dr

department: Pediatrics

institute: Emory University

description:
each sample was run in 3 lanes in flow cell
C57-quad-TM.txt

data_processing:
Alignment of the read was done in DNASTAR software in the Nonhuman primate genomics core at Yerkes National Primate Research Center
The aligned *bam files were uploaded to SeqMonk (Babraham Bioinformatics) program for further analysis and quantification. Quantification of the reads was performed using the RNA-Seq quantification pipeline in SeqMonk.
Differential expression was analyzed using DESeq2 plugin within SeqMonk using raw expression values. The cut-off for Benjamini-Hochberg adjusted p-value was set at <0.05. The differentially expressed genes were further filtered for those with 2-fold and more difference in expression in TM-treated samples compared to DMSO-treated BMDM resulting in downregulated and upregulated gene sets.
To test whether TM treatment has a different effect in 4KO BMDM we used gene set enrichment analysis software (GSEA, Broad Institute)
To understand the landscape of the changes in the pathways deregulated by TM treatment in BMDM we used GSEA and ran the datasets against a combination of Biocarta and Reactome gene sets from MSigDB C2 collection (Broad Institute) with 1000 gene set permutations. The cut-off was selected at FDR<0.0001.
To analyze the enrichment of gene sets in Kupffer cells the GSEA analysis was run on a preranked gene list that was derived from the expression values (RPKM) in Kupffer cells.
Genome_build: mm10
Supplementary_files_format_and_content: RPKM values for all genes for control and TM treated BMDM -C57-quad-TM.txt, RPKM values for Kupffer cells KC.txt, GSEA report for enrichment analysis on C57-TM vs DMSO treatment - gsea_report_for_DMSO_1509470717114.xls,gsea_report_for_TM_1509470717114.xls, GSEA report for enrichment for Kupffer cells gsea_report_for_na_neg_1509474081782.xls, gsea_report_for_na_pos_1509474081782.xls

source_name: marrow

growth_protocol: Bone marrow cells were harvested from femurs of mice. Marrow cells were re-suspended in DMEM media supplemented with 10% FBS (Life Technologies, Carlsbad, CA), 1×pencillin/ streptomycin (Life Technologies, Carlsbad, CA) and 40ng/ml of macrophage colony–stimulating factor, mouse M-CSF (R&D, Minneapolis, MN). After 6 days differentiation, bone marrow derived macrophages (BMDM) were retrieved and plated on FBS pre-treated 4-well glass bottom slides (Thermo Fisher Scientific Inc, Suwanee, GA) at 2-2.2× 105 cell/well. KUPFFER cells were isolated from 5 C57Bl6 mice using collagenase, they were not subjected to any treatment, immediately frozen and submitted for further processing

extract_protocol:
Total RNA was extracted using the RNeasy kit (Qiagen, CA).
Libraries were prepared using the Illumina (Illumina Inc. San Diego, CA, USA) TruSeq™ mRNA stranded kit as per manufacturer’s instructions. Briefly, 500-1000 ng of total RNA was used for library preparation. ERCC (Ambion) synthetic spike-in 1 or 2 was added to each Total RNA sample and processed in parallel. The TruSeq method (high-throughput protocol) employs two rounds of poly-A based mRNA enrichment using oligo-dT magnetic beads followed by mRNA fragmentation (120-200 bp) using cations at high temperature. First and second strand cDNA synthesis was performed followed by end repair of the blunt cDNA ends. One single “A” base was added at the 3’ end of the cDNA followed by ligation of barcoded adapter unique to each sample. The adapter-ligated libraries were then enriched using PCR amplification. The amplified library was validated using a DNA tape on the Agilent 4200 TapeStation and quantified using fluorescence based method. The libraries were normalized and pooled and clustered on the HiSeq3000/4000 flowcell on the Illumina cBot. The clustered flowcell was then sequenced on the Illumina HiSeq3000 system employing a single-end 101 cycles run.

treatment_protocol: One day after seeding, culture media were changed with phenol-red free DMEM with 20ng/ml of M-CSF in the presence of DMSO or 0.5µg/ml of tunicamycin (Sigma) for 6 hrs, Kupffer cells were not subjected to any treatment

value: bone marrow derived macrophages


title: 4KO(quad)-TM rep4


title: 4KO(quad)-TM rep1


title: 4KO(quad)-DMSO rep4


title: 4KO(quad)-DMSO rep2


title: 4KO(quad)-DMSO rep1


title: C57-TM rep4

description:
each sample was run in 3 lanes in flow cell
C57-quad-TM.txt
gsea_report_for_TM_1509470717114.xls
gsea_report_for_TM_1509470717114.xls


title: C57-TM rep3


title: C57-TM rep2


title: C57-DMSO rep4

description:
each sample was run in 3 lanes in flow cell
C57-quad-TM.txt
gsea_report_for_DMSO_1509470717114.xls,
gsea_report_for_TM_1509470717114.xls


title: C57-TM rep1


title: C57-DMSO rep3


title: C57-DMSO rep2


title: Sample 2-Week 6-Tempus tube

value: Whole blood

value: type 1 diabetes

value: Week 6


title: F_APC1

value: PDGFRb+ cells

value: APC

value: Gonadal white adipose tissue

value: Female


title: C57-DMSO rep1


title: SHOOT-HP replication 2

city: Wuhan

first: Bin

middle: jie

last: Gu

address: No. 152 Luoyu Road

institute: Hubei Key Laboratory of Genetic Regulation and Integrative Biology

data_processing:
Use qubit2 0 for preliminary quantification. Agilent 2100 is used to detect the insert size of the library. The next experiment can be carried out only after the insert size meets the expectation.
The effective concentration of the library was accurately quantified by Q-PCR (the effective concentration of the library was > 2nm), and the library inspection was completed.
After passing the library inspection, different libraries were pooled according to the target amount of offline data, and sequenced on illuminahiseq platform.
Supplementary_files_format_and_content: Based on sequencing by synthesis (SBS) technology, Illumina hiseq high-throughput sequencing platform sequenced the cDNA library and produced a large amount of high-quality data, called raw data. Most of its base quality scores can reach or exceed q30.

organism: Brassica napus

source_name: SHOOT-HP replication 2

growth_protocol: two-week-old plants

extract_protocol:
The RNA-seq analysis was carried out by Biomarker (Beijing). A total of 16 RNA samples were sequenced using the Illumina HiSeq 2,000 platform (Illumina, USA). The transcript abundance (FPKM value) was calculated based on the length of the gene and the reads mapped gene.
RNA libraries were prepared for sequencing using standard Illumina protocols

treatment_protocol: cultured in 1 mM and 1 μM Pi liquid medium for 24 h

tag: group

value: HP

value: shoot

value: two-week-old plants


title: SHOOT-LP replication 1

source_name: SHOOT-LP replication 1

value: LP


title: ROOT-LP replication 2

source_name: ROOT-LP replication 2

value: root


title: SHOOT-HP replication 1

source_name: SHOOT-HP replication 1


title: ROOT-HP replication 2

source_name: ROOT-HP replication 2


title: ROOT-HP replication 1

source_name: ROOT-HP replication 1


title: T1-3

city: Nanjing

first: Congcong

last: Xu

state: Jiangsu

address: 12 Jiangwangmiao Street

institute: Institute of Dermatology, Chinese Academy of Medical Sciences and Peking Union Medical College

data_processing:
Basecalls performed using  Solexa pipeline v1.8
The trimmed reads (trimmed 5’,3’-adaptor bases using cutadapt) were aligned to reference genome using Hisat2 (2.0.5)software
The transcript abundances for each sample was estimated with StringTie（1.3.1c）
the FPKM value for gene and transcript level were calculated with R package Ballgown (v2.6.0)
Genome_build: hg19
Supplementary_files_format_and_content: FPKM

growth_protocol: A431 cells were cultured in Dulbecco's Modified Eagle Medium supplemented with 10% fetal bovine serum at 37 °C in a cell incubator containing 5% CO2.

extract_protocol:
RNA was harvested using Trizol reagent. Illumina TruSeq RNA Sample Prep Kit (Cat#FC-122-1001) was used with 1 ug of total RNA for the construction of sequencing libraries.
The total RNA was processed by NEBNext® Poly(A) mRNA Magnetic Isolation Module (or rRNA removal by RiboZero Magnetic Gold Kit) to enrich mRNA, and the product RNA was used for construction Library, via KAPA Stranded RNA-Seq Library Prep Kit (Illumina). Sequencing libraries, denatured by 0.1 M NaOH to generate single-stranded DNA, as amplified in situ Illumina cBot (TruSeq SR Cluster Kit v3-cBot-HS (# GD-401-3001, Illumina)). The ends of the generated fragments was used to run 150 Cycles by the Illumina HiSeq 4000 Sequencer.
RNA libraries were prepared for sequencing using standard Illumina Hiseq protocols.

treatment_protocol: A431 cells were grown to 70%-80% confluence in cell culture plates or dishes, and treated with 1μM itraconazole for 48h.

tag: cell line

tag: agent

value: itraconazole


title: 4KO(quad)-TM rep2


title: T1-2


title: ROOT-LP replication 1

source_name: ROOT-LP replication 1


title: SHOOT-LP replication 2

source_name: SHOOT-LP replication 2


title: T1-1


title: C0-3

value: control


title: C0-1


title: 4KO(quad)-DMSO rep3


title: circRNA EC109_AR2_DeAD_3

city: Singapore

first: Polly Leilei

last: Chen

address: #12-01, MD6, 14 Medical Drive

department: Department of Anatomy

country: Singapore

institute: Cancer Science Institute of Singapore NUS

description: circRNA-Seq

data_processing:
Clean raw reads were mapped to the reference human genome (hg19) by using STAR with the chimeric junction reads option on (--chimSegmentMin 20).
The gtf file from the GENCODE (gencode.v27lift37.annotation.gtf) was used for the gene and junction annotations.
The expression of the circRNAs were quantified as read counts that map to the junctions.
To identify circRNAs regulated by ADAR1/2 in editing-dependent manner, the below criteria were applied:
1. Total reads in (EV + ADAR-DeAD OE) >= 10
2. The resulted list of circRNAs was overlapped with ADARs_regulated_circRNAs_KD_and_OE.xlsx
3. If a circRNA is regulated by ADAR1/2 in editing dependent manner, there is no or minor change (0.8 < fold change < 1.25) in expression between the EV and DeAD-overexpressing cells or the pattern of change in expression upon overexpression of DeAD mutants is opposite to that of the wildtype ADAR1/2 when compared to the EV control. The rest are editing-independent regulated circRNAs.
which resulted in 767 editing-dependent circRNAs for further analysis.
Genome_build: hg19
Supplementary_files_format_and_content: spreadsheet file including circRNA events regulated by ADAR1/2 in editing-dependent manner and their expression quantification as read counts. The above filters must be applied on this list to obtain the DE circRNAs.

source_name: human esophageal squamous carcinoma cells

extract_protocol:
circular RNA samples were extracted using Qiagen Rneasy Mini Kit and subjected to rRNA depletion and RNase R treatment to digest all the linear RNAs.
cDNA library according to Illumina's TruSeq Library Prep Kit using a modified protocol.

treatment_protocol: Human ESCC cells were transfected with expression construct for overexpressing catalytic mutants of ADAR1 or ADAR2.

value: ADAR2-DeAD overexpression


title: circRNA EC109_EV_3

description: circRNA-Seq

value: human esophageal squamous carcinoma cells

value: empty vector control


title: circRNA EC109_EV_II

description: circRNA-Seq


title: circRNA EC109_AR1_DeAD_II

description: circRNA-Seq

value: ADAR1-DeAD overexpression


title: Naïve_BNT162b_25_Day0

city: Bethesda

first: Hye Kyung

last: Lee

state: MD

address: 8 CENTER DR RM 107

department: National Institute of Diabetes and Digestive and Kidney (NIDDK)

institute: National Institutes of Health (NIH)

data_processing:
RNA-seq data were trimmed using trimmomatic (Bolger et al., Bioinformatics, 2014) and subsequently aligned to the reference genome hg19 applying STAR RNA-seq aligner (Dobin et al., Bioinformatics, 2013). HTSeq(Anders et al., Bioinformatics, 2015) was applied for obtain HTSeq counts.
HTSeq(Anders et al., Bioinformatics, 2015) was applied for obtain HTSeq counts.
Genome_build: hg19
Supplementary_files_format_and_content: HTSeq counts from RNA-seq samples

source_name: PBMCs

growth_protocol: Blood samples were collected from the COVID-19 patients infected by Beta variant and the Naïve vaccinated individuals.

extract_protocol:
The buffy coat was extracted by centrifuge after blood sample collection and RBC was removed using RBC lysis buffer in the buffy coat. Total RNA was isolated using a Maxwell RSC simply RNA Blood purification kit.
Libraries for sequencing were prepared with TruSeq Stranded mRNA Kit following standard Illumina protocols.

tag: gender

tag: diseas state

value: COVID-19 Naïve_Vaccinated

tag: severity

tag: geographical location

value: Ischgl, Austria

value: PBMC


title: Naïve_BNT162b_23_Day7


title: Naïve_BNT162b_22_Day7

value: Male


title: Naïve_BNT162b_25_Day10


title: Naïve_BNT162b_23_Day0


title: Naïve_BNT162b_20_Day0


title: Naïve_BNT162b_21_Day11


title: Naïve_BNT162b_21_Day0


title: Naïve_BNT162b_20_Day10


title: Naïve_BNT162b_19_Day7


title: Naïve_BNT162b_15_Day7


title: Beta-S24_3rd

value: COVID-19_Beta varient


title: Naïve_BNT162b_19_Day0

value: Female


title: Beta-S14_1st

value: moderate


title: Beta-S14_2nd


title: Naïve_BNT162b_16_Day7


title: C0-2


title: Naïve_BNT162b_16_Day0


title: Beta-S07_1st

value: severe


title: Beta-S06_2nd


title: Beta-S06_1st


title: Beta-S07_2nd


title: Beta-S24_2nd


title: Beta-S07_3rd


title: Beta-S05_2nd


title: Beta-S06_3rd


title: Beta-S05_3rd


title: Beta-S05_1st


title: Beta-S03_3rd


title: Beta-S02_3rd


title: Beta-S04_1st


title: Beta-S03_2nd


title: Naïve_BNT162b_22_Day0


title: Beta-S02_2nd


title: Beta-S02_1st


title: Beta-S01_3rd


title: Beta-S01_2nd


title: Naïve_BNT162b_15_Day0


title: Beta-S01_1st


title: Beta-S24_1st


title: sgRNA-enrichment_20k-sgRNAs_Lane5_NovaSeq

first: Yihan

last: Wang

state: Texas

address: 5323 Harry Hines Blvd.

data_processing:
custom pipeline
Mapping and library combination were performed by using 10X Cellranger V3.1.0
Genome_build: hg38
Supplementary_files_format_and_content: summary of UMI count of each sgRNA for every cell barcode

source_name: MDA-MB-231 cells

growth_protocol: MDA-MB-231 cells were cultured in alpha modified MEM plus 10% FBS, 1mM sodium pyruvate, 10mM HEPES, 1X Glutamax supplement, 1X MEM non-essential amino acid, 1 mg/mL insulin, 1ng/mL hydrocortisone, 25 ug/mL EGF and pen/strep at 37C and 5% CO2.

extract_protocol:
Cells were collected, washed once with PBS. Then the cells were stained with Cell Hashing antibodies and resuspended in PBS containing 0.05% BSA to the desired concentration and immediately load on the 10X Chromium controller for the single-cell RNA-seq preparation.
For single-cell library preparation, we follow the standard protocol of 10X Chromium 3’ V3 kit. After the cDNA amplification, 50ng of samples were separated for the sgRNA enrichment library preparation.

treatment_protocol: A lentivirus library containing 20139 sgRNAs was constructed and packaged by transfecting HEK293T cells. The virus was collected 48 hours after transfection and concentrated by using Lenti-X lentivirus concentrator. For virus infection, 5X10^4 MDA-MB-231 cells were seeded in 24 well plate per well with 500 µl complete medium plus 1µg/ml polybrene. The following day, the medium was changed to fresh complete medium with antibiotics to screen for infected cells.

value: MDA-MB-231 cells

tag: experiment

value: Single-cell Expression, sgRNA enrichment

tag: lane


title: sgRNA-enrichment_20k-sgRNAs_Lane3_NovaSeq


title: sgRNA-enrichment_20k-sgRNAs_Lane6_NovaSeq


title: sgRNA-enrichment_20k-sgRNAs_Lane1_NovaSeq


title: sgRNA-enrichment_20k-sgRNAs_Lane2_NovaSeq


title: MDA-MB-231-YWsg1P1_Lane3_NovaSeq

data_processing:
Basecalls performed 10X Cellranger V3.1.0
Mapping and library combination were performed by using 10X Cellranger V3.1.0
Genome_build: hg38
Supplementary_files_format_and_content: sample matrix in hdf5 format

value: Single-cell Expression, transcriptome


title: MDA-MB-231-YWsg1P1_Lane5_NovaSeq


title: MDA-MB-231-YWsg1P1_Lane6_NovaSeq


title: MDA-MB-231-YWsg1P1_Lane4_NovaSeq


title: MDA-MB-231-YWsg1P1_Lane2_NovaSeq


title: MDA-MB-231-YWsg1P1_Lane1_NovaSeq


title: iDART_SMART-seq APOBEC1-YTHmut Cell 412

first: Matthew

last: Tegowski

state: NC

address: 153 Research Dr.

department: Biochemistry

data_processing:
Alignment to hg38 and UMI deduplication using Cell Ranger 3.1.0 (10x Genomics scRNA-seq samples only)
SMART-seq2 and bulk RNAseq samples: Trimming of adaptor sequences (Flexbar 3.0.3)
SMART-seq2 and bulk RNAseq samples:  Alignment using STAR 2.7.5c, and deduplication using SAMtools (1.11) fixmate and markdup
All samples: Identification of m6A sites using Bullseye
All samples: Expression normalization and integrated clustering of cells using Seurat (3.2.1)
Genome_build: hg38
Supplementary_files_format_and_content: Bed files for bulk RNAare a list of m6A sites identified within each replicate using Bullseye. High confidence m6A sites in paper were a result of keeping only these sites that occur in at least 2 of 3 APOBEC1-YTH replicates
Supplementary_files_format_and_content: a bed file consisting of APOBEC1-mediated C-to-U editing sites identified by downstream analysis

source_name: Kidney

growth_protocol: HEK293T cells expressing APOBEC1-YTH or APOBEC1-YTHmut (iDART cells) were cultured in DMEM +10% FBS with penicillin/streptomycin.

extract_protocol:
SMART-seq2 cells: Single cells were sorted using a FACS Aria II (BD) directly into lysis buffer provided with the SMART-seq HT Kit (Takara, Cat. 634438). The SMART-seq HT Kit was then used for reverse transcription and cDNA amplification. Sequencing libraries were constructed from cDNA using the Nextera XT kit (Illumina, FC-131-1096) and dual Nextera-compatible CDI indexes from IDT. Samples were pooled and sequenced targeting 5,000,000 reads/library (150bp paried-end) on a Novaseq6000 using the S4 flowcell.   10X Genomics cells: A single cell suspension was prepared according to manufacturer's instruction for Chromium v3 3' end sequencing (10x Genomics, Manual Part #CG00053). Samples were sequenced targeting 80,000 reads per cell on a Novaseq6000 using the S1 flowcell.  Bulk RNA-seq: Trizol was used to extract total RNA from iDART cells. The UltraII Directional RNA Library Prep Kit (NEB, E7760) with NEBNext Poly(A) mRNA Magnetic Isolation Module (NEB, 7490) was used to generate sequencing libraries using 900ng of input RNA. The samples were sequenced targeting ~30 million reads (50bp paired-end sequencing) per sample on a Novaseq6000 using the S1 flowcell.
SMART-seq2 scRNA-seq: cDNA libraries were generated using the SMART-seq HT Kit (Takara, Cat. 634438). Final libraries were prepared using Nextera XT DNA Library Prep Kit (Illumina, FC-131-1096).   10x scRNA-seq: Libraries were generated from a single cell suspension using the 10x Genomics NextGEM Single Cell 3' Kit, v3.1 chemistry (10x Genomics)  Bulk-RNA seq: The UltraII Directional RNA Library Prep Kit (NEB, E7760) with NEBNext Poly(A) mRNA Magnetic Isolation Module (NEB, 7490) was used to generate sequencing libraries using 900ng of input RNA.

treatment_protocol: When cells were 60-70% confluent, iDART cells were treated with 1µg/µL doxycycline for 24 hours for bulk RNA-seq, 10x Genomics scRNA-seq, and SMART-seq2 scRNA-seq

value: HEK293T Cells

tag: transgene

tag: treatment

value: 1microg/mL doxycycline; 24 hours


title: iDART_SMART-seq APOBEC1-YTHmut Cell 413


title: iDART_SMART-seq APOBEC1-YTHmut Cell 415


title: iDART_SMART-seq APOBEC1-YTHmut Cell 414


title: iDART_SMART-seq APOBEC1-YTHmut Cell 411


title: Beta-S03_1st

value: mild


title: iDART_SMART-seq APOBEC1-YTHmut Cell 409


title: iDART_SMART-seq APOBEC1-YTHmut Cell 407


title: iDART_SMART-seq APOBEC1-YTHmut Cell 408


title: iDART_SMART-seq APOBEC1-YTHmut Cell 410


title: iDART_SMART-seq APOBEC1-YTHmut Cell 406


title: iDART_SMART-seq APOBEC1-YTHmut Cell 404


title: iDART_SMART-seq APOBEC1-YTHmut Cell 405


title: iDART_SMART-seq APOBEC1-YTHmut Cell 403


title: iDART_SMART-seq APOBEC1-YTHmut Cell 402


title: iDART_SMART-seq APOBEC1-YTHmut Cell 401


title: iDART_SMART-seq APOBEC1-YTHmut Cell 399


title: iDART_SMART-seq APOBEC1-YTHmut Cell 400


title: sgRNA-enrichment_20k-sgRNAs_Lane4_NovaSeq


title: iDART_SMART-seq APOBEC1-YTHmut Cell 398


title: iDART_SMART-seq APOBEC1-YTHmut Cell 395


title: iDART_SMART-seq APOBEC1-YTHmut Cell 394


title: iDART_SMART-seq APOBEC1-YTHmut Cell 396


title: iDART_SMART-seq APOBEC1-YTHmut Cell 392


title: iDART_SMART-seq APOBEC1-YTHmut Cell 393


title: iDART_SMART-seq APOBEC1-YTHmut Cell 391


title: iDART_SMART-seq APOBEC1-YTHmut Cell 397


title: iDART_SMART-seq APOBEC1-YTHmut Cell 390


title: iDART_SMART-seq APOBEC1-YTHmut Cell 388


title: iDART_SMART-seq APOBEC1-YTHmut Cell 387


title: iDART_SMART-seq APOBEC1-YTHmut Cell 385


title: iDART_SMART-seq APOBEC1-YTHmut Cell 381


title: iDART_SMART-seq APOBEC1-YTHmut Cell 382


title: iDART_SMART-seq APOBEC1-YTHmut Cell 386


title: iDART_SMART-seq APOBEC1-YTHmut Cell 378


title: iDART_SMART-seq APOBEC1-YTHmut Cell 380


title: iDART_SMART-seq APOBEC1-YTHmut Cell 383


title: iDART_SMART-seq APOBEC1-YTHmut Cell 379


title: iDART_SMART-seq APOBEC1-YTHmut Cell 376


title: iDART_SMART-seq APOBEC1-YTHmut Cell 377


title: iDART_SMART-seq APOBEC1-YTHmut Cell 375


title: iDART_SMART-seq APOBEC1-YTHmut Cell 373


title: iDART_SMART-seq APOBEC1-YTHmut Cell 374


title: iDART_SMART-seq APOBEC1-YTHmut Cell 372


title: iDART_SMART-seq APOBEC1-YTHmut Cell 370


title: iDART_SMART-seq APOBEC1-YTHmut Cell 371


title: iDART_SMART-seq APOBEC1-YTHmut Cell 369


title: iDART_SMART-seq APOBEC1-YTHmut Cell 367


title: iDART_SMART-seq APOBEC1-YTHmut Cell 389


title: iDART_SMART-seq APOBEC1-YTHmut Cell 364


title: iDART_SMART-seq APOBEC1-YTHmut Cell 363


title: iDART_SMART-seq APOBEC1-YTHmut Cell 365


title: iDART_SMART-seq APOBEC1-YTHmut Cell 362


title: iDART_SMART-seq APOBEC1-YTHmut Cell 357


title: iDART_SMART-seq APOBEC1-YTHmut Cell 359


title: iDART_SMART-seq APOBEC1-YTHmut Cell 358


title: iDART_SMART-seq APOBEC1-YTHmut Cell 384


title: iDART_SMART-seq APOBEC1-YTHmut Cell 354


title: iDART_SMART-seq APOBEC1-YTHmut Cell 353


title: iDART_SMART-seq APOBEC1-YTHmut Cell 355


title: iDART_SMART-seq APOBEC1-YTHmut Cell 350


title: iDART_SMART-seq APOBEC1-YTHmut Cell 348


title: iDART_SMART-seq APOBEC1-YTHmut Cell 351


title: iDART_SMART-seq APOBEC1-YTHmut Cell 347


title: iDART_SMART-seq APOBEC1-YTHmut Cell 349


title: iDART_SMART-seq APOBEC1-YTHmut Cell 346


title: iDART_SMART-seq APOBEC1-YTHmut Cell 345


title: iDART_SMART-seq APOBEC1-YTHmut Cell 344


title: iDART_SMART-seq APOBEC1-YTHmut Cell 342


title: iDART_SMART-seq APOBEC1-YTHmut Cell 341


title: iDART_SMART-seq APOBEC1-YTHmut Cell 340


title: iDART_SMART-seq APOBEC1-YTHmut Cell 368


title: iDART_SMART-seq APOBEC1-YTHmut Cell 366


title: iDART_SMART-seq APOBEC1-YTHmut Cell 339


title: iDART_SMART-seq APOBEC1-YTHmut Cell 361


title: iDART_SMART-seq APOBEC1-YTHmut Cell 360


title: iDART_SMART-seq APOBEC1-YTHmut Cell 335


title: iDART_SMART-seq APOBEC1-YTHmut Cell 336


title: iDART_SMART-seq APOBEC1-YTHmut Cell 334


title: iDART_SMART-seq APOBEC1-YTHmut Cell 333


title: iDART_SMART-seq APOBEC1-YTHmut Cell 332


title: iDART_SMART-seq APOBEC1-YTHmut Cell 331


title: iDART_SMART-seq APOBEC1-YTHmut Cell 328


title: iDART_SMART-seq APOBEC1-YTHmut Cell 329


title: iDART_SMART-seq APOBEC1-YTHmut Cell 356


title: iDART_SMART-seq APOBEC1-YTHmut Cell 327


title: iDART_SMART-seq APOBEC1-YTHmut Cell 330


title: iDART_SMART-seq APOBEC1-YTHmut Cell 326


title: iDART_SMART-seq APOBEC1-YTHmut Cell 325


title: iDART_SMART-seq APOBEC1-YTHmut Cell 321


title: iDART_SMART-seq APOBEC1-YTHmut Cell 352


title: iDART_SMART-seq APOBEC1-YTHmut Cell 322


title: iDART_SMART-seq APOBEC1-YTHmut Cell 323


title: iDART_SMART-seq APOBEC1-YTHmut Cell 320


title: iDART_SMART-seq APOBEC1-YTHmut Cell 324


title: iDART_SMART-seq APOBEC1-YTHmut Cell 319


title: iDART_SMART-seq APOBEC1-YTHmut Cell 318


title: iDART_SMART-seq APOBEC1-YTHmut Cell 343


title: iDART_SMART-seq APOBEC1-YTHmut Cell 316


title: iDART_SMART-seq APOBEC1-YTHmut Cell 317


title: iDART_SMART-seq APOBEC1-YTHmut Cell 314


title: iDART_SMART-seq APOBEC1-YTHmut Cell 313


title: iDART_SMART-seq APOBEC1-YTHmut Cell 310


title: iDART_SMART-seq APOBEC1-YTHmut Cell 312


title: iDART_SMART-seq APOBEC1-YTHmut Cell 338


title: iDART_SMART-seq APOBEC1-YTHmut Cell 337


title: iDART_SMART-seq APOBEC1-YTHmut Cell 315


title: iDART_SMART-seq APOBEC1-YTHmut Cell 309


title: iDART_SMART-seq APOBEC1-YTHmut Cell 306


title: iDART_SMART-seq APOBEC1-YTHmut Cell 308


title: iDART_SMART-seq APOBEC1-YTHmut Cell 303


title: iDART_SMART-seq APOBEC1-YTHmut Cell 307


title: iDART_SMART-seq APOBEC1-YTHmut Cell 305


title: iDART_SMART-seq APOBEC1-YTHmut Cell 304


title: iDART_SMART-seq APOBEC1-YTHmut Cell 300


title: iDART_SMART-seq APOBEC1-YTHmut Cell 302


title: iDART_SMART-seq APOBEC1-YTHmut Cell 298


title: iDART_SMART-seq APOBEC1-YTHmut Cell 301


title: iDART_SMART-seq APOBEC1-YTHmut Cell 299


title: iDART_SMART-seq APOBEC1-YTHmut Cell 297


title: iDART_SMART-seq APOBEC1-YTHmut Cell 296


title: iDART_SMART-seq APOBEC1-YTHmut Cell 294


title: iDART_SMART-seq APOBEC1-YTHmut Cell 295


title: iDART_SMART-seq APOBEC1-YTHmut Cell 291


title: iDART_SMART-seq APOBEC1-YTHmut Cell 292


title: iDART_SMART-seq APOBEC1-YTHmut Cell 290


title: iDART_SMART-seq APOBEC1-YTHmut Cell 289


title: iDART_SMART-seq APOBEC1-YTHmut Cell 287


title: iDART_SMART-seq APOBEC1-YTHmut Cell 288


title: iDART_SMART-seq APOBEC1-YTHmut Cell 286


title: iDART_SMART-seq APOBEC1-YTHmut Cell 284


title: iDART_SMART-seq APOBEC1-YTHmut Cell 285


title: iDART_SMART-seq APOBEC1-YTHmut Cell 283


title: iDART_SMART-seq APOBEC1-YTHmut Cell 281


title: iDART_SMART-seq APOBEC1-YTHmut Cell 282


title: iDART_SMART-seq APOBEC1-YTHmut Cell 311


title: iDART_SMART-seq APOBEC1-YTHmut Cell 280


title: iDART_SMART-seq APOBEC1-YTHmut Cell 279


title: iDART_SMART-seq APOBEC1-YTHmut Cell 278


title: iDART_SMART-seq APOBEC1-YTHmut Cell 275


title: iDART_SMART-seq APOBEC1-YTHmut Cell 277


title: iDART_SMART-seq APOBEC1-YTHmut Cell 273


title: iDART_SMART-seq APOBEC1-YTHmut Cell 272


title: iDART_SMART-seq APOBEC1-YTHmut Cell 271


title: iDART_SMART-seq APOBEC1-YTHmut Cell 267


title: iDART_SMART-seq APOBEC1-YTHmut Cell 266


title: iDART_SMART-seq APOBEC1-YTHmut Cell 270


title: iDART_SMART-seq APOBEC1-YTHmut Cell 265


title: iDART_SMART-seq APOBEC1-YTHmut Cell 269


title: iDART_SMART-seq APOBEC1-YTHmut Cell 268


title: iDART_SMART-seq APOBEC1-YTHmut Cell 262


title: iDART_SMART-seq APOBEC1-YTHmut Cell 263


title: iDART_SMART-seq APOBEC1-YTHmut Cell 264


title: iDART_SMART-seq APOBEC1-YTHmut Cell 293


title: iDART_SMART-seq APOBEC1-YTHmut Cell 261


title: iDART_SMART-seq APOBEC1-YTHmut Cell 260


title: iDART_SMART-seq APOBEC1-YTHmut Cell 258


title: iDART_SMART-seq APOBEC1-YTHmut Cell 259


title: iDART_SMART-seq APOBEC1-YTHmut Cell 257


title: iDART_SMART-seq APOBEC1-YTHmut Cell 255


title: iDART_SMART-seq APOBEC1-YTHmut Cell 254


title: iDART_SMART-seq APOBEC1-YTHmut Cell 252


title: iDART_SMART-seq APOBEC1-YTHmut Cell 251


title: iDART_SMART-seq APOBEC1-YTHmut Cell 253


title: iDART_SMART-seq APOBEC1-YTHmut Cell 250


title: iDART_SMART-seq APOBEC1-YTHmut Cell 249


title: iDART_SMART-seq APOBEC1-YTHmut Cell 248


title: iDART_SMART-seq APOBEC1-YTHmut Cell 247


title: iDART_SMART-seq APOBEC1-YTHmut Cell 244


title: iDART_SMART-seq APOBEC1-YTHmut Cell 243


title: iDART_SMART-seq APOBEC1-YTHmut Cell 246


title: iDART_SMART-seq APOBEC1-YTHmut Cell 274


title: iDART_SMART-seq APOBEC1-YTHmut Cell 245


title: iDART_SMART-seq APOBEC1-YTHmut Cell 276


title: iDART_SMART-seq APOBEC1-YTHmut Cell 242


title: iDART_SMART-seq APOBEC1-YTHmut Cell 241


title: iDART_SMART-seq APOBEC1-YTHmut Cell 240


title: iDART_SMART-seq APOBEC1-YTHmut Cell 235


title: iDART_SMART-seq APOBEC1-YTHmut Cell 236


title: iDART_SMART-seq APOBEC1-YTHmut Cell 234


title: iDART_SMART-seq APOBEC1-YTHmut Cell 237


title: iDART_SMART-seq APOBEC1-YTHmut Cell 238


title: iDART_SMART-seq APOBEC1-YTHmut Cell 232


title: iDART_SMART-seq APOBEC1-YTHmut Cell 230


title: iDART_SMART-seq APOBEC1-YTHmut Cell 233


title: iDART_SMART-seq APOBEC1-YTHmut Cell 231


title: iDART_SMART-seq APOBEC1-YTHmut Cell 229


title: iDART_SMART-seq APOBEC1-YTHmut Cell 228


title: iDART_SMART-seq APOBEC1-YTHmut Cell 224


title: iDART_SMART-seq APOBEC1-YTHmut Cell 227


title: iDART_SMART-seq APOBEC1-YTHmut Cell 226


title: iDART_SMART-seq APOBEC1-YTHmut Cell 225


title: iDART_SMART-seq APOBEC1-YTHmut Cell 223


title: iDART_SMART-seq APOBEC1-YTHmut Cell 256


title: iDART_SMART-seq APOBEC1-YTHmut Cell 222


title: iDART_SMART-seq APOBEC1-YTHmut Cell 221


title: iDART_SMART-seq APOBEC1-YTHmut Cell 220


title: iDART_SMART-seq APOBEC1-YTHmut Cell 216


title: iDART_SMART-seq APOBEC1-YTHmut Cell 217


title: iDART_SMART-seq APOBEC1-YTHmut Cell 219


title: iDART_SMART-seq APOBEC1-YTHmut Cell 214


title: iDART_SMART-seq APOBEC1-YTHmut Cell 213


title: iDART_SMART-seq APOBEC1-YTHmut Cell 212


title: iDART_SMART-seq APOBEC1-YTHmut Cell 210


title: iDART_SMART-seq APOBEC1-YTHmut Cell 211


title: iDART_SMART-seq APOBEC1-YTHmut Cell 239


title: iDART_SMART-seq APOBEC1-YTHmut Cell 208


title: iDART_SMART-seq APOBEC1-YTHmut Cell 209


title: iDART_SMART-seq APOBEC1-YTHmut Cell 207


title: iDART_SMART-seq APOBEC1-YTHmut Cell 206


title: iDART_SMART-seq APOBEC1-YTHmut Cell 205


title: iDART_SMART-seq APOBEC1-YTHmut Cell 204


title: iDART_SMART-seq APOBEC1-YTHmut Cell 203


title: iDART_SMART-seq APOBEC1-YTHmut Cell 202


title: iDART_SMART-seq APOBEC1-YTHmut Cell 201


title: iDART_SMART-seq APOBEC1-YTHmut Cell 200


title: iDART_SMART-seq APOBEC1-YTHmut Cell 198


title: iDART_SMART-seq APOBEC1-YTHmut Cell 197


title: iDART_SMART-seq APOBEC1-YTHmut Cell 199


title: iDART_SMART-seq APOBEC1-YTHmut Cell 195


title: iDART_SMART-seq APOBEC1-YTHmut Cell 194


title: iDART_SMART-seq APOBEC1-YTHmut Cell 193


title: iDART_SMART-seq APOBEC1-YTHmut Cell 192


title: iDART_SMART-seq APOBEC1-YTHmut Cell 189


title: iDART_SMART-seq APOBEC1-YTHmut Cell 190


title: iDART_SMART-seq APOBEC1-YTHmut Cell 191


title: iDART_SMART-seq APOBEC1-YTHmut Cell 187


title: iDART_SMART-seq APOBEC1-YTHmut Cell 185


title: iDART_SMART-seq APOBEC1-YTHmut Cell 186


title: iDART_SMART-seq APOBEC1-YTHmut Cell 218


title: iDART_SMART-seq APOBEC1-YTHmut Cell 215


title: iDART_SMART-seq APOBEC1-YTHmut Cell 184


title: iDART_SMART-seq APOBEC1-YTHmut Cell 180


title: iDART_SMART-seq APOBEC1-YTHmut Cell 181


title: iDART_SMART-seq APOBEC1-YTHmut Cell 182


title: iDART_SMART-seq APOBEC1-YTHmut Cell 179


title: iDART_SMART-seq APOBEC1-YTHmut Cell 178


title: iDART_SMART-seq APOBEC1-YTHmut Cell 175


title: iDART_SMART-seq APOBEC1-YTHmut Cell 173


title: iDART_SMART-seq APOBEC1-YTHmut Cell 174


title: iDART_SMART-seq APOBEC1-YTHmut Cell 176


title: iDART_SMART-seq APOBEC1-YTHmut Cell 177


title: iDART_SMART-seq APOBEC1-YTHmut Cell 172


title: iDART_SMART-seq APOBEC1-YTHmut Cell 171


title: iDART_SMART-seq APOBEC1-YTHmut Cell 170


title: iDART_SMART-seq APOBEC1-YTHmut Cell 167


title: iDART_SMART-seq APOBEC1-YTHmut Cell 168


title: iDART_SMART-seq APOBEC1-YTHmut Cell 196


title: iDART_SMART-seq APOBEC1-YTHmut Cell 164


title: iDART_SMART-seq APOBEC1-YTHmut Cell 169


title: iDART_SMART-seq APOBEC1-YTHmut Cell 162


title: iDART_SMART-seq APOBEC1-YTHmut Cell 165


title: iDART_SMART-seq APOBEC1-YTHmut Cell 159


title: iDART_SMART-seq APOBEC1-YTHmut Cell 188


title: iDART_SMART-seq APOBEC1-YTHmut Cell 163


title: iDART_SMART-seq APOBEC1-YTHmut Cell 157


title: iDART_SMART-seq APOBEC1-YTHmut Cell 161


title: iDART_SMART-seq APOBEC1-YTHmut Cell 183


title: iDART_SMART-seq APOBEC1-YTHmut Cell 158


title: iDART_SMART-seq APOBEC1-YTHmut Cell 152


title: iDART_SMART-seq APOBEC1-YTHmut Cell 156


title: iDART_SMART-seq APOBEC1-YTHmut Cell 155


title: iDART_SMART-seq APOBEC1-YTHmut Cell 151


title: iDART_SMART-seq APOBEC1-YTHmut Cell 150


title: iDART_SMART-seq APOBEC1-YTHmut Cell 154


title: iDART_SMART-seq APOBEC1-YTHmut Cell 149


title: iDART_SMART-seq APOBEC1-YTHmut Cell 153


title: iDART_SMART-seq APOBEC1-YTHmut Cell 146


title: iDART_SMART-seq APOBEC1-YTHmut Cell 145


title: iDART_SMART-seq APOBEC1-YTHmut Cell 148


title: iDART_SMART-seq APOBEC1-YTHmut Cell 144


title: iDART_SMART-seq APOBEC1-YTHmut Cell 141


title: iDART_SMART-seq APOBEC1-YTHmut Cell 143


title: iDART_SMART-seq APOBEC1-YTHmut Cell 140


title: iDART_SMART-seq APOBEC1-YTHmut Cell 142


title: iDART_SMART-seq APOBEC1-YTHmut Cell 166


title: iDART_SMART-seq APOBEC1-YTHmut Cell 138


title: iDART_SMART-seq APOBEC1-YTHmut Cell 137


title: iDART_SMART-seq APOBEC1-YTHmut Cell 134


title: iDART_SMART-seq APOBEC1-YTHmut Cell 136


title: iDART_SMART-seq APOBEC1-YTHmut Cell 160


title: iDART_SMART-seq APOBEC1-YTHmut Cell 133


title: iDART_SMART-seq APOBEC1-YTHmut Cell 132


title: iDART_SMART-seq APOBEC1-YTHmut Cell 130


title: iDART_SMART-seq APOBEC1-YTHmut Cell 131


title: iDART_SMART-seq APOBEC1-YTHmut Cell 129


title: iDART_SMART-seq APOBEC1-YTHmut Cell 128


title: iDART_SMART-seq APOBEC1-YTHmut Cell 127


title: iDART_SMART-seq APOBEC1-YTHmut Cell 125


title: iDART_SMART-seq APOBEC1-YTHmut Cell 122


title: iDART_SMART-seq APOBEC1-YTHmut Cell 123


title: iDART_SMART-seq APOBEC1-YTHmut Cell 124


title: iDART_SMART-seq APOBEC1-YTHmut Cell 119


title: iDART_SMART-seq APOBEC1-YTHmut Cell 120


title: iDART_SMART-seq APOBEC1-YTHmut Cell 147


title: iDART_SMART-seq APOBEC1-YTHmut Cell 121


title: iDART_SMART-seq APOBEC1-YTHmut Cell 115


title: iDART_SMART-seq APOBEC1-YTHmut Cell 117


title: iDART_SMART-seq APOBEC1-YTHmut Cell 116


title: iDART_SMART-seq APOBEC1-YTHmut Cell 114


title: iDART_SMART-seq APOBEC1-YTHmut Cell 118


title: iDART_SMART-seq APOBEC1-YTHmut Cell 112


title: iDART_SMART-seq APOBEC1-YTHmut Cell 113


title: iDART_SMART-seq APOBEC1-YTHmut Cell 111


title: iDART_SMART-seq APOBEC1-YTHmut Cell 110


title: iDART_SMART-seq APOBEC1-YTHmut Cell 109


title: iDART_SMART-seq APOBEC1-YTHmut Cell 139


title: iDART_SMART-seq APOBEC1-YTHmut Cell 107


title: iDART_SMART-seq APOBEC1-YTHmut Cell 106


title: iDART_SMART-seq APOBEC1-YTHmut Cell 105


title: iDART_SMART-seq APOBEC1-YTHmut Cell 135


title: iDART_SMART-seq APOBEC1-YTHmut Cell 103


title: iDART_SMART-seq APOBEC1-YTHmut Cell 102


title: iDART_SMART-seq APOBEC1-YTHmut Cell 104


title: iDART_SMART-seq APOBEC1-YTHmut Cell 101


title: iDART_SMART-seq APOBEC1-YTHmut Cell 99


title: iDART_SMART-seq APOBEC1-YTHmut Cell 97


title: iDART_SMART-seq APOBEC1-YTHmut Cell 98


title: iDART_SMART-seq APOBEC1-YTHmut Cell 126


title: iDART_SMART-seq APOBEC1-YTHmut Cell 96


title: iDART_SMART-seq APOBEC1-YTHmut Cell 94


title: iDART_SMART-seq APOBEC1-YTHmut Cell 95


title: iDART_SMART-seq APOBEC1-YTHmut Cell 93


title: iDART_SMART-seq APOBEC1-YTHmut Cell 92


title: iDART_SMART-seq APOBEC1-YTHmut Cell 90


title: iDART_SMART-seq APOBEC1-YTHmut Cell 88


title: iDART_SMART-seq APOBEC1-YTHmut Cell 91


title: iDART_SMART-seq APOBEC1-YTHmut Cell 89


title: iDART_SMART-seq APOBEC1-YTHmut Cell 87


title: iDART_SMART-seq APOBEC1-YTHmut Cell 86


title: iDART_SMART-seq APOBEC1-YTHmut Cell 85


title: iDART_SMART-seq APOBEC1-YTHmut Cell 84


title: iDART_SMART-seq APOBEC1-YTHmut Cell 82


title: iDART_SMART-seq APOBEC1-YTHmut Cell 81


title: iDART_SMART-seq APOBEC1-YTHmut Cell 83


title: iDART_SMART-seq APOBEC1-YTHmut Cell 108


title: iDART_SMART-seq APOBEC1-YTHmut Cell 78


title: iDART_SMART-seq APOBEC1-YTHmut Cell 80


title: iDART_SMART-seq APOBEC1-YTHmut Cell 79


title: iDART_SMART-seq APOBEC1-YTHmut Cell 76


title: iDART_SMART-seq APOBEC1-YTHmut Cell 77


title: iDART_SMART-seq APOBEC1-YTHmut Cell 75


title: iDART_SMART-seq APOBEC1-YTHmut Cell 74


title: iDART_SMART-seq APOBEC1-YTHmut Cell 73


title: iDART_SMART-seq APOBEC1-YTHmut Cell 72


title: iDART_SMART-seq APOBEC1-YTHmut Cell 71


title: iDART_SMART-seq APOBEC1-YTHmut Cell 69


title: iDART_SMART-seq APOBEC1-YTHmut Cell 100


title: iDART_SMART-seq APOBEC1-YTHmut Cell 70


title: iDART_SMART-seq APOBEC1-YTHmut Cell 68


title: iDART_SMART-seq APOBEC1-YTHmut Cell 64


title: iDART_SMART-seq APOBEC1-YTHmut Cell 65


title: iDART_SMART-seq APOBEC1-YTHmut Cell 61


title: iDART_SMART-seq APOBEC1-YTHmut Cell 66


title: iDART_SMART-seq APOBEC1-YTHmut Cell 62


title: iDART_SMART-seq APOBEC1-YTHmut Cell 59


title: iDART_SMART-seq APOBEC1-YTHmut Cell 63


title: iDART_SMART-seq APOBEC1-YTHmut Cell 58


title: iDART_SMART-seq APOBEC1-YTHmut Cell 57


title: iDART_SMART-seq APOBEC1-YTHmut Cell 56


title: iDART_SMART-seq APOBEC1-YTHmut Cell 55


title: iDART_SMART-seq APOBEC1-YTHmut Cell 54


title: iDART_SMART-seq APOBEC1-YTHmut Cell 53


title: iDART_SMART-seq APOBEC1-YTHmut Cell 51


title: iDART_SMART-seq APOBEC1-YTHmut Cell 52


title: iDART_SMART-seq APOBEC1-YTHmut Cell 48


title: iDART_SMART-seq APOBEC1-YTHmut Cell 34


title: iDART_SMART-seq APOBEC1-YTHmut Cell 35


title: iDART_SMART-seq APOBEC1-YTHmut Cell 33


title: iDART_SMART-seq APOBEC1-YTHmut Cell 50


title: iDART_SMART-seq APOBEC1-YTHmut Cell 60


title: iDART_SMART-seq APOBEC1-YTHmut Cell 41


title: iDART_SMART-seq APOBEC1-YTHmut Cell 43


title: iDART_SMART-seq APOBEC1-YTHmut Cell 37


title: iDART_SMART-seq APOBEC1-YTHmut Cell 47


title: iDART_SMART-seq APOBEC1-YTHmut Cell 42


title: iDART_SMART-seq APOBEC1-YTHmut Cell 67


title: iDART_SMART-seq APOBEC1-YTHmut Cell 46


title: iDART_SMART-seq APOBEC1-YTHmut Cell 49


title: iDART_SMART-seq APOBEC1-YTHmut Cell 44


title: iDART_SMART-seq APOBEC1-YTHmut Cell 40


title: iDART_SMART-seq APOBEC1-YTHmut Cell 45


title: iDART_SMART-seq APOBEC1-YTHmut Cell 36


title: iDART_SMART-seq APOBEC1-YTHmut Cell 30


title: iDART_SMART-seq APOBEC1-YTHmut Cell 27


title: iDART_SMART-seq APOBEC1-YTHmut Cell 28


title: iDART_SMART-seq APOBEC1-YTHmut Cell 29


title: iDART_SMART-seq APOBEC1-YTHmut Cell 26


title: iDART_SMART-seq APOBEC1-YTHmut Cell 24


title: iDART_SMART-seq APOBEC1-YTHmut Cell 23


title: iDART_SMART-seq APOBEC1-YTHmut Cell 39


title: iDART_SMART-seq APOBEC1-YTHmut Cell 38


title: iDART_SMART-seq APOBEC1-YTHmut Cell 22


title: iDART_SMART-seq APOBEC1-YTHmut Cell 18


title: iDART_SMART-seq APOBEC1-YTHmut Cell 19


title: iDART_SMART-seq APOBEC1-YTHmut Cell 32


title: iDART_SMART-seq APOBEC1-YTHmut Cell 20


title: iDART_SMART-seq APOBEC1-YTHmut Cell 17


title: iDART_SMART-seq APOBEC1-YTHmut Cell 16


title: iDART_SMART-seq APOBEC1-YTHmut Cell 31


title: iDART_SMART-seq APOBEC1-YTHmut Cell 9


title: iDART_SMART-seq APOBEC1-YTHmut Cell 11


title: iDART_SMART-seq APOBEC1-YTHmut Cell 12


title: iDART_SMART-seq APOBEC1-YTHmut Cell 13


title: iDART_SMART-seq APOBEC1-YTHmut Cell 10


title: iDART_SMART-seq APOBEC1-YTHmut Cell 4


title: iDART_SMART-seq APOBEC1-YTHmut Cell 3


title: iDART_SMART-seq APOBEC1-YTHmut Cell 7


title: iDART_SMART-seq APOBEC1-YTHmut Cell 5


title: iDART_SMART-seq APOBEC1-YTHmut Cell 6


title: iDART_SMART-seq APOBEC1-YTHmut Cell 14


title: iDART_SMART-seq APOBEC1-YTHmut Cell 1


title: iDART_SMART-seq APOBEC1-YTH Cell 1254


title: iDART_SMART-seq APOBEC1-YTHmut Cell 25


title: iDART_SMART-seq APOBEC1-YTH Cell 1253


title: iDART_SMART-seq APOBEC1-YTH Cell 1252


title: iDART_SMART-seq APOBEC1-YTH Cell 1251


title: iDART_SMART-seq APOBEC1-YTH Cell 1250


title: iDART_SMART-seq APOBEC1-YTH Cell 1249


title: iDART_SMART-seq APOBEC1-YTHmut Cell 21


title: iDART_SMART-seq APOBEC1-YTHmut Cell 15


title: iDART_SMART-seq APOBEC1-YTH Cell 1246


title: iDART_SMART-seq APOBEC1-YTH Cell 1248


title: iDART_SMART-seq APOBEC1-YTHmut Cell 8


title: iDART_SMART-seq APOBEC1-YTH Cell 1247


title: iDART_SMART-seq APOBEC1-YTH Cell 1243


title: iDART_SMART-seq APOBEC1-YTH Cell 1244


title: iDART_SMART-seq APOBEC1-YTH Cell 1240


title: iDART_SMART-seq APOBEC1-YTH Cell 1242


title: iDART_SMART-seq APOBEC1-YTH Cell 1238


title: iDART_SMART-seq APOBEC1-YTH Cell 1237


title: iDART_SMART-seq APOBEC1-YTH Cell 1230


title: iDART_SMART-seq APOBEC1-YTH Cell 1232


title: iDART_SMART-seq APOBEC1-YTH Cell 1235


title: iDART_SMART-seq APOBEC1-YTH Cell 1241


title: iDART_SMART-seq APOBEC1-YTH Cell 1229


title: iDART_SMART-seq APOBEC1-YTHmut Cell 2


title: iDART_SMART-seq APOBEC1-YTH Cell 1231


title: iDART_SMART-seq APOBEC1-YTH Cell 1239


title: iDART_SMART-seq APOBEC1-YTH Cell 1236


title: iDART_SMART-seq APOBEC1-YTH Cell 1228


title: iDART_SMART-seq APOBEC1-YTH Cell 1234


title: iDART_SMART-seq APOBEC1-YTH Cell 1233


title: iDART_SMART-seq APOBEC1-YTH Cell 1226


title: iDART_SMART-seq APOBEC1-YTH Cell 1227


title: iDART_SMART-seq APOBEC1-YTH Cell 1225


title: iDART_SMART-seq APOBEC1-YTH Cell 1224


title: iDART_SMART-seq APOBEC1-YTH Cell 1223


title: iDART_SMART-seq APOBEC1-YTH Cell 1222


title: iDART_SMART-seq APOBEC1-YTH Cell 1221


title: iDART_SMART-seq APOBEC1-YTH Cell 1220


title: iDART_SMART-seq APOBEC1-YTH Cell 1245


title: iDART_SMART-seq APOBEC1-YTH Cell 1219


title: iDART_SMART-seq APOBEC1-YTH Cell 1218


title: iDART_SMART-seq APOBEC1-YTH Cell 1217


title: iDART_SMART-seq APOBEC1-YTH Cell 1213


title: iDART_SMART-seq APOBEC1-YTH Cell 1214


title: iDART_SMART-seq APOBEC1-YTH Cell 1212


title: iDART_SMART-seq APOBEC1-YTH Cell 1216


title: iDART_SMART-seq APOBEC1-YTH Cell 1206


title: iDART_SMART-seq APOBEC1-YTH Cell 1207


title: iDART_SMART-seq APOBEC1-YTH Cell 1209


title: iDART_SMART-seq APOBEC1-YTH Cell 1210


title: iDART_SMART-seq APOBEC1-YTH Cell 1208


title: iDART_SMART-seq APOBEC1-YTH Cell 1205


title: iDART_SMART-seq APOBEC1-YTH Cell 1211


title: iDART_SMART-seq APOBEC1-YTH Cell 1215


title: iDART_SMART-seq APOBEC1-YTH Cell 1200


title: iDART_SMART-seq APOBEC1-YTH Cell 1202


title: iDART_SMART-seq APOBEC1-YTH Cell 1201


title: iDART_SMART-seq APOBEC1-YTH Cell 1204


title: iDART_SMART-seq APOBEC1-YTH Cell 1199


title: iDART_SMART-seq APOBEC1-YTH Cell 1198


title: iDART_SMART-seq APOBEC1-YTH Cell 1197


title: iDART_SMART-seq APOBEC1-YTH Cell 1196


title: iDART_SMART-seq APOBEC1-YTH Cell 1195


title: iDART_SMART-seq APOBEC1-YTH Cell 1192


title: iDART_SMART-seq APOBEC1-YTH Cell 1193


title: iDART_SMART-seq APOBEC1-YTH Cell 1191


title: iDART_SMART-seq APOBEC1-YTH Cell 1190


title: iDART_SMART-seq APOBEC1-YTH Cell 1188


title: iDART_SMART-seq APOBEC1-YTH Cell 1187


title: iDART_SMART-seq APOBEC1-YTH Cell 1185


title: iDART_SMART-seq APOBEC1-YTH Cell 1182


title: iDART_SMART-seq APOBEC1-YTH Cell 1186


title: iDART_SMART-seq APOBEC1-YTH Cell 1184


title: iDART_SMART-seq APOBEC1-YTH Cell 1180


title: iDART_SMART-seq APOBEC1-YTH Cell 1177


title: iDART_SMART-seq APOBEC1-YTH Cell 1183


title: iDART_SMART-seq APOBEC1-YTH Cell 1176


title: iDART_SMART-seq APOBEC1-YTH Cell 1172


title: iDART_SMART-seq APOBEC1-YTH Cell 1171


title: iDART_SMART-seq APOBEC1-YTH Cell 1203


title: iDART_SMART-seq APOBEC1-YTH Cell 1174


title: iDART_SMART-seq APOBEC1-YTH Cell 1168


title: iDART_SMART-seq APOBEC1-YTH Cell 1178


title: iDART_SMART-seq APOBEC1-YTH Cell 1173


title: iDART_SMART-seq APOBEC1-YTH Cell 1175


title: iDART_SMART-seq APOBEC1-YTH Cell 1167


title: iDART_SMART-seq APOBEC1-YTH Cell 1170


title: iDART_SMART-seq APOBEC1-YTH Cell 1169


title: iDART_SMART-seq APOBEC1-YTH Cell 1166


title: iDART_SMART-seq APOBEC1-YTH Cell 1189


title: iDART_SMART-seq APOBEC1-YTH Cell 1165


title: iDART_SMART-seq APOBEC1-YTH Cell 1163


title: iDART_SMART-seq APOBEC1-YTH Cell 1194


title: iDART_SMART-seq APOBEC1-YTH Cell 1162


title: iDART_SMART-seq APOBEC1-YTH Cell 1164


title: iDART_SMART-seq APOBEC1-YTH Cell 1161


title: iDART_SMART-seq APOBEC1-YTH Cell 1159


title: iDART_SMART-seq APOBEC1-YTH Cell 1156


title: iDART_SMART-seq APOBEC1-YTH Cell 1158


title: iDART_SMART-seq APOBEC1-YTH Cell 1155


title: iDART_SMART-seq APOBEC1-YTH Cell 1154


title: iDART_SMART-seq APOBEC1-YTH Cell 1157


title: iDART_SMART-seq APOBEC1-YTH Cell 1153


title: iDART_SMART-seq APOBEC1-YTH Cell 1152


title: iDART_SMART-seq APOBEC1-YTH Cell 1151


title: iDART_SMART-seq APOBEC1-YTH Cell 1148


title: iDART_SMART-seq APOBEC1-YTH Cell 1145


title: iDART_SMART-seq APOBEC1-YTH Cell 1149


title: iDART_SMART-seq APOBEC1-YTH Cell 1144


title: iDART_SMART-seq APOBEC1-YTH Cell 1146


title: iDART_SMART-seq APOBEC1-YTH Cell 1181


title: iDART_SMART-seq APOBEC1-YTH Cell 1141


title: iDART_SMART-seq APOBEC1-YTH Cell 1142


title: iDART_SMART-seq APOBEC1-YTH Cell 1160


title: iDART_SMART-seq APOBEC1-YTH Cell 1143


title: iDART_SMART-seq APOBEC1-YTH Cell 1140


title: iDART_SMART-seq APOBEC1-YTH Cell 1179


title: iDART_SMART-seq APOBEC1-YTH Cell 1139


title: iDART_SMART-seq APOBEC1-YTH Cell 1138


title: iDART_SMART-seq APOBEC1-YTH Cell 1137


title: iDART_SMART-seq APOBEC1-YTH Cell 1136


title: iDART_SMART-seq APOBEC1-YTH Cell 1135


title: iDART_SMART-seq APOBEC1-YTH Cell 1134


title: iDART_SMART-seq APOBEC1-YTH Cell 1133


title: iDART_SMART-seq APOBEC1-YTH Cell 1132


title: iDART_SMART-seq APOBEC1-YTH Cell 1131


title: iDART_SMART-seq APOBEC1-YTH Cell 1130


title: iDART_SMART-seq APOBEC1-YTH Cell 1129


title: iDART_SMART-seq APOBEC1-YTH Cell 1127


title: iDART_SMART-seq APOBEC1-YTH Cell 1126


title: iDART_SMART-seq APOBEC1-YTH Cell 1128


title: iDART_SMART-seq APOBEC1-YTH Cell 1124


title: iDART_SMART-seq APOBEC1-YTH Cell 1123


title: iDART_SMART-seq APOBEC1-YTH Cell 1121


title: iDART_SMART-seq APOBEC1-YTH Cell 1120


title: iDART_SMART-seq APOBEC1-YTH Cell 1122


title: iDART_SMART-seq APOBEC1-YTH Cell 1116


title: iDART_SMART-seq APOBEC1-YTH Cell 1118


title: iDART_SMART-seq APOBEC1-YTH Cell 1150


title: iDART_SMART-seq APOBEC1-YTH Cell 1117


title: iDART_SMART-seq APOBEC1-YTH Cell 1113


title: iDART_SMART-seq APOBEC1-YTH Cell 1114


title: iDART_SMART-seq APOBEC1-YTH Cell 1147


title: iDART_SMART-seq APOBEC1-YTH Cell 1111


title: iDART_SMART-seq APOBEC1-YTH Cell 1112


title: iDART_SMART-seq APOBEC1-YTH Cell 1110


title: iDART_SMART-seq APOBEC1-YTH Cell 1108


title: iDART_SMART-seq APOBEC1-YTH Cell 1107


title: iDART_SMART-seq APOBEC1-YTH Cell 1109


title: iDART_SMART-seq APOBEC1-YTH Cell 1105


title: iDART_SMART-seq APOBEC1-YTH Cell 1106


title: iDART_SMART-seq APOBEC1-YTH Cell 1104


title: iDART_SMART-seq APOBEC1-YTH Cell 1102


title: iDART_SMART-seq APOBEC1-YTH Cell 1099


title: iDART_SMART-seq APOBEC1-YTH Cell 1103


title: iDART_SMART-seq APOBEC1-YTH Cell 1100


title: iDART_SMART-seq APOBEC1-YTH Cell 1096


title: iDART_SMART-seq APOBEC1-YTH Cell 1095


title: iDART_SMART-seq APOBEC1-YTH Cell 1098


title: iDART_SMART-seq APOBEC1-YTH Cell 1094


title: iDART_SMART-seq APOBEC1-YTH Cell 1097


title: iDART_SMART-seq APOBEC1-YTH Cell 1091


title: iDART_SMART-seq APOBEC1-YTH Cell 1125


title: iDART_SMART-seq APOBEC1-YTH Cell 1090


title: iDART_SMART-seq APOBEC1-YTH Cell 1092


title: iDART_SMART-seq APOBEC1-YTH Cell 1089


title: iDART_SMART-seq APOBEC1-YTH Cell 1087


title: iDART_SMART-seq APOBEC1-YTH Cell 1086


title: iDART_SMART-seq APOBEC1-YTH Cell 1119


title: iDART_SMART-seq APOBEC1-YTH Cell 1088


title: iDART_SMART-seq APOBEC1-YTH Cell 1115


title: iDART_SMART-seq APOBEC1-YTH Cell 1085


title: iDART_SMART-seq APOBEC1-YTH Cell 1084


title: iDART_SMART-seq APOBEC1-YTH Cell 1082


title: iDART_SMART-seq APOBEC1-YTH Cell 1081


title: iDART_SMART-seq APOBEC1-YTH Cell 1080


title: iDART_SMART-seq APOBEC1-YTH Cell 1083


title: iDART_SMART-seq APOBEC1-YTH Cell 1079


title: iDART_SMART-seq APOBEC1-YTH Cell 1078


title: iDART_SMART-seq APOBEC1-YTH Cell 1077


title: iDART_SMART-seq APOBEC1-YTH Cell 1075


title: iDART_SMART-seq APOBEC1-YTH Cell 1074


title: iDART_SMART-seq APOBEC1-YTH Cell 1072


title: iDART_SMART-seq APOBEC1-YTH Cell 1071


title: iDART_SMART-seq APOBEC1-YTH Cell 1101


title: iDART_SMART-seq APOBEC1-YTH Cell 1068


title: iDART_SMART-seq APOBEC1-YTH Cell 1067


title: iDART_SMART-seq APOBEC1-YTH Cell 1073


title: iDART_SMART-seq APOBEC1-YTH Cell 1065


title: iDART_SMART-seq APOBEC1-YTH Cell 1069


title: iDART_SMART-seq APOBEC1-YTH Cell 1066


title: iDART_SMART-seq APOBEC1-YTH Cell 1063


title: iDART_SMART-seq APOBEC1-YTH Cell 1093


title: iDART_SMART-seq APOBEC1-YTH Cell 1062


title: iDART_SMART-seq APOBEC1-YTH Cell 1070


title: iDART_SMART-seq APOBEC1-YTH Cell 1059


title: iDART_SMART-seq APOBEC1-YTH Cell 1060


title: iDART_SMART-seq APOBEC1-YTH Cell 1058


title: iDART_SMART-seq APOBEC1-YTH Cell 1056


title: iDART_SMART-seq APOBEC1-YTH Cell 1061


title: iDART_SMART-seq APOBEC1-YTH Cell 1054


title: iDART_SMART-seq APOBEC1-YTH Cell 1055


title: iDART_SMART-seq APOBEC1-YTH Cell 1052


title: iDART_SMART-seq APOBEC1-YTH Cell 1053


title: iDART_SMART-seq APOBEC1-YTH Cell 1051


title: iDART_SMART-seq APOBEC1-YTH Cell 1050


title: iDART_SMART-seq APOBEC1-YTH Cell 1049


title: iDART_SMART-seq APOBEC1-YTH Cell 1076


title: iDART_SMART-seq APOBEC1-YTH Cell 1045


title: iDART_SMART-seq APOBEC1-YTH Cell 1046


title: iDART_SMART-seq APOBEC1-YTH Cell 1044


title: iDART_SMART-seq APOBEC1-YTH Cell 1042


title: iDART_SMART-seq APOBEC1-YTH Cell 1043


title: iDART_SMART-seq APOBEC1-YTH Cell 1040


title: iDART_SMART-seq APOBEC1-YTH Cell 1041


title: iDART_SMART-seq APOBEC1-YTH Cell 1038


title: iDART_SMART-seq APOBEC1-YTH Cell 1036


title: iDART_SMART-seq APOBEC1-YTH Cell 1033


title: iDART_SMART-seq APOBEC1-YTH Cell 1039


title: iDART_SMART-seq APOBEC1-YTH Cell 1032


title: iDART_SMART-seq APOBEC1-YTH Cell 1031


title: iDART_SMART-seq APOBEC1-YTH Cell 1064


title: iDART_SMART-seq APOBEC1-YTH Cell 1030


title: iDART_SMART-seq APOBEC1-YTH Cell 1035


title: iDART_SMART-seq APOBEC1-YTH Cell 1034


title: iDART_SMART-seq APOBEC1-YTH Cell 1029


title: iDART_SMART-seq APOBEC1-YTH Cell 1057


title: iDART_SMART-seq APOBEC1-YTH Cell 1028


title: iDART_SMART-seq APOBEC1-YTH Cell 1027


title: iDART_SMART-seq APOBEC1-YTH Cell 1026


title: iDART_SMART-seq APOBEC1-YTH Cell 1025


title: iDART_SMART-seq APOBEC1-YTH Cell 1024


title: iDART_SMART-seq APOBEC1-YTH Cell 1023


title: iDART_SMART-seq APOBEC1-YTH Cell 1022


title: iDART_SMART-seq APOBEC1-YTH Cell 1021


title: iDART_SMART-seq APOBEC1-YTH Cell 1020


title: iDART_SMART-seq APOBEC1-YTH Cell 1048


title: iDART_SMART-seq APOBEC1-YTH Cell 1047


title: iDART_SMART-seq APOBEC1-YTH Cell 1018


title: iDART_SMART-seq APOBEC1-YTH Cell 1017


title: iDART_SMART-seq APOBEC1-YTH Cell 1014


title: iDART_SMART-seq APOBEC1-YTH Cell 1015


title: iDART_SMART-seq APOBEC1-YTH Cell 1016


title: iDART_SMART-seq APOBEC1-YTH Cell 1010


title: iDART_SMART-seq APOBEC1-YTH Cell 1011


title: iDART_SMART-seq APOBEC1-YTH Cell 1009


title: iDART_SMART-seq APOBEC1-YTH Cell 1007


title: iDART_SMART-seq APOBEC1-YTH Cell 1012


title: iDART_SMART-seq APOBEC1-YTH Cell 1006


title: iDART_SMART-seq APOBEC1-YTH Cell 1037


title: iDART_SMART-seq APOBEC1-YTH Cell 1013


title: iDART_SMART-seq APOBEC1-YTH Cell 1008


title: iDART_SMART-seq APOBEC1-YTH Cell 1003


title: iDART_SMART-seq APOBEC1-YTH Cell 1004


title: iDART_SMART-seq APOBEC1-YTH Cell 1005


title: iDART_SMART-seq APOBEC1-YTH Cell 1002


title: iDART_SMART-seq APOBEC1-YTH Cell 1000


title: iDART_SMART-seq APOBEC1-YTH Cell 1001


title: iDART_SMART-seq APOBEC1-YTH Cell 999


title: iDART_SMART-seq APOBEC1-YTH Cell 997


title: iDART_SMART-seq APOBEC1-YTH Cell 998


title: iDART_SMART-seq APOBEC1-YTH Cell 996


title: iDART_SMART-seq APOBEC1-YTH Cell 993


title: iDART_SMART-seq APOBEC1-YTH Cell 991


title: iDART_SMART-seq APOBEC1-YTH Cell 994


title: iDART_SMART-seq APOBEC1-YTH Cell 992


title: iDART_SMART-seq APOBEC1-YTH Cell 1019


title: iDART_SMART-seq APOBEC1-YTH Cell 990


title: iDART_SMART-seq APOBEC1-YTH Cell 989


title: iDART_SMART-seq APOBEC1-YTH Cell 987


title: iDART_SMART-seq APOBEC1-YTH Cell 986


title: iDART_SMART-seq APOBEC1-YTH Cell 988


title: iDART_SMART-seq APOBEC1-YTH Cell 983


title: iDART_SMART-seq APOBEC1-YTH Cell 982


title: iDART_SMART-seq APOBEC1-YTH Cell 981


title: iDART_SMART-seq APOBEC1-YTH Cell 979


title: iDART_SMART-seq APOBEC1-YTH Cell 976


title: iDART_SMART-seq APOBEC1-YTH Cell 975


title: iDART_SMART-seq APOBEC1-YTH Cell 978


title: iDART_SMART-seq APOBEC1-YTH Cell 973


title: iDART_SMART-seq APOBEC1-YTH Cell 971


title: iDART_SMART-seq APOBEC1-YTH Cell 977


title: iDART_SMART-seq APOBEC1-YTH Cell 970


title: iDART_SMART-seq APOBEC1-YTH Cell 972


title: iDART_SMART-seq APOBEC1-YTH Cell 980


title: iDART_SMART-seq APOBEC1-YTH Cell 969


title: iDART_SMART-seq APOBEC1-YTH Cell 967


title: iDART_SMART-seq APOBEC1-YTH Cell 995


title: iDART_SMART-seq APOBEC1-YTH Cell 965


title: iDART_SMART-seq APOBEC1-YTH Cell 963


title: iDART_SMART-seq APOBEC1-YTH Cell 966


title: iDART_SMART-seq APOBEC1-YTH Cell 962


title: iDART_SMART-seq APOBEC1-YTH Cell 961


title: iDART_SMART-seq APOBEC1-YTH Cell 960


title: iDART_SMART-seq APOBEC1-YTH Cell 959


title: iDART_SMART-seq APOBEC1-YTH Cell 956


title: iDART_SMART-seq APOBEC1-YTH Cell 955


title: iDART_SMART-seq APOBEC1-YTH Cell 984


title: iDART_SMART-seq APOBEC1-YTH Cell 985


title: iDART_SMART-seq APOBEC1-YTH Cell 952


title: iDART_SMART-seq APOBEC1-YTH Cell 974


title: iDART_SMART-seq APOBEC1-YTH Cell 953


title: iDART_SMART-seq APOBEC1-YTH Cell 950


title: iDART_SMART-seq APOBEC1-YTH Cell 949


title: iDART_SMART-seq APOBEC1-YTH Cell 954


title: iDART_SMART-seq APOBEC1-YTH Cell 968


title: iDART_SMART-seq APOBEC1-YTH Cell 947


title: iDART_SMART-seq APOBEC1-YTH Cell 951


title: iDART_SMART-seq APOBEC1-YTH Cell 948


title: iDART_SMART-seq APOBEC1-YTH Cell 944


title: iDART_SMART-seq APOBEC1-YTH Cell 945


title: iDART_SMART-seq APOBEC1-YTH Cell 941


title: iDART_SMART-seq APOBEC1-YTH Cell 939


title: iDART_SMART-seq APOBEC1-YTH Cell 938


title: iDART_SMART-seq APOBEC1-YTH Cell 940


title: iDART_SMART-seq APOBEC1-YTH Cell 937


title: iDART_SMART-seq APOBEC1-YTH Cell 936


title: iDART_SMART-seq APOBEC1-YTH Cell 935


title: iDART_SMART-seq APOBEC1-YTH Cell 934


title: iDART_SMART-seq APOBEC1-YTH Cell 958


title: iDART_SMART-seq APOBEC1-YTH Cell 957


title: iDART_SMART-seq APOBEC1-YTH Cell 931


title: iDART_SMART-seq APOBEC1-YTH Cell 933


title: iDART_SMART-seq APOBEC1-YTH Cell 932


title: iDART_SMART-seq APOBEC1-YTH Cell 930


title: iDART_SMART-seq APOBEC1-YTH Cell 927


title: iDART_SMART-seq APOBEC1-YTH Cell 928


title: iDART_SMART-seq APOBEC1-YTH Cell 929


title: iDART_SMART-seq APOBEC1-YTH Cell 923


title: iDART_SMART-seq APOBEC1-YTH Cell 924


title: iDART_SMART-seq APOBEC1-YTH Cell 946


title: iDART_SMART-seq APOBEC1-YTH Cell 926


title: iDART_SMART-seq APOBEC1-YTH Cell 925


title: iDART_SMART-seq APOBEC1-YTH Cell 943


title: iDART_SMART-seq APOBEC1-YTH Cell 922


title: iDART_SMART-seq APOBEC1-YTH Cell 918


title: iDART_SMART-seq APOBEC1-YTH Cell 917


title: iDART_SMART-seq APOBEC1-YTH Cell 942


title: iDART_SMART-seq APOBEC1-YTH Cell 919


title: iDART_SMART-seq APOBEC1-YTH Cell 915


title: iDART_SMART-seq APOBEC1-YTH Cell 916


title: iDART_SMART-seq APOBEC1-YTH Cell 914


title: iDART_SMART-seq APOBEC1-YTH Cell 913


title: iDART_SMART-seq APOBEC1-YTH Cell 912


title: iDART_SMART-seq APOBEC1-YTH Cell 911


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title: iDART_SMART-seq APOBEC1-YTH Cell 906


title: iDART_SMART-seq APOBEC1-YTH Cell 905


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title: iDART_SMART-seq APOBEC1-YTH Cell 903


title: iDART_SMART-seq APOBEC1-YTH Cell 902


title: iDART_SMART-seq APOBEC1-YTH Cell 901


title: iDART_SMART-seq APOBEC1-YTH Cell 900


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title: iDART_SMART-seq APOBEC1-YTH Cell 920


title: iDART_SMART-seq APOBEC1-YTH Cell 921


title: iDART_SMART-seq APOBEC1-YTH Cell 888


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title: iDART_SMART-seq APOBEC1-YTH Cell 851


title: iDART_SMART-seq APOBEC1-YTH Cell 849


title: iDART_SMART-seq APOBEC1-YTH Cell 850


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title: iDART_SMART-seq APOBEC1-YTH Cell 825


title: iDART_SMART-seq APOBEC1-YTH Cell 827


title: iDART_SMART-seq APOBEC1-YTH Cell 826


title: iDART_SMART-seq APOBEC1-YTH Cell 824


title: iDART_SMART-seq APOBEC1-YTH Cell 828


title: iDART_SMART-seq APOBEC1-YTH Cell 817


title: iDART_SMART-seq APOBEC1-YTH Cell 820


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title: iDART_SMART-seq APOBEC1-YTH Cell 819


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title: iDART_SMART-seq APOBEC1-YTH Cell 816


title: iDART_SMART-seq APOBEC1-YTH Cell 821


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title: iDART_SMART-seq APOBEC1-YTH Cell 808


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title: iDART_SMART-seq APOBEC1-YTH Cell 805


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title: iDART_SMART-seq APOBEC1-YTH Cell 804


title: iDART_SMART-seq APOBEC1-YTH Cell 803


title: iDART_SMART-seq APOBEC1-YTH Cell 802


title: iDART_SMART-seq APOBEC1-YTH Cell 801


title: iDART_SMART-seq APOBEC1-YTH Cell 798


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title: iDART_SMART-seq APOBEC1-YTH Cell 797


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title: iDART_SMART-seq APOBEC1-YTH Cell 780


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title: iDART_SMART-seq APOBEC1-YTH Cell 773


title: iDART_SMART-seq APOBEC1-YTH Cell 771


title: iDART_SMART-seq APOBEC1-YTH Cell 775