title: CAL51_Analog8_20_R1

city: Chicago

first: Ali

last: Shilatifard

state: IL

address: 320 E Superior St

department: Department of Biochemistry and Molecular Genetics

country: USA

institute: Northwestern University Feinberg School of Medicine

description: normal cells treated with 20 mM Analog8

data_processing:
Basecalls were performed using bcl2fastq v2.17 for NextSeq output.
Both ChIP-seq and RNA-seq reads were trimmed from 3' end until the final base had a quality score > 30, using Trimmomatic v0.33, discarding reads left with < 20 bp
ChIP-seq reads were aligned to UCSC hg19 using Bowtie version 0.12.9.  Only uniquely mapping reads with at most two mismatches were retained.
RNA-seq reads were aligned to UCSC hg19 using Tophat version 2.0.9.  Only uniquely mapping reads with at most two mismatches were retained.
To create ChIP-seq coverage plots, the locations of the mapped ChIP-seq reads were extended to 150 bp to represent sequenced fragments, renormalized (to reads per million, rpm) and reformatted in the bigWig file format.
To create RNA-seq coverage plots, the mapped RNA-seq reads were split according to strand, renormalized (to reads per million, rpm) and reformatted in the bigWig file format.
Genome_build: hg19
Supplementary_files_format_and_content: bigWig files were generated using the genomicRanges R package.  Score represents the normalized coverage of RNA or DNA fragments at a given genomic coordinate.

growth_protocol: Cells were maintained with either DMEM (Gibco, Gaithersburg, MD) or ATCC-formulated RPMI-1640 medium  containing 10% FBS (Sigma)

extract_protocol:
RNA was extracted using QIAGEN RNeasy kit. DNA after ChIP protocol was isolated using QIAGEN PCR purification kit.
ChIP-sequencing libraries were prepared using the KAPA HTP Library Preparation Kit complemented with NEXTflex DNA Barcodes from Bioo Scientific. 10 ng of DNA was used as starting material for input and ip samples. Libraries were amplified using 13 cycles on the thermocycler. Post amplification libraries were size selected at 250- 450bp in length using Agencourt AMPure XP beads from Beckman Coulter. Libraries were validated using the Agilent High Sensitivity DNA Kit. RNA-sequencing libraries were prepared using the Illumina TruSeq Stranded Total RNA Preparation Kit with Ribo-Depletion. Input RNA quality was validated using the Agilent RNA 6000 Nano Kit. 200ng-1 µg of total RNA was used as starting material. Libraries were validated using the Agilent DNA 1000 Kit

treatment_protocol: Cells were treated with different concentrations of iBAP for 24 hours, with DMSO as negative control

value: breast cancer cell line

tag: passages

value: Low passages (6-10)

tag: genotype

value: wild type


title: DMSO, 48h, PU1 (SS2_16_596_A1)

status: Public on Mar 07 2021

type: SRA

city: Stockholm

first: Olov

last: Andersson

state: Solna

address: Tomtebodavägen 16

department: CMB

country: Sweden

institute: Karolinska Institute

library_source: transcriptomic

data_processing:
The samples were analyzed by first demultiplexing the fastq files using deindexer (https://github.com/ws6/deindexer) using the nextera index adapters and the 384 well layout.
Individual fastq files were then mapped to the relevant genome assembly using the STAR aligner (Dobin et al. Bioinformatics 2013) using 2-pass alignment to have improved performance of de novo splice junction reads, filtered for only uniquely mapping reads that are saved in the BAM file.
The expression values were computed as reads per kilobase of gene model and million mappable reads (RPKMs) to normalize for varying sequencing depths across sequenced cells and the gene lengths. The expression values were computed per gene as described in Ramsköld et al. (2009 PLoS Comp Biol), using uniquely aligned reads and correcting for the uniquely alignable positions using MULTo (Storvall et al. 2013 PLoS ONE). The count matrix shows the individual counts aligning to each gene per cell.
Genome_build: mm9
Supplementary_files_format_and_content: csv file containing gene count for every gene and every cell (counts_raw.csv) or for genes and beta-cells after QC (counts.csv)
csv file containing gene count for every gene and every cell (fpkm_raw.csv) or for genes and beta-cells after QC (fpkm.csv)

molecule: polyA RNA

organism: Mus musculus

source_name: DMSO, 48h, PU1

growth_protocol: Dissociated islets were cultured in RPMI 1640 medium containing 10% fetal bovine serum (FBS), 15 mM glucose, 2 mM glutamine, and 1% penicillin- streptomycin

extract_protocol:
One cell per well were plated in 384-well plate containing lysis buffer, oligo-dT primer and dNTP
library preparation was performed according to Picelli et al. (2014, Nature Protocol)

treatment_protocol: The cells were incubated with the compounds at different concentrations and durations in 1% DMSO. At the end of the treatment, cells were dissociated using accutase and FACS was performed

tag: strain

tag: cell type

value: pancreatic endocrine cells

tag: treatment

value: DMSO

value: 48h (2days)


title: CAL51_Analog8_10_R1

description: normal cells treated with 10 mM Analog8

molecule: total RNA

organism: Homo sapiens

tag: tissue

tag: cell line


title: CAL51_Analog8_5_R2

description: normal cells treated with 5 mM Analog8


title: CAL51_Analog8_5_R1

description: normal cells treated with 5 mM Analog8


title: CAL51_Analog8_20_R2

description: normal cells treated with 20 mM Analog8


title: Kolf2-C1_Day20_Rep3

city: Cambridge

first: Davide

last: Chiarugi

address: Box 289, Addenbrooke’s Hospital

department: Metabolic Research Laboratories

country: United Kingdom

institute: WT-MRC Institute of Metabolic Science

description:
Raw_counts_K2.csv
K2_D20_3

data_processing:
Raw fastq files were trimmed using Cutadapt 2.10 and aligned to the reference features using STAR v. 2.7
The amount of reads per feature was quantified using Feature Counts 1.6.2 of the Subread package
Genome_build: genome-build GRCh38.p12, NCBI_Assembly:GCF_000001405.38, NCBI Homo sapiens Annotation Release 109
Supplementary_files_format_and_content: Processed data files contains the reads counts for each feature as comma separated values

source_name: human induced pluripotent stem cell -brown adipocytes precursors

growth_protocol: undifferentiated human pluripotent stem cells were maintained in Essential 8™ (E8) medium

extract_protocol:
RNA was extracted using the  RNeasy Qiagen Kit following the manufacturer's instructions
Library construction (poly(A) pulldown, fragmentation, 1st, and 2nd strand synthesis, end prep, and ligation) was carried out using 'NEB Ultra II RNA custom kit' on a Agilent Bravo WS automation system.

treatment_protocol: For differentiation, pluripotent cells were plated into Matrigel-coated 12-well plates and induced when 70% confluent. At days 0-4, chemically defined medium (CDM; BSA and insulin-free) was used. From days 6-30, complete medium (DMEM-F12 Ham) ) was used.

value: cell line

tag: days of differentiation

tag: gender

value: male


title: Hela_ctrl_1

city: Martinsried

first: Assa

last: Yeroslaviz

state: Bavaria

address: Am Klopferspitz 18

department: computational Biology

country: Germany

institute: Max-Planck-Institute for biochemistry

description: featureCounts.geneLevel.txt

data_processing:
fastqc tool was used to ensure high data quality (v. 0.11.7).
Fastq files were mapped to the human genome (Ensembl genome version GRCh38) using the STAR algorithm (v. 2.7.3a).
The reads were counted per gene using the featureCounts tool from the SubRead package (v. 2.0.1).
Differential expression analysis was done using DESeq2 (v. 1.30.0).
Genome_build: GRCh38
Supplementary_files_format_and_content: featureCounts.geneLevel.txt: Matrix table with raw gene counts for every gene and every sample.

source_name: HeLa cells

growth_protocol: 0.1 x 10^6 HeLa cells were plated per well of a 12-well plate in DMEM medium containing 10% FBS and 1% Penicillin-Streptomycin 14 h before treatment.

extract_protocol:
RNA isolation was performed using the RNeasy mini kit from QIAGEN.
mRNA sequencing libraries were prepared from 1ug of total RNA of each sample using the NEBNext Ultra™ II Directional RNA Library Prep Kit for Illumina® (E7765, NEB) with NEBNext® Poly(A) mRNA Magnetic Isolation Module (E7490, NEB) according to the manufacturer's recommendations.

treatment_protocol: The cells were treated for 24 h in triplicates per treatment with ctrl DMEM medium, DMEM + 200 µM I3P and DMEM 72 h pre-incubated with 1 µg/ml WT or K351A mutant murine IL4i1.

value: HeLa

value: 24h ctrl


title: CAL51_Analog8_10_R2

description: normal cells treated with 10 mM Analog8


title: CAL51_Analog7_20_R1

description: normal cells treated with 20 mM Analog7


title: CAL51_Analog7_10_R2

description: normal cells treated with 10 mM Analog7


title: Kolf2-C1_Day12_Rep3

description:
Raw_counts_K2.csv
K2_D12_3


title: Kolf2-C1_Day10_Rep3

description:
Raw_counts_K2.csv
K2_D10_3


title: CAL51_Analog7_10_R1

description: normal cells treated with 10 mM Analog7


title: Kolf2-C1_Day8_Rep3

description:
Raw_counts_K2.csv
K2_D08_3


title: Hela_ctrl_2

description: featureCounts.geneLevel.txt


title: CAL51_Analog7_5_R2

description: normal cells treated with 5 mM Analog7


title: Kolf2-C1_Day4_Rep3

description:
Raw_counts_K2.csv
K2_D04_3

source_name: human induced pluripotent stem cell-paraxial mesoderm stage


title: Kolf2-C1_Day2_Rep3

description:
Raw_counts_K2.csv
K2_D02_3

source_name: human induced pluripotent stem cell -mesoderm stage


title: CAL51_Analog7_5_R1

description: normal cells treated with 5 mM Analog7


title: CAL51_DMSO_R2

description: normal cells treated with DMSO


title: Kolf2-C1_Day0_Rep3

description:
Raw_counts_K2.csv
K2_D00_3

source_name: human induced pluripotent stem cell-undifferentiated stage


title: Kolf2-C1_Day20_Rep2

description:
Raw_counts_K2.csv
K2_D20_2


title: CAL51_DMSO_R1

description: normal cells treated with DMSO


title: Kolf2-C1_Day12_Rep2

description:
Raw_counts_K2.csv
K2_D12_2


title: Kolf2-C1_Day10_Rep2

description:
Raw_counts_K2.csv
K2_D10_2


title: CAL51_ASXL1_KO2_R2

description: ASXL1 knockout cells

value: ASXL1 knockout


title: CAL51_ASXL1_KO3_R1

description: ASXL1 knockout cells


title: CAL51_ASXL1_KO2_R1

description: ASXL1 knockout cells


title: Kolf2-C1_Day4_Rep2

description:
Raw_counts_K2.csv
K2_D04_2


title: Kolf2-C1_Day8_Rep2

description:
Raw_counts_K2.csv
K2_D08_2


title: Kolf2-C1_Day0_Rep2

description:
Raw_counts_K2.csv
K2_D00_2


title: CAL51_ASXL1_KO1_R2

description: ASXL1 knockout cells


title: CAL51_ASXL1_KO3_R2

description: ASXL1 knockout cells


title: CAL51_Analog7_20_R2

description: normal cells treated with 20 mM Analog7


title: Kolf2-C1_Day20_Rep1

description:
Raw_counts_K2.csv
K2_D20_1


title: 293_ASXL1-Y591_Truncated_Homo_R2

description: ASXL1 Y591* knock-in cells (homozygous)

value: Kidney cell line

value: ASXL1 truncated homozygous


title: CAL51_ASXL1_WT_R1

description: normal cells


title: CAL51_ASXL1_WT_R2

description: normal cells


title: Kolf2-C1_Day10_Rep1

description:
Raw_counts_K2.csv
K2_D10_1


title: 293_ASXL1-Y591_Truncated_Homo_R1

description: ASXL1 Y591* knock-in cells (homozygous)


title: Kolf2-C1_Day12_Rep1

description:
Raw_counts_K2.csv
K2_D12_1


title: CAL51_ASXL1_KO1_R1

description: ASXL1 knockout cells


title: 293_ASXL1-Y591_Truncated_Hetero_R2

description: ASXL1 Y591* knock-in cells (heterozygous)

value: ASXL1 truncated heterozygous


title: 293_ASXL1-Y591_Truncated_Hetero_R1


title: Kolf2-C1_Day8_Rep1

description:
Raw_counts_K2.csv
K2_D08_1


title: Kolf2-C1_Day2_Rep2

description:
Raw_counts_K2.csv
K2_D02_2


title: Kolf2-C1_Day4_Rep1

description:
Raw_counts_K2.csv
K2_D04_1


title: Kolf2-C1_Day2_Rep1

description:
Raw_counts_K2.csv
K2_D02_1


title: 293_ASXL1_WT_R1

description: normal cells


title: THP1_ASXL1_Y591fs_iBAP_R2

description: ASXL1 Y591* knock-in cells treated with iBAP

value: leukemia cell line

value: ASXL1 mutant


title: H9_Day30_Rep3

description:
Raw_counts_H9.csv
H9_D30_3

source_name: human embryonic stem cell-derived brown adipocytes

value: female


title: Kolf2-C1_Day0_Rep1

description:
Raw_counts_K2.csv
K2_D00_1


title: THP1_ASXL1_Y591fs_DMSO_R2

description: ASXL1 Y591* knock-in cells treated with DMSO


title: THP1_ASXL1_WT_DMSO_R2

description: normal cells treated with DMSO


title: H9_Day20_Rep3

description:
Raw_counts_H9.csv
H9_D20_3


title: H9_Day10_Rep3

description:
Raw_counts_H9.csv
H9_D10_3

source_name: human embryonic stem cell-derived brown adipocytes precursors


title: THP1_ASXL1_Y591fs_iBAP_R1


title: 293_ASXL1_WT_R2

description: normal cells


title: THP1_ASXL1_Y591fs_DMSO_R1


title: CAL51_H2AUb_ASXL1_Y591_mut

description: ASXL1 Y591* knock-in cells

library_source: genomic

molecule: genomic DNA

value: breast cancer cell line

tag: chip antibody


title: C: C-2, 5.5 mM

type: RNA

city: Grand Forks

first: SANDEEP

last: Singhal

state: North Dakota

address: 1301 N Columbia Road Stop 9037

department: Department of Pathology

institute: School of Medicine and Health Sciences, University of North Dakota

hyb_protocol: Seven hundred nanograms of labelled cRNA were hybridized overnight to Illumina human-HT-12v4 BeadChip arrays (Illumina Inc. USA), which contained 47,400 hybridization probes.

scan_protocol: Standard Illumina scanning protocol

data_processing: The data were normalized using quantile normalization with IlluminaGUI in R

label: biotin

source_name: kidney cells

label_protocol: 1µg of total RNA was used to prepare amplified and biotinylated antisense complementary cRNA targets using the Illumina TotalPrep RNA amplification kit (Thermo Fisher Scientific, USA)

growth_protocol: Cells were seeded into T-75 culture flasks that were treated with collagen (bovine type I) and fetal calf serum.  The collagen treatment of culture flasks consisted of the following. A 3 mg/ml solution of collagen is place on the culture surface momentarily and removed by pipette.  The remaining residue is allowed to dry and then a solution of fetal calf serum is place on the culture surface overnight.  The following day, the serum is removed and the surface is washed three times with phosphate buffered saline.  Cells are seeded into collagen-treated flasks at a 1-2 split ratio, a seeding density in which the cells cover nearly all the surface but are not packed in.  After a week’s culture, the cells fully pack in.  The growth medium consisted of a serum-free medium consisting of a 1:1 mixture of Dulbecco's modified Eagle's medium (DMEM) and Ham's F-12 growth medium supplemented with selenium (5 ng/mL), insulin (5 μg/mL), transferrin (5 μg/mL), hydrocortisone (36 ng/mL), triiodothyronine (4 pg/mL), and epidermal growth factor (10 ng/mL).   To passage the cells, trypsin (005%)-EDTA (0.02%) is used to detach the cells, and after centrifugation and resuspending in growth medium, one half of the cells are placed in a new flask (split ratio 1-2).

extract_protocol: Total RNA was purified using an RNeasy RNA purification kit (Qiagen, USA)

treatment_protocol: Cells were allowed to reach confluency in normal growth medium.  Once confluent and packed in, the cells were fed growth medium containing the altered glucose concentrations (5.5, 7.5, 11 and 16 mM).  The medium was changed every three days and on the seventh day the cells were split 1-2 into new flasks while maintaining the same glucose concentration.  The cells were continually cultured and split another two times in fresh flasks; each passage was about one week.   Total glucose exposure time was about 4 weeks.  RNA was purified one day after the final change of growth medium

value: 5.5 mM Glucose


title: D: M-2, 11 mM

value: 11 mM Glucose


title: THP1_ASXL1_WT_DMSO_R1

description: normal cells treated with DMSO

value: Low passages (6-10)

value: wild type


title: F: M-3, 11 mM


title: L: H-3, 16 mM

value: 16 mM Glucose


title: H9_Day12 Rep3

description:
Raw_counts_H9.csv
H9_D12_3

value: cell line


title: H9_Day8_Rep3

description:
Raw_counts_H9.csv
H9_D08_3


title: H9_Day2_Rep3

description:
Raw_counts_H9.csv
H9_D02_3

source_name: human embryonic stem cell-mesoderm stage


title: A: C-1, 5.5 mM Glucose


title: G: L-1, 7.5 mM

value: 7.5 mM Glucose


title: H: H-1, 16 mM


title: K: L-3, 7.5 mM


title: I: L-2, 7.5 mM


title: B: M-1, 11 mM Glucose


title: E: C-3, 5.5 mM


title: Input_CAL51_ASXL1_KO1

description: ASXL1 knockout cells


title: H9_Day4_Rep3

description:
Raw_counts_H9.csv
H9_D04_3

source_name: human embryonic stem cell-paraxial mesoderm stage


title: H9_Day0_Rep3

description:
Raw_counts_H9.csv
H9_D00_3

source_name: human embryonic stem cell-undifferentiated stage


title: CAL51_H2AUb_ASXL1_WT

description: normal cells


title: 22_OE.CEL

city: Gießen

first: Robert

last: Ringseis

address: Heinrich-Buff-Ring 26-32

department: Institute of Animal Nutrition and Nutrition Physiology

institute: JLU Gießen

hyb_protocol: 3.8 µg of fragmented and labeled ss cDNA were hybridized to Applied Biosystems GeneChip Clariom S rat arrays for 16 h at 45°C and 60 rpm in an Applied Biosystems GeneChip hybridization oven 640.

scan_protocol: Hybridized arrays were washed and stained in an Applied Biosystems GeneChip Fluidics Station FS450, and the fluorescent signals were measured with an Applied Biosystems GeneChip Scanner 3000 7G System. Fluidics and scan functions were controlled by the Applied Biosystems GeneChip Command Console v4.3.3 software.

data_processing: Summarized probe set signals in log2 scale were calculated by using the GCCN-SST-RMA algorithm with the Applied Biosystems GeneChip Expression Console v1.4 Software. After exporting into Microsoft Excel, average signal values, comparison fold changes (FC) and significance P-values were calculated.

label: Biotin

organism: Rattus norvegicus

source_name: Liver Obese Rat Ecydsterone

label_protocol: 200 ng of total RNA was used to generate double-stranded cDNA. 12 µg of subsequently synthesized cRNA were purified and reverse transcribed into single-stranded (ss) cDNA, whereat unnatural dUTP residues were incorporated. Purified ss cDNA was fragmented using a combination of uracil DNA glycosylase (UDG) and apurinic/apyrimidinic endonuclease 1 (APE 1) followed by a terminal labeling with biotin.

growth_protocol: The animal experiment was approved by the local Animal Care and Use Committee (Regierungspräsidium Giessen, permission no: JLU 725_M). All experimental procedures described followed established guidelines for the care and handling of laboratory animals. The experiment included 16 male, 25-week-old, homozygous (fa/fa) obese Zucker rats (Crl:ZUC-Leprfa) and 16 male, 25-week-old, heterozygous (fa/+) lean Zucker rats, which were purchased from Charles River (Sulzfeld, Germany). The animals were kept in groups of two animals each under controlled conditions (12-h light:12-h dark, 22 ± 1°C ambient temperature, 50-60 % relative humidity).

extract_protocol: Total RNA from frozen liver aliquots (15-20 mg) was isolated using TRIzol reagent (Invitrogen, Karlsruhe, Germany) according to the manufacturer’s protocol and subsequently analyzed for quantity and quality using an Infinite 200M microplate reader equipped with a NanoQuant plate (both from Tecan, Mainz, Germany). The average RNA concentration and A260/A280 ratio of all total RNA samples were 2.27 ± 0.4 µg/µL (n = 32) and 1.93 ± 0.07 (n = 32), respectively. For microarray analysis, six liver total RNA samples/group were randomly selected. After checking RNA quality [A260:A280 ratios and RNA integrity number values were 1.84 ± 0.05 (mean ± SD) and 7.4 ± 0.6, respectively] as described [Gessner et al., 2017], RNA samples were processed at the at the Genomics Core Facility, “KFB - Center of Excellence for Fluorescent Bioanalytics” (Regensburg, Germany; www.kfb-regensburg.de) following the Applied Biosystems GeneChip Whole Transcript (WT) PLUS Reagent Kit User Guide (Thermo Fisher Scientific, Waltham, MA, USA).

treatment_protocol: The lean rats were randomly assigned to two groups [lean control (LC), lean ecdysterone (LE)] of 8 rats each. Also, the obese rats were randomly assigned to two groups [obese control (OC), obese ecdysterone (OE)] of 8 rats each. All groups received the same basal diet, which was sufficient to meet requirements of the rat for maintenance according to National Research Council (NRC) and supplemented (groups LE and OE) or not (groups LC and OC) with 0.5 g ecdysterone (provided from Alibaba, China) per kg diet.

value: Zucker

tag: phenotype

value: obese

value: male

tag: condition

value: ecdysterone

value: liver


title: 24_OE.CEL


title: H9_Day30_Rep2

description:
Raw_counts_H9.csv
H9_D30_2


title: 20_OE.CEL


title: 23_OE.CEL


title: CAL51_H3K27me3_ASXL1_KO1

description: ASXL1 knockout cells

value: ASXL1 knockout


title: CAL51_H3K27me3_ASXL1_KO2

description: ASXL1 knockout cells


title: 18_OC.CEL

source_name: Liver Obese Rat Control

value: control


title: 17_OC.CEL


title: 21_OE.CEL


title: 19_OE.CEL


title: J: H-2, 16 mM


title: H9_Day20_Rep2

description:
Raw_counts_H9.csv
H9_D20_2


title: H9_Day12 Rep2

description:
Raw_counts_H9.csv
H9_D12_2


title: CAL51_H3K27me3_ASXL1_WT

description: normal cells


title: Input_THP1_ASXL1_Y591fs

description: ASXL1 Y591* knock-in cells

value: leukemia cell line

value: ASXL1 mutant


title: H9_Day10_Rep2

description:
Raw_counts_H9.csv
H9_D10_2

value: female


title: H9_Day8_Rep2

description:
Raw_counts_H9.csv
H9_D08_2


title: Input_THP1_ASXL1_WT

description: normal cells


title: THP1_BAP1_Y591fs_R2

description: ASXL1 Y591* knock-in cells

value: anti-BAP1 (home made)


title: H9_Day4_Rep2

description:
Raw_counts_H9.csv
H9_D04_2


title: H9_Day2_Rep2

description:
Raw_counts_H9.csv
H9_D02_2


title: 15_OC.CEL


title: 16_OC.CEL


title: H9_Day0_Rep2

description:
Raw_counts_H9.csv
H9_D00_2


title: 293T_ASXL1_KO_iBAP_10_R2

description: ASXL1 knockout cells treated with 10 mM iBAP

value: Kidney cell line


title: 11_LE.CEL

source_name: Liver Lean Rat Ecydsterone

value: lean


title: H9_Day20_Rep1

description:
Raw_counts_H9.csv
H9_D20_1


title: 293T_ASXL1_KO_iBAP_1_R1

description: ASXL1 knockout cells treated with 1 mM iBAP

value: Low passages (6-10)


title: 293T_ASXL1_KO_iBAP_0_1_R2

description: ASXL1 knockout cells treated with 0.1 mM iBAP


title: THP1_ASXL1_WT_R2

description: normal cells

value: anti-ASXL1 (home made)

value: wild type


title: THP1_ASXL1_Y591fs_R2

description: ASXL1 Y591* knock-in cells


title: 12_LE.CEL


title: H9_Day30_Rep1

description:
Raw_counts_H9.csv
H9_D30_1

value: cell line


title: 13_OC.CEL

value: Zucker


title: 10_LE.CEL


title: 06_LC.CEL

source_name: Liver Lean Rat Control


title: THP1_BAP1_WT_R2

description: normal cells


title: THP1_BAP1_Y591fs_R1

description: ASXL1 Y591* knock-in cells


title: 07_LE.CEL


title: THP1_BAP1_WT_R1

description: normal cells


title: 14_OC.CEL

value: obese


title: 08_LE.CEL

value: male


title: 05_LC.CEL


title: 04_LC.CEL


title: 02_LC.CEL


title: 03_LC.CEL


title: 01_LC.CEL


title: 09_LE.CEL

value: ecdysterone


title: H9_Day12 Rep1

description:
Raw_counts_H9.csv
H9_D12_1


title: 293T_ASXL1_KO_DMSO_R2

description: ASXL1 knockout cells treated with DMSO


title: 293T_ASXL1_KO_iBAP_10_R1


title: 293T_ASXL1_KO_iBAP_1_R2


title: 293T_ASXL1_KO_iBAP_0_1_R1


title: 293T_ASXL1_KO_DMSO_R1

description: ASXL1 knockout cells treated with DMSO


title: THP1_ASXL1_Y591fs_R1

description: ASXL1 Y591* knock-in cells


title: 293T_ASXL1_WT_iBAP_10_R1

description: normal cells treated with 10 mM iBAP


title: H9_Day10_Rep1

description:
Raw_counts_H9.csv
H9_D10_1


title: 293T_ASXL1_WT_iBAP_10_R2

description: normal cells treated with 10 mM iBAP


title: 293T_ASXL1_WT_iBAP_1_R2

description: normal cells treated with 1 mM iBAP


title: H9_Day8_Rep1

description:
Raw_counts_H9.csv
H9_D08_1


title: OsbZIP46_DAP-seq

city: Tsukuba

first: Taiji

last: Kawakatsu

state: Ibaraki

address: 3-1-3 Kan-nondai

country: Japan

institute: National Agriculture and Food Research Organization

data_processing:
library strategy: DAP-seq
Reads were mapped to the IRGSP-1.0 genome assembly using Bowtie2 (ver. 2.3.4.1) with default parameters and uniquely mapped reads were extracted using samtools (ver. 1.9). Peaks were called using gem (ver. 2.7) with options “--k_min 6 --k_max 20 --k_seqs 600”. Enriched motifs within top 1000 peaks were identified using HOMER (ver. 4.11) with default parameters. Peaks were assigned to the closest genes with the closestBed command of BEDtools (ver. 2.27.1) and peaks which were apart from over 2 kb from any genes were discarded.
Genome_build: IRGSP-1.0
Supplementary_files_format_and_content: bigwig files generated by deeptools bamCoverage; scores represent RPKM

organism: Oryza sativa

source_name: leaf

extract_protocol:
Genomic DNA was extracted with DNeasy plant mini kit (Qiagen).
DAP-seq was performed as described previously (Bartlett et al., Nat Protocols 2017).

value: Nipponbare

value: leaf

tag: dap beads

value: MagneHalo beads (Promega G7282)


title: THP1_ASXL1_WT_R1

description: normal cells

value: leukemia cell line


title: CAL51_Input_ASXL1_Y591_mut

description: ASXL1 Y591* knock-in cells

value: breast cancer cell line

value: ASXL1 mutant


title: 293T_ASXL1_WT_iBAP_1_R1

description: normal cells treated with 1 mM iBAP


title: OsbZIP39_DAP-seq


title: H9_Day2_Rep1

description:
Raw_counts_H9.csv
H9_D02_1

value: female


title: CAL51_Input_ASXL1_Y591_WT

description: normal cells


title: CAL51_BAP1_ASXL1_Y591_mut

description: ASXL1 Y591* knock-in cells

value: anti-BAP1 (home made)


title: CAL51_BAP1_ASXL1_WT

description: normal cells


title: 293T_ASXL1_WT_iBAP_0_1_R2

description: normal cells treated with 0.1 mM iBAP

value: Kidney cell line


title: 293T_ASXL1_WT_iBAP_0_1_R1

description: normal cells treated with 0.1 mM iBAP

value: Low passages (6-10)


title: Acoziborole_resistant_4

city: Midlothian

first: Pieter

middle: C

last: Steketee

address: Easter Bush Campus

department: Division of Infection and Immunity

institute: Roslin Institute, University of Edinburgh

data_processing:
Alignment carried out using HiSat2 (parameters: --no-spliced-alignment --summary-file -x TbruceiLister427_2018_v50)
Conversion to bam output and further filtering using Samtools (parameters: samtools view -bS -q1 | samtools sort -O BAM; samtools index)
picard tools AddOrReplaceGroups (parameters: ID=1 LB=rgLib PL=illumina PU=single)
Expression analysis step: htseq-count from the HTSeq python library (parameters: -s reverse -f bam -t mRNA -I ID -m union)
SNP/Indel analysis step: GATK HaplotypeCaller, output g.vcf.gz (parameters: -ERC GVCF)
SNP/Indel analysis step: GATK CombineGVCFs
SNP/Indel analysis step: GATK GenotypeGVCFs
SNP/Indel analysis step: GATK SelectVariants (parameters: --select-type-to-include SNP; --select-type-to-include INDEL; used separately to generate 2 vcf files
SNP analysis step: GATK VariantFiltration (parameters: --filter-expression "QD < 2.0 || FS > 60.0 || MQ < 40.0 || MQRankSum < -12.5 || ReadPosRankSum < -8.0" --filter-name "default_hard_snp_filter")
Indel analysis step: GATK VariantFiltration (parameters: --filter-expression "QD < 2.0 || FS > 200.0 || ReadPosRankSum < -20.0" --filter-name "default_hard_indel_filter")
Genome_build: Trypanosoma brucei Lister 427 2018 v50.0
Genome_build: Genome URL: https://tritrypdb.org/tritrypdb/app
Supplementary_files_format_and_content: HTSeq-count file: read count file generated with HTSeq-count

organism: Trypanosoma brucei brucei

source_name: in vitro axenic cell culture

growth_protocol: Trypanosoma brucei brucei Lister 427 were maintained in HMI-11 at 37°C, 5% CO2, and were grown to a density of 2×10^6 cells/mL. For each sample, 10^8 cells were isolated

extract_protocol:
RNA was extracted using the Nucleospin RNA kit (Macherey-Nagel) and a DNase treatment step was included in the kit protocol. Samples were stored at -80°C prior to submission for sequencing.
Libraries were prepared using the TruSeq stranded mRNA sample kit (Illumina) for poly-A selection

treatment_protocol: Drug resistance was generated over a period of ~200 days by supplementation of increasing doses of acoziborole (starting concentration: 170 nM)

value: Lister 427

value: acoziborole-resistant

tag: culture method

value: in vitro axenic cell culture

tag: cell number


title: H9_Day0_Rep1

description:
Raw_counts_H9.csv
H9_D00_1

value: cell line


title: Acoziborole_resistant_3


title: Acoziborole_resistant_2


title: 293T_ASXL1_WT_DMSO_R2

description: normal cells treated with DMSO

value: wild type


title: Acoziborole_resistant_1


title: CAL51_ASXL1_Y591_mut

description: ASXL1 Y591* knock-in cells

value: anti-ASXL1 (home made)


title: 293T_ASXL1_WT_DMSO_R1

description: normal cells treated with DMSO


title: Wild-type passaged

value: wild-type


title: CAL51_ASXL1_Y591_WT

description: normal cells


title: H9_Day4_Rep1

description:
Raw_counts_H9.csv
H9_D04_1


title: Arg-trx Isotype_ChIPSeq

city: Miaoli County

first: Chia-Lin

last: Chen

address: No.35 Keyan Rd, Zhunan

department: Molecular and Genomic Medicine

country: Taiwan

institute: National Health Research Institutes

description: Treatment isotype sample

data_processing:
Reads were trimmed by Trimmomatic and check qualities using FastQC
Trimmed reads were mapped to human genome (hg38) by Bowtie2
Mapped reads were run through peak-calling step using MACS2
Peak Differential Analysis and Annotation using DiffBind and EdgeR
Genome_build: hg38
Supplementary_files_format_and_content: Peak Differential Analysis

source_name: 22Rv1 prostate cancer cell line

growth_protocol: Prostate cancer cell line, 22Rv1, was rountinely cultured in 1640 RPMI-1640 Medium with 10%FBS and 1% Pen/Strep

extract_protocol:
Lysates were harvested according to Millipore manufacture's protocol (Magna ChIP™ A/G Chromatin Immunoprecipitation Kit)
Libraries were prepared according to Illumina's instruction

treatment_protocol: 22Rv1 cells were first under arginine starvation overnight, then stimulated with arginine at final concentration 20mg/L for 24hrs

tag: chip-antibody

value: Rabbit IgG (Millipore, PP64B)

tag: stimulation

value: arginine


title: Arg-trx AcH3_ChIPSeq

description: Treatment acetyl-H3 sample

value: Acetyl-histone H3 (Millipore, 06-599)


title: CAL51_H3K27Ac

description: normal cells

tag: passages

value: anti-H3K27Ac (CST #8173)


title: Wild-type parental

tag: genotype


title: FaDu IrrKO 2 RNA-seq

city: New Haven

first: Thomas

last: Hayman

state: CT

address: 15 York Street

department: Department of Therapeutic Radiology

institute: Yale University

description: Fadu STING KO IR Replicate 2

data_processing:
The reads from the sequencer were trimmed for length and quality.  The minimum quality accepted was Q30, and minimum length accepted with 45.
The trimmed reads were aligned to the hg38 reference genome from UCSC using HISAT2 aligner.
StringTie, and Ballgown were used to estimate transcript abundances, and the gene count matrices were used differential gene expression analysis.
The gene count matrices were processed with DESeq2, and visualized in R.
The gene_abund.tab files generated during the Ballgown/StringTie call were collated to collect the TPM values for each gene for each sample into the type-values-all-samples.txt file.  These values were used for all the visualizations.
Genome_build: hg38
Supplementary_files_format_and_content: TPM matrix.

source_name: Head and neck tumor

growth_protocol: Cells grown in DMEM supplemented with 10% FBS

extract_protocol:
Total cellular RNA was collected and isolated  using RNeasy Mini kit (Qiagen) per manufacturer's protocol
RNA is purified from approximately 200ng of total RNA with oligo-dT beads.  Samples were then prepared using Illumina protocol.  Samples were loaded onto an Illumina NovaSeq flow cell (Illumina, San Diego, CA) at a concentration that yields 25 million passing filter clusters per sample and sequenced using 100 bp paired-end sequencing according to Illumina protocols.

treatment_protocol: Irradiated cells were treated with four daily treatments of 2Gy

value: STING-/-

value: Head and neck tumor cell line

value: FaDu


title: CAL51_Input_ASXL1_KO

description: ASXL1 knockout cells

value: breast cancer cell line

value: ASXL1 knockout


title: Arg-trx Input DNA

description: Treatment input sample


title: TBD0207_LY_2 (miRNA-seq)

city: Harbin

first: Jinquan

last: Cai

address: Xuefu Road

country: China

institute: Harbin Medical University

data_processing:
Basecalls performed using BGISEQ-500 platform.
SOAPnuke was used to get the "clean reads".
Mapping clean reads to hg19 whole genome using AASRA.miRDeep2 predicted the novel miRNAs.
Bowtie2 was used to get the mapping ratio.
Trans Per Million (TPM) was calculated representing the expressive levels.
Genome_build: hg19
Supplementary_files_format_and_content: tab-delimited text files include fpkm values for each Sample ...

source_name: glioma

extract_protocol:
Tissue blocks were lysed in TRIzol reagent (Sigma-Aldrich). The lysate was well mixed with chloroform and spun for 15 min at 13000 g at 4 °C. RNA in top aqueous phase was collected and mixed with propan-2-ol to precipitate total RNA.
Samll RNA libraries were prepared for sequencing using BGISEQ-500 Small RNA-Seq Standard Library Prep Kit

value: glioma tissue

tag: tag


title: TBD0207_DMSO_2 (miRNA-seq)

value: DMSO


title: Ctrl Input DNA

description: Control input sample

value: none (control)


title: FaDu IrrWT 3 RNA-seq

description: Fadu Control IR Replicate 3

value: WT


title: CAL51_ASXL1_KO

description: ASXL1 knockout cells

value: Low passages (6-10)

value: anti_ASXL1 (home made)


title: CAL51_Input_ASXL1_WT

description: normal cells

value: wild type


title: TBD0207_DMSO_1 (miRNA-seq)


title: CAL51_H3K4me3

description: normal cells

value: anti-H3K4me3 (home made)


title: FaDu IrrWT 1 RNA-seq

description: Fadu Control IR Replicate 1


title: TBD0207_LY_2 (RNA-seq)

data_processing:
Basecalls performed using BGISEQ-500.
SOAPnuke was used to get the "clean reads".
Mapping clean reads to hg19 whole genome using HISAT2.
Bowtie2 was used to get the mapping ratio.
Fragments Per Kilobase Million (FPKM) was calculated based on the RSEM.
Genome_build: hg19
Supplementary_files_format_and_content: tab-delimited text files include fpkm values for each Sample ...

extract_protocol:
Tissue blocks were lysed in TRIzol reagent (Sigma-Aldrich). The lysate was well mixed with chloroform and spun for 15 min at 13000 g at 4 °C. RNA in top aqueous phase was collected and mixed with propan-2-ol to precipitate total RNA.
RNA libraries were prepared for sequencing using MGIEasymRNA Library Prep Kit V2.


title: THP-1.I3P.rep3

data_processing:
fastqc tool was used to ensure high data quality (v. 0.11.7)
fastq files were mapped to the human genome (Ensembl genome version GRCh38) using the STAR algorithm (v. 2.7.3a)
the reads were counted per gene using the featureCounts tool from the SubRead package (v. 1.4.6-p4)
differentail expression analysis was done using DESeq2 (v. 1.26.0)
Genome_build: GRCh38
Supplementary_files_format_and_content: Matrix table with raw gene counts for every gene and every sample

source_name: THP-1 cells

growth_protocol: 0.3 x10^6 THP-1 cells were plated per well of a 12-well plate in RPMI medium containing 10% FBS, 1% Penicillin-Streptomycin and 0.1% β-Mercaptoethanol 14 h before treatment.

treatment_protocol: The cells were treated in triplicates per treatment for 24 h with 200 µM Phenylpyruvate, 4-Hydroxyphenylpyruvate or Indole-3-pyruvate dissolved in RPMI medium. RPMI medium alone was used as control treatment.

value: THP-1 cells

value: 24h I3P


title: FaDu KO 3 RNA-seq

description: Fadu STING KO Replicate


title: CAL51_ASXL1_WT

description: normal cells


title: FaDu IrrKO 3 RNA-seq

description: Fadu STING KO IR Replicate 3


title: Ctrl Isotype_ChIPSeq

description: Control isotype sample

value: Rabbit IgG (Millipore, PP64B)


title: TBD0207_LY_1 (RNA-seq)


title: FaDu IrrKO 1 RNA-seq

description: Fadu STING KO IR Replicate 1


title: neural lineage cells 3

first: Shohei

last: Takaoka

state: 茨城県

address: Tennodai 1-1-1

institute: University of Tsukuba

hyb_protocol: Following labeling, 5.2 ug of cDNA were hybridized for 16 hr at 45 degree C on Clariom S Array. GeneChips were washed and stained in the GeneChip Fluidics Station 450. (GeneChip WT PLUS Reagent Kit USER GUIDE revB, ThermoFisher Scientific).

scan_protocol: GeneChips were scanned using GeneChip Scanner 7G system.

data_processing: The data were normalized with Expression Console version 1.4 (sst-RMA) using default analysis settings and global scaling as normalization method. Normalized CHP files were analyzed with Transcriptome Analysis Console version 3.1.

source_name: dental pulp

label_protocol: The fragmented 5.2 μg of single-stranded cDNA is labeled by terminal deoxynucleotidyl transferase (TdT) using the DNA Labeling Reagent that is covalently linked to biotin. (GeneChip WT PLUS Reagent Kit USER GUIDE revB, ThermoFisher Scientific).

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

tag: cell type

value: Neural lineage cells

value: Female

tag: age


title: Ctrl AcH3_ChIPSeq

description: Control acetyl-H3 sample

value: Acetyl-histone H3 (Millipore, 06-599)


title: neural lineage cells 2


title: TBD0207_LY_1 (miRNA-seq)

tag: tissue


title: THP-1.I3P.rep2

tag: treatment


title: TBD0207_DMSO_2 (RNA-seq)


title: neural lineage cells 1

value: Male


title: THP-1.I3P.rep1


title: FaDu IrrWT 2 RNA-seq

description: Fadu Control IR Replicate 2

value: Head and neck tumor cell line

tag: cell line

value: FaDu


title: FaDu KO 1 RNA-seq

description: Fadu STING KO Replicate 1

value: STING-/-


title: dental pulp stem cells 2

value: Dental pulp stem cells

tag: gender


title: dental pulp stem cells 3


title: TBD0207_DMSO_1 (RNA-seq)

value: glioma tissue

value: DMSO


title: FaDu WT 3 RNA-seq

description: Fadu Control Replicate 3

value: WT


title: THP-1.4HPP.rep3

value: 24h 4HPP


title: MCH_PDX_PX_2 (RNA-seq)

data_processing:
Basecalls performed using BGISEQ-500.
SOAPnuke was used to get the "clean reads".
Mapping clean reads to hg19 whole genome using HISAT2
Bowtie2 was used to get the mapping ratio.
Fragments Per Kilobase Million (FPKM) was calculated based on the RSEM.
Genome_build: hg19
Supplementary_files_format_and_content: tab-delimited text files include fpkm values for each Sample

extract_protocol:
Tissue blocks were lysed in TRIzol reagent (Sigma-Aldrich). The lysate was well mixed with chloroform and spun for 15 min at 13000 g at 4 °C. RNA in top aqueous phase was collected and mixed with propan-2-ol to precipitate total RNA.
RNA libraries were prepared for sequencing using  MGIEasymRNA Library Prep Kit V2.

value: glioma patient-derived xenograft

tag: location

value: subcutaneous


title: dental pulp stem cells 1


title: THP-1.4HPP.rep2

value: THP-1 cells


title: THP-1.4HPP.rep1


title: FaDu WT 1 RNA-seq

description: Fadu Control Replicate 1


title: FaDu WT 2 RNA-seq

description: Fadu Control Replicate 2


title: FaDu KO 2 RNA-seq

description: Fadu STING KO Replicate


title: Fadu Irradiated Replicate 3 CRISPR

description: other (amplified gRNA cassette)

data_processing:
The reads were aligned against reference hg38.
The alignment data was parsed to tabulate number of reads matching to each gene.
Mageck was used to determine the list of essential genes from CRISPR knock-out screen.
Genome_build: hg38
Supplementary_files_format_and_content: Tab-seprated-values of counts for sgRNAs seen in each gene in each sample.

extract_protocol:
Genomic DNA isolation was performed using QIAamp DNA Blood Columns (Qiagen, Hilden, Germany).
sgRNA sequence were amplified (with Illumina adaptors and unique barcodes attached) using a two-step PCR reaction as described in Chen et.al. Cell 2015. PMID 25748654


title: MCH_PDX_LY_2_2 (RNA-seq)

value: orthotopic


title: MCH_PDX_LY_2_1 (RNA-seq)


title: THP-1.PP.rep3

value: 24h PP


title: THP-1.PP.rep2


title: MCH_PDX_LY_1_2 (RNA-seq)


title: THP-1.PP.rep1


title: Fadu Irradiated Replicate 1 CRISPR

description: other (amplified gRNA cassette)


title: MCH_PDX_LY_1_1 (RNA-seq)


title: THP-1.CTRL.rep3

value: 24h ctrl


title: Fadu Control Replicate 3 CRISPR

description: other (amplified gRNA cassette)


title: MCH_PDX_CTRL_2 (RNA-seq)


title: MCH_PDX_PX_1 (RNA-seq)


title: THP-1.CTRL.rep2


title: MCH_PDX_CTRL_1 (RNA-seq)


title: Fadu Irradiated Replicate 2 CRISPR

description: other (amplified gRNA cassette)


title: 22Rv1-R24_2

hyb_protocol: Standard Affymetrix protocol.

scan_protocol: Standard Affymetrix protocol.

data_processing: The data were analyzed with Transcriptome Analysis Console (TAC) using Affymetrix default analysis settings.

source_name: 22Rv1 cells

label_protocol: Standard Affymetrix protocol.

growth_protocol: Both prostate cancer cell lines, 22Rv1 and PC3, are routinely cultured in RPMI-1640 medium with 10% FBS and 1% Pen/Strep.

extract_protocol: The total RNA was extracted by RNeasy Mini kit (Qiagen) with on-column DNase I digestion according to the manufacturer's instructions.

treatment_protocol: 22Rv1 cell line, highly-sensitive to arginine, was treated with or without arginine condition for 24 hours. PC3 cell line, sensitive to arginine, was treated with or without arginine condition for 48 hours.

value: prostate cancer cell line

tag: arginine sensitivity

value: highly-sensitive

value: without arginine for 24hrs


title: PC3+R48_1

source_name: PC3 cells

value: sensitive

value: with arginine for 48hrs


title: PC3-R48_2

value: without arginine for 48hrs


title: 22Rv1+R24_2

value: with arginine for 24hrs


title: Fadu Control Replicate 2 CRISPR

description: other (amplified gRNA cassette)

value: Head and neck tumor cell line

value: FaDu


title: PC3-R48_1


title: 22Rv1-R24_1


title: PC3+R48_2


title: 10C-PD#3

status: Public on Mar 06 2021

city: Wuhan

first: Yong

last: Long

address: No. 7 Donghu South Rd.

institute: Institute of Hydrobiology, Chinese Academy of Sciences

data_processing:
The clean reads were mapped to the cDNA sequences of zebrafish (downloaded from Ensembl http://asia.ensembl.org/, release-101) using salmon-v0.13.1 with parameters “--gcBias --seqBias --posBias --validateMappings”.
The results of Salmon were processed by tximport to summarize gene abundance and number of mapped reads for all the samples.Genes with a TPM (transcript per million) ≥ 1 in all the biological replicate for at least one treatment group were regarded as expressed.
Genome_build: Ensembl Genes 101
Supplementary_files_format_and_content: Microsoft Excel file includes TPM (transcript per million)for every gene and every sample

organism: Danio rerio

source_name: Whole body of zebrafish larvae

growth_protocol: The embryos and larvae were incubated at 28 oC in E3 medium (5 mM NaCl, 0.17 mM KCl, 0.33 mM CaCl2, and 0.33 mM MgSO4, pH 7.2).

extract_protocol:
For total RNA extraction, the samples were homogenized in TRIzol (Invitrogen, Carlsbad, CA, USA) using a TissueRuptor II from QIAGEN (Hilden, Germany). The lysates were submitted for RNA purification using a Direct-zol RNA Miniprep Kit from ZYMO RESEARCH (Irvine, CA, USA) according to manufacturer’s instructions.
Sample quality analysis, library construction and RNA sequencing were performed by the Biomarker Technologies (Beijing, China). All the RNA samples had a RNA integrity number (RIN) above 9.0.

treatment_protocol: This experiment contained four groups of samples. The controls (ctrl) were maintained at 28 oC and collected at developmental stages including 96 hpf, 97 hpf, 98 hpf, 102 hpf, 108 hpf and 132 hpf. The lethal cold stress treated samples (lc) were exposed to 10 oC for 1 h, 2 h, 6 h, 12 h and 24 h. The recovery group (re) were exposed to 10 oC for 12 h and then incubated at 28 oC for 1 h, 2 h, 6 h, 12 h and 24 h. The normal (er_nor) and abnormal (er_ab) ones after 24 h of both cold exposure and recovery were also included in RNA-seq analysis.

value: Whole body of zebrafish larvae

tag: strain

value: AB strain

value: Sample treated with PD0325901 (5 μM) and exposed to cold stress


title: 10C-PD#2


title: 10C-SB#3

value: Sample treated with SB203580 (50 μM) and exposed to cold stress


title: 10C-AS#3

value: Sample treated with AS1842856 (0.5 μM) and exposed to cold stress


title: 10C-SB#1


title: 10C-AS#1


title: 10C-AS#2


title: 10C-SB#2


title: 10C-PD#1


title: 10C-DMSO#2

value: Vehicle control exposed to cold stress


title: 28C-SB#3

value: Sample treated with SB203580 (50 μM) and maintained at normal temperature


title: 10C-DMSO#1


title: THP-1.CTRL.rep1

value: THP-1 cells

value: 24h ctrl


title: Fadu Control Replicate 1 CRISPR

description: other (amplified gRNA cassette)

value: WT


title: 28C-SB#1


title: 28C-PD#3

value: Sample treated with PD0325901 (5 μM) and maintained at normal temperature


title: 28C-PD#2


title: 28C-AS#3

value: Sample treated with AS1842856 (0.5 μM) and maintained at normal temperature


title: 10C-DMSO#3


title: 28C-PD#1


title: 28C-AS#2


title: 22Rv1+R24_1

value: prostate cancer cell line

value: highly-sensitive


title: 28C-SB#2


title: 28C-AS#1


title: 28C-DMSO#2

value: Vehicle control maintained at normal temperature


title: 28C-DMSO#3


title: 96hpf#3

value: Untreated control


title: 28C-DMSO#1


title: 96hpf#2


title: er_nor#3

value: Rewarmed at 28oC after cold stress


title: er_ab#1

value: Whole body of zebrafish larvae


title: er_ab#3

value: AB strain


title: er_nor#1


title: er_nor#2


title: re_24h#3


title: re_24h#2


title: re_24h#1


title: re_12h#2


title: re_12h#1


title: 96hpf#1


title: er_ab#2


title: re_6h#2


title: re_6h#3


title: re_6h#1


title: re_2h#3


title: re_2h#1


title: re_2h#2


title: re_1h#2


title: re_1h#3


title: lc_24h#3

value: Treated with 10 oC


title: re_1h#1


title: re_12h#3


title: lc_24h#2


title: lc_24h#1


title: lc_6h#2


title: lc_6h#1


title: lc_6h#3


title: lc_1h#2


title: lc_12h#1


title: lc_2h#2


title: lc_12h#3


title: lc_2h#3


title: ctrl_132hpf#2

value: Control


title: lc_12h#2


title: lc_1h#1


title: lc_1h#3


title: ctrl_132hpf#3


title: ctrl_108hpf#2


title: ctrl_108hpf#3


title: ctrl_132hpf#1


title: lc_2h#1


title: ctrl_108hpf#1


title: ctrl_102hpf#3


title: ctrl_98hpf#3


title: ctrl_102hpf#2


title: ctrl_102hpf#1


title: ctrl_97hpf#1


title: ctrl_98hpf#1


title: ctrl_97hpf#3


title: ctrl_96hpf#1


title: ctrl_96hpf#2


title: ctrl_97hpf#2


title: ctrl_96hpf#3


title: ctrl_98hpf#2


title: positive-node primary 7

type: other

city: Durham

first: Gao

last: Zhang

state: NC

address: 203 Research Dr | MSRB1, Rm 179

department: The Preston Robert Tisch Brain Tumor Center

institute: Duke University School of Medicine

hyb_protocol: For each PathoChIP array, a Cy3 labeled specimen and a Cy5 labeled reference were combined and hybridized together in constant rotation at 65°C for 40 hours. The slides were then washed and scanned for visualization using an Agilent SureScan G4900DA array scanner.

scan_protocol: Agilent SureScan G4900DA array scanner was used to scan the microarrays.

data_processing: Agilent Feature Extraction software was used for extraction of the raw green and red signal data from the microarray images captured by the G400DA scanner.

molecule: other

organism:
Homo sapiens
human metagenome

source_name: positive-node primary

label_protocol: 1μg of the amplified products from the patient and reference genomes were labelled separately with Cy3 and Cy5, respectively (SureTag labeling kit, Agilent Technologies, Santa Clara, CA). All labeled controls and experimental specimens were purified and hybridized to the PathoChIP microarrays

growth_protocol: Tonsil cancer and lymph node specimens were obtained from patients with p16 positive, T1 or T2 tonsil squamous cell carcinoma (staged with the American Joint Committee on Cancer (AJCC), 7th edition, TNM staging and consistent with the current 8th edition) treated with TORS and therapeutic or elective neck dissection. Only patients with no positive lymph nodes (N0) or a single positive level 2 lymph node less than 6 cm were included in the study (N1 by AJCC, 7th and 8th editions). All tumors were p16 positive determined by surgical biopsy or resection per the guidelines of the University of Pennsylvania Pathology Department and prior studies. Specifically, samples are classified as p16 positive when p16 immunohistochemistry has greater than or equal to 70% of tumor nuclear and cytoplasmic staining.

extract_protocol: DNA and RNA are extracted from the FFPE samples. Quality of extracted nucleic acids was determined by agarose gel electrophoresis and A260/280 measurements. Whole genome and transcriptome amplification (WTA) using the TransPlex Complete Whole Transcriptome Amplification Kit (Sigma- Aldrich, St. Louis, MO) was performed on extracted DNA and RNA samples (50 ng of DNA and 100 ng RNA) in accordance with manufacturer protocol. Reference human DNA and RNA was extracted from the human B cell line, BJAB (obtained from ATCC). The cell lines were cultured for less than 6 months and 15 ng of DNA and RNA were used for WTA. The human DNA and RNA served as a reference for determining cross-hybridization of probes to human sample amplified genome.

tag: sample type

value: RNA and DNA

source_name: BJAB


title: positive-node primary 2


title: positive-node primary 19


title: positive-node primary 23


title: positive-node primary 17


title: positive-node primary 4


title: positive-node primary 15


title: positive-node primary 3


title: positive-node primary 6


title: positive-node primary 21


title: positive-node primary 22


title: positive-node primary 20


title: positive-node primary 8


title: positive-node primary 5


title: positive-node primary 13


title: positive-node primary 18


title: positive-node primary 16


title: positive-node primary 9


title: positive lymph node 8

source_name: positive lymph node


title: positive lymph node 12


title: positive lymph node 7


title: positive-node primary 12


title: positive lymph node 20


title: positive-node primary 1


title: positive-node primary 14


title: positive-node primary 10


title: positive-node primary 11


title: positive lymph node 2


title: positive lymph node 4


title: positive lymph node 3


title: positive lymph node 15


title: positive lymph node 14


title: positive lymph node 9


title: positive lymph node 21


title: positive lymph node 19


title: positive lymph node 18


title: positive lymph node 5


title: positive lymph node 13


title: positive lymph node 17


title: positive lymph node 22


title: negative-node primary 10

source_name: negative-node primary


title: positive lymph node 11


title: positive lymph node 16


title: positive lymph node 6


title: positive lymph node 1


title: negative-node primary 1


title: negative-node primary 7


title: negative-node primary 4


title: negative-node primary 8


title: negative-node primary 6


title: negative-node primary 9


title: negative-node primary 15


title: negative-node primary 5


title: negative-node primary 3


title: negative-node primary 11


title: positive lymph node 10


title: negative-node primary 16


title: negative-node primary 13


title: negative-node primary 14


title: negative-node primary 21


title: negative-node primary 22


title: negative-node primary 12


title: negative-node primary 17


title: negative-node primary 2


title: negative lymph node 3

source_name: negative lymph node


title: negative-node primary 23


title: negative-node primary 19


title: negative lymph node 19


title: negative-node primary 18


title: negative lymph node 11


title: negative lymph node 20


title: negative lymph node 10


title: negative lymph node 14


title: negative lymph node 13


title: negative lymph node 15


title: negative lymph node 17


title: negative lymph node 22


title: negative lymph node 18


title: negative lymph node 21


title: negative lymph node 6


title: negative-node primary 20


title: negative lymph node 16


title: negative lymph node 4


title: negative lymph node 2


title: negative lymph node 5


title: negative lymph node 7


title: negative lymph node 1


title: tonsil specimens from patients with OSA 13

source_name: tonsil specimens from patients with obstructive sleep apnea


title: negative lymph node 12


title: tonsil specimens from patients with OSA 14


title: tonsil specimens from patients with OSA 16


title: tonsil specimens from patients with OSA 11


title: negative lymph node 8


title: tonsil specimens from patients with OSA 20


title: tonsil specimens from patients with OSA 15


title: tonsil specimens from patients with OSA 9


title: tonsil specimens from patients with OSA 18


title: 18504_NoTag_BY4741_ChIP-exo

city: Ithaca

first: B. Franklin

last: Pugh

state: New York

address: 465 Biotechnology Building

department: Molecular Biology and Genetics

institute: Cornell University

data_processing:
Library strategy: ChIP-exo
ChIP-exo reads were aligned using bwa-mem with the following settings: -v (1)  -T (30) -h (5)
Remove duplicate reads and generate a deduplicated BAM file. using picard MarkDuplicates and samtools
peaks were called using ChExMix version: 0.3 with the following setting: q-value (0.01) and the rest of the options as recommended defaults.
Genome_build: sacCer3
Supplementary_files_format_and_content: bed format, ChExMix peak calls

organism: Saccharomyces cerevisiae

growth_protocol: Yeast cells were grown to an O.D600 of 0.8 - 1.0 at 25°C.

extract_protocol:
Lysates were clarified from sonicated nuclei and protein-DNA complexes were isolated with IgG antibody.
Libraries were prepared for sequencing using standard Illumina protocols with modifications; Reference paper:http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3813302/

treatment_protocol: Cells were crosslinked with formaldehyde to a final concentration of 1.0%.

tag: antibody

value: TAP-tag:Sigma i5006

tag: growthmedia

value: YPD

tag: assaytype

value: ChIP-exo


title: 17814_NoTag_BY4741_ChIP-exo


title: 16073_NoTag_BY4741_ChIP-exo


title: 15818_NoTag_BY4741_ChIP-exo


title: tonsil specimens from patients with OSA 10


title: tonsil specimens from patients with OSA 12


title: negative lymph node 9


title: 15256_NoTag_BY4741_ChIP-exo


title: tonsil specimens from patients with OSA 21


title: tonsil specimens from patients with OSA 8


title: 14825_NoTag_BY4741_ChIP-exo


title: tonsil specimens from patients with OSA 22


title: tonsil specimens from patients with OSA 23


title: tonsil specimens from patients with OSA 19


title: tonsil specimens from patients with OSA 24


title: tonsil specimens from patients with OSA 3


title: 14637_NoTag_BY4741_ChIP-exo


title: tonsil specimens from patients with OSA 1


title: tonsil specimens from patients with OSA 2


title: tonsil specimens from patients with OSA 17


title: tonsil specimens from patients with OSA 7


title: tonsil specimens from patients with OSA 6


title: 14408_NoTag_BY4741_ChIP-exo


title: 14202_NoTag_BY4741_ChIP-exo


title: tonsil specimens from patients with OSA 4


title: 12880_NoTag_BY4741_ChIP-exo


title: 11851_NoTag_BY4741_ChIP-exo


title: 12094_NoTag_BY4741_ChIP-exo


title: HLB01 rep3

city: Shanghai

first: Liu

last: Wenwen

address: 130 Meilong Road

institute: East China University of Science and Technology

data_processing:
Illumina Casava1.8 software used for basecalling.
The raw paired end reads were trimmed and quality controlled by Fastp (https://github.com/OpenGene/fastp )with parameters -q 20 --length_required 30 -5 20 -3 20 -W 4 -M 20 -n 0.
Then clean reads were separately aligned to reference genome with orientation mode using hisat software.
the expression level of each transcript was calculated according to the fragments per Transcripts Per Million reads (TPM) method. RSEM (http://deweylab.biostat.wisc.edu/rsem/) was used to quantify gene abundances.
Genome_build: WBcel235
Supplementary_files_format_and_content: tab-delimited text files include TPM values for each sample.

organism: Caenorhabditis elegans

extract_protocol:
Total RNA was extracted from the sample using TRIzol® Reagent according the manufacturer’s instructions (Invitrogen) and genomic DNA was removed using DNase I (TaKara). Then RNA quality was determined by 2100 Bioanalyser (Agilent) and quantified using the ND-2000 (NanoDrop Technologies). Only high-quality RNA sample (OD260/280=1.8~2.2, OD260/230≥2.0, RIN≥6.5, 28S:18S≥1.0, >10μg) was used to construct sequencing library.
RNA libraries were prepared for sequencing using standard Illumina protocols

tag: agent


title: HLB01 rep1


title: tonsil specimens from patients with OSA 5


title: 11946_NoTag_BY4741_ChIP-exo


title: Control rep3


title: HLB01 rep2


title: Control rep1


title: Control rep2


title: TNF1_input

city: Rochester

first: Aditya

last: Bhagwate

state: MN

address: 200 1st Street SW

institute: Mayo Clinic

data_processing:
Basecalls performed using CASAVA version 1.4
Image data were processed using the Illumina Standard Pipeline.
Base-calling and data filtering processed by the Mayo Cliinc sequence core using the pipeline Cassava 1.7
Raw sequences were mapped to reference genome (hg38) using bowtie2 with default parameters
Peaks were called using MACS2
Genome_build: hg38
Supplementary_files_format_and_content: Peak files from MACS2; TDF Files

source_name: liver

growth_protocol: Human liver sinusoidual endothelial cells were purchased from Sciencell #5000 and maintained in endothelial medium

extract_protocol:
Chromatin input was prepeared by the combination of MNase treatment and sonication, and the chromatin associated with histone modification and transcription factor was isolated using indicated antibody.
Illumina NGS library preparation and paired-end index kits

treatment_protocol: LSEC cells were serum starved for 2 hours, treated with human TNFa or control for 90 mins and cells were harvested

value: Human primary LSEC


title: TNF2_input


title: Control


title: TNF2


title: NFKB TNF


title: Control2 for HSE-K27AC


title: Control2_input for HSE-K27AC


title: Control1 for HSE-K27AC


title: Control1_input for HSE-K27AC


title: 13484_NoTag_BY4741_ChIP-exo


title: 13822_NoTag_BY4741_ChIP-exo


title: iPSC neuron post-capture [WTCHG_473873_256229]

city: Oxford

first: Alexandra

last: Pokhilko

address: John Radcliffe Hospital, Headington

department: Nuffield Department of Clinical Neurosciences

institute: University of Oxford

data_processing:
RNA-seq data were mapped to the hg38 assembly via STAR version 2.4.2.
Ribosomal rRNA was removed with the SortMeRNA version 2.1.
Read quality check with FastQC Version 0.10.1.
Read alignment quantification into gene counts with featureCount of Subread version 1.4.0.
We excluded libraries with less than 2000 expressed genes; low complexity, where the % of 200 most expressed features represented more than 50% of total number of counts.
Genome_build: hg38 (GRCh38)
Supplementary_files_format_and_content: Supplementary files of raw counts are tab-delimited text files.

source_name: Dermal fibroblasts differentiated into iPS cells

growth_protocol: The growth protocol is described in Volpato et al., Stem Cell Rep. 2018, p.897-911. PMID: 30245212. Briefly, confluent monolayer iPSCs were induced by dual-SMAD inhibition for 12 days followed by three weeks of progenitor expansion and differentiation. Independent inductions were seeded into 12-well culture dishes at a final plating density of 8.5 x 10e4 cells /cm2. Samples were collected at day 55 after final plating.

extract_protocol:
RNeasy Mini Kits (QIAGEN) targeted enrichment with Roche NimbleGen SeqCap.
Libraries were prepared following the Smart-Seq2 protocol. Libraries were pooled in 288- or 384-plexes and each pool sequenced on 1 lane of HiSeq4000 at 75bp paired end.

tag: library

value: post-capture

value: iPSC-derived neuron

tag: lab

value: E

tag: batch


title: iPSC neuron post-capture [WTCHG_473873_256228]

tag: cell type


title: iPSC neuron post-capture [WTCHG_473873_256230]


title: iPSC neuron post-capture [WTCHG_473873_256227]

value: G


title: iPSC neuron post-capture [WTCHG_473873_256231]


title: iPSC neuron post-capture [WTCHG_473873_256226]


title: iPSC neuron post-capture [WTCHG_473873_256207]

value: D


title: iPSC neuron post-capture [WTCHG_473873_256225]


title: iPSC neuron post-capture [WTCHG_473873_256205]


title: iPSC neuron post-capture [WTCHG_473873_256202]


title: iPSC neuron post-capture [WTCHG_473873_256206]


title: iPSC neuron post-capture [WTCHG_473873_256203]


title: iPSC neuron post-capture [WTCHG_473873_256201]


title: iPSC neuron post-capture [WTCHG_473873_255231]


title: iPSC neuron post-capture [WTCHG_473873_255229]


title: TNF1


title: iPSC neuron post-capture [WTCHG_473873_255230]


title: iPSC neuron post-capture [WTCHG_473873_255228]


title: iPSC neuron post-capture [WTCHG_473873_255225]


title: iPSC neuron post-capture [WTCHG_473873_255206]


title: iPSC neuron post-capture [WTCHG_473873_255207]


title: iPSC neuron post-capture [WTCHG_473873_255204]


title: iPSC neuron post-capture [WTCHG_473873_255205]


title: iPSC neuron post-capture [WTCHG_473873_255226]


title: iPSC neuron post-capture [WTCHG_473873_255203]


title: iPSC neuron post-capture [WTCHG_473873_255202]


title: iPSC neuron post-capture [WTCHG_473873_255201]


title: iPSC neuron post-capture [WTCHG_473873_254231]


title: iPSC neuron post-capture [WTCHG_473873_254229]


title: iPSC neuron post-capture [WTCHG_473873_254227]


title: iPSC neuron post-capture [WTCHG_473873_254232]


title: iPSC neuron post-capture [WTCHG_473873_254226]


title: iPSC neuron post-capture [WTCHG_473873_254230]


title: iPSC neuron post-capture [WTCHG_473873_256204]


title: iPSC neuron post-capture [WTCHG_473873_254204]


title: iPSC neuron post-capture [WTCHG_473873_254206]


title: iPSC neuron post-capture [WTCHG_473873_254225]


title: iPSC neuron post-capture [WTCHG_473873_254208]


title: iPSC neuron post-capture [WTCHG_473873_253232]


title: iPSC neuron post-capture [WTCHG_473873_255227]


title: iPSC neuron post-capture [WTCHG_473873_253231]


title: iPSC neuron post-capture [WTCHG_473873_253230]


title: iPSC neuron post-capture [WTCHG_473873_253228]


title: iPSC neuron post-capture [WTCHG_473873_253227]


title: iPSC neuron post-capture [WTCHG_473873_253229]


title: iPSC neuron post-capture [WTCHG_473873_253225]


title: iPSC neuron post-capture [WTCHG_473873_253207]


title: iPSC neuron post-capture [WTCHG_473873_253208]


title: iPSC neuron post-capture [WTCHG_473873_253206]


title: iPSC neuron post-capture [WTCHG_473873_254228]


title: iPSC neuron post-capture [WTCHG_473873_253205]


title: iPSC neuron post-capture [WTCHG_473873_252232]


title: iPSC neuron post-capture [WTCHG_473873_252231]


title: iPSC neuron post-capture [WTCHG_473873_253203]


title: iPSC neuron post-capture [WTCHG_473873_252230]


title: iPSC neuron post-capture [WTCHG_473873_253201]


title: iPSC neuron post-capture [WTCHG_473873_253202]


title: iPSC neuron post-capture [WTCHG_473873_254207]


title: iPSC neuron post-capture [WTCHG_473873_254203]


title: iPSC neuron post-capture [WTCHG_473873_254201]


title: iPSC neuron post-capture [WTCHG_473873_252229]


title: iPSC neuron post-capture [WTCHG_473873_254205]


title: iPSC neuron post-capture [WTCHG_473873_252228]


title: iPSC neuron post-capture [WTCHG_473873_252225]


title: iPSC neuron post-capture [WTCHG_473873_252227]


title: iPSC neuron post-capture [WTCHG_473873_252208]


title: iPSC neuron post-capture [WTCHG_473873_254202]


title: iPSC neuron post-capture [WTCHG_473873_253226]


title: iPSC neuron post-capture [WTCHG_473873_252226]


title: iPSC neuron post-capture [WTCHG_473873_252206]


title: iPSC neuron post-capture [WTCHG_473873_252201]


title: iPSC neuron post-capture [WTCHG_473873_252202]


title: iPSC neuron post-capture [WTCHG_473873_251231]


title: iPSC neuron post-capture [WTCHG_473873_252205]


title: iPSC neuron post-capture [WTCHG_473873_251232]


title: iPSC neuron post-capture [WTCHG_473873_252203]


title: iPSC neuron post-capture [WTCHG_473873_253204]


title: iPSC neuron post-capture [WTCHG_473873_251230]


title: iPSC neuron post-capture [WTCHG_473873_251229]


title: iPSC neuron post-capture [WTCHG_473873_251228]


title: iPSC neuron post-capture [WTCHG_473873_251227]


title: iPSC neuron post-capture [WTCHG_473873_251226]


title: iPSC neuron post-capture [WTCHG_473873_251225]


title: iPSC neuron post-capture [WTCHG_473873_251208]


title: iPSC neuron post-capture [WTCHG_473873_251207]


title: iPSC neuron post-capture [WTCHG_473873_251206]


title: iPSC neuron post-capture [WTCHG_473873_251202]


title: iPSC neuron post-capture [WTCHG_473873_252207]


title: iPSC neuron post-capture [WTCHG_473873_251204]


title: iPSC neuron post-capture [WTCHG_473873_251205]


title: iPSC neuron post-capture [WTCHG_473873_251201]


title: iPSC neuron post-capture [WTCHG_473873_250232]


title: iPSC neuron post-capture [WTCHG_473873_252204]


title: iPSC neuron post-capture [WTCHG_473873_250230]


title: iPSC neuron post-capture [WTCHG_473873_250228]


title: iPSC neuron post-capture [WTCHG_473873_250227]


title: iPSC neuron post-capture [WTCHG_473873_250229]


title: iPSC neuron post-capture [WTCHG_473873_250225]


title: iPSC neuron post-capture [WTCHG_473873_250205]


title: iPSC neuron post-capture [WTCHG_473873_250206]


title: iPSC neuron post-capture [WTCHG_473873_250204]


title: iPSC neuron post-capture [WTCHG_473873_250203]


title: iPSC neuron post-capture [WTCHG_473873_250202]


title: iPSC neuron post-capture [WTCHG_473873_250201]


title: iPSC neuron post-capture [WTCHG_473873_249231]


title: iPSC neuron post-capture [WTCHG_473873_249230]


title: iPSC neuron post-capture [WTCHG_473873_249228]


title: iPSC neuron post-capture [WTCHG_473873_249229]


title: iPSC neuron post-capture [WTCHG_473873_251203]


title: iPSC neuron post-capture [WTCHG_473873_249227]


title: iPSC neuron post-capture [WTCHG_473873_249207]


title: iPSC neuron post-capture [WTCHG_473873_249225]


title: iPSC neuron post-capture [WTCHG_473873_250231]


title: iPSC neuron post-capture [WTCHG_473873_249206]


title: iPSC neuron post-capture [WTCHG_473873_249208]


title: iPSC neuron post-capture [WTCHG_473873_249226]


title: iPSC neuron post-capture [WTCHG_473873_249204]


title: iPSC neuron post-capture [WTCHG_473873_249203]


title: iPSC neuron post-capture [WTCHG_473873_249202]


title: iPSC neuron post-capture [WTCHG_473873_250208]


title: iPSC neuron post-capture [WTCHG_473873_249201]


title: iPSC neuron post-capture [WTCHG_473873_250207]


title: iPSC neuron post-capture [WTCHG_473873_250226]


title: iPSC neuron post-capture [WTCHG_473873_232232]


title: iPSC neuron post-capture [WTCHG_473873_232229]


title: iPSC neuron post-capture [WTCHG_473873_232228]


title: iPSC neuron post-capture [WTCHG_473873_232231]


title: iPSC neuron post-capture [WTCHG_473873_232225]


title: iPSC neuron post-capture [WTCHG_473873_249232]


title: iPSC neuron post-capture [WTCHG_473873_232230]


title: iPSC neuron post-capture [WTCHG_473873_232227]


title: iPSC neuron post-capture [WTCHG_473873_232208]


title: iPSC neuron post-capture [WTCHG_473873_232226]


title: iPSC neuron post-capture [WTCHG_473873_232207]


title: iPSC neuron post-capture [WTCHG_473873_232205]


title: iPSC neuron post-capture [WTCHG_473873_232203]


title: iPSC neuron post-capture [WTCHG_473873_232206]


title: iPSC neuron post-capture [WTCHG_473873_231232]


title: iPSC neuron post-capture [WTCHG_473873_249205]


title: iPSC neuron post-capture [WTCHG_473873_231231]


title: iPSC neuron post-capture [WTCHG_473873_232201]


title: iPSC neuron post-capture [WTCHG_473873_232204]


title: iPSC neuron post-capture [WTCHG_473873_231230]


title: iPSC neuron post-capture [WTCHG_473873_231229]


title: iPSC neuron post-capture [WTCHG_473873_231227]


title: iPSC neuron post-capture [WTCHG_473873_231208]


title: iPSC neuron post-capture [WTCHG_473873_231226]


title: iPSC neuron post-capture [WTCHG_473873_231228]


title: iPSC neuron post-capture [WTCHG_473873_231225]


title: iPSC neuron post-capture [WTCHG_473873_231207]


title: iPSC neuron post-capture [WTCHG_473873_231204]


title: iPSC neuron post-capture [WTCHG_473873_231201]


title: iPSC neuron post-capture [WTCHG_473873_230232]


title: iPSC neuron post-capture [WTCHG_473873_231206]


title: iPSC neuron post-capture [WTCHG_473873_230230]


title: iPSC neuron post-capture [WTCHG_473873_230229]


title: iPSC neuron post-capture [WTCHG_473873_231205]


title: iPSC neuron post-capture [WTCHG_473873_230227]


title: iPSC neuron post-capture [WTCHG_473873_231203]


title: iPSC neuron post-capture [WTCHG_473873_230226]


title: iPSC neuron post-capture [WTCHG_473873_230228]


title: iPSC neuron post-capture [WTCHG_473873_231202]


title: iPSC neuron post-capture [WTCHG_473873_230231]


title: iPSC neuron post-capture [WTCHG_473873_232202]


title: iPSC neuron post-capture [WTCHG_473873_230225]


title: iPSC neuron post-capture [WTCHG_473873_230208]


title: iPSC neuron post-capture [WTCHG_473873_230202]


title: iPSC neuron post-capture [WTCHG_473873_230204]


title: iPSC neuron post-capture [WTCHG_473873_230203]


title: iPSC neuron post-capture [WTCHG_473873_230201]


title: iPSC neuron post-capture [WTCHG_473873_229231]


title: iPSC neuron post-capture [WTCHG_473873_230205]


title: iPSC neuron post-capture [WTCHG_473873_229230]


title: iPSC neuron post-capture [WTCHG_473873_229232]


title: iPSC neuron post-capture [WTCHG_473873_230206]


title: iPSC neuron post-capture [WTCHG_473873_229227]


title: iPSC neuron post-capture [WTCHG_473873_229228]


title: iPSC neuron post-capture [WTCHG_473873_229226]


title: iPSC neuron post-capture [WTCHG_473873_229207]


title: iPSC neuron post-capture [WTCHG_473873_229208]


title: iPSC neuron post-capture [WTCHG_473873_229229]


title: iPSC neuron post-capture [WTCHG_473873_229206]


title: iPSC neuron post-capture [WTCHG_473873_229225]


title: iPSC neuron post-capture [WTCHG_473873_230207]


title: iPSC neuron post-capture [WTCHG_473873_229202]


title: iPSC neuron post-capture [WTCHG_473873_229203]


title: iPSC neuron post-capture [WTCHG_473873_228230]


title: iPSC neuron post-capture [WTCHG_473873_229204]


title: iPSC neuron post-capture [WTCHG_473873_229201]


title: iPSC neuron post-capture [WTCHG_473873_228225]


title: iPSC neuron post-capture [WTCHG_473873_228228]


title: iPSC neuron post-capture [WTCHG_473873_228226]


title: iPSC neuron post-capture [WTCHG_473873_228229]


title: iPSC neuron post-capture [WTCHG_473873_228227]


title: iPSC neuron post-capture [WTCHG_473873_228207]


title: iPSC neuron post-capture [WTCHG_473873_228206]


title: iPSC neuron post-capture [WTCHG_473873_228204]


title: iPSC neuron post-capture [WTCHG_473873_228205]


title: iPSC neuron post-capture [WTCHG_473873_228203]


title: iPSC neuron post-capture [WTCHG_473873_227231]


title: iPSC neuron post-capture [WTCHG_473873_228201]


title: iPSC neuron post-capture [WTCHG_473873_227230]


title: iPSC neuron post-capture [WTCHG_473873_228202]


title: iPSC neuron post-capture [WTCHG_473873_227228]


title: iPSC neuron post-capture [WTCHG_473873_227229]


title: iPSC neuron post-capture [WTCHG_473873_227207]


title: iPSC neuron post-capture [WTCHG_473873_227206]


title: iPSC neuron post-capture [WTCHG_473873_229205]


title: iPSC neuron post-capture [WTCHG_473873_227226]


title: iPSC neuron post-capture [WTCHG_473873_227227]


title: iPSC neuron post-capture [WTCHG_473873_227225]


title: iPSC neuron post-capture [WTCHG_473873_227205]


title: iPSC neuron post-capture [WTCHG_473873_228231]


title: iPSC neuron post-capture [WTCHG_473873_227202]


title: iPSC neuron post-capture [WTCHG_473873_227203]


title: iPSC neuron post-capture [WTCHG_473873_227201]


title: iPSC neuron post-capture [WTCHG_473873_227204]


title: iPSC neuron post-capture [WTCHG_473873_226228]


title: iPSC neuron post-capture [WTCHG_473873_226227]


title: iPSC neuron post-capture [WTCHG_473873_226226]


title: iPSC neuron post-capture [WTCHG_473873_226208]


title: iPSC neuron post-capture [WTCHG_473873_226225]


title: iPSC neuron post-capture [WTCHG_473873_226229]


title: iPSC neuron post-capture [WTCHG_473873_226230]


title: iPSC neuron post-capture [WTCHG_473873_226207]


title: iPSC neuron post-capture [WTCHG_473873_226206]


title: iPSC neuron post-capture [WTCHG_473873_226205]


title: iPSC neuron post-capture [WTCHG_473873_226203]


title: iPSC neuron post-capture [WTCHG_473873_226201]


title: iPSC neuron post-capture [WTCHG_473873_226202]


title: iPSC neuron post-capture [WTCHG_473873_226204]


title: iPSC neuron post-capture [WTCHG_473873_225232]


title: iPSC neuron post-capture [WTCHG_473873_225231]


title: iPSC neuron post-capture [WTCHG_473873_225230]


title: iPSC neuron post-capture [WTCHG_473873_225229]


title: iPSC neuron post-capture [WTCHG_473873_225225]


title: iPSC neuron post-capture [WTCHG_473873_225226]


title: iPSC neuron post-capture [WTCHG_473873_226232]


title: iPSC neuron post-capture [WTCHG_473873_225228]


title: iPSC neuron post-capture [WTCHG_473873_225207]


title: iPSC neuron post-capture [WTCHG_473873_226231]


title: iPSC neuron post-capture [WTCHG_473873_225227]


title: iPSC neuron post-capture [WTCHG_473873_225208]


title: iPSC neuron post-capture [WTCHG_473873_225205]


title: iPSC neuron post-capture [WTCHG_473873_225202]


title: iPSC neuron post-capture [WTCHG_473873_225204]


title: iPSC neuron post-capture [WTCHG_473873_208232]


title: iPSC neuron post-capture [WTCHG_473873_208231]


title: iPSC neuron post-capture [WTCHG_473873_225206]


title: iPSC neuron post-capture [WTCHG_473873_208230]


title: iPSC neuron post-capture [WTCHG_473873_225203]


title: iPSC neuron post-capture [WTCHG_473873_208229]


title: iPSC neuron post-capture [WTCHG_473873_208227]


title: iPSC neuron post-capture [WTCHG_473873_208226]


title: iPSC neuron post-capture [WTCHG_473873_208228]


title: iPSC neuron post-capture [WTCHG_473873_208208]


title: iPSC neuron post-capture [WTCHG_473873_208207]


title: iPSC neuron post-capture [WTCHG_473873_208206]


title: iPSC neuron post-capture [WTCHG_473873_208225]


title: iPSC neuron post-capture [WTCHG_473873_208205]


title: iPSC neuron post-capture [WTCHG_473873_208204]


title: iPSC neuron post-capture [WTCHG_473873_208203]


title: iPSC neuron post-capture [WTCHG_473873_208202]


title: iPSC neuron post-capture [WTCHG_473873_208201]


title: iPSC neuron post-capture [WTCHG_473873_207232]


title: iPSC neuron post-capture [WTCHG_473873_207230]


title: iPSC neuron post-capture [WTCHG_473873_207231]


title: iPSC neuron post-capture [WTCHG_473873_207229]


title: iPSC neuron post-capture [WTCHG_473873_207228]


title: iPSC neuron post-capture [WTCHG_473873_207227]


title: iPSC neuron post-capture [WTCHG_473873_207226]


title: iPSC neuron post-capture [WTCHG_473873_207208]


title: iPSC neuron post-capture [WTCHG_473873_225201]


title: iPSC neuron post-capture [WTCHG_473873_207206]


title: iPSC neuron post-capture [WTCHG_473873_207207]


title: iPSC neuron post-capture [WTCHG_473873_207205]


title: iPSC neuron post-capture [WTCHG_473873_207203]


title: iPSC neuron post-capture [WTCHG_473873_207204]


title: iPSC neuron post-capture [WTCHG_473873_207202]


title: iPSC neuron post-capture [WTCHG_473873_207201]


title: iPSC neuron post-capture [WTCHG_473873_206232]


title: iPSC neuron post-capture [WTCHG_473873_206231]


title: iPSC neuron post-capture [WTCHG_473873_206230]


title: iPSC neuron post-capture [WTCHG_473873_206229]


title: iPSC neuron post-capture [WTCHG_473873_206228]


title: iPSC neuron post-capture [WTCHG_473873_206225]


title: iPSC neuron post-capture [WTCHG_473873_206227]


title: iPSC neuron post-capture [WTCHG_473873_206208]


title: iPSC neuron post-capture [WTCHG_473873_206205]


title: iPSC neuron post-capture [WTCHG_473873_206206]


title: iPSC neuron post-capture [WTCHG_473873_206226]


title: iPSC neuron post-capture [WTCHG_473873_206207]


title: iPSC neuron post-capture [WTCHG_473873_206204]


title: iPSC neuron post-capture [WTCHG_473873_205232]


title: iPSC neuron post-capture [WTCHG_473873_207225]


title: iPSC neuron post-capture [WTCHG_473873_206202]


title: iPSC neuron post-capture [WTCHG_473873_205230]


title: iPSC neuron post-capture [WTCHG_473873_206203]


title: iPSC neuron post-capture [WTCHG_473873_206201]


title: iPSC neuron post-capture [WTCHG_473873_205227]


title: iPSC neuron post-capture [WTCHG_473873_205228]


title: iPSC neuron post-capture [WTCHG_473873_205229]


title: iPSC neuron post-capture [WTCHG_473873_205231]


title: iPSC neuron post-capture [WTCHG_473873_205208]


title: iPSC neuron post-capture [WTCHG_473873_205207]


title: iPSC neuron post-capture [WTCHG_473873_205206]


title: iPSC neuron post-capture [WTCHG_473873_205205]


title: iPSC neuron post-capture [WTCHG_473873_205204]


title: iPSC neuron post-capture [WTCHG_473873_205202]


title: iPSC neuron post-capture [WTCHG_473873_205203]


title: iPSC neuron post-capture [WTCHG_473873_205201]


title: iPSC neuron post-capture [WTCHG_473873_204232]


title: iPSC neuron post-capture [WTCHG_473873_204231]


title: iPSC neuron post-capture [WTCHG_473873_204229]


title: iPSC neuron post-capture [WTCHG_473873_204228]


title: iPSC neuron post-capture [WTCHG_473873_204226]


title: iPSC neuron post-capture [WTCHG_473873_204227]


title: iPSC neuron post-capture [WTCHG_473873_204225]


title: iPSC neuron post-capture [WTCHG_473873_204208]


title: iPSC neuron post-capture [WTCHG_473873_204207]


title: iPSC neuron post-capture [WTCHG_473873_204206]


title: iPSC neuron post-capture [WTCHG_473873_204204]


title: iPSC neuron post-capture [WTCHG_473873_204205]


title: iPSC neuron post-capture [WTCHG_473873_204203]


title: iPSC neuron post-capture [WTCHG_473873_204202]


title: iPSC neuron post-capture [WTCHG_473873_205226]


title: iPSC neuron post-capture [WTCHG_473873_203231]


title: iPSC neuron post-capture [WTCHG_473873_203232]


title: iPSC neuron post-capture [WTCHG_473873_203230]


title: iPSC neuron post-capture [WTCHG_473873_205225]


title: iPSC neuron post-capture [WTCHG_473873_204201]


title: iPSC neuron post-capture [WTCHG_473873_203229]


title: iPSC neuron post-capture [WTCHG_473873_203228]


title: iPSC neuron post-capture [WTCHG_473873_203226]


title: iPSC neuron post-capture [WTCHG_473873_204230]


title: iPSC neuron post-capture [WTCHG_473873_203227]


title: iPSC neuron post-capture [WTCHG_473873_203208]


title: iPSC neuron post-capture [WTCHG_473873_203205]


title: iPSC neuron post-capture [WTCHG_473873_203204]


title: iPSC neuron post-capture [WTCHG_473873_203203]


title: iPSC neuron post-capture [WTCHG_473873_203206]


title: iPSC neuron post-capture [WTCHG_473873_203207]


title: iPSC neuron post-capture [WTCHG_473873_203202]


title: iPSC neuron post-capture [WTCHG_473873_203201]


title: iPSC neuron post-capture [WTCHG_473873_202231]


title: iPSC neuron post-capture [WTCHG_473873_202230]


title: iPSC neuron post-capture [WTCHG_473873_202229]


title: iPSC neuron post-capture [WTCHG_473873_202225]


title: iPSC neuron post-capture [WTCHG_473873_202226]


title: iPSC neuron post-capture [WTCHG_473873_202207]


title: iPSC neuron post-capture [WTCHG_473873_202227]


title: iPSC neuron post-capture [WTCHG_473873_202208]


title: iPSC neuron post-capture [WTCHG_473873_202206]


title: iPSC neuron post-capture [WTCHG_473873_202204]


title: iPSC neuron post-capture [WTCHG_473873_202202]


title: iPSC neuron post-capture [WTCHG_473873_202205]


title: iPSC neuron post-capture [WTCHG_473873_202201]


title: iPSC neuron post-capture [WTCHG_473873_203225]


title: iPSC neuron post-capture [WTCHG_473873_201231]


title: iPSC neuron post-capture [WTCHG_473873_201232]


title: iPSC neuron post-capture [WTCHG_473873_201229]


title: iPSC neuron post-capture [WTCHG_473873_201230]


title: iPSC neuron post-capture [WTCHG_473873_201228]


title: iPSC neuron post-capture [WTCHG_473873_202232]


title: iPSC neuron post-capture [WTCHG_473873_201227]


title: iPSC neuron post-capture [WTCHG_473873_201207]


title: iPSC neuron post-capture [WTCHG_473873_201225]


title: iPSC neuron post-capture [WTCHG_473873_201208]


title: iPSC neuron post-capture [WTCHG_473873_201204]


title: iPSC neuron post-capture [WTCHG_473873_201205]


title: iPSC neuron post-capture [WTCHG_473873_201203]


title: iPSC neuron post-capture [WTCHG_473873_202228]


title: iPSC neuron pre-capture [WTCHG_264983_256231]

value: pre-capture


title: iPSC neuron post-capture [WTCHG_473873_202203]


title: iPSC neuron pre-capture [WTCHG_264983_256230]


title: iPSC neuron pre-capture [WTCHG_264983_256228]


title: iPSC neuron pre-capture [WTCHG_264983_256227]


title: iPSC neuron pre-capture [WTCHG_264983_256226]


title: iPSC neuron pre-capture [WTCHG_264983_256225]


title: iPSC neuron pre-capture [WTCHG_264983_256207]


title: iPSC neuron pre-capture [WTCHG_264983_256204]


title: iPSC neuron pre-capture [WTCHG_264983_256203]


title: iPSC neuron pre-capture [WTCHG_264983_256202]


title: iPSC neuron pre-capture [WTCHG_264983_256201]


title: iPSC neuron pre-capture [WTCHG_264983_255231]


title: iPSC neuron post-capture [WTCHG_473873_201206]


title: iPSC neuron post-capture [WTCHG_473873_201226]


title: iPSC neuron pre-capture [WTCHG_264983_255230]


title: iPSC neuron pre-capture [WTCHG_264983_255227]


title: iPSC neuron pre-capture [WTCHG_264983_255229]


title: iPSC neuron pre-capture [WTCHG_264983_255226]


title: iPSC neuron pre-capture [WTCHG_264983_255228]


title: iPSC neuron pre-capture [WTCHG_264983_255225]


title: iPSC neuron pre-capture [WTCHG_264983_255206]


title: iPSC neuron post-capture [WTCHG_473873_201202]


title: iPSC neuron pre-capture [WTCHG_264983_256229]


title: iPSC neuron pre-capture [WTCHG_264983_255204]


title: iPSC neuron pre-capture [WTCHG_264983_255203]


title: iPSC neuron pre-capture [WTCHG_264983_255202]


title: iPSC neuron pre-capture [WTCHG_264983_256206]


title: iPSC neuron post-capture [WTCHG_473873_201201]


title: iPSC neuron pre-capture [WTCHG_264983_255201]


title: iPSC neuron pre-capture [WTCHG_264983_254230]


title: iPSC neuron pre-capture [WTCHG_264983_254232]


title: iPSC neuron pre-capture [WTCHG_264983_254229]


title: iPSC neuron pre-capture [WTCHG_264983_254231]


title: iPSC neuron pre-capture [WTCHG_264983_256205]


title: iPSC neuron pre-capture [WTCHG_264983_254227]


title: iPSC neuron pre-capture [WTCHG_264983_254226]


title: iPSC neuron pre-capture [WTCHG_264983_254225]


title: iPSC neuron pre-capture [WTCHG_264983_254228]


title: iPSC neuron pre-capture [WTCHG_264983_254206]


title: iPSC neuron pre-capture [WTCHG_264983_254208]


title: iPSC neuron pre-capture [WTCHG_264983_255207]


title: iPSC neuron pre-capture [WTCHG_264983_254205]


title: iPSC neuron pre-capture [WTCHG_264983_254204]


title: iPSC neuron pre-capture [WTCHG_264983_254203]


title: iPSC neuron pre-capture [WTCHG_264983_254202]


title: iPSC neuron pre-capture [WTCHG_264983_253230]


title: iPSC neuron pre-capture [WTCHG_264983_253232]


title: iPSC neuron pre-capture [WTCHG_264983_255205]


title: iPSC neuron pre-capture [WTCHG_264983_253229]


title: iPSC neuron pre-capture [WTCHG_264983_253228]


title: iPSC neuron pre-capture [WTCHG_264983_253226]


title: iPSC neuron pre-capture [WTCHG_264983_253207]


title: iPSC neuron pre-capture [WTCHG_264983_253227]


title: iPSC neuron pre-capture [WTCHG_264983_253225]


title: iPSC neuron pre-capture [WTCHG_264983_253208]


title: iPSC neuron pre-capture [WTCHG_264983_253204]


title: iPSC neuron pre-capture [WTCHG_264983_253206]


title: iPSC neuron pre-capture [WTCHG_264983_252232]


title: iPSC neuron pre-capture [WTCHG_264983_253205]


title: iPSC neuron pre-capture [WTCHG_264983_252231]


title: iPSC neuron pre-capture [WTCHG_264983_253202]


title: iPSC neuron pre-capture [WTCHG_264983_253201]


title: iPSC neuron pre-capture [WTCHG_264983_253203]


title: iPSC neuron pre-capture [WTCHG_264983_252230]


title: iPSC neuron pre-capture [WTCHG_264983_252229]


title: iPSC neuron pre-capture [WTCHG_264983_254207]


title: iPSC neuron pre-capture [WTCHG_264983_253231]


title: iPSC neuron pre-capture [WTCHG_264983_254201]


title: iPSC neuron pre-capture [WTCHG_264983_252228]


title: iPSC neuron pre-capture [WTCHG_264983_252227]


title: iPSC neuron pre-capture [WTCHG_264983_252225]


title: iPSC neuron pre-capture [WTCHG_264983_252206]


title: iPSC neuron pre-capture [WTCHG_264983_252226]


title: iPSC neuron pre-capture [WTCHG_264983_252204]


title: iPSC neuron pre-capture [WTCHG_264983_252203]


title: iPSC neuron pre-capture [WTCHG_264983_252202]


title: iPSC neuron pre-capture [WTCHG_264983_252201]


title: iPSC neuron pre-capture [WTCHG_264983_251232]


title: iPSC neuron pre-capture [WTCHG_264983_251231]


title: iPSC neuron pre-capture [WTCHG_264983_251229]


title: iPSC neuron pre-capture [WTCHG_264983_251228]


title: iPSC neuron pre-capture [WTCHG_264983_251226]


title: iPSC neuron pre-capture [WTCHG_264983_251208]


title: iPSC neuron pre-capture [WTCHG_264983_251225]


title: iPSC neuron pre-capture [WTCHG_264983_251205]


title: iPSC neuron pre-capture [WTCHG_264983_251227]


title: iPSC neuron pre-capture [WTCHG_264983_251204]


title: iPSC neuron pre-capture [WTCHG_264983_251202]


title: iPSC neuron pre-capture [WTCHG_264983_252207]


title: iPSC neuron pre-capture [WTCHG_264983_252205]


title: iPSC neuron pre-capture [WTCHG_264983_252208]


title: iPSC neuron pre-capture [WTCHG_264983_250231]


title: iPSC neuron pre-capture [WTCHG_264983_251206]


title: iPSC neuron pre-capture [WTCHG_264983_250232]


title: iPSC neuron pre-capture [WTCHG_264983_251203]


title: iPSC neuron pre-capture [WTCHG_264983_251201]


title: iPSC neuron pre-capture [WTCHG_264983_250227]


title: iPSC neuron pre-capture [WTCHG_264983_250228]


title: iPSC neuron pre-capture [WTCHG_264983_250230]


title: iPSC neuron pre-capture [WTCHG_264983_250226]


title: iPSC neuron pre-capture [WTCHG_264983_250208]


title: iPSC neuron pre-capture [WTCHG_264983_250229]


title: iPSC neuron pre-capture [WTCHG_264983_250225]


title: iPSC neuron pre-capture [WTCHG_264983_250207]


title: iPSC neuron pre-capture [WTCHG_264983_251230]


title: iPSC neuron pre-capture [WTCHG_264983_250205]


title: iPSC neuron pre-capture [WTCHG_264983_250206]


title: iPSC neuron pre-capture [WTCHG_264983_250204]


title: iPSC neuron pre-capture [WTCHG_264983_250202]


title: iPSC neuron pre-capture [WTCHG_264983_250203]


title: iPSC neuron pre-capture [WTCHG_264983_251207]


title: iPSC neuron pre-capture [WTCHG_264983_250201]


title: iPSC neuron pre-capture [WTCHG_264983_249231]


title: iPSC neuron pre-capture [WTCHG_264983_249232]


title: iPSC neuron pre-capture [WTCHG_264983_249230]


title: iPSC neuron pre-capture [WTCHG_264983_249229]


title: iPSC neuron pre-capture [WTCHG_264983_249228]


title: iPSC neuron pre-capture [WTCHG_264983_249226]


title: iPSC neuron pre-capture [WTCHG_264983_249225]


title: iPSC neuron pre-capture [WTCHG_264983_249207]


title: iPSC neuron pre-capture [WTCHG_264983_249227]


title: iPSC neuron pre-capture [WTCHG_264983_249206]


title: iPSC neuron pre-capture [WTCHG_264983_249208]


title: iPSC neuron pre-capture [WTCHG_264983_249201]


title: iPSC neuron pre-capture [WTCHG_264983_232229]


title: iPSC neuron pre-capture [WTCHG_264983_249204]


title: iPSC neuron pre-capture [WTCHG_264983_232230]


title: iPSC neuron pre-capture [WTCHG_264983_249205]


title: iPSC neuron pre-capture [WTCHG_264983_232232]


title: iPSC neuron pre-capture [WTCHG_264983_249202]


title: iPSC neuron pre-capture [WTCHG_264983_232231]


title: iPSC neuron pre-capture [WTCHG_264983_232225]


title: iPSC neuron pre-capture [WTCHG_264983_249203]


title: iPSC neuron pre-capture [WTCHG_264983_232227]


title: iPSC neuron pre-capture [WTCHG_264983_232207]


title: iPSC neuron pre-capture [WTCHG_264983_232206]


title: iPSC neuron pre-capture [WTCHG_264983_232205]


title: iPSC neuron pre-capture [WTCHG_264983_232204]


title: iPSC neuron pre-capture [WTCHG_264983_232203]


title: iPSC neuron pre-capture [WTCHG_264983_232208]


title: iPSC neuron pre-capture [WTCHG_264983_232201]


title: iPSC neuron pre-capture [WTCHG_264983_232202]


title: iPSC neuron pre-capture [WTCHG_264983_231232]


title: iPSC neuron pre-capture [WTCHG_264983_231230]


title: iPSC neuron pre-capture [WTCHG_264983_231226]


title: iPSC neuron pre-capture [WTCHG_264983_231229]


title: iPSC neuron pre-capture [WTCHG_264983_231228]


title: iPSC neuron pre-capture [WTCHG_264983_231225]


title: iPSC neuron pre-capture [WTCHG_264983_231227]


title: iPSC neuron pre-capture [WTCHG_264983_231206]


title: iPSC neuron pre-capture [WTCHG_264983_232228]


title: iPSC neuron pre-capture [WTCHG_264983_231208]


title: iPSC neuron pre-capture [WTCHG_264983_231207]


title: iPSC neuron pre-capture [WTCHG_264983_231204]


title: iPSC neuron pre-capture [WTCHG_264983_231202]


title: iPSC neuron pre-capture [WTCHG_264983_232226]


title: iPSC neuron pre-capture [WTCHG_264983_231203]


title: iPSC neuron pre-capture [WTCHG_264983_230230]


title: iPSC neuron pre-capture [WTCHG_264983_230231]


title: iPSC neuron pre-capture [WTCHG_264983_231201]


title: iPSC neuron pre-capture [WTCHG_264983_230232]


title: iPSC neuron pre-capture [WTCHG_264983_230229]


title: iPSC neuron pre-capture [WTCHG_264983_230228]


title: iPSC neuron pre-capture [WTCHG_264983_230227]


title: iPSC neuron pre-capture [WTCHG_264983_230207]


title: iPSC neuron pre-capture [WTCHG_264983_230226]


title: iPSC neuron pre-capture [WTCHG_264983_230205]


title: iPSC neuron pre-capture [WTCHG_264983_230225]


title: iPSC neuron pre-capture [WTCHG_264983_230206]


title: iPSC neuron pre-capture [WTCHG_264983_231231]


title: iPSC neuron pre-capture [WTCHG_264983_230204]


title: iPSC neuron pre-capture [WTCHG_264983_230203]


title: iPSC neuron pre-capture [WTCHG_264983_229230]


title: iPSC neuron pre-capture [WTCHG_264983_229232]


title: iPSC neuron pre-capture [WTCHG_264983_231205]


title: iPSC neuron pre-capture [WTCHG_264983_230201]


title: iPSC neuron pre-capture [WTCHG_264983_229228]


title: iPSC neuron pre-capture [WTCHG_264983_230202]


title: iPSC neuron pre-capture [WTCHG_264983_229229]


title: iPSC neuron pre-capture [WTCHG_264983_229227]


title: iPSC neuron pre-capture [WTCHG_264983_229226]


title: iPSC neuron pre-capture [WTCHG_264983_229225]


title: iPSC neuron pre-capture [WTCHG_264983_229206]


title: iPSC neuron pre-capture [WTCHG_264983_229208]


title: iPSC neuron pre-capture [WTCHG_264983_229207]


title: iPSC neuron pre-capture [WTCHG_264983_229205]


title: iPSC neuron pre-capture [WTCHG_264983_228231]


title: iPSC neuron pre-capture [WTCHG_264983_229201]


title: iPSC neuron pre-capture [WTCHG_264983_229204]


title: iPSC neuron pre-capture [WTCHG_264983_229203]


title: iPSC neuron pre-capture [WTCHG_264983_229202]


title: iPSC neuron pre-capture [WTCHG_264983_228229]


title: iPSC neuron pre-capture [WTCHG_264983_230208]


title: iPSC neuron pre-capture [WTCHG_264983_228226]


title: iPSC neuron pre-capture [WTCHG_264983_228207]


title: iPSC neuron pre-capture [WTCHG_264983_228230]


title: iPSC neuron pre-capture [WTCHG_264983_228206]


title: iPSC neuron pre-capture [WTCHG_264983_228227]


title: iPSC neuron pre-capture [WTCHG_264983_228228]


title: iPSC neuron pre-capture [WTCHG_264983_228225]


title: iPSC neuron pre-capture [WTCHG_264983_228203]


title: iPSC neuron pre-capture [WTCHG_264983_227231]


title: iPSC neuron pre-capture [WTCHG_264983_228201]


title: iPSC neuron pre-capture [WTCHG_264983_227229]


title: iPSC neuron pre-capture [WTCHG_264983_227230]


title: iPSC neuron pre-capture [WTCHG_264983_227228]


title: iPSC neuron pre-capture [WTCHG_264983_229231]


title: iPSC neuron pre-capture [WTCHG_264983_227227]


title: iPSC neuron pre-capture [WTCHG_264983_228204]


title: iPSC neuron pre-capture [WTCHG_264983_228202]


title: iPSC neuron pre-capture [WTCHG_264983_227225]


title: iPSC neuron pre-capture [WTCHG_264983_227207]


title: iPSC neuron pre-capture [WTCHG_264983_227206]


title: iPSC neuron pre-capture [WTCHG_264983_227204]


title: iPSC neuron pre-capture [WTCHG_264983_227205]


title: iPSC neuron pre-capture [WTCHG_264983_227203]


title: iPSC neuron pre-capture [WTCHG_264983_227201]


title: iPSC neuron pre-capture [WTCHG_264983_227226]


title: iPSC neuron pre-capture [WTCHG_264983_226231]


title: iPSC neuron pre-capture [WTCHG_264983_226232]


title: iPSC neuron pre-capture [WTCHG_264983_226229]


title: iPSC neuron pre-capture [WTCHG_264983_226230]


title: iPSC neuron pre-capture [WTCHG_264983_226227]


title: iPSC neuron pre-capture [WTCHG_264983_226228]


title: iPSC neuron pre-capture [WTCHG_264983_228205]


title: iPSC neuron pre-capture [WTCHG_264983_226226]


title: iPSC neuron pre-capture [WTCHG_264983_226208]


title: iPSC neuron pre-capture [WTCHG_264983_226207]


title: iPSC neuron pre-capture [WTCHG_264983_226225]


title: iPSC neuron pre-capture [WTCHG_264983_226205]


title: iPSC neuron pre-capture [WTCHG_264983_226206]


title: iPSC neuron pre-capture [WTCHG_264983_226201]


title: iPSC neuron pre-capture [WTCHG_264983_226202]


title: iPSC neuron pre-capture [WTCHG_264983_225231]


title: iPSC neuron pre-capture [WTCHG_264983_226204]


title: iPSC neuron pre-capture [WTCHG_264983_226203]


title: iPSC neuron pre-capture [WTCHG_264983_227202]


title: iPSC neuron pre-capture [WTCHG_264983_225232]


title: iPSC neuron pre-capture [WTCHG_264983_225228]


title: iPSC neuron pre-capture [WTCHG_264983_225227]


title: iPSC neuron pre-capture [WTCHG_264983_225229]


title: iPSC neuron pre-capture [WTCHG_264983_225230]


title: iPSC neuron pre-capture [WTCHG_264983_225226]


title: iPSC neuron pre-capture [WTCHG_264983_225225]


title: iPSC neuron pre-capture [WTCHG_264983_225205]


title: iPSC neuron pre-capture [WTCHG_264983_225208]


title: iPSC neuron pre-capture [WTCHG_264983_225203]


title: iPSC neuron pre-capture [WTCHG_264983_225207]


title: iPSC neuron pre-capture [WTCHG_264983_225201]


title: iPSC neuron pre-capture [WTCHG_264983_208231]


title: iPSC neuron pre-capture [WTCHG_264983_208229]


title: iPSC neuron pre-capture [WTCHG_264983_225206]


title: iPSC neuron pre-capture [WTCHG_264983_225204]


title: iPSC neuron pre-capture [WTCHG_264983_225202]


title: iPSC neuron pre-capture [WTCHG_264983_208232]


title: iPSC neuron pre-capture [WTCHG_264983_208230]


title: iPSC neuron pre-capture [WTCHG_264983_208228]


title: iPSC neuron pre-capture [WTCHG_264983_208226]


title: iPSC neuron pre-capture [WTCHG_264983_208207]


title: iPSC neuron pre-capture [WTCHG_264983_208204]


title: iPSC neuron pre-capture [WTCHG_264983_208205]


title: iPSC neuron pre-capture [WTCHG_264983_207232]


title: iPSC neuron pre-capture [WTCHG_264983_207231]


title: iPSC neuron pre-capture [WTCHG_264983_208225]


title: iPSC neuron pre-capture [WTCHG_264983_208202]


title: iPSC neuron pre-capture [WTCHG_264983_208208]


title: iPSC neuron pre-capture [WTCHG_264983_208201]


title: iPSC neuron pre-capture [WTCHG_264983_207208]


title: iPSC neuron pre-capture [WTCHG_264983_207229]


title: iPSC neuron pre-capture [WTCHG_264983_207228]


title: iPSC neuron pre-capture [WTCHG_264983_207230]


title: iPSC neuron pre-capture [WTCHG_264983_207227]


title: iPSC neuron pre-capture [WTCHG_264983_207205]


title: iPSC neuron pre-capture [WTCHG_264983_207226]


title: iPSC neuron pre-capture [WTCHG_264983_207203]


title: iPSC neuron pre-capture [WTCHG_264983_207225]


title: iPSC neuron pre-capture [WTCHG_264983_208227]


title: iPSC neuron pre-capture [WTCHG_264983_207207]


title: iPSC neuron pre-capture [WTCHG_264983_206230]


title: iPSC neuron pre-capture [WTCHG_264983_207206]


title: iPSC neuron pre-capture [WTCHG_264983_207201]


title: iPSC neuron pre-capture [WTCHG_264983_207204]


title: iPSC neuron pre-capture [WTCHG_264983_206232]


title: iPSC neuron pre-capture [WTCHG_264983_206231]


title: iPSC neuron pre-capture [WTCHG_264983_207202]


title: iPSC neuron pre-capture [WTCHG_264983_206225]


title: iPSC neuron pre-capture [WTCHG_264983_208206]


title: iPSC neuron pre-capture [WTCHG_264983_206226]


title: iPSC neuron pre-capture [WTCHG_264983_208203]


title: iPSC neuron pre-capture [WTCHG_264983_206208]


title: iPSC neuron pre-capture [WTCHG_264983_206228]


title: iPSC neuron pre-capture [WTCHG_264983_206204]


title: iPSC neuron pre-capture [WTCHG_264983_206227]


title: iPSC neuron pre-capture [WTCHG_264983_206207]


title: iPSC neuron pre-capture [WTCHG_264983_206203]


title: iPSC neuron pre-capture [WTCHG_264983_206205]


title: iPSC neuron pre-capture [WTCHG_264983_206202]


title: iPSC neuron pre-capture [WTCHG_264983_206201]


title: iPSC neuron pre-capture [WTCHG_264983_205231]


title: iPSC neuron pre-capture [WTCHG_264983_206206]


title: iPSC neuron pre-capture [WTCHG_264983_205232]


title: iPSC neuron pre-capture [WTCHG_264983_206229]


title: iPSC neuron pre-capture [WTCHG_264983_205226]


title: iPSC neuron pre-capture [WTCHG_264983_205230]


title: iPSC neuron pre-capture [WTCHG_264983_205227]


title: iPSC neuron pre-capture [WTCHG_264983_205225]


title: iPSC neuron pre-capture [WTCHG_264983_205229]


title: iPSC neuron pre-capture [WTCHG_264983_205207]


title: iPSC neuron pre-capture [WTCHG_264983_205205]


title: iPSC neuron pre-capture [WTCHG_264983_205204]


title: iPSC neuron pre-capture [WTCHG_264983_205203]


title: iPSC neuron pre-capture [WTCHG_264983_205202]


title: iPSC neuron pre-capture [WTCHG_264983_205206]


title: iPSC neuron pre-capture [WTCHG_264983_204232]


title: iPSC neuron pre-capture [WTCHG_264983_205201]


title: iPSC neuron pre-capture [WTCHG_264983_204228]


title: iPSC neuron pre-capture [WTCHG_264983_204230]


title: iPSC neuron pre-capture [WTCHG_264983_204225]


title: iPSC neuron pre-capture [WTCHG_264983_204226]


title: iPSC neuron pre-capture [WTCHG_264983_204205]


title: iPSC neuron pre-capture [WTCHG_264983_205228]


title: iPSC neuron pre-capture [WTCHG_264983_204206]


title: iPSC neuron pre-capture [WTCHG_264983_204203]


title: iPSC neuron pre-capture [WTCHG_264983_203231]


title: iPSC neuron pre-capture [WTCHG_264983_204207]


title: iPSC neuron pre-capture [WTCHG_264983_204208]


title: iPSC neuron pre-capture [WTCHG_264983_204227]


title: iPSC neuron pre-capture [WTCHG_264983_204201]


title: iPSC neuron pre-capture [WTCHG_264983_204202]


title: iPSC neuron pre-capture [WTCHG_264983_205208]


title: iPSC neuron pre-capture [WTCHG_264983_203232]


title: iPSC neuron pre-capture [WTCHG_264983_204231]


title: iPSC neuron pre-capture [WTCHG_264983_203208]


title: iPSC neuron pre-capture [WTCHG_264983_203230]


title: iPSC neuron pre-capture [WTCHG_264983_203205]


title: iPSC neuron pre-capture [WTCHG_264983_203206]


title: iPSC neuron pre-capture [WTCHG_264983_203201]