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Sample GSM1217937 Query DataSets for GSM1217937
Status Public on Aug 28, 2013
Title ICRH025_Alpha_H3K27me3
Sample type SRA
 
Source name FACS-sorted pancreatic islet
Organism Homo sapiens
Characteristics tissue: pancreatic islets
cell type: Alpha
donor id: ICRH025
chip-seq antibody: H3K27me3
Treatment protocol None
Growth protocol None
Extracted molecule genomic DNA
Extraction protocol We performed FACS sorting on dispersed human islets using cell surface antibodies (1:20) and secondary antibodies (1:200; 115-116-075, 115-135-164, Jackson ImmunoResearch) as described before (Dorrell C, et al. Stem Cell Res 2008) to obtain cell populations highly enriched for alpha, beta, and exocrine (duct and acinar) cells. Total RNA was isolated from whole islets, and sorted alpha, beta, and exocrine cells using the Ambion mirVana miRNA Isolation Kit (AM1560) reverse transcribed to cDNA using SuperScript II reverse transcriptase (Invitrogen). ChIP and preparation of ChIP-Seq libraries was performed on individual cell sorts for each cell type and donor (H3K4me3: 8580, Abcam; H3K27me3: 07-449. Upstate).
DNA from ChIP or reverse transcription was treated by blunt end repair and ligation of sequencing adapters. Adapter-ligated fragments were size select to roughly 200bp and amplified by PCR. Final libraries were verified on an Agilent Technologies 2100 BioAnalyzer to check size, purity, and concentration of the library prior to sequencing.
 
Library strategy ChIP-Seq
Library source genomic
Library selection ChIP
Instrument model Illumina Genome Analyzer IIx
 
Description Sample name: FGC0151_s_2
Data processing Sequence reads and quality scores were extracted using Illumina CASAVA Pipeline v1.7
ChIP-seq reads were aligned to the human genome using ELAND, RNA-seq reads were aligned to the human genome/transcriptome using RUM
H3K4me3 ChIP-seq peak calling was performed with GLITR. H3K27me3 ChIP-seq peak calling was performed with STAR.
RNA-seq transcript quantification was performed with RUM.
Genome_build: hg18
Supplementary_files_format_and_content: Peak calls (ChIP-seq) and transcript quantification (RNA-seq), all in BED format.
 
Submission date Aug 28, 2013
Last update date May 15, 2019
Contact name Logan J Everett
Organization name U.S. Environmental Protection Agency
Department Office of Research and Development
Lab Center for Computational Toxicology and Exposure
Street address 109 T.W. Alexander Dr
City RTP
State/province North Carolina
ZIP/Postal code 27711
Country USA
 
Platform ID GPL10999
Series (1)
GSE50386 Epigenomic plasticity enables human pancreatic alpha to beta cell reprogramming
Relations
BioSample SAMN02338365
SRA SRX340798

Supplementary file Size Download File type/resource
GSM1217937_kknb_151_2_rd_28M_5000_1000_0p005_spanstar.bed.gz 478.3 Kb (ftp)(http) BED
SRA Run SelectorHelp
Raw data are available in SRA
Processed data provided as supplementary file

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