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Sample GSM1978249 Query DataSets for GSM1978249
Status Public on Dec 23, 2015
Title ATAC-seq Acinar2
Sample type SRA
 
Source name pancreatic islets
Organism Homo sapiens
Characteristics cell type: acinar
donor: ACFV445
Treatment protocol Islets underwent fluorescence-activated cell sorting using cell-surface antibodies (HIC1-2B4, HIC3-2D12, and HIC1-1C10) to separate alpha, beta, and acinar cells.
Growth protocol Islets were cultured either in CMRL1066 with 0.5% human albumin, 2 mM L-glutamine, 1% heparin, and 1% penicillin/streptomycin or in Prodo PIM(S) media supplemented with 5% PIM(ABS) and 1% PIM(G) at 37oC with 5% CO2.
Extracted molecule genomic DNA
Extraction protocol Nuclei were isolated from cells by lysing in 50 ul/50,000 cells of lysis buffer (10 mM Tris-HCl pH 7.4, 10 mM NaCl, 3 mM MgCl2, 0.1% NP-40), followed by centrifugation at 500 x g for 10 minutes at 4 degrees Celsius. Transposition was performed using 50 ul/50,000 cells of transposition reaction mix (25 ul TD buffer, 2.5 ul Tn5 transposase, 22.5 ul nuclease-free water) from the Illumina-Compatible Nextera DNA Sample Prep Kit (Part# FC-121-1030) for 30 minutes at 37 degrees Celsius. DNA was then purified using the Qiagen MinElute PCR Purification Kit (Part# 28004) and eluted in 10 ul of elution buffer.
Libraries were prepared using Nextera barcoded primers and NEBNext High-Fidelity 2X PCR Master Mix (Part# M0541).
 
Library strategy OTHER
Library source genomic
Library selection other
Instrument model Illumina NextSeq 500
 
Data processing Library strategy: ATAC-seq
ATACseq: Illumina adapters were trimmed by Trimmomatic, and the 50 bp reads were trimmed by 10 bp with fastx_trimmer, then all reads were combined for each sample and aligned to hg18 with bowtie2 using default settings. Reads mapped to mitochrondrial DNA and low quality reads (MAPQ<10, duplicates and reads in Encode blacklist regions) were removed. All reads left were offset by +4 bp for + strand and −5 bp for – strand. Peaks were called for each sample using MACS2 with parameters “-q 0.05 --nomodel --shift 37 --extsize 73”.
RNAseq: High quality RNA-seq reads were aligned to the human genome and transcriptome (hg18) using the RNA-seq Unified Mapper (RUM). Aligned reads were filtered for rRNA reads using BLAST alignment against the known rRNA sequences, and all reads aligning to the mitochondrial genome were also discarded. Aligned reads were used to determine unambiguous read counts for each gene in the refGene database using HTSeq, i.e., only reads uniquely assigned to a single gene were counted. All differential expression analysis was performed using the GLM functions in the EdgeR package.
Genome_build: hg18
Supplementary_files_format_and_content: bed files from MACS2 for ATACseq peak summit locations; tab-delimited text files include read counts for each RNAseq ample
 
Submission date Dec 22, 2015
Last update date May 15, 2019
Contact name Paul Wang
E-mail(s) zhipwang@mail.med.upenn.edu
Phone 215573117
Organization name University of Pennsylvania
Street address 3700 Hamilton Walk
City Philadelphia
State/province PA
ZIP/Postal code 19104
Country USA
 
Platform ID GPL18573
Series (1)
GSE76268 Integration of ATAC-seq and RNA-seq Identifies Human Alpha Cell and Beta Cell Signature Genes
Relations
BioSample SAMN04362228
SRA SRX1497366

Supplementary file Size Download File type/resource
GSM1978249_ACFV445acinar2_summits.bed.gz 731.2 Kb (ftp)(http) BED
SRA Run SelectorHelp
Raw data are available in SRA
Processed data provided as supplementary file

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