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Sample GSM2771612 Query DataSets for GSM2771612
Status Public on Sep 11, 2017
Title LREXJQ1_rep3_RNASeq
Sample type SRA
 
Source name LREXJQ1
Organism Homo sapiens
Characteristics cell line: LREX' tumor
treatment: JQ1
Growth protocol Standard growth conditions as outlined in methods of paper
Extracted molecule total RNA
Extraction protocol ChIP protocol outlined in methods of paper; Tumors harvested and flash frozen in liquid nitrogen, RNA was extracted via lysing in MP Biomedical Lysing Matrix tubes in homogenizer, then Trizol extraction, followed by cleanup using Qiagen RNEasy columns
ChIP-seq and RNA-seq libraries prepared using standard KAPA Hyper Library and Illumina protocols
 
Library strategy RNA-Seq
Library source transcriptomic
Library selection cDNA
Instrument model Illumina HiSeq 2500
 
Description counts_RNASeq.txt
Data processing For ChIPSeq, reads were aligned to the human genome (hg19) using Bowtie (v1.1.1) with default parameters and the results were converted to bam files by Samtools. Reads mapped to a single genomic location were kept and redundant ones were filtered out.
For ChemSeq, reads were aligned to the human genome (hg19) using Bowtie (v1.1.1) with default parameters and the results were converted to bam files by Samtools. Reads mapped to a single genomic location were kept and redundant ones were filtered out.
For RNASeq, reads were aligned to the human genome (hg19) using STAR (v2.4.2a). The number of RNA-seq fragments mapped to each gene was determined for all genes in the GENCODE database (v19) using the HTSeq.
Genome_build: hg19
Supplementary_files_format_and_content: For ChIPSeq and ChemSeq, Tdf files were generated from the bam files by Igvtools with default parameters for visualization in IGV. For RNASeq, counts were generated by HTSeq.
 
Submission date Sep 05, 2017
Last update date May 15, 2019
Contact name Deyou Zheng
E-mail(s) deyou.zheng@einstein.yu.edu
Organization name Albert Einstein College of Medicine
Street address 1301 Morris Park Ave
City Bronx
State/province NY
ZIP/Postal code 10461
Country USA
 
Platform ID GPL16791
Series (1)
GSE103449 Regulation of the glucocorticoid receptor via a BET-dependent enhancer drives antiandrogen resistance in prostate cancer
Relations
BioSample SAMN07604380
SRA SRX3159255

Supplementary data files not provided
SRA Run SelectorHelp
Raw data are available in SRA
Processed data are available on Series record

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