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Sample GSM2098681 Query DataSets for GSM2098681
Status Public on Apr 01, 2017
Title MDAMB231-PRRX1-54
Sample type SRA
 
Source name breast cancer cell line
Organism Homo sapiens
Characteristics strain: MDAMB231 cells
tissue: breast
Extracted molecule total RNA
Extraction protocol RNA was extracted from cells using an RNeasy kit (Qiagen)
RNA libraries were prepared for sequencing using standard Illumina protocols
 
Library strategy RNA-Seq
Library source transcriptomic
Library selection cDNA
Instrument model Illumina HiSeq 2500
 
Data processing Raw reads in the fastq format were aligned to Human Genome HG19 using the RNA-seq STAR aligner version 2.4.0d (http://www.ncbi.nlm.nih.gov/pubmed/23104886, http://www.ncbi.nlm.nih.gov/pubmed/26334920) as recommended by user manual downloaded along with the software. STAR aligner was chosen for mapping accuracy and speed (http://www.nature.com/nmeth/journal/v10/n12/full/nmeth.2722.html). Mapped reads for each sample were counted for each gene in annotation files in GTF format (gencode.v19.annotation.gtf available for download from GENECODE website (http://www.gencodegenes.org/releases/19.html)) using the FeatureCounts read summarization program (http://www.ncbi.nlm.nih.gov/pubmed/?term=24227677) following the user guide (http://bioinf.wehi.edu.au/subread-package/SubreadUsersGuide.pdf). Individual count files were merged to generate the raw-counts matrix by an in-house R script, normalized to account for differences in library size and the variance was stabilized by fitting the dispersion to a negative-binomial distribution as implemented in the DESeq R package (http://bioconductor.org/packages/release/bioc/html/DESeq.html)(Anders and Huber, 2010).
Genome_build: HG19
Supplementary_files_format_and_content: txt file contains feature count matrix
 
Submission date Mar 24, 2016
Last update date May 15, 2019
Contact name Logan A Walsh
E-mail(s) [email protected]
Phone 6468882783
Organization name Memorial Sloan Kettering Cancer Center
Department Human Oncology and Pathogenesis Program
Lab Timothy Chan
Street address 1275 York Ave
City New York
State/province NY
ZIP/Postal code 10065
Country USA
 
Platform ID GPL16791
Series (2)
GSE79586 Next generation sequencing facilitates quantitative analysis of changes in mRNA after knock-down of putative master regulators of the breast cancer metastasis transcriptome.
GSE79589 TRIM25
Relations
BioSample SAMN04578770
SRA SRX1660746

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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