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Sample GSM1513196 Query DataSets for GSM1513196
Status Public on Dec 19, 2014
Title GM18510
Sample type SRA
 
Source name lymphoblastoid cell lines derived fromHapMap Yoruba individual
Organism Homo sapiens
Characteristics gender: Male
cell line: GM18510
cell type: Lymphoblastoid Cell Line
enrichment type: ribosome protected fragments
molecule subtype: cytoplasmic RNA
Biomaterial provider http://ccr.coriell.org/Sections/Search/Search.aspx?PgId=165&q=GM18510
Growth protocol Cells were cultured at 37 degree Celsius and 5% CO2 in RPMI 1640 (supplemented with 2mM L-glutamine and 15% fetal bovine serum)
Extracted molecule total RNA
Extraction protocol Ribosome footprint profiling experiments were performed using ARTseqTM Ribosome Profiling kit for mammalian cells (RPHMR12126) following vendor’s instructions. Cell lysates were prepared from flash frozen pellets of 30 to 50 million live cells by repeat pipetting in 1 ml cold lysis buffer. Sephacryl S400 spin column (GE; 27-5140-01) was used for monosome isolation. For rRNA depletion, Ribo-Zero Magnetic Kit (Epicentre; MRZH11124) was used.
Ribosome footprint cDNA libraries were PCR amplified (12 to 15 thermo-cycles) and barcoded using ScriptMiner Index PCR Primers (Epicentre; SMIP2124). Indexed libraries were pooled to sequence on an Illumina HiSeq 2500.
 
Library strategy RNA-Seq
Library source transcriptomic
Library selection cDNA
Instrument model Illumina HiSeq 2500
 
Data processing Raw data provided are fastq files after the following processing. FASTX-Toolkit were used to clip the adaptor sequence and trim the 5' most base for each read. Reads that are shorter than 22-nt or that are mapped to rRNA, tRNA, snoRNA using bowtie were removed from the file.
Processed reads are then map to human genome (hg19) using tophat. Uniquely mapped reads are used to intersect with Ensembl gene annotation using BEDTools to get read count per gene for each individual.
Genome_build: hg19
Supplementary_files_format_and_content: Processed data file contains read count per Ensembl gene for each individual. It is organized with one individual per column and one gene per row.
 
Submission date Sep 25, 2014
Last update date May 15, 2019
Contact name Sidney Wang
E-mail(s) siddisis@gmail.com
Organization name University of Chicago
Department Human Genetics
Street address 920 E. 58th Street, CLSC 317
City Chicago
State/province IL
ZIP/Postal code 60637
Country USA
 
Platform ID GPL16791
Series (1)
GSE61742 Impact of regulatory variation from RNA to protein
Relations
BioSample SAMN03079257
SRA SRX709838

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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