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Sample GSM4971603 Query DataSets for GSM4971603
Status Public on Apr 01, 2021
Title MDA-MB-231 untreated replicate 1
Sample type SRA
 
Source name Breast carcinoma
Organism Homo sapiens
Characteristics cell line: MDA-MB-231
treatment: No treatment
Treatment protocol 50IU of IFNγ
Growth protocol MDA-MB-231 cells were cultured in DMEM supplemented with 10% fetal bovine serum, 1% Penicillin/streptomycin and L-glutamine (2 mM) (Gibco) at 37°C with 5% CO2. Total RNA was extracted from 1x10^5 MDA-MB-231 cells in three biological replicates of IFNγ treated and untreated conditions using RNeasy mini kit (Qiagen).
Extracted molecule total RNA
Extraction protocol Qiagen RNeasy mini kit to extract the RNA and QC on nanodrop to determine concentration.
Library construct was done by BGI (Paired-end, 30 million bp with 1% ERCC spike in control).
 
Library strategy RNA-Seq
Library source transcriptomic
Library selection cDNA
Instrument model BGISEQ-500
 
Description NonStrandedCounts-withNames.txt
Data processing BGI normalised the sequence fastaq data to the 1% ERCC spike in control
raw fastq files were processed from alignment to raw count files using RNAsik software on Massive 3 that wrapped aroudn the following tools/packages: STAR 2.5.2b, qualimap v2.2.1, BigDataScript 0.99999g, bwa v0.7.15, samtools v1.4.1, RNAsik-pipe 1.5.0, subread/1.5.2, bedtools2 v2.25.0, python v3.6.2, picard v2.18.0, multiqc v1.4, gcc v4.9.3, fastqc v0.11.5 and java v8u144
Raw count files were filltered and QC using the following steps… :
removal of 0 counts, prinicple component analysis (outliers were removed if >3SD), removal of genes were the average <10 counts across the samples.
filtered counts were normalised using EdgeR TMM
Genome_build: GRCh37 homo sapian
Supplementary_files_format_and_content: raw count file created using RNAsik pipeline (.txt)
Supplementary_files_format_and_content: Differential gene expression of all genes that passed filltering (.csv)
 
Submission date Dec 11, 2020
Last update date Apr 01, 2021
Contact name Gabriel Goncalves
E-mail(s) [email protected]
Phone 0432700015
Organization name Monash University
Street address 15 Innovation walk
City Clayton
State/province VICTORIA
ZIP/Postal code 3168
Country Australia
 
Platform ID GPL23227
Series (1)
GSE163067 IFNγ modulates the immunopeptidome of triple negative breast cancer cells by enhancing and diversifying antigen processing and presentation
Relations
BioSample SAMN17061496
SRA SRX9674606

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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