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Sample GSM7748883 Query DataSets for GSM7748883
Status Public on Sep 04, 2023
Title RCC4, IFNg + TNF treated, biol rep 2, DRS
Sample type SRA
 
Source name RCC4
Organism Homo sapiens
Characteristics cell line: RCC4
cell type: Renal cell carcinoma epithelial cell
treatment: IFNg + TNF
Treatment protocol RCC4 cells were treated with pro-inflammatory cytokines IFN-γ (1000U/mL) and TNF (25 ng/mL) for 24 hours before harvested for RNA extraction. 3 flasks of T75s were used for each biological replicate
Growth protocol RCC4 cells were maintained at 37C in a humidified atmosphere of 5% CO2 and grown in complete Dulbecco’s Modified Eagle’s Medium (DMEM). Complete DMEM media was prepared by using DMEM, supplemented with 10% foetal bovine serum (FCS), 1% 200 mM L-Glutamine and 1% penicillin/streptomycin.
Extracted molecule polyA RNA
Extraction protocol Cells were first washed with ice-cold PBS (Gibco), followed by lysis with Qiazol (Qiagen). Total RNA was extracted using RNeasy RNA extraction kit (Qiagen) with an additional Dnase I digestion (QIAGEN) according to manufacturer's instruction. Poly(A)+ RNA molecules were enriched from total RNA with the Dynabeads mRNA purification kit (Thermo Fisher).
Sequencing libraries were generated using the SQK-RNA002 sequencing kit using 500ng of polyA enriched RNA following manufacturer's protocol
 
Library strategy RNA-Seq
Library source transcriptomic
Library selection cDNA
Instrument model PromethION
 
Data processing RNAseq reads with a minimum MinKNOW read quality threshold of Q<7 were mapped to hg38 with minimap2 (version 2.24) using the recommended parameters for Oxford Nanopore Technologies direct RNA sequencing (-ax splice -uf -k14). Samtools (version 1.16) was used to filter out low mapping quality alignments (MAPQ < 10). Reads per gene were counted using featureCounts (version 2.0.0) with long-read counting mode (-L).
Assembly: hg38
Supplementary files format and content: Tab-delimited count matrix files containing raw read counts mapped to the reference genome
 
Submission date Aug 31, 2023
Last update date Sep 04, 2023
Contact name Joshua Lee
E-mail(s) josh.lee@york.ac.uk
Organization name University of York
Department Hull York Medical School
Street address University Road
City York
ZIP/Postal code YO10 5DD
Country United Kingdom
 
Platform ID GPL26167
Series (1)
GSE242084 Long read transcriptome sequencing of ccRCC tumour cell line RCC4
Relations
BioSample SAMN37217652
SRA SRX21566074

Supplementary file Size Download File type/resource
GSM7748883_rcc4_ifngtnf_2.tsv.gz 4.9 Mb (ftp)(http) TSV
SRA Run SelectorHelp
Raw data are available in SRA
Processed data provided as supplementary file

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