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Sample GSM6209721 Query DataSets for GSM6209721
Status Public on Sep 14, 2023
Title kidney cancer tissue rep1
Sample type SRA
 
Source name kidney cancer tissue
Organism Homo sapiens
Characteristics tissue: kidney cancer tissue
Extracted molecule total RNA
Extraction protocol RNA was extracted using the RNAiso Plus (Takara, 9109) according to manufacturer’s protocol.
Sequencing libraries were prepared using the VAHTS Stranded mRNA-Seq Library Prep Kit (Vazyme, NR602-02) according to manufacturer's protocol.
 
Library strategy RNA-Seq
Library source transcriptomic
Library selection cDNA
Instrument model DNBSEQ-T7
 
Data processing FastQC (version: 0.11.5) was used to assess the quality of raw reads, and FASTP (version: 0.23.2) was used to filter out the low-quality bases and adapter sequences.
The clean reads were aligned to the hg19 using BWA-MEM (version: 0.7.17) with default parameters and sorted by Samtools (version: 1.15.1).
Gene expression levels were assessed using featureCounts51 (version: 2.0.0). Differential gene expression analysis was performed using the DEseq252 (version: 1.20.0) package.
The analysis outlined above was conducted with a complete pepline in https://github.com/GangCaoLab/NGS-pipelines/tree/master/RNA-Seq.
Assembly: hg19
Supplementary files format and content: tab-delimited text files include differential gene expression analysis result
 
Submission date Jun 01, 2022
Last update date Sep 14, 2023
Contact name zou yanyan
E-mail(s) yyzou0721@outlook.com
Organization name HZAU
Street address SHIZISHAN
City WuHan
ZIP/Postal code 430070
Country China
 
Platform ID GPL29480
Series (2)
GSE205281 MGA-seq is an efficient tool for genetic variants and extrachromosomal DNA detection in cancer cell [RNA-Seq]
GSE205293 MGA-seq is an efficient tool for genetic variants and extrachromosomal DNA detection in cancer cell
Relations
BioSample SAMN28813345
SRA SRX15557397

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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