NCBI Logo
GEO Logo
   NCBI > GEO > Accession DisplayHelp Not logged in | LoginHelp
GEO help: Mouse over screen elements for information.
          Go
Series GSE172303 Query DataSets for GSE172303
Status Public on Apr 19, 2023
Title Identification and characterization of new pancreatic cancer stem cells marker
Organism Homo sapiens
Experiment type Expression profiling by high throughput sequencing
Summary To identify gene transcripts that were responsible for the stemness formation in pancreatic cancer cells, spheroid PANC1 and BXPC3 cells from primary sphere formation were enriched and then used for RNA-seq analysis. A gemcitabine-resistant SW1990 cell line was also established and used for RNA-seq analysis. In order to ensure the data quality, raw reads were preprocessed by removing low quality sequences, dejunction contamination(Trimmomatic), A/T/G/C Content Distribution(RSeQC), rRNA removal(bowtie2), etc to obtain high quality sequences (clean reads) and all subsequent analyses were based on clean reads. Clean Data was aligned to the reference genome by HISAT, and gene expression quantification was done via software FeatureCounts. DESseq2 package in the R software was introduced to analysis differentially expressed genes between comparisons using read counts estimated by FeatureCounts. Genes with adjusted pvalue< 0.05 and |log2(Fold Change) | > 1 were defined as differentially expressed genes. Totally, we identified 108 DEGs whose expression changes were almost similar in all the data sets.
 
Overall design Identification of DEGs between wilt type (WT) and spheroid-forming (Sphere) pancreatic cancer cells (BXBP3, PANC1), and between wilt type (WT) and gemcitabine-resistant (GR) SW1990 cell line.
 
Contributor(s) Wang Y
Citation missing Has this study been published? Please login to update or notify GEO.
Submission date Apr 19, 2021
Last update date Apr 19, 2023
Contact name Yanhong Wang
Organization name Institute of Basic Medical Sciences Chinese Academy of Medical Sciences,School of Basic Medicine Peking Union Medical College
Street address Dong dan san tiao No.5
City beijing
ZIP/Postal code 100005
Country China
 
Platforms (1)
GPL24676 Illumina NovaSeq 6000 (Homo sapiens)
Samples (18)
GSM5252139 SW1990-GR-1
GSM5252140 SW1990-GR-2
GSM5252141 SW1990-GR-3
Relations
BioProject PRJNA722871
SRA SRP315309

Download family Format
SOFT formatted family file(s) SOFTHelp
MINiML formatted family file(s) MINiMLHelp
Series Matrix File(s) TXTHelp

Supplementary file Size Download File type/resource
GSE172303_FPKM.txt.gz 4.1 Mb (ftp)(http) TXT
SRA Run SelectorHelp
Raw data are available in SRA
Processed data are available on Series record

| NLM | NIH | GEO Help | Disclaimer | Accessibility |
NCBI Home NCBI Search NCBI SiteMap