CTPC, a combined transcriptome dataset of prostate cancer cell lines

Abstract

Cell lines are the most used model system in cancer research. The transcriptomic data of established prostate cancer (PCa) cell lines help researchers to explore the differential gene expression across the different PCa cell lines and develop hypothesis. Through large scale datamining, we established a curated Combined Transcriptome dataset of PCa Cell lines (CTPC) which contains the transcriptomic data of 1840 samples of seven commonly used PCa cell lines including LNCaP, C4-2, VCaP, 22Rv1, PC3, DU145, and NCI-H660. The CTPC dataset provides an opportunity for researchers to not only compare gene expression across different PCa cell lines but also retrieve the experiment information and associate the differential gene expression with meta data such as gene manipulation and drug treatment information. Additionally, based on the CTPC dataset, we built a platform for users to visualize the data (https://pcatools.shinyapps.io/CTPC_V2/). It is our hope that the combined CTPC dataset and the user-friendly platform are of great service to the PCa research community.