Project description:The goal of the CTD2 Pancancer Drug Activity DREAM Challenge is to foster the development and benchmarking of algorithms to predict targets of chemotherapeutic compounds from post-treatment transcriptional data. The drug perturbational profiles on 11 cell lines for 32 kinase inhibitors with well-established targets were provided to challenge participants, without revealing the identity of the drugs. These profiles were used to predict the drug-targets of the 32 anonymized drugs using publically available datasets for training.
Project description:DARPP-32 expression was reduced in oestrogen receptor positive luminal B breast cancer cells (T47D) using siRNA and control and DARPP-32 knockdown cells were subject to stimulation with estradiol17β (E2) or inhibition of protein kinase A (PKA) with PKA inhibitor fragment (6-22) amide prior to RNA sequencing. A bioinformatics pipeline of Trim Galore, Kallisto, DESeq2 and Qiagen Ingenuity Pathway Analysis was used for pathway analysis.
Project description:U-2 OS (human osteosarcoma cell line) were treated with ZM447439 (an aurora kinase inhibitor), SB202190 (a p38 inhibitor) or ZM447439+SB202190 and resulting changes in gene expression were profiled.