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Dataset Information

Quantitative analysis of castration resistant prostate cancer progression through phosphoproteome signaling.


ABSTRACT:

Background

Although recent progress has been made in treating castration resistant prostate cancer, the interplay of signaling pathways which enable castration resistant growth is incompletely understood. A data driven, multivariate approach, was used in this study to predict prostate cancer cell survival based on the phosphorylation levels of key proteins in PC3, LNCaP, and MDA-PCa-2b cell lines in response to EGF, IGF1, IL6, TNFα, dihydrotestosterone, and docetaxel treatment.

Methods

The prostate cancer cell lines were treated with ligands or inhibitors, cell lyates were collected, and the amount of phosphoprotein quantified using 384 well ELISA assays. In separate experiments, relative cell viability was determined using an MTT assay. Normalized data was imported into Mat

SUBMITTER: Lescarbeau RM 

PROVIDER: S-EPMC4031492 | biostudies-literature | 2014 May

REPOSITORIES: biostudies-literature