Genome-wide RNAi screen for genes regulating glycolytic response to vemurafenib in BRAF(V600) melanoma cells
AuthorSmith, LK; Parmenter, T; Gould, CM; Madhamshettiwar, PB; Sheppard, KE; Simpson, KJ; McArthur, GA
Source TitleScientific Data
University of Melbourne Author/sMcArthur, Grant
AffiliationMelbourne Medical School
Document TypeJournal Article
CitationsSmith, L. K., Parmenter, T., Gould, C. M., Madhamshettiwar, P. B., Sheppard, K. E., Simpson, K. J. & McArthur, G. A. (2020). Genome-wide RNAi screen for genes regulating glycolytic response to vemurafenib in BRAF(V600) melanoma cells. SCIENTIFIC DATA, 7 (1), https://doi.org/10.1038/s41597-020-00683-z.
Access StatusOpen Access
Open Access at PMChttp://www.ncbi.nlm.nih.gov/pmc/articles/PMC7550327
Identification of mechanisms underlying sensitivity and response to targeted therapies, such as the BRAF inhibitor vemurafenib, is critical in order to improve efficacy of these therapies in the clinic and delay onset of resistance. Glycolysis has emerged as a key feature of the BRAF inhibitor response in melanoma cells, and importantly, the metabolic response to vemurafenib in melanoma patients can predict patient outcome. Here, we present a multiparameter genome-wide siRNA screening dataset of genes that when depleted improve the viability and glycolytic response to vemurafenib in BRAFV600 mutated melanoma cells. These datasets are suitable for analysis of genes involved in cell viability and glycolysis in steady state conditions and following treatment with vemurafenib, as well as computational approaches to identify gene regulatory networks that mediate response to BRAF inhibition in melanoma.
- Click on "Export Reference in RIS Format" and choose "open with... Endnote".
- Click on "Export Reference in RIS Format". Login to Refworks, go to References => Import References