Proteomics

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ATLANTIC: Activity landscapes of tumor cell lines determine drug responses


ABSTRACT: Analysis of cancer cell line (CCL) genomes, proteomes and phenotypic drug responses are emerging approaches to uncover molecular mechanisms of drug action. We extended this paradigm to measuring proteome activity landscapes by integrating quantitative data for 10,000 proteins and 55,000 phosphorylation sites from 125 CCLs with large drug sensitivity data collections. To engage the scientific community in mining the thousands of novel functional associations generated by this work, we provide an interactive web resource termed ATLANTIC (http://atlantic.proteomics.wzw.tum.de). For instance, we found that Progesterone Receptor (PGR) phosphorylation is a stronger drug response predictor than PGR expression alone in hormone receptor positive breast cancer patients. We also demonstrate that Adenylate kinase isoenzyme 1 (AK1) inactivates chemotherapeutic drugs such as Cytarabine. Consequently, high AK1 levels correlated with poor survival of Cytarabine-treated acute myelogenous leukemia patients qualifying AK1 as a treatment stratification and drug response marker and possibly as a drug target.

INSTRUMENT(S): LTQ Orbitrap Velos, Q Exactive

ORGANISM(S): Homo Sapiens (human)

TISSUE(S): Permanent Cell Line Cell, Cell Culture

DISEASE(S): Lung Cancer,Leukemia,Colon Cancer,Melanoma,Prostate Cancer,Brain Cancer,Kidney Cancer,Malignant Neoplasm Of Ovary,Breast Cancer

SUBMITTER: Martin Frejno  

LAB HEAD: Bernhard Kuster

PROVIDER: PXD013615 | Pride | 2020-07-27

REPOSITORIES: Pride

Dataset's files

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Action DRS
00107_A01_P012579_S00_N01_R2.raw Raw
00107_A02_P012579_S00_N09_R2.raw Raw
00107_A03_P012579_S00_N17_R2.raw Raw
00107_A04_P012580_S00_N01_R2.raw Raw
00107_A05_P012580_S00_N09_R2.raw Raw
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Publications


Integrated analysis of genomes, transcriptomes, proteomes and drug responses of cancer cell lines (CCLs) is an emerging approach to uncover molecular mechanisms of drug action. We extend this paradigm to measuring proteome activity landscapes by acquiring and integrating quantitative data for 10,000 proteins and 55,000 phosphorylation sites (p-sites) from 125 CCLs. These data are used to contextualize proteins and p-sites and predict drug sensitivity. For example, we find that Progesterone Recep  ...[more]

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