Proteomics

Dataset Information

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ProTargetMiner: A proteome library of anticancer molecules for functional discovery


ABSTRACT: ProTargetMiner is the first publicly available expandable proteome signature library of anticancer molecules in cancer cell lines. The compounds cluster into groups by their proteomic signatures based on their targets and mechanisms. These can be deconvoluted by orthogonal partial least square (OPLS) modeling. Using 9 molecules representing most diverse action mechanisms, deep proteome datasets were built for 3 major cancer cell lines MCF-7, RKO and A549. Combining the data from the three cell lines identified common targets and mechanisms, while also highlighting important cell-specific differences. The database can be easily extended and merged with new compound signatures. We expect ProTargetMiner to serve as a valuable chemical proteomics resource catering primarily to the cancer research community, and become a popular tool in drug discovery. This submission includes the deep proteomics datasets in MCF-7 and RKO cell lines.

INSTRUMENT(S): Q Exactive HF

ORGANISM(S): Homo Sapiens (human)

TISSUE(S): Breast Epithelium, Colon Epithelial Cell

DISEASE(S): Colon Cancer,Breast Cancer

SUBMITTER: Amir Ata Saei  

LAB HEAD: Roman Zubarev

PROVIDER: PXD013134 | Pride | 2019-11-01

REPOSITORIES: Pride

Dataset's files

Source:
Action DRS
MCF7_Rep1_Frac1.raw Raw
MCF7_Rep1_Frac10.raw Raw
MCF7_Rep1_Frac11.raw Raw
MCF7_Rep1_Frac12.raw Raw
MCF7_Rep1_Frac13.raw Raw
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Publications

ProTargetMiner as a proteome signature library of anticancer molecules for functional discovery.

Saei Amir Ata AA   Beusch Christian Michel CM   Chernobrovkin Alexey A   Sabatier Pierre P   Zhang Bo B   Tokat Ülkü Güler ÜG   Stergiou Eleni E   Gaetani Massimiliano M   Végvári Ákos Á   Zubarev Roman A RA  

Nature communications 20191216 1


Deconvolution of targets and action mechanisms of anticancer compounds is fundamental in drug development. Here, we report on ProTargetMiner as a publicly available expandable proteome signature library of anticancer molecules in cancer cell lines. Based on 287 A549 adenocarcinoma proteomes affected by 56 compounds, the main dataset contains 7,328 proteins and 1,307,859 refined protein-drug pairs. These proteomic signatures cluster by compound targets and action mechanisms. The targets and mecha  ...[more]

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