Detection of dysregulated protein-association networks by high-throughput proteomics predicts cancer vulnerabilities-Reference-Cited by-同舟云学术

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Detection of dysregulated protein-association networks by high-throughput proteomics predicts cancer vulnerabilities

Published:2017-09-11 Issue:10 Volume:35 Page:983-989
ISSN:1087-0156
Container-title:Nature Biotechnology
language:en
Short-container-title:Nat Biotechnol

Author:

Lapek John D,Greninger Patricia,Morris Robert,Amzallag Arnaud,Pruteanu-Malinici Iulian,Benes Cyril H,Haas Wilhelm

Publisher

Springer Science and Business Media LLC

Subject

Biomedical Engineering,Molecular Medicine,Applied Microbiology and Biotechnology,Bioengineering,Biotechnology

Link

http://www.nature.com/articles/nbt.3955.pdf

Reference50 articles.

1. Aebersold, R. & Mann, M. Mass-spectrometric exploration of proteome structure and function. Nature 537, 347–355 (2016).

2. Rolland, T. et al. A proteome-scale map of the human interactome network. Cell 159, 1212–1226 (2014).

3. Huttlin, E.L. et al. The BioPlex network: a systematic exploration of the human interactome. Cell 162, 425–440 (2015).

4. Hein, M.Y. et al. A human interactome in three quantitative dimensions organized by stoichiometries and abundances. Cell 163, 712–723 (2015).

5. McAlister, G.C. et al. Increasing the multiplexing capacity of TMTs using reporter ion isotopologues with isobaric masses. Anal. Chem. 84, 7469–7478 (2012).

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