Multidimentional proteomics for cell biology

Mark Larance; Angus I. Lamond

doi:10.1038/nrm3970

Multidimentional proteomics for cell biology

Mark Larance (Lead / Corresponding author), Angus I. Lamond (Lead / Corresponding author)

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342 Citations (Scopus)

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Abstract

The proteome is a dynamic system in which each protein has interconnected properties — dimensions — that together contribute to the phenotype of a cell. Measuring these properties has proved challenging owing to their diversity and dynamic nature. Advances in mass spectrometry-based proteomics now enable the measurement of multiple properties for thousands of proteins, including their abundance, isoform expression, turnover rate, subcellular localization, post-translational modifications and interactions. Complementing these experimental developments are new data analysis, integration and visualization tools as well as data-sharing resources. Together, these advances in the multidimensional analysis of the proteome are transforming our understanding of various cellular and physiological processes.

Original language	English
Pages (from-to)	269-280
Number of pages	12
Journal	Nature Reviews Molecular Cell Biology
Volume	16
Issue number	5
Early online date	10 Apr 2015
DOIs	https://doi.org/10.1038/nrm3970
Publication status	Published - May 2015

Keywords

Data integration
Data processing
Mass spectrometry
Proteomic analysis

Access to Document

10.1038/nrm3970

Author Accepted ManuscriptAccepted author manuscript, 407 KB

Strategic Award: Wellcome Trust Technology Platform
Blow, J. (Investigator), Lamond, A. (Investigator) & Owen-Hughes, T. (Investigator)
1/01/13 → 30/09/18
Project: Research

Cite this

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KW - Data processing

KW - Mass spectrometry

KW - Proteomic analysis

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Multidimentional proteomics for cell biology

Abstract

Keywords

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Projects

Strategic Award: Wellcome Trust Technology Platform

Cite this