Multidimensional proteomics for cell biology

被引:0
作者
Mark Larance
Angus I. Lamond
机构
[1] Laboratory for Quantitative Proteomics,
[2] Centre for Gene Regulation and Expression,undefined
[3] College of Life Sciences,undefined
[4] University of Dundee,undefined
来源
Nature Reviews Molecular Cell Biology | 2015年 / 16卷
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摘要
The proteome is complex as a result of the interconnected, dynamic properties of proteins, which include abundance, isoform expression, subcellular localization, interactions, turnover rate and post-translational modifications, among others.Only through analysing the variation in many of these properties can a full understanding of crucial biological regulatory mechanisms be achieved. Such analyses have so far been restricted by technical limitations and cost.Data analysis and data sharing are crucial to maximise the effect of mass spectrometry-based proteomic analyses, as is making such data available to cell biologists in free to access, web-based and graphically rich formats.Our understanding of cellular processes will be enhanced by predicting the interdependence of protein properties. For example, knowing that a protein with a certain modification, if localized in the cytosol, will be degraded. Future innovations will enable more comprehensive measurement of a wider range of protein properties.
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页码:269 / 280
页数:11
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  • [71] Bensimon A(2014)Global landscape of HIV-human protein complexes Nature Protoc. 9 120-519
  • [72] Heck AJ(2013)A promiscuous biotin ligase fusion protein identifies proximal and interacting proteins in mammalian cells J. Proteom. 88 120-2943
  • [73] Aebersold R(2012)New insights into the DT40 B cell receptor cluster using a proteomic proximity labeling assay Proteomics 12 401-222
  • [74] Richards AL(2013)A census of human soluble protein complexes J. Proteome Res. 12 1569-10767
  • [75] Merrill AE(2014)A high-throughput approach for measuring temporal changes in the interactome Nature Methods 11 1064-1594
  • [76] Coon JJ(2013)Lysine-specific chemical cross-linking of protein complexes and identification of cross-linking sites using LC-MS/MS and the xQuest/xProphet software pipeline Cell 155 1233-798
  • [77] Walther TC(2014)Quantitative cross-linking/mass spectrometry using isotope-labelled cross-linkers Nature 505 515-1887
  • [78] Mann M(2014)An enhanced protein crosslink identification strategy using CID-cleavable chemical crosslinkers and LC/MS(n) analysis Mol. Cell. Proteomics 13 2927-196
  • [79] Guo S(2014) protein interaction network identified with a novel real-time cross-linked peptide identification strategy Nature. 512 218-840
  • [80] Rena G(2008)Photo-cross-linking and high-resolution mass spectrometry for assignment of RNA-binding sites in RNA-binding proteins Proc. Natl Acad. Sci. USA 105 10762-618