Machines learn phenotypes
Machines learn phenotypes
复制标题
机器学习表型
DOI:
10.1038/nmeth.2299
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发表时间:
2012
期刊:
影响因子:
48
通讯作者:
Natalie de Souza
中科院分区:
文献类型:
--
作者:
Natalie de Souza
complexes with unprecedented sensitivity, may help bring the technology to a much broader swath of researchers. It will be particularly interesting to watch whether the technology can be merged with advanced ‘top down’ proteomics approaches (J.C. Tran et al., Nature 480, 254–258, 2011)—which seek to profile intact proteins and their post-translational modifications in high throughput—to allow detailed characterization of intact protein complexes on a proteome scale (P.D. Compton and N.L. Kelleher, Nat. Methods 9, 1065–1066, 2012). Allison Doerr how they function, but when the proteins are chopped up into peptides, these patterns become difficult to interpret. Further, proteins rarely act in isolation; rather, they carry out biological processes by interacting with other proteins and other molecules in the cell. Such information is also lost in a typical shotgun approach. But by using unique mass spectrometry methods to detect and characterize intact proteins and protein complexes, valuable information providing clues as to a protein’s function is retained. Proteins are gently ionized into the gas phase, which preserves their native three-dimensional structures; under the right conditions, even large, noncovalently bound, soluble and membrane-protein complexes can be observed intact by mass spectrometry. To date, however, mass spectrometry analysis of intact protein complexes has required highly specialized instrumentation and has therefore been limited to a handful of expert labs. But new developments in 2012 (R.J. Rose et al., Nat. Methods 9, 1084–1086, 2012), extending the use of the popular and powerful Orbitrap mass analyzer to detect large intact protein ❯❯Mass spectrometry of intact protein complexes