Discovery and significance of protein-protein interactions in health and disease

被引:23
作者
Greenblatt, Jack F. [1 ,2 ]
Alberts, Bruce M. [3 ]
Krogan, Nevan J. [4 ,5 ,6 ]
机构
[1] Univ Toronto, Dept Mol Genet, Toronto, ON M5S 1A8, Canada
[2] Univ Toronto, Donnelly Ctr, Toronto, ON M5S 3E1, Canada
[3] Univ Calif San Francisco UCSF, Dept Biochem & Biophys, San Francisco, CA USA
[4] Univ Calif San Francisco UCSF, Quantitat Biosci Inst, San Francisco, CA 94143 USA
[5] J David Gladstone Inst, Gladstone Inst Data Sci & Biotechnol, San Francisco, CA 94158 USA
[6] Univ Calif San Francisco UCSF, Dept Bioengn & Therapeut Sci, San Francisco, CA 94143 USA
基金
美国国家卫生研究院; 加拿大健康研究院;
关键词
ANTI-TERMINATION PROTEIN; NUSA GENE PROTEIN; ESCHERICHIA-COLI; MASS-SPECTROMETRY; RNA-POLYMERASE; INTERACTION NETWORK; CROSS-LINKING; AFFINITY PURIFICATION; TRANSCRIPTION ANTITERMINATION; SACCHAROMYCES-CEREVISIAE;
D O I
10.1016/j.cell.2024.10.038
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
The identification of individual protein-protein interactions (PPIs) began more than 40 years ago, using protein affinity chromatography and antibody co-immunoprecipitation. As new technologies emerged, analysis of PPIs increased to a genome-wide scale with the introduction of intracellular tagging methods, affinity purification (AP) followed by mass spectrometry (MS), and co-fractionation MS (CF-MS). Now, combining the resulting catalogs of interactions with complementary methods, including crosslinking MS (XL-MS) and cryogenic electron microscopy (cryo-EM), helps distinguish direct interactions from indirect ones within the same or between different protein complexes. These powerful approaches and the promise of artificial intelligence applications like AlphaFold herald a future where PPIs and protein complexes, including energy-driven protein machines, will be understood in exquisite detail, unlocking new insights in the contexts of both basic biology and disease.
引用
收藏
页码:6501 / 6517
页数:17
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