蛋白质组
生物
大肠杆菌
计算生物学
基因
表型
遗传学
作者
André Mateus,Johannes F. Hevler,Jacob Bobonis,Nils Kurzawa,Malay B. Shah,Karin Mitosch,Camille Goemans,Dominic Helm,Frank Stein,Athanasios Typas,Mikhail M. Savitski
出处
期刊:Nature
[Nature Portfolio]
日期:2020-12-09
卷期号:588 (7838): 473-478
被引量:117
标识
DOI:10.1038/s41586-020-3002-5
摘要
Recent developments in high-throughput reverse genetics1,2 have revolutionized our ability to map gene function and interactions3–6. The power of these approaches depends on their ability to identify functionally associated genes, which elicit similar phenotypic changes across several perturbations (chemical, environmental or genetic) when knocked out7–9. However, owing to the large number of perturbations, these approaches have been limited to growth or morphological readouts10. Here we use a high-content biochemical readout, thermal proteome profiling11, to measure the proteome-wide protein abundance and thermal stability in response to 121 genetic perturbations in Escherichia coli. We show that thermal stability, and therefore the state and interactions of essential proteins, is commonly modulated, raising the possibility of studying a protein group that is particularly inaccessible to genetics. We find that functionally associated proteins have coordinated changes in abundance and thermal stability across perturbations, owing to their co-regulation and physical interactions (with proteins, metabolites or cofactors). Finally, we provide mechanistic insights into previously determined growth phenotypes12 that go beyond the deleted gene. These data represent a rich resource for inferring protein functions and interactions. Thermal proteome profiling combined with a reverse genetics approach provides insights into the abundance and thermal stability of the global proteome of Escherichia coli.
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