Dynamic 3D proteomes reveal protein functional alterations at high resolution in situ

Open access
Date
2021-01-21Type
- Journal Article
Citations
Cited 34 times in
Web of Science
Cited 39 times in
Scopus
ETH Bibliography
yes
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Abstract
Biological processes are regulated by intermolecular interactions and chemical modifications that do not affect protein levels, thus escaping detection in classical proteomic screens. We demonstrate here that a global protein structural readout based on limited proteolysis-mass spectrometry (LiP-MS) detects many such functional alterations, simultaneously and in situ, in bacteria undergoing nutrient adaptation and in yeast responding to acute stress. The structural readout, visualized as structural barcodes, captured enzyme activity changes, phosphorylation, protein aggregation, and complex formation, with the resolution of individual regulated functional sites such as binding and active sites. Comparison with prior knowledge, including other ‘omics data, showed that LiP-MS detects many known functional alterations within well-studied pathways. It suggested distinct metabolite-protein interactions and enabled identification of a fructose-1,6-bisphosphate-based regulatory mechanism of glucose uptake in E. coli. The structural readout dramatically increases classical proteomics coverage, generates mechanistic hypotheses, and paves the way for in situ structural systems biology. Show more
Permanent link
https://doi.org/10.3929/ethz-b-000464010Publication status
publishedExternal links
Journal / series
CellVolume
Pages / Article No.
Publisher
Cell PressSubject
structural proteomics; mass spectrometry; limited proteolysis; structural systems biology; protein aggregation; functional proteomics; metabolism; structural biology; yeast; E. coliOrganisational unit
03927 - Picotti, Paola / Picotti, Paola
08839 - Zamboni, Nicola (Tit.-Prof.)
Funding
866004 - Three-dimensional dynamic views of proteomes as a novel readout for physiolgical and pathological alterations (EC)
823839 - European Proteomics Infrastructure Consortium providing Access (EC)
177195 - Molecular and Cellular Modulation in Parkinson's Disease (SNF)
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Show all metadata
Citations
Cited 34 times in
Web of Science
Cited 39 times in
Scopus
ETH Bibliography
yes
Altmetrics