Literature DB >> 29307493

A Map of Protein-Metabolite Interactions Reveals Principles of Chemical Communication.

Ilaria Piazza1, Karl Kochanowski2, Valentina Cappelletti1, Tobias Fuhrer2, Elad Noor2, Uwe Sauer2, Paola Picotti3.   

Abstract

Metabolite-protein interactions control a variety of cellular processes, thereby playing a major role in maintaining cellular homeostasis. Metabolites comprise the largest fraction of molecules in cells, but our knowledge of the metabolite-protein interactome lags behind our understanding of protein-protein or protein-DNA interactomes. Here, we present a chemoproteomic workflow for the systematic identification of metabolite-protein interactions directly in their native environment. The approach identified a network of known and novel interactions and binding sites in Escherichia coli, and we demonstrated the functional relevance of a number of newly identified interactions. Our data enabled identification of new enzyme-substrate relationships and cases of metabolite-induced remodeling of protein complexes. Our metabolite-protein interactome consists of 1,678 interactions and 7,345 putative binding sites. Our data reveal functional and structural principles of chemical communication, shed light on the prevalence and mechanisms of enzyme promiscuity, and enable extraction of quantitative parameters of metabolite binding on a proteome-wide scale.
Copyright © 2017 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  allostery; binding site; chemoproteomics; limited proteolysis; mass spectrometry; metabolite-protein interactions; metabolite-protein interactome; metabolites; structural proteomics; target deconvolution

Mesh:

Substances:

Year:  2018        PMID: 29307493     DOI: 10.1016/j.cell.2017.12.006

Source DB:  PubMed          Journal:  Cell        ISSN: 0092-8674            Impact factor:   41.582


  84 in total

Review 1.  The EcoCyc Database.

Authors:  Peter D Karp; Wai Kit Ong; Suzanne Paley; Richard Billington; Ron Caspi; Carol Fulcher; Anamika Kothari; Markus Krummenacker; Mario Latendresse; Peter E Midford; Pallavi Subhraveti; Socorro Gama-Castro; Luis Muñiz-Rascado; César Bonavides-Martinez; Alberto Santos-Zavaleta; Amanda Mackie; Julio Collado-Vides; Ingrid M Keseler; Ian Paulsen
Journal:  EcoSal Plus       Date:  2018-11

2.  Chaperone OsmY facilitates the biogenesis of a major family of autotransporters.

Authors:  Zhen Yan; Sunyia Hussain; Xu Wang; Harris D Bernstein; James C A Bardwell
Journal:  Mol Microbiol       Date:  2019-10-09       Impact factor: 3.501

Review 3.  Epigenetic regulation by endogenous metabolite pharmacology.

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Journal:  Curr Opin Chem Biol       Date:  2019-03-15       Impact factor: 8.822

4.  Accelerating Lipidomic Method Development through in Silico Simulation.

Authors:  Paul D Hutchins; Jason D Russell; Joshua J Coon
Journal:  Anal Chem       Date:  2019-07-25       Impact factor: 6.986

Review 5.  Proteomic and interactomic insights into the molecular basis of cell functional diversity.

Authors:  Isabell Bludau; Ruedi Aebersold
Journal:  Nat Rev Mol Cell Biol       Date:  2020-03-31       Impact factor: 94.444

6.  High-throughput metabolomic analysis predicts mode of action of uncharacterized antimicrobial compounds.

Authors:  Mattia Zampieri; Balazs Szappanos; Maria Virginia Buchieri; Andrej Trauner; Ilaria Piazza; Paola Picotti; Sébastien Gagneux; Sonia Borrell; Brigitte Gicquel; Joel Lelievre; Balazs Papp; Uwe Sauer
Journal:  Sci Transl Med       Date:  2018-02-21       Impact factor: 17.956

Review 7.  Metabolic kinetic modeling provides insight into complex biological questions, but hurdles remain.

Authors:  Jonathan Strutz; Jacob Martin; Jennifer Greene; Linda Broadbelt; Keith Tyo
Journal:  Curr Opin Biotechnol       Date:  2019-03-07       Impact factor: 9.740

8.  Deciphering the regulatory genome of Escherichia coli, one hundred promoters at a time.

Authors:  William T Ireland; Suzannah M Beeler; Emanuel Flores-Bautista; Nicholas S McCarty; Tom Röschinger; Nathan M Belliveau; Michael J Sweredoski; Annie Moradian; Justin B Kinney; Rob Phillips
Journal:  Elife       Date:  2020-09-21       Impact factor: 8.140

Review 9.  Interaction profiling methods to map protein and pathway targets of bioactive ligands.

Authors:  Jun X Huang; John S Coukos; Raymond E Moellering
Journal:  Curr Opin Chem Biol       Date:  2020-03-05       Impact factor: 8.822

10.  A Systems Chemoproteomic Analysis of Acyl-CoA/Protein Interaction Networks.

Authors:  Michaella J Levy; David C Montgomery; Mihaela E Sardiu; Jose L Montano; Sarah E Bergholtz; Kellie D Nance; Abigail L Thorpe; Stephen D Fox; Qishan Lin; Thorkell Andresson; Laurence Florens; Michael P Washburn; Jordan L Meier
Journal:  Cell Chem Biol       Date:  2019-12-10       Impact factor: 8.116

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