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Article: Photo-ANA enables profiling of host–bacteria protein interactions during infection

TitlePhoto-ANA enables profiling of host–bacteria protein interactions during infection
Authors
Issue Date26-Jan-2023
PublisherNature Research
Citation
Nature Chemical Biology, 2023, v. 19, n. 5, p. 614-623 How to Cite?
Abstract

Bacterial pathogens rapidly change and adapt their proteome to cope with the environment in host cells and secrete effector proteins to hijack host targets and ensure their survival and proliferation during infection. Excessive host proteins make it difficult to profile pathogens' proteome dynamics by conventional proteomics. It is even more challenging to map pathogen-host protein-protein interactions in real time, given the low abundance of bacterial effectors and weak and transient interactions in which they may be involved. Here we report a method for selectively labeling bacterial proteomes using a bifunctional amino acid, photo-ANA, equipped with a bio-orthogonal handle and a photoreactive warhead, which enables simultaneous analysis of bacterial proteome reprogramming and pathogen-host protein interactions of Salmonella enterica serovar Typhimurium (S. Typhimurium) during infection. Using photo-ANA, we identified FLOT1/2 as host interactors of S. Typhimurium effector PipB2 in late-stage infection and globally profiled the extensive interactions between host proteins and pathogens during infection.


Persistent Identifierhttp://hdl.handle.net/10722/331703
ISSN
2023 Impact Factor: 12.9
2023 SCImago Journal Rankings: 5.558
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorLi, Xiao-Meng-
dc.contributor.authorHuang, Siyue-
dc.contributor.authorLi, Xiang David-
dc.date.accessioned2023-09-21T06:58:09Z-
dc.date.available2023-09-21T06:58:09Z-
dc.date.issued2023-01-26-
dc.identifier.citationNature Chemical Biology, 2023, v. 19, n. 5, p. 614-623-
dc.identifier.issn1552-4450-
dc.identifier.urihttp://hdl.handle.net/10722/331703-
dc.description.abstract<p>Bacterial pathogens rapidly change and adapt their proteome to cope with the environment in host cells and secrete effector proteins to hijack host targets and ensure their survival and proliferation during infection. Excessive host proteins make it difficult to profile pathogens' proteome dynamics by conventional proteomics. It is even more challenging to map pathogen-host protein-protein interactions in real time, given the low abundance of bacterial effectors and weak and transient interactions in which they may be involved. Here we report a method for selectively labeling bacterial proteomes using a bifunctional amino acid, photo-ANA, equipped with a bio-orthogonal handle and a photoreactive warhead, which enables simultaneous analysis of bacterial proteome reprogramming and pathogen-host protein interactions of Salmonella enterica serovar Typhimurium (S. Typhimurium) during infection. Using photo-ANA, we identified FLOT1/2 as host interactors of S. Typhimurium effector PipB2 in late-stage infection and globally profiled the extensive interactions between host proteins and pathogens during infection.</p>-
dc.languageeng-
dc.publisherNature Research-
dc.relation.ispartofNature Chemical Biology-
dc.titlePhoto-ANA enables profiling of host–bacteria protein interactions during infection-
dc.typeArticle-
dc.identifier.doi10.1038/s41589-022-01245-7-
dc.identifier.scopuseid_2-s2.0-85146841690-
dc.identifier.volume19-
dc.identifier.issue5-
dc.identifier.spage614-
dc.identifier.epage623-
dc.identifier.eissn1552-4469-
dc.identifier.isiWOS:000922974200001-
dc.identifier.issnl1552-4450-

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