Literature DB >> 31664723

Uncovering the In Vivo Proxisome Using Proximity-Tagging Methods.

Yoann G Santin1.   

Abstract

The development of new approaches is critical to gain further insights into biological processes that cannot be obtained by existing methods or technologies. The detection of protein-protein interaction is often challenging, especially for weak and transient interactions or for membrane proteins. Over the last decade, several proximity-tagging methodologies have been developed to explore protein interactions in living cells. Among those, the most efficient are based on protein partner modification, such as biotinylation or pupylation. Such technologies are based on engineered variants of enzymes like peroxidases or ligases that release reactive molecules, in the presence of specific substrates, that bind surrounding proteins. Fusing a protein of interest (POI) to these enzymes allows the definition of an unbiased "proxisome," that is, all of the proteins in interaction or in close vicinity of the POI. Here, the different proximity-labeling tools available are described and comprehensive comparison to discuss advantages and limitations is provided.
© 2019 WILEY Periodicals, Inc.

Keywords:  APEX-proximity-dependent biotin labeling; bacteria; biotin identification; in vivo proximity labeling; protein-protein interaction; proxisome; pupylation-based interaction tagging

Mesh:

Substances:

Year:  2019        PMID: 31664723     DOI: 10.1002/bies.201900131

Source DB:  PubMed          Journal:  Bioessays        ISSN: 0265-9247            Impact factor:   4.345


  3 in total

1.  A comprehensive SARS-CoV-2-human protein-protein interactome reveals COVID-19 pathobiology and potential host therapeutic targets.

Authors:  Yadi Zhou; Yuan Liu; Shagun Gupta; Mauricio I Paramo; Yuan Hou; Chengsheng Mao; Yuan Luo; Julius Judd; Shayne Wierbowski; Marta Bertolotti; Mriganka Nerkar; Lara Jehi; Nir Drayman; Vlad Nicolaescu; Haley Gula; Savaş Tay; Glenn Randall; Peihui Wang; John T Lis; Cédric Feschotte; Serpil C Erzurum; Feixiong Cheng; Haiyuan Yu
Journal:  Nat Biotechnol       Date:  2022-10-10       Impact factor: 68.164

2.  A comprehensive SARS-CoV-2-human protein-protein interactome network identifies pathobiology and host-targeting therapies for COVID-19.

Authors:  Yadi Zhou; Yuan Liu; Shagun Gupta; Mauricio I Paramo; Yuan Hou; Chengsheng Mao; Yuan Luo; Julius Judd; Shayne Wierbowski; Marta Bertolotti; Mriganka Nerkar; Lara Jehi; Nir Drayman; Vlad Nicolaescu; Haley Gula; Savaş Tay; Glenn Randall; John T Lis; Cédric Feschotte; Serpil C Erzurum; Feixiong Cheng; Haiyuan Yu
Journal:  Res Sq       Date:  2022-06-07

Review 3.  Proximity Labeling Techniques to Study Chromatin.

Authors:  Henning Ummethum; Stephan Hamperl
Journal:  Front Genet       Date:  2020-05-12       Impact factor: 4.599

  3 in total

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