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BioID: A proximity-dependent labeling approach in proteomics study
Peipei Li; Yuan Meng; Li Wang; Li-jun Di
2019
Source PublicationMethods in Molecular Biology
Publication PlaceUSA
PublisherHUMANA PRESS INC
Pages143-151
Abstract

Biological activities are mainly executed by proteins and in most of the occasions these activities are accomplished by protein complexes or through protein–protein interactions (PPI). So it is critical to reveal how the protein complexes are organized and demonstrate the PPIs involved in the biological processes. In addition to the traditional biochemical approaches, proximity-dependent labeling (PDL) has recently been proposed to identify the interacting partners of a given protein. PDL requires the fusion expression of the target protein with an enzyme which catalyzes the attachment of a reactive molecule to the interacting partners in a distance-dependent manner. Further analysis of all the proteins that are modified by the reactive molecule discloses the identity of these proteins which are presumed to be interacting partners of the target protein. BioID is one of those representative PDL methods with the most widely applications. The enzyme used in BioID is a biotin ligase BirA which catalyzes the biotinylation of target protein with the presence of biotin. Through streptavidin-mediated pull-down and mass spectrometry analysis, the interacting protein candidates of a given protein can be obtained.

KeywordBioid Protein–protein Interactions Proximity-dependent Labeling
DOI10.1007/978-1-4939-8814-3_10
URLView the original
Language英語English
ISBN1064-3745
Volume1871
Indexed ByBKCI-S
WOS IDWOS:000683224500010
WOS KeywordMetabolic Biotinylation ; Protein-interaction ; Diversity ; Cells
WOS SubjectBiochemical Research Methods ; Biochemistry & Molecular Biology
WOS Research AreaBiochemistry & Molecular Biology
Scopus ID2-s2.0-85054089490
Fulltext Access
Citation statistics
Document TypeBook chapter
CollectionCancer Centre
Faculty of Health Sciences
Corresponding AuthorLi-jun Di
AffiliationFaculty of Health Sciences, Cancer Center, University of Macau, Macao
First Author AffilicationCancer Centre
Recommended Citation
GB/T 7714
Peipei Li,Yuan Meng,Li Wang,et al. BioID: A proximity-dependent labeling approach in proteomics study[M]. Methods in Molecular Biology, USA:HUMANA PRESS INC, 2019, 143-151.
APA Peipei Li., Yuan Meng., Li Wang., & Li-jun Di (2019). BioID: A proximity-dependent labeling approach in proteomics study. Methods in Molecular Biology, 1871, 143-151.
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