Residential College | false |
Status | 已發表Published |
BioID: A proximity-dependent labeling approach in proteomics study | |
Peipei Li; Yuan Meng; Li Wang; Li-jun Di | |
2019 | |
Source Publication | Methods in Molecular Biology |
Publication Place | USA |
Publisher | HUMANA PRESS INC |
Pages | 143-151 |
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. |
Keyword | Bioid Protein–protein Interactions Proximity-dependent Labeling |
DOI | 10.1007/978-1-4939-8814-3_10 |
URL | View the original |
Language | 英語English |
ISBN | 1064-3745 |
Volume | 1871 |
Indexed By | BKCI-S |
WOS ID | WOS:000683224500010 |
WOS Keyword | Metabolic Biotinylation ; Protein-interaction ; Diversity ; Cells |
WOS Subject | Biochemical Research Methods ; Biochemistry & Molecular Biology |
WOS Research Area | Biochemistry & Molecular Biology |
Scopus ID | 2-s2.0-85054089490 |
Fulltext Access | |
Citation statistics | |
Document Type | Book chapter |
Collection | Cancer Centre Faculty of Health Sciences |
Corresponding Author | Li-jun Di |
Affiliation | Faculty of Health Sciences, Cancer Center, University of Macau, Macao |
First Author Affilication | Cancer 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. |
Files in This Item: | There are no files associated with this item. |
Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.
Edit Comment