Literature DB >> 33421001

Biotin Proximity Labeling for Protein-Protein Interaction Discovery: The BioID Method.

Jeff E Habel1.   

Abstract

Biotinylation identification (BioID) is a method designed to provide new cellular location and functional knowledge of the protein of interest through the identification of those proteins surrounding and in direct contact. A biotin ligase is fused onto the protein of interest and expressed in cells where it can biotinylate even short-lived transient protein complexes. In addition, due to the proximity labeling nature of the experiment, cellular localization and functional enrichment information can also be obtained. Since labeling occurs only after the addition of biotin, temporal relationships and localization changes (e.g., cytoplasmic to nuclear) can also be identified. Labeled proteins are easily purified, and contaminants minimized, using the strong interaction between biotin and streptavidin. Mass spectrometry analysis of the purified proteins allows for the identification of potential interactors for further validation and characterization.

Entities:  

Keywords:  BioID; Biotinylation; Protein–protein interaction; Proximity labeling

Mesh:

Substances:

Year:  2021        PMID: 33421001     DOI: 10.1007/978-1-0716-1186-9_22

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  20 in total

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Authors:  B Snel; G Lehmann; P Bork; M A Huynen
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2.  An overview of label-free quantitation methods in proteomics by mass spectrometry.

Authors:  Jason W H Wong; Gerard Cagney
Journal:  Methods Mol Biol       Date:  2010

3.  Probing nuclear pore complex architecture with proximity-dependent biotinylation.

Authors:  Dae In Kim; K C Birendra; Wenhong Zhu; Khatereh Motamedchaboki; Valérie Doye; Kyle J Roux
Journal:  Proc Natl Acad Sci U S A       Date:  2014-06-03       Impact factor: 11.205

4.  A promiscuous biotin ligase fusion protein identifies proximal and interacting proteins in mammalian cells.

Authors:  Kyle J Roux; Dae In Kim; Manfred Raida; Brian Burke
Journal:  J Cell Biol       Date:  2012-03-12       Impact factor: 10.539

5.  BioGRID: a general repository for interaction datasets.

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Journal:  Nucleic Acids Res       Date:  2006-01-01       Impact factor: 16.971

6.  An improved smaller biotin ligase for BioID proximity labeling.

Authors:  Dae In Kim; Samuel C Jensen; Kyle A Noble; Birendra Kc; Kenneth H Roux; Khatereh Motamedchaboki; Kyle J Roux
Journal:  Mol Biol Cell       Date:  2016-02-24       Impact factor: 4.138

7.  A comprehensive evaluation of popular proteomics software workflows for label-free proteome quantification and imputation.

Authors:  Tommi Välikangas; Tomi Suomi; Laura L Elo
Journal:  Brief Bioinform       Date:  2018-11-27       Impact factor: 11.622

8.  Efficient proximity labeling in living cells and organisms with TurboID.

Authors:  Tess C Branon; Justin A Bosch; Ariana D Sanchez; Namrata D Udeshi; Tanya Svinkina; Steven A Carr; Jessica L Feldman; Norbert Perrimon; Alice Y Ting
Journal:  Nat Biotechnol       Date:  2018-08-20       Impact factor: 54.908

9.  STRING v11: protein-protein association networks with increased coverage, supporting functional discovery in genome-wide experimental datasets.

Authors:  Damian Szklarczyk; Annika L Gable; David Lyon; Alexander Junge; Stefan Wyder; Jaime Huerta-Cepas; Milan Simonovic; Nadezhda T Doncheva; John H Morris; Peer Bork; Lars J Jensen; Christian von Mering
Journal:  Nucleic Acids Res       Date:  2019-01-08       Impact factor: 16.971

10.  The CRAPome: a contaminant repository for affinity purification-mass spectrometry data.

Authors:  Dattatreya Mellacheruvu; Zachary Wright; Amber L Couzens; Jean-Philippe Lambert; Nicole A St-Denis; Tuo Li; Yana V Miteva; Simon Hauri; Mihaela E Sardiu; Teck Yew Low; Vincentius A Halim; Richard D Bagshaw; Nina C Hubner; Abdallah Al-Hakim; Annie Bouchard; Denis Faubert; Damian Fermin; Wade H Dunham; Marilyn Goudreault; Zhen-Yuan Lin; Beatriz Gonzalez Badillo; Tony Pawson; Daniel Durocher; Benoit Coulombe; Ruedi Aebersold; Giulio Superti-Furga; Jacques Colinge; Albert J R Heck; Hyungwon Choi; Matthias Gstaiger; Shabaz Mohammed; Ileana M Cristea; Keiryn L Bennett; Mike P Washburn; Brian Raught; Rob M Ewing; Anne-Claude Gingras; Alexey I Nesvizhskii
Journal:  Nat Methods       Date:  2013-07-07       Impact factor: 28.547

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  1 in total

1.  Optical Fluorescence Imaging of Native Proteins Using a Fluorescent Probe with a Cell-Membrane-Permeable Carboxyl Group.

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Journal:  Int J Mol Sci       Date:  2022-05-23       Impact factor: 6.208

  1 in total

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