Literature DB >> 32127388

Proximity Dependent Biotinylation: Key Enzymes and Adaptation to Proteomics Approaches.

Payman Samavarchi-Tehrani1, Reuben Samson2, Anne-Claude Gingras3.   

Abstract

The study of protein subcellular distribution, their assembly into complexes and the set of proteins with which they interact with is essential to our understanding of fundamental biological processes. Complementary to traditional assays, proximity-dependent biotinylation (PDB) approaches coupled with mass spectrometry (such as BioID or APEX) have emerged as powerful techniques to study proximal protein interactions and the subcellular proteome in the context of living cells and organisms. Since their introduction in 2012, PDB approaches have been used in an increasing number of studies and the enzymes themselves have been subjected to intensive optimization. How these enzymes have been optimized and considerations for their use in proteomics experiments are important questions. Here, we review the structural diversity and mechanisms of the two main classes of PDB enzymes: the biotin protein ligases (BioID) and the peroxidases (APEX). We describe the engineering of these enzymes for PDB and review emerging applications, including the development of PDB for coincidence detection (split-PDB). Lastly, we briefly review enzyme selection and experimental design guidelines and reflect on the labeling chemistries and their implication for data interpretation.
© 2020 Samavarchi-Tehrani et al.

Entities:  

Keywords:  APEX; BioID; Protein-protein interactions; biotin ligase; cellular organelles; enzymes; mass spectrometry; molecular biology; peroxidase; protein engineering; proximity-dependent biotinylation

Mesh:

Substances:

Year:  2020        PMID: 32127388      PMCID: PMC7196579          DOI: 10.1074/mcp.R120.001941

Source DB:  PubMed          Journal:  Mol Cell Proteomics        ISSN: 1535-9476            Impact factor:   5.911


  162 in total

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Journal:  Nat Protoc       Date:  2017-05-04       Impact factor: 13.491

Review 4.  Getting to know the neighborhood: using proximity-dependent biotinylation to characterize protein complexes and map organelles.

Authors:  Anne-Claude Gingras; Kento T Abe; Brian Raught
Journal:  Curr Opin Chem Biol       Date:  2018-11-17       Impact factor: 8.822

5.  Global, quantitative and dynamic mapping of protein subcellular localization.

Authors:  Daniel N Itzhak; Stefka Tyanova; Jürgen Cox; Georg Hh Borner
Journal:  Elife       Date:  2016-06-09       Impact factor: 8.140

6.  Monitoring protein-protein interactions in intact eukaryotic cells by beta-galactosidase complementation.

Authors:  F Rossi; C A Charlton; H M Blau
Journal:  Proc Natl Acad Sci U S A       Date:  1997-08-05       Impact factor: 11.205

7.  Proteomic mapping of mitochondria in living cells via spatially restricted enzymatic tagging.

Authors:  Hyun-Woo Rhee; Peng Zou; Namrata D Udeshi; Jeffrey D Martell; Vamsi K Mootha; Steven A Carr; Alice Y Ting
Journal:  Science       Date:  2013-01-31       Impact factor: 47.728

8.  Use of peptide libraries to map the substrate specificity of a peptide-modifying enzyme: a 13 residue consensus peptide specifies biotinylation in Escherichia coli.

Authors:  P J Schatz
Journal:  Biotechnology (N Y)       Date:  1993-10

9.  E-cadherin interactome complexity and robustness resolved by quantitative proteomics.

Authors:  Zhenhuan Guo; Lisa J Neilson; Hang Zhong; Paul S Murray; Sara Zanivan; Ronen Zaidel-Bar
Journal:  Sci Signal       Date:  2014-12-02       Impact factor: 8.192

10.  CRISPR-mediated Tagging with BirA Allows Proximity Labeling in Toxoplasma gondii.

Authors:  Shaojun Long; Kevin M Brown; L David Sibley
Journal:  Bio Protoc       Date:  2018-03-20
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Review 2.  Proximity-dependent labeling methods for proteomic profiling in living cells: An update.

Authors:  Justin A Bosch; Chiao-Lin Chen; Norbert Perrimon
Journal:  Wiley Interdiscip Rev Dev Biol       Date:  2020-09-10       Impact factor: 5.814

3.  Thiol-Cleavable Biotin for Chemical and Enzymatic Biotinylation and Its Application to Mitochondrial TurboID Proteomics.

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Review 6.  Detecting Cardiovascular Protein-Protein Interactions by Proximity Proteomics.

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7.  Mapping Proximity Associations of Core Spindle Assembly Checkpoint Proteins.

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Review 8.  The Regulation of RNA Modification Systems: The Next Frontier in Epitranscriptomics?

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9.  Development and Comparative Evaluation of Endolysosomal Proximity Labeling-Based Proteomic Methods in Human iPSC-Derived Neurons.

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10.  EDF1 coordinates cellular responses to ribosome collisions.

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Journal:  Elife       Date:  2020-08-03       Impact factor: 8.140

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