Mapping protein networks in yeast mitochondria using proximity-dependent biotin identification coupled to proteomics

Roger Salvatori; Wasim Aftab; Ignasi Forne; Axel Imhof; Martin Ott; Abeer Prakash Singh

doi:10.1016/j.xpro.2020.100219

Mapping protein networks in yeast mitochondria using proximity-dependent biotin identification coupled to proteomics

STAR Protoc. 2020 Dec 15;1(3):100219. doi: 10.1016/j.xpro.2020.100219. eCollection 2020 Dec 18.

Authors

Roger Salvatori^{1

2}, Wasim Aftab^{3

4}, Ignasi Forne³, Axel Imhof³, Martin Ott^{1

2}, Abeer Prakash Singh^{1

2}

Affiliations

¹ Department of Biochemistry and Biophysics, Stockholm University, Stockholm 10691, Sweden.
² Department of Medical Biochemistry and Cell Biology, University of Gothenburg, Gothenburg 40530, Sweden.
³ BioMedical Center, Faculty of Medicine, Ludwig Maximilians University of Munich, Planegg-Martinsried 82152, Germany.
⁴ Graduate School for Quantitative Biosciences (QBM), Ludwig Maximilians University of Munich, Munich 81377, Germany.

Abstract

Proximity-dependent biotin identification (BioID) permits biotinylation of proteins interacting directly, indirectly, or just localized in proximity of a protein of interest (bait). Here, we describe how BioID coupled to proteomics and network biology can be used to map protein proximities in yeast mitochondria, aiding in visualization of complex protein-protein interaction landscapes. For complete information on the use and execution of this protocol, please refer to Singh et al., 2020.

Keywords: Bioinformatics; Molecular Biology; Protein Biochemistry; Proteomics.

Publication types

Research Support, Non-U.S. Gov't

MeSH terms

Biotin / chemistry
Biotin / metabolism
Biotinylation / methods
Computational Biology / methods
Mitochondria / metabolism*
Mitochondria / physiology
Protein Binding / physiology
Protein Interaction Mapping / methods*
Proteins / metabolism
Proteomics / methods*
Saccharomyces cerevisiae / metabolism

Substances

Proteins
Biotin