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A miniTurbo-based proximity labeling protocol to identify conditional protein interactomes in vivo in Myxococcus xanthus

Protein-protein interactions are foundational for many cellular processes. Such interactions are especially challenging to identify if they are transient or depend on environmental conditions. This protocol details steps to identify stable and transient protein interactomes in the bacterium Myxococc...

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Detalles Bibliográficos
Autores principales: Herfurth, Marco, Müller, Franziska, Søgaard-Andersen, Lotte, Glatter, Timo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10630675/
https://www.ncbi.nlm.nih.gov/pubmed/37883223
http://dx.doi.org/10.1016/j.xpro.2023.102657
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author Herfurth, Marco
Müller, Franziska
Søgaard-Andersen, Lotte
Glatter, Timo
author_facet Herfurth, Marco
Müller, Franziska
Søgaard-Andersen, Lotte
Glatter, Timo
author_sort Herfurth, Marco
collection PubMed
description Protein-protein interactions are foundational for many cellular processes. Such interactions are especially challenging to identify if they are transient or depend on environmental conditions. This protocol details steps to identify stable and transient protein interactomes in the bacterium Myxococcus xanthus using biotin ligase miniTurbo-based proximity labeling. We include instructions for optimizing the expression of control proteins, in vivo biotin labeling of bacteria grown on a surface or in suspension culture, enrichment of biotinylated proteins, and sample processing for proteomic analysis. For complete details on the use and execution of this protocol, please refer to Branon et al. (2018).(1)
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spelling pubmed-106306752023-10-25 A miniTurbo-based proximity labeling protocol to identify conditional protein interactomes in vivo in Myxococcus xanthus Herfurth, Marco Müller, Franziska Søgaard-Andersen, Lotte Glatter, Timo STAR Protoc Protocol Protein-protein interactions are foundational for many cellular processes. Such interactions are especially challenging to identify if they are transient or depend on environmental conditions. This protocol details steps to identify stable and transient protein interactomes in the bacterium Myxococcus xanthus using biotin ligase miniTurbo-based proximity labeling. We include instructions for optimizing the expression of control proteins, in vivo biotin labeling of bacteria grown on a surface or in suspension culture, enrichment of biotinylated proteins, and sample processing for proteomic analysis. For complete details on the use and execution of this protocol, please refer to Branon et al. (2018).(1) Elsevier 2023-10-25 /pmc/articles/PMC10630675/ /pubmed/37883223 http://dx.doi.org/10.1016/j.xpro.2023.102657 Text en © 2023 The Authors https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Protocol
Herfurth, Marco
Müller, Franziska
Søgaard-Andersen, Lotte
Glatter, Timo
A miniTurbo-based proximity labeling protocol to identify conditional protein interactomes in vivo in Myxococcus xanthus
title A miniTurbo-based proximity labeling protocol to identify conditional protein interactomes in vivo in Myxococcus xanthus
title_full A miniTurbo-based proximity labeling protocol to identify conditional protein interactomes in vivo in Myxococcus xanthus
title_fullStr A miniTurbo-based proximity labeling protocol to identify conditional protein interactomes in vivo in Myxococcus xanthus
title_full_unstemmed A miniTurbo-based proximity labeling protocol to identify conditional protein interactomes in vivo in Myxococcus xanthus
title_short A miniTurbo-based proximity labeling protocol to identify conditional protein interactomes in vivo in Myxococcus xanthus
title_sort miniturbo-based proximity labeling protocol to identify conditional protein interactomes in vivo in myxococcus xanthus
topic Protocol
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10630675/
https://www.ncbi.nlm.nih.gov/pubmed/37883223
http://dx.doi.org/10.1016/j.xpro.2023.102657
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