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Optimized protocol for in vivo affinity purification proteomics and biochemistry using C. elegans
We present an optimized protocol for in vivo affinity purification proteomics and biochemistry using the model organism C. elegans. We describe steps for target tagging, large-scale culture, affinity purification using a cryomill, mass spectrometry and validation of candidate binding proteins. Our a...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10323129/ https://www.ncbi.nlm.nih.gov/pubmed/37294631 http://dx.doi.org/10.1016/j.xpro.2023.102262 |
_version_ | 1785068902126977024 |
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author | Desbois, Muriel Pak, Joseph S. Opperman, Karla J. Giles, Andrew C. Grill, Brock |
author_facet | Desbois, Muriel Pak, Joseph S. Opperman, Karla J. Giles, Andrew C. Grill, Brock |
author_sort | Desbois, Muriel |
collection | PubMed |
description | We present an optimized protocol for in vivo affinity purification proteomics and biochemistry using the model organism C. elegans. We describe steps for target tagging, large-scale culture, affinity purification using a cryomill, mass spectrometry and validation of candidate binding proteins. Our approach has proven successful for identifying protein-protein interactions and signaling networks with verified functional relevance. Our protocol is also suitable for biochemical evaluation of protein-protein interactions in vivo. For complete details on the use and execution of this protocol, please refer to Crawley et al.,(1) Giles et al.,(2) and Desbois et al.(3) |
format | Online Article Text |
id | pubmed-10323129 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-103231292023-07-07 Optimized protocol for in vivo affinity purification proteomics and biochemistry using C. elegans Desbois, Muriel Pak, Joseph S. Opperman, Karla J. Giles, Andrew C. Grill, Brock STAR Protoc Protocol We present an optimized protocol for in vivo affinity purification proteomics and biochemistry using the model organism C. elegans. We describe steps for target tagging, large-scale culture, affinity purification using a cryomill, mass spectrometry and validation of candidate binding proteins. Our approach has proven successful for identifying protein-protein interactions and signaling networks with verified functional relevance. Our protocol is also suitable for biochemical evaluation of protein-protein interactions in vivo. For complete details on the use and execution of this protocol, please refer to Crawley et al.,(1) Giles et al.,(2) and Desbois et al.(3) Elsevier 2023-06-08 /pmc/articles/PMC10323129/ /pubmed/37294631 http://dx.doi.org/10.1016/j.xpro.2023.102262 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 Desbois, Muriel Pak, Joseph S. Opperman, Karla J. Giles, Andrew C. Grill, Brock Optimized protocol for in vivo affinity purification proteomics and biochemistry using C. elegans |
title | Optimized protocol for in vivo affinity purification proteomics and biochemistry using C. elegans |
title_full | Optimized protocol for in vivo affinity purification proteomics and biochemistry using C. elegans |
title_fullStr | Optimized protocol for in vivo affinity purification proteomics and biochemistry using C. elegans |
title_full_unstemmed | Optimized protocol for in vivo affinity purification proteomics and biochemistry using C. elegans |
title_short | Optimized protocol for in vivo affinity purification proteomics and biochemistry using C. elegans |
title_sort | optimized protocol for in vivo affinity purification proteomics and biochemistry using c. elegans |
topic | Protocol |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10323129/ https://www.ncbi.nlm.nih.gov/pubmed/37294631 http://dx.doi.org/10.1016/j.xpro.2023.102262 |
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