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Identification of Ku70 Domain-Specific Interactors Using BioID2
Since its inception, proximity-dependent biotin identification (BioID), an in vivo biochemical screening method to identify proximal protein interactors, has seen extensive developments. Improvements and variants of the original BioID technique are being reported regularly, each expanding upon the e...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8001828/ https://www.ncbi.nlm.nih.gov/pubmed/33799447 http://dx.doi.org/10.3390/cells10030646 |
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author | Abbasi, Sanna Schild-Poulter, Caroline |
author_facet | Abbasi, Sanna Schild-Poulter, Caroline |
author_sort | Abbasi, Sanna |
collection | PubMed |
description | Since its inception, proximity-dependent biotin identification (BioID), an in vivo biochemical screening method to identify proximal protein interactors, has seen extensive developments. Improvements and variants of the original BioID technique are being reported regularly, each expanding upon the existing potential of the original technique. While this is advancing our capabilities to study protein interactions under different contexts, we have yet to explore the full potential of the existing BioID variants already at our disposal. Here, we used BioID2 in an innovative manner to identify and map domain-specific protein interactions for the human Ku70 protein. Four HEK293 cell lines were created, each stably expressing various BioID2-tagged Ku70 segments designed to collectively identify factors that interact with different regions of Ku70. Historically, although many interactions have been mapped to the C-terminus of the Ku70 protein, few have been mapped to the N-terminal von Willebrand A-like domain, a canonical protein-binding domain ideally situated as a site for protein interaction. Using this segmented approach, we were able to identify domain-specific interactors as well as evaluate advantages and drawbacks of the BioID2 technique. Our study identifies several potential new Ku70 interactors and validates RNF113A and Spindly as proteins that contact or co-localize with Ku in a Ku70 vWA domain-specific manner. |
format | Online Article Text |
id | pubmed-8001828 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-80018282021-03-28 Identification of Ku70 Domain-Specific Interactors Using BioID2 Abbasi, Sanna Schild-Poulter, Caroline Cells Article Since its inception, proximity-dependent biotin identification (BioID), an in vivo biochemical screening method to identify proximal protein interactors, has seen extensive developments. Improvements and variants of the original BioID technique are being reported regularly, each expanding upon the existing potential of the original technique. While this is advancing our capabilities to study protein interactions under different contexts, we have yet to explore the full potential of the existing BioID variants already at our disposal. Here, we used BioID2 in an innovative manner to identify and map domain-specific protein interactions for the human Ku70 protein. Four HEK293 cell lines were created, each stably expressing various BioID2-tagged Ku70 segments designed to collectively identify factors that interact with different regions of Ku70. Historically, although many interactions have been mapped to the C-terminus of the Ku70 protein, few have been mapped to the N-terminal von Willebrand A-like domain, a canonical protein-binding domain ideally situated as a site for protein interaction. Using this segmented approach, we were able to identify domain-specific interactors as well as evaluate advantages and drawbacks of the BioID2 technique. Our study identifies several potential new Ku70 interactors and validates RNF113A and Spindly as proteins that contact or co-localize with Ku in a Ku70 vWA domain-specific manner. MDPI 2021-03-14 /pmc/articles/PMC8001828/ /pubmed/33799447 http://dx.doi.org/10.3390/cells10030646 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) ). |
spellingShingle | Article Abbasi, Sanna Schild-Poulter, Caroline Identification of Ku70 Domain-Specific Interactors Using BioID2 |
title | Identification of Ku70 Domain-Specific Interactors Using BioID2 |
title_full | Identification of Ku70 Domain-Specific Interactors Using BioID2 |
title_fullStr | Identification of Ku70 Domain-Specific Interactors Using BioID2 |
title_full_unstemmed | Identification of Ku70 Domain-Specific Interactors Using BioID2 |
title_short | Identification of Ku70 Domain-Specific Interactors Using BioID2 |
title_sort | identification of ku70 domain-specific interactors using bioid2 |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8001828/ https://www.ncbi.nlm.nih.gov/pubmed/33799447 http://dx.doi.org/10.3390/cells10030646 |
work_keys_str_mv | AT abbasisanna identificationofku70domainspecificinteractorsusingbioid2 AT schildpoultercaroline identificationofku70domainspecificinteractorsusingbioid2 |