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Data-independent acquisition method for ubiquitinome analysis reveals regulation of circadian biology
Protein ubiquitination is involved in virtually all cellular processes. Enrichment strategies employing antibodies targeting ubiquitin-derived diGly remnants combined with mass spectrometry (MS) have enabled investigations of ubiquitin signaling at a large scale. However, so far the power of data in...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7801436/ https://www.ncbi.nlm.nih.gov/pubmed/33431886 http://dx.doi.org/10.1038/s41467-020-20509-1 |
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author | Hansen, Fynn M. Tanzer, Maria C. Brüning, Franziska Bludau, Isabell Stafford, Che Schulman, Brenda A. Robles, Maria S. Karayel, Ozge Mann, Matthias |
author_facet | Hansen, Fynn M. Tanzer, Maria C. Brüning, Franziska Bludau, Isabell Stafford, Che Schulman, Brenda A. Robles, Maria S. Karayel, Ozge Mann, Matthias |
author_sort | Hansen, Fynn M. |
collection | PubMed |
description | Protein ubiquitination is involved in virtually all cellular processes. Enrichment strategies employing antibodies targeting ubiquitin-derived diGly remnants combined with mass spectrometry (MS) have enabled investigations of ubiquitin signaling at a large scale. However, so far the power of data independent acquisition (DIA) with regards to sensitivity in single run analysis and data completeness have not yet been explored. Here, we develop a sensitive workflow combining diGly antibody-based enrichment and optimized Orbitrap-based DIA with comprehensive spectral libraries together containing more than 90,000 diGly peptides. This approach identifies 35,000 diGly peptides in single measurements of proteasome inhibitor-treated cells – double the number and quantitative accuracy of data dependent acquisition. Applied to TNF signaling, the workflow comprehensively captures known sites while adding many novel ones. An in-depth, systems-wide investigation of ubiquitination across the circadian cycle uncovers hundreds of cycling ubiquitination sites and dozens of cycling ubiquitin clusters within individual membrane protein receptors and transporters, highlighting new connections between metabolism and circadian regulation. |
format | Online Article Text |
id | pubmed-7801436 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-78014362021-01-21 Data-independent acquisition method for ubiquitinome analysis reveals regulation of circadian biology Hansen, Fynn M. Tanzer, Maria C. Brüning, Franziska Bludau, Isabell Stafford, Che Schulman, Brenda A. Robles, Maria S. Karayel, Ozge Mann, Matthias Nat Commun Article Protein ubiquitination is involved in virtually all cellular processes. Enrichment strategies employing antibodies targeting ubiquitin-derived diGly remnants combined with mass spectrometry (MS) have enabled investigations of ubiquitin signaling at a large scale. However, so far the power of data independent acquisition (DIA) with regards to sensitivity in single run analysis and data completeness have not yet been explored. Here, we develop a sensitive workflow combining diGly antibody-based enrichment and optimized Orbitrap-based DIA with comprehensive spectral libraries together containing more than 90,000 diGly peptides. This approach identifies 35,000 diGly peptides in single measurements of proteasome inhibitor-treated cells – double the number and quantitative accuracy of data dependent acquisition. Applied to TNF signaling, the workflow comprehensively captures known sites while adding many novel ones. An in-depth, systems-wide investigation of ubiquitination across the circadian cycle uncovers hundreds of cycling ubiquitination sites and dozens of cycling ubiquitin clusters within individual membrane protein receptors and transporters, highlighting new connections between metabolism and circadian regulation. Nature Publishing Group UK 2021-01-11 /pmc/articles/PMC7801436/ /pubmed/33431886 http://dx.doi.org/10.1038/s41467-020-20509-1 Text en © The Author(s) 2021 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Hansen, Fynn M. Tanzer, Maria C. Brüning, Franziska Bludau, Isabell Stafford, Che Schulman, Brenda A. Robles, Maria S. Karayel, Ozge Mann, Matthias Data-independent acquisition method for ubiquitinome analysis reveals regulation of circadian biology |
title | Data-independent acquisition method for ubiquitinome analysis reveals regulation of circadian biology |
title_full | Data-independent acquisition method for ubiquitinome analysis reveals regulation of circadian biology |
title_fullStr | Data-independent acquisition method for ubiquitinome analysis reveals regulation of circadian biology |
title_full_unstemmed | Data-independent acquisition method for ubiquitinome analysis reveals regulation of circadian biology |
title_short | Data-independent acquisition method for ubiquitinome analysis reveals regulation of circadian biology |
title_sort | data-independent acquisition method for ubiquitinome analysis reveals regulation of circadian biology |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7801436/ https://www.ncbi.nlm.nih.gov/pubmed/33431886 http://dx.doi.org/10.1038/s41467-020-20509-1 |
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