Data-independent acquisition method for ubiquitinome analysis reveals regulation of circadian biology
Protein ubiquitylation is often studied by proteomics but how data independent acquisition (DIA) may advance these studies remains to be explored. Here, the authors show that DIA improves ubiquitylation site identification and quantification, enabling them to characterize the circadian ubiquitinome...
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| Format: | Article |
| Language: | English |
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Nature Publishing Group
2021-01-01
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| Series: | Nature Communications |
| Online Access: | https://doi.org/10.1038/s41467-020-20509-1 |
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doaj-9eaa29ea46a94e44b8746ae5c1156fde2021-01-17T12:12:23ZengNature Publishing GroupNature Communications2041-17232021-01-0112111310.1038/s41467-020-20509-1Data-independent acquisition method for ubiquitinome analysis reveals regulation of circadian biologyFynn M. Hansen0Maria C. Tanzer1Franziska Brüning2Isabell Bludau3Che Stafford4Brenda A. Schulman5Maria S. Robles6Ozge Karayel7Matthias Mann8Department of Proteomics and Signal Transduction, Max Planck Institute of BiochemistryDepartment of Proteomics and Signal Transduction, Max Planck Institute of BiochemistryDepartment of Proteomics and Signal Transduction, Max Planck Institute of BiochemistryDepartment of Proteomics and Signal Transduction, Max Planck Institute of BiochemistryGene Center and Department of Biochemistry, Ludwig-Maximilians-Universität MünchenDepartment of Molecular Machines and Signaling, Max Planck Institute of BiochemistryInstitute of Medical Psychology, Faculty of Medicine, LMUDepartment of Proteomics and Signal Transduction, Max Planck Institute of BiochemistryDepartment of Proteomics and Signal Transduction, Max Planck Institute of BiochemistryProtein ubiquitylation is often studied by proteomics but how data independent acquisition (DIA) may advance these studies remains to be explored. Here, the authors show that DIA improves ubiquitylation site identification and quantification, enabling them to characterize the circadian ubiquitinome in human cells.https://doi.org/10.1038/s41467-020-20509-1 |
| collection |
DOAJ |
| language |
English |
| format |
Article |
| sources |
DOAJ |
| author |
Fynn M. Hansen Maria C. Tanzer Franziska Brüning Isabell Bludau Che Stafford Brenda A. Schulman Maria S. Robles Ozge Karayel Matthias Mann |
| spellingShingle |
Fynn M. Hansen Maria C. Tanzer Franziska Brüning Isabell Bludau Che Stafford Brenda A. Schulman Maria S. Robles Ozge Karayel Matthias Mann Data-independent acquisition method for ubiquitinome analysis reveals regulation of circadian biology Nature Communications |
| author_facet |
Fynn M. Hansen Maria C. Tanzer Franziska Brüning Isabell Bludau Che Stafford Brenda A. Schulman Maria S. Robles Ozge Karayel Matthias Mann |
| author_sort |
Fynn M. Hansen |
| title |
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_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_sort |
data-independent acquisition method for ubiquitinome analysis reveals regulation of circadian biology |
| publisher |
Nature Publishing Group |
| series |
Nature Communications |
| issn |
2041-1723 |
| publishDate |
2021-01-01 |
| description |
Protein ubiquitylation is often studied by proteomics but how data independent acquisition (DIA) may advance these studies remains to be explored. Here, the authors show that DIA improves ubiquitylation site identification and quantification, enabling them to characterize the circadian ubiquitinome in human cells. |
| url |
https://doi.org/10.1038/s41467-020-20509-1 |
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