Sample multiplexing-based targeted pathway proteomics with real-time analytics reveals the impact of genetic variation on protein expression
Targeted proteomics enables robust hypothesis-driven research. Here, Yu et al. present a multiplexed approach for targeted pathway proteomics and apply it to quantify protein families across 480 fully genotyped Diversity Outbred mice, revealing impacts of genetic variation on protein expression and...
| Main Authors: | , , , , , , , , , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2023-02-01
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| Series: | Nature Communications |
| Online Access: | https://doi.org/10.1038/s41467-023-36269-7 |
| _version_ | 1811171660916588544 |
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| author | Qing Yu Xinyue Liu Mark P. Keller Jose Navarrete-Perea Tian Zhang Sipei Fu Laura P. Vaites Steven R. Shuken Ernst Schmid Gregory R. Keele Jiaming Li Edward L. Huttlin Edrees H. Rashan Judith Simcox Gary A. Churchill Devin K. Schweppe Alan D. Attie Joao A. Paulo Steven P. Gygi |
| author_facet | Qing Yu Xinyue Liu Mark P. Keller Jose Navarrete-Perea Tian Zhang Sipei Fu Laura P. Vaites Steven R. Shuken Ernst Schmid Gregory R. Keele Jiaming Li Edward L. Huttlin Edrees H. Rashan Judith Simcox Gary A. Churchill Devin K. Schweppe Alan D. Attie Joao A. Paulo Steven P. Gygi |
| author_sort | Qing Yu |
| collection | DOAJ |
| description | Targeted proteomics enables robust hypothesis-driven research. Here, Yu et al. present a multiplexed approach for targeted pathway proteomics and apply it to quantify protein families across 480 fully genotyped Diversity Outbred mice, revealing impacts of genetic variation on protein expression and lipid metabolism. |
| first_indexed | 2024-04-10T17:17:39Z |
| format | Article |
| id | doaj.art-cd1a101b49ee4dfbb34edecc65790389 |
| institution | Directory Open Access Journal |
| issn | 2041-1723 |
| language | English |
| last_indexed | 2024-04-10T17:17:39Z |
| publishDate | 2023-02-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Nature Communications |
| spelling | doaj.art-cd1a101b49ee4dfbb34edecc657903892023-02-05T12:17:47ZengNature PortfolioNature Communications2041-17232023-02-0114111610.1038/s41467-023-36269-7Sample multiplexing-based targeted pathway proteomics with real-time analytics reveals the impact of genetic variation on protein expressionQing Yu0Xinyue Liu1Mark P. Keller2Jose Navarrete-Perea3Tian Zhang4Sipei Fu5Laura P. Vaites6Steven R. Shuken7Ernst Schmid8Gregory R. Keele9Jiaming Li10Edward L. Huttlin11Edrees H. Rashan12Judith Simcox13Gary A. Churchill14Devin K. Schweppe15Alan D. Attie16Joao A. Paulo17Steven P. Gygi18Department of Cell Biology, Harvard Medical SchoolDepartment of Cell Biology, Harvard Medical SchoolDepartment of Biochemistry, University of Wisconsin-MadisonDepartment of Cell Biology, Harvard Medical SchoolDepartment of Cell Biology, Harvard Medical SchoolDepartment of Cell Biology, Harvard Medical SchoolDepartment of Cell Biology, Harvard Medical SchoolDepartment of Cell Biology, Harvard Medical SchoolDepartment of Biological Chemistry and Molecular Pharmacology, Harvard Medical SchoolThe Jackson LaboratoryDepartment of Cell Biology, Harvard Medical SchoolDepartment of Cell Biology, Harvard Medical SchoolDepartment of Biochemistry, University of Wisconsin-MadisonDepartment of Biochemistry, University of Wisconsin-MadisonThe Jackson LaboratoryDepartment of Genome Sciences, University of WashingtonDepartment of Biochemistry, University of Wisconsin-MadisonDepartment of Cell Biology, Harvard Medical SchoolDepartment of Cell Biology, Harvard Medical SchoolTargeted proteomics enables robust hypothesis-driven research. Here, Yu et al. present a multiplexed approach for targeted pathway proteomics and apply it to quantify protein families across 480 fully genotyped Diversity Outbred mice, revealing impacts of genetic variation on protein expression and lipid metabolism.https://doi.org/10.1038/s41467-023-36269-7 |
| spellingShingle | Qing Yu Xinyue Liu Mark P. Keller Jose Navarrete-Perea Tian Zhang Sipei Fu Laura P. Vaites Steven R. Shuken Ernst Schmid Gregory R. Keele Jiaming Li Edward L. Huttlin Edrees H. Rashan Judith Simcox Gary A. Churchill Devin K. Schweppe Alan D. Attie Joao A. Paulo Steven P. Gygi Sample multiplexing-based targeted pathway proteomics with real-time analytics reveals the impact of genetic variation on protein expression Nature Communications |
| title | Sample multiplexing-based targeted pathway proteomics with real-time analytics reveals the impact of genetic variation on protein expression |
| title_full | Sample multiplexing-based targeted pathway proteomics with real-time analytics reveals the impact of genetic variation on protein expression |
| title_fullStr | Sample multiplexing-based targeted pathway proteomics with real-time analytics reveals the impact of genetic variation on protein expression |
| title_full_unstemmed | Sample multiplexing-based targeted pathway proteomics with real-time analytics reveals the impact of genetic variation on protein expression |
| title_short | Sample multiplexing-based targeted pathway proteomics with real-time analytics reveals the impact of genetic variation on protein expression |
| title_sort | sample multiplexing based targeted pathway proteomics with real time analytics reveals the impact of genetic variation on protein expression |
| url | https://doi.org/10.1038/s41467-023-36269-7 |
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