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Polacco BJ, Lobingier BT, Blythe EE, Abreu N, Khare P, Howard MK, Gonzalez-Hernandez AJ, Xu J, Li Q, Novy B, Naing ZZC, Shoichet BK, Coyote-Maestas W, Levitz J, Krogan NJ, Von Zastrow M, Hüttenhain R. Profiling the proximal proteome of the activated μ-opioid receptor. Nat Chem Biol 2024:10.1038/s41589-024-01588-3. [PMID: 38528119 DOI: 10.1038/s41589-024-01588-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2022] [Accepted: 02/22/2024] [Indexed: 03/27/2024]
Abstract
The μ-opioid receptor (μOR) represents an important target of therapeutic and abused drugs. So far, most understanding of μOR activity has focused on a subset of known signal transducers and regulatory molecules. Yet μOR signaling is coordinated by additional proteins in the interaction network of the activated receptor, which have largely remained invisible given the lack of technologies to interrogate these networks systematically. Here we describe a proteomics and computational approach to map the proximal proteome of the activated μOR and to extract subcellular location, trafficking and functional partners of G-protein-coupled receptor (GPCR) activity. We demonstrate that distinct opioid agonists exert differences in the μOR proximal proteome mediated by endocytosis and endosomal sorting. Moreover, we identify two new μOR network components, EYA4 and KCTD12, which are recruited on the basis of receptor-triggered G-protein activation and might form a previously unrecognized buffering system for G-protein activity broadly modulating cellular GPCR signaling.
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Affiliation(s)
- Benjamin J Polacco
- Quantitative Biosciences Institute (QBI), University of California, San Francisco, CA, USA
- J. David Gladstone Institutes, San Francisco, CA, USA
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, CA, USA
| | - Braden T Lobingier
- Department of Chemical Physiology and Biochemistry, Oregon Health and Sciences University, Portland, OR, USA
| | - Emily E Blythe
- Quantitative Biosciences Institute (QBI), University of California, San Francisco, CA, USA
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, CA, USA
- Department of Psychiatry and Behavioral Sciences, University of California San Francisco, San Francisco, CA, USA
| | - Nohely Abreu
- Department of Biochemistry, Weill Cornell Medicine, New York, NY, USA
| | - Prachi Khare
- Quantitative Biosciences Institute (QBI), University of California, San Francisco, CA, USA
- J. David Gladstone Institutes, San Francisco, CA, USA
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, CA, USA
| | - Matthew K Howard
- Department of Bioengineering and Therapeutic Sciences, University of California San Francisco, San Francisco, CA, USA
- Department of Pharmaceutical Chemistry, University of California San Francisco, San Francisco, CA, USA
- TETRAD Graduate Program, University of California San Francisco, San Francisco, CA, USA
| | | | - Jiewei Xu
- Quantitative Biosciences Institute (QBI), University of California, San Francisco, CA, USA
- J. David Gladstone Institutes, San Francisco, CA, USA
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, CA, USA
| | - Qiongyu Li
- Quantitative Biosciences Institute (QBI), University of California, San Francisco, CA, USA
- J. David Gladstone Institutes, San Francisco, CA, USA
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, CA, USA
| | - Brandon Novy
- Department of Chemical Physiology and Biochemistry, Oregon Health and Sciences University, Portland, OR, USA
| | - Zun Zar Chi Naing
- Quantitative Biosciences Institute (QBI), University of California, San Francisco, CA, USA
- J. David Gladstone Institutes, San Francisco, CA, USA
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, CA, USA
| | - Brian K Shoichet
- Quantitative Biosciences Institute (QBI), University of California, San Francisco, CA, USA
- Department of Pharmaceutical Chemistry, University of California San Francisco, San Francisco, CA, USA
| | - Willow Coyote-Maestas
- Quantitative Biosciences Institute (QBI), University of California, San Francisco, CA, USA
- Department of Bioengineering and Therapeutic Sciences, University of California San Francisco, San Francisco, CA, USA
- Chan Zuckerberg Biohub, San Francisco, CA, USA
| | - Joshua Levitz
- Department of Biochemistry, Weill Cornell Medicine, New York, NY, USA
| | - Nevan J Krogan
- Quantitative Biosciences Institute (QBI), University of California, San Francisco, CA, USA
- J. David Gladstone Institutes, San Francisco, CA, USA
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, CA, USA
| | - Mark Von Zastrow
- Quantitative Biosciences Institute (QBI), University of California, San Francisco, CA, USA.
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, CA, USA.
- Department of Psychiatry and Behavioral Sciences, University of California San Francisco, San Francisco, CA, USA.
| | - Ruth Hüttenhain
- Quantitative Biosciences Institute (QBI), University of California, San Francisco, CA, USA.
- J. David Gladstone Institutes, San Francisco, CA, USA.
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, CA, USA.
- Department of Molecular and Cellular Physiology, Stanford University, Stanford, CA, USA.
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