Massively parallel measurement of protein-protein interactions by sequencing using MP3-seq.


Journal

Nature chemical biology
ISSN: 1552-4469
Titre abrégé: Nat Chem Biol
Pays: United States
ID NLM: 101231976

Informations de publication

Date de publication:
27 Aug 2024
Historique:
received: 27 09 2023
accepted: 01 08 2024
medline: 28 8 2024
pubmed: 28 8 2024
entrez: 27 8 2024
Statut: aheadofprint

Résumé

Protein-protein interactions (PPIs) regulate many cellular processes and engineered PPIs have cell and gene therapy applications. Here, we introduce massively parallel PPI measurement by sequencing (MP3-seq), an easy-to-use and highly scalable yeast two-hybrid approach for measuring PPIs. In MP3-seq, DNA barcodes are associated with specific protein pairs and barcode enrichment can be read by sequencing to provide a direct measure of interaction strength. We show that MP3-seq is highly quantitative and scales to over 100,000 interactions. We apply MP3-seq to characterize interactions between families of rationally designed heterodimers and to investigate elements conferring specificity to coiled-coil interactions. Lastly, we predict coiled heterodimer structures using AlphaFold-Multimer (AF-M) and train linear models on physics-based energy terms to predict MP3-seq values. We find that AF-M-based models could be valuable for prescreening interactions but experimentally measuring interactions remains necessary to rank their strengths quantitatively.

Identifiants

pubmed: 39192093
doi: 10.1038/s41589-024-01718-x
pii: 10.1038/s41589-024-01718-x
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Subventions

Organisme : U.S. Department of Health & Human Services | NIH | National Institute of General Medical Sciences (NIGMS)
ID : R01GM120379
Organisme : National Science Foundation (NSF)
ID : 2312398
Organisme : United States Department of Defense | United States Navy | Office of Naval Research (ONR)
ID : N00014-16-1-3189

Informations de copyright

© 2024. The Author(s).

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Auteurs

Alexandr Baryshev (A)

Department of Electrical & Computer Engineering, University of Washington, Seattle, WA, USA.

Alyssa La Fleur (A)

Paul G. Allen School of Computer Science and Engineering, University of Washington, Seattle, WA, USA.

Benjamin Groves (B)

Department of Electrical & Computer Engineering, University of Washington, Seattle, WA, USA.

Cirstyn Michel (C)

Department of Bioengineering, University of Washington, Seattle, WA, USA.

David Baker (D)

Department of Bioengineering, University of Washington, Seattle, WA, USA.
Department of Biochemistry, University of Washington, Seattle, WA, USA.
Institute for Protein Design, University of Washington, Seattle, WA, USA.
Howard Hughes Medical Institute, University of Washington, Seattle, WA, USA.

Ajasja Ljubetič (A)

Department of Biochemistry, University of Washington, Seattle, WA, USA. ajasja.ljubetic@ki.si.
Institute for Protein Design, University of Washington, Seattle, WA, USA. ajasja.ljubetic@ki.si.
Department for Synthetic Biology and Immunology, National Institute of Chemistry, Ljubljana, Slovenia. ajasja.ljubetic@ki.si.

Georg Seelig (G)

Department of Electrical & Computer Engineering, University of Washington, Seattle, WA, USA. gseelig@uw.edu.
Paul G. Allen School of Computer Science and Engineering, University of Washington, Seattle, WA, USA. gseelig@uw.edu.

Classifications MeSH