Development of a global screening system for detecting protein–protein interactions by luminescence complementation in fission yeast

Deciphering protein-protein interactions (PPIs) is crucial for a comprehensive understanding of biological processes, yet current methodologies often provide incomplete interactome maps. Here, we present a sensitive bimolecular NanoBiT-based protein complementation assay platform for robust PPI detection in the fission yeast Schizosaccharomyces pombe. Our platform utilizes two NanoLuc moieties, SmBiT and LgBiT, fused to interacting protein partners, generating a quantifiable luminescent signal upon interaction. To maximize the chances of detection and mitigate potential issues arising from tag position-dependent inactivation of bait proteins, our system enables simultaneous expression of two distinct bait constructs within a single cell: one with the LgBiT-tag fused at its N-terminus and another at its C-terminus. For the prey, we constructed a comprehensive ORFeome library of fission yeast proteins, each fused with SmBiT at its C-terminus, leveraging homologous recombination tools. We established efficient high-throughput methods for cloning and selection of single-copy integrants, enabling the rapid construction of the prey library and reliable identification of true yeast transformants. Validating the platform, high-throughput screening using the general transcription elongation factor Tfs1 successfully identified previously undetectable interactors. This versatile platform not only significantly expands the scope of interactome discovery but also offers a powerful tool for future protein-compound interaction studies.

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Publication Details

Journal
Scientific Reports
Published
2026-01-12
DOI
https://doi.org/10.1038/s41598-026-35430-8
Primary Topic
Bioinformatics and Genomic Networks
Type
article
Field-Weighted Citation Impact
0.00

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article

Development of a global screening system for detecting protein–protein interactions by luminescence complementation in fission yeast

Akihisa Matsuyama, Minoru Yoshida, Shinichi Nishimura, Manabu Arioka et al.
Scientific Reports
Bioinformatics and Genomic Networks
article

Development of a global screening system for detecting protein–protein interactions by luminescence complementation in fission yeast

Akihisa Matsuyama, Minoru Yoshida, Shinichi Nishimura, Manabu Arioka, Atsushi Hashimoto, Fereshteh Azadeh
article en

Abstract

Deciphering protein-protein interactions (PPIs) is crucial for a comprehensive understanding of biological processes, yet current methodologies often provide incomplete interactome maps. Here, we present a sensitive bimolecular NanoBiT-based protein complementation assay platform for robust PPI detection in the fission yeast Schizosaccharomyces pombe. Our platform utilizes two NanoLuc moieties, SmBiT and LgBiT, fused to interacting protein partners, generating a quantifiable luminescent signal upon interaction. To maximize the chances of detection and mitigate potential issues arising from tag position-dependent inactivation of bait proteins, our system enables simultaneous expression of two distinct bait constructs within a single cell: one with the LgBiT-tag fused at its N-terminus and another at its C-terminus. For the prey, we constructed a comprehensive ORFeome library of fission yeast proteins, each fused with SmBiT at its C-terminus, leveraging homologous recombination tools. We established efficient high-throughput methods for cloning and selection of single-copy integrants, enabling the rapid construction of the prey library and reliable identification of true yeast transformants. Validating the platform, high-throughput screening using the general transcription elongation factor Tfs1 successfully identified previously undetectable interactors. This versatile platform not only significantly expands the scope of interactome discovery but also offers a powerful tool for future protein-compound interaction studies.

Scientific ReportsVol. 16(1)
Hiroshima University (JP), National Human Genome Research Institute (US), RIKEN Center for Sustainable Resource Science (JP), The University of Tokyo (JP)
Ministry of Education, Culture, Sports, Science and Technology, Japan Society for the Promotion of Science
Openalex Percentile: Top 91%
Bioinformatics and Genomic Networks
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