Evidence map›Paper›PMID 40676061›Full record

ArticleScientific reports2025

Long-read sequencing to detect full-length protein-protein interactions.

Stephanie Schaefer-Ramadan, Yue Guan, Ayeda A Ahmed, Jovana Aleksic, Khadija A Elmagarmid, Leena F Syed, Yasmin A Mohamoud, Joel A Malek

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Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Stephanie Schaefer-RamadanDepartment of Genetic Medicine, Weill Cornell Medicine in Qatar, Doha, Qatar.
Yue GuanDepartment of Genetic Medicine, Weill Cornell Medicine in Qatar, Doha, Qatar.
Ayeda A AhmedGenomics Laboratory, Weill Cornell Medicine in Qatar, Doha, Qatar.
Jovana AleksicDepartment of Genetic Medicine, Weill Cornell Medicine in Qatar, Doha, Qatar.
Khadija A ElmagarmidMedical Education, Weill Cornell Medicine in Qatar, Doha, Qatar.
Leena F SyedMedical Education, Weill Cornell Medicine in Qatar, Doha, Qatar.
Yasmin A MohamoudGenomics Laboratory, Weill Cornell Medicine in Qatar, Doha, Qatar.
Joel A MalekDepartment of Genetic Medicine, Weill Cornell Medicine in Qatar, Doha, Qatar. jom2042@qatar-med.cornell.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Given the increased predictions on interactome size and demand for protein function information, methods for detecting protein-protein interactions remain a significant development area. The all-vs.-all sequencing (AVA-Seq) method utilizes a convergent fusion plasmid design to make two-hybrid technology amenable to next-generation sequencing. Here, we further innovate to take advantage of synthetic DNA technologies and Oxford Nanopore Technologies long-read sequencing improvements to allow us to determine full-length protein-protein interactions. We tested 3,115 human protein-protein pairs using this approach and recovered 159 protein-protein interactions from a set of 57 full-length human proteins. Fifteen of the 159 full-length protein-protein interactions matched known human interactions. When referencing a human gold standard set of interactions, eight full-length protein-protein interactions were recovered from an expected 28 interaction pairs (28.6%), a typical recovery rate for two-hybrid technologies. The AVA-Seq method, in combination with the ease of synthetic DNA production and the MinION platform, offers a low-cost, high-throughput alternative for determining protein-protein interactions, which can be utilized in research labs at all stages.

Indexed as

High-Throughput Nucleotide SequencingProtein Interaction MappingProteinsHumansProtein BindingProtein Interaction MapsTwo-Hybrid System TechniquesProteinsLong-read sequencingOxford nanopore technologiesProtein–protein interactionSingle-molecule sequencingTwo-hybrid

Identifiers

PMID40676061
PMCPMC12271486

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.