Evidence map›Paper›PMID 42768123›Full record

ArticleNature genetics2026

Genetic landscape of an in vivo protein interactome.

Savandara Besse, Tatsuya Sakaguchi, Louis Gauthier, Zahra Sahaf, Rini Ravindran, Lidice Gonzalez, Xavier Castellanos-Girouard, Cassandre Clermont, Nazli Koçatug, Olivier Péloquin and 4 more

Abstract read
PubMed Publisher
In one paragraph

Article in Nature genetics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

14 authors.

Savandara Besse *Department of Biochemistry and L'Institut Courtois d'innovation biomédicale, Université de Montréal, Montréal, Québec, Canada.
Tatsuya Sakaguchi *Department of Biochemistry and L'Institut Courtois d'innovation biomédicale, Université de Montréal, Montréal, Québec, Canada.ORCID http://orcid.org/0000-0002-5899-9297
Louis GauthierDepartment of Biochemistry and L'Institut Courtois d'innovation biomédicale, Université de Montréal, Montréal, Québec, Canada.
Zahra SahafDepartment of Biochemistry and L'Institut Courtois d'innovation biomédicale, Université de Montréal, Montréal, Québec, Canada.
Rini RavindranDepartment of Biochemistry and L'Institut Courtois d'innovation biomédicale, Université de Montréal, Montréal, Québec, Canada.
Lidice GonzalezDepartment of Biochemistry and L'Institut Courtois d'innovation biomédicale, Université de Montréal, Montréal, Québec, Canada.
Xavier Castellanos-GirouardDepartment of Biochemistry and L'Institut Courtois d'innovation biomédicale, Université de Montréal, Montréal, Québec, Canada.
Cassandre ClermontDepartment of Biochemistry and L'Institut Courtois d'innovation biomédicale, Université de Montréal, Montréal, Québec, Canada.
Nazli KoçatugDepartment of Biochemistry and L'Institut Courtois d'innovation biomédicale, Université de Montréal, Montréal, Québec, Canada.
Olivier PéloquinDepartment of Biochemistry and L'Institut Courtois d'innovation biomédicale, Université de Montréal, Montréal, Québec, Canada.
Chloé MattaDepartment of Biochemistry and L'Institut Courtois d'innovation biomédicale, Université de Montréal, Montréal, Québec, Canada.
Julie G HussinInstitut de Cardiologie de Montréal, Montréal, Québec, Canada.
Stephen W MichnickDepartment of Biochemistry and L'Institut Courtois d'innovation biomédicale, Université de Montréal, Montréal, Québec, Canada. Stephen.michnick@umontreal.ca.ORCID http://orcid.org/0000-0002-9366-6762
Adrian W R SerohijosDepartment of Biochemistry and L'Institut Courtois d'innovation biomédicale, Université de Montréal, Montréal, Québec, Canada. Adrian.serohijos@umontreal.ca.ORCID http://orcid.org/0000-0001-8369-982X

Funding

Canada Research Chairs (Chaires de recherche du Canada) CRC-2022-00138Canada Research Chairs (Chaires de recherche du Canada) CRC-2024-00027Fonds de Recherche du Québec - Santé (Fonds de la recherche en sante du Quebec) 311067Gouvernement du Canada | Canadian Institutes of Health Research (Instituts de Recherche en Santé du Canada) MOP-GMX-152556Gouvernement du Canada | Canadian Institutes of Health Research (Instituts de Recherche en Santé du Canada) PJT-G-408523 and PJT-GMX-274003
6 · The paper itself

Abstract

Protein-protein interaction (PPI) networks accurately map environmental perturbations to their molecular consequences in cells, yet the effects of natural genetic variation on PPIs remain poorly understood. Here we measured 61 reporter PPIs across inbred strains of Saccharomyces cerevisiae harboring ~12,000 single-nucleotide polymorphisms and identified protein-interaction quantitative trait loci (piQTLs) linking genomic variation to in vivo PPI strength. trans-acting piQTLs were significantly enriched and exhibited stronger per-variant effect sizes than cis-acting piQTLs. Consistent with the small-world architecture of PPI networks, trans-piQTLs often mapped to genes encoding proteins in close network proximity to reporter PPIs. We identified and validated piQTLs in poorly annotated regions, including noncoding RNAs and 3'UTRs, with effects comparable to coding single-nucleotide polymorphisms. piQTLs also overlapped more with protein abundance QTLs than expression QTLs, highlighting how PPI networks capture post-transcriptional and proteome-level regulation. This study provides a roadmap for dissecting complex traits through PPI network analysis.

Indexed as

Protein Interaction MapsQuantitative Trait LociSaccharomyces cerevisiaeSaccharomyces cerevisiae Proteins3' Untranslated RegionsPolymorphism, Single NucleotideProtein Interaction Mapping3' Untranslated RegionsSaccharomyces cerevisiae Proteins

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.