Evidence map›Paper›PMID 39437715›Full record

ArticleCell reports methods2024

Accurate and sensitive interactome profiling using a quantitative protein-fragment complementation assay.

Natalia Lazarewicz, Gaëlle Le Dez, Romina Cerjani, Lunelys Runeshaw, Matthias Meurer, Michael Knop, Robert Wysocki, Gwenaël Rabut

Abstract read
In one paragraph

Article in Cell reports methods, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Review
  3. Review
  4. Review
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

8 authors.

Natalia LazarewiczUniversity Rennes, CNRS, INSERM, Institut de Génétique et Développement de Rennes (IGDR), UMR6290, U1305, Rennes, France; Department of Genetics and Cell Physiology, Faculty of Biological Sciences, University of Wroclaw, Wroclaw, Poland.
Gaëlle Le DezUniversity Rennes, CNRS, INSERM, Institut de Génétique et Développement de Rennes (IGDR), UMR6290, U1305, Rennes, France.
Romina CerjaniUniversity Rennes, CNRS, INSERM, Institut de Génétique et Développement de Rennes (IGDR), UMR6290, U1305, Rennes, France.
Lunelys RuneshawUniversity Rennes, CNRS, INSERM, Institut de Génétique et Développement de Rennes (IGDR), UMR6290, U1305, Rennes, France.
Matthias MeurerZentrum für Molekulare Biologie der Universität Heidelberg (ZMBH), DKFZ-ZMBH Alliance, Heidelberg, Germany.
Michael KnopZentrum für Molekulare Biologie der Universität Heidelberg (ZMBH), DKFZ-ZMBH Alliance, Heidelberg, Germany.
Robert WysockiDepartment of Genetics and Cell Physiology, Faculty of Biological Sciences, University of Wroclaw, Wroclaw, Poland.
Gwenaël RabutUniversity Rennes, CNRS, INSERM, Institut de Génétique et Développement de Rennes (IGDR), UMR6290, U1305, Rennes, France. Electronic address: gwenael.rabut@univ-rennes.fr.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

An accurate description of protein-protein interaction (PPI) networks is key to understanding the molecular mechanisms underlying cellular systems. Here, we constructed genome-wide libraries of yeast strains to systematically probe protein-protein interactions using NanoLuc Binary Technology (NanoBiT), a quantitative protein-fragment complementation assay (PCA) based on the NanoLuc luciferase. By investigating an array of well-documented PPIs as well as the interactome of four proteins with varying levels of characterization-including the well-studied nonsense-mediated mRNA decay (NMD) regulator Upf1 and the SCF complex subunits Cdc53 and Met30-we demonstrate that ratiometric NanoBiT measurements enable highly precise and sensitive mapping of PPIs. This work provides a foundation for employing NanoBiT in the assembly of more comprehensive and accurate protein interaction maps as well as in their functional investigation.

Indexed as

Protein Interaction MappingLuciferasesProtein Interaction MapsSaccharomyces cerevisiaeSaccharomyces cerevisiae ProteinsLuciferasesSaccharomyces cerevisiae Proteinsbudding yeastCdc53CP: Systems biologyinteractomeIrc20Met30Nam7NanoBiTprotein-protein interactionSaccharomyces cerevisiaeUpf1

Identifiers

PMID39437715
PMCPMC11573789

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Registered trials

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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.