Evidence map›Paper›PMID 38664367›Full record

ArticleNature communications2024

Denaturing mass photometry for rapid optimization of chemical protein-protein cross-linking reactions.

Hugo Gizardin-Fredon, Paulo E Santo, Marie-Eve Chagot, Bruno Charpentier, Tiago M Bandeiras, Xavier Manival, Oscar Hernandez-Alba, Sarah Cianférani

Open access · goldAbstract read
In one paragraph

Article in Nature communications, 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
2.6field-weighted citation impact, top 10% of its field
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, 11 citations in OpenAlex.

  1. Article
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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 at 2 institutions in 2 countries.

Hugo Gizardin-FredonLaboratoire de Spectrométrie de Masse BioOrganique, IPHC UMR 7178, Université de Strasbourg, CNRS, Strasbourg, France.ORCID http://orcid.org/0000-0002-3566-7206
Paulo E SantoiBET, Instituto de Biologia Experimental e Tecnológica, Apartado 12, 2781-901, Oeiras, Portugal.
Marie-Eve ChagotIMoPA, CNRS, Université de Lorraine, Nancy, France.
Bruno CharpentierIMoPA, CNRS, Université de Lorraine, Nancy, France.ORCID http://orcid.org/0000-0003-2955-2987
Tiago M BandeirasiBET, Instituto de Biologia Experimental e Tecnológica, Apartado 12, 2781-901, Oeiras, Portugal.ORCID http://orcid.org/0000-0001-6089-6089
Xavier ManivalIMoPA, CNRS, Université de Lorraine, Nancy, France.ORCID http://orcid.org/0000-0002-7717-7096
Oscar Hernandez-AlbaLaboratoire de Spectrométrie de Masse BioOrganique, IPHC UMR 7178, Université de Strasbourg, CNRS, Strasbourg, France.
Sarah CianféraniLaboratoire de Spectrométrie de Masse BioOrganique, IPHC UMR 7178, Université de Strasbourg, CNRS, Strasbourg, France. sarah.cianferani@unistra.fr.ORCID http://orcid.org/0000-0003-4013-4129
Centre National de la Recherche Scientifique · FRInstituto de Biologia Experimental e Tecnológica · PT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Chemical cross-linking reactions (XL) are an important strategy for studying protein-protein interactions (PPIs), including low abundant sub-complexes, in structural biology. However, choosing XL reagents and conditions is laborious and mostly limited to analysis of protein assemblies that can be resolved using SDS-PAGE. To overcome these limitations, we develop here a denaturing mass photometry (dMP) method for fast, reliable and user-friendly optimization and monitoring of chemical XL reactions. The dMP is a robust 2-step protocol that ensures 95% of irreversible denaturation within only 5 min. We show that dMP provides accurate mass identification across a broad mass range (30 kDa-5 MDa) along with direct label-free relative quantification of all coexisting XL species (sub-complexes and aggregates). We compare dMP with SDS-PAGE and observe that, unlike the benchmark, dMP is time-efficient (3 min/triplicate), requires significantly less material (20-100×) and affords single molecule sensitivity. To illustrate its utility for routine structural biology applications, we show that dMP affords screening of 20 XL conditions in 1 h, accurately identifying and quantifying all coexisting species. Taken together, we anticipate that dMP will have an impact on ability to structurally characterize more PPIs and macromolecular assemblies, expected final complexes but also sub-complexes that form en route.

Indexed as

Cross-Linking ReagentsPhotometryProtein DenaturationElectrophoresis, Polyacrylamide GelHumansMass SpectrometryProtein Interaction MappingProteinsCross-Linking ReagentsProteins

Identifiers

PMID38664367
PMCPMC11045720
OpenAlexW4395467313

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.