Evidence map›Paper›PMID 39482464›Full record

ArticleNature methods2024

Proteome-scale recombinant standards and a robust high-speed search engine to advance cross-linking MS-based interactomics.

Milan Avila Clasen, Max Ruwolt, Cong Wang, Julia Ruta, Boris Bogdanow, Louise U Kurt, Zehong Zhang, Shuai Wang, Fabio C Gozzo, Tao Chen and 3 more

Abstract read
In one paragraph

Article in Nature methods, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing 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

26 citing papers in PubMed.

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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

13 authors.

Milan Avila Clasen *Carlos Chagas Institute, Fiocruz Paraná, Curitiba, Brazil.
Max Ruwolt *Department of Structural Biology, Leibniz-Forschungsinstitut für Molekulare Pharmakologie (FMP), Berlin, Germany.ORCID http://orcid.org/0009-0000-7220-406X
Cong WangDepartment of Structural Biology, Leibniz-Forschungsinstitut für Molekulare Pharmakologie (FMP), Berlin, Germany.
Julia RutaDepartment of Structural Biology, Leibniz-Forschungsinstitut für Molekulare Pharmakologie (FMP), Berlin, Germany.ORCID http://orcid.org/0009-0007-0524-6885
Boris BogdanowDepartment of Structural Biology, Leibniz-Forschungsinstitut für Molekulare Pharmakologie (FMP), Berlin, Germany.ORCID http://orcid.org/0000-0002-9634-7353
Louise U KurtCarlos Chagas Institute, Fiocruz Paraná, Curitiba, Brazil.
Zehong ZhangDepartment of Structural Biology, Leibniz-Forschungsinstitut für Molekulare Pharmakologie (FMP), Berlin, Germany.ORCID http://orcid.org/0000-0003-1309-4395
Shuai WangAbsea Biotechnology Ltd, ZGC Life Science Park, Beijing, China.
Fabio C GozzoDepartment of Chemistry, Unicamp, São Paulo, Brazil.
Tao ChenAbsea Biotechnology Ltd, ZGC Life Science Park, Beijing, China.
Paulo C CarvalhoCarlos Chagas Institute, Fiocruz Paraná, Curitiba, Brazil. paulo@pcarvalho.com.ORCID http://orcid.org/0000-0001-6530-3350
Diogo Borges LimaDepartment of Structural Biology, Leibniz-Forschungsinstitut für Molekulare Pharmakologie (FMP), Berlin, Germany. diogobor@gmail.com.ORCID http://orcid.org/0000-0001-6056-0825
Fan LiuDepartment of Structural Biology, Leibniz-Forschungsinstitut für Molekulare Pharmakologie (FMP), Berlin, Germany. fliu@fmp-berlin.de.ORCID http://orcid.org/0000-0002-2358-549X

Funding

Deutsche Forschungsgemeinschaft (German Research Foundation) DFG Project LI 3260/6-1Leibniz-Gemeinschaft (Leibniz Association) Leibniz-Wettbewerb P70/2018
6 · The paper itself

Abstract

Advancing data analysis tools for proteome-wide cross-linking mass spectrometry (XL-MS) requires ground-truth standards that mimic biological complexity. Here we develop well-controlled XL-MS standards comprising hundreds of recombinant proteins that are systematically mixed for cross-linking. We use one standard dataset to guide the development of Scout, a search engine for XL-MS with MS-cleavable cross-linkers. Using other, independent standard datasets and published datasets, we benchmark the performance of Scout and existing XL-MS software. We find that Scout offers an excellent combination of speed, sensitivity and false discovery rate control. The results illustrate how our large recombinant standard can support the development of XL-MS analysis tools and evaluation of XL-MS results.

Indexed as

Mass SpectrometryProteomeProteomicsRecombinant ProteinsSearch EngineCross-Linking ReagentsHumansSoftwareCross-Linking ReagentsProteomeRecombinant Proteins

Identifiers

PMID39482464
PMCPMC11621016

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.