Evidence map›Paper›PMID 30293428›Full record

ArticleJournal of proteome research2018

In-Search Assignment of Monoisotopic Peaks Improves the Identification of Cross-Linked Peptides.

Swantje Lenz, Sven H Giese, Lutz Fischer, Juri Rappsilber

Abstract read
In one paragraph

Article in Journal of proteome research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing 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

29 citing papers in PubMed.

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  15. MS Annika: A New Cross-Linking Search Engine.Journal of proteome research · 2021
    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

4 authors.

Swantje LenzBioanalytics, Institute of Biotechnology , Technische Universität Berlin , 13355 Berlin , Germany.ORCID 0000-0002-8839-5371
Sven H GieseBioanalytics, Institute of Biotechnology , Technische Universität Berlin , 13355 Berlin , Germany.ORCID 0000-0002-9886-2447
Lutz FischerWellcome Centre for Cell Biology , University of Edinburgh , Edinburgh EH9 3BF , United Kingdom.ORCID 0000-0003-4978-0864
Juri RappsilberBioanalytics, Institute of Biotechnology , Technische Universität Berlin , 13355 Berlin , Germany.ORCID 0000-0001-5999-1310

Funding

Wellcome Trust 103139Wellcome Trust 103139/Z/13/ZWellcome Trust 203149
6 · The paper itself

Abstract

Cross-linking/mass spectrometry has undergone a maturation process akin to standard proteomics by adapting key methods such as false discovery rate control and quantification. A poorly evaluated search setting in proteomics is the consideration of multiple (lighter) alternative values for the monoisotopic precursor mass to compensate for possible misassignments of the monoisotopic peak. Here, we show that monoisotopic peak assignment is a major weakness of current data handling approaches in cross-linking. Cross-linked peptides often have high precursor masses, which reduces the presence of the monoisotopic peak in the isotope envelope. Paired with generally low peak intensity, this generates a challenge that may not be completely solvable by precursor mass assignment routines. We therefore took an alternative route by '"in-search assignment of the monoisotopic peak" in the cross-link database search tool Xi (Xi-MPA), which considers multiple precursor masses during database search. We compare and evaluate the performance of established preprocessing workflows that partly correct the monoisotopic peak and Xi-MPA on three publicly available data sets. Xi-MPA always delivered the highest number of identifications with ∼2 to 4-fold increase of PSMs without compromising identification accuracy as determined by FDR estimation and comparison to crystallographic models.

Indexed as

AlgorithmsChaetomiumComplex MixturesCross-Linking ReagentsDatabases, ProteinDatasets as TopicHumansIsotopesPeptidesProteinsProteolysisSoftwareTandem Mass SpectrometryComplex MixturesCross-Linking ReagentsIsotopesPeptidesProteinsBS3cross-linkingdata processingmass spectrometrymonoisotopic masspeptidesproteomicsSDAsoftwarestructural proteomics

Identifiers

PMID30293428
PMCPMC6279313

What OpenQuestion holds

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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.