Evidence map›Paper›PMID 31378069›Full record

ArticleJournal of proteome research2019

Improved Protein Inference from Multiple Protease Bottom-Up Mass Spectrometry Data.

Rachel M Miller, Robert J Millikin, Connor V Hoffmann, Stefan K Solntsev, Gloria M Sheynkman, Michael R Shortreed, Lloyd M Smith

Abstract read
In one paragraph

Article in Journal of proteome research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing 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

30 citing papers in PubMed.

  1. Article
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  5. Ultradeep O-GlcNAc proteomics reveals widespread O-GlcNAcylation on tyrosine residues of proteins.Proceedings of the National Academy of Sciences of the United States of America · 2024
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  7. Review
  8. Review
  9. Review
  10. Article
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  12. Article
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  14. Review
  15. Enhanced Proteomic Data Analysis with MetaMorpheus.Methods in molecular biology (Clifton, N.J.) · 2023
    Article
  16. Article
  17. DecipheringMolecular omics · 2022
    Article
  18. Article
  19. Article
  20. 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

7 authors.

Rachel M MillerDepartment of Chemistry , University of Wisconsin , 1101 University Avenue , Madison , Wisconsin 53706 , United States.ORCID 0000-0003-1461-6386
Robert J MillikinDepartment of Chemistry , University of Wisconsin , 1101 University Avenue , Madison , Wisconsin 53706 , United States.ORCID 0000-0001-7440-3695
Connor V HoffmannDepartment of Chemistry , University of Wisconsin , 1101 University Avenue , Madison , Wisconsin 53706 , United States.
Stefan K SolntsevDepartment of Chemistry , University of Wisconsin , 1101 University Avenue , Madison , Wisconsin 53706 , United States.ORCID 0000-0002-1061-1476
Gloria M SheynkmanDepartment of Chemistry , University of Wisconsin , 1101 University Avenue , Madison , Wisconsin 53706 , United States.
Michael R ShortreedDepartment of Chemistry , University of Wisconsin , 1101 University Avenue , Madison , Wisconsin 53706 , United States.
Lloyd M SmithDepartment of Chemistry , University of Wisconsin , 1101 University Avenue , Madison , Wisconsin 53706 , United States.

Funding

Institutional Training in the Genomic SciencesT32HG002760 · NHGRI · UNIVERSITY OF WISCONSIN-MADISON · PI Qiongshi Lu · 2003 to 2026
$17.7M
WATER DISTRIB:PHYSICAL PROPERT:PIZZA &LMPS MOZZARELLA CHEESES:EARLY STAGE MATURP41RR002301 · NCRR · UNIVERSITY OF WISCONSIN-MADISON · PI MARKLEY, JOHN LUTE · 1985 to 2011
$13.0M
Chemistry-Biology Interface Training ProgramT32GM008505 · NIGMS · UNIVERSITY OF WISCONSIN-MADISON · PI BLACKWELL, HELEN E. · 1993 to 2023
$9.8M
Revealing Proteoforms: The Primary Effectors of Biological FunctionR35GM126914 · NIGMS · UNIVERSITY OF WISCONSIN-MADISON · PI Lloyd M Smith · 2018 to 2026
$6.2M
NCRR NIH HHS P41 RR002301NHGRI NIH HHS T32 HG002760NIGMS NIH HHS R35 GM126914NIGMS NIH HHS T32 GM008505
6 · The paper itself

Abstract

Peptides detected by tandem mass spectrometry (MS/MS) in bottom-up proteomics serve as proxies for the proteins expressed in the sample. Protein inference is a process routinely applied to these peptides to generate a plausible list of candidate protein identifications. The use of multiple proteases for parallel protein digestions expands sequence coverage, provides additional peptide identifications, and increases the probability of identifying peptides that are unique to a single protein, which are all valuable for protein inference. We have developed and implemented a multi-protease protein inference algorithm in MetaMorpheus, a bottom-up search software program, which incorporates the calculation of protease-specific

Indexed as

ProteomicsSoftwareAlgorithmsAmino Acid SequenceDatabases, ProteinPeptide HydrolasesPeptidesProteinsTandem Mass SpectrometryPeptide HydrolasesPeptidesProteinsbottom-updata-dependent acquisitionmass spectrometrymultiple proteasesprotein inference

Identifiers

PMID31378069
PMCPMC6733628

What OpenQuestion holds

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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.