Evidence map›Paper›PMID 27396978›Full record

ArticleJournal of proteome research2016

An Alignment-Free "Metapeptide" Strategy for Metaproteomic Characterization of Microbiome Samples Using Shotgun Metagenomic Sequencing.

Damon H May, Emma Timmins-Schiffman, Molly P Mikan, H Rodger Harvey, Elhanan Borenstein, Brook L Nunn, William S Noble

Open access · greenAbstract read
In one paragraph

Article in Journal of proteome research, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
6.1field-weighted citation impact, top 3% 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

24 citing papers in PubMed, 52 citations in OpenAlex.

  1. Article
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  6. Considerations for constructing a protein sequence database for metaproteomics.Computational and structural biotechnology journal · 2022
    Review
  7. Article
  8. Article
  9. Review
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  11. Assessing Protein Sequence Database Suitability UsingMolecular & cellular proteomics : MCP · 2020
    Article
  12. Review
  13. Article
  14. Review
  15. Article
  16. Article
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  20. Organic matter processing by microbial communities throughout the Atlantic water column as revealed by metaproteomics.Proceedings of the National Academy of Sciences of the United States of America · 2018
    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 at 2 institutions in 1 country.

Damon H MayDepartment of Genome Sciences and ‡Department of Computer Science and Engineering, University of Washington , Seattle, Washington 98195-5065, United States.
Emma Timmins-SchiffmanDepartment of Genome Sciences and ‡Department of Computer Science and Engineering, University of Washington , Seattle, Washington 98195-5065, United States.
Molly P MikanDepartment of Ocean, Earth & Atmospheric Sciences, Old Dominion University , Norfolk, Virginia 23529, United States.
H Rodger HarveyDepartment of Ocean, Earth & Atmospheric Sciences, Old Dominion University , Norfolk, Virginia 23529, United States.
Elhanan BorensteinDepartment of Genome Sciences and ‡Department of Computer Science and Engineering, University of Washington , Seattle, Washington 98195-5065, United States.
Brook L NunnDepartment of Genome Sciences and ‡Department of Computer Science and Engineering, University of Washington , Seattle, Washington 98195-5065, United States.
William S NobleDepartment of Genome Sciences and ‡Department of Computer Science and Engineering, University of Washington , Seattle, Washington 98195-5065, United States.
University of Washington · USOld Dominion University · US

Funding

TrainingP41GM103533 · NIGMS · UNIVERSITY OF WASHINGTON · PI MACCOSS, MICHAEL · 2012 to 2021
$20.7M
NIGMS NIH HHS P41 GM103533
6 · The paper itself

Abstract

In principle, tandem mass spectrometry can be used to detect and quantify the peptides present in a microbiome sample, enabling functional and taxonomic insight into microbiome metabolic activity. However, the phylogenetic diversity constituting a particular microbiome is often unknown, and many of the organisms present may not have assembled genomes. In ocean microbiome samples, with particularly diverse and uncultured bacterial communities, it is difficult to construct protein databases that contain the bulk of the peptides in the sample without losing detection sensitivity due to the overwhelming number of candidate peptides for each tandem mass spectrum. We describe a method for deriving "metapeptides" (short amino acid sequences that may be represented in multiple organisms) from shotgun metagenomic sequencing of microbiome samples. In two ocean microbiome samples, we constructed site-specific metapeptide databases to detect more than one and a half times as many peptides as by searching against predicted genes from an assembled metagenome and roughly three times as many peptides as by searching against the NCBI environmental proteome database. The increased peptide yield has the potential to enrich the taxonomic and functional characterization of sample metaproteomes.

Indexed as

MicrobiotaAquatic OrganismsBiodiversityDatabases, ProteinMetagenomicsPeptidesProteomicsSequence Analysis, DNASpecimen HandlingTandem Mass SpectrometryPeptidesmass spectrometrymetagenomicsmetaproteomicsmicrobial communitiesmicrobial ecology

Identifiers

PMID27396978
PMCPMC5116374
OpenAlexW2474302342

What OpenQuestion holds

Textmetadata
LicenceTDM
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.