Evidence map›Paper›PMID 35242286›Full record

ReviewComputational and structural biotechnology journal2022

Considerations for constructing a protein sequence database for metaproteomics.

J Alfredo Blakeley-Ruiz, Manuel Kleiner

Abstract readReview
In one paragraph

Review in Computational and structural biotechnology journal, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers.

0numbers the graph read from it
0cells of the map it votes in
42citing 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

42 citing papers in PubMed.

  1. Review
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  8. Microbial Omics.Progress in molecular and subcellular biology · 2026
    Review
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  17. Review
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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

2 authors.

J Alfredo Blakeley-RuizCenter for Gastrointestinal Biology and Disease, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
Manuel KleinerDepartment of Plant and Microbial Biology, North Carolina State University, Raleigh, NC, USA.

Funding

GASTROENTEROLOGY RESEARCH TRAININGT32DK007737 · NIDDK · UNIV OF NORTH CAROLINA CHAPEL HILL · PI SHEHZAD Z. SHEIKH · 1996 to 2026
$7.8M
Metaproteomics to investigate intestinal microbiota-host and -diet interactionsR35GM138362 · NIGMS · NORTH CAROLINA STATE UNIVERSITY RALEIGH · PI KLEINER, MANUEL · 2020 to 2024
$1.9M
NIDDK NIH HHS T32 DK007737NIGMS NIH HHS R35 GM138362
6 · The paper itself

Abstract

Mass spectrometry-based metaproteomics has emerged as a prominent technique for interrogating the functions of specific organisms in microbial communities, in addition to total community function. Identifying proteins by mass spectrometry requires matching mass spectra of fragmented peptide ions to a database of protein sequences corresponding to the proteins in the sample. This sequence database determines which protein sequences can be identified from the measurement, and as such the taxonomic and functional information that can be inferred from a metaproteomics measurement. Thus, the construction of the protein sequence database directly impacts the outcome of any metaproteomics study. Several factors, such as source of sequence information and database curation, need to be considered during database construction to maximize accurate protein identifications traceable to the species of origin. In this review, we provide an overview of existing strategies for database construction and the relevant studies that have sought to test and validate these strategies. Based on this review of the literature and our experience we provide a decision tree and best practices for choosing and implementing database construction strategies.

Indexed as

MetagenomicsMetaproteomeMicrobial communityMicrobial ecologyMicrobiomeMicrobiotaMulti-omics

Identifiers

PMID35242286
PMCPMC8861567

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.