Evidence map›Paper›PMID 22522805›Full record

ArticleProteomics2012

Deep metaproteomic analysis of human salivary supernatant.

Pratik Jagtap, Thomas McGowan, Sricharan Bandhakavi, Zheng Jin Tu, Sean Seymour, Timothy J Griffin, Joel D Rudney

Abstract read
In one paragraph

Article in Proteomics, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed, 1 pooled it
8.0field-weighted citation impact, top 2% 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

36 citing papers in PubMed, 1 synthesis or guideline pooled it, 86 citations in OpenAlex.

  1. Pooled it
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  20. Salivary biomarkers and proteomics: future diagnostic and clinical utilities.Acta otorhinolaryngologica Italica : organo ufficiale della Societa italiana di otorinolaringologia e chirurgia cervico-facciale · 2017
    Review
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 3 institutions in 1 country.

Pratik JagtapMinnesota Supercomputing Institute, University of Minnesota, Minneapolis, MN, USA.
Thomas McGowan
Sricharan Bandhakavi
Zheng Jin Tu
Sean Seymour
Timothy J Griffin
Joel D Rudney
University of Minnesota · USBio-Rad (United States) · USSciClone Pharmaceuticals (United States) · US

Funding

Characterizing Oral Cancer Progression via Saliva ProteomicsR01DE017734 · NIDCR · UNIVERSITY OF MINNESOTA · PI GRIFFIN, TIMOTHY J. · 2007 to 2010
$1.4M
NIDCR NIH HHS 1R01DE017734NIDCR NIH HHS R01 DE017734
6 · The paper itself

Abstract

The human salivary proteome is extremely complex, including proteins from salivary glands, serum, and oral microbes. Much has been learned about the host component, but little is known about the microbial component. Here we report a metaproteomic analysis of salivary supernatant pooled from six healthy subjects. For deep interrogation of the salivary proteome, we combined protein dynamic range compression (DRC), multidimensional peptide fractionation, and high-mass accuracy MS/MS with a novel two-step peptide identification method using a database of human proteins plus those translated from oral microbe genomes. Peptides were identified from 124 microbial species as well as uncultured phylotypes such as TM7. Streptococcus, Rothia, Actinomyces, Prevotella, Neisseria, Veilonella, Lactobacillus, Selenomonas, Pseudomonas, Staphylococcus, and Campylobacter were abundant among the 65 genera from 12 phyla represented. Taxonomic diversity in our study was broadly consistent with metagenomic studies of saliva. Proteins mapped to 20 KEGG pathways, with carbohydrate metabolism, amino acid metabolism, energy metabolism, translation, membrane transport, and signal transduction most represented. The communities sampled appear to be actively engaged in glycolysis and protein synthesis. This first deep metaproteomic catalog from human salivary supernatant provides a baseline for future studies of shifts in microbial diversity and protein activities potentially associated with oral disease.

Indexed as

Bacterial ProteinsDatabases, ProteinHumansMetabolic Networks and PathwaysMetagenomicsPeptidesPhylogenyProteomeProteomicsSalivaBacterial ProteinsPeptidesProteome

Identifiers

PMID22522805
PMCPMC3517020
OpenAlexW2149039878

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.