Evidence map›Paper›PMID 19072180›Full record

ReviewFuture microbiology2008

Use of high-throughput mass spectrometry to elucidate host-pathogen interactions in Salmonella.

Karin D Rodland, Joshua N Adkins, Charles Ansong, Saiful Chowdhury, Nathan P Manes, Liang Shi, Hyunjin Yoon, Richard D Smith, Fred Heffron

Abstract readReview
In one paragraph

Review in Future microbiology, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
3.7field-weighted citation impact, top 8% 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

1 citing paper in PubMed, 9 citations in OpenAlex.

  1. 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

9 authors at 2 institutions in 1 country.

Karin D RodlandPacific Northwest National Laboratory, Richland, WA 99354, USA. Karin.Rodland@pnl.gov
Joshua N Adkins
Charles Ansong
Saiful Chowdhury
Nathan P Manes
Liang Shi
Hyunjin Yoon
Richard D Smith
Fred Heffron
Pacific Northwest National Laboratory · USOregon Health & Science University · US

Funding

WORKSHOP AND TRAINING ACTIVITIESP41RR018522 · NCRR · BATTELLE PACIFIC NORTHWEST LABORATORIES · PI SMITH, RICHARD D · 2003 to 2011
$25.1M
NCRR NIH HHS P41 RR018522NCRR NIH HHS RR18522NIAID NIH HHS Y1-AI-4894-4801
6 · The paper itself

Abstract

Capabilities in mass spectrometry are evolving rapidly, with recent improvements in sensitivity, data analysis and, most important from the standpoint of this review, much higher throughput, allowing analysis of many samples in a single day. This short review describes how these improvements in mass spectrometry can be used to dissect host-pathogen interactions using Salmonella as a model system. This approach has enabled direct identification of the majority of annotated Salmonella proteins, quantitation of expression changes under various in vitro growth conditions and new insights into virulence and expression of Salmonella proteins within host cells. One of the most significant findings is that a relatively high percentage of all the annotated genes (>20%) in Salmonella are regulated post-transcriptionally. In addition, new and unexpected interactions have been identified for several Salmonella virulence regulators that involve protein-protein interactions, suggesting additional functions of these regulators in coordinating virulence expression. Overall high-throughput mass spectrometry provides a new view of host-pathogen interactions, emphasizing the protein products and defining how protein interactions determine the outcome of infection.

Indexed as

Host-Pathogen InteractionsMass SpectrometryBacterial ProteinsHumansProteomeSalmonellaBacterial ProteinsProteome

Identifiers

PMID19072180
PMCPMC2734448
OpenAlexW2144815850

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.