Evidence map›Paper›PMID 25182329›Full record

ArticlemBio2014

Genes contributing to Staphylococcus aureus fitness in abscess- and infection-related ecologies.

Michael D Valentino, Lucy Foulston, Ama Sadaka, Veronica N Kos, Regis A Villet, John Santa Maria, David W Lazinski, Andrew Camilli, Suzanne Walker, David C Hooper and 1 more

Open access · goldAbstract read
In one paragraph

Article in mBio, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 114 papers.

0numbers the graph read from it
0cells of the map it votes in
114citing papers in PubMed
7.7field-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

114 citing papers in PubMed, 153 citations in OpenAlex.

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54 more citing papers are in PubMed but not listed here.

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

11 authors at 4 institutions in 1 country.

Michael D Valentino
Lucy FoulstonDepartment of Molecular and Cellular Biology, Harvard University, Cambridge, Massachusetts, USA.
Ama Sadaka
Veronica N Kos
Regis A VilletDivision of Infectious Diseases and Medical Services, Massachusetts General Hospital, Boston, Massachusetts, USA.
John Santa MariaDepartment of Microbiology and Immunobiology, Harvard Medical School, Boston, Massachusetts, USA.
David W LazinskiDepartment of Molecular Biology and Microbiology, Tufts University School of Medicine, Boston, Massachusetts, USA.
Andrew CamilliDepartment of Molecular Biology and Microbiology, Tufts University School of Medicine, Boston, Massachusetts, USA.
Suzanne WalkerDepartment of Microbiology and Immunobiology, Harvard Medical School, Boston, Massachusetts, USA.
David C HooperDivision of Infectious Diseases and Medical Services, Massachusetts General Hospital, Boston, Massachusetts, USA.
Michael S Gilmoremichael_gilmore@meei.harvard.edu.
Harvard University · USMassachusetts Eye and Ear Infirmary · USMassachusetts General Hospital · USTufts University · US

Funding

Technical Mother Machine CoreP01AI083214 · NIAID · SCHEPENS EYE RESEARCH INSTITUTE · PI Michael S Gilmore · 2009 to 2026
$39.4M
Training Program in the Molecular Bases of Eye DiseasesT32EY007145 · NEI · SCHEPENS EYE RESEARCH INSTITUTE · PI Patricia Ann D'Amore, MEREDITH GREGORY-KSANDER · 1997 to 2026
$4.5M
Identification of infection-critical S. aureus traits by TnSeqR21AI107248 · NIAID · MASSACHUSETTS EYE AND EAR INFIRMARY · PI GILMORE, MICHAEL S · 2013 to 2014
$435k
NEI NIH HHS T32 EY007145NEI NIH HHS T32-EY007145NIAID NIH HHS AI083214NIAID NIH HHS AI107248NIAID NIH HHS P01 AI083214NIAID NIH HHS R21 AI107248
6 · The paper itself

Abstract

unlabelledStaphylococcus aureus is a leading cause of both community- and hospital-acquired infections that are increasingly antibiotic resistant. The emergence of S. aureus resistance to even last-line antibiotics heightens the need for the development of new drugs with novel targets. We generated a highly saturated transposon insertion mutant library in the genome of S. aureus and used Tn-seq analysis to probe the entire genome, with unprecedented resolution and sensitivity, for genes of importance in infection. We further identified genes contributing to fitness in various infected compartments (blood and ocular fluids) and compared them to genes required for growth in rich medium. This resulted in the identification of 426 genes that were important for S. aureus fitness during growth in infection models, including 71 genes that could be considered essential for survival specifically during infection. These findings highlight novel as well as previously known genes encoding virulence traits and metabolic pathways important for S. aureus proliferation at sites of infection, which may represent new therapeutic targets. IMPORTANCE: Staphylococcus aureus continues to be a leading cause of antibiotic-resistant community and nosocomial infection. With the bacterium's acquisition of resistance to methicillin and, more recently, vancomycin, the need for the development of new drugs with novel targets is urgent. Applying a highly saturated Tn-seq mutant library to analyze fitness and growth requirements in a murine abscess and in various infection-relevant fluids, we identified S. aureus traits that enable it to survive and proliferate during infection. This identifies potential new targeting opportunities for the development of novel therapeutics.

Indexed as

Genome, BacterialAbscessAnimalsAnti-Bacterial AgentsBacterial ProteinsComputational BiologyDNA Transposable ElementsDrug Resistance, BacterialGene LibraryMaleMiceRNA, AntisenseSequence Analysis, DNAStaphylococcal InfectionsStaphylococcus aureusVirulence FactorsAnti-Bacterial AgentsBacterial ProteinsDNA Transposable ElementsRNA, AntisenseVirulence Factors

Identifiers

PMID25182329
PMCPMC4173792
OpenAlexW2135102440

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.