Evidence map›Paper›PMID 29197673›Full record

ReviewCurrent opinion in microbiology2018

After the deluge: mining Staphylococcus aureus genomic data for clinical associations and host-pathogen interactions.

Richard Copin, Bo Shopsin, Victor J Torres

Abstract readReview
In one paragraph

Review in Current opinion in microbiology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

  1. Article
  2. Article
  3. Infection and immunity · 2024
    Article
  4. The Plasmidomic Landscape of Clinical Methicillin-ResistantAntibiotics (Basel, Switzerland) · 2023
    Article
  5. Article
  6. Article
  7. Inhibitory Effect ofFrontiers in pharmacology · 2022
    Article
  8. Review
  9. Genomic analyses ofMicrobial genomics · 2020
    Article
  10. Article
  11. Article
  12. Review
  13. Article
  14. Article
  15. Genome Plasticity ofInfection and immunity · 2018
    Article
  16. 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

3 authors.

Richard CopinDepartment of Medicine, New York University School of Medicine, 430 East 29th Street, Alexandria West, New York, NY 10016, United States. Electronic address: Richard.Copin@nyumc.org.
Bo ShopsinDepartment of Medicine, New York University School of Medicine, 430 East 29th Street, Alexandria West, New York, NY 10016, United States; Department of Microbiology, New York University School of Medicine, 430 East 29th Street, Alexandria West, New York, NY 10016, United States. Electronic address: Bo.Shopsin@nyumc.org.
Victor J TorresDepartment of Microbiology, New York University School of Medicine, 430 East 29th Street, Alexandria West, New York, NY 10016, United States. Electronic address: Victor.Torres@nyumc.org.

Funding

Mechanistic Studies Of The Staphylococcus aureus LukAB CytotoxinR01AI099394 · NIAID · ST. JUDE CHILDREN'S RESEARCH HOSPITAL · PI Victor J. Torres · 2013 to 2026
$6.1M
Contribution of LukED to Staphylococcus aureus pathobiologyR01AI105129 · NIAID · ST. JUDE CHILDREN'S RESEARCH HOSPITAL · PI TORRES, VICTOR J. · 2014 to 2023
$4.9M
Role of precipitous virulence in invasiveness of community-acquired methicillin-rR01AI103268 · NIAID · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI SHOPSIN, BO, TORRES, VICTOR J. · 2013 to 2017
$2.1M
NIAID NIH HHS HHSN272201400019CNIAID NIH HHS R01 AI099394NIAID NIH HHS R01 AI103268NIAID NIH HHS R01 AI105129
6 · The paper itself

Abstract

The genome of Staphylococcus aureus has rapidly become one the most frequently sequenced among bacteria, with more than 40000 genome sequences uploaded to public databases. Computational resources required for analysis and quality assessment have lagged behind accumulation of sequence data. Improved analytic pipelines, in combination with the development of customized S. aureus reference databases, can be used to inform S. aureus biology and potentially predict clinical outcome. Here, we review the currently available data about S. aureus genome in public databases, and discuss their potential utility for understanding S. aureus evolution. Also discussed are ways to overcome challenges to the application of whole-genome sequencing data for prevention and management of S. aureus disease.

Indexed as

Genome, BacterialComputational BiologyDatabases, GeneticEvolution, MolecularGenomicsHost-Pathogen InteractionsHumansInterspersed Repetitive SequencesMutationStaphylococcal InfectionsStaphylococcus aureusVirulence FactorsWhole Genome SequencingVirulence Factors

Identifiers

PMID29197673
PMCPMC5862737

What OpenQuestion holds

Textmetadata
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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.