Evidence map›Paper›PMID 25136337›Full record

ArticleFrontiers in microbiology2014

Comparative proteome analysis reveals conserved and specific adaptation patterns of Staphylococcus aureus after internalization by different types of human non-professional phagocytic host cells.

Kristin Surmann, Stephan Michalik, Petra Hildebrandt, Philipp Gierok, Maren Depke, Lars Brinkmann, Jörg Bernhardt, Manuela G Salazar, Zhi Sun, David Shteynberg and 6 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in microbiology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed
4.3field-weighted citation impact, top 5% 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

26 citing papers in PubMed, 41 citations in OpenAlex.

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  14. Article
  15. Isolation ofFrontiers in cellular and infection microbiology · 2017
    Article
  16. Article
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  18. Article
  19. Article
  20. 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

16 authors at 4 institutions in 3 countries.

Kristin SurmannInterfaculty Institute for Genetics and Functional Genomics, University Medicine Greifswald Greifswald, Germany.
Stephan MichalikZIK-FunGene Junior Research Group Applied Proteomics, Interfaculty Institute for Genetics and Functional Genomics, University Medicine Greifswald Greifswald, Germany.
Petra HildebrandtZIK-FunGene Junior Research Group Applied Proteomics, Interfaculty Institute for Genetics and Functional Genomics, University Medicine Greifswald Greifswald, Germany.
Philipp GierokInstitute of Biochemistry, Ernst-Moritz-Arndt-University Greifswald Greifswald, Germany.
Maren DepkeZIK-FunGene Junior Research Group Applied Proteomics, Interfaculty Institute for Genetics and Functional Genomics, University Medicine Greifswald Greifswald, Germany.
Lars BrinkmannInterfaculty Institute for Genetics and Functional Genomics, University Medicine Greifswald Greifswald, Germany.
Jörg BernhardtInstitute for Microbiology, Ernst-Moritz-Arndt-University Greifswald Greifswald, Germany.
Manuela G SalazarInterfaculty Institute for Genetics and Functional Genomics, University Medicine Greifswald Greifswald, Germany.
Zhi SunInstitute for Systems Biology Seattle, WA USA.
David ShteynbergInstitute for Systems Biology Seattle, WA USA.
Ulrike KusebauchInstitute for Systems Biology Seattle, WA USA.
Robert L MoritzInstitute for Systems Biology Seattle, WA USA.
Bernd WollscheidInstitute of Molecular Systems Biology, ETH Zurich Zurich, Switzerland.
Michael LalkInstitute of Biochemistry, Ernst-Moritz-Arndt-University Greifswald Greifswald, Germany.
Uwe VölkerInterfaculty Institute for Genetics and Functional Genomics, University Medicine Greifswald Greifswald, Germany.
Frank SchmidtZIK-FunGene Junior Research Group Applied Proteomics, Interfaculty Institute for Genetics and Functional Genomics, University Medicine Greifswald Greifswald, Germany.
Universitätsmedizin Greifswald · DEInstitute for Systems Biology · USUniversität Greifswald · DEETH Zurich · CH

Funding

Quantitative Systems BiologyP50GM076547 · NIGMS · INSTITUTE FOR SYSTEMS BIOLOGY · PI AITCHISON, JOHN D. · 2006 to 2016
$30.6M
Shortening the development cycle time of Trans Proteomic Pipeline tools with high performance computingR01GM087221 · NIGMS · INSTITUTE FOR SYSTEMS BIOLOGY · PI DEUTSCH, ERIC, MORITZ, ROBERT L · 2010 to 2021
$6.0M
Complete Human Peptide- and MRM-AtlasRC2HG005805 · NHGRI · INSTITUTE FOR SYSTEMS BIOLOGY · PI HOOD, LEROY E, MORITZ, ROBERT L · 2009 to 2010
$4.6M
FAIMS-Selected Reaction Monitoring to Quantitative Protein Networks in DiseaseS10RR027584 · NCRR · INSTITUTE FOR SYSTEMS BIOLOGY · PI MORITZ, ROBERT L · 2011 to 2011
$576k
NCRR NIH HHS S10 RR027584NHGRI NIH HHS RC2 HG005805NIGMS NIH HHS P50 GM076547NIGMS NIH HHS R01 GM087221
6 · The paper itself

Abstract

Staphylococcus aureus is a human pathogen that can cause a wide range of diseases. Although formerly regarded as extracellular pathogen, it has been shown that S. aureus can also be internalized by host cells and persist within these cells. In the present study, we comparatively analyzed survival and physiological adaptation of S. aureus HG001 after internalization by two human lung epithelial cell lines (S9 and A549), and human embryonic kidney cells (HEK 293). Combining enrichment of bacteria from host-pathogen assays by cell sorting and quantitation of the pathogen's proteome by mass spectrometry we characterized S. aureus adaptation during the initial phase between 2.5 h and 6.5 h post-infection. Starting with about 2 × 10(6) bacteria, roughly 1450 S. aureus proteins, including virulence factors and metabolic enzymes were identified by spectral comparison and classical database searches. Most of the bacterial adaptation reactions, such as decreased levels of ribosomal proteins and metabolic enzymes or increased amounts of proteins involved in arginine and lysine biosynthesis, enzymes coding for terminal oxidases and stress responsive proteins or activation of the sigma factor SigB were observed after internalization into any of the three cell lines studied. However, differences were noted in central carbon metabolism including regulation of fermentation and threonine degradation. Since these differences coincided with different intracellular growth behavior, complementary profiling of the metabolome of the different non-infected host cell types was performed. This revealed similar levels of intracellular glucose but host cell specific differences in the amounts of amino acids such as glycine, threonine or glutamate. With this comparative study we provide an impression of the common and specific features of the adaptation of S. aureus HG001 to specific host cell environments as a starting point for follow-up studies with different strain isolates and regulatory mutants.

Indexed as

host-pathogen interactionhuman cell lineslabel-free quantitationproteomicsStaphylococcus aureus

Identifiers

PMID25136337
PMCPMC4117987
OpenAlexW2034910531

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.