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Comparison of Sepsis-Induced Transcriptomic Changes in a Murine Model to Clinical Blood Samples Identifies Common Response Patterns

Overview of attention for article published in Frontiers in Microbiology, January 2012
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Title
Comparison of Sepsis-Induced Transcriptomic Changes in a Murine Model to Clinical Blood Samples Identifies Common Response Patterns
Published in
Frontiers in Microbiology, January 2012
DOI 10.3389/fmicb.2012.00284
Pubmed ID
Authors

Sandro Lambeck, Martina Weber, Falk A. Gonnert, Ralf Mrowka, Michael Bauer

Abstract

Experimental models, mimicking physiology, and molecular dynamics of diseases in human, harbor the possibility to study the effect of interventions and transfer results from bench to bedside. Recent advances in high-throughput technologies, standardized protocols, and integration of knowledge from databases yielded rising consistency and usability of results for inter-species comparisons. Here, we explored similarities and dissimilarities in gene expression from blood samples of a murine sepsis model (peritoneal contamination and infection, PCI) and patients from the pediatric intensive care unit (PICU) measured by microarrays. Applying a consistent pre-processing and analysis workflow, differentially expressed genes (DEG) from PCI and PICU data significantly overlapped. A major fraction of DEG was commonly expressed and mapped to adaptive and innate immune response related pathways, whereas the minor fraction, including the chemokine (C-C motif) ligand 4, exhibited constant inter-species disparities. Reproducibility of transcriptomic observations was validated experimentally in PCI. These data underline, that inter-species comparison can obtain commonly expressed transcriptomic features despite missing homologs and different protocols. Our findings point toward a high suitability of an animal sepsis model and further experimental efforts in order to transfer results from animal experiments to the bedside.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 30 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 2 7%
Unknown 28 93%

Demographic breakdown

Readers by professional status Count As %
Researcher 7 23%
Student > Doctoral Student 4 13%
Student > Master 4 13%
Student > Bachelor 3 10%
Student > Postgraduate 3 10%
Other 5 17%
Unknown 4 13%
Readers by discipline Count As %
Agricultural and Biological Sciences 11 37%
Medicine and Dentistry 6 20%
Biochemistry, Genetics and Molecular Biology 3 10%
Engineering 2 7%
Computer Science 1 3%
Other 2 7%
Unknown 5 17%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 14 September 2012.
All research outputs
#20,166,700
of 22,678,224 outputs
Outputs from Frontiers in Microbiology
#22,076
of 24,476 outputs
Outputs of similar age
#221,187
of 244,101 outputs
Outputs of similar age from Frontiers in Microbiology
#228
of 317 outputs
Altmetric has tracked 22,678,224 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
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We're also able to compare this research output to 317 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.