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Commensal microbiota modulate gene expression in the skin

Overview of attention for article published in Microbiome, January 2018
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (91st percentile)
  • Average Attention Score compared to outputs of the same age and source

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1 blog
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28 X users
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2 Facebook pages

Citations

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143 Dimensions

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247 Mendeley
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Title
Commensal microbiota modulate gene expression in the skin
Published in
Microbiome, January 2018
DOI 10.1186/s40168-018-0404-9
Pubmed ID
Authors

Jacquelyn S. Meisel, Georgia Sfyroera, Casey Bartow-McKenney, Ciara Gimblet, Julia Bugayev, Joseph Horwinski, Brian Kim, Jonathan R. Brestoff, Amanda S. Tyldsley, Qi Zheng, Brendan P. Hodkinson, David Artis, Elizabeth A. Grice

Abstract

The skin harbors complex communities of resident microorganisms, yet little is known of their physiological roles and the molecular mechanisms that mediate cutaneous host-microbe interactions. Here, we profiled skin transcriptomes of mice reared in the presence and absence of microbiota to elucidate the range of pathways and functions modulated in the skin by the microbiota. A total of 2820 genes were differentially regulated in response to microbial colonization and were enriched in gene ontology (GO) terms related to the host-immune response and epidermal differentiation. Innate immune response genes and genes involved in cytokine activity were generally upregulated in response to microbiota and included genes encoding toll-like receptors, antimicrobial peptides, the complement cascade, and genes involved in IL-1 family cytokine signaling and homing of T cells. Our results also reveal a role for the microbiota in modulating epidermal differentiation and development, with differential expression of genes in the epidermal differentiation complex (EDC). Genes with correlated co-expression patterns were enriched in binding sites for the transcription factors Klf4, AP-1, and SP-1, all implicated as regulators of epidermal differentiation. Finally, we identified transcriptional signatures of microbial regulation common to both the skin and the gastrointestinal tract. With this foundational approach, we establish a critical resource for understanding the genome-wide implications of microbially mediated gene expression in the skin and emphasize prospective ways in which the microbiome contributes to skin health and disease.

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X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 247 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 247 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 50 20%
Researcher 43 17%
Student > Bachelor 24 10%
Student > Master 18 7%
Other 16 6%
Other 35 14%
Unknown 61 25%
Readers by discipline Count As %
Immunology and Microbiology 42 17%
Agricultural and Biological Sciences 39 16%
Biochemistry, Genetics and Molecular Biology 38 15%
Medicine and Dentistry 24 10%
Pharmacology, Toxicology and Pharmaceutical Science 7 3%
Other 27 11%
Unknown 70 28%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 24. 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 11 August 2019.
All research outputs
#1,581,816
of 25,591,967 outputs
Outputs from Microbiome
#559
of 1,782 outputs
Outputs of similar age
#36,413
of 450,546 outputs
Outputs of similar age from Microbiome
#31
of 52 outputs
Altmetric has tracked 25,591,967 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,782 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 37.9. This one has gotten more attention than average, scoring higher than 68% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 450,546 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 91% of its contemporaries.
We're also able to compare this research output to 52 others from the same source and published within six weeks on either side of this one. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.