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Site-specific programming of the host epithelial transcriptome by the gut microbiota

Overview of attention for article published in Genome Biology, March 2015
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  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (78th percentile)

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12 X users
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Citations

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152 Dimensions

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233 Mendeley
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2 CiteULike
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Title
Site-specific programming of the host epithelial transcriptome by the gut microbiota
Published in
Genome Biology, March 2015
DOI 10.1186/s13059-015-0614-4
Pubmed ID
Authors

Felix Sommer, Intawat Nookaew, Nina Sommer, Per Fogelstrand, Fredrik Bäckhed

Abstract

The intestinal epithelium separates us from the microbiota but also interacts with it and thus affects host immune status and physiology. Previous studies investigated microbiota-induced responses in the gut using intact tissues or unfractionated epithelial cells, thereby limiting conclusions about regional differences in the epithelium. Here, we sought to investigate microbiota-induced transcriptional responses in specific fractions of intestinal epithelial cells. To this end, we used microarray analysis of laser capture microdissection (LCM)-harvested ileal and colonic tip and crypt epithelial fractions from germ-free and conventionally raised mice and from mice during the time course of colonization. We found that about 10% of the host's transcriptome was microbially regulated, mainly including genes annotated with functions in immunity, cell proliferation, and metabolism. The microbial impact on host gene expression was highly site specific, as epithelial responses to the microbiota differed between cell fractions. Specific transcriptional regulators were enriched in each fraction. In general, the gut microbiota induced a more rapid response in the colon than in the ileum. Our study indicates that the microbiota engage different regulatory networks to alter host gene expression in a particular niche. Understanding host microbial interactions on a cellular level may facilitate signaling pathways that contribute to health and disease and thus provide new therapeutic strategies.

X Demographics

X Demographics

The data shown below were collected from the profiles of 12 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 233 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 2 <1%
France 2 <1%
United States 2 <1%
United Kingdom 1 <1%
Taiwan 1 <1%
Canada 1 <1%
Unknown 224 96%

Demographic breakdown

Readers by professional status Count As %
Researcher 68 29%
Student > Ph. D. Student 39 17%
Student > Master 25 11%
Student > Postgraduate 12 5%
Student > Doctoral Student 12 5%
Other 40 17%
Unknown 37 16%
Readers by discipline Count As %
Agricultural and Biological Sciences 84 36%
Biochemistry, Genetics and Molecular Biology 38 16%
Immunology and Microbiology 28 12%
Medicine and Dentistry 13 6%
Computer Science 4 2%
Other 16 7%
Unknown 50 21%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 02 June 2015.
All research outputs
#4,836,164
of 25,374,917 outputs
Outputs from Genome Biology
#2,799
of 4,467 outputs
Outputs of similar age
#56,800
of 278,369 outputs
Outputs of similar age from Genome Biology
#56
of 66 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,467 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. This one is in the 36th percentile – i.e., 36% of its peers scored the same or lower than it.
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 278,369 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 78% of its contemporaries.
We're also able to compare this research output to 66 others from the same source and published within six weeks on either side of this one. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.