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Differential DNA methylation patterns of homeobox genes in proximal and distal colon epithelial cells

Overview of attention for article published in Physiological Genomics, January 2016
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Title
Differential DNA methylation patterns of homeobox genes in proximal and distal colon epithelial cells
Published in
Physiological Genomics, January 2016
DOI 10.1152/physiolgenomics.00046.2015
Pubmed ID
Authors

Alan Barnicle, Cathal Seoighe, Aaron Golden, John M Greally, Laurence J Egan

Abstract

Region and cell-type specific differences in the molecular make up of colon epithelial cells have been reported. Those differences may underlie the region-specific characteristics of common colon epithelial diseases such as colorectal cancer and inflammatory bowel disease. DNA methylation is a cell-type specific epigenetic mark, essential for transcriptional regulation, silencing of repetitive DNA and genomic imprinting. Little is known about any region-specific variations in methylation patterns in human colon epithelial cells. Using purified epithelial cells and whole biopsies (n=19) from human subjects, epigenome-wide DNA methylation data (using the HELP-tagging assay) was generated, comparing the methylation signatures of the proximal and distal colon. A total of 125 differentially methylated sites (DMS) were identified, mapping to transcription start sites of protein-coding genes, most notably several members of the homeobox (HOX) family of genes. Patterns of differential methylation were also validated using MassArray EpiTYPER. DNA methylation was also examined in whole biopsies, applying a computational technique to deconvolve variation in methylation within cell types and variation in cell-type composition across biopsies. Including inferred epithelial proportions as a covariate in differential methylation analysis applied to the whole biopsies resulted in greater overlap with the results obtained from purified epithelial cells compared to when the covariate was not included. Results obtained using both approaches highlight region-specific methylation patterns of HOX genes in colonic epithelium. Regional variation in methylation patterns has implications for the study of diseases that exhibit regional expression patterns in the human colon, such as inflammatory bowel disease and colorectal cancer.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 28 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
France 1 4%
Ireland 1 4%
Unknown 26 93%

Demographic breakdown

Readers by professional status Count As %
Researcher 7 25%
Student > Master 4 14%
Student > Ph. D. Student 4 14%
Student > Doctoral Student 2 7%
Other 1 4%
Other 5 18%
Unknown 5 18%
Readers by discipline Count As %
Medicine and Dentistry 7 25%
Biochemistry, Genetics and Molecular Biology 6 21%
Agricultural and Biological Sciences 5 18%
Computer Science 1 4%
Nursing and Health Professions 1 4%
Other 2 7%
Unknown 6 21%
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 11 April 2016.
All research outputs
#17,289,387
of 25,377,790 outputs
Outputs from Physiological Genomics
#828
of 1,142 outputs
Outputs of similar age
#246,513
of 405,883 outputs
Outputs of similar age from Physiological Genomics
#13
of 16 outputs
Altmetric has tracked 25,377,790 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,142 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.0. This one is in the 20th percentile – i.e., 20% 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 405,883 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 30th percentile – i.e., 30% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 16 others from the same source and published within six weeks on either side of this one. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.