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Genome-Wide Maps of Circulating miRNA Biomarkers for Ulcerative Colitis

Overview of attention for article published in PLOS ONE, February 2012
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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 (88th percentile)
  • High Attention Score compared to outputs of the same age and source (84th percentile)

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7 X users
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2 patents

Citations

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99 Dimensions

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122 Mendeley
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Title
Genome-Wide Maps of Circulating miRNA Biomarkers for Ulcerative Colitis
Published in
PLOS ONE, February 2012
DOI 10.1371/journal.pone.0031241
Pubmed ID
Authors

Radha Duttagupta, Sharon DiRienzo, Rong Jiang, Jessica Bowers, Jeremy Gollub, Jessica Kao, Keith Kearney, David Rudolph, Noor B. Dawany, Michael K. Showe, Tom Stamato, Robert C. Getts, Keith W. Jones

Abstract

Inflammatory Bowel Disease--comprised of Crohn's Disease and Ulcerative Colitis (UC)--is a complex, multi-factorial inflammatory disorder of the gastrointestinal tract. In this study we have explored the utility of naturally occurring circulating miRNAs as potential blood-based biomarkers for non-invasive prediction of UC incidences. Whole genome maps of circulating miRNAs in micro-vesicles, Peripheral Blood Mononuclear Cells and platelets have been constructed from a cohort of 20 UC patients and 20 normal individuals. Through Significance Analysis of Microarrays, a signature of 31 differentially expressed platelet-derived miRNAs has been identified and biomarker performance estimated through a non-probabilistic binary linear classification using Support Vector Machines. Through this approach, classifier measurements reveal a predictive score of 92.8% accuracy, 96.2% specificity and 89.5% sensitivity in distinguishing UC patients from normal individuals. Additionally, the platelet-derived biomarker signature can be validated at 88% accuracy through qPCR assays, and a majority of the miRNAs in this panel can be demonstrated to sub-stratify into 4 highly correlated intensity based clusters. Analysis of predicted targets of these biomarkers reveal an enrichment of pathways associated with cytoskeleton assembly, transport, membrane permeability and regulation of transcription factors engaged in a variety of regulatory cascades that are consistent with a cell-mediated immune response model of intestinal inflammation. Interestingly, comparison of the miRNA biomarker panel and genetic loci implicated in IBD through genome-wide association studies identifies a physical linkage between hsa-miR-941 and a UC susceptibility loci located on Chr 20. Taken together, analysis of these expression maps outlines a promising catalog of novel platelet-derived miRNA biomarkers of clinical utility and provides insight into the potential biological function of these candidates in disease pathogenesis.

X Demographics

X Demographics

The data shown below were collected from the profiles of 7 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 122 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 2 2%
United States 2 2%
United Kingdom 2 2%
Austria 1 <1%
Netherlands 1 <1%
Korea, Republic of 1 <1%
Brazil 1 <1%
Unknown 112 92%

Demographic breakdown

Readers by professional status Count As %
Researcher 24 20%
Student > Ph. D. Student 22 18%
Student > Master 13 11%
Student > Bachelor 11 9%
Other 11 9%
Other 22 18%
Unknown 19 16%
Readers by discipline Count As %
Medicine and Dentistry 39 32%
Agricultural and Biological Sciences 32 26%
Biochemistry, Genetics and Molecular Biology 13 11%
Computer Science 3 2%
Engineering 3 2%
Other 6 5%
Unknown 26 21%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 11. 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 18 July 2017.
All research outputs
#2,881,755
of 22,663,150 outputs
Outputs from PLOS ONE
#38,371
of 193,502 outputs
Outputs of similar age
#18,237
of 155,000 outputs
Outputs of similar age from PLOS ONE
#549
of 3,558 outputs
Altmetric has tracked 22,663,150 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 193,502 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.0. This one has done well, scoring higher than 80% 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 155,000 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 88% of its contemporaries.
We're also able to compare this research output to 3,558 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 84% of its contemporaries.