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RNA sequencing reveals a depletion of collagen targeting microRNAs in Dupuytren’s disease

Overview of attention for article published in BMC Medical Genomics, October 2015
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Title
RNA sequencing reveals a depletion of collagen targeting microRNAs in Dupuytren’s disease
Published in
BMC Medical Genomics, October 2015
DOI 10.1186/s12920-015-0135-8
Pubmed ID
Authors

Scott M. Riester, Diren Arsoy, Emily T. Camilleri, Amel Dudakovic, Christopher R. Paradise, Jared M. Evans, Jorge Torres-Mora, Marco Rizzo, Peter Kloen, Marianna Kruithof-de Julio, Andre J. van Wijnen, Sanjeev Kakar

Abstract

Dupuytren's disease is an inherited disorder in which patients develop fibrotic contractures of the hand. Current treatment strategies include surgical excision or enzymatic digestion of fibrotic tissue. MicroRNAs, which are key posttranscriptional regulators of genes expression, have been shown to play an important regulatory role in disorders of fibrosis. Therefore in this investigation, we apply high throughput next generation RNA sequencing strategies to characterize microRNA expression in diseased and healthy palmar fascia to elucidate molecular mechanisms responsible for pathogenic fibrosis. We applied high throughput RNA sequencing techniques to quantify the expression of all known human microRNAs in Dupuytren's and control palmar fascia. MicroRNAs that were differentially expressed between diseased and healthy tissue samples were used for computational target prediction using the bioinformatics tool ComiR. Molecular pathways that were predicted to be differentially expressed based on computational analysis were validated by performing RT-qPCR on RNA extracted from diseased and non-diseased palmar fascia biopsies. A comparison of microRNAs expressed in Dupuytren's fascia and control fascia identified 74 microRNAs with a 2-fold enrichment in Dupuytren's tissue, and 32 microRNAs with enrichment in control fascia. Computational target prediction for differentially expressed microRNAs indicated preferential targeting of collagens and extracellular matrix related proteins in control palmar fascia. RT-qPCR confirmed the decreased expression of microRNA targeted collagens in control palmar fascia tissues. Control palmar fascia show decreased expression of mRNAs encoding collagens that are preferentially targeted by microRNAs enriched in non-diseased fascia. Thus alterations in microRNA regulatory networks may play an important role in driving the pathogenic fibrosis seen in Dupuytren's disease via direct regulatory effects on extracellular matrix protein synthesis. Dupuytren's fascia and healthy palmar fascia can be distinguished by unique microRNA profiles, which are predicted to preferentially target collagens and other extracellular matrix proteins.

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Geographical breakdown

Country Count As %
United States 1 2%
Unknown 43 98%

Demographic breakdown

Readers by professional status Count As %
Researcher 9 20%
Student > Ph. D. Student 6 14%
Student > Master 6 14%
Student > Bachelor 4 9%
Other 2 5%
Other 7 16%
Unknown 10 23%
Readers by discipline Count As %
Medicine and Dentistry 16 36%
Biochemistry, Genetics and Molecular Biology 8 18%
Agricultural and Biological Sciences 4 9%
Arts and Humanities 1 2%
Economics, Econometrics and Finance 1 2%
Other 1 2%
Unknown 13 30%
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 19 May 2017.
All research outputs
#18,428,159
of 22,829,683 outputs
Outputs from BMC Medical Genomics
#862
of 1,223 outputs
Outputs of similar age
#200,081
of 278,126 outputs
Outputs of similar age from BMC Medical Genomics
#17
of 19 outputs
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So far Altmetric has tracked 1,223 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 18th percentile – i.e., 18% of its peers scored the same or lower than it.
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