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MicroRNA Expression in Alpha and Beta Cells of Human Pancreatic Islets

Overview of attention for article published in PLOS ONE, January 2013
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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 (79th percentile)
  • Good Attention Score compared to outputs of the same age and source (72nd percentile)

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3 patents

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120 Dimensions

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106 Mendeley
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Title
MicroRNA Expression in Alpha and Beta Cells of Human Pancreatic Islets
Published in
PLOS ONE, January 2013
DOI 10.1371/journal.pone.0055064
Pubmed ID
Authors

Dagmar Klein, Ryosuke Misawa, Valia Bravo-Egana, Nancy Vargas, Samuel Rosero, Julieta Piroso, Hirohito Ichii, Oliver Umland, Jiang Zhijie, Nicholas Tsinoremas, Camillo Ricordi, Luca Inverardi, Juan Domínguez-Bendala, Ricardo L. Pastori

Abstract

microRNAs (miRNAs) play an important role in pancreatic development and adult β-cell physiology. Our hypothesis is based on the assumption that each islet cell type has a specific pattern of miRNA expression. We sought to determine the profile of miRNA expression in α-and β-cells, the main components of pancreatic islets, because this analysis may lead to a better understanding of islet gene regulatory pathways. Highly enriched (>98%) subsets of human α-and β-cells were obtained by flow cytometric sorting after intracellular staining with c-peptide and glucagon antibody. The method of sorting based on intracellular staining is possible because miRNAs are stable after fixation. MiRNA expression levels were determined by quantitative high throughput PCR-based miRNA array platform screening. Most of the miRNAs were preferentially expressed in β-cells. From the total of 667 miRNAs screened, the Significant Analysis of Microarray identified 141 miRNAs, of which only 7 were expressed more in α-cells (α-miRNAs) and 134 were expressed more in β-cells (β-miRNAs). Bioinformatic analysis identified potential targets of β-miRNAs analyzing the Beta Cell Gene Atlas, described in the T1Dbase, the web platform, supporting the type 1 diabetes (T1D) community. cMaf, a transcription factor regulating glucagon expression expressed selectively in α-cells (TFα) is targeted by β-miRNAs; miR-200c, miR-125b and miR-182. Min6 cells treated with inhibitors of these miRNAs show an increased expression of cMaf RNA. Conversely, over expression of miR-200c, miR-125b or miR-182 in the mouse alpha cell line αTC6 decreases the level of cMAF mRNA and protein. MiR-200c also inhibits the expression of Zfpm2, a TFα that inhibits the PI3K signaling pathway, at both RNA and protein levels.In conclusion, we identified miRNAs differentially expressed in pancreatic α- and β-cells and their potential transcription factor targets that could add new insights into different aspects of islet biology and pathophysiology.

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X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 106 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 <1%
Brazil 1 <1%
Unknown 104 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 29 27%
Researcher 22 21%
Student > Master 10 9%
Student > Bachelor 7 7%
Professor 5 5%
Other 14 13%
Unknown 19 18%
Readers by discipline Count As %
Agricultural and Biological Sciences 34 32%
Biochemistry, Genetics and Molecular Biology 28 26%
Medicine and Dentistry 12 11%
Nursing and Health Professions 3 3%
Neuroscience 3 3%
Other 6 6%
Unknown 20 19%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 October 2022.
All research outputs
#5,673,857
of 23,506,079 outputs
Outputs from PLOS ONE
#72,692
of 201,319 outputs
Outputs of similar age
#59,649
of 286,559 outputs
Outputs of similar age from PLOS ONE
#1,383
of 5,024 outputs
Altmetric has tracked 23,506,079 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 201,319 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.3. This one has gotten more attention than average, scoring higher than 63% 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 286,559 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 79% of its contemporaries.
We're also able to compare this research output to 5,024 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 72% of its contemporaries.