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MicroRNA 218 Mediates the Effects of Tbx5a Over-Expression on Zebrafish Heart Development

Overview of attention for article published in PLOS ONE, November 2012
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Title
MicroRNA 218 Mediates the Effects of Tbx5a Over-Expression on Zebrafish Heart Development
Published in
PLOS ONE, November 2012
DOI 10.1371/journal.pone.0050536
Pubmed ID
Authors

Elena Chiavacci, Luca Dolfi, Lorena Verduci, Francesco Meghini, Gaia Gestri, Alberto Mercatanti Monica Evangelista, Stephen W. Wilson, Federico Cremisi, Letizia Pitto

Abstract

tbx5, a member of the T-box gene family, encodes one of the key transcription factors mediating vertebrate heart development. Tbx5 function in heart development appears to be exquisitely sensitive to gene dosage, since both haploinsufficiency and gene duplication generate the cardiac abnormalities associated with Holt-Oram syndrome (HOS), a highly penetrant autosomal dominant disease characterized by congenital heart defects of varying severity and upper limb malformation. It is suggested that tight integration of microRNAs and transcription factors into the cardiac genetic circuitry provides a rich and robust array of regulatory interactions to control cardiac gene expression. Based on these considerations, we performed an in silico screening to identify microRNAs embedded in genes highly sensitive to Tbx5 dosage. Among the identified microRNAs, we focused our attention on miR-218-1 that, together with its host gene, slit2, is involved in heart development. We found correlated expression of tbx5 and miR-218 during cardiomyocyte differentiation of mouse P19CL6 cells. In zebrafish embryos, we show that both Tbx5 and miR-218 dysregulation have a severe impact on heart development, affecting early heart morphogenesis. Interestingly, down-regulation of miR-218 is able to rescue the heart defects generated by tbx5 over-expression supporting the notion that miR-218 is a crucial mediator of Tbx5 in heart development and suggesting its possible involvement in the onset of heart malformations.

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The data shown below were compiled from readership statistics for 53 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Hong Kong 1 2%
Italy 1 2%
Unknown 51 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 14 26%
Researcher 14 26%
Student > Doctoral Student 5 9%
Professor > Associate Professor 5 9%
Student > Master 5 9%
Other 5 9%
Unknown 5 9%
Readers by discipline Count As %
Agricultural and Biological Sciences 17 32%
Biochemistry, Genetics and Molecular Biology 16 30%
Medicine and Dentistry 8 15%
Neuroscience 3 6%
Computer Science 1 2%
Other 1 2%
Unknown 7 13%