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ISL1 Directly Regulates FGF10 Transcription during Human Cardiac Outflow Formation

Overview of attention for article published in PLOS ONE, January 2012
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Title
ISL1 Directly Regulates FGF10 Transcription during Human Cardiac Outflow Formation
Published in
PLOS ONE, January 2012
DOI 10.1371/journal.pone.0030677
Pubmed ID
Authors

Christelle Golzio, Emmanuelle Havis, Philippe Daubas, Gregory Nuel, Candice Babarit, Arnold Munnich, Michel Vekemans, Stéphane Zaffran, Stanislas Lyonnet, Heather C. Etchevers

Abstract

The LIM homeodomain gene Islet-1 (ISL1) encodes a transcription factor that has been associated with the multipotency of human cardiac progenitors, and in mice enables the correct deployment of second heart field (SHF) cells to become the myocardium of atria, right ventricle and outflow tract. Other markers have been identified that characterize subdomains of the SHF, such as the fibroblast growth factor Fgf10 in its anterior region. While functional evidence of its essential contribution has been demonstrated in many vertebrate species, SHF expression of Isl1 has been shown in only some models. We examined the relationship between human ISL1 and FGF10 within the embryonic time window during which the linear heart tube remodels into four chambers. ISL1 transcription demarcated an anatomical region supporting the conserved existence of a SHF in humans, and transcription factors of the GATA family were co-expressed therein. In conjunction, we identified a novel enhancer containing a highly conserved ISL1 consensus binding site within the FGF10 first intron. ChIP and EMSA demonstrated its direct occupation by ISL1. Transcription mediated by ISL1 from this FGF10 intronic element was enhanced by the presence of GATA4 and TBX20 cardiac transcription factors. Finally, transgenic mice confirmed that endogenous factors bound the human FGF10 intronic enhancer to drive reporter expression in the developing cardiac outflow tract. These findings highlight the interest of examining developmental regulatory networks directly in human tissues, when possible, to assess candidate non-coding regions that may be responsible for congenital malformations.

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Mendeley readers

The data shown below were compiled from readership statistics for 52 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
France 1 2%
Unknown 51 98%

Demographic breakdown

Readers by professional status Count As %
Researcher 16 31%
Student > Ph. D. Student 12 23%
Student > Bachelor 6 12%
Student > Doctoral Student 4 8%
Professor > Associate Professor 3 6%
Other 6 12%
Unknown 5 10%
Readers by discipline Count As %
Agricultural and Biological Sciences 19 37%
Biochemistry, Genetics and Molecular Biology 14 27%
Medicine and Dentistry 10 19%
Neuroscience 2 4%
Computer Science 1 2%
Other 1 2%
Unknown 5 10%