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Integration of Nodal and BMP Signals in the Heart Requires FoxH1 to Create Left-Right Differences in Cell Migration Rates That Direct Cardiac Asymmetry
Journal article   Open access   Peer reviewed

Integration of Nodal and BMP Signals in the Heart Requires FoxH1 to Create Left-Right Differences in Cell Migration Rates That Direct Cardiac Asymmetry

Kari F. Lenhart, Nathalia G. Holtzman, Jessica R. Williams and Rebecca D. Burdine
PLoS genetics, v 9(1), pp e1003109-e1003109
01 Jan 2013
PMID: 23358434
url
https://journals.plos.org/plosgenetics/article/file?id=10.1371/journal.pgen.1003109&type=printableView
Published, Version of Record (VoR) Open
url
https://doi.org/10.1371/journal.pgen.1003109View
Published, Version of Record (VoR) Open

Abstract

Genetics & Heredity Life Sciences & Biomedicine Science & Technology
Failure to properly establish the left-right (L/R) axis is a major cause of congenital heart defects in humans, but how L/R patterning of the embryo leads to asymmetric cardiac morphogenesis is still unclear. We find that asymmetric Nodal signaling on the left and Bmp signaling act in parallel to establish zebrafish cardiac laterality by modulating cell migration velocities across the L/R axis. Moreover, we demonstrate that Nodal plays the crucial role in generating asymmetry in the heart and that Bmp signaling via Bmp4 is dispensable in the presence of asymmetric Nodal signaling. In addition, we identify a previously unappreciated role for the Nodal-transcription factor FoxH1 in mediating cell responsiveness to Bmp, further linking the control of these two pathways in the heart. The interplay between these TGF beta pathways is complex, with Nodal signaling potentially acting to limit the response to Bmp pathway activation and the dosage of Bmp signals being critical to limit migration rates. These findings have implications for understanding the complex genetic interactions that lead to congenital heart disease in humans.

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58 citations in Scopus

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Collaboration types
Domestic collaboration
Web of Science research areas
Genetics & Heredity
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