4.4 Article

PITX1 promotes chondrogenesis and myogenesis in mouse hindlimbs through conserved regulatory targets

期刊

DEVELOPMENTAL BIOLOGY
卷 434, 期 1, 页码 186-195

出版社

ACADEMIC PRESS INC ELSEVIER SCIENCE
DOI: 10.1016/j.ydbio.2017.12.013

关键词

PITX1; Hindlimb; Anolis; Mouse; Chondrogenesis; Myogenesis

资金

  1. NSF [1149453]
  2. NIH [HD081034]
  3. Office of the Vice President of Research at the University of Georgia [1847, 2503]
  4. Division Of Integrative Organismal Systems
  5. Direct For Biological Sciences [1149453] Funding Source: National Science Foundation

向作者/读者索取更多资源

The PITX1 transcription factor is expressed during hindlimb development, where it plays a critical role in directing hindlimb growth and the specification of hindlimb morphology. While it is known that PITX1 regulates hindlimb formation, in part, through activation of the Tbx4 gene, other transcriptional targets remain to be elucidated. We have used a combination of ChIP-seq and RNA-seq to investigate enhancer regions and target genes that are directly regulated by PITX1 in embryonic mouse hindlimbs. In addition, we have analyzed PITX1 binding sites in hindlimbs of Anolis lizards to identify ancient PITX1 regulatory targets. We find that PITX1-bound regions in both mouse and Anolis hindlimbs are strongly associated with genes implicated in limb and skeletal system development. Gene expression analyses reveal a large number of misexpressed genes in the hindlimbs of Pitx1(-/-) mouse embryos. By intersecting misexpressed genes with genes that have neighboring mouse PITX1 binding sites, we identified 440 candidate targets of PITX1. Of these candidates, 68 exhibit ultra conserved PITX1 binding events that are shared between mouse and Anolis hindlimbs. Among the ancient targets of PITX1 are important regulators of cartilage and skeletal muscle development, including Sox9 and Six1. Our data suggest that PITX1 promotes chondrogenesis and myogenesis in the hindlimb by direct regulation of several key members of the cartilage and muscle transcriptional networks.

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