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Modeling Syndromic Congenital Heart Defects in Zebrafish.
Grant, Meagan G; Patterson, Victoria L; Grimes, Daniel T; Burdine, Rebecca D.
Afiliação
  • Grant MG; Princeton University, Princeton, NJ, United States.
  • Patterson VL; Princeton University, Princeton, NJ, United States.
  • Grimes DT; Princeton University, Princeton, NJ, United States.
  • Burdine RD; Princeton University, Princeton, NJ, United States. Electronic address: rburdine@Princeton.EDU.
Curr Top Dev Biol ; 124: 1-40, 2017.
Article em En | MEDLINE | ID: mdl-28335857
Cardiac development is a dynamic process regulated by spatial and temporal cues that are integrated to effect molecular, cellular, and tissue-level events that form the adult heart. Disruption of these highly orchestrated events can be devastating for cardiac form and function. Aberrations in heart development result in congenital heart defects (CHDs), which affect 1 in 100 infants in the United States each year. Zebrafish have proven informative as a model organism to understand both heart development and the mechanisms associated with CHDs due to the similarities in heart morphogenesis among vertebrates, as well as their genetic tractability and amenability to live imaging. In this review, we discuss the mechanisms of zebrafish heart development and the utility of zebrafish for understanding syndromic CHDs, those cardiac abnormalities that occur in the context of multisystem disorders. We conclude with avenues of zebrafish research that will potentially inform future therapeutic approaches for the treatment of CHDs.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Peixe-Zebra / Modelos Animais de Doenças / Cardiopatias Congênitas Limite: Animals / Humans Idioma: En Revista: Curr Top Dev Biol Ano de publicação: 2017 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Peixe-Zebra / Modelos Animais de Doenças / Cardiopatias Congênitas Limite: Animals / Humans Idioma: En Revista: Curr Top Dev Biol Ano de publicação: 2017 Tipo de documento: Article