Machine learning classification of cell-specific cardiac enhancers uncovers developmental subnetworks regulating progenitor cell division and cell fate specification.

Ahmad, Shaad M; Busser, Brian W; Huang, Di; Cozart, Elizabeth J; Michaud, Sébastien; Zhu, Xianmin; Jeffries, Neal; Aboukhalil, Anton; Bulyk, Martha L; Ovcharenko, Ivan; Michelson, Alan M

Ahmad, Shaad M; Busser, Brian W; Huang, Di; Cozart, Elizabeth J; Michaud, Sébastien; Zhu, Xianmin; Jeffries, Neal; Aboukhalil, Anton; Bulyk, Martha L; Ovcharenko, Ivan; Michelson, Alan M.

Affiliation

Ahmad SM; Laboratory of Developmental Systems Biology, National Heart Lung and Blood Institute, National Institutes of Health, Bethesda, MD 20892, USA.

Development ; 141(4): 878-88, 2014 Feb.

Article in En | MEDLINE | ID: mdl-24496624

Subject(s)

Cell Differentiation/physiology; Cell Division/physiology; Drosophila/growth & development; Enhancer Elements, Genetic/genetics; Gene Expression Regulation, Developmental/physiology; Heart/growth & development; Stem Cells/physiology; Animals; Artificial Intelligence; Chromatin Immunoprecipitation; Classification/methods; Drosophila/cytology; Gene Expression Regulation, Developmental/genetics; Mutagenesis; Myoblasts, Cardiac/metabolism; Transcription Factors/genetics; Transcription Factors/metabolism

Key words

Cell division; Drosophila; Gene regulation; Machine learning; Organogenesis; Progenitor specification; Transcription factors

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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Stem Cells / Cell Differentiation / Cell Division / Enhancer Elements, Genetic / Gene Expression Regulation, Developmental / Drosophila / Heart Type of study: Prognostic_studies Limits: Animals Language: En Journal: Development Journal subject: BIOLOGIA / EMBRIOLOGIA Year: 2014 Document type: Article Affiliation country: United States Country of publication: United kingdom

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