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Modeling Long ncRNA-Mediated Regulation in the Mammalian Cell Cycle.
Rabajante, Jomar F; Del Rosario, Ricardo C H.
Afiliação
  • Rabajante JF; Institute of Mathematical Sciences and Physics, University of the Philippines Los Baños, Laguna, Philippines. jfrabajante@up.edu.ph.
  • Del Rosario RCH; Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA.
Methods Mol Biol ; 1912: 427-445, 2019.
Article em En | MEDLINE | ID: mdl-30635904
ABSTRACT
Long noncoding RNAs (lncRNAs) are transcripts longer than 200 nucleotides that are not translated into proteins. They have recently gained widespread attention due to the finding that tens of thousands of lncRNAs reside in the human genome, and due to an increasing number of lncRNAs that are found to be associated with disease. Some lncRNAs, including disease-associated ones, play different roles in regulating the cell cycle. Mathematical models of the cell cycle have been useful in better understanding this biological system, such as how it could be robust to some perturbations and how the cell cycle checkpoints could act as a switch. Here, we discuss mathematical modeling techniques for studying lncRNA regulation of the mammalian cell cycle. We present examples on how modeling via network analysis and differential equations can provide novel predictions toward understanding cell cycle regulation in response to perturbations such as DNA damage.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Ciclo Celular / Regulação da Expressão Gênica / Proteínas de Ciclo Celular / RNA Longo não Codificante / Modelos Genéticos Tipo de estudo: Prognostic_studies Limite: Animals / Humans Idioma: En Revista: Methods Mol Biol Assunto da revista: BIOLOGIA MOLECULAR Ano de publicação: 2019 Tipo de documento: Article País de afiliação: Filipinas

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Ciclo Celular / Regulação da Expressão Gênica / Proteínas de Ciclo Celular / RNA Longo não Codificante / Modelos Genéticos Tipo de estudo: Prognostic_studies Limite: Animals / Humans Idioma: En Revista: Methods Mol Biol Assunto da revista: BIOLOGIA MOLECULAR Ano de publicação: 2019 Tipo de documento: Article País de afiliação: Filipinas