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Stochastic Kinetics of Nascent RNA.
Xu, Heng; Skinner, Samuel O; Sokac, Anna Marie; Golding, Ido.
Afiliação
  • Xu H; Center for Theoretical Biological Physics, Rice University, Houston, Texas, USA; Center for the Physics of Living Cells, University of Illinois at Urbana-Champaign, Urbana, Illinois, USA; Verna & Marrs McLean Department of Biochemistry and Molecular Biology, Baylor College of Medicine, Houston,
  • Skinner SO; Center for Theoretical Biological Physics, Rice University, Houston, Texas, USA; Center for the Physics of Living Cells, University of Illinois at Urbana-Champaign, Urbana, Illinois, USA; Verna & Marrs McLean Department of Biochemistry and Molecular Biology, Baylor College of Medicine, Houston,
  • Sokac AM; Verna & Marrs McLean Department of Biochemistry and Molecular Biology, Baylor College of Medicine, Houston, Texas, USA.
  • Golding I; Center for Theoretical Biological Physics, Rice University, Houston, Texas, USA; Center for the Physics of Living Cells, University of Illinois at Urbana-Champaign, Urbana, Illinois, USA; Verna & Marrs McLean Department of Biochemistry and Molecular Biology, Baylor College of Medicine, Houston,
Phys Rev Lett ; 117(12)2016 Sep 16.
Article em En | MEDLINE | ID: mdl-27667861
ABSTRACT
The stochastic kinetics of transcription is typically inferred from the distribution of RNA numbers in individual cells. However, cellular RNA reflects additional processes downstream of transcription, hampering this analysis. In contrast, nascent (actively transcribed) RNA closely reflects the kinetics of transcription. We present a theoretical model for the stochastic kinetics of nascent RNA, which we solve to obtain the probability distribution of nascent RNA per gene. The model allows us to evaluate the kinetic parameters of transcription from single-cell measurements of nascent RNA. The model also predicts surprising discontinuities in the distribution of nascent RNA, a feature which we verify experimentally.

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: Phys Rev Lett Ano de publicação: 2016 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: Phys Rev Lett Ano de publicação: 2016 Tipo de documento: Article