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Trajectories of cell-cycle progression from fixed cell populations.
Gut, Gabriele; Tadmor, Michelle D; Pe'er, Dana; Pelkmans, Lucas; Liberali, Prisca.
Afiliação
  • Gut G; Institute of Molecular Life Sciences, University of Zurich, Zurich, Switzerland.
  • Tadmor MD; Molecular Life Sciences, Zurich, Switzerland.
  • Pe'er D; Department of Biological Sciences, Columbia University, New York, New York, USA.
  • Pelkmans L; Department of Biological Sciences, Columbia University, New York, New York, USA.
  • Liberali P; Institute of Molecular Life Sciences, University of Zurich, Zurich, Switzerland.
Nat Methods ; 12(10): 951-4, 2015 Oct.
Article em En | MEDLINE | ID: mdl-26301842
An accurate dissection of sources of cell-to-cell variability is crucial for quantitative biology at the single-cell level but has been challenging for the cell cycle. We present Cycler, a robust method that constructs a continuous trajectory of cell-cycle progression from images of fixed cells. Cycler handles heterogeneous microenvironments and does not require perturbations or genetic markers, making it generally applicable to quantifying multiple sources of cell-to-cell variability in mammalian cells.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Processamento de Imagem Assistida por Computador / Ciclo Celular / Análise de Célula Única Limite: Humans Idioma: En Ano de publicação: 2015 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Processamento de Imagem Assistida por Computador / Ciclo Celular / Análise de Célula Única Limite: Humans Idioma: En Ano de publicação: 2015 Tipo de documento: Article