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The structure of the human cell cycle.
Stallaert, Wayne; Kedziora, Katarzyna M; Taylor, Colin D; Zikry, Tarek M; Ranek, Jolene S; Sobon, Holly K; Taylor, Sovanny R; Young, Catherine L; Cook, Jeanette G; Purvis, Jeremy E.
Afiliação
  • Stallaert W; Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA; Computational Medicine Program, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA.
  • Kedziora KM; Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA; Bioinformatics and Analytics Research Collaborative, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA.
  • Taylor CD; Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA; Computational Medicine Program, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA.
  • Zikry TM; Computational Medicine Program, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA; Department of Biostatistics, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, NC 27599, USA.
  • Ranek JS; Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA; Computational Medicine Program, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA.
  • Sobon HK; Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA; Computational Medicine Program, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA.
  • Taylor SR; Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA; Computational Medicine Program, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA.
  • Young CL; Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA; Computational Medicine Program, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA.
  • Cook JG; Department of Biochemistry and Biophysics, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA.
  • Purvis JE; Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA; Computational Medicine Program, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA. Electronic address: purvisj@email.unc.edu.
Cell Syst ; 13(3): 230-240.e3, 2022 03 16.
Article em En | MEDLINE | ID: mdl-34800361
Understanding the organization of the cell cycle has been a longstanding goal in cell biology. We combined time-lapse microscopy, highly multiplexed single-cell imaging of 48 core cell cycle proteins, and manifold learning to render a visualization of the human cell cycle. This data-driven approach revealed the comprehensive "structure" of the cell cycle: a continuum of molecular states that cells occupy as they transition from one cell division to the next, or as they enter or exit cell cycle arrest. Paradoxically, progression deeper into cell cycle arrest was accompanied by increases in proliferative effectors such as CDKs and cyclins, which can drive cell cycle re-entry by overcoming p21 induction. The structure also revealed the molecular trajectories into senescence and the unique combination of molecular features that define this irreversibly arrested state. This approach will enable the comparison of alternative cell cycles during development, in response to environmental perturbation and in disease. A record of this paper's transparent peer review process is included in the supplemental information.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Ciclinas / Quinases Ciclina-Dependentes Limite: Humans Idioma: En Revista: Cell Syst Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Ciclinas / Quinases Ciclina-Dependentes Limite: Humans Idioma: En Revista: Cell Syst Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Estados Unidos