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The intensities of canonical senescence biomarkers integrate the duration of cell-cycle withdrawal

Author

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  • Humza M. Ashraf

    (University of Colorado
    University of Colorado)

  • Brianna Fernandez

    (University of Colorado
    University of Colorado)

  • Sabrina L. Spencer

    (University of Colorado
    University of Colorado)

Abstract

Senescence, a state of irreversible cell-cycle withdrawal, is difficult to distinguish from quiescence, a state of reversible cell-cycle withdrawal. This difficulty arises because quiescent and senescent cells are defined by overlapping biomarkers, raising the question of whether these states are truly distinct. To address this, we use single-cell time-lapse imaging to distinguish slow-cycling cells that spend long periods in quiescence from cells that never cycle after recovery from senescence-inducing treatments, followed by staining for various senescence biomarkers. We find that the staining intensity of multiple senescence biomarkers is graded rather than binary and reflects the duration of cell-cycle withdrawal, rather than senescence per se. Together, our data show that quiescent and apparent senescent cells are nearly molecularly indistinguishable from each other at a snapshot in time. This suggests that cell-cycle withdrawal itself is graded rather than binary, where the intensities of senescence biomarkers integrate the duration of past cell-cycle withdrawal.

Suggested Citation

  • Humza M. Ashraf & Brianna Fernandez & Sabrina L. Spencer, 2023. "The intensities of canonical senescence biomarkers integrate the duration of cell-cycle withdrawal," Nature Communications, Nature, vol. 14(1), pages 1-13, December.
  • Handle: RePEc:nat:natcom:v:14:y:2023:i:1:d:10.1038_s41467-023-40132-0
    DOI: 10.1038/s41467-023-40132-0
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    1. Zhixun Dou & Caiyue Xu & Greg Donahue & Takeshi Shimi & Ji-An Pan & Jiajun Zhu & Andrejs Ivanov & Brian C. Capell & Adam M. Drake & Parisha P. Shah & Joseph M. Catanzaro & M. Daniel Ricketts & Trond L, 2015. "Autophagy mediates degradation of nuclear lamina," Nature, Nature, vol. 527(7576), pages 105-109, November.
    2. Maja Milanovic & Dorothy N. Y. Fan & Dimitri Belenki & J. Henry M. Däbritz & Zhen Zhao & Yong Yu & Jan R. Dörr & Lora Dimitrova & Dido Lenze & Ines A. Monteiro Barbosa & Marco A. Mendoza-Parra & Tamar, 2018. "Senescence-associated reprogramming promotes cancer stemness," Nature, Nature, vol. 553(7686), pages 96-100, January.
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