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New algorithm recognises senescent cells using physical morphology


Key points from article :

Details of a cell's size and shape might offer more information than other biomarkers.

Researchers developed a method of identifying senescent cells through their physical morphology.

High-content analysis (HCA) used in this study, may make it easier to look at senescent cells instead of biochemical analysis.

Primarily examined four different populations of senescent cells and used an algorithmic technique called exploratory factor analysis.

Cells were induced senescence with oncogene or senescence-associated secretory phenotype or replicative senescence.

Generalize these 62 factors into eight “latent factors”, such as nucleus size and cell shape.

in vivo analysis done by growing tumors of human cells in mice and  inducing senescence with a drug.

Algorithm reported 27 substantial differences in morphology between cells that were positive and negative for p21 biomarker.

If it can be refined and proven reliable, it might become a superior standard for senescent cells identification.

Research published in Aging.

in vivo analysis in mice confirms the imaging results against p21 biomarker

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Bio-medical journal covering research on all aspects of gerontology