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Cells can be reprogrammed into senescence to adapt to a variety of stresses, most often affecting the genome integrity. Senescent cells accumulate with age or upon various insults in almost all tissues, and contribute to the development of several age-associated pathologies. Studying the molecular pathways involved in senescence induction, maintenance, or escape is challenged by the heterogeneity in the level of commitment to senescence, and by the pollution of senescent cell populations by proliferating pre- or post-senescent cells. We coped with these difficulties by developing a protocol for sorting senescent cells by flow cytometry, based on three major senescence markers : the SA-β-Galactosidase activity, the size of the cells, and their granularity reflecting the accumulation of aggregates, lysosomes, and altered mitochondria. We address the issues related to sorting senescent cells, the pitfalls to avoid, and propose solutions for sorting viable cells expressing senescent markers at different extents., (© 2024 médecine/sciences – Inserm.)

Cellular senescence is a reprogrammed cell state triggered as an adaptative response to a variety of stresses, most often those affecting the genome integrity. Senescent cells accumulate in most tissues with age and contribute to the development of several pathologies. Studying molecular pathways involved in senescence induction and maintenance, or in senescence escape, can be hindered by the heterogeneity of senescent cell populations. Here, we describe a flow cytometry strategy for sorting senescent cells according to three senescence canonical markers whose thresholds can be independently adapted to be more or less stringent: (i) the senescence-associated-β-galactosidase (SA-β-Gal) activity, detected using 5-dodecanoylaminofluorescein Di-β-D-galactopyranoside (C 12 FDG), a fluorigenic substrate of β-galactosidase; (ii) cell size, proportional to the forward scatter value, since increased size is one of the major changes observed in senescent cells; and (iii) cell granularity, proportional to the side scatter value, which reflects the accumulation of aggregates, lysosomes, and altered mitochondria in senescent cells. We applied this protocol to the sorting of normal human fibroblasts at the replicative senescence plateau. We highlighted the challenge of sorting these senescent cells because of their large sizes, and established that it requires using sorters equipped with a nozzle of an unusually large diameter: at least 200 µm. We present evidence of the sorting efficiency and sorted cell viability, as well as of the senescent nature of the sorted cells, confirmed by the detection of other senescence markers, including the expression of the CKI p21 and the presence of 53BP1 DNA damage foci. Our protocol makes it possible, for the first time, to sort senescent cells from contaminating proliferating cells and, at the same time, to sort subpopulations of senescent cells featuring senescent markers to different extents. Graphical abstract., Competing Interests: Competing interestsThe authors have no conflicting financial or non-financial interests., (Copyright © 2023 The Authors.)

A rare but severe complication of curative-intent radiation therapy is the induction of second primary cancers. These cancers preferentially develop not inside the planning target volume (PTV) but around, over several centimeters, after a latency period of 1-40 years. We show here that normal human or mouse dermal fibroblasts submitted to the out-of-field dose scattering at the margin of a PTV receiving a mimicked patient's treatment do not die but enter in a long-lived senescent state resulting from the accumulation of unrepaired DNA single-strand breaks, in the almost absence of double-strand breaks. Importantly, a few of these senescent cells systematically and spontaneously escape from the cell cycle arrest after a while to generate daughter cells harboring mutations and invasive capacities. These findings highlight single-strand break-induced senescence as the mechanism of second primary cancer initiation, with clinically relevant spatiotemporal specificities. Senescence being pharmacologically targetable, they open the avenue for second primary cancer prevention., Competing Interests: EG, MT, CF, NM, EB, JB, Cd, JN, LS, CD, PB, AV, OM, LP, GG, OP, AP, FC, EL, NP, CA No competing interests declared, (© 2022, Goy et al.)

When ageing, cells profoundly reprogram to enter a state called senescence. Although the link between senescence and cancer is well established, the nature of this link remains unclear and debated. We will describe in this article the properties of senescent cells and make clear on how they could promote or oppose to cancer initiation and progression. We will also consider senescence as a response to classical anti-cancer therapies and discuss how to take advantage of senescence to improve the efficacy of these therapies while decreasing their toxicity., (© 2018 médecine/sciences – Inserm.)