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000287620 1001_ $$00000-0001-6615-3788$$aDuran, Imanol$$b0
000287620 245__ $$aDetection of senescence using machine learning algorithms based on nuclear features.
000287620 260__ $$a[London]$$bNature Publishing Group UK$$c2024
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000287620 520__ $$aCellular senescence is a stress response with broad pathophysiological implications. Senotherapies can induce senescence to treat cancer or eliminate senescent cells to ameliorate ageing and age-related pathologies. However, the success of senotherapies is limited by the lack of reliable ways to identify senescence. Here, we use nuclear morphology features of senescent cells to devise machine-learning classifiers that accurately predict senescence induced by diverse stressors in different cell types and tissues. As a proof-of-principle, we use these senescence classifiers to characterise senolytics and to screen for drugs that selectively induce senescence in cancer cells but not normal cells. Moreover, a tissue senescence score served to assess the efficacy of senolytic drugs and identified senescence in mouse models of liver cancer initiation, ageing, and fibrosis, and in patients with fatty liver disease. Thus, senescence classifiers can help to detect pathophysiological senescence and to discover and validate potential senotherapies.
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000287620 7001_ $$aPombo, Joaquim$$b1
000287620 7001_ $$aSun, Bin$$b2
000287620 7001_ $$0P:(DE-He78)c3b4d9cf232a212cd5dc05d94e1a91fc$$aGallage, Suchira Upeksha$$b3$$udkfz
000287620 7001_ $$aKudo, Hiromi$$b4
000287620 7001_ $$aMcHugh, Domhnall$$b5
000287620 7001_ $$00000-0002-5339-3173$$aBousset, Laura$$b6
000287620 7001_ $$0P:(DE-He78)04c93dc33b8f0bc5a746841c998f4018$$aBarragan Avila, Jose Efren$$b7$$udkfz
000287620 7001_ $$00000-0003-4746-7065$$aForlano, Roberta$$b8
000287620 7001_ $$aManousou, Pinelopi$$b9
000287620 7001_ $$0P:(DE-He78)66ed2d4ec9bc11d29b87ac006adf85e5$$aHeikenwalder, Mathias$$b10$$udkfz
000287620 7001_ $$00000-0002-8009-7521$$aWithers, Dominic J$$b11
000287620 7001_ $$00000-0001-6728-5555$$aVernia, Santiago$$b12
000287620 7001_ $$00000-0001-5184-4519$$aGoldin, Robert D$$b13
000287620 7001_ $$00000-0002-4303-6260$$aGil, Jesús$$b14
000287620 773__ $$0PERI:(DE-600)2553671-0$$a10.1038/s41467-024-45421-w$$gVol. 15, no. 1, p. 1041$$n1$$p1041$$tNature Communications$$v15$$x2041-1723$$y2024
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