Giulia Cerrato, Allan Sauvat, Félix Peyre, Oliver Kepp, Guido Kroemer
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引用次数: 0
Abstract
Cellular senescence is a molecular process that is activated in response to a large variety of distinct stress signals. Mechanistically, cellular senescence is characterized by an arrest in cell cycle accompanied by phenotypic adaptations and physiological alterations including changes in the secretory profile of senescent cells termed the senescence-associated secretory phenotype (SASP). Here we describe a detailed, automation- compatible method for the detection of senescence-associated beta galactosidase (SA-β-gal) activity as a hallmark of cellular senescence using a conventional fluorescent microscope equipped with a transmitted light module. Moreover, we outline a protocol for the automated analysis of cellular senescence using convolutional neural networks (CNNs) and mathematical morphology. In sum, we provide a toolset for the high throughput assessment of cellular senescence based on light microscopy and automated image analysis.
期刊介绍：
For over fifty years, Methods in Cell Biology has helped researchers answer the question "What method should I use to study this cell biology problem?" Edited by leaders in the field, each thematic volume provides proven, state-of-art techniques, along with relevant historical background and theory, to aid researchers in efficient design and effective implementation of experimental methodologies. Over its many years of publication, Methods in Cell Biology has built up a deep library of biological methods to study model developmental organisms, organelles and cell systems, as well as comprehensive coverage of microscopy and other analytical approaches.
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