Simple Detection of Unstained Live Senescent Cells with Imaging Flow Cytometry.

ABSTRACT: Cellular senescence is a hallmark of aging and a promising target for therapeutic approaches. The identification of senescent cells requires multiple biomarkers and complex experimental procedures, resulting in increased variability and reduced sensitivity. Here, we propose a simple and broadly applicable imaging flow cytometry (IFC) method. This method is based on measuring autofluorescence and morphological parameters and on applying recent artificial intelligence (AI) and machine learning (ML) tools. We show that the results of this method are superior to those obtained measuring the classical senescence marker, senescence-associated beta-galactosidase (SA-β-Gal). We provide evidence that this method has the potential for diagnostic or prognostic applications as it was able to detect se

SUBMITTER: Malavolta M 

PROVIDER: S-EPMC9406876 | biostudies-literature | 2022 Aug

REPOSITORIES: biostudies-literature