Mass Cytometry as a Tool for Investigating Senescence in Multiple Model Systems

Author:

Abdul-Aziz Amina1,Devine Raymond D.2,Lyberger Justin M.2,Chang Hsiaochi2,Kovacs Amy2,Lerma James R.1,Rogers Andrew M.34,Byrd John C.1,Hertlein Erin1,Behbehani Gregory K.25

Affiliation:

1. Department of Internal Medicine, University of Cincinnati, Cincinnati, OH 45221, USA

2. Department of Medicine, Division of Hematology, The Ohio State University Comprehensive Cancer Center, The Ohio State University, Columbus, OH 43210, USA

3. Maine Medical Center, Portland, ME 04102, USA

4. Tufts University School of Medicine, Boston, MA 02111, USA

5. Pelotonia Institute for Immuno-Oncology, The James Comprehensive Cancer Center, The Ohio State University, Columbus, OH 43210, USA

Abstract

Cellular senescence is a durable cell cycle arrest as a result of the finite proliferative capacity of cells. Senescence responds to both intrinsic and extrinsic cellular stresses, such as aging, mitochondrial dysfunction, irradiation, and chemotherapy. Here, we report on the use of mass cytometry (MC) to analyze multiple model systems and demonstrate MC as a platform for senescence analysis at the single-cell level. We demonstrate changes to p16 expression, cell cycling fraction, and histone tail modifications in several established senescent model systems and using isolated human T cells. In bone marrow mesenchymal stromal cells (BMSCs), we show increased p16 expression with subsequent passage as well as a reduction in cycling cells and open chromatin marks. In WI-38 cells, we demonstrate increased p16 expression with both culture-induced senescence and oxidative stress-induced senescence (OSIS). We also use Wanderlust, a trajectory analysis tool, to demonstrate how p16 expression changes with histone tail modifications and cell cycle proteins. Finally, we demonstrate that repetitive stimulation of human T cells with CD3/CD28 beads induces an exhausted phenotype with increased p16 expression. This p16-expressing population exhibited higher expression of exhaustion markers such as EOMES and TOX. This work demonstrates that MC is a useful platform for studying senescence at a single-cell protein level, and is capable of measuring multiple markers of senescence at once with high confidence, thereby improving our understanding of senescent pathways.

Funder

Pelotonia Fellowship Program

NIH NCI Pathway

Richard P. & Marie R. Bremer Medical Research Fund

William H. Davis Endowment for Basic Medical Research

Publisher

MDPI AG

Subject

General Medicine

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