SA-β-Gal stratification reveals senescence-associated heterogeneity and differential cell death susceptibility in human CD8 effector T cells

Introduction Cellular senescence in human T cells remains incompletely defined, particularly with respect to how senescence-associated states influence susceptibility to cell death. Methods We used flow-cytometric SPiDER-based detection of senescence-associated β-galactosidase (SA-β-Gal) activity to profile human CD8+ T-cell subsets from young and old donors. We stratified effector memory (CD8 EM ) and effector memory re-expressing CD45RA (CD8 EMRA ) subsets by the lowest (bottom 25%) and highest (top 25%) quartiles of SA-β-Gal signal. Results CD8 EM and CD8 EMRA cells displayed the greatest within-subset heterogeneity in SA-β-Gal activity. The SA-β-Gal low and high populations occupied distinct regions in UMAP projections and were reproducibly enriched in different FlowSOM metaclusters, indicating that SA-β-Gal activity captures structured phenotypic states within differentiated CD8+ T-cell compartments. These states differed in senescence-associated markers, including CD27, CD28, CD57, and CX3CR1, as well as granzyme-associated programs involving Gzm A, B and K, whereas chronological age had only a limited effect once subsets were analyzed separately. Functionally, nutrient-limited conditions unmasked marked differences in cell death susceptibility between these populations. Following PMA/ionomycin stimulation, SA-β-Gal high CD8 EM and CD8 EMRA cells underwent accelerated stimulation-induced cell death, showed increased caspase-3/7 activation, and exhibited lower post-treatment γH2AX signal relative to SA-β-Gal low counterparts. In contrast, in the absence of stimulation-induced energetic demand, SA-β-Gal high cells displayed greater resistance to cell death. Discussion Together, SA-β-Gal stratification resolves structured heterogeneity within human CD8 effector T cells and supports a context-dependent model in which senescence-associated effector states become selectively vulnerable to stimulation-induced death under metabolic stress.

Authors

Institutions

Publication Details

Journal
Frontiers in Immunology
Published
2026-10-26
DOI
https://doi.org/10.3389/fimmu.2026.1985303
Primary Topic
Telomeres, Telomerase, and Senescence
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

SA-β-Gal stratification reveals senescence-associated heterogeneity and differential cell death susceptibility in human CD8 effector T cells

Sukhwinder Singh, Elizabeth Akbulut, Paolo S. Turano, Patricia A. Fitzgerald-Bocarsly et al.
Frontiers in Immunology
Telomeres, Telomerase, and Senescence
article

SA-β-Gal stratification reveals senescence-associated heterogeneity and differential cell death susceptibility in human CD8 effector T cells

Sukhwinder Singh, Elizabeth Akbulut, Paolo S. Turano, Patricia A. Fitzgerald-Bocarsly, Dillon Oswald, Luis Garza‐Martinez, Nica Mariz Aquino, Mark Apadeer
article en

Abstract

Introduction Cellular senescence in human T cells remains incompletely defined, particularly with respect to how senescence-associated states influence susceptibility to cell death. Methods We used flow-cytometric SPiDER-based detection of senescence-associated β-galactosidase (SA-β-Gal) activity to profile human CD8+ T-cell subsets from young and old donors. We stratified effector memory (CD8 EM ) and effector memory re-expressing CD45RA (CD8 EMRA ) subsets by the lowest (bottom 25%) and highest (top 25%) quartiles of SA-β-Gal signal. Results CD8 EM and CD8 EMRA cells displayed the greatest within-subset heterogeneity in SA-β-Gal activity. The SA-β-Gal low and high populations occupied distinct regions in UMAP projections and were reproducibly enriched in different FlowSOM metaclusters, indicating that SA-β-Gal activity captures structured phenotypic states within differentiated CD8+ T-cell compartments. These states differed in senescence-associated markers, including CD27, CD28, CD57, and CX3CR1, as well as granzyme-associated programs involving Gzm A, B and K, whereas chronological age had only a limited effect once subsets were analyzed separately. Functionally, nutrient-limited conditions unmasked marked differences in cell death susceptibility between these populations. Following PMA/ionomycin stimulation, SA-β-Gal high CD8 EM and CD8 EMRA cells underwent accelerated stimulation-induced cell death, showed increased caspase-3/7 activation, and exhibited lower post-treatment γH2AX signal relative to SA-β-Gal low counterparts. In contrast, in the absence of stimulation-induced energetic demand, SA-β-Gal high cells displayed greater resistance to cell death. Discussion Together, SA-β-Gal stratification resolves structured heterogeneity within human CD8 effector T cells and supports a context-dependent model in which senescence-associated effector states become selectively vulnerable to stimulation-induced death under metabolic stress.

Frontiers in ImmunologyVol. 17
Rutgers, The State University of New Jersey (US), Rutgers Sexual and Reproductive Health and Rights (NL), Rutgers Health (US), Rutgers New Jersey Medical School (US)
National Institute on Aging
Openalex Percentile: Top 13%
Telomeres, Telomerase, and Senescence
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Laika access coming soon