Senescent cell heterogeneity and responses to senolytic treatment are related to cell cycle status during cell growth arrest.
Neri, F.; Zheng, S.; Watson, M.; Desprez, P. Y.; Gerencser, A.; Campisi, J.; Wirtz, D.; Wu, P.-H.; Schilling, B.
Show abstract
Cellular senescence has been strongly linked to aging and age-related diseases. It is well established that the phenotype of senescent cells is highly heterogeneous and influenced by their cell type and senescence-inducing stimulus. Recent single-cell RNA-sequencing studies identified heterogeneity within senescent cell populations. However, proof of functional differences between such subpopulations is lacking. To identify functionally distinct senescent cell subpopulations, we employed high-content image analysis to measure senescence marker expression in primary human endothelial cells and fibroblasts. We found that G2-arrested senescent cells feature higher senescence marker expression than G1-arrested senescent cells. To investigate functional differences, we compared IL-6 secretion and response to ABT263 senolytic treatment in G1 and G2 senescent cells. We determined that G2-arrested senescent cells secrete more IL-6 and are more sensitive to ABT263 than G1-arrested cells. We hypothesize that cell cycle dependent DNA content is a key contributor to the heterogeneity within senescent cell populations. This study demonstrates the existence of functionally distinct senescent subpopulations even in culture. This data provides the first evidence of selective cell response to senolytic treatment among senescent cell subpopulations. Overall, this study emphasizes the importance of considering the senescent cell heterogeneity in the development of future senolytic therapies.
Matching journals
The top 2 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Single-cell fluorescence imaging reveals heterogeneity in senescence biomarkers and identifies rapamycin-responsive sub-populations 97%
- Senolytic-Resistant Senescent Cells Have a Distinct SASP Profile and Functional Impact: The Path to Developing Senosensitizers 96%
- Rejuvenation of Senescent Cells by Low Frequency Ultrasound without Senolysis 95%
Similar papers in this journal
- A Fully-Automated Senescence Test (FAST) for the high-throughput quantification of senescence-associated markers 98%
- Multiplexed single-cell imaging reveals diverging subpopulations with distinct senescence phenotypes during long-term senescence induction. 96%
- Substrate Stiffness Dictates Unique Doxorubicin-induced Senescence-associated Secretory Phenotypes and Transcriptomic Signatures in Human Pulmonary Fibroblasts 93%
Similar papers in this journal
- SAMP-Score: A morphology-based machine learning classification method for screening pro-senescence compounds in p16 positive cancer cells 94%
- Aryl Hydrocarbon Receptor Blocks Aging-Induced Senescence In The Liver And Fibroblast Cells 93%
- Hedgehog dysregulation contributes to tissue-specific inflammaging of resident macrophages 93%
Similar papers in this journal
- Comprehensive Bulk and Single-Cell RNA Sequencing Uncovers Senescence-Associated Biomarkers in Therapeutic Mesenchymal Stem Cells 95%
- MYCN-induced nucleolar stress drives an early senescence-like transcriptional program in hTERT-immortalized RPE cells 92%
- Generation of Somatic Mitochondrial DNA-Replaced Cells for Mitochondrial Dysfunction Treatment 91%
Similar papers in this journal
- Fisetin Attenuates Cellular Senescence Accumulation During Culture Expansion of Human Adipose-Derived Stem Cells 93%
- JAK2V617F mutant megakaryocytes contribute to hematopoietic aging in a murine model of myeloproliferative neoplasm 90%
- Healthy human induced pluripotent stem cell-derived cardiomyocytes exhibit sex dimorphism even without the addition of hormones 88%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.