A5042067921- Epigenetics and DNA Methylation
- Immune cells in cancer
- Telomeres, Telomerase, and Senescence
- Immune responses and vaccinations
- Genomics and Chromatin Dynamics
- Histone Deacetylase Inhibitors Research
- Neuroinflammation and Neurodegeneration Mechanisms
- Circadian rhythm and melatonin
- Autophagy in Disease and Therapy
- Single-cell and spatial transcriptomics
Buck Institute for Research on Aging
2023-2025
University of Southern California
2023
Aging | doi:10.18632/aging.205581. Edwin Lee, Natàlia Carreras-Gallo, Leilani Lopez, Logan Turner, Aaron Lin, Tavis L. Mendez, Hannah Went, Alan Tomusiak, Eric Verdin, Michael Corley, Lishomwa Ndhlovu, Ryan Smith, Varun B. Dwaraka
Epigenetic clocks are age predictors that use machine-learning models trained on DNA CpG methylation values to predict chronological or biological age. Increases in predicted epigenetic relative (epigenetic acceleration) connected aging-associated pathologies, and changes linked canonical aging hallmarks. However, rely training data from bulk tissues whose cellular composition with Here, we found human naive CD8+ T cells, which decrease frequency during aging, exhibit an 15–20 years younger...
Abstract Epigenetic clocks are age predictors that use machine-learning models trained on DNA CpG methylation values to predict chronological or biological age. Increases in predicted epigenetic relative (epigenetic acceleration) connected aging-associated pathologies, and changes linked canonical aging hallmarks. However, rely training data from bulk tissues whose cellular composition with We found human naive CD8 + T cells, which decrease during aging, exhibit an 15–20 years younger than...
<title>Abstract</title> Epigenetic clocks are age predictors that use machine-learning models trained on DNA CpG methylation values to predict chronological or biological age. Increases in predicted epigenetic relative (epigenetic acceleration) connected aging-associated pathologies, and changes linked canonical aging hallmarks. However, rely training data from bulk tissues whose cellular composition with We found human naive CD8<sup>+</sup> T cells, which decrease during aging, exhibit an...
Abstract Biomarkers of aging provide insight into the biological effects interventions and diseases. However, most biomarkers today are based on measurements derived from bulk cell measurements, making it challenging to interpret whether an effect is due changes in type composition (systemic factors) or a intrinsic effect. Single-cell RNA sequencing provides unique platform simultaneously compare aging-associated both cellular level. We first generated single-cell combined automated human...
Abstract Senolytics, small molecules targeting cellular senescence, have emerged as potential therapeutics to enhance health span. However, their impact on epigenetic age remains unstudied. This study aimed assess the effects of Dasatinib and Quercetin (DQ) senolytic treatment DNA methylation (DNAm), age, immune cell subsets. In a Phase I pilot study, 19 participants received DQ for 6 months, with DNAm measured at baseline, 3 months. Significant increases in acceleration were observed...