The diversity of cell types is a challenge for quantifying aging and its reversal. Here we
develop 'aging clocks' based on single-cell transcriptomics to characterize cell-type-specific …

Epigenetic alterations are a hallmark of aging and age‐related diseases. Computational
models using DNA methylation data can create “epigenetic clocks” which are proposed to …

Epigenetic clocks, developed using DNA methylation data, have been widely used to
quantify biological aging in multiple tissues/cells. However, many existing epigenetic clocks …

The mammalian brain is complex, with multiple cell types performing a variety of diverse
functions, but exactly how each cell type is affected in aging remains largely unknown. Here …

Aging is the key risk factor for cognitive decline, yet the molecular changes underlying brain
aging remain poorly understood. Here, we conducted spatiotemporal RNA sequencing of …

Aging is associated with complex molecular and cellular processes that are poorly
understood. Here we leveraged the Tabula Muris Senis single-cell RNA-seq data set to …

Ageing leads to dramatic changes in the physiology of many different tissues resulting in a
spectrum of pathology. Nonetheless, many lines of evidence suggest that ageing is driven …

Aging is a major risk factor for many human diseases, and in vitro generation of human
neurons is an attractive approach for modeling aging-related brain disorders. However …

Aging is a complex process involving transcriptomic changes associated with deterioration
across multiple tissues and organs, including the brain. Recent studies using heterochronic …

It is well established that gene expression levels in many organisms change during the
aging process, and the advent of DNA microarrays has allowed genome-wide patterns of …