Transcriptomic signatures of the aging brain at single-cell resolution
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA742781 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:Transcriptomic signatures of the aging brain at bulk-tissue resolution
| PRJNA743291 | ENA
Project description:Aging is a major risk factor for neurodegenerative diseases that impose tremendous burdens on people and societies today. To understand trajectories of neurological aging in a primate, we generated one of the most comprehensive brain transcriptional datasets to date in a unique population of naturalistic, behaviorally phenotyped rhesus macaques. In this experiment, we generated 71,863 single-nucleus RNA-seq transcriptomes from the dorsolateral prefrontal cortex of 24 adult females spanning all ages. We find that, of all tested cell classes, oligodendrocytes were the only cell type to significantly increase in proportion with age. We also identify hundreds of genes that change significantly with age in one or more cell types, providing a valuable window into cell-type-specific aging in the prefrontal cortex. Our findings lend insight into biological mechanisms underlying brain aging and indicate promising directions for improving neurological health.
2022-09-26 | GSE179236 | GEO
Project description:Aging is a major risk factor for neurodegenerative diseases that impose tremendous burdens on people and societies today. To understand trajectories of neurological aging in a primate, we generated one of the most comprehensive brain transcriptional datasets to date in a unique population of naturalistic, behaviorally phenotyped rhesus macaques. We demonstrate that age-related changes in the level and variance of gene expression are associated with neural functions and neurological diseases, including Alzheimer's disease. Further, we demonstrate that higher social status in females is associated with younger relative transcriptional ages, providing a compelling link between the social environment and aging in the brain. Our findings lend insight into biological mechanisms underlying brain aging and indicate promising directions for improving social gradients in neurological health.
2022-09-26 | GSE179328 | GEO
Project description: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 we performed a single-cell transcriptomic analysis of young and old mouse brains. We provide comprehensive datasets of aging-related genes, pathways and ligand–receptor interactions in nearly all brain cell types. Our analysis identified gene signatures that vary in a coordinated manner across cell types and gene sets that are regulated in a cell-type specific manner, even at times in opposite directions. These data reveal that aging, rather than inducing a universal program, drives a distinct transcriptional course in each cell population, and they highlight key molecular processes, including ribosome biogenesis, underlying brain aging. Overall, these large-scale datasets provide a resource for the neuroscience community that will facilitate additional discoveries directed towards understanding and modifying the aging process.
2019-07-01 | GSE129788 | GEO
Project description:As coronavirus disease 2019 (COVID-19) and aging are both accompanied by cognitive decline, we hypothesized that COVID-19 might lead to molecular signatures similar to aging. We performed whole-transcriptome analysis of the frontal cortex, a critical area for cognitive function, in individuals with COVID-19, age-matched and sex-matched uninfected controls, and uninfected individuals with intensive care unit/ventilator treatment. Our findings indicate that COVID-19 is associated with molecular signatures of brain aging and emphasize the value of neurological follow-up in recovered individuals.
2022-03-22 | GSE188847 | GEO
Project description:The retina is a light-sensitive highly-organized tissue, which is vulnerable to aging and age-related retinal diseases. However, the effects of aging on retinal cell types including those present in neural retina and retinal pigment epithelium (RPE), as well as cell types in choroid layer remain largely unknown. Here, we established the single-cell transcriptomic atlas of the retina and adjacent choroid in young and aged non-human primates (NHPs), identifying 15 cell types with distinct gene expression signatures and finding several novel markers. Our analysis reveals that oxidative stress is a major aging feature of the cells in the neural retinal layer, whereas an enhanced inflammatory response is that of RPE and choroidal cells. We also found that the RPE cell is the cell type most susceptible to aging in retina, as evidenced by the decreased cell density as well as the highest numbers of differentially expressed genes overlapping with genes underlying aging and aging-related retinal diseases, along with aberrant cell-cell interactions with its two adjacent layers. Altogether, our study provides the roadmap for understanding retinal aging in a NHP model at single-cell resolution, enabling the identification of new diagnostic biomarkers and potential therapeutic targets for age-related human retinal disorders.
2020-10-20 | GSE113917 | GEO
Project description:Single-cell transcriptomic profiling of the aging mouse brain
| PRJNA532831 | ENA
Project description:Aging is a complex process involving transcriptomic changes associated with deterioration across multiple tissues and organs, including the brain. Recent studies using heterochronic parabiosis have shown that various aspects of aging-associated decline are modifiable or even reversible. To better understand how this occurs, we performed single-cell transcriptomic profiling of young and old mouse brains following parabiosis. For each cell type, we catalogued alterations in gene expression, molecular pathways, transcriptional networks, ligand-receptor interactions, and senescence status. Our analyses identified gene signatures demonstrating that heterochronic parabiosis regulates several hallmarks of aging in a cell-type-specific manner. Brain endothelial cells were found to be especially malleable to this intervention, exhibiting dynamic transcriptional changes that affect vascular structure and function. These findings suggest novel strategies for slowing deterioration and driving regeneration in the aging brain through approaches that do not rely on disease-specific mechanisms or actions of individual circulating factors.
2023-01-14 | GSE222510 | GEO
Project description:Deciphering Primate Retinal Aging at Single-Cell Resolution
| PRJNA454464 | ENA
Project description:Photoactivatable senolysis with single-cell resolution reverses aging
| PRJNA774276 | ENA