Transcriptomics

Dataset Information

0

Aging Fly Cell Atlas Identifies Exhaustive Aging Features at Cellular Resolution


ABSTRACT: Aging is accompanied by the functional decline of all tissues, but it is still largely unknown how aging impacts different tissues in a cell type-specific manner. Here, we present the Aging Fly Cell Atlas (AFCA) that includes single-nucleus transcriptomes of the entire Drosophila head and body from both males and females at four different ages. We characterize 162 distinct cell types and present an in-depth analysis of cell type-specific aging features, including changes of cell composition, gene expression, number of expressed genes, transcriptome noise, and cell identity. By combining all aging features, including aging clock models predicting a cell’s age, we find cell-type specific aging patterns. Adipose tissues showed the highest aging score, followed by two cell types from the reproductive system. This transcriptomic atlas provides a valuable resource for the community to study fundamental principles of aging in complex organisms.

ORGANISM(S): Drosophila melanogaster

PROVIDER: GSE218661 | GEO | 2022/12/06

REPOSITORIES: GEO

Dataset's files

Source:
Action DRS
Other
Items per page:
1 - 1 of 1

Similar Datasets

| PRJNA904763 | ENA
| PRJNA549480 | ENA
2022-02-03 | GSE179442 | GEO
2022-05-20 | GSE188646 | GEO
2022-08-03 | GSE208154 | GEO
2023-03-12 | GSE202601 | GEO
2020-12-29 | GSE150580 | GEO
2019-01-21 | PXD012307 | Pride
2023-09-08 | GSE242296 | GEO
| PRJNA540933 | ENA