Single-cell and spatial detection of senescent cells using DeepScence.

ABSTRACT: Accurately identifying senescent cells is essential for studying their spatial and molecular features. We developed DeepScence, a method based on deep neural networks, to identify senescent cells in single-cell and spatial transcriptomics data. DeepScence is based on CoreScence, a senescence-associated gene set we curated that incorporates information from multiple published gene sets. We demonstrate that DeepScence can accurately identify senescent cells in single-cell gene expression data collected both in vitro and in vivo, as well as in spatial transcriptomics data generated by different platforms, substantially outperforming existing methods.

SUBMITTER: Qu Y 

PROVIDER: S-EPMC10690237 | biostudies-literature | 2025 Apr

REPOSITORIES: biostudies-literature