| Literature DB >> 35531351 |
Shiva Kazempour Dehkordi1,2, Jamie Walker1, Eric Sah3, Emma Bennett3, Farzaneh Atrian2,4, Bess Frost1,2,4, Benjamin Woost5, Rachel E Bennett5, Timothy C Orr6, Yingyue Zhou7, Prabhakar S Andhey7, Marco Colonna7, Peter H Sudmant8, Peng Xu9,10,11, Minghui Wang9,10,11, Bin Zhang9,10,11,12, Habil Zare1,2, Miranda E Orr3,13.
Abstract
Senescent cells contribute to pathology and dysfunction in animal models1. Their sparse distribution and heterogenous phenotype have presented challenges for detecting them in human tissues. We developed a senescence eigengene approach to identify these rare cells within large, diverse populations of postmortem human brain cells. Eigengenes are useful when no single gene reliably captures a phenotype, like senescence; they also help to reduce noise, which is important in large transcriptomic datasets where subtle signals from low-expressing genes can be lost. Each of our eigengenes detected ~2% senescent cells from a population of ~140,000 single nuclei derived from 76 postmortem human brains with various levels of Alzheimer's disease (AD) pathology. More than 97% of the senescent cells were excitatory neurons and overlapped with tau-containing neurofibrillary tangles (NFTs). Cyclin dependent kinase inhibitor 2D (CDKN2D/p19) was predicted as the most significant contributor to the primary senescence eigengene. RNAscope and immunofluorescence confirmed its elevated expression in AD brain tissue whereby p19-expressing neurons had 1.8-fold larger nuclei and significantly more cells with lipofuscin than p19-negative neurons. These hallmark senescence phenotypes were further elevated in the presence of NFTs. Collectively, CDKN2D/p19-expressing neurons with NFTs represent a unique cellular population in human AD with a senescence phenotype. The eigengenes developed may be useful in future senescence profiling studies as they accurately identified senescent cells in snRNASeq datasets and predicted biomarkers for histological investigation.Entities:
Year: 2021 PMID: 35531351 PMCID: PMC9075501 DOI: 10.1038/s43587-021-00142-3
Source DB: PubMed Journal: Nat Aging ISSN: 2662-8465