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Profiling senescent cells in human brains reveals neurons with CDKN2D/p19 and tau neuropathology

仿形(计算机编程) 神经科学 神经病理学 生物 病理 计算机科学 疾病 医学 操作系统
作者
Shiva Kazempour Dehkordi,Jamie M. Walker,Eric Sah,Emma Bennett,Farzaneh Atrian,Bess Frost,Benjamin Woost,Rachel E. Bennett,Timothy C. Orr,Yingyue Zhou,Prabhakar S. Andhey,Marco Colonna,Peter H. Sudmant,Peng Xu,Minghui Wang,Bin Zhang,Habil Zare,Miranda E. Orr
出处
期刊:Nature Aging 卷期号:1 (12): 1107-1116 被引量:82
标识
DOI:10.1038/s43587-021-00142-3
摘要

Senescent cells contribute to pathology and dysfunction in animal models1. Their sparse distribution and heterogenous phenotype have presented challenges to their detection 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 neurons containing neurofibrillary tangle (NFT) tau pathology. 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. The p19-expressing neuron population 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-like phenotype. The eigengenes developed may be useful in future senescence profiling studies as they identified senescent cells accurately in snRNA-Seq datasets and predicted biomarkers for histological investigation. Using a new computational approach to identify senescent cells from single-cell transcriptomic data, the authors find that most senescent cells in the human brain are excitatory neurons with elevated CDKN2D/p19 expression, which often display Alzheimer's disease-associated tau pathology.
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