神经病理学
海马结构
海马体
转录组
神经科学
疾病
生物
人脑
基因
表型
脆弱性(计算)
基因表达
阿尔茨海默病
遗传学
医学
病理
计算机安全
计算机科学
作者
Angela M. Crist,Kelly M. Hinkle,Xue Wang,Christina M. Moloney,Billie J. Matchett,Sydney A. Labuzan,Isabelle Frankenhauser,Nkem O. Azu,Amanda M. Liesinger,Elizabeth R. Lesser,Daniel Serie,Zachary Quicksall,Tulsi Patel,Troy Carnwath,Michael DeTure,Xiaojia Tang,Ronald C. Petersen,Ranjan Duara,Neill R. Graff‐Radford,Mariet Allen
标识
DOI:10.1038/s41467-021-22399-3
摘要
Abstract Selective vulnerability of different brain regions is seen in many neurodegenerative disorders. The hippocampus and cortex are selectively vulnerable in Alzheimer’s disease (AD), however the degree of involvement of the different brain regions differs among patients. We classified corticolimbic patterns of neurofibrillary tangles in postmortem tissue to capture extreme and representative phenotypes. We combined bulk RNA sequencing with digital pathology to examine hippocampal vulnerability in AD. We identified hippocampal gene expression changes associated with hippocampal vulnerability and used machine learning to identify genes that were associated with AD neuropathology, including SERPINA5 , RYBP , SLC38A2 , FEM1B , and PYDC1 . Further histologic and biochemical analyses suggested SERPINA5 expression is associated with tau expression in the brain. Our study highlights the importance of embracing heterogeneity of the human brain in disease to identify disease-relevant gene expression.
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