Wang Qi, Antone Jerry, Alsop Eric, Reiman Rebecca, Funk Cory, Bendl Jaroslav, Dudley Joel T, Liang Winnie S, Karr Timothy L, Roussos Panos, Bennett David A, De Jager Philip L, Serrano Geidy E, Beach Thomas G, Keuren-Jensen Kendall Van, Mastroeni Diego, Reiman Eric M, Readhead Benjamin P
bioRxiv. 2023 Oct 24:2023.10.20.563319. doi: 10.1101/2023.10.20.563319.
The emergence of technologies that can support high-throughput profiling of single cell transcriptomes offers to revolutionize the study of brain tissue from persons with and without Alzheimer's disease (AD). Integration of these data with additional complementary multiomics data such as genetics, proteomics and clinical data provides powerful opportunities to link observed cell subpopulations and molecular network features within a broader disease-relevant context. We report here single nucleus RNA sequencing (snRNA-seq) profiles generated from superior frontal gyrus cortical tissue samples from 101 exceptionally well characterized, aged subjects from the Banner Brain and Body Donation Program in combination with whole genome sequences. We report findings that link common AD risk variants with expression in oligodendrocytes as well as alterations in peripheral hematological lab parameters, with these observations replicated in an independent, prospective cohort study of ageing and dementia. We also observed an AD-associated CD83(+) microglial subtype with unique molecular networks that encompass many known regulators of AD-relevant microglial biology, and which are associated with immunoglobulin IgG4 production in the transverse colon. These findings illustrate the power of multi-tissue molecular profiling to contextualize snRNA-seq brain transcriptomics and reveal novel disease biology. The transcriptomic, genetic, phenotypic, and network data resources described within this study are available for access and utilization by the scientific community.
能够支持单细胞转录组高通量分析的技术的出现,有望彻底改变对患有和未患有阿尔茨海默病(AD)的人的脑组织的研究。将这些数据与其他互补的多组学数据(如遗传学、蛋白质组学和临床数据)整合,为在更广泛的疾病相关背景下将观察到的细胞亚群与分子网络特征联系起来提供了强大的机会。我们在此报告了从Banner大脑与身体捐赠计划中101名特征明确的老年受试者的额上回皮质组织样本中生成的单核RNA测序(snRNA-seq)图谱,并结合了全基因组序列。我们报告的研究结果将常见的AD风险变异与少突胶质细胞中的表达以及外周血液学实验室参数的改变联系起来,这些观察结果在一项关于衰老和痴呆的独立前瞻性队列研究中得到了重复验证。我们还观察到一种与AD相关的CD83(+)小胶质细胞亚型,其具有独特的分子网络,该网络包含许多已知的与AD相关的小胶质细胞生物学调节因子,并且与横结肠中的免疫球蛋白IgG4产生有关。这些发现说明了多组织分子分析在将snRNA-seq脑转录组学置于背景中并揭示新的疾病生物学方面的力量。本研究中描述的转录组学、遗传学、表型和网络数据资源可供科学界访问和利用。