Spatial differences in gene expression across the dorsal raphe nucleus in a model of early Alzheimer's disease

早期阿尔茨海默病模型中背侧缝核基因表达的空间差异

阅读:2

Abstract

BACKGROUND: Persons with Alzheimer's disease (AD) present with changes in mood, sleep, and arousal that may precede the clinical manifestation of cognitive decline. These early symptoms can be driven by changes in the serotonergic (5-HT) nuclei of the brainstem, particularly the dorsal raphe nucleus (DRN). It is unclear why all 5-HT neurons do not simultaneously develop AD pathology that progresses at the same rate. OBJECTIVE: We sought to identify any underlying genetic components associated with susceptibility or resistance of 5-HT neurons to AD pathology. METHODS: The Visium Spatial Gene Expression platform was used to identify transcriptomic changes across the DRN in a preclinical model of early AD, human tau-overexpressing mice (htau mice). We further used RNAscope and immunohistochemical assessment to validate findings of primary interest. RESULTS: We find that the DRN of htau mice differentially expresses AD-related genes, including those related to kinase binding, ion channel activity, ligand-receptor interactions, and regulation of serine/threonine kinases. We further find that computational sub-clustering of the DRN is consistent with previous circuitry-driven characterizations, allowing for spatial bounding of distinct subregions within the DRN. Of these, we find the dorsolateral DRN is preferentially impacted by 5-HT neuron loss and development of tau pathology, which coincides with increased expression of the long noncoding RNA Map2k3os. CONCLUSIONS: Map2k3os may serve regulatory roles relevant for tau phosphorylation and warrants further investigation to characterize its interactions. Overall, this report demonstrates the power of large-scale spatial transcriptomics technologies, while underscoring the need for convergent-data validation to overcome their limitations.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。