Jessica S. Sadick;Shane A. Liddelow (2022) CIL:54440, Homo sapiens. CIL. Dataset

Pathology load assessment of de-identified, human, post-mortem Alzheimer's disease and age-matched non-symptomatic donor prefrontal cortex brain tissue. We used these imaging data to inform donor stratification when we generated a large single nuclei RNA sequencing (snRNA-seq) dataset. Given we generated both imaging and snRNA-seq datasets the same location/piece of tissue for each donor, this gives us an unprecedented platform to evaluate cell type/subpopulation transcriptomes and relate them directly to their respective tissue microenvironments.

对去标识化的人体死后阿尔茨海默病以及年龄匹配的无症状捐赠者额叶皮质脑组织的病理负荷评估。利用这些影像数据，我们在构建大型的单核RNA测序（snRNA-seq）数据集时，对捐赠者进行了分层。鉴于我们对每个捐赠者的同一部位/组织块同时生成了影像和snRNA-seq数据集，这为我们提供了一个前所未有的平台，以评估细胞类型/亚群转录组，并将其直接与其相应的组织微环境相联系。