2019
DOI: 10.1038/s41593-019-0539-4
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A single-cell atlas of entorhinal cortex from individuals with Alzheimer’s disease reveals cell-type-specific gene expression regulation

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Cited by 632 publications
(803 citation statements)
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“…Our analysis yielded 24,735 brain nuclei profiles and provide a resource to better understand the complex cellular interactions and gene expression profiles that may contribute to the pathogenesis of CTE. Similar to previous reports using snRNA-seq in other neurological diseases, including Alzheimer's disease (AD), multiple sclerosis (MS), autism spectrum disorder (ASD), and epilepsy (Mathys et al 2019;Grubman et al 2019;Jäkel et al 2019;Schirmer et al 2019;Velmeshev et al 2019), our findings indicate changes in cell types, subpopulations, and gene expression in CTE. Our findings are the first report of molecular and cellular changes at single nucleus resolution in CTE.…”
Section: Introductionsupporting
confidence: 90%
See 1 more Smart Citation
“…Our analysis yielded 24,735 brain nuclei profiles and provide a resource to better understand the complex cellular interactions and gene expression profiles that may contribute to the pathogenesis of CTE. Similar to previous reports using snRNA-seq in other neurological diseases, including Alzheimer's disease (AD), multiple sclerosis (MS), autism spectrum disorder (ASD), and epilepsy (Mathys et al 2019;Grubman et al 2019;Jäkel et al 2019;Schirmer et al 2019;Velmeshev et al 2019), our findings indicate changes in cell types, subpopulations, and gene expression in CTE. Our findings are the first report of molecular and cellular changes at single nucleus resolution in CTE.…”
Section: Introductionsupporting
confidence: 90%
“…High-throughput single cell resolution genomics is an ideal tool for assessing the complexity of human brain diseases (Mathys et al 2019;Jäkel et al 2019;Velmeshev et al 2019;Grubman et al 2019;Nagy et al 2020). To better understand the pathobiology of white matter alterations in CTE, we performed a single nucleus RNA-seq (Habib et al 2017) (snRNAseq) analysis of dorsolateral frontal white matter in subjects with neuropathologically confirmed CTE and compared the results to age-matched controls.…”
Section: Introductionmentioning
confidence: 99%
“…It is also important to note that both sequencing studies previously mentioned utilized different mouse lines to identify OPCs than the PDGFRα-Cre ER ; R26-EYFP used in this study, which may have also contributed to the difference between our dataset and the previous observations of a homogenous population of OPCs. Excitingly, recent sequencing data from human Alzheimer's disease patients and healthy controls demonstrated that healthy controls have three subpopulations of OPCs, and that one of these populations expressed high levels of Clusterin, one of the genes we identified as significantly upregulated in OPC1 59 . Additionally, single-cell sequencing data from human patients at fetal, adolescent, and adult timepoints reveal multiple transcriptionally distinct populations of oligo-lineage cells that largely clustered based on the age of the patient 60 .…”
Section: Discussionmentioning
confidence: 89%
“…While we describe the transcriptional profile of OPCs during homeostasis, it is important to note that understanding the role of OPCs in the healthy brain will provide a necessary foundation for examining any protective or detrimental novel functions in desease pathology. Previous work has demonstrated that OPCs exhibit significant transcriptional heterogeneity and disease-associated signatures in models of multiple sclerosis and cerebral ischemia, and showed significant transcriptional changes in human Alzheimer's disease patients 18,59,76 .…”
Section: Discussionmentioning
confidence: 99%
“…In single-cell studies, pathway activation analysis has become a powerful approach for extracting biologically relevant signatures to uncover the potential mechanisms of cell heterogeneity and dysfunction in human diseases (8,9). For example, the pathway signatures exhibit the significant activation difference in breast cancer (10) and Alzheimer's disease cells (11) using gene set enrichment analysis. However, there is a lack of online web server for the comprehensive analysis and visualization of single-cell transcriptome data based on prior biological pathway knowledge.…”
Section: Introductionmentioning
confidence: 99%