2019
DOI: 10.1038/s41586-019-1195-2
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Single-cell transcriptomic analysis of Alzheimer’s disease

Abstract: Alzheimer’s disease (AD) is a pervasive neurodegenerative disorder, the molecular and cellular complexity of which remains poorly understood. Here, we profiled and analysed 80,660 single-nucleus transcriptomes from prefrontal cortex of 48 individuals with varying degrees of AD pathology. We identified transcriptionally-distinct subpopulations across six major brain cell-types, including those associated with pathology and characterized by regulators of myelination, inflammation, and neuron survival. The strong… Show more

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Cited by 1,875 publications
(2,868 citation statements)
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References 60 publications
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“…The number of microglia in the brain is relatively low (Keller, Ero, & Markram, ) and, as a consequence the number of microglia in total CNS tissue single cell sequencing data is also relatively low (Darmanis et al, ; Mathys et al, ). In order to enrich for microglia nuclei from frozen tissue, nuclei from neurons and oligodendrocytes were labeled with antibodies against NeuN and OLIG2 and selected against during FACS isolations.…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…The number of microglia in the brain is relatively low (Keller, Ero, & Markram, ) and, as a consequence the number of microglia in total CNS tissue single cell sequencing data is also relatively low (Darmanis et al, ; Mathys et al, ). In order to enrich for microglia nuclei from frozen tissue, nuclei from neurons and oligodendrocytes were labeled with antibodies against NeuN and OLIG2 and selected against during FACS isolations.…”
Section: Discussionmentioning
confidence: 99%
“…SnRNAseq was used to elucidate the transcriptomic changes underlying AD (Mathys et al, ). Mathys et al isolated 80,660 nuclei from 48 individuals followed by droplet‐based single‐nucleus sequencing.…”
Section: Introductionmentioning
confidence: 99%
“…Another important cell category is the microglia-macrophage-like cells important for scavenging cellular debris and protein aggregates, but when activated they also become central players in brain inflammation. With the available data from the normal unperturbed situation as a benchmark, gene expression changes related to diseases now start to be elucidated, for example, in Alzheimer's disease (AD) [11] and multiple sclerosis [12], where single-nuclei RNA sequencing technology has been used to capture transcriptomes at single-cell resolution. Thus, more than 500 molecularly distinct classes of neurons and glial cells have been identified in the mouse brain [1,2], and information about the cellular composition of specific brain regions is increasing rapidly [2][3][4][5][6][7][8].…”
Section: Introductionmentioning
confidence: 99%
“…Murine scRNA‐seq studies have advanced the characterization of OL‐lineage transcriptomic signatures, with several studies identifying intermediate states between progenitors and fully differentiated cells (Artegiani et al, ; Marques et al, ; reviewed in van Bruggen, Agirre, & Castelo‐Branco, ). Human tissue‐based studies that focus on OL‐lineage cells have applied sequencing of nuclei (snRNA‐seq) derived from postmortem tissues from adult “control” donors and individuals with clinical conditions that include MS (Jakel et al, ; Schirmer et al, ), Alzheimer's disease (Mathys et al, ), and autism (Velmeshev et al, ). However, studies of human OL‐lineage development remain limited by the availability of whole cell samples that would permit inclusion of non‐nuclear RNAs, and material that encompasses a wide age span including time of peak myelination.…”
Section: Introductionmentioning
confidence: 99%