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Single-cell transcriptomic analysis of Alzheimer's disease.
Mathys, Hansruedi; Davila-Velderrain, Jose; Peng, Zhuyu; Gao, Fan; Mohammadi, Shahin; Young, Jennie Z; Menon, Madhvi; He, Liang; Abdurrob, Fatema; Jiang, Xueqiao; Martorell, Anthony J; Ransohoff, Richard M; Hafler, Brian P; Bennett, David A; Kellis, Manolis; Tsai, Li-Huei.
Afiliação
  • Mathys H; Picower Institute for Learning and Memory, Massachusetts Institute of Technology, Cambridge, MA, USA.
  • Davila-Velderrain J; Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA, USA.
  • Peng Z; MIT Computer Science and Artificial Intelligence Laboratory, Cambridge, MA, USA.
  • Gao F; Broad Institute of MIT and Harvard, Cambridge, MA, USA.
  • Mohammadi S; Picower Institute for Learning and Memory, Massachusetts Institute of Technology, Cambridge, MA, USA.
  • Young JZ; Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA, USA.
  • Menon M; Picower Institute for Learning and Memory, Massachusetts Institute of Technology, Cambridge, MA, USA.
  • He L; Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA, USA.
  • Abdurrob F; MIT Computer Science and Artificial Intelligence Laboratory, Cambridge, MA, USA.
  • Jiang X; Broad Institute of MIT and Harvard, Cambridge, MA, USA.
  • Martorell AJ; Picower Institute for Learning and Memory, Massachusetts Institute of Technology, Cambridge, MA, USA.
  • Ransohoff RM; Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA, USA.
  • Hafler BP; Broad Institute of MIT and Harvard, Cambridge, MA, USA.
  • Bennett DA; Department of Neurology, Harvard Medical School, Boston, MA, USA.
  • Kellis M; Evergrande Center for Immunologic Diseases, Harvard Medical School, Boston, MA, USA.
  • Tsai LH; MIT Computer Science and Artificial Intelligence Laboratory, Cambridge, MA, USA.
Nature ; 570(7761): 332-337, 2019 06.
Article em En | MEDLINE | ID: mdl-31042697
ABSTRACT
Alzheimer's disease is a pervasive neurodegenerative disorder, the molecular complexity of which remains poorly understood. Here, we analysed 80,660 single-nucleus transcriptomes from the prefrontal cortex of 48 individuals with varying degrees of Alzheimer's disease pathology. Across six major brain cell types, we identified transcriptionally distinct subpopulations, including those associated with pathology and characterized by regulators of myelination, inflammation, and neuron survival. The strongest disease-associated changes appeared early in pathological progression and were highly cell-type specific, whereas genes upregulated at late stages were common across cell types and primarily involved in the global stress response. Notably, we found that female cells were overrepresented in disease-associated subpopulations, and that transcriptional responses were substantially different between sexes in several cell types, including oligodendrocytes. Overall, myelination-related processes were recurrently perturbed in multiple cell types, suggesting that myelination has a key role in Alzheimer's disease pathophysiology. Our single-cell transcriptomic resource provides a blueprint for interrogating the molecular and cellular basis of Alzheimer's disease.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Análise de Célula Única / Doença de Alzheimer / Transcriptoma Tipo de estudo: Prognostic_studies Limite: Female / Humans / Male Idioma: En Revista: Nature Ano de publicação: 2019 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Análise de Célula Única / Doença de Alzheimer / Transcriptoma Tipo de estudo: Prognostic_studies Limite: Female / Humans / Male Idioma: En Revista: Nature Ano de publicação: 2019 Tipo de documento: Article