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Differential gene expression data from the human central nervous system across Alzheimer's disease, Lewy body diseases, and the amyotrophic lateral sclerosis and frontotemporal dementia spectrum.
Noori, Ayush; Mezlini, Aziz M; Hyman, Bradley T; Serrano-Pozo, Alberto; Das, Sudeshna.
Afiliação
  • Noori A; Harvard College, Cambridge, MA 02138, United States of America.
  • Mezlini AM; Department of Neurology, Massachusetts General Hospital, Boston, MA 02114, United States of America.
  • Hyman BT; MIND Data Science Lab, Cambridge, MA 02139, United States of America.
  • Serrano-Pozo A; MassGeneral Institute for Neurodegenerative Disease, Charlestown, MA 02129, United States of America.
  • Das S; Department of Neurology, Massachusetts General Hospital, Boston, MA 02114, United States of America.
Data Brief ; 35: 106863, 2021 Apr.
Article em En | MEDLINE | ID: mdl-33665258
ABSTRACT
In Noori et al. [1], we hypothesized that there is a shared gene expression signature underlying neurodegenerative proteinopathies including Alzheimer's disease (AD), Lewy body diseases (LBD), and the amyotrophic lateral sclerosis and frontotemporal dementia (ALS-FTD) spectrum. To test this hypothesis, we performed a systematic review and meta-analysis of 60 human central nervous system transcriptomic datasets in the public Gene Expression Omnibus and ArrayExpress repositories, comprising a total of 2,600 AD, LBD, and ALS-FTD patients and age-matched controls which passed our stringent quality control pipeline. Here, we provide the results of differential expression analyses with data quality reports for each of these 60 datasets. This atlas of differential expression across AD, LBD, and ALS-FTD may guide future work to elucidate the pathophysiological drivers of these individual diseases as well as the common substrate of neurodegeneration.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Data Brief Ano de publicação: 2021 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Data Brief Ano de publicação: 2021 Tipo de documento: Article