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dc.date.accessioned2021-10-27T20:30:14Z
dc.date.available2021-10-27T20:30:14Z
dc.date.issued2020
dc.identifier.urihttps://hdl.handle.net/1721.1/135985
dc.description.abstract© 2020 The Authors We present a consensus atlas of the human brain transcriptome in Alzheimer's disease (AD), based on meta-analysis of differential gene expression in 2,114 postmortem samples. We discover 30 brain coexpression modules from seven regions as the major source of AD transcriptional perturbations. We next examine overlap with 251 brain differentially expressed gene sets from mouse models of AD and other neurodegenerative disorders. Human-mouse overlaps highlight responses to amyloid versus tau pathology and reveal age- and sex-dependent expression signatures for disease progression. Human coexpression modules enriched for neuronal and/or microglial genes broadly overlap with mouse models of AD, Huntington's disease, amyotrophic lateral sclerosis, and aging. Other human coexpression modules, including those implicated in proteostasis, are not activated in AD models but rather following other, unexpected genetic manipulations. Our results comprise a cross-species resource, highlighting transcriptional networks altered by human brain pathophysiology and identifying correspondences with mouse models for AD preclinical studies.
dc.language.isoen
dc.publisherElsevier BV
dc.relation.isversionof10.1016/J.CELREP.2020.107908
dc.rightsCreative Commons Attribution 4.0 International license
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.sourceElsevier
dc.titleMeta-Analysis of the Alzheimer’s Disease Human Brain Transcriptome and Functional Dissection in Mouse Models
dc.typeArticle
dc.relation.journalCell Reports
dc.eprint.versionFinal published version
dc.type.urihttp://purl.org/eprint/type/JournalArticle
eprint.statushttp://purl.org/eprint/status/PeerReviewed
dc.date.updated2021-03-22T18:43:49Z
dspace.orderedauthorsWan, Y-W; Al-Ouran, R; Mangleburg, CG; Perumal, TM; Lee, TV; Allison, K; Swarup, V; Funk, CC; Gaiteri, C; Allen, M; Wang, M; Neuner, SM; Kaczorowski, CC; Philip, VM; Howell, GR; Martini-Stoica, H; Zheng, H; Mei, H; Zhong, X; Kim, JW; Dawson, VL; Dawson, TM; Pao, P-C; Tsai, L-H; Haure-Mirande, J-V; Ehrlich, ME; Chakrabarty, P; Levites, Y; Wang, X; Dammer, EB; Srivastava, G; Mukherjee, S; Sieberts, SK; Omberg, L; Dang, KD; Eddy, JA; Snyder, P; Chae, Y; Amberkar, S; Wei, W; Hide, W; Preuss, C; Ergun, A; Ebert, PJ; Airey, DC; Mostafavi, S; Yu, L; Klein, H-U; Carter, GW; Collier, DA; Golde, TE; Levey, AI; Bennett, DA; Estrada, K; Townsend, TM; Zhang, B; Schadt, E; De Jager, PL; Price, ND; Ertekin-Taner, N; Liu, Z; Shulman, JM; Mangravite, LM; Logsdon, BA
dspace.date.submission2021-03-22T18:43:56Z
mit.journal.volume32
mit.journal.issue2
mit.licensePUBLISHER_CC
mit.metadata.statusAuthority Work and Publication Information Needed


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