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Meta-Analysis of the Alzheimer's Disease Human Brain Transcriptome and Functional Dissection in Mouse Models

Title: Meta-Analysis of the Alzheimer's Disease Human Brain Transcriptome and Functional Dissection in Mouse Models
Authors: Wan, YW; 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, PC; Tsai, LH; Haure-Mirande, JV; 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, HU; 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
Publisher Information: Elsevier
Publication Year: 2023
Collection: University of Michigan: Deep Blue
Subject Terms: Alzheimer's disease; RNA-seq; aging; coexpression analysis; differential expression analysis; meta-analysis; mouse models; neuroinflammation; transcriptome; Alzheimer Disease; Animals; Brain; Case-Control Studies; Disease Models; Animal; Female; Gene Expression Profiling; Gene Expression Regulation; Gene Regulatory Networks; Humans; Male; Mice; Sex Characteristics; Species Specificity; Transcription; Genetic
Subject Geographic: United States
Description: 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. ; http://deepblue.lib.umich.edu/bitstream/2027.42/177526/2/Meta-Analysis of the Alzheimers Disease Human Brain Transcriptome and Functional Dissection in Mouse Models.pdf ; Published version
Document Type: article in journal/newspaper
File Description: Print; application/pdf
Language: English
Relation: ARTN 107908; https://www.ncbi.nlm.nih.gov/pubmed/32668255; https://hdl.handle.net/2027.42/177526; https://dx.doi.org/10.7302/8080; Cell Reports; 32; 107908; Wan, YW; Mangleburg, CG; Perumal, TM; Lee, TV; Allison, K; Swarup, V; Funk, CC; Gaiteri, C; Allen, M; Wang, M; Neuner, SM; Philip, VM; Howell, GR; Zheng, H; Mei, H; Zhong, X; Kim, JW; Dawson, VL; Dawson, TM; Pao, PC; Tsai, LH; Ehrlich, ME; Chakrabarty, P; Levites, Y; Wang, X; Srivastava, G; Sieberts, SK; Chae, Y; Hide, W; Preuss, C; Ergun, A; Ebert, PJ; Airey, DC; Mostafavi, S; Yu, L; Klein, HU; Collier, DA; Golde, TE; Levey, AI; Bennett, DA; Estrada, K; Townsend, TM; Zhang, B; Schadt, E; De Jager, PL; Price, ND; Liu, Z; Shulman, JM; Mangravite, LM; Logsdon, BA
DOI: 10.1016/j.celrep.2020.107908
DOI: 10.7302/8080
Availability: https://hdl.handle.net/2027.42/177526; https://www.ncbi.nlm.nih.gov/pubmed/32668255; https://doi.org/10.1016/j.celrep.2020.107908; https://doi.org/10.7302/8080
Rights: Licence for published version: Creative Commons Attribution 4.0 International ; http://creativecommons.org/licenses/by/4.0/
Accession Number: edsbas.4BE0705C
Database: BASE