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dc.contributor.authorPardo, Luba M.
dc.contributor.authorRizzu, Patrizia
dc.contributor.authorFrancescatto, Margherita
dc.contributor.authorVitezic, Morana
dc.contributor.authorLeday, Gwenaël G.R.
dc.contributor.authorSanchez, Javier Simon
dc.contributor.authorKhamis, Abdullah M.
dc.contributor.authorTakahashi, Hazuki
dc.contributor.authorvan de Berg, Wilma D.J.
dc.contributor.authorMedvedeva, Yulia
dc.contributor.authorvan de Wiel, Mark A.
dc.contributor.authorDaub, Carsten O.
dc.contributor.authorCarninci, Piero
dc.contributor.authorHeutink, Peter
dc.date.accessioned2015-05-06T13:16:59Z
dc.date.available2015-05-06T13:16:59Z
dc.date.issued2013-02-19
dc.identifier.citationRegional differences in gene expression and promoter usage in aged human brains 2013, 34 (7):1825 Neurobiology of Aging
dc.identifier.issn01974580
dc.identifier.doi10.1016/j.neurobiolaging.2013.01.005
dc.identifier.urihttp://hdl.handle.net/10754/552356
dc.description.abstractTo characterize the promoterome of caudate and putamen regions (striatum), frontal and temporal cortices, and hippocampi from aged human brains, we used high-throughput cap analysis of gene expression to profile the transcription start sites and to quantify the differences in gene expression across the 5 brain regions. We also analyzed the extent to which methylation influenced the observed expression profiles. We sequenced more than 71 million cap analysis of gene expression tags corresponding to 70,202 promoter regions and 16,888 genes. More than 7000 transcripts were differentially expressed, mainly because of differential alternative promoter usage. Unexpectedly, 7% of differentially expressed genes were neurodevelopmental transcription factors. Functional pathway analysis on the differentially expressed genes revealed an overrepresentation of several signaling pathways (e.g., fibroblast growth factor and wnt signaling) in hippocampus and striatum. We also found that although 73% of methylation signals mapped within genes, the influence of methylation on the expression profile was small. Our study underscores alternative promoter usage as an important mechanism for determining the regional differences in gene expression at old age.
dc.publisherElsevier BV
dc.relation.urlhttp://linkinghub.elsevier.com/retrieve/pii/S0197458013000237
dc.rightsArchived with thanks to Neurobiology of Aging. http://www.elsevier.com/open-access/userlicense/1.0/
dc.subjectCAGE
dc.subjectBrain transcriptome
dc.subjectAging
dc.titleRegional differences in gene expression and promoter usage in aged human brains
dc.typeArticle
dc.contributor.departmentComputational Bioscience Research Center (CBRC)
dc.contributor.departmentComputer Science Program
dc.identifier.journalNeurobiology of Aging
dc.eprint.versionPublisher's Version/PDF
dc.contributor.institutionSection Medical Genomics, Department of Clinical Genetics, VU University Medical Center, Amsterdam, The Netherlands
dc.contributor.institutionGABBA Program, Instituto de Ciências Biomédicas Abel Salazar, UP, Porto, Portugal
dc.contributor.institutionRIKEN Omics Science Center, RIKEN Yokohama Institute, Yokohama, Japan
dc.contributor.institutionDepartment of Cell and Molecular Biology (CMB), Karolinska Institute, Stockholm, Sweden
dc.contributor.institutionDepartment of Mathematics, VU University, Amsterdam, The Netherlands
kaust.personMedvedeva, Yulia
kaust.personKhamis, Abdullah M.
refterms.dateFOA2018-06-14T06:12:09Z
dc.date.published-online2013-02-19
dc.date.published-print2013-07


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