Network analysis identifies strain-dependent response to tau and tau seeding-associated genes

dc.contributor.authorAcri, Dominic J.
dc.contributor.authorYou, Yanwen
dc.contributor.authorTate, Mason D.
dc.contributor.authorKarahan, Hande
dc.contributor.authorMartinez, Pablo
dc.contributor.authorMcCord, Brianne
dc.contributor.authorSharify, A. Daniel
dc.contributor.authorJohn, Sutha
dc.contributor.authorKim, Byungwook
dc.contributor.authorDabin, Luke C.
dc.contributor.authorPhiltjens, Stéphanie
dc.contributor.authorWijeratne, H. R. Sagara
dc.contributor.authorMcCray, Tyler J.
dc.contributor.authorSmith, Daniel C.
dc.contributor.authorBissel, Stephanie J.
dc.contributor.authorLamb, Bruce T.
dc.contributor.authorLasagna-Reeves, Cristian A.
dc.contributor.authorKim, Jungsu
dc.contributor.departmentAnatomy, Cell Biology and Physiology, School of Medicine
dc.date.accessioned2024-02-28T13:04:06Z
dc.date.available2024-02-28T13:04:06Z
dc.date.issued2023
dc.description.abstractPrevious research demonstrated that genetic heterogeneity is a critical factor in modeling amyloid accumulation and other Alzheimer's disease phenotypes. However, it is unknown what mechanisms underlie these effects of genetic background on modeling tau aggregate-driven pathogenicity. In this study, we induced tau aggregation in wild-derived mice by expressing MAPT. To investigate the effect of genetic background on the action of tau aggregates, we performed RNA sequencing with brains of C57BL/6J, CAST/EiJ, PWK/PhJ, and WSB/EiJ mice (n = 64) and determined core transcriptional signature conserved in all genetic backgrounds and signature unique to wild-derived backgrounds. By measuring tau seeding activity using the cortex, we identified 19 key genes associated with tau seeding and amyloid response. Interestingly, microglial pathways were strongly associated with tau seeding activity in CAST/EiJ and PWK/PhJ backgrounds. Collectively, our study demonstrates that mouse genetic context affects tau-mediated alteration of transcriptome and tau seeding. The gene modules associated with tau seeding provide an important resource to better model tauopathy.
dc.eprint.versionFinal published version
dc.identifier.citationAcri DJ, You Y, Tate MD, et al. Network analysis identifies strain-dependent response to tau and tau seeding-associated genes. J Exp Med. 2023;220(11):e20230180. doi:10.1084/jem.20230180
dc.identifier.urihttps://hdl.handle.net/1805/38976
dc.language.isoen_US
dc.publisherRockefeller University Press
dc.relation.isversionof10.1084/jem.20230180
dc.relation.journalJournal of Experimental Medicine
dc.rightsAttribution 4.0 Internationalen
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.sourcePMC
dc.subjectAlzheimer disease
dc.subjectGene regulatory networks
dc.subjectTauopathies
dc.titleNetwork analysis identifies strain-dependent response to tau and tau seeding-associated genes
dc.typeArticle
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