4.6 Article

Integrated analysis of the aging brain transcriptome and proteome in tauopathy

Journal

MOLECULAR NEURODEGENERATION
Volume 15, Issue 1, Pages -

Publisher

BMC
DOI: 10.1186/s13024-020-00405-4

Keywords

MAPT; Tau; Alzheimer's disease; Transcriptome; Proteome; Inflammation; Innate immunity

Categories

Funding

  1. NIH [R01AG053960, R01AG050631, R01AG057339, U01AG061357, U01AG046161, R01AG057911, R01AG061800, RF1AG057471, RF1AG057470]
  2. Cullen Foundation
  3. Baylor College of Medicine Medical Scientist Training Program (MSTP)
  4. Cancer Prevention Research Institute of Texas [RP170387]
  5. Houston Endowment
  6. Huffington Foundation
  7. Belfer Neurodegenerative Disease Consortium
  8. Jan and Dan Duncan Neurological Research Institute at Texas Children's Hospital
  9. Burroughs Wellcome Fund
  10. NATIONAL INSTITUTE ON AGING [F31AG067677] Funding Source: NIH RePORTER

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Background: Tau neurofibrillary tangle pathology characterizes Alzheimer's disease and other neurodegenerative tauopathies. Brain gene expression profiles can reveal mechanisms; however, few studies have systematically examined both the transcriptome and proteome or differentiated Tau- versus age-dependent changes. Methods: Paired, longitudinal RNA-sequencing and mass-spectrometry were performed in aDrosophilamodel of tauopathy, based on pan-neuronal expression of human wildtype Tau (Tau(WT)) or a mutant form causing frontotemporal dementia (Tau(R406W)). Tau-induced, differentially expressed transcripts and proteins were examined cross-sectionally or using linear regression and adjusting for age. Hierarchical clustering was performed to highlight network perturbations, and we examined overlaps with human brain gene expression profiles in tauopathy. Results: Tau(WT)induced 1514 and 213 differentially expressed transcripts and proteins, respectively. Tau(R406W)had a substantially greater impact, causing changes in 5494 transcripts and 697 proteins. There was a similar to 70% overlap between age- and Tau-induced changes and our analyses reveal pervasive bi-directional interactions. Strikingly, 42% of Tau-induced transcripts were discordant in the proteome, showing opposite direction of change. Tau-responsive gene expression networks strongly implicate innate immune activation. Cross-species analyses pinpoint human brain gene perturbations specifically triggered by Tau pathology and/or aging, and further differentiate between disease amplifying and protective changes. Conclusions: Our results comprise a powerful, cross-species functional genomics resource for tauopathy, revealing Tau-mediated disruption of gene expression, including dynamic, age-dependent interactions between the brain transcriptome and proteome.

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