Tau polarizes an aging transcriptional signature to excitatory neurons and glia
Abstract
Aging is a major risk factor for Alzheimer’s disease (AD), and cell-type vulnerability underlies its characteristic clinical manifestations. We have performed longitudinal, single-cell RNA-sequencing in Drosophila with pan-neuronal expression of human tau, which forms AD neurofibrillary tangle pathology. Whereas tau- and aging-induced gene expression strongly overlap (93%), they differ in the affected cell types. In contrast to the broad impact of aging, tau-triggered changes are strongly polarized to excitatory neurons and glia. Further, tau can either activate or suppress innate immune gene expression signatures in a cell type-specific manner. Integration of cellular abundance and gene expression pinpoints Nuclear Factor Kappa B signaling in neurons as a marker for cellular vulnerability. We also highlight the conservation of cell type-specific transcriptional patterns between Drosophila and human postmortem brain tissue. Overall, our results create a resource for dissection of dynamic, age-dependent gene expression changes at cellular resolution in a genetically tractable model of tauopathy.
Data availability
All original single cell sequencing data have been uploaded to the Accelerating Medicines Parternship (AMP)-AD Knowledge Portal on Synapse and can be accessed through the DOI: https://doi.org/10.7303/syn35798807.1.
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The Single-cell transcriptomic analysis of Alzheimer's disease (snRNAseqPFC_BA10) StudyAD Knowledge Portal: syn2580853.
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A single-cell transcriptome atlas of the ageing Drosophila brainNCBI Gene Expression Omnibus, GSE107451.
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Neuronal diversity and convergence in a visual system developmental atlasNCBI Gene Expression Omnibus, GSE142789.
Article and author information
Author details
Funding
National Institute on Aging (R01AG057339)
- Zhandong Liu
- Juan Botas
- Joshua M Shulman
Huffington Foundation
- Zhandong Liu
- Juan Botas
- Joshua M Shulman
McGee Family Foundation
- Joshua M Shulman
Duncan Neurological Research Institute
- Zhandong Liu
- Ismael Al-Ramahi
- Juan Botas
- Joshua M Shulman
Effie Marie Caine Endowed Chair for Alzheimer's Research
- Joshua M Shulman
National Institute on Aging (R01AG053960)
- Joshua M Shulman
National Institute on Aging (U01AG061357)
- Joshua M Shulman
National Institute on Aging (U01AG046161)
- Joshua M Shulman
Eunice Kennedy Shriver National Institute of Child Health and Human Development (P50HD103555)
- Joshua M Shulman
National Institutes of Health (S10OD023469)
- Joshua M Shulman
National Institutes of Health (S10OD025240)
- Joshua M Shulman
Cancer Prevention and Research Institute of Texas (RP200504)
- Joshua M Shulman
Parkinson's Foundation (PF-PRF-830012)
- Hui Ye
The funders had no role in study design, data collection and interpretation, or the decision to submit the work for publication.
Copyright
© 2023, Wu et al.
This article is distributed under the terms of the Creative Commons Attribution License permitting unrestricted use and redistribution provided that the original author and source are credited.
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Further reading
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Enhancers and promoters are classically considered to be bound by a small set of transcription factors (TFs) in a sequence-specific manner. This assumption has come under increasing skepticism as the datasets of ChIP-seq assays of TFs have expanded. In particular, high-occupancy target (HOT) loci attract hundreds of TFs with often no detectable correlation between ChIP-seq peaks and DNA-binding motif presence. Here, we used a set of 1003 TF ChIP-seq datasets (HepG2, K562, H1) to analyze the patterns of ChIP-seq peak co-occurrence in combination with functional genomics datasets. We identified 43,891 HOT loci forming at the promoter (53%) and enhancer (47%) regions. HOT promoters regulate housekeeping genes, whereas HOT enhancers are involved in tissue-specific process regulation. HOT loci form the foundation of human super-enhancers and evolve under strong negative selection, with some of these loci being located in ultraconserved regions. Sequence-based classification analysis of HOT loci suggested that their formation is driven by the sequence features, and the density of mapped ChIP-seq peaks across TF-bound loci correlates with sequence features and the expression level of flanking genes. Based on the affinities to bind to promoters and enhancers we detected five distinct clusters of TFs that form the core of the HOT loci. We report an abundance of HOT loci in the human genome and a commitment of 51% of all TF ChIP-seq binding events to HOT locus formation thus challenging the classical model of enhancer activity and propose a model of HOT locus formation based on the existence of large transcriptional condensates.