Single-cell Epigenetics of Tau Dementia | Part 3: Exploring Disease-enriched Glial States, Disease-Reactive Microglia and Astrocytes, and Genetic Heritability | Epigenome Technologies

By Stuart P. Atkinson

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Diversity and heterogeneity of cellular subtypes in human brain of tauopathies. (A-C) UMAP embedding of subclusters of astrocytes (A), with a heatmap of gene score matrix labeled by log2fc > 1 for marker gene scores (B) and enriched functional terms associated with these marker genes (C). ASC, astrocytes. (D-F) Similar analyses for microglia subclusters. MG, microglia

Understanding Tauopathies Through Single-cell Epigenetic and Transcriptomic Analyses

The Epigenome Technologies Blog brings you the final part of a three-part summary of a recent single-cell epigenetics preprint article from researchers led by Jessica E. Rexach (University of California, Los Angeles), who sought to define cell-type-specific cis-regulatory elements (CREs) via chromatin accessibility (snATAC-seq) and gene expression (snRNA-seq) analysis in single nuclei across 6 cell types and 50 subclasses in samples from brain regions with distinct vulnerabilities in Alzheimers disease (AD), Picks disease (PiD), and progressive supranuclear palsy (PSP) patients to understand the regulatory circuitry of non-coding genetic variants underlying risk-associated cell states (Han et al.).

The authors provide a cross-disorder atlas linking gene regulation, chromatin dynamics, and cellular functions across tau-related disorders to highlight disorder-specific glial states of differential resilience. In doing so, they enhance our understanding of disease regulatory circuits by uncovering epigenomic dynamics and mapping genetic variants to their target through CREs, prioritize genes for validation to inform causal mechanisms and therapeutic strategies by identifying molecular targets linked to polygenic disease risk, enhance our understanding of glial contributions to tauopathies at the single-cell level, and underscore the importance of cross-disorder, cell-specific chromatin profiling in brain regions with moderate pathology.

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Diversity and heterogeneity of cellular subtypes in human brain of tauopathies. (G) Gene signatures of astrocyte subclusters (top) and microglia subclusters (bottom), defined by marker gene scores compared within each respective cell type. (H) RNAscope ISH for SOX10 combined with GFAP IHC in human insular tissue from a PSP patient. Representative images show co-localization of SOX10 mRNA and GFAP in a subset of astrocytes (Scale bar: 10 µm). (I) Boxplots displaying the relative abundance of insula ast.C1 (top) and mg.C4 (bottom) across conditions. Changes in cell composition among disease and control groups are modeled using linear regression computed by Limma, adjusted for age and post-mortem interval. *P<0.05. (J) Example tracks showing marker peaks for genes PLP1, SOT1l in mg.C4; RIN3 and TREM2 in mg.C13 and mg.C6; CD48 in mg.C9 and mg.C6; and LGALS3 in mg.C7 and mg.C14. (K) Example tracks showing marker peaks for genes CNTN2, KLK6, and PLP1 in ast.C1; HLADMB in ast.C3; and GFAP in multiple astrocyte subclusters.

Exploring Disease-enriched Glial States, Disease-Reactive Microglia and Astrocytes, and Genetic Heritability

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Integrated analysis of accessibility changes, gene activity, GWAS heritability partition, epigenomic stability, and cell-cell interactions identifies disease-associated glia subtypes. (A) PSP-associated chromatin accessibility changes in astrocytes. Bar plots (left) show the number of differentially accessible CREs in PSP across astrocyte subclusters, categorized by upand down-regulation. The right panel shows partitioned disease heritability of dynamic peaks in ast.C1 and ast.C10 (right), displaying LDSC standardized effect size (). FDR *< 0.05; ** <0.005; *** < 0.001. (B) Differentially activated TFs in astrocytes and ast.C1.

Do Variable Disease-enriched Glial States Associated with Specific Neurological Disorders

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Integrated analysis of accessibility changes, gene activity, GWAS heritability partition, epigenomic stability, and cell-cell interactions identifies disease-associated glia subtypes. (D) Disease heritability partition in subcluster-specific peaks for FTD GWAS across microglia subtypes. FDR *< 0.05; ** <0.005; *** < 0.001. (E) Differentially activated genes in microglia and mg.C4.

Do Specific Transcription Factors Drive Disease-Reactive Microglia and Astrocytes in PiD and PSP

Is Genetic Heritability Enriched in Disorder-Divergent Cell States in PSP and PiD

What Can Paired-Tag from Epigenome Technologies Do for Your Research?

Paired-Tag from Epigenome Technologies generates joint epigenetic and transcriptomic profiles at single-cell resolution and detects histone modifications and RNA transcripts in individual nuclei with comparable efficiency to single-nucleus RNA-seq/ChIP-seq assays while avoiding the need for cell sorting. The implementation of Paired-Tag technology may enable researchers to make significant strides in understanding gene regulation and improving the management of diseases, such as the neurodegenerative tauopathies explored in this exciting preprint.