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TGF-β signaling promotes astroglial activation and TDP-43 proteinopathy in organoid models of frontotemporal lobar degeneration
Arren C. Ramsey, Xiao-Yan Tang, Magdalena J. Macias, Patricia R. Nano, Rufei Lu, Brian Benito, Cameron M. Lau, Jisu Park, Jiasheng Zhang, Wandy Beatty, Tanzila Mukhtar, Arnold R. Kriegstein, Aparna Bhaduri, Elise Marsan, Eric J. Huang
Arren C. Ramsey, Xiao-Yan Tang, Magdalena J. Macias, Patricia R. Nano, Rufei Lu, Brian Benito, Cameron M. Lau, Jisu Park, Jiasheng Zhang, Wandy Beatty, Tanzila Mukhtar, Arnold R. Kriegstein, Aparna Bhaduri, Elise Marsan, Eric J. Huang
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Research Article Aging Neuroscience

TGF-β signaling promotes astroglial activation and TDP-43 proteinopathy in organoid models of frontotemporal lobar degeneration

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Abstract

Dominant mutations in progranulin (GRN) gene cause frontotemporal lobar degeneration (FTLD-GRN), whereas homozygous GRN mutations lead to neuronal ceroid lipofuscinosis, a childhood neurodegenerative disorder. While recent transcriptomic studies reveal profound glial and neuronal pathology in FTLD-GRN at the disease end stage, the mechanism that disrupts glia-neuron homeostasis remains unclear. Using induced pluripotent stem cell–derived cortical organoids, we showed that GRN–/– and GRNR493X mutations led to precocious astrogliosis that promoted neuronal stress and synaptic loss. Single-cell transcriptomics and histopathology analyses revealed a robust activation in the TGF-β signaling pathway in GRN–/– and GRNR493X/R493X astrocytes, which was accompanied by features of immune activation, loss of synaptic support, and abundant pTDP-43+ fibrils in astroglial cytoplasm, a feature characteristic of FTLD-GRN. Intriguingly, blocking TGF-β signaling mitigated astroglial activation and pTDP-43 proteinopathy in GRN–/– organoids. Together, these results provide insights into the cell-autonomous role of astroglial activation in neurodegeneration caused by progranulin deficiency.

Authors

Arren C. Ramsey, Xiao-Yan Tang, Magdalena J. Macias, Patricia R. Nano, Rufei Lu, Brian Benito, Cameron M. Lau, Jisu Park, Jiasheng Zhang, Wandy Beatty, Tanzila Mukhtar, Arnold R. Kriegstein, Aparna Bhaduri, Elise Marsan, Eric J. Huang

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Figure 3

Transcriptomic profiles of astrocyte subclusters in GRN+/+ and GRN–/– cortical organoids.

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Transcriptomic profiles of astrocyte subclusters in GRN+/+ and GRN–/– co...
(A and B) UMAP of astrocytes grouped by subclusters Ast0-Ast6 split by genotype (A) and age (B). (C) Bar graphs of the total number of cells in each astrocyte subcluster by age and genotype. (D) Bar graphs of the top Gene Ontology (GO) terms defined by up- and downregulated genes in GRN–/– astrocytes compared with GRN+/+ astrocytes in 16- and 25-week organoids. G-score refers to avgFC*-log(adj_P_val). (E) Heatmap showing the G-scores of top up- and downregulated GO terms in each subcluster of GRN–/– astroglia compared with GRN+/+ astroglia. Genes listed are top DEGs in the GRN–/– astroglia in the listed GO term. G-score refers to avgFC*-log(adj_P_val). (F and G) Immunostaining of HLA-D, CTSB, and GFAP (F) or HLA-D, CTSB, and CD44 (G) in GRN+/+ and GRN–/– iPSC-derived cortical organoids at 16 and 25 weeks. (H) Quantification of CTSB+GFAP+, HLA-D+GFAP+, and CD44+ astrocytes in GRN+/+ and GRN–/– cortical organoids at 25 weeks. Statistics used Student’s t test; data represent mean ± SEM. (I) Top row has Ramsey GRN+/+ and GRN–/– astroglia clusters projected onto the Sadick UMAPs of control (Ctrl) and Alzheimer’s (AD) astrocytes (25), respectively. Bottom row has Sadick UMAPs of Ctrl and AD astrocytes grouped by Sadick clusters.

Copyright © 2026 American Society for Clinical Investigation
ISSN: 0021-9738 (print), 1558-8238 (online)

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