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Histopathology and spatial transcriptomics jointly map myofiber-specific pathological programs in mTORC1-driven myopathy
Jer-En Hsu, Qingyang Zhao, Weiqiu Cheng, Hyun Min Kang, Susan V. Brooks, Myungjin Kim, Jun Hee Lee
Jer-En Hsu, Qingyang Zhao, Weiqiu Cheng, Hyun Min Kang, Susan V. Brooks, Myungjin Kim, Jun Hee Lee
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Research Article Cell biology Muscle biology

Histopathology and spatial transcriptomics jointly map myofiber-specific pathological programs in mTORC1-driven myopathy

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Abstract

Skeletal muscle is composed of heterogeneous myofiber types and non-myocyte populations. Myopathies occur in many diseases, but the mechanisms driving these pathologies remain largely unknown, partly because conventional approaches cannot link histopathological features to molecular states at single-fiber resolution. To address this challenge, we brought histopathology and spatial transcriptomics together by applying high-resolution Seq-Scope technology to a mouse model of mTORC1 hyperactivation. Cross-sections from the extensor digitorum longus (EDL) and soleus (SOL), two muscles with distinct fiber-type compositions, were profiled to determine how transcriptome changes are linked to histopathological outcomes. mTORC1 hyperactivation elicited distinct, fiber type–dependent pathological programs. Type I and IIa fibers were largely resistant to mTORC1-induced pathology, exhibiting relatively limited morphological alterations. In contrast, type IIx fibers diverged into opposing fates: in SOL, they underwent abnormal enlargement associated with sustained growth signaling, cytoskeletal remodeling, and impaired proteostasis; in EDL, they developed basophilia associated with increased RNA content and lipid-, oxidative-, and nucleotide metabolism–related signatures. Within EDL, type IIb fibers displayed heterogeneity with discrete transcriptional states. Non-myocytic populations, including macrophages and fibroblasts, accumulated preferentially in SOL, forming a fibrotic microenvironment associated with inflammation, remodeling, and hypertrophy. These findings provide a link between histopathological phenotypes and molecular states at single-fiber resolution.

Authors

Jer-En Hsu, Qingyang Zhao, Weiqiu Cheng, Hyun Min Kang, Susan V. Brooks, Myungjin Kim, Jun Hee Lee

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Figure 3

Distinct hyperactive mTORC1 responses of type IIx myofibers in different muscles.

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Distinct hyperactive mTORC1 responses of type IIx myofibers in different...
(A) UMAP visualization of myofiber data points separated as control (left) or mutant (right) groups, with muscle identity (EDL: red; SOL: blue) annotated within the original MF2X depot (lower left). Dotted arrows and shapes indicate the bidirectional shift of the MF2X subclusters in response to mTORC1 hyperactivation. (B and C) Enlarged fibers (B) and developed basophilic fibers (C) marked in the UMAP manifold (left). Proportions quantified from MF2X cluster of indicated muscles and presented in a bar graph (right). (D) Representative expression patterns of genes upregulated in response to mTORC1 hyperactivation in all MF2X fibers (MF2X global upregulation) or specifically in MF2X of EDL or MF2X of SOL, selected from a broader set in Supplemental Figure 4C. Exclusivity was determined using pairwise Wilcoxon’s tests (adjusted P value < 0.05). (E) Venn diagram depicting the uniqueness and overlap of genes upregulated in MF2X of SOL and MF2X of EDL. (F) Cumulative module score of muscle-specific upregulated genes displayed in integrated UMAP manifold with control (left) and mutant (right) myofiber data points separated. (G) Spatial images of representative mutant sections from each muscle. Boxed areas are magnified below (H&E). MF2X myofiber identity and cumulative module scores representing the axis of SOL- and EDL-specific responses are visualized. Scale bars: 100 μm and 500 μm. (H) GO enrichment network representing group of genes upregulated in response to mTORC1 hyperactivation in all MF2X fibers (global response) or specifically in MF2X of EDL (EDL-specific) or MF2X of SOL (SOL-specific). Pathways are grouped by functional similarity. Node size reflects the number of genes associated with each pathway, and node colors are shown as pie charts indicating the relative enrichment significance determined by 1-sided Fisher’s exact test (adjusted P values) contributed by each muscle-specific gene set. For the complete results with GO term names, see Supplemental Figure 4F.

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