ArticleNpj imaging2026
Correlative multimodal imaging for microscale spatial mapping of collagen-gene activity interactions in human tissues.
Article in Npj imaging, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
1 citing paper in PubMed.
- Real-time monitoring of CAR T cell dynamics in tumor patient-derived organoids using the OrganoIDNet algorithm.Journal of translational medicine · 2026Article
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Authors and funding
4 authors.
Funding
Abstract
Understanding how gene activity relates to other biological structures is critical to investigate tissue remodeling processes, disease, and regeneration. RNAscope in situ hybridization assay provides single-molecule detection of targeted transcripts, while label-free multiphoton microscopy enables high-resolution, quantitative imaging of extracellular matrix collagen. These modalities have not previously been combined to extract spatially resolved correlations between molecular and structural features within the same tissue section. Here, we introduce correlative multimodal imaging that integrates RNAscope with Second Harmonic Generation microscopy to align transcript localization with quantitative metrics of collagen architecture at microscale resolution. We applied this approach to human skeletal muscle biopsies of healthy and diseased patients, affected by Duchenne Muscular Dystrophy. Applying our workflow, we observed that, in this proof-of-concept, regions enriched in specific dystrophin transcripts (targeting exons 37-42 and 63-75) are associated with localized increases in collagen fiber length and density, suggesting a potential spatial correlation between dystrophin transcript distribution and collagen organization. This workflow enables microscale integration of molecular and structural data. Moreover, it can be readily extended to diverse tissues, targets, and disease contexts, providing a versatile platform for a deeper spatial biomarker discovery, fibrosis and regeneration studies, microscale evaluation of morphological effects on tissue of transcript-based therapies.
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Registered trials
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