Evidence map›Paper›PMID 41872310›Full record

ArticleNpj imaging2026

Correlative multimodal imaging for microscale spatial mapping of collagen-gene activity interactions in human tissues.

Riccardo Scodellaro, Martina Mietto, Alessandra Ferlini, Frauke Alves

Abstract read
In one paragraph

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.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

The trial behind it

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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Riccardo ScodellaroTranslational Molecular Imaging, Max Planck Institute for Multidisciplinary Sciences, Göttingen, Germany.
Martina MiettoUnit of Medical Genetics, Department of Medical Sciences, University of Ferrara, Ferrara, Italy.
Alessandra FerliniUnit of Medical Genetics, Department of Medical Sciences, University of Ferrara, Ferrara, Italy.
Frauke AlvesTranslational Molecular Imaging, Max Planck Institute for Multidisciplinary Sciences, Göttingen, Germany. falves@gwdg.de.

Funding

Innovative Medicines Initiative 101034427
6 · The paper itself

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.

Identifiers

PMID41872310
PMCPMC13009244

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.