Colon Layer and Histological Phenotype Influence mRNA and miRNA Expression in Colon Samples of the DSS Mouse Model

Spatial heterogeneity is increasingly recognized as a major determinant of molecular responses in inflammatory bowel disease, yet molecular analyses in dextran sulfate sodium (DSS)-induced colitis commonly rely on whole-colon measurements that may obscure localized biological processes. We investigated how colon layer, histological phenotype, and colitis phase influence RNA expression by combining archived formalin-fixed paraffin-embedded (FFPE) colon tissue, histology-guided laser microdissection (LMD), targeted RT-qPCR, and multivariate modelling. Expression of five mRNAs (Tnf, Tnfr1, Tnfr2, Duox2, and iNos) and three miRNAs (miR-223-3p, miR-181a-5p, and miR-3473b) was analyzed in whole-colon sections, individual colon-wall layers, and histologically defined mucosal microenvironments. RNA expression varied according to anatomical layer, histological phenotype, and colitis phase, with the most pronounced molecular changes observed in erosive mucosa. Although several RNAs showed similar overall trends, whole-section measurements did not consistently reflect the magnitude or spatial distribution of RNA expression observed in individual layers and histological microenvironments. Multivariate modelling further revealed context-dependent interrelationships among the analyzed mRNAs and miRNAs and enabled these molecular patterns to be evaluated in relation to histological, anatomical, and temporal variables. These findings demonstrate that spatial and histological context can substantially influence the interpretation of targeted molecular measurements in DSS colitis and that whole-colon analysis may miss spatially restricted molecular changes. Histology-guided analysis of archived FFPE tissue, combined with multivariate modelling, therefore provides a complementary approach for resolving tissue heterogeneity and extracting additional biological information from existing animal tissue repositories, potentially reducing the need for additional animal experiments when appropriate archived material is available.

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Journal
Cells
Published
2026-09-16
DOI
https://doi.org/10.3390/cells15181677
Primary Topic
Inflammatory Bowel Disease
Type
article
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article

Colon Layer and Histological Phenotype Influence mRNA and miRNA Expression in Colon Samples of the DSS Mouse Model

Tanja Mrak, Emanuela Boštjančič, Ana Unkovič, Martina Perše et al.
Cells
Inflammatory Bowel Disease
article

Colon Layer and Histological Phenotype Influence mRNA and miRNA Expression in Colon Samples of the DSS Mouse Model

Tanja Mrak, Emanuela Boštjančič, Ana Unkovič, Martina Perše, Aleš Belič
article en

Abstract

Spatial heterogeneity is increasingly recognized as a major determinant of molecular responses in inflammatory bowel disease, yet molecular analyses in dextran sulfate sodium (DSS)-induced colitis commonly rely on whole-colon measurements that may obscure localized biological processes. We investigated how colon layer, histological phenotype, and colitis phase influence RNA expression by combining archived formalin-fixed paraffin-embedded (FFPE) colon tissue, histology-guided laser microdissection (LMD), targeted RT-qPCR, and multivariate modelling. Expression of five mRNAs (Tnf, Tnfr1, Tnfr2, Duox2, and iNos) and three miRNAs (miR-223-3p, miR-181a-5p, and miR-3473b) was analyzed in whole-colon sections, individual colon-wall layers, and histologically defined mucosal microenvironments. RNA expression varied according to anatomical layer, histological phenotype, and colitis phase, with the most pronounced molecular changes observed in erosive mucosa. Although several RNAs showed similar overall trends, whole-section measurements did not consistently reflect the magnitude or spatial distribution of RNA expression observed in individual layers and histological microenvironments. Multivariate modelling further revealed context-dependent interrelationships among the analyzed mRNAs and miRNAs and enabled these molecular patterns to be evaluated in relation to histological, anatomical, and temporal variables. These findings demonstrate that spatial and histological context can substantially influence the interpretation of targeted molecular measurements in DSS colitis and that whole-colon analysis may miss spatially restricted molecular changes. Histology-guided analysis of archived FFPE tissue, combined with multivariate modelling, therefore provides a complementary approach for resolving tissue heterogeneity and extracting additional biological information from existing animal tissue repositories, potentially reducing the need for additional animal experiments when appropriate archived material is available.

CellsVol. 15(18)
University of Ljubljana (SI), Ljubljana University Medical Centre (SI), Slovenian Forestry Institute (SI), Novartis (Slovenia) (SI)
Openalex Percentile: Top 11%
Inflammatory Bowel Disease
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