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Updated: Sep 15, 2025

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Tissue-specific miRNA Expression Profiling in Mouse Heart Sections Using In Situ Hybridization
Published on: September 15, 2018
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Spatially resolved microRNA expression in tissues: technologies, challenges, and opportunities
Agustín Robles-Remacho1, Yimin Zou1, Marco Grillo1
1Science for Life Laboratory (SciLifeLab), Department of Biochemistry and Biophysics, Stockholm University, Solna, Sweden.
Trends in Genetics : TIG
|July 12, 2025
Summary
Spatial miRNomics, the study of microRNA (miRNA) expression in tissues, is emerging. This review explores current technologies, challenges, and the biomedical potential of spatial miRNA profiling for gene regulation research.
Area of Science:
- Genomics
- Molecular Biology
- Biotechnology
Background:
- Spatial omics is rapidly advancing.
- Spatially resolved microRNA (miRNA) expression profiling (spatial miRNomics) is an emerging field.
- miRNA dysregulation is linked to various pathologies, underscoring their clinical relevance.
Purpose of the Study:
- To review current spatial technologies for miRNA detection.
- To discuss the challenges and opportunities in spatial miRNomics.
- To outline the biomedical implications and future directions of spatial miRNA profiling.
Main Methods:
- Review of existing literature on spatial transcriptomics and miRNA detection methods.
- Analysis of foundational and cutting-edge technologies for spatial miRNA profiling.
- Discussion of conceptual and technical hurdles in the field.
Main Results:
- The field of spatial miRNomics is nascent, with limited pioneering studies.
- Various technologies exist for spatial miRNA detection, ranging from established to innovative approaches.
- Significant conceptual and technical challenges need to be addressed for widespread adoption.
Conclusions:
- Spatial miRNA profiling holds immense potential for translational and clinical research.
- Understanding spatial miRNA patterns can offer new insights into gene regulation and disease mechanisms.
- Future research should focus on overcoming technical challenges and expanding the application of spatial miRNomics.

