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18 pages, 558 KB  
Review
Spatial Transcriptomics in Human Cardiac Tissue
by Quynh Nguyen, Lin Wei Tung, Bruce Lin, Raam Sivakumar, Funda Sar, Gurpreet Singhera, Ying Wang, Jeremy Parker, Stephane Le Bihan, Amrit Singh, Fabio M.V. Rossi, Colin Collins, Jamil Bashir and Zachary Laksman
Int. J. Mol. Sci. 2025, 26(3), 995; https://doi.org/10.3390/ijms26030995 - 24 Jan 2025
Cited by 4 | Viewed by 5157
Abstract
Spatial transcriptomics has transformed our understanding of gene expression by preserving the spatial context within tissues. This review focuses on the application of spatial transcriptomics in human cardiac tissues, exploring current technologies with a focus on commercially available platforms. We also highlight key [...] Read more.
Spatial transcriptomics has transformed our understanding of gene expression by preserving the spatial context within tissues. This review focuses on the application of spatial transcriptomics in human cardiac tissues, exploring current technologies with a focus on commercially available platforms. We also highlight key studies utilizing spatial transcriptomics to investigate cardiac development, electro-anatomy, immunology, and ischemic heart disease. These studies demonstrate how spatial transcriptomics can be used in conjunction with other omics technologies to provide a more comprehensive picture of human health and disease. Despite its transformative potential, spatial transcriptomics comes with several challenges that limit its widespread adoption and broader application. By addressing these limitations and fostering interdisciplinary collaboration, spatial transcriptomics has the potential to become an essential tool in cardiovascular research. We hope this review serves as a practical guide for researchers interested in adopting spatial transcriptomics, particularly those with limited prior experience, by providing insights into current technologies, applications, and considerations for successful implementation. Full article
(This article belongs to the Special Issue New Insights in Translational Bioinformatics: Second Edition)
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