Challenges and opportunities in the clinical translation of high-resolution spatial transcriptomics

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Item Type:	Article
Title:	Challenges and opportunities in the clinical translation of high-resolution spatial transcriptomics
Creators Name:	Pentimalli, T.M., Karaiskos, N. and Rajewsky, N.
Abstract:	Pathology has always been fueled by technological advances. Histology powered the study of tissue architecture at single-cell resolution and remains a cornerstone of clinical pathology today. In the last decade, next-generation sequencing has become informative for the targeted treatment of many diseases, demonstrating the importance of genome-scale molecular information for personalized medicine. Today, revolutionary developments in spatial transcriptomics technologies digitalize gene expression at subcellular resolution in intact tissue sections, enabling the computational analysis of cell types, cellular phenotypes, and cell-cell communication in routinely collected and archival clinical samples. Here we review how such molecular microscopes work, highlight their potential to identify disease mechanisms and guide personalized therapies, and provide guidance for clinical study design. Finally, we discuss remaining challenges to the swift translation of high-resolution spatial transcriptomics technologies and how integration of multimodal readouts and deep learning approaches is bringing us closer to a holistic understanding of tissue biology and pathology.
Keywords:	Spatial Transcriptomics, Molecular Pathology, Cell–Cell Communication, Disease Mechanism, Personalized Medicine, Artificial Intelligence
Source:	Annual Review of Pathology : Mechanisms of Disease
ISSN:	1553-4014
Publisher:	Annual Reviews
Date:	30 October 2024
Official Publication:	https://doi.org/10.1146/annurev-pathmechdis-111523-023417
PubMed:	View item in PubMed

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