Integration of spatially resolved transcriptomics into pathological research: Opportunities and challenges-Reference-Cited by-同舟云学术

Integration of spatially resolved transcriptomics into pathological research: Opportunities and challenges

Published:2024-05-15 Issue:1 Volume:3 Page:32-36
ISSN:2752-1915
Container-title:Trillium Pathology
language:en
Short-container-title:TP

Author:

Wirth Johannes¹

Affiliation:

1. Institute of Pathology School of Medicine TUM, Munich, Germany

Abstract

The development of spatially resolved transcriptomics technologies has revolutionised research in recent years. By enabling the analysis of the state and position of cell types within a tissue section, these technologies have the potential to transform our understanding of pathological processes and translate this knowledge into improved treatments for patients. This review provides an overview of available technologies and discusses the potential challenges of integrating them into pathological research, with a particular focus on the computational analysis of such data.

Publisher

Trillium GmbH Medizinischer Fachverlag

Reference60 articles.

1. Mazzarello P. A unifying concept: the history of cell theory. Nat Cell Biol 1999;1:E13–5. https://doi.org/10.1038/8964.

2. Arendt D et al. The origin and evolution of cell types. Nat Rev Genet 2016;17:744–57. https://doi.org/10.1038/nrg.2016.127.

3. Achim K, Arendt D. Structural evolution of cell types by step-wise assembly of cellular modules. Curr Opin Genet Dev 2014;27:102–8. https://doi.org/10.1016/j.gde.2014.05.001.

4. Regev A et al. The human cell atlas. eLife 2017;6. https://doi.org/10.7554/eLife.27041.

5. Marx V. Method of the Year: spatially resolved transcriptomics. Nat Methods 2021;18:9–14. https://doi.org/10.1038/s41592-020-01033-y.