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Spatial Transcriptomics: Unlocking Biology’s Spatial Secrets

Mei Ling Tan*
Department of Molecular Genomics Singapore Biotechnology University, Singapore
*Corresponding Author: Mei Ling Tan, Department of Molecular Genomics Singapore Biotechnology University, Singapore, Email: m.lingtan@biotech.sg

Received Date: Nov 03, 2025 / Published Date: Dec 01, 2025

Citation: Tan ML (2025) Spatial Transcriptomics: Unlocking Biology’s Spatial Secrets. cmb 71: 419.DOI: 10.4172/1165-158X.1000419

Copyright: © 2025 Mei Ling Tan This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution and reproduction in any medium, provided the original author and source are credited.

 
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Abstract

Spatial transcriptomics is revolutionizing biological research by enabling the simultaneous measurement of gene expression and spatial location within samples. This technology provides unprecedented insights into tissue architecture, cellular heterogeneity, and complex biological processes such as development and disease. Recent advancements have significantly improved resolution, throughput, and accessibility. Integration with other omics data offers a holistic view essential for understanding disease mechanisms and identifying therapeutic targets. High-resolution techniques allow precise mapping of cell types and their interactions, transforming fields like oncology and developmental biology. Computational tools are vital for data analysis, and emerging technologies continue to expand the field’s impact.

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