한빛사논문
Han-Eol Park 1,2,3, Song Hyun Jo 4, Rosalind H Lee 5, Christian P Macks 1,2, Taeyun Ku 4, Jihwan Park 5, Chung Whan Lee 6, Junho K Hur 7, Chang Ho Sohn 1,2
1Center for Nanomedicine, Institute for Basic Science, Yonsei University, Seoul, 03722, Republic of Korea.
2Graduate Program in Nanobiomedical Engineering, Advanced Science Institute, Yonsei University, Seoul, 03722, Republic of Korea.
3School of Biological Sciences, Seoul National University, Seoul, 08826, Republic of Korea.
4Graduate School of Medical Science and Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, 34141, Republic of Korea.
5School of Life Sciences, Gwangju Institute of Science and Technology (GIST), Gwangju, 61005, Republic of Korea.
6Department of Chemistry, Gachon University, Seongnam, Gyeonggi-do, 13120, Republic of Korea.
7Department of Genetics, College of Medicine, Hanyang University, Seoul, 04763, Republic of Korea.
S.H.J. and R.H.L. contributed equally to this work.
CORRESPONDING AUTHOR : Chang Ho Sohn
Abstract
Spatial transcriptomics is a newly emerging field that enables high-throughput investigation of the spatial localization of transcripts and related analyses in various applications for biological systems. By transitioning from conventional biological studies to "in situ" biology, spatial transcriptomics can provide transcriptome-scale spatial information. Currently, the ability to simultaneously characterize gene expression profiles of cells and relevant cellular environment is a paradigm shift for biological studies. In this review, recent progress in spatial transcriptomics and its applications in neuroscience and cancer studies are highlighted. Technical aspects of existing technologies and future directions of new developments (as of March 2023), computational analysis of spatial transcriptome data, application notes in neuroscience and cancer studies, and discussions regarding future directions of spatial multi-omics and their expanding roles in biomedical applications are emphasized.
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