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Gene & Protein in Disease Insights from In situ spatial profiling
may hinge on several key changes. First, integrating Availability of data
advanced technologies, such as machine learning and
artificial intelligence with spatial profiling could enhance Not applicable.
our ability to analyze complex diseases and tailor treatment References
options. This would be particularly impactful in cancer
research, where precision is essential for understanding 1. Alon S, Goodwin DR, Sinha A, et al. Expansion sequencing:
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It is crucial to develop more cost-effective solutions
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for broader applications in research settings. Combining 2. Battenberg K, Kelly ST, Ras RA, Hetherington NA,
multiple technologies, such as single-cell analysis and Hayashi M, Minoda A. A flexible cross-platform single-cell
multiomics approaches, could also provide holistic insights data processing pipeline. Nat Commun. 2022;13(1):6847.
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without compromising data quality, would significantly omics. Science. 2023;381(6657):eabq4964.
accelerate discoveries and interdisciplinary breakthroughs, doi: 10.1126/science.abq4964
positioning spatial profiling as a central player in
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The future of personalized medicine is becoming Biotechnol. 2023;42:293-304.
increasingly intertwined with advancements in spatial
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into individual patient profiles, especially in areas where 5. Saviano A, Henderson NC, Baumert TF. Single-cell
personalized medicine is most effective, such as oncology genomics and spatial transcriptomics: Discovery of novel
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Acknowledgments doi: 10.1016/j.jhep.2020.06.004
None. 6. Piwecka M, Rajewsky N, Rybak-Wolf A. Single-cell and
spatial transcriptomics: Deciphering brain complexity in
Funding health and disease. Nat Rev Neurol. 2023;19:346-362.
None. doi: 10.1038/s41582-023-00809-y
Conflict of interest 7. Yeh C, Lin ST, Yeh S. Single-cell spatial transcriptomics
reveals cellular and molecular heterogeneity of non-small
The authors declare that they have no competing interests. cell lung cancer. Cancer Ther Oncol Intl J. 2024;27(3):556213.
Author contributions doi: 10.19080/ctoij.2024.27.556213
Conceptualization: Chen Yeh 8. Magrill J, Moldoveanu D, Gu J, Lajoie M, Watson IR.
Mapping the single cell spatial immune landscapes of
Formal analysis: Shu-Ti Lin, Ian Molyneaux the melanoma microenvironment. Clin Exp Metastasis.
Investigation: Shu-Ti Lin, Chen Yeh 2024;41(4):301-312.
Methodology: Shu-Ti Lin, Ian Molyneaux
Visualization: Shu-Ti Lin, Ian Molyneaux doi: 10.1007/s10585-023-10252-4
Writing – original draft: Shu-Ti Lin 9. Prokop S, Miller KR, Labra SR, et al. Impact of TREM2 risk
Writing – review & editing: Chen Yeh variants on brain region-specific immune activation and
plaque microenvironment in Alzheimer’s disease patient
Ethics approval and consent to participate brain samples. Acta Neuropathol. 2019;138(4):613-630.
Not applicable. doi: 10.1007/s00401-019-02048-2
Consent for publication 10. Oh T, Kim G, Baek SH, et al. Comparative spatial
transcriptomic profiling of severe acute respiratory
Not applicable. syndrome coronavirus 2 Delta and Omicron variants
Volume 4 Issue 3 (2025) 8 doi: 10.36922/GPD025050007

