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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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                                                                  systems. Science. 2021;371(6528):eaax2656.
              It is crucial to develop more cost-effective solutions
            to democratize access to spatial profiling tools, allowing      doi: 10.1126/science.aax2656
            for broader applications in research settings. Combining   2.   Battenberg K, Kelly ST, Ras RA, Hetherington NA,
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            into disease progression and cellular function.       doi: 10.1038/s41467-022-34681-z
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            without compromising data quality, would significantly   omics. Science. 2023;381(6657):eabq4964.
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            positioning  spatial  profiling  as  a  central  player  in
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                                                                  integrative, multimodal and scalable single-cell analysis. Nat
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            increasingly intertwined with advancements in spatial
            biology. In situ spatial profiling could offer critical insights      doi: 10.1038/s41587-023-01767-y
            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
            and immunotherapy.                                    cell states and cellular interactions in liver physiology and
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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
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