The Innovation Life > 2023 Vol. 1 > No. 1 > 100006
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Spatial transcriptomics in cancer research: Opportunities and challenges

  • 1.

    BGI-Shenzhen, Shenzhen 518103, China

  • 2.

    Shenzhen Key Laboratory of Unknown Pathogen Identification, BGI-Shenzhen, Shenzhen 518083, China

  • 3.

    Singapore Immunology Network (SIgN), Agency for Science, Technology and Research (A*STAR), Singapore 138648, Republic of Singapore

  • 4.

    Shanghai Institute of Immunology, Department of Immunology and Microbiology, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China

  • 5.

    Inserm U1015, Gustave Roussy, Villejuif 94800, France

  • 6.

    SingHealth Duke-NUS Academic Medical Centre, Translational Immunology Institute, Singapore 169856, Singapore

  • 7.

    School of Medicine, South China University of Technology, Guangzhou 510006, China

  • 8.

    Shenzhen Key Laboratory of Transomics Biotechnologies, BGI-Shenzhen, Shenzhen 518083, China

  • 9.

    BGI Asia-Pacific, BGI-Shenzhen, Singapore 138567, Singapore

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  • Corresponding author: jinxin@genomics.cn
  • Received Date:  03 March 2023
    Accepted Date:  08 May 2023
    Published Online:  31 May 2023
The Innovation Life  1(1),  https://doi.org/10.59717/j.xinn-life.2023.100006  |  Cite this article
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    • REFERENCES
  • [1] Cheng, M., Jiang, Y., Xu, J., et al. (2023). Spatially resolved transcriptomics: A comprehensive review of their technological advances, applications, and challenges. J. Genet. Genomics 50: 625-640. DOI: 10.1016/j.jgg.2023.03.011.

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    [2] Hanahan, D. (2022). Hallmarks of cancer: New dimensions. Cancer Discov. 12: 31−46. DOI: 10.1158/2159-8290.CD-21-1059.

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    [3] Moses, L., and Pachter, L. (2022). Museum of spatial transcriptomics. Nat. Methods 19: 534−546. DOI: 10.1038/s41592-022-01409-2.

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    [4] Li, B., Zhang, W., Guo, C., et al. (2022). Benchmarking spatial and single-cell transcriptomics integration methods for transcript distribution prediction and cell type deconvolution. Nat. Methods 19: 662−670. DOI: 10.1038/s41592-022-01480-9.

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    [5] Vandereyken, K., Sifrim, A., Thienpont, B., and Voet, T. (2023). Methods and applications for single-cell and spatial multi-omics. Nat. Rev. Genet. 24: 494-515. DOI: 10.1038/s41576-023-00580-2.

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  • Cite this article:

    Ou Z., Yin J., Wu L., et al., (2023). Spatial transcriptomics in cancer research: Opportunities and challenges. The Innovation Life 1(1), 100006. https://doi.org/10.59717/j.xinn-life.2023.100006
    Ou Z., Yin J., Wu L., et al., (2023). Spatial transcriptomics in cancer research: Opportunities and challenges. The Innovation Life 1(1), 100006. https://doi.org/10.59717/j.xinn-life.2023.100006

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