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Title: | Spatial omics and multiplexed imaging to explore cancer biology. | Austin Authors: | Lewis, Sabrina M;Asselin-Labat, Marie-Liesse;Nguyen, Quan;Berthelet, Jean;Tan, Xiao;Wimmer, Verena C;Merino, Delphine;Rogers, Kelly L;Naik, Shalin H | Affiliation: | Immunology Division, The Walter and Eliza Hall Institute of Medical Research, Parkville, Victoria, Australia Advanced Technology and Biology Division, The Walter and Eliza Hall Institute of Medical Research, Parkville, Victoria, Australia Department of Medical Biology, Faculty of Medicine, Dentistry and Health Sciences, The University of Melbourne, Melbourne, Victoria, Australia Olivia Newton-John Cancer Research Institute Personalised Oncology Division, The Walter and Eliza Hall Institute of Medical Research, Parkville, Victoria, Australia Division of Genetics and Genomics, Institute for Molecular Bioscience, The University of Queensland, Brisbane, Queensland, Australia School of Cancer Medicine, La Trobe University, Bundoora, Victoria, Australia |
Issue Date: | Sep-2021 | Date: | 2021-08-02 | Publication information: | Nature Methods 2021; 18(9): 997-1012 | Abstract: | Understanding intratumoral heterogeneity-the molecular variation among cells within a tumor-promises to address outstanding questions in cancer biology and improve the diagnosis and treatment of specific cancer subtypes. Single-cell analyses, especially RNA sequencing and other genomics modalities, have been transformative in revealing novel biomarkers and molecular regulators associated with tumor growth, metastasis and drug resistance. However, these approaches fail to provide a complete picture of tumor biology, as information on cellular location within the tumor microenvironment is lost. New technologies leveraging multiplexed fluorescence, DNA, RNA and isotope labeling enable the detection of tens to thousands of cancer subclones or molecular biomarkers within their native spatial context. The expeditious growth in these techniques, along with methods for multiomics data integration, promises to yield a more comprehensive understanding of cell-to-cell variation within and between individual tumors. Here we provide the current state and future perspectives on the spatial technologies expected to drive the next generation of research and diagnostic and therapeutic strategies for cancer. | URI: | https://ahro.austin.org.au/austinjspui/handle/1/27182 | DOI: | 10.1038/s41592-021-01203-6 | ORCID: | 0000-0003-4261-1670 0000-0001-7082-6076 0000-0001-7870-5703 0000-0003-3148-7993 0000-0002-8075-6275 0000-0002-6755-0221 0000-0003-0299-3301 |
Journal: | Nature Methods | PubMed URL: | 34341583 | Type: | Journal Article | Subjects: | cancer biology spatial technology multiplexed imaging |
Appears in Collections: | Journal articles |
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