Please use this identifier to cite or link to this item: https://ahro.austin.org.au/austinjspui/handle/1/27182
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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