Kulasinghe Arutha, Wood Fiona, Belz Gabrielle
Frazer Institute, Faculty of Medicine, The University of Queensland, Brisbane, QLD, Australia.
Independent Innovation Strategy Analyst, NSW, Australia.
Immunol Cell Biol. 2023 Oct;101(9):798-804. doi: 10.1111/imcb.12669. Epub 2023 Aug 12.
Spatial biology is a rapidly developing field which enables the visualization of protein and transcriptomic data while preserving tissue context and architecture. Initially used in discovery, there is growing promise for translational and diagnostic assay developments. Immediate applications are in precision medicine, such as being able to match patients to optimal therapies through better understanding the tumor microenvironment. However, it also has ramifications for many other disciplines (e.g. immunology, cancer, infectious disease and digital pathology). With increasingly massive data sets being generated, data storage, curation, analysis and sharing require more computational approaches and artificial intelligence-powered tools to fully utilize spatial tools. Here, we discuss spatial biology as an important convergent science approach to tackling complex global challenges in areas such as health.
空间生物学是一个快速发展的领域,它能够在保留组织背景和结构的同时,实现蛋白质和转录组数据的可视化。该技术最初用于探索研究,如今在转化医学和诊断检测开发方面展现出越来越大的潜力。其直接应用于精准医学领域,例如通过更好地了解肿瘤微环境,为患者匹配最佳治疗方案。然而,它对许多其他学科(如免疫学、癌症、传染病和数字病理学)也具有重要意义。随着产生的数据集越来越庞大,数据存储、管理、分析和共享需要更多的计算方法和人工智能驱动的工具,以充分利用空间生物学工具。在此,我们将空间生物学作为一种重要的融合科学方法进行讨论,以应对健康等领域的复杂全球挑战。