Wettersten Hiromi I, Ganti Sheila, Weiss Robert H
Division of Nephrology, Department of Internal Medicine, University of California, Davis, California, USA.
Department of Comparative Medicine, University of Washington, Seattle, Washington, USA.
Methods Enzymol. 2014;543:275-96. doi: 10.1016/B978-0-12-801329-8.00014-3.
Metabolomics is one of the newcomers among the "omics" techniques, perhaps also constituting the most relevant for the study of pathophysiological conditions. Metabolomics may indeed yield not only disease-specific biomarkers but also profound insights into the etiology and progression of a variety of human disorders. Various metabolomic approaches are currently available to study oncogenesis and tumor progression in vivo, in murine tumor models. Many of these models rely on the xenograft of human cancer cells into immunocompromised mice. Understanding how the metabolism of these cells evolves in vivo is critical to evaluate the actual pertinence of xenograft models to human pathology. Here, we discuss various tumor xenograft models and methods for their metabolomic profiling to provide a short guide to investigators interested in this field of research.
代谢组学是“组学”技术中的后起之秀,可能也是研究病理生理状况最相关的技术。代谢组学确实不仅可以产生疾病特异性生物标志物,还能深入洞察各种人类疾病的病因和进展。目前有多种代谢组学方法可用于在小鼠肿瘤模型中体内研究肿瘤发生和肿瘤进展。其中许多模型依赖于将人类癌细胞异种移植到免疫缺陷小鼠体内。了解这些细胞的代谢在体内如何演变对于评估异种移植模型与人类病理学的实际相关性至关重要。在此,我们讨论各种肿瘤异种移植模型及其代谢组学分析方法,为对该研究领域感兴趣的研究人员提供一个简短指南。