代谢组学

Metabolomics studies the comprehensive metabolic fingerprint of an organism under various conditions.
代谢组学研究生物在不同条件下的全面代谢图谱。
The application of metabonomics in disease diagnosis is gaining traction in the medical field.
代谢组学在疾病诊断中的应用在医学界日益受到关注。
Metabolomic profiling can reveal changes in cellular metabolism during a disease progression.
代谢组学成像能揭示疾病进展期间细胞代谢的改变。
Metabonomic signatures help researchers identify biomarkers for early-stage cancer detection.
代谢组学特征有助于研究人员发现癌症早期的标志物。
A comparative metabonomics study was conducted on athletes before and after training to understand performance enhancement.
对运动员训练前后进行了比较代谢组学研究，以理解其性能提升。
Metabonomics integrates data from multiple biochemical pathways to provide a holistic view of biological systems.
代谢组学将多条生化途径的数据整合，提供生物系统整体视角。
Metabolic flux analysis, a subset of metabonomics, focuses on understanding the flow of metabolites through metabolic networks.
代谢流分析，代谢组学的一个分支，关注代谢物在代谢网络中的流动。
Metabonomic techniques are used to investigate the impact of diet on human health.
代谢组学技术被用来研究饮食对人类健康的影响。
The development of novel metabonomic techniques has improved the accuracy of disease diagnosis.
新型代谢组学技术的进步提高了疾病的诊断准确性。
Integration of metabonomics with omics data (genomics, proteomics) provides a more comprehensive understanding of biological processes.
将代谢组学与基因组学、蛋白质组学等数据融合，提供了对生物过程更全面的理解。