Reverse engineering the cancer metabolic network using flux analysis to understand drivers of human disease.
Reverse engineering the cancer metabolic network using flux analysis to understand drivers of human disease.
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DOI：
10.1016/j.ymben.2017.11.013
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发表时间：
2018-01
影响因子：
8.4
通讯作者：
Metallo CM
中科院分区：
文献类型：
--
作者：
Badur MG;Metallo CM
代谢功能障碍已经重新出现作为肿瘤发生的一个重要标志，代谢表型越来越多地被整合到疾病的临床前模型中。这些代谢网络的复杂性，需要系统级的询问，和代谢通量分析（MFA）与稳定同位素示踪提出了一个合适的概念框架，这样的系统。在这里，我们回顾努力阐明代谢影响肿瘤生长和生存的机制，强调应用稳定同位素示踪和MFA。通过这些方法，研究人员现在可以在各种体外和体内环境中量化途径通量，分别在分子和生理尺度上提供机制见解。癌症模型中的知识和发现正在为其他生物学背景和疾病模型的应用铺平道路。反过来，MFA方法将越来越多地帮助发现增强人类健康的新治疗机会。
Metabolic dysfunction has reemerged as an essential hallmark of tumorigenesis, and metabolic phenotypes are increasingly being integrated into pre-clinical models of disease. The complexity of these metabolic networks requires systems-level interrogation, and metabolic flux analysis (MFA) with stable isotope tracing present a suitable conceptual framework for such systems. Here we review efforts to elucidate mechanisms through which metabolism influences tumor growth and survival, with an emphasis on applications using stable isotope tracing and MFA. Through these approaches researchers can now quantify pathway fluxes in various in vitro and in vivo contexts to provide mechanistic insights at molecular and physiological scales respectively. Knowledge and discoveries in cancer models are paving the way toward applications in other biological contexts and disease models. In turn, MFA approaches will increasingly help to uncover new therapeutic opportunities that enhance human health.
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影响因子：
82.9
作者：
Davidson SM;Jonas O;Keibler MA;Hou HW;Luengo A;Mayers JR;Wyckoff J;Del Rosario AM;Whitman M;Chin CR;Condon KJ;Lammers A;Kellersberger KA;Stall BK;Stephanopoulos G;Bar-Sagi D;Han J;Rabinowitz JD;Cima MJ;Langer R;Vander Heiden MG
通讯作者：
Vander Heiden MG
影响因子：
64.8
作者：
通讯作者：
--
影响因子：
--
作者：
Crown SB;Ahn WS;Antoniewicz MR
通讯作者：
Antoniewicz MR
影响因子：
3.4
作者：
Beard, DA;Liang, SC;Qian, H
通讯作者：
Qian, H
影响因子：
21.3
作者：
Boroughs LK;DeBerardinis RJ
通讯作者：
DeBerardinis RJ