多细胞生物中细胞类型间代谢的区隔化:计算视角

IF 3.4 Q2 BIOCHEMISTRY & MOLECULAR BIOLOGY
Xuhang Li, L. Safak Yilmaz, Albertha J.M. Walhout
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引用次数: 2

摘要

在多细胞生物中,代谢在许多水平上是区隔的,包括组织和器官、不同的细胞类型和亚细胞区隔。区隔化创造了一个协调的内稳态系统,其中每个区隔都有助于产生生物体执行特定代谢任务所需的能量和生物分子。实验研究多细胞生物中细胞和组织之间的代谢区隔化和代谢相互作用在系统水平上具有挑战性。然而,计算建模的最新进展为这个问题提供了另一种方法。在这里,我们讨论了如何将代谢网络建模与组学数据相结合,为揭示器官、组织和最终个体细胞水平的代谢状态提供了机会。我们回顾了多细胞生物基因组尺度代谢网络模型的现状,在计算机上研究代谢区隔化的方法,以及从计算分析中获得的见解。我们还讨论了突出的挑战,并为该领域的未来方向提供了观点。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Compartmentalization of metabolism between cell types in multicellular organisms: A computational perspective

Compartmentalization of metabolism between cell types in multicellular organisms: A computational perspective

Compartmentalization of metabolism between cell types in multicellular organisms: A computational perspective

In multicellular organisms, metabolism is compartmentalized at many levels, including tissues and organs, different cell types, and subcellular compartments. Compartmentalization creates a coordinated homeostatic system where each compartment contributes to the production of energy and biomolecules that the organism needs to carry out specific metabolic tasks. Experimentally studying metabolic compartmentalization and metabolic interactions between cells and tissues in multicellular organisms is challenging at a systems level. However, recent progress in computational modeling provides an alternative approach to this problem. Here, we discuss how integrating metabolic network modeling with omics data offers an opportunity to reveal metabolic states at the level of organs, tissues and, ultimately, individual cells. We review the current status of genome-scale metabolic network models in multicellular organisms, methods to study metabolic compartmentalization in silico, and insights gained from computational analyses. We also discuss outstanding challenges and provide perspectives for the future directions of the field.

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来源期刊
Current Opinion in Systems Biology
Current Opinion in Systems Biology Mathematics-Applied Mathematics
CiteScore
7.10
自引率
2.70%
发文量
20
期刊介绍: Current Opinion in Systems Biology is a new systematic review journal that aims to provide specialists with a unique and educational platform to keep up-to-date with the expanding volume of information published in the field of Systems Biology. It publishes polished, concise and timely systematic reviews and opinion articles. In addition to describing recent trends, the authors are encouraged to give their subjective opinion on the topics discussed. As this is such a broad discipline, we have determined themed sections each of which is reviewed once a year. The following areas will be covered by Current Opinion in Systems Biology: -Genomics and Epigenomics -Gene Regulation -Metabolic Networks -Cancer and Systemic Diseases -Mathematical Modelling -Big Data Acquisition and Analysis -Systems Pharmacology and Physiology -Synthetic Biology -Stem Cells, Development, and Differentiation -Systems Biology of Mold Organisms -Systems Immunology and Host-Pathogen Interaction -Systems Ecology and Evolution
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