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基因组、蛋白质组与中心法则。

Genomes, proteomes, and the central dogma.

作者信息

Franklin Sarah, Vondriska Thomas M

机构信息

Department of Anesthesiology, David Geffen School of Medicine, University of California, Los Angeles, CA 90095, USA.

出版信息

Circ Cardiovasc Genet. 2011 Oct;4(5):576. doi: 10.1161/CIRCGENETICS.110.957795.

DOI:10.1161/CIRCGENETICS.110.957795
PMID:22010165
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3200573/
Abstract

Systems biology, with its associated technologies of proteomics, genomics, and metabolomics, is driving the evolution of our understanding of cardiovascular physiology. Rather than studying individual molecules or even single reactions, a systems approach allows integration of orthogonal data sets from distinct tiers of biological data, including gene, RNA, protein, metabolite, and other component networks. Together these networks give rise to emergent properties of cellular function, and it is their reprogramming that causes disease. We present 5 observations regarding how systems biology is guiding a revisiting of the central dogma: (1) It deemphasizes the unidirectional flow of information from genes to proteins; (2) it reveals the role of modules of molecules as opposed to individual proteins acting in isolation; (3) it enables discovery of novel emergent properties; (4) it demonstrates the importance of networks in biology; and (5) it adds new dimensionality to the study of biological systems.

摘要

系统生物学及其相关的蛋白质组学、基因组学和代谢组学技术,正在推动我们对心血管生理学理解的演变。系统生物学方法不是研究单个分子甚至单个反应,而是允许整合来自生物数据不同层次的正交数据集,包括基因、RNA、蛋白质、代谢物和其他成分网络。这些网络共同产生细胞功能的涌现特性,正是它们的重新编程导致了疾病。我们提出了5个关于系统生物学如何指导对中心法则重新审视的观察结果:(1)它淡化了信息从基因到蛋白质的单向流动;(2)它揭示了分子模块的作用,而不是孤立作用的单个蛋白质;(3)它能够发现新的涌现特性;(4)它证明了网络在生物学中的重要性;(5)它为生物系统的研究增加了新的维度。

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本文引用的文献

1
Shortcuts to making cardiomyocytes.生成心肌细胞的捷径。
Nat Cell Biol. 2011 Mar;13(3):191-3. doi: 10.1038/ncb0311-191.
2
Divide and conquer: the application of organelle proteomics to heart failure.分而治之:细胞器蛋白质组学在心力衰竭中的应用。
Circ Res. 2011 Feb 18;108(4):512-26. doi: 10.1161/CIRCRESAHA.110.226910.
3
Mapping copy number variation by population-scale genome sequencing.通过群体规模的基因组测序来绘制拷贝数变异图谱。
Nature. 2011 Feb 3;470(7332):59-65. doi: 10.1038/nature09708.
4
High-resolution genome-wide mapping of the primary structure of chromatin.高分辨率全基因组范围内的染色质一级结构图谱绘制。
Cell. 2011 Jan 21;144(2):175-86. doi: 10.1016/j.cell.2011.01.003.
5
Alternans and arrhythmias: from cell to heart.交替和心律失常:从细胞到心脏。
Circ Res. 2011 Jan 7;108(1):98-112. doi: 10.1161/CIRCRESAHA.110.223586.
6
Computational models reduce complexity and accelerate insight into cardiac signaling networks.计算模型可降低复杂性并加速对心脏信号网络的深入了解。
Circ Res. 2011 Jan 7;108(1):85-97. doi: 10.1161/CIRCRESAHA.110.223602.
7
Network medicine: a network-based approach to human disease.网络医学:一种基于网络的人类疾病研究方法。
Nat Rev Genet. 2011 Jan;12(1):56-68. doi: 10.1038/nrg2918.
8
Environmental sensing by chromatin: an epigenetic contribution to evolutionary change.染色质的环境感应:对进化变化的表观遗传贡献。
FEBS Lett. 2011 Jul 7;585(13):2032-40. doi: 10.1016/j.febslet.2010.11.041. Epub 2010 Nov 26.
9
ENCODE whole-genome data in the UCSC genome browser (2011 update).将ENCODE全基因组数据编码到UCSC基因组浏览器中(2011年更新版)。
Nucleic Acids Res. 2011 Jan;39(Database issue):D871-5. doi: 10.1093/nar/gkq1017. Epub 2010 Oct 30.
10
A map of human genome variation from population-scale sequencing.人类基因组变异的图谱来自于基于人群的测序。
Nature. 2010 Oct 28;467(7319):1061-73. doi: 10.1038/nature09534.