Yang Hyun-Jin, Ratnapriya Rinki, Cogliati Tiziana, Kim Jung-Woong, Swaroop Anand
Neurobiology-Neurodegeneration and Repair Laboratory, National Eye Institute, National Institutes of Health, 6 Center Drive, Bethesda, MD 20892-0610, USA.
Neurobiology-Neurodegeneration and Repair Laboratory, National Eye Institute, National Institutes of Health, 6 Center Drive, Bethesda, MD 20892-0610, USA.
Prog Retin Eye Res. 2015 May;46:1-30. doi: 10.1016/j.preteyeres.2015.01.005. Epub 2015 Feb 7.
Genomics and genetics have invaded all aspects of biology and medicine, opening uncharted territory for scientific exploration. The definition of "gene" itself has become ambiguous, and the central dogma is continuously being revised and expanded. Computational biology and computational medicine are no longer intellectual domains of the chosen few. Next generation sequencing (NGS) technology, together with novel methods of pattern recognition and network analyses, has revolutionized the way we think about fundamental biological mechanisms and cellular pathways. In this review, we discuss NGS-based genome-wide approaches that can provide deeper insights into retinal development, aging and disease pathogenesis. We first focus on gene regulatory networks (GRNs) that govern the differentiation of retinal photoreceptors and modulate adaptive response during aging. Then, we discuss NGS technology in the context of retinal disease and develop a vision for therapies based on network biology. We should emphasize that basic strategies for network construction and analyses can be transported to any tissue or cell type. We believe that specific and uniform guidelines are required for generation of genome, transcriptome and epigenome data to facilitate comparative analysis and integration of multi-dimensional data sets, and for constructing networks underlying complex biological processes. As cellular homeostasis and organismal survival are dependent on gene-gene and gene-environment interactions, we believe that network-based biology will provide the foundation for deciphering disease mechanisms and discovering novel drug targets for retinal neurodegenerative diseases.
基因组学和遗传学已经渗透到生物学和医学的各个方面,为科学探索开辟了未知领域。“基因”本身的定义已经变得模糊不清,中心法则也在不断修订和扩展。计算生物学和计算医学不再是少数人的知识领域。下一代测序(NGS)技术,连同模式识别和网络分析的新方法,彻底改变了我们对基本生物学机制和细胞通路的思考方式。在这篇综述中,我们讨论基于NGS的全基因组方法,这些方法可以更深入地了解视网膜发育、衰老和疾病发病机制。我们首先关注调控视网膜光感受器分化并调节衰老过程中适应性反应的基因调控网络(GRN)。然后,我们在视网膜疾病的背景下讨论NGS技术,并基于网络生物学提出治疗愿景。我们应该强调,网络构建和分析的基本策略可以应用于任何组织或细胞类型。我们认为,为了便于对多维数据集进行比较分析和整合,以及构建复杂生物学过程的基础网络,生成基因组、转录组和表观基因组数据需要特定且统一的指导方针。由于细胞内稳态和机体存活依赖于基因-基因和基因-环境相互作用,我们相信基于网络的生物学将为解读视网膜神经退行性疾病的发病机制和发现新的药物靶点提供基础。