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Vision from next generation sequencing: Multi-dimensional genome-wide analysis for producing gene regulatory networks underlying retinal development aging and disease

机译:下一代测序的愿景:全方位的全基因组分析可产生视网膜发育衰老和疾病的基因调控网络

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摘要

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.
机译:基因组学和遗传学已经入侵了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”本身的定义已变得模棱两可,并且中心教条也在不断修订和扩展。计算生物学和计算医学已不再是所选少数人的知识领域。下一代测序(NGS)技术与模式识别和网络分析的新颖方法一起,彻底改变了我们思考基本生物学机制和细胞途径的方式。在这篇综述中,我们讨论了基于NGS的全基因组方法,可以为视网膜发育,衰老和疾病发病机理提供更深入的见解。我们首先关注控制视网膜感光细胞分化并调节衰老过程中的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,并提出基于网络生物学的治疗远景。我们应该强调,网络构建和分析的基本策略可以传输到任何组织或细胞类型。我们认为,对于基因组,转录组和表观基因组数据的生成,需要特定且统一的指南,以促进多维数据集的比较分析和集成,以及构建复杂的生物过程基础的网络。由于细胞的动态平衡和生物存活取决于基因-基因和基因-环境的相互作用,因此我们认为基于网络的生物学将为破译疾病机制和发现视网膜神经退行性疾病的新药物靶标提供基础。

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