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首页> 外文期刊>Biochimica et biophysica acta. Molecular basis of disease: BBA >Unveiling network-based functional features through integration of gene expression into protein networks
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Unveiling network-based functional features through integration of gene expression into protein networks

机译：通过将基因表达集成到蛋白质网络中揭示基于网络的功能特征

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摘要

Decoding health and disease phenotypes is one of the fundamental objectives in biomedicine. Whereas high throughput omics approaches are available, it is evident that any single omics approach might not be adequate to capture the complexity of phenotypes. Therefore, integrated multi-omics approaches have been used to unravel genotype phenotype relationships such as global regulatory mechanisms and complex metabolic networks in different eukaryotic organisms. Some of the progress and challenges associated with integrated omics studies have been reviewed previously in comprehensive studies. In this work, we highlight and review the progress, challenges and advantages associated with emerging approaches, integrating gene expression and protein-protein interaction networks to unravel network-based functional features. This includes identifying disease related genes, gene prioritization, clustering protein interactions, developing the modules, extract active subnetworks and static protein complexes or dynamic/temporal protein complexes. We also discuss how these approaches contribute to our understanding of the biology of complex traits and diseases. This article is part of a Special Issue entitled: Cardiac adaptations to obesity, diabetes and insulin resistance, edited by Professors Jan F.C. Glatz, Jason R.B. Dyck and Christine Des Rosiers.
机译：解码健康和疾病表型是生物医学的基本目标之一。虽然高吞吐量OMIC方法可用，但很明显，任何单个OMIC方法都可能不足以捕获表型的复杂性。因此，集成的多OMICS方法已被用于解开基因型表型关系，例如不同真核生物中的全局调节机制和复杂代谢网络。以前在综合研究中审查了与集成OMICS研究相关的一些进展和挑战。在这项工作中，我们强调并审查了与新出现的方法相关的进展，挑战和优势，将基因表达和蛋白质 - 蛋白质相互作用网络集成到基于网络的功能特征。这包括鉴定疾病相关基因，基因优先化，聚类蛋白质相互作用，显影模块，提取活性子网和静态蛋白质复合物或动态/颞蛋白复合物。我们还讨论这些方法如何为我们对复杂性状和疾病的生物学做出贡献。本文是题为：心脏适应肥胖，糖尿病和胰岛素抵抗的特殊问题的一部分，由教授编辑Jan F.C. Glatz，Jason R.B. Dyck和Christine des Rosiers。

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