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大数据、综合组学和网络生物学。

Big data, integrative omics and network biology.

机构信息

Translational Health Science and Technology Institute, NCR Biotech Science Cluster, Faridabad, Haryana, India.

Translational Health Science and Technology Institute, NCR Biotech Science Cluster, Faridabad, Haryana, India; School of Biosciences and Technology, Vellore Institute of Technology, Vellore, India.

出版信息

Adv Protein Chem Struct Biol. 2021;127:127-160. doi: 10.1016/bs.apcsb.2021.03.006. Epub 2021 Apr 20.


DOI:10.1016/bs.apcsb.2021.03.006
PMID:34340766
Abstract

A cell integrates various signals through a network of biomolecules that crosstalk to synergistically regulate the replication, transcription, translation and other metabolic activities of a cell. These networks regulate signal perception and processing that drives biological functions. The biological complexity cannot be fully captured by a single -omics discipline. The holistic study of an organism-in health, perturbation, exposure to environment and disease, is studied under systems biology. The bottom-up molecular approaches (genes, mRNA, protein, metabolite, etc.) have laid the foundation of current biological knowledge covering the horizon from viruses, bacteria, fungi, plants and animals. Yet, these techniques provide a rather myopic view of biology at the molecular level. To understand how the interconnected molecular components are formed and rewired in disease or exposure to environmental stimuli is the holy grail of modern biology. The omics era was heralded by the genomics revolution but advanced sequencing techniques are now also ubiquitous in transcriptomics, proteomics, metabolomics and lipidomics. Multi-omics data analysis and integration techniques are driving the quest for deeper insights into how the different layers of biomolecules talk to each other in diverse contexts.

摘要

细胞通过生物分子的网络进行各种信号的整合,这些生物分子协同调节细胞的复制、转录、翻译和其他代谢活动。这些网络调节信号感知和处理,从而驱动生物功能。单一的组学学科无法完全捕捉到这种生物复杂性。在系统生物学中,对生物体在健康、干扰、暴露于环境和疾病中的整体研究。从病毒、细菌、真菌、植物和动物的角度来看,从下到上的分子方法(基因、mRNA、蛋白质、代谢物等)为当前的生物学知识奠定了基础。然而,这些技术在分子水平上提供了相当狭隘的生物学观点。了解相互连接的分子成分如何在疾病或暴露于环境刺激时形成和重新布线,是现代生物学的圣杯。组学时代是由基因组学革命开创的,但先进的测序技术现在在转录组学、蛋白质组学、代谢组学和脂质组学中也无处不在。多组学数据分析和整合技术正在推动人们深入了解不同层次的生物分子在不同环境下是如何相互交流的。

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