Suppr超能文献

功能基因组学与系统生物学导论

An Introduction to Functional Genomics and Systems Biology.

作者信息

Bunnik Evelien M, Le Roch Karine G

机构信息

Department of Cell Biology and Neuroscience, University of California , Riverside, California.

出版信息

Adv Wound Care (New Rochelle). 2013 Nov;2(9):490-498. doi: 10.1089/wound.2012.0379.

Abstract

OBJECTIVE

Over the past decade, the development of high-throughput technologies for DNA and protein analysis has revolutionized the ways in which cells can be studied. Within a relatively short time frame, research has changed from studying individual genes and proteins to analyzing entire genomes and proteomes.

APPROACH

In this article, we summarize the technologies and concepts that form the basis of this functional genomics approach.

RESULTS

Microarray and next-generation sequencing technologies have allowed researchers to investigate many different aspects of the cell, including DNA mutations, histone modifications, DNA methylation, chromatin structure, transcription, and translation on a genome-wide level. In addition, mass spectrometry technologies have undergone significant development and currently enable us to globally profile protein levels, protein-protein interactions, post-translational protein modifications, and metabolites.

INNOVATION AND CONCLUSION

The integration of information from the various processes that occur within a cell provides a more complete picture of how genes give rise to biological functions, and will ultimately help us to understand the biology of organisms, in both health and disease.

摘要

目的

在过去十年中,用于DNA和蛋白质分析的高通量技术的发展彻底改变了研究细胞的方式。在相对较短的时间内,研究已从研究单个基因和蛋白质转变为分析整个基因组和蛋白质组。

方法

在本文中,我们总结了构成这种功能基因组学方法基础的技术和概念。

结果

微阵列和下一代测序技术使研究人员能够在全基因组水平上研究细胞的许多不同方面,包括DNA突变、组蛋白修饰、DNA甲基化、染色质结构、转录和翻译。此外,质谱技术也取得了重大进展,目前使我们能够对蛋白质水平、蛋白质-蛋白质相互作用、蛋白质翻译后修饰和代谢物进行全局分析。

创新与结论

整合细胞内发生的各种过程的信息,可以更全面地了解基因如何产生生物学功能,并最终有助于我们理解生物体在健康和疾病状态下的生物学特性。

相似文献

1
An Introduction to Functional Genomics and Systems Biology.功能基因组学与系统生物学导论
Adv Wound Care (New Rochelle). 2013 Nov;2(9):490-498. doi: 10.1089/wound.2012.0379.
2
3
4
Enhancement of Plant Productivity in the Post-Genomics Era.后基因组时代植物生产力的提高
Curr Genomics. 2016 Aug;17(4):295-6. doi: 10.2174/138920291704160607182507.
6
Next generation sequencing in functional genomics.功能基因组学中的下一代测序。
Brief Bioinform. 2010 Sep;11(5):499-511. doi: 10.1093/bib/bbq018. Epub 2010 May 25.
8
An overview of technologies for MS-based proteomics-centric multi-omics.基于 MS 的蛋白质组学中心型多组学技术概述。
Expert Rev Proteomics. 2022 Mar;19(3):165-181. doi: 10.1080/14789450.2022.2070476. Epub 2022 May 2.
9

引用本文的文献

5
Proteogenomic Approaches for Diseasome Studies.基于蛋白质基因组学的疾病基因组研究方法
Methods Mol Biol. 2025;2859:253-264. doi: 10.1007/978-1-0716-4152-1_14.

本文引用的文献

2
Differential network biology.差异网络生物学。
Mol Syst Biol. 2012 Jan 17;8:565. doi: 10.1038/msb.2011.99.
6
Real-time DNA sequencing from single polymerase molecules.来自单个聚合酶分子的实时DNA测序。
Science. 2009 Jan 2;323(5910):133-8. doi: 10.1126/science.1162986. Epub 2008 Nov 20.
8
Sequence census methods for functional genomics.功能基因组学的序列普查方法。
Nat Methods. 2008 Jan;5(1):19-21. doi: 10.1038/nmeth1157. Epub 2007 Dec 19.
9
Accurate multiplex polony sequencing of an evolved bacterial genome.进化细菌基因组的精确多重聚合酶克隆测序
Science. 2005 Sep 9;309(5741):1728-32. doi: 10.1126/science.1117389. Epub 2005 Aug 4.
10

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验