Molecular networks as sensors and drivers of common human diseases

被引：587

作者：

Schadt, Eric E. ^{[1
]}

机构：

[1] Pacific Biosci, Menlo Pk, CA 94025 USA

来源：

NATURE | 2009年 / 461卷 / 7261期

关键词：

INTEGRATIVE GENOMICS APPROACH; PROTEIN INTERACTION NETWORK; LARGE-SCALE REPLICATION; HUMAN GENE-EXPRESSION; MACULAR DEGENERATION; SUSCEPTIBILITY LOCI; RISK; ASSOCIATION; OBESITY; YEAST;

D O I：

10.1038/nature08454

中图分类号：

O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];

学科分类号：

07 ; 0710 ; 09 ;

摘要：

The molecular biology revolution led to an intense focus on the study of interactions between DNA, RNA and protein biosynthesis in order to develop a more comprehensive understanding of the cell. One consequence of this focus was a reduced attention to whole-system physiology, making it difficult to link molecular biology to clinical medicine. Equipped with the tools emerging from the genomics revolution, we are now in a position to link molecular states to physiological ones through the reverse engineering of molecular networks that sense DNA and environmental perturbations and, as a result, drive variations in physiological states associated with disease.

引用

页码：218 / 223

页数：6

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