活体细胞成像
系统生物学
计算生物学
细胞生理学
生物
合成生物学
细胞
构造(python库)
神经科学
分子成像
细胞生物学
计算机科学
生理学
体内
生物化学
遗传学
程序设计语言
作者
Myong‐Hee Sung,James G. McNally
出处
期刊:Wiley Interdisciplinary Reviews: Systems Biology and Medicine
[Wiley]
日期:2010-08-20
卷期号:3 (2): 167-182
被引量:36
摘要
Abstract Much of the experimental data used to construct mathematical models of molecular networks are derived from in vitro measurements. However, there is increasing evidence that in vitro measurements fail to capture both the complexity and the individuality found in single, living cells. These limitations can be overcome by live cell microscopy which is evolving to enable in vivo biochemistry. Here, we survey the current capabilities of live cell microscopy and illustrate how a number of different imaging approaches could be applied to analyze a specific molecular network. We argue that incorporation of such quantitative live‐cell imaging methods is critical for the progress of systems biology. WIREs Syst Biol Med 2011 3 167–182 DOI: 10.1002/wsbm.108 This article is categorized under: Biological Mechanisms > Cell Signaling Laboratory Methods and Technologies > Imaging Physiology > Mammalian Physiology in Health and Disease
科研通智能强力驱动
Strongly Powered by AbleSci AI