作者: Yuri Nikolsky , Robert Kleemann
DOI: 10.1007/978-1-60761-800-3_11
关键词: Pharmacology 、 Bioinformatics 、 Drug 、 Biology 、 Treatment strategy 、 Pathway analysis 、 Systems biology 、 Adverse effect
摘要: Atherogenic lipids and chronic inflammation drive the development of cardiovascular disorders such as atherosclerosis. Many drugs target liver which is involved in formation lipid inflammatory risk factors. With robust systems biology tools comprehensive bioinformatical packages becoming available affordable, effect novel treatment strategies can be analyzed more comprehensively with higher sensitivity. For example, beneficial well adverse effects already detected on gene metabolite level, prior to their macroscopic manifestation. This chapter describes a approach for prototype CV drug established effects. All relevant steps, experimental design, tissue collection high quality RNA preparation, analysis functional processes, pathways (targeted untargeted) are addressed. © 2010 Springer Science+Business Media, LLC.