摘要
网络标志物或网络生物标志物:分子浓度或表达量一般随时间和条件变化,因此传统的分子生物标志物(molecular biomarker)不能稳定地表征生物状态(如正常状态或疾病状态),而分子网络(如调控网络或相互作用网络)是相对稳定的形态,可稳定地表征生物状态。
Network biomarkers:Molecular concentration or expression generally varies with time and conditions,hence traditional molecular biomarkers cannot stably demonstrate the biological state(such as normal or diseased state),while the molecular network(such as regula?tory or interaction network)is a relatively stable form that steadily demonstrates the biological state.However,inferring biomolecular networks requires the collection of many samples by existing methods and is not suitable for clinical applica?tion.To solve the above problem,we have estab?lished a single-sample network construction theory and method.Molecular networks are established from the data onto one single simple alone,so the network biomarker[1-4]can be obtained to diag?nose disease or biological system states by networks.Network biomarkers are a group of network edges or molecular correlations,rather than a traditional group of molecular expressions.That is,the disease state or biological system state is diagnosed by changes or differences in molecular correlations.
作者
陈洛南
CHEN Luo-nan(Key Laboratory of System Biology,Shanghai Institute of Biological Sciences,Chinese Academy of Sciences;the Network Pharmacology Committee of CNPHARS)
出处
《中国药理学与毒理学杂志》
CAS
CSCD
北大核心
2018年第11期835-836,共2页
Chinese Journal of Pharmacology and Toxicology