副研究员
代谢流量组学，反映基因-蛋白-代谢物之间的相互作用对代谢网络的综合效应。13C代谢流量分析在推动代谢工程和合成生物学从穷举试错法到理性设计转变，发挥至关重要的作用。此外，由于这项技术能够用于确定细胞能量来源、疾病代谢状态异质性和药物引起的代谢变化，也已成功应用于生物医药与大健康领域。
基于代谢组学及动态同位素示踪技术，稳态和非稳态13C代谢流分析，建立工业菌株动态代谢网络的代谢流集成平台。
通过13C代谢流量分析揭示代谢活动的基本规律，为各类代谢性疾病和肿瘤发生提供进行干预的理论依据。
Ruilian Yao, Jiawei Li, Lei Feng, Xuehong Zhang, Hongbo Hu. 13C metabolic flux analysis-guided metabolic engineering of Escherichia coli for improved acetol production from glycerol. Biotechnology for Biofuels, 2019, 12:29
Ruilian Yao#, Di Liu#, Xiao Jia, Yuan Zheng, Wei Liu, Yi Xiao. CRISPR-Cas9/Cas12a biotechnology and application in bacteria. Synthetic and Systems Biotechnology, 2018, 3(3): 135-149.
Ruilian Yao, Keli Pan, Huasong Peng, Lei Feng, Hongbo Hu, Xuehong Zhang. Engineering and systems-level analysis of Pseudomonas chlororaphis for production of phenazine-1-carboxamide using glycerol as the cost-effective carbon source. Biotechnology for Biofuels, 2018, 11:130.
Ruilian Yao, Dewang Xiong, Hongbo Hu, Masataka Wakayama, Wenjuan Yu, Xuehong Zhang, Kazuyuki Shimizu. Elucidation of the co-metabolism of glycerol and glucose in Escherichia coli by genetic engineering, transcription, profiling, and 13C metabolic flux analysis. Biotechnology for Biofuels, 2016, 9:175.
论文下载
支撑材料