The Dai Lab combine experiments, bioinformatics and mathematical modeling to study the ecology and evolution of microbiome. We focus on developing quantitative models and synthetic biology tools to engineer microbial communities that play important roles in human health, agriculture and environment.
Lei Dai received his B.S. in physics at University of Science and Technology of China and Ph.D. in physics at Massachusetts Institute of Technology. He was a HHMI postdoctoral fellow of Jane Coffin Childs Fund at UCLA from 2015 to 2018. He was awarded the Outstanding Thesis Research in Biological Physics by American Physical Society in 2014. He is also the recipient of “Award for Outstanding Students Abroad”, and “Whitaker Health Sciences Fund Fellowship”. His work was published in Science, Nature, PNAS, eLife and other prestigious journals.
TEL: 0755-86392436
EMAIL：lei.dai@siat.ac.cn
WEBSITE：http://www.leidailab.cn/
Publications/Patents (selected)
Hongbin Liu #, Chen Liao #, Lu Wu , Jinhui Tang, Junyu Chen, Chaobi Lei, Linggang Zheng, Chenhong Zhang, Yang-Yu Liu, Joao Xavier, Lei Dai*. Ecological dynamics of the gut microbiome in response to dietary fiber. ISME Journal (2022)
Linggang Zheng,# Yang Tan,*,# Yucan Hu, Juntao Shen, Zepeng Qu, Xianbo Chen, Chun Loong Ho, Elaine Lai-Han Leung, Wei Zhao, and Lei Dai*. CRISPR/Cas-Based Genome Editing for Human Gut Commensal Bacteroides Species. ACS Synthetic Biology (2022)
Ying Wang, Jinhui Tang,Qingqing Lv,Yuxiang Tan, Xiaoxiao Dong, Hongbin Liu, Nannan Zhao, Zhen He,Yan Kou,Yan Tan, Xin-an Liu,Liping Wang,Yang-Yu Liu, and Lei Dai*. Establishment and resilience of transplanted gut microbiota in aged mice. iScience (2021)
Du, Y., Xin, L., Shi, Y., Zhang, T., Wu, N.C., Dai, L., Gong, D., Brar, G.,Shu,S., Luo, J., Reiley, W., Tseng, Y., Bai, H., Wu, T., Wang, J., Shu, Y., Sun, R. Genome-wide identification of interferon-sensitive mutations enables influenza vaccine design. Science (2018)
Du, Y.*, Zhang, T.*, Dai, L.*, Zheng, X.*, Gorin, A., Oishi, J., Wu, T., Yoshizawa J.M., Li, X., Yang O.O.,Martinez, O., Detels, R., Sun, R. 1. Effects of mutations on replicative fitness and MHC-I binding affinity are among the determinants underlying CTL escape of HIV-1 Gag Epitopes. mBio (2017)