HERB: a high-throughput experiment- and reference-guided database of traditional Chinese medicine

Pharmacotranscriptomics has become a powerful approach for evaluating the therapeutic efficacy of drugs and discovering new drug targets. Recently, studies of traditional Chinese medicine (TCM) have increasingly turned to high-throughput transcriptomic screens for molecular effects of herbs/ingredients. And numerous studies have examined gene targets for herbs/ingredients, and link herbs/ingredients to various modern diseases. However, there is currently no systematic database organizing these data for TCM. Therefore, we built HERB, a high-throughput experiment- and reference-guided database of TCM, with its Chinese name as BenCaoZuJian. We re-analyzed 6164 gene expression profiles from 1037 high-throughput…

• NN
  National Natural Science Foundation of China

  Awards: 91740113, 32070670
• CP
  China Postdoctoral Science Foundation

  Award: 2019M660033
• CF
  Center for Africana Studies, Johns Hopkins University

  Award: 20186060
• NK
  National Key Research and Development Program of China

  Awards: 2018YFD1000604, 2018YFC1313000, 2019YFC1709801, 2018YFC1313001, 2018YFC1704106, 2018YFC1704100
• NS
  Natural Science Foundation of Zhejiang Province

  Award: LY21C060003