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Genomic, transcriptomic, and metabolomic analysis of Traditional Chinese Medicine plant Oldenlandia corymbosa reveals the biosynthesis and mode of action of anti-cancer metabolites

  • Irene Julca
  • , Daniela Mutwil-Anderwald
  • , Vaishnervi Manoj
  • , Zahra Khan
  • , Soak Kuan Lai
  • , Lay Kien Yang
  • , Ing Tsyr Beh
  • , Jerzy Dziekan
  • , Yoon Pin Lim
  • , Shen Kiat Lim
  • , Yee Wen Low
  • , Yuen In Lam
  • , Yuguang Mu
  • , Qiao Wen Tan
  • , Przemyslaw Nuc
  • , Le Min Choo
  • , Gillian Khew
  • , Shining Loo
  • , Antony Kam
  • , James P. Tam
  • Zbynek Bozdech, Maximilian Schmidt, Bjoern Usadel, Y oganathan s/o Kanagasundaram, Saleh Alseekh, Alisdair Fernie, Hoi Yeung Li, Marek Mutwil*
*Corresponding author for this work
  • Nanyang Technological University
  • Singapore Institute of Food and Biotechnology Innovation (SIFBI)
  • National University of Singapore
  • Singapore Botanical Gardens, National Parks Board
  • Adam Mickiewicz University Polar Station
  • IBG-4 Bioinformatics
  • Max-Planck-Institut
  • Center of Plant Systems Biology and Biotechnology

Research output: Contribution to journalArticle

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Abstract

Natural products from traditional medicinal plants are valuable candidates for clinical cancer therapy. Plants from the Oldenlandia-Hedyotis complex are popular ingredients of Traditional Chinese Medicine (TCM), however a major hurdle in the plant bioprospecting process of TCM plants is that the active metabolites, their biosynthetic pathways, and mode of action are often unknown. We show that Oldenlandia corymbosa extracts are active against breast cancer cell lines. To study the genes involved in the biosynthesis of active compounds in this medicinal plant, we assembled a high-quality genome. We show that the main active compound is ursolic acid and that abiotic stresses cause changes in anti-cancer activity, metabolite composition, and gene expression of plants. To reveal the mode of action of ursolic acid, we show that cancer cells undergo mitotic catastrophe, and we identify three high-confidence protein binding targets by Cellular Thermal Shift Assay (CETSA) and reverse docking.
Original languageEnglish
JournalbioRxiv
Publication statusPublished - 15 Jun 2022

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

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