School of Science Division of Life Science 28 Standardization of Traditional Chinese Medicines Supervisor: TSIM Karl Wah Keung / LIFS Student: KIM Seo Hyun / BIOT Course: UROP1100, Fall UROP2100, Spring First found in 2019, Covid-19 has caused severe casualties and impact on every segment of the world leading to economical slump. To overcome the pandemic, scientists have been developing drugs to treat the disease to promote active social interactions without the risk of infection and death. Traditional Chinese Medicine has been put on the spotlight for a potential resolution for effective treatment. Although several drugs had been developed and some are still under standardization, TCMs such as Jinhua Qinggan granules, Tetradrine, Cepharanthine and Nelfinavir have proven of their efficacy through multiple studies. With multiple herbs with different cellular mechanism involved, they are able to alleviate pulmonary disease symptoms from mild (cough, headache) to severe (fluid retention in lungs). Standardization of Traditional Chinese Medicines Supervisor: TSIM Karl Wah Keung / LIFS Student: NG Siu Fung / BCB Course: UROP1100, Spring Danggui Buxue Tang (DBT) is a traditional herbal formula that is proven to be capable of alleviating menopausal symptoms. Premature ovarian failure (POF), the abnormally early occurrence of menopause, is not a well-studied disease and thus there is currently no effective treatment to recover ovarian function. Two recent studies found that DBT might be able to treat POF by suppressing apoptosis. Quercetin and kaempferol were found to be bioactive components that could exert a certain effect similar to DBT on rat models. These two compounds could act as markers for the standardisation of DBT. Combining in vivo experiments and in silico analysis, not only could the therapeutic effect of DBT but also the pathogenesis of POF be elucidated. Computational Study of Long Noncoding RNAs in Cancer Supervisor: WANG Jiguang / LIFS Student: WU Yurong / CHEM Course: UROP4100, Fall UROP4100, Spring Cancer, which is an incurable disease, is one of the most popular topics among biologists. Despite this, the problem remains unsolved. In this project, we approach the problem using long-noncoding RNAs (lncRNAs), which were considered not as functional as protein-coding genes because it does not encode mRNAs that translate to proteins. Later, more research found that some processes are related to lncRNAs. With RNA sequencing (RNA-Seq), we can obtain the expression data of various lncRNA genes in different samples of cancers. Analyzing them can help us find out the pattern of expression of these genes in various types of cancers, which helps elucidate the mechanisms and develop treatments and drugs that cure cancers.