School of Science Division of Life Science 19 Chinese Herbal Medicine for General Health Supervisor: LIANG Chun / LIFS Student: WU Zehaoyu / BCB Course: UROP2100, Fall Hyperlipidaemia has been stressed for its threat to the cardiovascular system in the recent years and people has been developing counteractions to the disorder. Traditional Chinese medicine (TCM) has also demonstrated its effects on the regulation of this disorder. This study utilized HepG2 cell line to establish a hyperlipidaemia cell model to examine the preventing and relieving efficacy on hyperlipidaemia of two TCM single herbs, Chen Pi and Huang Qi by examining their effects on AMPK through Western Blotting. With the observed lipid controlling effects, possible mechanism of lipid regulation of two tested TCM components was preliminarily established. Anticancer Drug Resistant Mechanisms Supervisor: LIANG Chun / LIFS Student: AU Chun Kei / BISC Course: UROP1100, Fall Cancer refers to uncontrollable cell division which can be characterized by multi-daughter cell division during the cell division cycle in our body. Multi-daughter cell division will give rise to more than 2 daughter cells which deviated from the normal cell division pathway and cycle. To investigate the effect of multi-daughter cell on cancer progression, we used 2 cell linages, 2-3 and 2-7. By making comparison with HeLa, we can figure out the cell length, multi-daughter cell division percentage and cell division duration to identify any abnormalities in cell division cycle of a cancer-resistant cell linage. The 2-3 and 2-7 cell linage was obtained from M2, an anticancer drug. By identifying the phenotypical appearance of the 2-3 and 2-7 cell linage, we can deduce their anticancer drug resistance behavior and their survival stress under progressive M2 drug concentration gradient. Human Complex Disease Genomics and Bioinformatics Supervisor: LIANG Chun / LIFS Co-supervisor: XUE Hong / LIFS Student: HUI Cheuk Him / BIBU Course: UROP2100, Fall UROP3100, Spring This study aims to identify the common SNV patterns for brain tumors, hence providing a genomic basis for early diagnosis and treatment. AluScan sequencing was performed on 10 sample sets of various types of brain tumors: mainly Meningiomas and Glioblastoma. SNVs were analyzed by comparing the genomic DNA from a brain tumor with white blood cells controls for each sample set. Upon comparison of mutation profiles across samples, different types of brain tumors were found to share similar SNV patterns as follows: The frequency of loss of heterozygosity (LOH) is markedly higher than that of gain of heterozygosity (GOH). GOH is enriched with NCG-to-NTG and ACT-to-AGT alterations, whereas LOH is enriched with NTG-to-NCG, ACC-to-AGC, and ACT-to-AGT alterations.