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演講訊息

Rational design of site-specific glycan-masking and glycan-unmasking HA antigens as new-generation influenza vaccines

Auditorium A134, Agricultural Technology Building, Agricultural Biotechnology Research Center
2018/04/09 10:30 AM
Dr. Suh-Chin Wu (Professor, Institute of Biotechnology, National Tsing Hua University, Taiwan)
Host: Shu-Mei Liang


A Transcriptome Based Approach To The Identification Of Candidate Molecular Mechanisms In Traditional Chinese Medicine

Auditorium A134, Agricultural Technology Building, Agricultural Biotechnology Research Center
2018/04/16 10:30 AM
Dr. David Adelson (Professor and Chair of Bioinformatics and Computational Genetics, School of Molecular and Biomedical Science, The University of Adelaide, Australia)
Host: Wen-Chin Yang
Background:
There is little evidence based medicine supporting TCM, particularly with respect to potential molecular modes of action of TCM preparations. Because TCM preparations are often combinations of multiple herbs containing hundreds of compounds, they have been difficult to study. Compound Kushen Injection (CKI) is one such complex mixture and has been in use in hospitals in China for over twenty years for the integrated treatment of cancer. The development of high throughput -omics methods has allowed better characterization of TCM, and we have previously identified many differentially expressed genes regulated by CKI in a breast cancer cell line.
Methods:
We have applied high-throughput transcriptome data in two additional cancer cell lines and integrated our differential expression results across cell lines to identify a reduced set of differentially expressed (DE) candidate genes as well as a reproducible set of candidate pathways that are perturbed by CKI.
Results:
CKI induced cell-cycle arrest and apoptosis. We identified 363 core candidate genes that were associated with cell cycle, apoptosis, DNA replication/repair and various cancer pathways. Of these, 7 are known to be clinically relevant to cancer diagnosis or therapy and 14 are cell cycle regulators, and most of these 21 candidates are downregulated by CKI. Comparison of our core candidate genes to a database of plant medicinal compounds and their effects on gene expression identified one-to-one, one-to-many and many-to-many regulatory relationships between compounds in CKI and DE genes.

Conclusion:
By identifying a number of promising candidate pathways and genes associated with CKI based on our transcriptome based analysis, we have shown this type of approach is useful for the systematic analysis of molecular changes resulting from complex mixtures of bioactives in the context of cancer therapy.


  

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