It is becoming increasingly evident that the non-coding genome and transcriptome exert great influence over their coding counterparts through complex molecular interactions. Among non-coding RNAs (ncRNA), long non-coding RNAs (lncRNAs) in particular present increased potential to participate in dysregulation of post-transcriptional processes through both RNA and protein interactions. Since such processes can play key roles in contributing to cancer progression, it is desirable to continue expanding the search for lncRNAs impacting cancer through post-transcriptional mechanisms. The sheer diversity of mechanisms requires diverse resources and methods that have been developed and refined over the past decade. We provide an overview of computational resources as well as proven low-to-high throughput techniques to enable identification and characterisation of lncRNAs in their complex interactive contexts. As more cancer research strategies evolve to explore the non-coding genome and transcriptome, we anticipate this will provide a valuable primer and perspective of how these technologies have matured and will continue to evolve to assist researchers in elucidating post-transcriptional roles of lncRNAs in cancer.
I would first like to thank my supervisor Asst. Prof. Li Yinghui for the opportunity to do my MSc in her lab. I greatly appreciate all the support and guidance you have given me. I also thank you for trusting me to do this part time degree while working full time as a Research Officer in your lab. Many thanks for being patient with me and understanding during the trying periods of my research. You passion for research has help given me the drive needed to continue when morale was low. This endeavour would not have been possible without your mentorship and motivation.To the examiner of this thesis, thank you for agreeing to take the time to review and evaluate my thesis. Next I would like to thank Asst. Prof. Nathan Harmston and Ellora Chua from Yale NUS and Dr Chen Bei Jun for the bioinformatics analysis which greatly helped to get the project moving. Thank you for you for taking the time to analyse my data and provide timely comments and feedback. I'm sincerely grateful for working with the tight deadlines and large data sets. Finally I would like to thank all the other members of LYH lab. Special mention goes out to my fellow Research Assistant Andrea Budiman for helping cover my administrative duties when I was performing key experiments. Thank you for being understanding and supportive when I needed help. Thank you also to the other pioneer Research Assistants Farah Farhana and Nhi for helping to get the lab started and helping me get starting with my research here. Lastly, thank you to all other member of LYH lab Dr Ng Yee Ching, Dr Jean-Michel Carter, Nicholas Sim and Peng Chenchen for your input in my thesis be it through helping with experiments or discussion about my research.
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