Our research explores the role of repetitive DNA elements in cancer initiation and progression. We ask whether these elements are directly involved in mechanisms of cancer initiation, and, if so, can we use this information to improve patient outcomes. Many next-generation sequencing technology and analytic pipeline has been developed to capture the feature and changes of the epigenetic factors such as transcriptional or the post-translational chromatin changes and the binding at the specific localization on the chromatin and sequences of DNA or RNA which are captured by the defensive protein in both bulk and single-cell resolution.
The technologies used to advance research in our field are those that can map the genomic positions of modified histones or transcription factors on chromatin. For our purposes, the most relevant technique within this umbrella of technologies is a technique called CUT&RUN. Many publicly available CUT&RUN analysis pipeline are relatively complex for the bioinformatic beginner who want to understand the flow of the analysis and to develop their own analysis pipeline for their project.
But our CUT&RUN analysis pipeline are developed in step-by-step manner in single program language, which are much easier to understand the flow and easier to modify to get their publication-quality data and to build up the experience for the bioinformatics. We are key focusing on to find the answer about how chronic double-stranded RNA expression affect the biomimicry evasion and the immunotherapy rates in cancer development, and how TP53 protein can regulate the chronic double-stranded RNA expression and the biomimicry evasion. And at the end, we want to understand how we can cure the immunotherapy resistant cancer by understanding and targeting the chronic double-stranded RNA expression and the biomimicry evasion process.
