RNA-seq을 이용한 간암의 신규 전사체 발굴

Alternative Title
Identification of novel transcripts in hepatocellular carcinoma using RNA-seq
Author(s)
Kim Yoon Hee
Alternative Author(s)
YoonHee Kim
Advisor
우현구
Department
일반대학원 의생명과학과
Publisher
The Graduate School, Ajou University
Publication Year
2016-02
Language
eng
Keyword
RNA-Sequencingnovel transcriptsHCC
Alternative Abstract
Recent advances in sequencing technologies have helped the finding of novel transcripts by deep RNA sequencing (RNA-Seq). The approach to identify novel transcripts using RNA-Seq has been studied, however, prediction of their functional roles in cancers are not studied thoroughly. Here, I constructed new pipeline to identify putative novel transcripts which might play functional roles in hepatocellular carcinoma (HCC) using reference based assembly method, which revealed 20 novel candidate transcripts. With those candidate transcripts, I predicted whether they have functions involved in cancer progression. Firstly, I identified function ontology for high sequence similarity gene sets of each novel transcript. Similarity genes had significant enriched function in regulation of transcription and regulation of RNA metabolic process. And I confirmed that the expressions of the candidate genes were correlated with those of the genes with sequence similarity. Secondly, putative binding proteins were identified by applying a prediction algorithm for RNA-RNA interaction. Collectively, I found the putative transcripts which might have functional roles in cancer progression by showing the functional enrichment of their putative targets genes with correlated expression, binding potential, and sequence similarity. In this study, new pipeline detected novel transcripts in HCC that may have functional roles. This approach will apply to further study to predict functional role of novel transcript in cancer.
URI
https://dspace.ajou.ac.kr/handle/2018.oak/18797
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Graduate School of Ajou University > Department of Biomedical Sciences > 3. Theses(Master)
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