Poster abstracts

Poster number 82 submitted by Farshad Niazi

Analysis of the features of functional long non-coding RNAs

Farshad Niazi (RNA Center, CWRU), Justin Pruttivarasin (RNA Center, CWRU), Cen Guo, Jing Li, Saba Valadkhan (RNA Center, CWRU)

Abstract:
Long Non-coding RNAs have recently been the focus of many studies due to their apparently ubiquitous regulatory role in almost all higher eukaryotes. In order to gain insight into the features that may help us differentiate this group of regulatory RNAs from the protein-coding ones, we have created a relational database of studied non-coding RNAs which have been proven to have a cellular function. We have analyzed the different features of these lncRNAs and have compared them with a control group of protein-coding messages that were randomly chosen using the BIOMART random picks feature. The analysis logic and visualization layer were implemented in Python language. The selected RNAs were analyzed for the various features of their predicted ORFs, miRNAs and splicing patterns. The outcome of the analysis indicated differences in the splicing patterns, sequence composition of the RNAs and the size and sequence patterns of the predicted ORFs in the two groups. Some of these differences can be used to differentiate the protein-coding messages from the lncRNAs with a high degree of certainty. The results of these analyses will be presented in detail.

Keywords: lncRNA, miRNA, Pattern