Identification of differentially expressed long non-coding RNAs in a model of neuron differentiation

Fatima Khan

In the study, transcriptomic data from control and differentiated SH-SY5Y human neuroblastoma cells was analyzed to identify differentially expressed lncRNA. The raw data was quality tested, mapped to the human reference genome, and quantified to reveal differentially expressed (DE) genes. Of 3108 DE genes, 2291 were protein-coding and 817 were non-coding. Of these non-coding genes, 475 were upregulated and 342 were downregulated, and include lncRNAs, antisense and intronic transcripts, and transcripts coded from pseudogenes.
Major: 
Biology
Exhibition Category: 
Health and Life Sciences
Exhibition Format: 
Poster Presentation
Campus: 
Harrisburg
Faculty Sponsor: 
Nikolaos Tsotakos
Poster Number: 
83