Affiliation:
1. Department of Biology, University of Copenhagen, DK-2200 Copenhagen N, Denmark
2. Center for RNA Medicine, Department of Clinical Medicine, Aalborg University, DK-2450 Copenhagen SV, Denmark
Abstract
Crohn disease (CD) is a type of inflammatory bowel disease that causes inflammation in the digestive tract. Cases of CD are increasing worldwide, calling for more research to elucidate the pathogenesis of CD. For this purpose, the usage of the RNA-sequencing (RNA-seq) technique is increasingly appreciated, as it captures RNA expression patterns at a particular time point in a high-throughput manner. Although many RNA-seq datasets are generated from CD patients and compared to those of healthy donors, most of these datasets are analyzed only for protein-coding genes, leaving non-coding RNAs (ncRNAs) undiscovered. Long non-coding RNAs (lncRNAs) are any ncRNAs that are longer than 200 nucleotides. Interest in studying lncRNAs is increasing rapidly, as lncRNAs bind other macromolecules (DNA, RNA, and/or proteins) to finetune signaling pathways. To fill the gap in knowledge about lncRNAs in CD, we performed secondary analysis of published RNA-seq data of CD patients compared to healthy donors to identify lncRNA genes and their expression changes. To further facilitate lncRNA research in CD, we built a web database, CrohnDB, to provide a one-stop-shop for expression profiling of protein-coding and lncRNA genes in CD patients compared to healthy donors.
Funder
Department of Clinical Medicine, Aalborg University
Subject
Applied Mathematics,Modeling and Simulation,General Computer Science,Theoretical Computer Science
Cited by
2 articles.
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