Distefano, Rebecca and Ilieva, Mirolyuba and Madsen, Jens Hedelund and Uchida, Shizuka (2023) CrohnDB: A Web Database for Expression Profiling of Protein-Coding and Long Non-Coding RNA Genes in Crohn Disease. Computation, 11 (6). p. 105. ISSN 2079-3197
computation-11-00105-v2.pdf - Published Version
Download (3MB)
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.
Item Type: | Article |
---|---|
Subjects: | Journal Eprints > Computer Science |
Depositing User: | Managing Editor |
Date Deposited: | 30 May 2023 11:22 |
Last Modified: | 23 Jan 2024 04:21 |
URI: | http://repository.journal4submission.com/id/eprint/2134 |