title: TIBS: a web database to browse gene expression in irritable bowel syndrome.
abstract: Irritable bowel syndrome (IBS) is a chronic functional gastrointestinal disorder. Its symptoms include chronic abdominal pain, bloating gas, diarrhea and constipation. Many IBS patients also have psychological symptoms like depression or anxiety. These unpleasant symptoms significantly lower patients׳ quality of life. The prevalence of IBS in Europe and North America is about 10-15% of the population, which makes IBS a disorder with a high social cost. The pathophysiology of IBS is considered to be multifactorial and the exact cause of the disease remains poorly understood. Recently, a genome-wide expression microarray technique has been applied to investigate the possible mechanisms of IBS. However, a user-friendly database that allows scientists without bioinformatics background to query gene expression levels in these data sets and compare gene expression patterns across different tissues has not yet been established. Therefore, we have integrated four public expression microarray data (320 samples) from the Gene Expression Omnibus (GEO) and ArrayExpress databases into an online database called Transcriptome of Irritable Bowel Syndrome (TIBS). The gene expression change in IBS patients compared to healthy volunteers or UC patients in jejunum, sigmoid colon, rectum, and descending colon can be queried by gene symbols. Users can compare gene expression levels of IBS patients across these tissues. Sex difference of gene expression in IBS patients was also shown in the database. The current version of TIBS database contains 42,400 annotated gene probe sets represented on the Affymetrix Human Genome U133 plus 2.0 platform. TIBS will be an invaluable resource for a better understanding of the pathogenesis of IBS at the molecular level and for drug development. The TIBS database is available online at http://www.chengfeng.info/tibs_database.html.
authors.affiliation: Institute of First Clinical Medicine, Nanjing University of Chinese Medicine, Nanjing 210046, Jiangsu, People Republic of China. Electronic address: yanjing0513@126.com.
authors.forename: Jing
authors.initials: J
authors.lastname: Yan
authors.affiliation: Department of Pharmaceutical Science, College of Pharmacy, University of South Florida, Tampa 33612, USA. Electronic address: yxu@mail.usf.edu.
authors.forename: Yan
authors.initials: Y
authors.lastname: Xu
authors.affiliation: Essenology Software Inc., Wuxi 214187, People Republic of China. Electronic address: brianwhu@yahoo.com.
authors.forename: Brian
authors.initials: B
authors.lastname: Hu
authors.affiliation: Department of Biology, Faculty of Mathematics and Natural Sciences, University of Cologne, Cologne 50674, Germany. Electronic address: salnajm@smail.uni-koeln.de.
authors.forename: Sammy
authors.initials: S
authors.lastname: Alnajm
authors.affiliation: Institute of First Clinical Medicine, Nanjing University of Chinese Medicine, Nanjing 210046, Jiangsu, People Republic of China. Electronic address: lina_liu606@126.com.
authors.forename: Lina
authors.initials: L
authors.lastname: Liu
authors.affiliation: Department of Pharmacology, College of Pharmacy, Nanjing University of Chinese Medicine, Nanjing 210046, People Republic of China. Electronic address: profyinlu@163.com.
authors.forename: Yin
authors.initials: Y
authors.lastname: Lu
authors.affiliation: Institute of First Clinical Medicine, Nanjing University of Chinese Medicine, Nanjing 210046, Jiangsu, People Republic of China. Electronic address: pr_zhiguangsun@163.com.
authors.forename: Zhiguang
authors.initials: Z
authors.lastname: Sun
authors.affiliation: Department of Pharmaceutical Science, College of Pharmacy, University of South Florida, Tampa 33612, USA; Department of Department of Epidemiology and Biostatistics, College of Public Health, University of South Florida, Tampa 33612, USA. Electronic address: fcheng1@health.usf.edu.
authors.forename: Feng
authors.initials: F
authors.lastname: Cheng
mesh_terms: D030541:Databases, Genetic; D005786:Gene Expression Regulation; D006801:Humans; D015212:Inflammatory Bowel Diseases / Q000235:genetics* / Q000378:metabolism*; D020407:Internet; D059467:Transcriptome
keywords: Bioinformatics; IBS; Microarray; Online server; Ulcerative colitis