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Perturbations of Circulating miRNAs in Irritable Bowel Syndrome Detected Using a Multiplexed High-throughput Gene Expression Platform
Published on: November 30, 2016
Discovery of new long noncoding RNAs associated with ulcerative colitis with a novel general microarray expression
Yueying Chen1, HanyangLi Li1, Lijie Lai1
1Division of Gastroenterology and Hepatology, Key Laboratory of Gastroenterology and Hepatology, Ministry of Health, Inflammatory Bowel Disease Research Center, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai Institute of Digestive Disease, 160# Pu Jian Ave, Shanghai 200127, China.
This study introduces a new computational method to identify long noncoding RNAs (lncRNAs) involved in ulcerative colitis (UC) pathogenesis using existing microarray data. It found specific lncRNAs are dysregulated in UC patients and inflammatory conditions.
Area of Science:
- Genomics
- Molecular Biology
- Gastroenterology
Background:
- Ulcerative colitis (UC) is a chronic inflammatory bowel disease with unknown causes, increasing bowel cancer risk.
- Long noncoding RNAs (lncRNAs) are increasingly recognized for their roles in disease pathogenesis.
- Microarray technology provides a platform for large-scale gene expression analysis.
Purpose of the Study:
- To develop a computational method for identifying functionally conserved lncRNAs in ulcerative colitis (UC) using cDNA microarray probe genomics data.
- To investigate the potential roles of specific lncRNAs in the pathogenesis of UC.
- To establish a novel approach for re-annotating transcriptome expression profiles from existing microarray data.
Main Methods:
- Analysis of 12,593 microarray probes from Ensembl, OMIM, UniGene, and Gene Ontology databases.
- Computational identification of evolutionary conserved lncRNAs associated with UC.
- Validation of lncRNA expression in colon tissue samples from UC patients.
- In vitro validation in Caco2/bbe and T84 cell lines treated with TNF-α.
Main Results:
- lncRNA n385775 was significantly upregulated (P < 0.001) in active UC patients.
- lncRNAs n336281 (P = 0.017), n341081 (P = 0.041), and n387236 (P = 0.006) were significantly downregulated in UC patients.
- lncRNA n38775 showed significant upregulation in Caco2/bbe cells after TNF-α treatment (P = 0.002).
Conclusions:
- A novel computational method can effectively re-annotate transcriptome expression profiles from existing cDNA microarray data to study lncRNA function in UC.
- Specific lncRNAs (n385775, n336281, n341081, n387236) show altered expression in UC and inflammatory conditions, suggesting their involvement in disease pathogenesis.
- This approach offers a valuable strategy for uncovering the functional roles of lncRNAs in complex diseases like UC.
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