ArticleMolecular medicine reports2017
Integrated strategy of differentially expressed genes associated with ulcerative colitis.
Article in Molecular medicine reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
7 citing papers in PubMed, 12 citations in OpenAlex.
- Integrative bioinformatics and deep learning to identify common genetic pathways in Crohn's disease and ischemic cardiomyopathy.Journal, genetic engineering & biotechnology · 2025Article
- ProbioticFrontiers in microbiology · 2024Article
- Bioinformatics Analysis of Differentially Expressed Genes and Protein-Protein Interaction Networks Associated with Functional Pathways in Ulcerative Colitis.Medical science monitor : international medical journal of experimental and clinical research · 2021Article
- Carboxypeptidase A6 was identified and validated as a novel potential biomarker for predicting the occurrence of active ulcerative colitis.Journal of cellular and molecular medicine · 2020Article
- Identification of Differential Intestinal Mucosa Transcriptomic Biomarkers for Ulcerative Colitis by Bioinformatics Analysis.Disease markers · 2020Article
- Identification of differentially expressed genes, associated functional terms pathways, and candidate diagnostic biomarkers in inflammatory bowel diseases by bioinformatics analysis.Experimental and therapeutic medicine · 2019Article
- Article
Corrections and comments
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Authors and funding
8 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Ulcerative colitis (UC) is a chronic inflammatory bowel disease that is associated with both genetic and environmental factors; however, the underlying pathogenesis of UC remains unclear. The present study aimed to further explore 12 microarray datasets from patients with UC obtained from the Gene Expression Omnibus repository, for potential genetic pathogenesis of UC through a global bioinformatics view, which included identification of differentially expressed genes (DEGs), functional enrichments, protein‑protein interactions, transcriptional and post‑transcriptional regulation and drug‑gene associations. This integrated analysis screened 233 DEGs that were compared between UC and normal control tissue samples; these included 173 upregulated and 60 downregulated DEGs. Subsequently, transcription factors, such as TATA‑binding protein 1 (TBP1; hsa_TATAAA_V$TATA_01) and nuclear factor-κB (NF-κB; hsa_V$NFKAPPAB_01) and microRNAs (miRNAs; such as miR‑516‑3p and miR‑23a) were revealed to be associated with 233 DEGs. Notably, further analysis indicated that these DEGs were enriched in certain diseases, including inflammation, fibrosis and immune system diseases, and were also associated with some drugs, including prednisone, collagenase and mycophenolate mofetil, which may provide choice for treatment of UC. In conclusion, this study may provide novel insights into discovering potential molecular targets involved in the pathogenesis and treatment of UC.
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Registered trials
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