ArticleJournal of translational medicine2020
A literature-based approach for curating gene signatures in multifaceted diseases.
Article in Journal of translational medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- Predictive biomarkers for anti-TNF alpha therapy in IBD patients.Journal of translational medicine · 2024Review
- Harnessing the Power of Precision Medicine and Novel Biomarkers to Treat Crohn's Disease.Journal of clinical medicine · 2023Review
- Enhancing genomic mutation data storage optimization based on the compression of asymmetry of sparsity.Frontiers in genetics · 2023Article
- Inflammatory Bowel Disease Treatments and Predictive Biomarkers of Therapeutic Response.International journal of molecular sciences · 2022Review
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Authors and funding
4 authors.
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Abstract
BACKGROUND AND
aimsThe task of identifying a representative and yet manageable target gene list for assessing the pathogenesis of complicated and multifaceted diseases is challenging. Using Inflammatory Bowel Disease (IBD) as an example, we conceived a bioinformatic approach to identify novel genes associated with the various disease subtypes, in combination with known clinical control genes.
methodsFrom the available literature, we used Acumenta Literature Lab
resultsWe generated six relevant gene lists and 21 intersections that contain genes with unique literature associations to Crohn's Disease (n = 60), Ulcerative Colitis (n = 17), and unclassified (n = 45) subtypes of IBD. From this gene pool, we then filtered and constructed, using network analysis, a final list of 142 genes that are the most representative of the disease and its subtypes.
conclusionsIn this paper, we present the bioinformatic construction of a gene panel that putatively contains subtype signatures of IBD, a multifactorial disease. These gene signatures will be tested as biomarkers to classify patients with IBD, which has been a clinically challenging task. Such approach to diagnose and monitor complicated disease pathogenesis is a stepping-stone towards personalized care.
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