A literature-based approach for curating gene signatures in multifaceted diseases.
J Transl Med
; 18(1): 279, 2020 07 10.
Article
em En
| MEDLINE
| ID: mdl-32650786
ABSTRACT
BACKGROUND AND AIMS:
The 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.METHODS:
From the available literature, we used Acumenta Literature LabTM (LitLab), network analyses, and LitLab Gene Retriever to assemble a gene pool that has a high likelihood of representing immunity-related subtype-specific signatures of IBD.RESULTS:
We 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.CONCLUSIONS:
In 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.
Texto completo:
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Coleções:
01-internacional
Base de dados:
MEDLINE
Assunto principal:
Doenças Inflamatórias Intestinais
/
Colite Ulcerativa
/
Doença de Crohn
Limite:
Humans
Idioma:
En
Revista:
J Transl Med
Ano de publicação:
2020
Tipo de documento:
Article
País de afiliação:
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