ArticleDatabase : the journal of biological databases and curation2019
NutriGenomeDB: a nutrigenomics exploratory and analytical platform.
Article in Database : the journal of biological databases and curation, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed, 24 citations in OpenAlex.
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- Eat4Genes: a bioinformatic rational gene targeting app and prototype model for improving human health.Frontiers in nutrition · 2023Article
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- Applications of Machine Learning Models to Predict and Prevent Obesity: A Mini-Review.Frontiers in nutrition · 2022Review
- Computational Approaches for Cancer-Fighting: From Gene Expression to Functional Foods.Cancers · 2021Article
- The landscape of nutri-informatics: a review of current resources and challenges for integrative nutrition research.Database : the journal of biological databases and curation · 2021Review
- LC-N2G: a local consistency approach for nutrigenomics data analysis.BMC bioinformatics · 2020Article
- Review
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Authors and funding
4 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Habitual consumption of certain foods has shown beneficial and protective effects against multiple chronic diseases. However, it is not clear by which molecular mechanisms they may exert their beneficial effects. Multiple -omic experiments available in public databases have generated gene expression data following the treatment of human cells with different food nutrients and bioactive compounds. Exploration of such data in an integrative manner offers excellent possibilities for gaining insights into the molecular effects of food compounds and bioactive molecules at the cellular level. Here we present NutriGenomeDB, a web-based application that hosts manually curated gene sets defined from gene expression signatures, after differential expression analysis of nutrigenomics experiments performed on human cells available in the Gene Expression Omnibus (GEO) repository. Through its web interface, users can explore gene expression data with interactive visualizations. In addition, external gene signatures can be connected with nutrigenomics gene sets using a gene pattern-matching algorithm. We further demonstrate how the application can capture the primary molecular mechanisms of a drug used to treat hypertension and thus connect its mode of action with hosted food compounds.
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Registered trials
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