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دسته بندی:
داده کاوی - data mining
سال انتشار:
2018
عنوان انگلیسی مقاله:
Data mining of nutrigenomics experiments: Identification of a cancer protective gene signature
ترجمه فارسی عنوان مقاله:
داده کاوی آزمایش های nutrigenomics: شناسایی امضاي ژن محافظتی سرطان
منبع:
Sciencedirect - Elsevier - Journal of Functional Foods, 42 (2018) 380-386: doi:10:1016/j:jff:2018:01:021
نویسنده:
Roberto Martín-Hernándeza,⁎, Guillermo Reglerob,c, Alberto Dávalosd
چکیده انگلیسی:
Regular consumption of certain foods has shown beneficial effects on cardiometabolic health. However, it is not
clear by which molecular mechanisms they may exert their beneficial effects. Many genomic experiments
available in public databases have generated gene expression data following the treatment of human cells with
different food nutrients. Exploration of such data offers great possibilities for gaining insights into the molecular
effects of nutrients at cellular level. In this work, we explored the genomic responses triggered by food bioactive
compounds with well-known healthy properties. We show that human cell lines treated with different food
compounds tend to cluster in a cell type dependent manner based on gene expression, with an influence of the
physiological attributes of cells. Finally, we identify a genomic signature of 18 genes implicated in cell cycle,
which may characterize a protective effect of certain food compounds against cancer. Our data provides evi
dence that nutrigenomic studies found in public databases can be used to discover novel signatures of gene
expression and identify common mechanism of actions of food bioactive compounds.
Keywords: Nutrigenomics ، Microarrays ، Clustering ، Gene signature ، Anticancer
قیمت: رایگان
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