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dc.contributor.authorStone, Nicoleeng
dc.contributor.authorPangilinan, Faitheng
dc.contributor.authorMolloy, Anne M.eng
dc.contributor.authorShane, Barryeng
dc.contributor.authorScott, John M.eng
dc.contributor.authorUeland, Per Magneeng
dc.contributor.authorMills, James L.eng
dc.contributor.authorKirke, Peader N.eng
dc.contributor.authorSethupathy, Praveeneng
dc.contributor.authorBrody, Lawrence C.eng
dc.date.accessioned2012-02-27T14:44:58Z
dc.date.available2012-02-27T14:44:58Z
dc.date.issued2011-07-12eng
dc.identifier.citationPLoS ONE 6(7): e21851en
dc.identifier.issn1932-6203eng
dc.identifier.urihttp://hdl.handle.net/1956/5650
dc.description.abstractOne-carbon metabolism (OCM) is linked to DNA synthesis and methylation, amino acid metabolism and cell proliferation. OCM dysfunction has been associated with increased risk for various diseases, including cancer and neural tube defects. MicroRNAs (miRNAs) are ,22 nt RNA regulators that have been implicated in a wide array of basic cellular processes, such as differentiation and metabolism. Accordingly, mis-regulation of miRNA expression and/or activity can underlie complex disease etiology. We examined the possibility of OCM regulation by miRNAs. Using computational miRNA target prediction methods and Monte-Carlo based statistical analyses, we identified two candidate miRNA ‘‘master regulators’’ (miR-22 and miR-125) and one candidate pair of ‘‘master co-regulators’’ (miR-344-5p/484 and miR-488) that may influence the expression of a significant number of genes involved in OCM. Interestingly, miR-22 and miR-125 are significantly up-regulated in cells grown under low-folate conditions. In a complementary analysis, we identified 15 single nucleotide polymorphisms (SNPs) that are located within predicted miRNA target sites in OCM genes. We genotyped these 15 SNPs in a population of healthy individuals (age 18–28, n = 2,506) that was previously phenotyped for various serum metabolites related to OCM. Prior to correction for multiple testing, we detected significant associations between TCblR rs9426 and methylmalonic acid (p = 0.045), total homocysteine levels (tHcy) (p = 0.033), serum B12 (p , 0.0001), holo transcobalamin (p , 0.0001) and total transcobalamin (p , 0.0001); and between MTHFR rs1537514 and red blood cell folate (p , 0.0001). However, upon further genetic analysis, we determined that in each case, a linked missense SNP is the more likely causative variant. Nonetheless, our Monte-Carlo based in silico simulations suggest that miRNAs could play an important role in the regulation of OCM.en
dc.language.isoengeng
dc.publisherPublic Library of Scienceeng
dc.rightsAttribution CC BYeng
dc.rights.urihttp://creativecommons.org/licenses/by/2.5/eng
dc.titleBioinformatic and Genetic Association Analysis of MicroRNA Target Sites in One-Carbon Metabolism Geneseng
dc.typePeer reviewedeng
dc.typeJournal articleeng
dc.subject.nsiVDP::Mathematics and natural science: 400::Basic biosciences: 470::Cell biology: 471eng
dc.rights.holderCopyright 2011 Stone et al.
dc.type.versionpublishedVersioneng
bora.peerreviewedPeer reviewedeng
bibo.doihttp://dx.doi.org/10.1371/journal.pone.0021851eng
dc.identifier.doihttp://dx.doi.org/10.1371/journal.pone.0021851


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