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dc.contributor.authorMartinez, Natalia Julia
dc.contributor.authorOw, Maria C.
dc.contributor.authorBarrasa, M. Inmaculada
dc.contributor.authorHammell, Molly
dc.contributor.authorSequerra, Reynaldo
dc.contributor.authorDoucette-Stamm, Lynn
dc.contributor.authorRoth, Frederick P.
dc.contributor.authorAmbros, Victor R.
dc.contributor.authorWalhout, Albertha J. M.
dc.date2022-08-11T08:08:51.000
dc.date.accessioned2022-08-23T16:09:49Z
dc.date.available2022-08-23T16:09:49Z
dc.date.issued2008-09-17
dc.date.submitted2009-02-19
dc.identifier.citationGenes Dev. 2008 Sep 15;22(18):2535-49. <a href="http://dx.doi.org/10.1101/gad.1678608">Link to article on publisher's site</a>
dc.identifier.issn0890-9369 (Print)
dc.identifier.doi10.1101/gad.1678608
dc.identifier.pmid18794350
dc.identifier.urihttp://hdl.handle.net/20.500.14038/32792
dc.description.abstractMicroRNAs (miRNAs) and transcription factors (TFs) are primary metazoan gene regulators. Whereas much attention has focused on finding the targets of both miRNAs and TFs, the transcriptional networks that regulate miRNA expression remain largely unexplored. Here, we present the first genome-scale Caenorhabditis elegans miRNA regulatory network that contains experimentally mapped transcriptional TF --> miRNA interactions, as well as computationally predicted post-transcriptional miRNA --> TF interactions. We find that this integrated miRNA network contains 23 miRNA <--> TF composite feedback loops in which a TF that controls a miRNA is itself regulated by that same miRNA. By rigorous network randomizations, we show that such loops occur more frequently than expected by chance and, hence, constitute a genuine network motif. Interestingly, miRNAs and TFs in such loops are heavily regulated and regulate many targets. This "high flux capacity" suggests that loops provide a mechanism of high information flow for the coordinate and adaptable control of miRNA and TF target regulons. Y1H dataset can be found as a supplemental file to this paper. See Additional Files below.
dc.language.isoen_US
dc.relation<a href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=pubmed&cmd=Retrieve&list_uids=18794350&dopt=Abstract">Link to Article in PubMed</a>
dc.subjectAnimals; Animals, Genetically Modified; Caenorhabditis elegans; *Genome; MicroRNAs; Polymerase Chain Reaction; Transcription, Genetic
dc.subjectLife Sciences
dc.subjectMedicine and Health Sciences
dc.titleA C. elegans genome-scale microRNA network contains composite feedback motifs with high flux capacity
dc.typeJournal Article
dc.source.journaltitleGenes and development
dc.source.volume22
dc.source.issue18
dc.identifier.legacyfulltexthttps://escholarship.umassmed.edu/cgi/viewcontent.cgi?article=2344&amp;context=gsbs_sp&amp;unstamped=1
dc.identifier.legacycoverpagehttps://escholarship.umassmed.edu/gsbs_sp/1345
dc.identifier.contextkey727540
dc.file.descriptionY1H dataset (XLS, 100 KB)
refterms.dateFOA2022-08-30T20:07:38Z
html.description.abstract<p>MicroRNAs (miRNAs) and transcription factors (TFs) are primary metazoan gene regulators. Whereas much attention has focused on finding the targets of both miRNAs and TFs, the transcriptional networks that regulate miRNA expression remain largely unexplored. Here, we present the first genome-scale Caenorhabditis elegans miRNA regulatory network that contains experimentally mapped transcriptional TF --> miRNA interactions, as well as computationally predicted post-transcriptional miRNA --> TF interactions. We find that this integrated miRNA network contains 23 miRNA <--> TF composite feedback loops in which a TF that controls a miRNA is itself regulated by that same miRNA. By rigorous network randomizations, we show that such loops occur more frequently than expected by chance and, hence, constitute a genuine network motif. Interestingly, miRNAs and TFs in such loops are heavily regulated and regulate many targets. This "high flux capacity" suggests that loops provide a mechanism of high information flow for the coordinate and adaptable control of miRNA and TF target regulons.</p> <p>Y1H dataset can be found as a supplemental file to this paper. See <strong>Additional Files</strong> below.</p>
dc.identifier.submissionpathgsbs_sp/1345
dc.contributor.departmentProgram in Molecular Medicine
dc.contributor.departmentProgram in Gene Function and Expression
dc.contributor.departmentGraduate School of Biomedical Sciences
dc.source.pages2535-49


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