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dc.contributor.authorZhong, Guocai
dc.contributor.authorWang, Haimin
dc.contributor.authorBailey, Charles C.
dc.contributor.authorGao, Guangping
dc.contributor.authorFarzan, Michael
dc.date2022-08-11T08:09:46.000
dc.date.accessioned2022-08-23T16:43:00Z
dc.date.available2022-08-23T16:43:00Z
dc.date.issued2016-11-02
dc.date.submitted2017-04-14
dc.identifier.citationElife. 2016 Nov 2;5. pii: e18858. doi: 10.7554/eLife.18858. <a href="https://doi.org/10.7554/eLife.18858">Link to article on publisher's site</a>
dc.identifier.issn2050-084X (Linking)
dc.identifier.doi10.7554/eLife.18858
dc.identifier.pmid27805569
dc.identifier.urihttp://hdl.handle.net/20.500.14038/40205
dc.description.abstractEfforts to control mammalian gene expression with ligand-responsive riboswitches have been hindered by lack of a general method for generating efficient switches in mammalian systems. Here we describe a rational-design approach that enables rapid development of efficient cis-acting aptazyme riboswitches. We identified communication-module characteristics associated with aptazyme functionality through analysis of a 32-aptazyme test panel. We then developed a scoring system that predicts an aptazymes's activity by integrating three characteristics of communication-module bases: hydrogen bonding, base stacking, and distance to the enzymatic core. We validated the power and generality of this approach by designing aptazymes responsive to three distinct ligands, each with markedly wider dynamic ranges than any previously reported. These aptayzmes efficiently regulated adeno-associated virus (AAV)-vectored transgene expression in cultured mammalian cells and mice, highlighting one application of these broadly usable regulatory switches. Our approach enables efficient, protein-independent control of gene expression by a range of small molecules.
dc.language.isoen_US
dc.relation<a href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=pubmed&cmd=Retrieve&list_uids=27805569&dopt=Abstract">Link to Article in PubMed</a>
dc.rightsCopyright © 2016, Zhong et al.
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subjectRNA switch
dc.subjectaptazyme
dc.subjectbiochemistry
dc.subjectgene regulation
dc.subjecthuman
dc.subjectmammalian cells
dc.subjectmouse
dc.subjectsmall molecule
dc.subjectBiochemistry
dc.subjectGenetics and Genomics
dc.titleRational design of aptazyme riboswitches for efficient control of gene expression in mammalian cells
dc.typeJournal Article
dc.source.journaltitleeLife
dc.source.volume5
dc.identifier.legacyfulltexthttps://escholarship.umassmed.edu/cgi/viewcontent.cgi?article=4005&amp;context=oapubs&amp;unstamped=1
dc.identifier.legacycoverpagehttps://escholarship.umassmed.edu/oapubs/3000
dc.identifier.contextkey10021742
refterms.dateFOA2022-08-23T16:43:00Z
html.description.abstract<p>Efforts to control mammalian gene expression with ligand-responsive riboswitches have been hindered by lack of a general method for generating efficient switches in mammalian systems. Here we describe a rational-design approach that enables rapid development of efficient cis-acting aptazyme riboswitches. We identified communication-module characteristics associated with aptazyme functionality through analysis of a 32-aptazyme test panel. We then developed a scoring system that predicts an aptazymes's activity by integrating three characteristics of communication-module bases: hydrogen bonding, base stacking, and distance to the enzymatic core. We validated the power and generality of this approach by designing aptazymes responsive to three distinct ligands, each with markedly wider dynamic ranges than any previously reported. These aptayzmes efficiently regulated adeno-associated virus (AAV)-vectored transgene expression in cultured mammalian cells and mice, highlighting one application of these broadly usable regulatory switches. Our approach enables efficient, protein-independent control of gene expression by a range of small molecules.</p>
dc.identifier.submissionpathoapubs/3000
dc.contributor.departmentGene Therapy Center
dc.source.pagese18858


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Copyright © 2016, Zhong et al.
Except where otherwise noted, this item's license is described as Copyright © 2016, Zhong et al.