Aptamers in analytics

dc.contributor.author Ilgu, Muslum
dc.contributor.author Nilsen-Hamilton, Marit
dc.contributor.department Biochemistry, Biophysics and Molecular Biology
dc.contributor.department Ames National Laboratory
dc.contributor.department Biochemistry, Biophysics and Molecular Biology, Roy J. Carver Department of
dc.contributor.department Ames Laboratory
dc.date 2019-06-22T12:17:11.000
dc.date.accessioned 2020-06-29T23:46:32Z
dc.date.available 2020-06-29T23:46:32Z
dc.date.copyright Fri Jan 01 00:00:00 UTC 2016
dc.date.issued 2016-03-07
dc.description.abstract <p>Nucleic acid aptamers are promising alternatives to antibodies in analytics. They are generally obtained through an iterative SELEX protocol that enriches a population of synthetic oligonucleotides to a subset that can recognize the chosen target molecule specifically and avidly. A wide range of targets is recognized by aptamers. Once identified and optimized for performance, aptamers can be reproducibly synthesized and offer other key features, like small size, low cost, sensitivity, specificity, rapid response, stability, and reusability. This makes them excellent options for sensory units in a variety of analytical platforms including those with electrochemical, optical, and mass sensitive transduction detection. Many novel sensing strategies have been developed by rational design to take advantage of the tendency of aptamers to undergo conformational changes upon target/analyte binding and employing the principles of base complementarity that can drive the nucleic acid structure. Despite their many advantages over antibodies, surprisingly few aptamers have yet been integrated into commercially available analytical devices. In this review, we discuss how to select and engineer aptamers for their identified application(s), some of the challenges faced in developing aptamers for analytics and many examples of their reported successful performance as sensors in a variety of analytical platforms.</p>
dc.description.comments <p>This is a manuscript of an article published as Ilgu, Muslum, and Marit Nilsen-Hamilton. "Aptamers in analytics." <em>Analyst</em> 141, no. 5 (2016): 1551-1568. doi: <a href="http://dx.doi.org/10.1039/c5an01824b" target="_blank">10.1039/c5an01824b</a>. Posted with permission.</p>
dc.format.mimetype application/pdf
dc.identifier archive/lib.dr.iastate.edu/bbmb_ag_pubs/218/
dc.identifier.articleid 1227
dc.identifier.contextkey 14329060
dc.identifier.s3bucket isulib-bepress-aws-west
dc.identifier.submissionpath bbmb_ag_pubs/218
dc.identifier.uri https://dr.lib.iastate.edu/handle/20.500.12876/10686
dc.language.iso en
dc.source.bitstream archive/lib.dr.iastate.edu/bbmb_ag_pubs/218/2016_Nilsen_AptamersAnalyticsManuscript.pdf|||Fri Jan 14 22:39:09 UTC 2022
dc.source.uri 10.1039/c5an01824b
dc.subject.disciplines Biochemistry, Biophysics, and Structural Biology
dc.subject.disciplines Genetics
dc.subject.disciplines Molecular Genetics
dc.title Aptamers in analytics
dc.type article
dc.type.genre article
dspace.entity.type Publication
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relation.isOrgUnitOfPublication 25913818-6714-4be5-89a6-f70c8facdf7e
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