Literature DB >> 30189130

Competition-Enhanced Ligand Selection to Identify DNA Aptamers.

Maeling J N Tapp, Joseph M Slocik1, Patrick B Dennis1, Rajesh R Naik1, Valeria T Milam.   

Abstract

Competition-enhanced ligand screening (CompELS) was employed to rapidly screen through large DNA libraries to identify single-stranded, oligonucleotide-based ligands called aptamers that bind to a nonbiological target. This previously unreported aptamer screening approach involves the repeated introduction of unenriched random sequence populations during the biopanning process, but avoids iterative elution and polymerase chain reaction (PCR) amplification steps inherent to traditional SELEX (systematic evolution of ligands by exponential enrichment) screening. In this study, 25 aptamers were identified against a gold surface via CompELS and evaluated to identify patterns in primary structures and predicted secondary structures. Following a final one-round competition experiment with the 25 identified aptamers, one particular aptamer sequence (1N) emerged as the most competitive adsorbate species for the gold substrate. Binding analysis indicated at least an order of magnitude difference in the binding affinity of 1N ( Kd = 5.6 × 10-10 M) compared to five other high affinity aptamer candidates ( Kd = 10-8-10-9 M) from identical secondary structure families. Collectively, these studies introduce a rapid, reliable screening and ranking platform along with a classification scheme well-suited for identifying and characterizing aptamers for nonbiological as well as biological targets.

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Keywords:  CompELS; aptamers; ligands; non-SELEX; oligonucleotides

Mesh:

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Year:  2018        PMID: 30189130     DOI: 10.1021/acscombsci.8b00048

Source DB:  PubMed          Journal:  ACS Comb Sci        ISSN: 2156-8944            Impact factor:   3.784


  1 in total

Review 1.  Modified Nucleic Acids: Expanding the Capabilities of Functional Oligonucleotides.

Authors:  Steven Ochoa; Valeria T Milam
Journal:  Molecules       Date:  2020-10-13       Impact factor: 4.411

  1 in total

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