4.8 Article

Comprehensive profiling of the ligand binding landscapes of duplexed aptamer families reveals widespread induced fit

Journal

NATURE COMMUNICATIONS
Volume 9, Issue -, Pages -

Publisher

NATURE PUBLISHING GROUP
DOI: 10.1038/s41467-017-02556-3

Keywords

-

Funding

  1. Canadian Institutes of Health Research (CIHR)
  2. Natural Sciences and Engineering Research Council of Canada (NSERC)
  3. India-Canada Centre for Innovative Multidisciplinary Partnerships to Accelerate Community Transformation and Sustainability (IC-IMPACTS)
  4. Canada Foundation for Innovation (CFI)
  5. NSERC Canada Graduate Scholarship
  6. Canada Research Chair

Ask authors/readers for more resources

Duplexed aptamers (DAs) are ligand-responsive constructs engineered by hybridizing an aptamer with an aptamer-complementary element (ACE, e.g., a DNA oligonucleotide). Although DAs are commonly deployed, the binding dynamics of ternary ACE-aptamer-ligand systems remain underexplored, having been conventionally described by a conformational selection framework. Here we introduce aptamer-complementary element scanning (ACE-Scan) as a method to generate comprehensive hybridization, spontaneous off-rate, and induced fit ligand-binding landscapes for entire DA families. ACE-Scan reveals induced fit in DAs engineered from small molecule- and protein-binding DNA and RNA aptamers, as well as DAs engineered from the natural add riboswitch aptamer. To validate ACE-Scan, we engineer solution-phase ATP-specific DAs from 5 ACEs with varying spontaneous and induced fit off-rates, generating aptasensors with 8-fold differences in dynamic range consistent with ACE-Scan. This work demonstrates that ACE-Scan can readily map induced fit in DAs, empowering aptamers in biosensing, synthetic biology, and DNA nanomachines.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.8
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available