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Overview Research Site Status and Provenance Access and Downloads
Dataset Title
A DNA Aptamer for Theophylline with Ultrahigh Selectivity Reminiscent of the Classic RNA Aptamer
Dataset DOI
https://doi.org/10.20383/102.0714
Related Paper DOIs (one per line)
This dataset is cited by https://doi.org/10.1021/acschembio.2c00179
Abstract
Since the report of the RNA aptamer for theophylline, theophylline has become a key molecule in chemical biology for designing RNA switches and riboswitches. In addition, theophylline is an important drug for treating airway diseases including asthma. The classic RNA aptamer with excellent selectivity for theophylline has been used to design biosensors, although DNA aptamers are more desirable for stability and cost considerations. In this work, we selected DNA aptamers for theophylline, and all the top sequences shared the same binding motifs. Binding was confirmed using isothermal titration calorimetry and a nuclease digestion assay, showing a dissociation constant (Kd) around 0.5 μM theophylline. The Theo2201 aptamer can be truncated down to 23-mer while still has a Kd of 9.8 μM. The selectivity for theophylline over caffeine is around 250,000-fold based on a strand-displacement assay, which was more than 20-fold higher compared to the classic RNA aptamer. For other tested analogs, the DNA aptamer also showed better selectivity. Using the structure-switching aptamer sensor design method, a detection limit of 17 nM theophylline was achieved in the selection buffer, and a detection limit of 31 nM was obtained in 10% serum.
Program Affiliations
GWF: Global Water Futures
GWFO: Global Water Futures Observatories
Creators and Contributors
NameRoleEmailInstitution
Po-Jung Jimmy Huang
Principal Investigator
p8huang@uwaterloo.ca
University of Waterloo
Juewen Liu
Associate or Co-investigator
liujw@uwaterloo.ca
University of Waterloo
Keywords
Keyword
DNA
SELEX
Aptamer
Theophylline
Biosensor
RNA
Citations
Huang, P., Liu, J. (2023). A DNA Aptamer for Theophylline with Ultrahigh Selectivity Reminiscent of the Classic RNA Aptamer. Federated Research Data Repository. https://doi.org/10.20383/102.0714
Temporal Extent
Begin Date
End Date
2020-09-01
2021-03-01
Dataset Creation Date
2023-04-25
Status of data collection/production
○ Planned
○ In Progress
○ Abandoned
◉ Complete
○ Web Service
Dataset Completion or Abandonment Date
2023-04-25
Data Update Frequency
○ Continually
○ Daily
○ Weekly
○ Biweekly
○ Monthly
○ Anually
○ As needed
○ Irregular
○ None planned
◉ Unknown
Primary Source of Data
◻ Unknown/Unspecified
◻ Census
◻ Field collected samples
◻ Field experiment
◻ Field observation
◻ Field survey
▣ Human biological samples
▣ Lab experiment
◻ Model simulation
◻ Previously collected
◻ Qualitative (from observations or interviews)
◻ Social survey
◻ Traditional knowledge
◻ Other Source of Data (Please specify in field below)
Terms of Use
Creative Commons Public Domain Dedication (CC0 1.0) https://creativecommons.org/publicdomain/zero/1.0/
Does the data have access restrictions?
▣ No restriction (data is currently open to public)
◻ Limited (data is currently under embargo until publication)
◻ Limited (data involves intellectual property issues related to local or traditional knowledge)
◻ Limited (release of data may cause harm to the environment or to the public)
◻ Limited (pre-existing data has been used and is subject to access restrictions)
◻ Limited (data involves human subjects)
◻ Limited (data is supported by industry partnerships)
◻ Limited (data is supported by government partnerships)
Datasets and Real-time Data Feeds
Data Centre Postings
Download Links and Instructions
https://doi.org/10.20383/102.0714
Total Size of all Dataset Files (GB)
0.00121
File formats and online databases
◻ Link to online database or web services (e.g., WISKI, ECCC)
◻ Archive files (.zip, .rar, .7z, .tar, .tgz, .tar.gz, etc.)
◻ CSV files (.csv - comma or tab separated value files)
▣ Excel document files (.xlsx, .xls)
◻ Image files (e.g., .tiff, .jpeg, .png, .gif, etc.)
◻ NetCDF files (.netcdf, .nc)
▣ Text files (.txt)
◻ Word document files (.docx, .doc)
◻ Other (Please specify in field below)
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