Computational Approaches Toward the Design of Pools for the in Vitro Selection of Complex Aptamers
Overview
Authors
Affiliations
It is well known that using random RNA/DNA sequences for SELEX experiments will generally yield low-complexity structures. Early experimental results suggest that having a structurally diverse library, which, for instance, includes high-order junctions, may prove useful in finding new functional motifs. Here, we develop two computational methods to generate sequences that exhibit higher structural complexity and can be used to increase the overall structural diversity of initial pools for in vitro selection experiments. Random Filtering selectively increases the number of five-way junctions in RNA/DNA pools, and Genetic Filtering designs RNA/DNA pools to a specified structure distribution, whether uniform or otherwise. We show that using our computationally designed DNA pool greatly improves access to highly complex sequence structures for SELEX experiments (without losing our ability to select for common one-way and two-way junction sequences).
Research Progress in Small-Molecule Detection Using Aptamer-Based SERS Techniques.
Zheng L, Ye Q, Wang M, Sun F, Chen Q, Yu X Biosensors (Basel). 2025; 15(1).
PMID: 39852080 PMC: 11764255. DOI: 10.3390/bios15010029.
McConnell E, Chan D, Ventura K, Callahan J, Harris K, Hunt V Mol Ther Nucleic Acids. 2024; 35(3):102251.
PMID: 39377064 PMC: 11456556. DOI: 10.1016/j.omtn.2024.102251.
In vitro selection of aptamers and their applications.
DeRosa M, Lin A, Mallikaratchy P, McConnell E, McKeague M, Patel R Nat Rev Methods Primers. 2023; 3.
PMID: 37969927 PMC: 10647184. DOI: 10.1038/s43586-023-00247-6.
Minimizing amplification bias during reverse transcription for in vitro selections.
Lucas J, Gruenke P, Burke D RNA. 2023; 29(8):1301-1315.
PMID: 37192815 PMC: 10351896. DOI: 10.1261/rna.079650.123.
Aptamer Technology and Its Applications in Bone Diseases.
Liu X, Hu J, Ning Y, Xu H, Cai H, Yang A Cell Transplant. 2023; 32:9636897221144949.
PMID: 36591965 PMC: 9811309. DOI: 10.1177/09636897221144949.