Aptamer Selection, Characterization, 3D Structure Simulation And Target Identification
Aptamer selection techniques will be helpful for you if your task is to develop target-recognition elements with high affinity and specificity against different types of targets. Aptamers are short, single-stranded DNA or RNA molecules (ssDNA or ssRNA) that can selectively bind to a specific target, including proteins, peptides, small molecules, toxins, living cells, ions. They are universal and bind to targets with high selectivity and specificity. The binding of the aptamer is determined by the tertiary structure.
This type of selection will be useful If you are interested in development of different diagnostic and therapeutic tools for biomedicine based on aptamers. Aptamers could be used as antibodies analogs for diagnostic, therapeutic, and bio-industrial applications.
This type of selection could be used if you are interested in fast, accurate and cheap diagnostic and therapeutic means based on aptamers. An important advantage of diagnostic and therapeutic aptamers is that they are chemically stable and robust. They are able to restore their activity after denaturation and heating. They can be stored for a long time at room temperature.
We select aptamers to the desired (positive) target using Cell SELEX, Tissue SELEX, or LIGs technologies from the standard DNA library of oligonucleotides of choice. As a result, we get several pools according to the number of rounds of aptamer selection. Each pool contains a large number of aptamer sequences with different binding efficiency to the target. Selection quality control is carried out using agarose gel electrophoresis.
We select the aptamer pool that has the highest affinity and specificity for the target using flow cytometry. To determine the affinity of the target, we use a positive target for selection (cells, tissues or other objects to which the selection was performed). To determine the specificity, we use the negative targets that were used in the selection. We process the obtained data with the Kaluza 2.0 software.
We verify flow cytometry data using fluorescence or confocal laser scanning microscopy. The received data is processed using ZEN software.
Based on flow cytometry and microscopy data, we select the aptamer pool with the highest affinity and specificity to the target. If the result is not satisfactory, we introduce additional selection rounds or modify the selection technology to achieve a better result (at no extra charge).