Browsing by Subject "aptamer"

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    Beyond the cycle: investigating the sequencing, binding affinity, and utility of aptamers selected with CE-SELEX.
    (2023-02) Brinza, Nicholas
    Aptamers are single stranded DNA or RNA sequences that bind with high affinity to a target molecule. The discovery of sequences that can bind to a target of interest starts with a mixture of random sequences which are refined through repeated incubation with the target followed by amplification of binding sequences in a process known as systematic evolution of ligands by exponential enrichment (SELEX). Aptamers produced by multiple SELEX rounds can assist bioanalytical scientific research through detecting molecules of interest in biosensors and have the potential to improve drug delivery to specific cells in humans. However, developing aptamers capable of useful application is difficult due to multiple unique challenges. Quantifying the ability for a pool of aptamers produced by SELEX to bind to a target has no single perfect method. In the field of aptamer research, scientists employ a variety of binding affinity tests which contain specific advantages and disadvantages. Reported values for binding affinity vary between different methods. When a pool does show evidence of most sequences binding, identifying the best sequences in a mixture of more than thousands of unique base pair arrangements provides a separate challenge. Finally, even after finding a sequence with evidence of strong binding to a desired target, there remains uncertainty if the aptamer will bind to the target as well in a real-world application as it does in a carefully controlled lab environment. This study examines aptamers at three distinct stages of development for separate capillary electrophoresis SELEX (CE-SELEX) experiments. For an aptamer already selected against transferrin receptor 1 (TfR1) with high affinity, a combination of flow cytometry and confocal microscopy provided evidence the aptamer did not significantly internalize into cancerous liver cells used to model human drug delivery. A separate aptamer pool, previously developed over 4 rounds of selection against low-density lipoprotein receptor (LDLR), is analyzed with preexisting bioinformatic tools as well as custom Python code on next generation sequencing (NGS) data, revealing a primer dimer sequence from polymerase chain reaction (PCR) which impacted the selection of aptamer length candidates but remained at a lower frequency than one possible aptamer candidate. After performing 4 rounds of CE-SELEX against mouse leptin, testing the binding affinity of rounds 1-3 with CE showed weak evidence of binding in early rounds which was lost in later rounds after correcting for an earlier false positive result. Documenting CE problems and optimization, even for an unsuccessful aptamer selection, may help improve future CE research, while detailing the experimental set up, discovery, and correction of the false positive result is important to help prevent future misleading conclusions.