Exploring Sequence Space through Automated Aptamer Selection

Abstract

Theoretical studies focusing on the nature of landscapes that correlate molecular sequences to molecular function have mainly been carried out in silico due to the vast amounts of data that are needed. Automated in vitro selection is capable of producing significant amounts of data in a short time, making theoretical modeling with real experimental data attainable. A Biomek 2000 Laboratory Automation Workstation has been outfitted to carry out multiple in vitro nucleic acid selections in parallel, yielding substantial amounts of data for theoretical studies. A random sequence population of nucleic acids is initially generated by a combination of chemical synthesis and enzymatic amplification. On the workstation, this population is parsed for its ability to bind a protein, lysozyme. After each round of selection, the selected nucleic acid binding species (also known as aptamers) are amplified by a combination of reverse transcription polymerase chain reaction (PCR) and in vitro transcription. All eight pools that have undergone selection have yielded different sequences.