GCSP research stipend | Summer 2024

Enhancing Molecular Robot Algorithms for DNA-Based Cargo Sorting Using DNA-PAINT Imaging

Molecular robots use natural algorithms to navigate and transport cargo within the molecular landscape, demonstrating the potential for precise molecular manipulation. However, obtaining data to assess the effectiveness of algorithms that govern the movement of these robots remains a challenge. Through high-resolution imaging, the research team can observe and analyze the interactions and movements of these robots, providing crucial data for refining their algorithms. DNA-PAINT imaging technology enables the visualization of DNA nanorobot movement with a 10-nm resolution or better, making it a valuable tool for studying molecular robots designed for DNA-based cargo sorting. The research team imaged DNA nanorobots imaging at multiple time points, ranging from 0 sec to 48 hours. Preliminary data shows that 25% of DNA nanobots reach the goal line. Current efforts focus on improving the purification, DNA-PAINT imaging protocols to minimize false positives due to the stoichiometric error in mixing DNA nanorobot components and overall performance of the nanorobot. The improvement in algorithmic efficiency is expected to enhance the accuracy of molecular cargo transport.