Lipid nanoparticles (LNPs) are gaining huge importance in drug delivery, especially for mRNA therapeutics. However, LNPs are versatile and dynamic objects, and designing an appropriate LNP to meet a specific delivery goal is still an evolving field. Combining different ratios of various lipids to create an optimal moiety requires extensive experimental work, which is not feasible without high-throughput methods. In these methods, a library of hundreds of LNPs is created and formulated with a reporter mRNA (e.g., GFP mRNA) and administered to an animal. Additionally, each LNP is tagged with a unique DNA barcode that identifies each individual formulation in each tissue. Based on this principle, after the reporter signal is expressed in a tissue, the DNA barcode is revealed by deep sequencing, allowing identification of the corresponding LNP(s). This is a brief review of the recent accomplishments and challenges in high-throughput barcoding technology.
Learning Objectives:
To inform the audience about how LNPs enhance mRNA therapeutics and how researchers strive to optimize them through insights gained from high-throughput screening studies.
To emphasize the importance and impact of computational methods on improving experimental research
