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- https://bme.gatech.edu/news/all-one-sequencing-key-improving-lipid-nanoparticle-effectiveness
- https://www.nature.com/articles/s41565-022-01146-9
ããç²åã®ã·ã³ã°ã«ã»ã«ãã«ããªãã¯ã¹ãªãŒãã¢ãŠãã«ããã现èã®äžåäžæ§ãè質ããç²åãä»ããã¡ãã»ã³ãžã£ãŒRNAééã«åœ±é¿ããããšãæããã«ã Nanoparticle single-cell multiomic readouts reveal that cell heterogeneity influences lipid nanoparticle-mediated messenger RNA delivery
Curtis Dobrowolski,Kalina Paunovska,Elisa Schrader Echeverri,David Loughrey,Alejandro J. Da Silva Sanchez,Huanzhen Ni,Marine Z. C. Hatit,Melissa P. Lokugamage,Yanina Kuzminich,Hannah E. Peck,Philip J. Santangelo & James E. Dahlman
Nature Nanotechnology Published:30 June 2022
DOI:https://doi.org/10.1038/s41565-022-01146-9

Abstract
Cells that were previously described as homogeneous are composed of subsets with distinct transcriptional states. However, it remains unclear whether this cell heterogeneity influences the efficiency with which lipid nanoparticles (LNPs) deliver messenger RNA therapies in vivo. To test the hypothesis that cell heterogeneity influences LNP-mediated mRNA delivery, we report here a new multiomic nanoparticle delivery system called single-cell nanoparticle targeting-sequencing (SENT-seq). SENT-seq quantifies how dozens of LNPs deliver DNA barcodes and mRNA into cells, the subsequent protein production and the transcriptome, with single-cell resolution. Using SENT-seq, we have identified cell subtypes that exhibit particularly high or low LNP uptake as well as genes associated with those subtypes. The data suggest that cell subsets have distinct responses to LNPs that may affect mRNA therapies.

