Massively parallel pooled screening reveals genomic determinants of nanoparticle delivery.

ABSTRACT: To accelerate the translation of cancer nanomedicine, we used an integrated genomic approach to improve our understanding of the cellular processes that govern nanoparticle trafficking. We developed a massively parallel screen that leverages barcoded, pooled cancer cell lines annotated with multiomic data to investigate cell association patterns across a nanoparticle library spanning a range of formulations with clinical potential. We identified both materials properties and cell-intrinsic features that mediate nanoparticle-cell association. Using machine learning algorithms, we constructed genomic nanoparticle trafficking networks and identified nanoparticle-specific biomarkers. We validated one such biomarker: gene expression of SLC46A3, which inversely predicts lipid-based nanopa

SUBMITTER: Boehnke N 

PROVIDER: S-EPMC10249039 | biostudies-literature | 2022 Jul

REPOSITORIES: biostudies-literature