2018
DOI: 10.1021/acs.nanolett.8b03149
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Modifying a Commonly Expressed Endocytic Receptor Retargets Nanoparticles in Vivo

Abstract: Nanoparticles are often targeted to receptors expressed on specific cells, but few receptors are (i) highly expressed on one cell type and (ii) involved in endocytosis. One unexplored alternative is manipulating an endocytic gene expressed on multiple cell types; an ideal gene would inhibit delivery to cell type A more than cell type B, promoting delivery to cell type B. This would require a commonly expressed endocytic gene to alter nanoparticle delivery in a cell type-dependent manner in vivo; whether this c… Show more

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Cited by 37 publications
(43 citation statements)
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“…The term "liver gene therapy" is often used to unilaterally describe all gene therapy approaches for treating diseases originating in hepatocytes. Although hepatocytes are the most prominent cell type within the liver, several other cell types can interact with nanoparticles and affect their performance [41][42][43][44]. It is therefore recommended that scientists expand their LNP studies to include single cell quantification rather than the whole liver.…”
Section: Cell Types Within the Liver Microenvironmentmentioning
confidence: 99%
“…The term "liver gene therapy" is often used to unilaterally describe all gene therapy approaches for treating diseases originating in hepatocytes. Although hepatocytes are the most prominent cell type within the liver, several other cell types can interact with nanoparticles and affect their performance [41][42][43][44]. It is therefore recommended that scientists expand their LNP studies to include single cell quantification rather than the whole liver.…”
Section: Cell Types Within the Liver Microenvironmentmentioning
confidence: 99%
“…As an additional control, we assessed the potency of LNP1 compared to a previously reported LNP with potency at 0.2 mg / kg (Figure 3M); LNP1 outperformed this positive control LNP (Figure 3N–Q) between 14- and 77-fold within the liver microenvironment. We then used QUANT [20] , a highly sensitive biodistribution system. to assess LNP biodistribution, for LNP1, LNP2, and LNP1-Chol.…”
mentioning
confidence: 99%
“…We investigated whether the amount of LNPs that reached the cells (i.e., biodistribution) mirrored the functional readouts. We therefore measured the LNP biodistribution of the 109 LNP pool across liver cell-types using QUANT, a technique used to quantify LNP biodistribution using droplet digital PCR (ddPCR) 25 ; we previously compared QUANT biodistribution readouts to fluorescent biodistribution readouts and found QUANT to be more sensitive. 25 After isolating the tdTomato + liver cells using FACS, we used ddPCR to quantify the absolute amount of DNA barcode in Kupffer cells, liver endothelial cells, and hepatocytes.…”
Section: To Evaluate Whether Constrained Phospholipids Consistently Fmentioning
confidence: 99%