纳米医学
鉴定(生物学)
计算生物学
分布(数学)
脂质体
过程(计算)
纳米技术
计算机科学
材料科学
生物
纳米颗粒
数学分析
植物
数学
操作系统
作者
Jeongbin Park,Jinyeong Choi,Jae Eun Lee,Hongyoon Choi,Hyung‐Jun Im
标识
DOI:10.1002/smtd.202201091
摘要
The intratumoral accumulation of nanomedicine has been considered a passive process, referred to as the enhanced permeability and retention effect. Recent studies have suggested that the tumor uptake of nanomedicines follows an energy-dependent pathway rather than being a passive process. Herein, to explore the factor candidates that are associated with nanomedicine tumor uptake, a molecular marker identification platform is developed by integrating microscopic fluorescence images of a nanomedicine distribution with spatial transcriptomics information. When this approach is applied to PEGylated liposomes, molecular markers related to hypoxia, glycolysis, and apoptosis can be identified as being related to the intratumoral distribution of the nanomedicine. It is expected that the method can be applied to explain the distribution of a wide range of nanomedicines and that the data obtained from this analysis can enhance the precise utilization of nanomedicines.
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