High-throughput quantification of drug loading into advanced delivery systems at the single particle scale
High-throughput quantification of drug loading into advanced delivery systems at the single particle scale
批准号:
2785685
负责人:
金额:
$0.0万
依托单位:
依托单位国家:
英国
项目类别:
Studentship
财政年份:
2023
资助国家:
英国
项目状态:
未结题
起止时间:
2023 至 --
中文摘要
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英文摘要
Diseases that affect the skeletal system can be particularly difficult to treat. To enhance drug targeting, attempts have been made to engineer synthetic lipid-based nanoparticle drug delivery systems (DDS, e.g. liposomes). Over the last 25 years, advancements have occurred by varying lipid composition or by engineering the nanoparticle surface through the attachment of tissue-targeting ligands such as antibodies. Nonetheless, biodistribution studies have shown that most of these particles accumulate in the liver (<70%) with a maximum of 0.7% uptake observed in clinical targets. Our bodies have evolved natural networks for the targeted exchange of biological materials. These sophisticated nanoparticle carriers, termed extracellular vesicles, are naturally adapted to avoid clearance by the immune system and traverse complex biological barriers that prohibit the crossing of up to 98% of small molecule drugs. As such, EVs offer a novel and biocompatible alternative for advanced drug delivery that provide enhanced selectivity at sites that are currently difficult or even impossible to reach. Despite the advantages offered by EV technologies, attempts to exploit these particles for the delivery of therapeutic cargos are limited due to a lack of high-throughput analytical methods capable of accurately quantifying drug loading efficiency and localisation. This interdisciplinary project will adapt and optimise a state-of-the-art nano-flow cytometry platform (NanoFCM) to develop a future high-throughput technique capable of quantifying drug loading at the nano-scale.
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国内基金
海外基金
Identification and quantification of primary phytoplankton functional types in the global oceans from hyperspectral ocean color remote sensing
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批准号:--
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项目类别:--
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资助金额:160万元
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批准年份:2022
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负责人:李忠平
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依托单位:
高维半参数模型的稳健统计推断
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批准号:
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项目类别:省市级项目
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资助金额:10.0万元
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批准年份:2022
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负责人:姜云卢
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依托单位:
玉米幼苗干旱胁迫应答NAC转录因子基因的筛选和鉴定
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批准号:31201268
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项目类别:青年科学基金项目
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资助金额:25.0万元
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批准年份:2012
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负责人:韩兆雪
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依托单位: