声学液滴喷射促进了使用天然产物进行基于细胞的高通量筛选。

IF 2.5 4区 医学 Q3 BIOCHEMICAL RESEARCH METHODS
Thomas A. Mackenzie, José R. Tormo, Bastien Cautain, Germán Martínez, Isabel Sánchez, Olga Genilloud, Francisca Vicente, Maria C. Ramos
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引用次数: 0

摘要

天然产物是药物发现的主要来源之一。许多临床药物都是NP或NP启发的化合物,最近发现的NP的新化学实体(NCEs)正在成为有前景的新药。大样本集或文库的高通量筛选(HTS)对药物发现领域至关重要。NP文库的工业规模HTS可能会受到限制,因为在处理微小的提取物体积和NP提取物粘度的可变性方面存在困难。由于这些原因,实现不同试剂体积的小型化的新技术变得至关重要。自从声学液滴喷射(ADE)作为一种有用的工具出现在HTS活动中,用于转移化合物库。这项工作的目的是测试ADE在基于细胞的HTS测定中分配NP提取物文库的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Acoustic droplet ejection facilitates cell-based high-throughput screenings using natural products

Acoustic droplet ejection facilitates cell-based high-throughput screenings using natural products

Acoustic droplet ejection facilitates cell-based high-throughput screenings using natural products

Natural Products (NPs) are one of the main sources for drug discovery. Many clinical drugs are NPs or NP-inspired compounds, and recently discovered New Chemical Entities (NCEs) of NPs are emerging as promising new drugs. High-Throughput Screening (HTS) of large sample sets or libraries has grown to be vital for the drug discovery field. Industrial-scale HTS of NP libraries can be limited due to the difficulties entailed in working with tiny extract volumes and the variability in viscosity of NP extracts. For these reasons, the implementation of new technologies to miniaturize different reagent volumes grows to be fundamental. Since Acoustic Droplet Ejection (ADE) emerged as a helpful tool in HTS campaigns for the transference of compound libraries. The aim of this work was to test the effectiveness of ADE for the dispensation of NP extract libraries in cell-based HTS assays.

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来源期刊
SLAS Technology
SLAS Technology Computer Science-Computer Science Applications
CiteScore
6.30
自引率
7.40%
发文量
47
审稿时长
106 days
期刊介绍: SLAS Technology emphasizes scientific and technical advances that enable and improve life sciences research and development; drug-delivery; diagnostics; biomedical and molecular imaging; and personalized and precision medicine. This includes high-throughput and other laboratory automation technologies; micro/nanotechnologies; analytical, separation and quantitative techniques; synthetic chemistry and biology; informatics (data analysis, statistics, bio, genomic and chemoinformatics); and more.
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