Suppr超能文献

针对人类诱导多能干细胞来源巨噬细胞的小分子高通量筛选

High-throughput screening of small molecules targeting in human iPSC macrophages.

作者信息

Armesilla-Diaz Alejandro, Pilar Arenaz María, Ashby Charlotte, Blanco Delia, D'Oria Emiliana, Garuti Helena, Gómez Vanesa, González-Del-Río Rubén, Martínez-Hoyos María, Meiler Eugenia, Mendoza-Losana Alfonso, Mohamet Lisa, Padrón-Barthe Laura, Pérez Esther, Pérez Laura, Remuiñán Modesto J, Rodríguez-Miquel Beatriz, Segura-Carro Delfina, Viera-Morilla Sara

机构信息

Genomics Sciences, GlaxoSmithKline, Stevenage, United Kingdom.

Global Health Medicines R&D, GlaxoSmithKline, Madrid, Spain.

出版信息

Antimicrob Agents Chemother. 2025 Jul 2;69(7):e0161324. doi: 10.1128/aac.01613-24. Epub 2025 May 27.

Abstract

New treatments are still necessary to eradicate tuberculosis disease. Macrophages derived from human induced pluripotent stem cells (hiPSC-Macs) offer a physiological niche to identify potential new drugs in the context of (Mtb) infection. Here, we describe the scale-up of hiPSC-Macs production in 5-stack chambers for high-throughput drug screening against Mtb. A rate of approximately 100 million hiPSC-Macs was generated with optimal quality for a period of up to 12 weeks. Moreover, the infection model was optimized using a luminescence-based Mtb reporter strain. The assay showed enough sensitivity to identify compounds that could target host-pathogen interactions during Mtb infection. We interrogated a library of 200,000 compounds in Mtb-infected hiPSC-Macs with a Z-score above 0.3 in all plates analyzed. After secondary assays, 223 qualified hits were selected for further progression.

摘要

根除结核病仍需要新的治疗方法。源自人类诱导多能干细胞的巨噬细胞(hiPSC-Macs)为在结核分枝杆菌(Mtb)感染背景下鉴定潜在新药提供了一个生理微环境。在此,我们描述了在5层培养室中扩大hiPSC-Macs的生产规模,用于针对Mtb的高通量药物筛选。在长达12周的时间内,以最佳质量产生了约1亿个hiPSC-Macs。此外,使用基于发光的Mtb报告菌株优化了感染模型。该检测方法具有足够的灵敏度,能够鉴定出在Mtb感染期间可靶向宿主-病原体相互作用的化合物。我们在所有分析的平板中,对感染Mtb的hiPSC-Macs中一个包含200,000种化合物的文库进行了筛选,Z值高于0.3。经过二次检测后,选择了223个合格的命中化合物进行进一步研究。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6c46/12217486/155002ac89b9/aac.01613-24.f001.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验