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High‐Throughput Screening of Cell Transfection Enhancers Using Miniaturized Droplet Microarrays

Liu, Yanxi 1; Tronser, Tina 1; Peravali, Ravindra 1; Reischl, Markus ORCID iD icon 2; Levkin, Pavel A. ORCID iD icon 1,3
1 Institut für Toxikologie und Genetik (ITG), Karlsruher Institut für Technologie (KIT)
2 Institut für Automation und angewandte Informatik (IAI), Karlsruher Institut für Technologie (KIT)
3 Institut für Organische Chemie (IOC), Karlsruher Institut für Technologie (KIT)


DNA delivery is a powerful research tool for biological research and clinical therapies. However, many nonviral transfection reagents have relatively low transfection efficiency. It is hypothesized that by treating cells with small molecules, the transfection efficiency can be improved. However, in order to identify such transfection-enhancing molecules, thousands of molecules must be tested. Current high-throughput screening (HTS) technologies based on microtiter plates are not suitable for such screenings due to the prohibitively high costs of reagents and operation. Here, the use of the droplet microarray (DMA) platform to screen 774 FDA-approved drugs with CHO-K1, Jurkat and HEK293T cells is reported. The volume of individual aqueous compartments is 20 nL, requiring 0.84 mL of cell suspension and 200 pmoles of each drug (total 0.02 moles) to perform the screening. Thus, the requirement for cells and reagents is 2500 times less than that for the same experiment performed in 384-well plates. The results reveal the potential of the DMA platform as a more cost-effective and less labor-intensive approach to HTS. Furthermore, an increase (approximately two- to fivefold) in transfection efficiency is achieved by treating cells with some molecules. ... mehr

Verlagsausgabe §
DOI: 10.5445/IR/1000117828
Veröffentlicht am 23.03.2020
DOI: 10.1002/adbi.201900257
Zitationen: 15
Zitationen: 14
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Automation und angewandte Informatik (IAI)
Institut für Biologische und Chemische Systeme (IBCS)
Publikationstyp Zeitschriftenaufsatz
Publikationsmonat/-jahr 03.2020
Sprache Englisch
Identifikator ISSN: 2366-7478, 2366-7478
KITopen-ID: 1000117828
HGF-Programm 47.01.01 (POF III, LK 01) Biol.Netzwerke u.Synth.Regulat. ITG+ITC
Erschienen in Advanced biosystems
Verlag Wiley-VCH Verlag
Band 4
Heft 3
Seiten 1900257
Vorab online veröffentlicht am 11.02.2020
Nachgewiesen in Scopus
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