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From the third issue of 2017, Microarrays has changed its name to High-Throughput.

Open AccessArticle
Microarrays 2016, 5(4), 28; doi:10.3390/microarrays5040028

Droplet Microarray Based on Superhydrophobic-Superhydrophilic Patterns for Single Cell Analysis

Karlsruhe Institute of Technology, Institute of Toxicology and Genetics, Hermann-von-Helmholtz-Platz 1, 76344 Eggenstein-Leopoldshafen, Germany
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Academic Editor: Holger Erfle
Received: 12 October 2016 / Accepted: 18 November 2016 / Published: 9 December 2016
(This article belongs to the Special Issue Cell-Based Microarrays)
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Abstract

Single-cell analysis provides fundamental information on individual cell response to different environmental cues and is a growing interest in cancer and stem cell research. However, current existing methods are still facing challenges in performing such analysis in a high-throughput manner whilst being cost-effective. Here we established the Droplet Microarray (DMA) as a miniaturized screening platform for high-throughput single-cell analysis. Using the method of limited dilution and varying cell density and seeding time, we optimized the distribution of single cells on the DMA. We established culturing conditions for single cells in individual droplets on DMA obtaining the survival of nearly 100% of single cells and doubling time of single cells comparable with that of cells cultured in bulk cell population using conventional methods. Our results demonstrate that the DMA is a suitable platform for single-cell analysis, which carries a number of advantages compared with existing technologies allowing for treatment, staining and spot-to-spot analysis of single cells over time using conventional analysis methods such as microscopy. View Full-Text
Keywords: Droplet Microarray; superhydrophobic-superhydrophilic patterning; single-cell analysis; high-throughput screening; screening Droplet Microarray; superhydrophobic-superhydrophilic patterning; single-cell analysis; high-throughput screening; screening
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Jogia, G.E.; Tronser, T.; Popova, A.A.; Levkin, P.A. Droplet Microarray Based on Superhydrophobic-Superhydrophilic Patterns for Single Cell Analysis. Microarrays 2016, 5, 28.

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