ArticleMicroarrays (Basel, Switzerland)2016
Droplet Microarray Based on Superhydrophobic-Superhydrophilic Patterns for Single Cell Analysis.
Article in Microarrays (Basel, Switzerland), 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
8 citing papers in PubMed, 34 citations in OpenAlex.
- High-Throughput Analysis of Protein Adsorption to a Large Library of Polymers Using Liquid Extraction Surface Analysis-Tandem Mass Spectrometry (LESA-MS/MS).Analytical chemistry · 2025Article
- Back to Basics: A Simplified Improvement to Multiple Displacement Amplification for Microbial Single-Cell Genomics.International journal of molecular sciences · 2023Article
- "Cells-to-cDNA on Chip": Phenotypic Assessment and Gene Expression Analysis from Live Cells in Nanoliter Volumes Using Droplet Microarrays.Advanced healthcare materials · 2022Article
- Miniaturized droplet microarray platform enables maintenance of human induced pluripotent stem cell pluripotency.Materials today. Bio · 2021Article
- Solid-phase combinatorial synthesis using microarrays of microcompartments with light-induced on-chip cell screening.Materials today. Bio · 2019Article
- Counting Proteins in Single Cells with Addressable Droplet Microarrays.Journal of visualized experiments : JoVE · 2018Article
- An Aqueous Composition for Lubricant-Free, Robust, Slippery, Transparent Coatings on Diverse Substrates.Global challenges (Hoboken, NJ) · 2018Article
- Snap Chip for Cross-reactivity-free and Spotter-free Multiplexed Sandwich Immunoassays.Journal of visualized experiments : JoVE · 2017Article
Corrections and comments
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Authors and funding
4 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
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.
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Registered trials
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