ArticleNature biotechnology2014
Microfluidic high-throughput culturing of single cells for selection based on extracellular metabolite production or consumption.
Article in Nature biotechnology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 101 papers.
What it found
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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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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
101 citing papers in PubMed.
- Accessible, robust ultrahigh-throughput microbiome analysis via integration of uniform droplet-templated emulsification and FACS.PloS one · 2026Article
- Sensitive, high-throughput, metabolic analysis by molecular sensors on the membrane surface of mother yeast cells.Nature communications · 2025Article
- Droplet Microfluidics for Advanced Single-Cell Analysis.Smart medicine · 2025Review
- Droplet microfluidics for single-cell studies: a frontier in ecological understanding of microbiomes.FEMS microbiology reviews · 2025Review
- On-Chip Photonic Detection Techniques for Non-Invasive In Situ Characterizations at the Microfluidic Scale.Sensors (Basel, Switzerland) · 2024Review
- Digital Barcodes for High-Throughput Screening.Chem & bio engineering · 2024Review
- Combinatorial optimization of gene expression through recombinase-mediated promoter and terminator shuffling in yeast.Nature communications · 2024Article
- High-throughput droplet microfluidics screening and genome sequencing analysis for improved amylase-producing Aspergillus oryzae.Biotechnology for biofuels and bioproducts · 2023Article
- Advances in single-cell metabolomics to unravel cellular heterogeneity in plant biology.Plant physiology · 2023Review
- Immobilised-enzyme microreactors for the identification and synthesis of conjugated drug metabolites.RSC advances · 2023Article
- Microfluidic Systems for Neural Cell Studies.Bioengineering (Basel, Switzerland) · 2023Review
- Nanokit coupled electrospray ionization mass spectrometry for analysis of angiotensin converting enzyme 2 activity in single living cell.Chinese chemical letters = Zhongguo hua xue kuai bao · 2023Article
- High-throughput screening of microbial strains in large-scale microfluidic droplets.Frontiers in bioengineering and biotechnology · 2023Article
- Water-in-water droplet microfluidics: A design manual.Biomicrofluidics · 2022Review
- Metabolomics and modelling approaches for systems metabolic engineering.Metabolic engineering communications · 2022Review
- Article
- Strain Development in Microalgal Biotechnology-Random Mutagenesis Techniques.Life (Basel, Switzerland) · 2022Review
- Ultrahigh-throughput screening of industrial enzyme-producing strains by droplet-based microfluidic system.Journal of industrial microbiology & biotechnology · 2022Article
- Deep Learning-Enabled Technologies for Bioimage Analysis.Micromachines · 2022Review
- Emerging microfluidic technologies for microbiome research.Frontiers in microbiology · 2022Review
41 more citing papers are in PubMed but not listed here.
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Authors and funding
7 authors.
Funding
Abstract
Phenotyping single cells based on the products they secrete or consume is a key bottleneck in many biotechnology applications, such as combinatorial metabolic engineering for the overproduction of secreted metabolites. Here we present a flexible high-throughput approach that uses microfluidics to compartmentalize individual cells for growth and analysis in monodisperse nanoliter aqueous droplets surrounded by an immiscible fluorinated oil phase. We use this system to identify xylose-overconsuming Saccharomyces cerevisiae cells from a population containing one such cell per 10(4) cells and to screen a genomic library to identify multiple copies of the xylose isomerase gene as a genomic change contributing to high xylose consumption, a trait important for lignocellulosic feedstock utilization. We also enriched L-lactate-producing Escherichia coli clones 5,800× from a population containing one L-lactate producer per 10(4) D-lactate producers. Our approach has broad applications for single-cell analyses, such as in strain selection for the overproduction of fuels, chemicals and pharmaceuticals.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.