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High-throughput, image-based screening of pooled genetic-variant libraries

Authors: George Emanuel; Jeffrey R Moffitt; Xiaowei Zhuang;

High-throughput, image-based screening of pooled genetic-variant libraries

Abstract

We report a high-throughput screening method that allows diverse genotypes and corresponding phenotypes to be imaged in individual cells. We achieve genotyping by introducing barcoded genetic variants into cells as pooled libraries and reading the barcodes out using massively multiplexed fluorescence in situ hybridization. To demonstrate the power of image-based pooled screening, we identified brighter and more photostable variants of the fluorescent protein YFAST among 60,000 variants.

Country
United States
Related Organizations
Keywords

570, High-Throughput Nucleotide Sequencing, Reproducibility of Results, Article, 576, Mutation, Escherichia coli, DNA Barcoding, Taxonomic, In Situ Hybridization, Fluorescence, Gene Library

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    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    67
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 1%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
67
Top 1%
Top 10%
Top 10%
Green
bronze