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A multiplexed epitope barcoding strategy that enables dynamic cellular phenotypic screens.

Takamasa Kudo1, Keara Lane2, Markus W Covert2

  • 1Department of Chemical and Systems Biology, Stanford University, Stanford, CA 94305, USA.

Cell Systems
|March 22, 2022
PubMed
Summary
This summary is machine-generated.

We developed EPICode, a novel method integrating live-cell imaging with pooled genetic screening for high-throughput analysis. This technique enables precise genotype-phenotype mapping with improved spatiotemporal resolution in cellular research.

Keywords:
epitope barcodesfluorescent reportersin situ genotypingpooled screenspatial multiplexing

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Area of Science:

  • Cell Biology
  • Genetics
  • Biotechnology

Background:

  • Pooled genetic libraries enhance genotype-phenotype mapping but are limited by selectable phenotypes with low spatiotemporal resolution.
  • Current screening methods struggle to capture dynamic cellular behaviors and link them directly to genetic information.

Purpose of the Study:

  • To integrate live-cell imaging with pooled library screening for high-throughput, high-resolution phenotypic analysis.
  • To develop a method enabling intracellular multiplexing and dynamic characterization of cellular phenotypes.
  • To establish a scalable strategy for protein engineering and drug discovery using image-based phenotyping.

Main Methods:

  • Developed EPICode (Epitope-based Pooled Intracellular Code) for intracellular multiplexing using short epitopes.
  • Integrated EPICode with live-cell microscopy for time-resolved phenotypic characterization.
  • Applied EPICode to engineer a dynamic, live-cell PKA kinase translocation reporter with enhanced sensitivity and specificity.

Main Results:

  • EPICode enables direct connection of cellular behavior to genotype through live-cell imaging.
  • Demonstrated improved sensitivity and specificity in a PKA kinase translocation reporter engineered using EPICode.
  • Showcased the scalability of using epitopes as fluorescent barcodes for high-throughput screening.

Conclusions:

  • EPICode offers a scalable strategy for high-throughput screening in protein engineering and drug discovery.
  • The method enhances the spatiotemporal resolution of phenotypic screening by enabling live-cell imaging.
  • EPICode facilitates detailed characterization of cellular phenotypes over time and in response to stimuli.