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Updated: Oct 22, 2025

Genetic Barcoding with Fluorescent Proteins for Multiplexed Applications
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POLYseq: A poly(β-amino ester)-based vector for multifunctional cellular barcoding.

Andrew Dunn1, Yuqi Cai1, Kentaro Iwasawa1

  • 1Division of Gastroenterology, Hepatology & Nutrition, Developmental Biology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA.

Stem Cell Reports
|August 27, 2021
PubMed
Summary
This summary is machine-generated.

We developed POLYseq, a novel labeling system for cost-effective multiplexing in single-cell sequencing and live cell imaging. POLYseq enables efficient sample pooling and barcode delivery, overcoming current limitations in next-generation sequencing library preparation.

Keywords:
NGScellular barcodeiPS cellimagingorganoidpolymer

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Area of Science:

  • Biotechnology
  • Molecular Biology
  • Genomics

Background:

  • Next-generation sequencing (NGS) at the single-cell level is crucial for biological research.
  • Current NGS library preparation methods limit multiplexing, increasing costs due to separate library preparation for each sample.

Purpose of the Study:

  • To develop a novel, cost-effective labeling system for multiplexing in single-cell NGS and live cell imaging.
  • To enable rapid creation of custom sample pools for enhanced experimental scalability.

Main Methods:

  • Synthesis of a novel poly(β-amino) ester labeling system (POLYseq) using common reagents.
  • Delivery of fluorescent molecules or sample-distinguishing DNA barcodes via non-covalent binding.
  • Live imaging to track fluorescent POLYseq vectors and single-cell RNA sequencing to detect barcode labeling.

Main Results:

  • POLYseq efficiently delivers fluorescent molecules and DNA barcodes through non-covalent binding.
  • Cellular labeling propensity is determined by chemical formulation.
  • Lysosomal compartmentalization of POLYseq vectors was confirmed via live imaging.
  • Barcode labeling was detected in 90% of cells, enabling identification of mixed human and mouse cell lines.

Conclusions:

  • POLYseq offers a scalable and cost-effective solution for multiplexing in single-cell NGS.
  • The system demonstrates multifunctional applications in live cell imaging and sample pooling for genomics.
  • POLYseq overcomes limitations of current NGS library preparation, reducing costs and increasing efficiency.