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Updated: Oct 9, 2025

Generation of Functional Endodermal Hepatic Organoids
Published on: May 2, 2025
Synthesis and application of POLYseq for profiling human liver organoids
Andrew W Dunn1, Yuqi Cai1, Kentaro Iwasawa1
1Division of Gastroenterology, Hepatology & Nutrition, Developmental Biology and Center for Stem Cell and Organoid Medicine (CuSTOM), Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA.
Researchers developed POLYseq, a customizable reagent for cell pooling in single-cell sequencing. This two-step synthesis protocol is accessible and uses readily available materials, simplifying single-cell analysis.
Area of Science:
- Biochemistry
- Molecular Biology
- Genomics
Background:
- Single-cell sequencing enables high-resolution biological insights.
- Efficient cell pooling is crucial for maximizing throughput and reducing costs in single-cell experiments.
- Current methods for cell pooling may lack customizability or require complex procedures.
Purpose of the Study:
- To present a detailed protocol for the synthesis, characterization, and application of POLYseq.
- To establish POLYseq as a versatile and tailorable solution for cell pooling in single-cell sequencing.
- To provide a user-friendly method for preparing samples for single-cell analysis.
Main Methods:
- POLYseq synthesis via a two-step protocol utilizing Michael addition.
- Utilizing commercially available reagents for accessible synthesis.
- Employing a temperature-stable hot bath at 90°C for synthesis.
Main Results:
- Successful synthesis of POLYseq using a straightforward, two-step protocol.
- Demonstrated high tailorable nature of POLYseq for diverse applications.
- Identified sensitivity of the final product to initial reagent mixing ratios.
Conclusions:
- POLYseq offers a readily synthesizable and customizable option for cell pooling in single-cell sequencing.
- The described protocol provides a practical approach for researchers to implement POLYseq.
- Careful attention to reagent mixing ratios is essential for optimal POLYseq performance.
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