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Updated: Sep 21, 2025

Multiplexed Single Cell mRNA Sequencing Analysis of Mouse Embryonic Cells
Published on: January 7, 2020
Universal Surface Biotinylation: a simple, versatile and cost-effective sample multiplexing method for single-cell
Michihiko Sugimoto1, Yuhki Tada1, Shigeyuki Shichino2
1Technology and Development Team for Mammalian Genome Dynamics, RIKEN BioResource Research Center, Tsukuba City, Ibaraki 305-0074, Japan.
A new Universal Surface Biotinylation (USB) method enables cost-effective, accurate single-cell analysis by universally labeling diverse cell types. This technique overcomes limitations of current cell hashing, improving transcriptome acquisition without adverse effects.
Area of Science:
- Single-cell genomics
- Molecular biology
- Biotechnology
Background:
- Single-cell analysis allows high-throughput examination of individual cells.
- Sample multiplexing reduces costs and enhances accuracy in single-cell experiments.
- Current cell hashing methods face limitations due to the unavailability of specific cell surface markers.
Purpose of the Study:
- To develop a universal cell labeling technique independent of specific cell surface proteins.
- To overcome limitations of existing cell hashing methods for broader single-cell analysis applications.
- To improve the efficiency and accuracy of single-cell sample multiplexing.
Main Methods:
- Developed Universal Surface Biotinylation (USB) by introducing biotin into cell surface protein amine groups.
- Utilized DNA-tagged streptavidin for specific DNA 'hashtag' labeling of each cell sample.
- Validated the USB method using differentiating mouse embryonic stem cells.
Main Results:
- Achieved effective labeling across all tested cell types using the USB technique.
- Demonstrated no discernible adverse effect on transcriptome acquisition compared to conventional methods.
- Successfully applied DNA-tagged streptavidin for sample multiplexing.
Conclusions:
- Universal Surface Biotinylation (USB) offers a versatile solution for cell labeling in single-cell analysis.
- The USB method expands the applicability of cell hashing to cell types not amenable to conventional techniques.
- This approach enhances the cost-effectiveness and accuracy of large-scale single-cell studies.
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