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Multiplexed Single Cell mRNA Sequencing Analysis of Mouse Embryonic Cells
Published on: January 7, 2020
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Multiplexed Single Cell mRNA Sequencing Analysis of Mouse Embryonic Cells
Wei Feng1, Andrew Przysinda1, Guang Li2
1Department of Developmental Biology, University of Pittsburgh School of Medicine.
Journal of Visualized Experiments : Jove
|January 28, 2020
Summary
Droplet-based single-cell RNA sequencing (scRNA-Seq) enables efficient profiling of mouse embryonic heart cells. This cost-effective method allows simultaneous analysis of thousands of cells from diverse samples, advancing developmental biology research.
Area of Science:
- Developmental Biology
- Genomics
- Bioinformatics
Background:
- Single-cell mRNA sequencing is a powerful tool in developmental biology for identifying cell populations and gene markers.
- Technological advancements have shifted from microfluidic to droplet-based scRNA-Seq solutions.
- Profiling multiple samples simultaneously is crucial for comprehensive developmental studies.
Purpose of the Study:
- To demonstrate the application of droplet-based scRNA-Seq for profiling mouse embryonic heart cells.
- To integrate strategies for simultaneous multi-sample profiling within a single experiment.
- To provide a cost-effective method for developmental biology research.
Main Methods:
- Utilized droplet-based single-cell RNA sequencing (scRNA-Seq) on mouse embryonic heart tissue.
- Implemented integrated workflow strategies for simultaneous multi-sample analysis.
- Successfully profiled over 9,000 cells from eight distinct heart samples in one experiment.
Main Results:
- Demonstrated the efficacy of droplet-based scRNA-Seq for high-resolution analysis of embryonic heart cells.
- Successfully profiled a large number of cells (over 9,000) from multiple samples concurrently.
- Validated the integrated methods for efficient and cost-effective multi-sample single-cell profiling.
Conclusions:
- Droplet-based scRNA-Seq is a valuable method for studying mouse embryonic development.
- Integrated multi-sample profiling offers a cost-effective approach for developmental biology.
- These advancements facilitate the analysis of cells across different genetic backgrounds, developmental stages, and anatomical locations.

