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[An optimized protocol of meniscus cell extraction for single-cell RNA sequencing].
1Department of Orthopedics, Nanfang Hospital, Southern Medical University, Guangzhou 510515, China.
This study optimized meniscus cell extraction for single-cell RNA sequencing, yielding more cells with high viability. The improved protocol ensures stable cell suspensions for reliable transcriptomic analysis.
Area of Science:
- Biotechnology
- Molecular Biology
- Regenerative Medicine
Background:
- Meniscus cell extraction is crucial for understanding knee joint health and disease.
- Current protocols may limit cell yield and viability, impacting downstream single-cell RNA sequencing (scRNA-seq).
- Optimizing cell suspension preparation is essential for accurate scRNA-seq analysis.
Purpose of the Study:
- To develop and validate an optimized protocol for meniscus cell extraction.
- To enhance cell yield and viability for scRNA-seq applications.
- To ensure the stability and reliability of meniscus-derived single-cell suspensions.
Main Methods:
- Compared routine (short-time and long-time digestion) and optimized cell extraction protocols.
- Evaluated cell number and viability post-extraction.
- Analyzed scRNA-seq data to assess cell suspension stability and cell type identification.
- Validated the protocol against published meniscus scRNA-seq datasets.
Main Results:
- The optimized protocol yielded over 1x10^5 cells, significantly more than routine methods.
- Achieved cell viability exceeding 80%, the highest among tested protocols.
- scRNA-seq data showed <20% mitochondrial gene content in >80% of cells, indicating high quality.
- Identified key cell populations including CD34+, MCAM+, COL1A1+, COL3A1+, MYLK+, BMP2+, CD93+, and CDK1+ cells.
Conclusions:
- The optimized protocol provides a stable method for preparing meniscus single-cell suspensions.
- This protocol is suitable for high-throughput scRNA-seq using platforms like 10x Genomics.
- The optimized method enhances the quality and quantity of cells for molecular analysis.
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