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Precision and Accuracy in Quantitative Measurement of Gene Expression from Single-Cell/Nuclei RNA Sequencing Data
Rujia Dai1, Ming Zhang2, Tianyao Chu2
1Department of Psychiatry, SUNY Upstate Medical University, Syracuse, NY, USA.
Biorxiv : the Preprint Server for Biology
|April 25, 2024
Summary
Single-cell RNA sequencing (scRNA-Seq) data quality is often low, impacting research reliability. Sequencing hundreds of high-quality cells per type is crucial for accurate gene expression analysis.
Area of Science:
- Biomedical research
- Genomics
- Bioinformatics
Background:
- Single-cell/nuclei RNA sequencing (sc/snRNA-Seq) is a powerful tool for cell-type gene expression profiling.
- Data quality in sc/snRNA-Seq significantly impacts the reliability of downstream analyses.
Conclusions:
- Underscores the necessity of sequencing sufficient high-quality cells (hundreds per cell type per individual) to mitigate noise.
- Highlights the importance of data quality control for reliable sc/snRNA-Seq findings.
