Single-cell alternative splicing analysis reveals dominance of single transcript variant.

Area of Science:

• Molecular Biology
• Genomics
• Transcriptomics

Background:

• Alternative splicing generates diverse gene products from a single gene.
• Previous research indicated variable splicing patterns in single cells, leading to debate on multi-variant expression.

Purpose of the Study:

• To investigate the phenomenon of simultaneous expression of multiple transcript variants in single cells.
• To clarify the contribution of single-cell splicing patterns to overall transcript diversity.

Main Methods:

• Analysis of multiple single-cell RNA sequencing (scRNA-seq) datasets.
• Observation and validation of splicing patterns across various datasets.

Main Results:

• A prevalent finding of single-transcript variant dominance in individual cells.
• Consistent results across analyzed single-cell RNA sequencing data.
• Demonstration that cell population transcript diversity stems from heterogeneous single-cell splicing.

Conclusions:

• Single cells predominantly express a single major transcript variant per gene.
• Transcriptome diversity observed in cell populations is primarily driven by variations in splicing within individual cells.