Single-Cell RNAseq Analysis of lncRNAs

Area of Science:

• Genomics
• Molecular Biology
• Cell Biology

Background:

• Mammalian genomes produce diverse RNA types, including noncoding RNAs like microRNAs (miRNAs) and long noncoding RNAs (lncRNAs).
• LncRNAs play crucial roles in regulating gene expression, DNA structure, and protein function, with cell-specific expression patterns and diverse subcellular localizations influencing their activity.
• Understanding lncRNA function requires precise methods for evaluating their expression at the single-cell level.

Purpose of the Study:

• To present genome-wide protocols for assessing long noncoding RNA expression in individual mammalian cells.
• To demonstrate these methods using skeletal muscle, a key tissue for metabolism and movement, as a model system.
• To provide comprehensive guidance on single-cell and single-nucleus RNA sequencing for lncRNA analysis.

Main Methods:

• Isolation of myofibers, the fundamental contractile units of skeletal muscle, to study their specific molecular profiles.
• RNA separation techniques to distinguish between long and short transcripts, enabling full-length transcript sequencing via SMART-based retrotranscription.
• Adaptation of single-nucleus sequencing for analyzing frozen tissues, addressing challenges posed by multinucleated myofibers and the need for fresh tissue.

Main Results:

• Detailed protocols for isolating myofibers and preparing RNA for genome-wide expression analysis.
• Methodologies for full-length transcript sequencing using SMART technique and single-nucleus sequencing for frozen samples.
• Description of bioinformatics approaches for evaluating differential gene expression from single-cell and single-nucleus RNA sequencing data.

Conclusions:

• The presented protocols enable robust genome-wide analysis of long noncoding RNA expression at the single-cell level, particularly in skeletal muscle.
• Single-nucleus RNA sequencing offers a viable alternative for analyzing lncRNA expression in frozen tissues, expanding the applicability of these methods.
• These techniques and bioinformatics approaches are essential for deciphering the complex roles of lncRNAs in cellular function and disease.