SMARTer single cell total RNA sequencing.

Area of Science:

• Molecular Biology
• Genomics
• Biotechnology

Background:

• Single-cell RNA sequencing (scRNA-seq) is crucial for studying cellular heterogeneity.
• Existing scRNA-seq methods have limitations including bias towards polyadenylated RNA, 3' end sequencing, high ribosomal RNA reads, and unstranded data.

Purpose of the Study:

• To develop a novel single-cell strand-specific total RNA library preparation method.
• To address the limitations of current scRNA-seq protocols.

Main Methods:

• Developed a new single-cell strand-specific total RNA library preparation technique.
• Validated the method on a microfluidics system with perturbed cancer cell lines.
• Tested the method on sorted cancer cell lines in microplates.

Main Results:

• The total RNA-seq method detected an equal or higher number of genes compared to polyadenylated RNA sequencing.
• Identified novel and non-polyadenylated genes, providing a more comprehensive transcript profile.
• Detected circular RNAs, a feature inherent to total RNA sequencing.
• Observed RNA expression patterns that accurately reflect biological signals.

Conclusions:

• The developed SMARTer single-cell total RNA sequencing method overcomes key limitations of existing scRNA-seq approaches.
• This method is highly suitable for experiments requiring comprehensive transcriptomic information beyond polyadenylated transcripts.
• Enables deeper understanding of cellular heterogeneity and biological processes through enhanced RNA detection.