Streamlined Low-Input Transcriptomics through EASY-RNAseq.

Area of Science:

• Molecular Biology
• Genomics
• Biotechnology

Background:

• High-throughput sequencing is crucial for transcriptome profiling in biological research.
• Accurate transcriptome profiling of small cell populations is challenging due to low gene detection sensitivity and complex experimental procedures.

Purpose of the Study:

• To introduce a streamlined RNA sequencing (RNAseq) protocol, EASY RNAseq, designed for sensitive transcriptome assessment from minimal input materials.
• To overcome the limitations of existing methods in profiling small cell populations.

Main Methods:

• Development of a streamlined RNAseq protocol (EASY RNAseq).
• Application of EASY RNAseq to single-human embryos at the 8-cell stage.
• Comparative analysis of gene detection sensitivity and expression distribution patterns with other common methods.

Main Results:

• EASY RNAseq demonstrates technical robustness for sequencing small cell pools.
• The protocol recovers information on a larger number of genes compared to other methods.
• EASY RNAseq exhibits a more even gene expression distribution pattern.
• Application to single human embryos detected 70% of annotated protein-coding genes.

Conclusions:

• EASY RNAseq provides a sensitive and robust method for transcriptome profiling of low-input samples.
• This workflow is effective for interrogating rare cell populations.
• The protocol enhances gene detection sensitivity and data quality for small-scale biological samples.