RoCK and ROI: single-cell transcriptomics with multiplexed enrichment of selected transcripts and region-specific...

Area of Science:

• Genomics
• Molecular Biology
• Biotechnology

Background:

• Single-cell profiling is crucial for understanding biological mechanisms in development, health, and disease.
• Current single-cell RNA sequencing (scRNA-seq) methods face challenges with high transcript non-detection rates, limiting comprehensive analysis.
• Specific transcript and region information is vital for detailed cellular biology studies.

Purpose of the Study:

• To introduce a new scRNA-seq workflow, RoCK and ROI (Robust Capture of Key transcripts and Regions Of Interest), designed to overcome limitations in transcript detection.
• To enhance the comprehensive profiling of single-cell transcriptomes by improving the capture of critical molecular information.
• To enable the retrieval of specific sequence data without compromising the overall transcriptome.

Main Methods:

• Developed RoCKseq (Robust Capture of Key transcripts), a targeted capture technique to enrich specific transcripts for improved detection.
• Developed ROIseq (Regions Of Interest), a selective priming method to direct sequencing reads to specific transcript regions.
• Integrated RoCKseq and ROIseq into a versatile scRNA-seq workflow.

Main Results:

• RoCK and ROI workflow successfully enhances the detection of key transcripts and specific regions of interest in scRNA-seq data.
• The methods allow for the identification of cell types and complex phenotypes with greater accuracy.
• Validation across diverse biological systems demonstrates the workflow's versatility and effectiveness in retrieving critical transcriptomic features.
• Specific sequence information can be retrieved without sacrificing the integrity of the overall single-cell transcriptome.

Conclusions:

• RoCK and ROI represent a significant advancement in scRNA-seq technology, addressing key limitations in transcript detection.
• This workflow enhances the ability to perform comprehensive single-cell transcriptome analysis, crucial for biological discovery.
• The validated versatility of RoCK and ROI offers powerful new capabilities for researchers studying complex biological systems at the single-cell level.