Leveraging two novel droplet-based single-cell RNA Sequencing platforms: a comparative study with 10x genomics

Area of Science:

• Single-cell genomics
• Transcriptome profiling
• Biotechnology

Background:

• Single-cell transcriptome profiling technologies are rapidly evolving.
• New platforms aim to enhance data quality, scale, cost, and labor efficiency.
• Independent platform comparisons are vital for selecting optimal tools for specific research needs.

Purpose of the Study:

• To compare the performance of two novel droplet-based single-cell platforms, SeekOne and MobiDrop.
• To evaluate these platforms against a widely-used commercial platform (10× Genomics).
• To assess platform suitability for diverse biological samples and experimental goals.

Main Methods:

• Comparative analysis of SeekOne, MobiDrop, and 10× Genomics platforms.
• Utilized cell suspensions of varying complexity and quality.
• Evaluated gene yield, cell type identification, cost, and throughput.

Main Results:

• 10× Genomics demonstrated generally superior performance.
• All platforms showed acceptable gene yield and identified expected cell types.
• SeekOne and MobiDrop present cost-effective alternatives with flexibility in sample loading.

Conclusions:

• This comparison aids researchers in selecting appropriate single-cell RNA sequencing platforms.
• Key evaluation aspects include sample requirements, throughput, cell quality, gene capture efficiency, and cell type representativeness.
• Findings support informed decisions for diverse single-cell transcriptome studies.