Digital microfluidic isolation of single cells for -Omics

Area of Science:

• Biotechnology
• Genomics
• Proteomics

Background:

• Single-cell analysis is crucial for understanding cellular heterogeneity.
• Current methods often struggle with limited sample sizes and linking phenotype to genotype.
• There is a need for high-throughput, precise single-cell isolation and multi-omics profiling.

Purpose of the Study:

• To introduce and validate Digital microfluidic Isolation of Single Cells for -Omics (DISCO).
• To demonstrate DISCO's capability in selecting specific cells and integrating phenotypic and multi-omics data.
• To assess DISCO's performance against state-of-the-art single-cell sequencing techniques.

Main Methods:

• Digital microfluidics for precise cell manipulation.
• Laser-induced cell lysis for content extraction.
• Artificial intelligence-driven image processing for cell selection.
• Next-generation sequencing for genome and transcriptome analysis.
• Nanoflow liquid chromatography and tandem mass spectrometry for proteome analysis.

Main Results:

• DISCO enables selective isolation of single cells from heterogeneous populations.
• The platform successfully links immunofluorescence phenotypes to single-cell sequencing data.
• DISCO achieves sequencing levels equivalent to or enhanced compared to existing methods.
• Identification of single nucleotide variations is demonstrated.

Conclusions:

• DISCO offers high selectivity, context, and accountability for single-cell analysis.
• The platform is suitable for in-depth analysis of rare cell populations.
• DISCO advances the field of single-cell multi-omics by integrating phenotypic information.