Towards high throughput and high information coverage: advanced single-cell mass spectrometric techniques.

Area of Science:

• Analytical Chemistry
• Biochemistry
• Molecular Biology

Background:

• Single-cell analysis is crucial for understanding cellular heterogeneity.
• Mass spectrometry (MS) offers high sensitivity and rich data for single-cell metabolomics and proteomics.
• Current manual single-cell MS techniques face challenges in throughput and information coverage.

Purpose of the Study:

• To review advanced techniques for automating and increasing throughput in single-cell MS.
• To highlight strategies for enhancing information coverage in single-cell multiomics.
• To provide an outlook on the performance of MS in single-cell research.

Main Methods:

• Review of automated single-cell sampling techniques for MS.
• Discussion of MS detection methods for single-cell metabolome and proteome analysis.
• Analysis of strategies for improving multiomics data coverage.

Main Results:

• Advanced techniques significantly improve automation and throughput for single-cell MS.
• New strategies enhance in-depth cellular information coverage.
• High-throughput detection enables more comprehensive single-cell multiomics.

Conclusions:

• Automated and high-throughput MS techniques are vital for advancing single-cell research.
• Improved methods offer a more complete understanding of cellular processes.
• MS continues to evolve as a powerful tool for single-cell multiomics.