Laser capture microdissection for biomedical research: towards high-throughput, multi-omics, and single-cell...

Area of Science:

• Biotechnology
• Genomics
• Molecular Biology

Background:

• Spatial omics technologies are crucial for understanding complex biological systems.
• Increasing focus on spatial heterogeneity necessitates unbiased, spatially resolved omics methods.
• Laser capture microdissection (LCM) enables precise isolation of regions of interest (ROIs) from tissues.

Purpose of the Study:

• To review and compare four common types of LCM technologies.
• To discuss LCM applications in omics and disease research.
• To highlight key attributes like throughput and spatial resolution in application cases.

Main Methods:

• Comparison of four distinct LCM technologies.
• Analysis of application cases in omics and disease research.
• Evaluation of throughput and spatial resolution.

Main Results:

• Detailed comparison of LCM technologies and their suitability for various research needs.
• Highlighting successful applications in studying cellular and molecular mechanisms of diseases.
• Identification of key attributes influencing technology choice.

Conclusions:

• LCM is a valuable tool for spatial omics, offering insights from single cells to cell populations.
• LCM holds significant potential for advancing biomedical research, disease diagnosis, and targeted therapy.
• Future directions emphasize high-throughput, multi-omics, and single-cell resolution capabilities of LCM.