Advances in single-cell omics and multiomics for high-resolution molecular profiling
Jongsu Lim1, Chanho Park1, Minjae Kim1
1Department of Life Science, University of Seoul, Seoul, 02504, Republic of Korea.
Experimental & Molecular Medicine
|March 5, 2024
Summary
Single-cell omics provides high-resolution molecular profiling, revealing cellular details lost in bulk methods. Integrating multiple omics data types enhances understanding of cellular systems in health and disease.
Area of Science:
- Molecular Biology
- Genomics
- Systems Biology
Background:
- Bulk omics approaches mask cellular heterogeneity by averaging signals.
- Understanding cellular complexity requires high-resolution molecular profiling.
Purpose of the Study:
- To review advances in single-cell and multimodal omics for molecular profiling.
- To discuss methodologies, strengths, and limitations of these techniques.
- To showcase applications across various biological fields.
Main Methods:
- Single-cell omics technologies (e.g., single-cell RNA sequencing).
- Multimodal omics data integration within individual cells.
- Comparative analysis of different omics methodologies.
Main Results:
- Single-cell omics reveals cellular heterogeneity, diverse cell types, and dynamic states.
- Multimodal omics enables holistic cellular process views and interaction elucidation.
- Case studies demonstrate applications in developmental biology, neurobiology, cancer, immunology, and precision medicine.
Conclusions:
- Single-cell and multimodal omics offer unprecedented resolution for molecular profiling.
- These integrative approaches are crucial for advancing our understanding of complex biological systems.
- Future research directions and potential impacts on precision medicine are highlighted.
