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Single-Cell and Spatial Omics: Methods and Applications.

Xiaoping Cen1,2, Xiaolan Huang1,3, Enjin Deng1,4

  • 1Guangzhou National Laboratory, Guangzhou International Bio Island Guangzhou Guangdong Province China.

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Summary
This summary is machine-generated.

Single-cell and spatial omics offer high-resolution molecular insights, revolutionizing biomedical research. Integrating these technologies with AI accelerates discovery for precision medicine and understanding complex diseases.

Keywords:
artificial intelligencefoundation modelsmulti‐omics integrationprecision medicinesingle‐cell omicsspatial omics

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Area of Science:

  • Biomedical Research
  • Genomics
  • Computational Biology

Background:

  • Single-cell and spatial omics provide high-resolution molecular profiling, overcoming bulk sequencing limitations.
  • These technologies reveal cellular heterogeneity and spatial organization crucial for understanding biology and disease.
  • Rapid advancements in high-throughput, subcellular, and multiomics profiling are driving deeper biological insights.

Purpose of the Study:

  • To synthesize recent breakthroughs in single-cell and spatial omics technologies.
  • To survey computational methods, including AI and foundation models, for analyzing omics data.
  • To highlight applications in human health and disease for biomarker discovery and precision medicine.

Main Methods:

  • Review of single-cell and spatial omics technologies.
  • Survey of computational methods, including AI-driven approaches and multi-omics integration.
  • Summarization of applications across human organ systems.

Main Results:

  • Significant progress in single-cell and spatial omics technologies and computational analysis methods.
  • Demonstrated applications in diverse biological systems and diseases.
  • Identified opportunities for biomarker discovery, therapeutic target identification, and precision medicine.

Conclusions:

  • A gap exists between technological advancements and their systematic application in human biology and pathology.
  • Bridging technological innovation with robust biomedical discovery is crucial for translational impact.
  • This review serves as a guide for researchers to accelerate the translation of single-cell and spatial omics.