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The burgeoning spatial multi-omics in human gastrointestinal cancers.
Weizheng Liang1, Zhenpeng Zhu2,3, Dandan Xu1
1Central Laboratory, The First Affiliated Hospital of Hebei North University, Zhangjiakou, Hebei province, China.
Peerj
|September 17, 2024
Summary
Spatial multi-omics technology provides crucial 3D spatial context for understanding disease development and progression. This review covers spatial transcriptomics, proteomics, and metabolomics for digestive tumors like esophageal, gastric, and colorectal cancers.
Area of Science:
- Molecular Biology
- Genomics
- Pathology
Background:
- Understanding multicellular organism development and disease requires high-resolution biological data within the 3D body context.
- Single-cell multi-omics offers resolution but loses spatial information.
- Spatial multi-omics retains spatial context, crucial for deciphering molecular mechanisms.
Purpose of the Study:
- To provide a comprehensive overview of spatial multi-omics technologies.
- To highlight their applications in digestive tumor research, specifically esophageal, gastric, and colorectal cancers.
- To foster the adoption of spatial multi-omics in digestive oncology.
Main Methods:
- Review of spatial transcriptomics technologies.
- Review of spatial proteomics technologies.
- Review of spatial metabolomics technologies.
Main Results:
- Spatial multi-omics is vital for understanding tumor biology, including occurrence, development, metastasis, immunity, and microenvironment heterogeneity.
- These technologies are increasingly applied to digestive cancers.
- The review details specific techniques and their utility.
Conclusions:
- Spatial multi-omics significantly enhances the understanding of individual development and disease pathology.
- These techniques are instrumental in advancing research on digestive tumors.
- New technical insights are provided for molecular biology researchers in this field.
Keywords:
Esophageal cancerGastric cancer and colorectal cancerSpatial metabolomicsSpatial proteomicsSpatial transcriptomics
