InquiryThe importance of single-cell technology for the study of various cancers cannot be overlooked. Methods such as single-cell sequencing and mass spectrometry flow cytometry have helped to elucidate the scale and impact of tumor heterogeneity and the role of non-tumor cells in cancer evolution and progression. But in isolating these cells to understand their function and diversity, researchers lose a key piece of background information for studying the disease. This phenomenon is no exception in colorectal cancer research.
How we can apply spatial omics technologies in colorectal cancer research
CD Genomics offers a spatial transcriptomics-based solution that combines cancer pathology with gene and protein expression data. In-depth single-cell phenotyping and spatial analysis are performed on colorectal cancer samples. Such molecular pathology data with spatial resolution can be directly used to map the heterogeneity of colorectal cancer.
Figure 1. Multiplex RNA ISH/IF staining for neutrophil marker CD66b-IF, epithelial marker EPCAM-ISH, myeloid TYROBP-ISH, IL1B-ISH, and CXCL1-ISH and corresponding H&E images. (Karin, P., et al., 2021)
Our team combines tissue images with spatially resolved gene expression data by using capture probes attached to slides. Manual annotation of samples and key features in tissue sections is used for spatial mapping of protein and gene expression transcripts. Our experts have extensive experience in microscopic morphological interpretation, especially in a variety of cancer pathology specimens. Provides high-resolution spatial context of cells as well as more accurate detection and quantification of weakly expressed genes.
What our customers can get
- Biomarker evaluation of colorectal cancer.
- As an aid to early invasive tumor diagnosis.
- Capture the gene expression signature of microscopic lesions of early invasive cancer.
- Discover specific immune cell and cancer cell type composition.
Sample types available for analysis: frozen tissue sections, FFPE compatible tissue samples
Technical features and advantages
- Can capture transcriptionally distinct cell clusters located at the border between the tumor and its microenvironment.
- Ability to independently discover rare cell types and interpret the functions of rare cell populations through infinite imaging of tissue samples.
- Describe new patterns of genes, pathways, and modules under spatial-omics datasets to predict molecular alterations, mutations, and prognosis.
- Allows our clients to examine entire tissue sections and then gain insight into the biology of specific events or cells.
Reference
- Karin, P., et al., (2021). "Spatially organized multicellular immune hubs in human colorectal cancer." Cell. 184(18), 4734-4752.e20.
