InquiryDissociation-based single-cell techniques enable in-depth characterization of cell states and create cellular atlases of many organs and species. However, the question of how multicellularity constitutes tissue and functions remains an open question. Moreover, tumors exhibit extensive intratumoral and intertumoral heterogeneity. Therefore, it is crucial to understand the relationship between molecular cell types and morphological and pathological features. Spatially resolved histological analysis techniques aim to address this issue through an in situ analysis of tissues at cellular and subcellular resolution.
How we use spatial omics in tumor morphology
Next-generation imaging and multi-omics technologies provide tools to characterize complex ground tissue biology. CD Genomics provides additional captured high-resolution microscopy images based on spatial-omics technologies that represent a rich source of information on tumor morphology. This will help you design effective research methods and deepen your understanding of drug resistance generation.
Figure 1. The workflow of brain tumor diagnosis to the application of spatial profiling. (Priyakshi, K., C., et al., 2021)
Available to our customers
- Predict tumor purity of samples from histopathological sections
- Dissect the pattern of tumor purity within a sample over spatial
- Read tumor morphology information on any HE-stained slide
- Mapping regulatory networks and identifying cell types in situ
- Detect genetic variation in tumor samples
Sample types available for analysis: fresh, frozen and formalin-fixed, paraffin-embedded (FFPE) tissue sections
Technical features and advantages
- Provides information about the spatial organization of the tumor microenvironment, allowing the definition of cancer morphological diversity in the spatial context of the microenvironment Provides our customers with key biological insights into tissue structure and cellular variation.
- Acquires data in multiple formats with high resolution, multiplexing, and modal diversity, and captures high-resolution images of tissues The diversity of data generated allows for efficient and comprehensive data analysis and visualization of results.
- By providing visualization of molecularly defined cell types in tissues, RNA and protein markers can be detected simultaneously to identify distinct cell populations. to reveal the relationship between cell function, phenotype, and location in the tissue microenvironment while preserving the spatial context of the tissue.
- A direct imaging technique using individual RNA molecules in a single cell. Provides not only quantitative measurements of RNA expression but also determines the spatial localization of individual RNAs on tissues. Provides a high degree of accuracy and high detection efficiency. This allows the mapping, counting, and simultaneous imaging of thousands of RNAs in a single cell.
CD Genomics provides multidimensional solutions for tumor and cancer analysis using a spatial omics technology-based approach. This includes tumor microenvironment, heterogeneity, progression, and morphology. You are free to pick one of these aspects to start our project collaboration. Of course, we always provide you with more comprehensive and higher quality services as our standard. We look forward to working with you.
Reference
- Priyakshi, K., C., et al., (2021). "Spatial profiling technologies and applications for brain cancers." Expert Review of Molecular Diagnostics, 21(3), 323-332.
