InquiryThe location of each cell relative to its neighbors is important for understanding how tissues function at the molecular level. Spatial transcriptomics allows transcriptome analysis of cells using additional information about their location in tissues, which informs the biological processes of tissue structure, intercellular communication, and pathology.
Cell mapping services we offer
The main challenge in cell mapping is to assign scRNA-seq-based cell types from data to each cell. CD Genomics uses spatial omics technology (based on gold standard single-molecule fluorescence in situ hybridization chemistry with high sensitivity and specificity allowing identification of cell types with only a few genes) and algorithms for comprehensive mapping of cell types in tissues that not only allows resolution of fine-grained cell types in spatial transcriptome data but also creates a comprehensive cell map of different tissues.
- The specified scRNA-based cell subtypes are localized to each cell on the atlas.
- Localize each scRNA-seq cell to a specific ecological site or region of the tissue.
- Allows unbiased identification of different cell types based on transcriptome profiles.
You can be supported by CD Genomics' services in the rapid and high-throughput spatial mapping of cancer tissues, comparative analysis of diseased and healthy tissues, exploration of developmental trajectories and the inner workings of disease, and elucidation of cellular dynamics in the environment, including identification of new cell types and detection of rare cells.
Why choose us
- Combining both types of information, scRNA-seq data and spatial transcriptome data, allows researchers to visualize the relationships between cells and better understand tissue biology.
- Ability to detect subtle differences in cellular expression of genes and identify rare cell subtypes that have never been described before.
- Cell types are identified and localized in tissues, helping researchers unravel defined, disease-associated cell types and their gene modules.
- Allowing researchers to spatially map specific cell subpopulations in development and disease and elucidate the mechanisms by which these cell subpopulations synergistically shape tissue phenotypes.
