InquiryHigh-throughput omics extend the study of individual genes or proteins into the realm of transcriptomics or proteomics, providing insight into disease progression by identifying discrete cellular subpopulations or microenvironmental features of normal or pathological tissues.
While this has dramatically changed biological and medical research, greatly improving researchers' understanding of complex intercellular interactions and the biology and pathophysiology from the extracellular matrix (ECM), traditional transcriptomic and proteomic approaches do not provide a relevant characterization of a given cell state and its surrounding ECM interactions.
We offer cell mapping services
Complex intercellular interactions and biomolecular information from the ECM profoundly affect cellular function. Now, CD Genomics offers a new perspective by quantifying hundreds of genes, transcripts, or proteins, enabling the collection of valuable molecular and microenvironmental information in the context of natural cellular structure.
CD Genomics leverages diverse and rapidly evolving spatial omics technologies to preserve the cellular spatial context in samples, which can provide high-resolution mapping directly within cells. This can be used to study phenotypic features in the context of cellular heterogeneity, microenvironment, cellular and subcellular dynamics, and ultimately help our customers decipher the molecular basis of disease.
We do it better
- Simultaneously measure epigenomic information from all different layers of the same single cell.
- Reliably analyze gene expression, DNA methylation, and chromatin accessibility within the same single cell.
- Recover subtle but biologically important differences by measuring chromatin accessibility and gene expression within the same cell.
- Enables highly parallel analysis of chromatin accessibility and individual cell nuclear mRNA.
- Describe unknown cell types, interrogate cell states and find corresponding cell functions.
- Achieve more detailed cellular phenotype characterization through multi-modal data analysis.
- Find correlations between somatic cell genotype and clonal structure and immunophenotype.
Practical applications
CD Genomics can provide quantitative data on hundreds of proteins or RNAs in the same sample, helping to address cellular complexity by gaining insights from multiple spatial scales such as cell type, intercellular communication, single-cell immunity, chromatin, and copy number, which contribute to the study of overall cellular phenotype/state, intercellular interactions and how these molecules link to their respective tissue structures to achieve tissue function.
At CD Genomics our customers can deepen their understanding of how genes are expressed and regulated in different cell types from genomic, transcriptomic, and proteomic to metabolomic scales for single-cell and spatially-based studies of complex diseases including cancer, drug resistance, and neurobiology.
