InquiryCellular heterogeneity underpins many life processes, from normal development to disease progression. Since the advent of single-cell sequencing, cellular heterogeneity has been heavily studied in search of new insights into disease onset, which coupled with the spatial context of tissue samples has brought the granularity of relevant studies to a more refined level.
Our single-cell retrieval and molecular analysis services
The single-cell analysis allows the exploration of cell types and states in normal physiological processes and pathological processes. CD Genomics offers single-cell retrieval and molecular analysis to dissect cellular heterogeneity at the granularity level and without losing the spatial contextual information of tissue samples, we enhance your single-cell studies with highly sophisticated in situ spatial analysis.
Figure 1. Multimodal and integrative methods for single-cell analyses. (Stuart T., et al., 2019)
CD Genomics advances new insights in a variety of disease research areas with accurate image-based cell type identification, reliable single-cell isolation, preservation of nucleic acid integrity, and a workflow compatible with RNA and DNA analysis to provide spatial omics services such as single-cell retrieval and molecular analysis.
Our strategy for obtaining molecules and their spatial information from complex tissues
- The imaging-based strategy combines high-resolution microscopy with fluorescence in situ hybridization to achieve subcellular resolution and allows analysis of the entire transcriptome.
- Hybridizing RNA from tissue sections directly to microarrays containing spatially barcoded oligonucleotide (dT) spots or beads to encode positional information into RNA-seq libraries allows sampling of the entire transcriptome without iterative rounds of hybridization.
- Encode the spatial location of each cell in a tissue sample into a combined indexed RNA-seq library for both single-cell and spatial transcriptome analysis.
CD Genomics offers an integrated system with a proven in situ hybridization system, high-resolution imaging readouts, and interactive data analysis and visualization software that is compatible with any sample type, including FFPE tissues.
Our advantages
- The ability to obtain both spatial and single-cell transcriptome data simultaneously allows us to assess the impact of cell composition on cross-spatial gene expression patterns.
- Ability to perform unbiased single-cell searches and molecular analyses to capture all cell types and states while placing each cell in the spatial context of complex tissue.
- This is a flexible spatial single-cell solution that facilitates insight into cellular mapping, intercellular interactions, cellular processes, and biomarker discovery.
Reference
- Stuart T., et al., (2019). "Integrative single-cell analysis." Nature Reviews Genetics, 20: 257-272.
