Intercellular Communication Analysis Services

Inquiry

Cell-level transcriptomics approaches allow the analysis of gene expression heterogeneity in individual cells to study cell fate determination mechanisms. Dissociating tissues into individual cells allows for high-throughput genomic measurements, but spatial information about cells is often lost, and spatial histology technologies are advancing the study of tissue and cellular communication at an unprecedented scale.

How we provide cell-to-cell communication analysis services

CD Genomics leverages computational tools to obtain spatial information at the cell cluster level through data preparation, communication network construction, and result validation, combined with gene expression data at the individual cell level to identify spatial domains with coherent gene expression in spatial imaging (e.g., in situ hybridization). This allows intercellular communication quantification by inferring intercellular communication from gene expression data at the individual cell level, allowing researchers to better infer communication between cells located at different locations in intact tissues.

General process

Figure 1. General procedures for analyzing cell-cell communication in complex cellular systems. (Shao X., et al., 2020)

Perform pre-processing such as dissection of samples (human, mouse).
The prepared samples are subjected to cell-level RNA sequencing analysis to obtain transcriptome data from individual cells, in preparation for the construction of intercellular communication networks.
In combination with statistical analysis, cell-gene matrices generated by the protocol and cell-cell linkage matrices derived from the communication network were integrated to study cell-cell communication at individual-cell resolution.
Validation is performed for inferred cell-cell communication.

Using the power of individual cell gene expression analysis technology, the physical neighbor structure-based strategy enables cell-cell communication analysis at individual-cell resolution by spatially decoding the cell types of interacting structures in microdissection or microfluidic collections.

Strategy based on physical proximity structure

Perturbation experiments under inhibitory conditions are used to validate chemical signal-dependent cell-cell communication based on ligand-receptor interactions, enabling the inference of not only neighboring cell-cell communication but also distant cell-cell communication via indirect ligand-receptor interactions.

Ligand-receptor interaction-based strategy

We do better

Mapping between gene expression data at the individual cell level and spatial data
Infer spatial distances between individual cells
Quantitatively compare spatial gene expression patterns
Reconstruct spatial cell-cell communication
Estimate the spatial extent of specific types of intercellular signaling
Identify gene pairs that may regulate each other between cells

Practical applications

With CD Genomics' RNA sequencing at the level of individual cells data-based cell-cell communication analysis services, researchers can elucidate physiological processes such as embryogenesis, homeostasis, and organogenesis, understand the pathogenesis and progression of diseases such as cancer, liver disease, and inflammation, or study the underlying mechanisms of pharmacology and drug resistance, which may provide insights into new therapeutic strategies and targets.

For research use only, not intended for any clinical use.