Cell Level Interaction Analysis


Intercellular interactions play a vital role in the growth, development, and function of multicellular organisms. Cells in the body drive many physiological processes through interactions and maintain homeostasis together. Many methods can be specifically used to analyze the interaction between cells and matrix, and the complex correlation between cells has brought many challenges to the study of cell-cell interaction, so many intercellular interactions have not been well characterized.

In the tumor microenvironment (TME), the intercellular interaction is more complicated. Because there are not only normal cells and cancer cells in tumor tissues but also a large number of non-cellular components, these various interactions together promote the occurrence and development of cancer. Therefore, understanding the cell-cell interactions in the tumor microenvironment (TME) can not only provide an in-depth understanding of oncology but also accelerate the development of new drugs for the treatment of cancer.

In recent years, nanomedicine has received more and more attention. Compared with traditional materials, nanomaterials have significant advantages in drug delivery and biosensing due to their unique biomimetic properties, but they also have certain side effects. Therefore, studying the cell-nanoparticle interaction to develop and optimize nanomaterials has important scientific significance in the field of biomedicine.

Current applications of cell-cell communications at a single-cell resolutionFig 1. Current applications of cell-cell communications at a single-cell resolution (Shao, X.; et al. 2020)

Our Services


  • Compatible with multiple platforms
  • High resolution and high accuracy  
  • Powerful data analysis tools
  • Able to handle low-abundance samples
  • Experienced technical team
  • Cost-effective  

Cells are the basic structural and functional units of organisms, and studying the interactions at the cell level will help us understand the basis of life. The multiple platforms established by Creative Proteomics combine a large number of outstanding and mature technologies to provide customers with qualitative and quantitative information on cell-level interactions in an all-round way. We are honored to be your competent research assistant.


  1. Shao, X.; et al. New avenues for systematically inferring cell-cell communication: through single-cell transcriptomics data. Protein & Cell. 2020.
* This service is for RESEARCH USE ONLY, not intended for any clinical use.