About 40 trillion cells are needed in the human body, and they work together to build an organism and maintain homeostasis. These complex processes not only rely on long-distance communication between cells but also include communication with their immediate neighbors. The interactions between cells affect development, homeostasis, and disease, etc. In cancer, the interaction between cancer cells and stromal cells affects almost every step of cancer occurrence and development. Therefore, the ability to analyze cell-cell interactions will not only help us understand cell-cell communication in depth, but will also help us analyze the role of the tumor microenvironment in the cancer process.
Although there is increasing interest in discovering and understanding cellular heterogeneity in tissues and disease states, there is still too little knowledge about how cell-cell interactions affect cell state and how to achieve function, and the main reason is that the methods that help us capture the interactions between cells are limited. With the development of various technologies for detecting and quantifying protein-protein interactions, we have gradually deepened our biochemical understanding of molecular systems. The development of new systems for detecting and quantifying cell-cell interactions will accelerate the discovery and mapping of interaction networks of multicellular systems.
Fig 1. Overview of the main applications of cell-cell interaction (Armingol, E.; et al. 2020)
At present, most of the existing methods for studying cell interactions require predicting the types of interacting cells, it is difficult to discover or study cell-cell interactions of unknown cell types in a complex living environment. Therefore, Creative Proteomics has introduced a new type of labeling method to label cells of unknown cell types in their natural state, and to study their interactions.
Based on the "protein directed evolution " technology and the "proximity labeling" strategy, we have achieved in situ capture of dynamic interactions between cells. This method is not only easy to monitor, it can also be compatible with a variety of downstream analysis platforms in the future to complete the capture, enrichment, and sequencing of interacting cells, so as to obtain information about the cell-cell interactions in terms of time, space, type, etc. The research results extend the protein proximity labeling strategy from "intracellular" to "extracellular", and it has broad application prospects in areas such as immune response and nerve conduction.
Customers can choose a certain technology according to the needs of the project, or contact us directly for consultation, and our expert team will provide you with a customized experimental program.
Creative Proteomics continuously introduces new technologies in cell-cell interaction research to expand the platform. At present, our platform combined with a variety of advanced technologies to help customers accurately, efficiently, and in situ analyze cell-cell interactions, and finally obtain high-quality experimental data. We are honored to be your competent research assistant.