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Related Experiment Video

Updated: Jul 23, 2025

Visualization, Quantification, and Mapping of Immune Cell Populations in the Tumor Microenvironment

Visualization, Quantification, and Mapping of Immune Cell Populations in the Tumor Microenvironment

Published on: March 25, 2020

A global database for modeling tumor-immune cell communication.

Yunjin Xie¹, Weiwei Zhou¹, Jingyi Shi¹

¹College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, 150081, China.

Scientific Data

|July 12, 2023

Summary

A new database, TICCom, models tumor-immune cell (TIC) communications. It integrates validated and predicted interactions, offering a comprehensive resource for cancer research and understanding tumor immunity.

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Area of Science:

Cancer immunology
Computational biology
Bioinformatics

Background:

Tumor cells and immune cells communicate, influencing tumor immunity.
Existing knowledge on tumor-immune cell (TIC) communications is fragmented across numerous studies.
Systematic characterization of TIC communications across various cancers is challenging.

Purpose of the Study:

To develop a comprehensive database, TICCom, for modeling TIC communications.
To consolidate experimentally validated and computationally predicted TIC interactions.
To provide a centralized resource for studying TIC communications in cancer.

Main Methods:

Collected 739 experimentally-validated or manually-curated TIC interactions from over 3,000 literature sources.
Inferred 4,537,709 predicted interactions using six computational algorithms.
Reanalyzed 32 scRNA-seq and bulk RNA-seq datasets across 25 cancer types.
Integrated ligand-receptor interactions and functional information.

Main Results:

TICCom models communications between tumor cells and 14 types of immune cells.
The database contains 14,190 human and 3,650 mouse integrated ligand-receptor interactions.
Includes supplementary functional information for these interactions.

Conclusions:

TICCom serves as a valuable, comprehensive resource for investigating tumor-immune cell communications.
Facilitates systematic characterization of TIC interactions across diverse cancer types.
Aids researchers in understanding the complex interplay shaping tumor immunity.