🔬 CancerSEA-X & CancerSEA

A Comprehensive Single-cell Resource for Tumor Microenvironment (TME) Cell States

Welcome to the architectural repository for CancerSEA-X and its predecessor, CancerSEA.

CancerSEA (2019) was the first landmark cancer single-cell functional state atlas. Building upon this foundation, CancerSEA-X (2026) is a massive, comprehensive upgrade dedicated to systematically characterizing distinct cell states across malignant, immune, and stromal cells within the pan-cancer tumor microenvironment (TME).

🌐 Official Database Access: https://biocc.hrbmu.edu.cn/CancerSEA-X/

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📊 Database Statistics (CancerSEA-X)

To comprehensively decode the TME, CancerSEA-X integrates massive-scale single-cell RNA-seq datasets, achieving unprecedented resolution and scale:

Metric	Count	Breakdown of the 156 Cell States
Single Cells	9,608,163	🦠 25 Cancer cell states
Datasets	239	🛡️ 52 T cell states | 19 B cell states
Cancer Types	32	🩸 3 Monocyte states | 16 Macrophage states
Cell States	156	🧬 15 Dendritic cell states
		🧱 12 CAF states | 14 Endothelial cell states

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✨ Core Features & Analytical Modules

1. 🔍 TME Cell State Exploration

• Covers a comprehensive catalog of 25 cancer cell states, 105 immune cell states, and 26 stromal cell states.
• Enables one-stop query and direct downloading of state-specific signature genes and functional activity spectrums.

2. 🔄 Bidirectional State-Gene Search

• State-to-Gene: Select a specific cell state to obtain a robust list of genes significantly correlated with that state within a specific cancer type.
• Gene-to-State: Input any gene of interest to retrieve its significantly correlated cell states across cancer types, complete with detailed statistical correlations.

3. 🕸️ Cross-cell-type State-Gene Network

• Visually and interactively explores the complex functional associations between cell states and genes.
• Supports dynamic interactive exploration to pinpoint key hub genes and critical cell states driving the TME ecosystem.

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📸 Platform Preview

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💻 About the Architecture

Note: This repository serves as a structural demonstration of the web application. Due to laboratory data privacy policies and the massive size of the raw single-cell count matrices, the backend database and core source code are maintained internally.

The CancerSEA-X platform is powered by a robust full-stack architecture designed to handle high-concurrency data retrieval for over 9.6 million cells:

• Frontend / Visualization: webpack, D3.js, ECharts, HTML5/CSS3, Bootstrap
• Backend / Logic: Java, MySQL

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📖 Citation and Contact

If you find our resource helpful in your research, please cite our publications:

1. CancerSEA-X:

   CancerSEA-X: A Single-cell Resource for Tumor Microenvironment Cell States Across over 30 Cancer Types. Genomics, Proteomics & Bioinformatics, 2026.

2. CancerSEA:

   Yuan H, Yan M, Zhang G, Liu W, et al. CancerSEA: a cancer single-cell state atlas. Nucleic Acids Research, 2019.

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© 2025 College of Bioinformatics Science and Technology, Harbin Medical University.