Related Experiment Video
Updated: Sep 15, 2025
09:58
Using RNA-sequencing to Detect Novel Splice Variants Related to Drug Resistance in In Vitro Cancer Models
Published on: December 9, 2016
13.9K
Deciphering cancer therapy resistance via patient-level single-cell transcriptomics with CellResDB
Tianyuan Liu1,2, Huiyuan Qiao3, Liping Ren4
1Innovative Institute of Chinese Medicine and Pharmacy, Academy for Interdiscipline, Chengdu University of Traditional Chinese Medicine, Chengdu, 611137, China.
Communications Biology
|July 15, 2025
Summary
CellResDB is a new database offering insights into cancer therapy resistance by analyzing millions of cells from diverse patient samples. This resource aids in understanding tumor microenvironment dynamics and improving cancer treatments.
Area of Science:
- Oncology
- Bioinformatics
- Immunology
Background:
- Cancer therapy resistance is a significant clinical challenge.
- Existing databases lack single-cell resolution and comprehensive clinical data for studying resistance mechanisms.
- Understanding the tumor microenvironment (TME) is crucial for overcoming therapy resistance.
Purpose of the Study:
- To develop a comprehensive, patient-derived database for studying cancer therapy resistance.
- To provide high-resolution single-cell data with extensive TME annotations linked to treatment outcomes.
- To create an accessible platform for researchers to explore resistance mechanisms.
Main Methods:
- Compiled a large-scale dataset of nearly 4.7 million cells from 1391 patient samples across 24 cancer types.
- Integrated single-cell RNA sequencing data with detailed clinical and TME annotations.
- Developed an intelligent robot (CellResDB-Robot) for intuitive data retrieval and analysis.
Main Results:
- Established CellResDB, a unique resource detailing TME features associated with cancer therapy resistance.
- The database enables in-depth analysis of cellular heterogeneity and its role in treatment failure.
- Demonstrated the utility of LLMs in biomedical database applications.
Conclusions:
- CellResDB serves as a valuable resource for advancing cancer therapy research.
- The platform facilitates the systematic investigation of patient-level resistance mechanisms.
- CellResDB promotes a deeper understanding of TME dynamics in therapeutic contexts.
