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CellTracer: a comprehensive database to dissect the causative multilevel interplay contributing to cell development
Qiuyan Guo1, Peng Wang1, Qian Liu1
1Department of Gynecology of the First Affiliated Hospital, College of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, China.
Nucleic Acids Research
|October 16, 2022
Summary
CellTracer is a new database that maps cell development trajectories by analyzing gene expression and multilevel interactions. This resource aids in understanding tumor development and discovering biomarkers for precision medicine.
Area of Science:
- Computational Biology
- Genomics
- Cancer Research
Background:
- Tumor development involves complex cellular changes influenced by gene expression, network regulation, and pathway activation.
- The tumor microenvironment significantly impacts therapeutic responses and patient outcomes.
- Understanding cellular development trajectories is crucial for advancing precision medicine.
Purpose of the Study:
- To introduce CellTracer, a database designed to dissect the multilevel interplay driving cell development trajectories.
- To provide a comprehensive resource for exploring molecular events and crosstalk within distinct cell populations.
- To facilitate biomarker discovery and therapeutic exploration in the tumor microenvironment.
Main Methods:
- Integrated 1,941,552 single-cell gene expression profiles from 222 datasets.
- Developed a database (CellTracer) to visualize and analyze cell development trajectories.
- Incorporated 12 analytical tools for exploring gene expression, cell clusters, and trajectory variations.
Main Results:
- CellTracer provides insights into the dynamic development of cell populations.
- Users can investigate alterations in molecular events and crosstalk along cell trajectories.
- The database facilitates the examination of relationships between cell states, conditions, and clinical treatments.
Conclusions:
- CellTracer offers a foundational resource for understanding the multilevel interplay in cell development.
- It supports biomarker discovery and therapeutic strategy development for the tumor microenvironment.
- The database aids in dissecting pathological development for personalized treatment approaches.
