CellTracer

CellTracer elucidates multilevel interactions that shape cell development trajectories in tumour progression by integrating single-cell gene expression data.

Key Features:

• Extensive Data Repository: Houses gene expression profiles from 1,941,552 cells across 222 single-cell datasets.
• Development Trajectories Analysis: Provides insights into developmental pathways of distinct cell populations within the tumour microenvironment.
• Multilevel Interplay Exploration: Enables investigation of molecular alterations and causative crosstalk among genes, biological contexts, cell characteristics, and clinical treatments along development trajectories.
• Analytical Toolkit: Offers 12 analytical tools for retrieval and analysis of gene expression, cell cluster distribution, cell development trajectories, and cell-state variations under varying conditions.

Scientific Applications:

• Pathological Development Analysis: Characterizes developmental landscapes of tumour-associated cell populations to clarify pathological processes.
• Precision Medicine: Identifies driver features at multiple levels to support tailoring therapeutic strategies based on specific cellular behaviors and interactions.
• Biomarker Discovery: Facilitates identification of candidate diagnostic and prognostic biomarkers from multilevel gene expression and trajectory data.
• Therapeutic Exploration: Enables examination of relationships between cell characteristics, molecular events, and clinical treatments to inform therapeutic hypotheses within the tumour microenvironment.

Methodology:

Contains gene expression profiles from 1,941,552 cells across 222 single-cell datasets and provides 12 analytical tools for retrieval and analysis of gene expression, cell cluster distribution, development trajectories, and cell-state variations.