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Published on: December 14, 2018
ProgeniDB: a novel cell lineage database for generation associated phenotypic behavior in cell-based assays
Imtiaz A Khan1, Peter Husemann, Lee Campbell
1Biostatistics and Bioinformatics Unit, School of Medicine, Cardiff University, Cardiff, UK. wpciak@cf.ac.uk
Cell Cycle (Georgetown, Tex.)
|March 28, 2007
Summary
ProgeniDB is a new cell lineage database that tracks cellular dynamics using ProgeniTRAK software. It aids in understanding anti-cancer drug effects for pharmacodynamic modeling and drug discovery.
Area of Science:
- Bioinformatics
- Cell Biology
- Pharmacology
Background:
- Accurate cell lineage tracking is crucial for understanding cellular dynamics.
- Existing methods may lack the capacity to capture dynamic cellular events over time.
- Pharmacodynamic modeling requires detailed quantitative and qualitative data on cellular responses to drugs.
Purpose of the Study:
- To introduce ProgeniDB, a novel web-accessible database for cell lineage data.
- To provide tools for analyzing cellular dynamics in response to anti-cancer drugs.
- To facilitate pharmacodynamic modeling and hypothesis-driven drug discovery.
Main Methods:
- Utilized time-lapse microscopy image sequences for data acquisition.
- Developed ProgeniTRAK software for encoding cell lineage information.
- Constructed bifurcation maps to visualize cell division and death events in space and time.
Main Results:
- ProgeniDB offers a platform to select and observe phenotypic behavior of progenitor cells under various experimental constraints.
- The database outputs downloadable cellular dynamic data for selected populations.
- A case study demonstrated the interrogation of drug-induced perturbations on cell lineages.
Conclusions:
- ProgeniDB enhances the study of cellular dynamics and drug responses.
- The database supports pharmacodynamic modeling and validation.
- ProgeniDB is a valuable resource for drug discovery research.
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