ProgeniDB: A Novel Cell Lineage Database for Generation Associated Phenotypic Behavior in Cell-based Assays

ProgeniDB is a web-accessible cell lineage database, which comprises data derived from time-lapse microscopy image sequences, using our novel encoding software tool called ProgeniTRAK. This database provides information on qualitative and quantitative changes in cellular dynamics in response to anti...

Full description

Saved in:
Bibliographic Details
Published in:Cell cycle (Georgetown, Tex.) Tex.), 2007-04, Vol.6 (7), p.868-874
Main Authors: Khan, Imtiaz A., Husemann, Peter, Campbell, Lee, White, Nick S., White, Richard J., Smith, Paul J., Errington, Rachel J.
Format: Article
Language:English
Subjects:
Adolescent
Antineoplastic Agents - pharmacology
Binding
Biology
Bioscience
Calcium
Cancer
Cell
Cell Death - drug effects
Cell Death - physiology
Cell Differentiation - physiology
Cell Division - drug effects
Cell Division - physiology
Cell Line, Tumor
Cell Lineage - physiology
Colony-Forming Units Assay - methods
Colony-Forming Units Assay - trends
Computer Simulation
Cycle
Databases, Factual - standards
Databases, Factual - trends
Drug Screening Assays, Antitumor - methods
Drug Screening Assays, Antitumor - trends
Female
Humans
Landes
Organogenesis
Phenotype
Proteins
Reproducibility of Results
Stem Cells - cytology
Stem Cells - drug effects
Stem Cells - physiology
Citations: Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:ProgeniDB is a web-accessible cell lineage database, which comprises data derived from time-lapse microscopy image sequences, using our novel encoding software tool called ProgeniTRAK. This database provides information on qualitative and quantitative changes in cellular dynamics in response to anticancer drugs variation, which is critical for pharmacodynamic modeling and validation. The lineage data for each progenitor cell centers around the construction of a bifurcation map, locating in both space and time critical cellular events such as cell division and cell death. This database provides the opportunity to select a set of lineages based on different experimental constraints and observe the associated phenotypic behavior of progenitor cells. The output generated from this database depicts the cellular dynamic of selected population which can be downloaded to explore and exploit in relation to hypothesis-driven drug discovery. A case study is presented where we interrogate drug induced perturbations on ensuing cell lineages. The database is available at http://biodiversity.cs.cf.ac.uk/cymart/progenidb.html
ISSN:1538-4101
1551-4005
DOI:10.4161/cc.6.7.4045