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Rapid Detection of Neurodevelopmental Phenotypes in Human Neural Precursor Cells (NPCs)
Published on: March 2, 2018
Web-based method for translating neurodevelopment from laboratory species to humans.
Barbara Clancy1, Brandon Kersh, James Hyde
1Department of Biology, University of Central Arkansas, Conway, Arkansas 72035, USA. barbaraclancy@mac.com
Neuroinformatics
|April 12, 2007
Summary
This study presents a database website integrating mammalian neurodevelopmental events. It enables real-time comparison and prediction of developmental timing across species, aiding biomedical research.
Area of Science:
- Comparative neurodevelopment
- Mammalian brain development
- Developmental biology
Background:
- Biomedical research requires comparing neurodevelopmental data across mammals with varying brain growth rates.
- Existing literature is vast and difficult to integrate for cross-species analysis.
Purpose of the Study:
- To create a database-driven website for integrating and comparing mammalian neurodevelopmental events.
- To provide a tool for estimating the timing of neurodevelopmental events across species, including humans.
Main Methods:
- Developed a website utilizing statistical algorithms and a Structured Query Language database.
- Integrated 102 neurodevelopmental events from 10 mammalian species.
- Implemented Hypertext Preprocessor language for real-time data conversion and access.
Main Results:
- The website (http://translatingtime.net/) incorporates data from hamsters, mice, rats, rabbits, spiny mice, guinea pigs, ferrets, cats, rhesus monkeys, and humans.
- Statistical algorithms facilitate real-time conversion of developmental timing (postconception days) and enable predictions for missing data.
- A mechanism for submitting additional data is included to expand the database.
Conclusions:
- The web portal provides readily accessible comparative neurodevelopmental data for researchers and medical professionals.
- The tool aids in efficiently estimating neurodevelopmental event timing in humans, laboratory species, and across multiple species.
- The database facilitates a deeper understanding of evolutionary and developmental trajectories in mammalian brains.
