Document Detail


Computational prediction of neural progenitor cell fates.
MedLine Citation:
PMID:  20139969     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
Understanding how stem and progenitor cells choose between alternative cell fates is a major challenge in developmental biology. Efforts to tackle this problem have been hampered by the scarcity of markers that can be used to predict cell division outcomes. Here we present a computational method, based on algorithmic information theory, to analyze dynamic features of living cells over time. Using this method, we asked whether rat retinal progenitor cells (RPCs) display characteristic phenotypes before undergoing mitosis that could foretell their fate. We predicted whether RPCs will undergo a self-renewing or terminal division with 99% accuracy, or whether they will produce two photoreceptors or another combination of offspring with 87% accuracy. Our implementation can segment, track and generate predictions for 40 cells simultaneously on a standard computer at 5 min per frame. This method could be used to isolate cell populations with specific developmental potential, enabling previously impossible investigations.
Authors:
Andrew R Cohen; Francisco L A F Gomes; Badrinath Roysam; Michel Cayouette
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Publication Detail:
Type:  Journal Article; Research Support, Non-U.S. Gov't     Date:  2010-02-07
Journal Detail:
Title:  Nature methods     Volume:  7     ISSN:  1548-7105     ISO Abbreviation:  Nat. Methods     Publication Date:  2010 Mar 
Date Detail:
Created Date:  2010-03-02     Completed Date:  2010-03-25     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  101215604     Medline TA:  Nat Methods     Country:  United States    
Other Details:
Languages:  eng     Pagination:  213-8     Citation Subset:  IM    
Affiliation:
Department of Electrical Engineering and Computer Science, University of Wisconsin, Milwaukee, Wisconsin, USA.
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MeSH Terms
Descriptor/Qualifier:
Algorithms
Animals
Cell Division
Cells, Cultured
Microscopy
Oligodendroglia / cytology*
Phenotype
Rats
Rats, Sprague-Dawley
Retina / cytology*
Stem Cells / physiology*
Grant Support
ID/Acronym/Agency:
//Canadian Institutes of Health Research

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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