Document Detail


A novel view on stem cell development: analysing the shape of cellular genealogies.
MedLine Citation:
PMID:  19254328     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
OBJECTIVES: The analysis of individual cell fates within a population of stem and progenitor cells is still a major experimental challenge in stem cell biology. However, new monitoring techniques, such as high-resolution time-lapse video microscopy, facilitate tracking and quantitative analysis of single cells and their progeny. Information on cellular development, divisional history and differentiation are naturally comprised into a pedigree-like structure, denoted as cellular genealogy. To extract reliable information concerning effecting variables and control mechanisms underlying cell fate decisions, it is necessary to analyse a large number of cellular genealogies. MATERIALS AND METHODS: Here, we propose a set of statistical measures that are specifically tailored for the analysis of cellular genealogies. These measures address the degree and symmetry of cellular expansion, as well as occurrence and correlation of characteristic events such as cell death. Furthermore, we discuss two different methods for reconstruction of lineage fate decisions and show their impact on the interpretation of asymmetric developments. In order to illustrate these techniques, and to circumvent the present shortage of available experimental data, we obtain cellular genealogies from a single-cell-based mathematical model of haematopoietic stem cell organization. RESULTS AND CONCLUSIONS: Based on statistical analysis of cellular genealogies, we conclude that effects of external variables, such as growth conditions, are imprinted in their topology. Moreover, we demonstrate that it is essential to analyse timing of cell fate-specific changes and of occurrence of cell death events in the divisional context in order to understand the mechanisms of lineage commitment.
Authors:
I Glauche; R Lorenz; D Hasenclever; I Roeder
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Publication Detail:
Type:  Journal Article; Research Support, Non-U.S. Gov't     Date:  2009-02-27
Journal Detail:
Title:  Cell proliferation     Volume:  42     ISSN:  1365-2184     ISO Abbreviation:  Cell Prolif.     Publication Date:  2009 Apr 
Date Detail:
Created Date:  2009-03-25     Completed Date:  2009-04-16     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  9105195     Medline TA:  Cell Prolif     Country:  England    
Other Details:
Languages:  eng     Pagination:  248-63     Citation Subset:  IM    
Affiliation:
Institute for Medical Informatics, Statistics and Epidemiology, University of Leipzig, Leipzig, Germany. ingmar.glauche@imise.uni-leipzig.de
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MeSH Terms
Descriptor/Qualifier:
Algorithms
Animals
Cell Culture Techniques
Cell Cycle / physiology
Cell Death / physiology
Cell Differentiation / physiology*
Cell Lineage / physiology*
Cell Proliferation
Computer Simulation
Hematopoiesis / physiology
Hematopoietic Stem Cells / cytology,  physiology
Homeostasis / physiology
Humans
Models, Biological*
Models, Statistical
Stem Cells / cytology*,  physiology

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


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