Literature DB >> 17412891

Lineage specification of hematopoietic stem cells: mathematical modeling and biological implications.

Ingmar Glauche1, Michael Cross, Markus Loeffler, Ingo Roeder.   

Abstract

Lineage specification of hematopoietic stem cells is considered a progressive restriction in lineage potential. This view is consistent with observations that differentiation and lineage specification is preceded by a low-level coexpression of lineage specific, potentially antagonistic genes in early progenitor cells. This coexistence, commonly referred to as priming, disappears in the course of differentiation when certain lineage-restricted genes are upregulated while others are downregulated. Based on this phenomenological description, we propose a quantitative model that describes lineage specification as a competition process between different interacting lineage propensities. The competition is governed by environmental stimuli promoting a drift from a multipotent coexpression to the dominance of one lineage. The assumption of a context-dependent intracellular differentiation control is consistently embedded into our previously proposed model of hematopoietic stem cell organization. The extended model, which comprises self-renewal and lineage specification, is verified using available data on the lineage specification potential of primary hematopoietic stem cells and on the differentiation kinetics of the FDCP-mix cell line. The model provides a number of experimentally testable predictions. From our results, we conclude that lineage specification is best described as a flexible and temporally extended process in which lineage commitment emerges as the result of a sequence of small decision steps. The proposed model provides a novel systems biological view on the functioning of lineage specification in adult tissue stem cells and its connections to the self-renewal properties of these cells. Disclosure of potential conflicts of interest is found at the end of this article.

Mesh:

Year:  2007        PMID: 17412891     DOI: 10.1634/stemcells.2007-0025

Source DB:  PubMed          Journal:  Stem Cells        ISSN: 1066-5099            Impact factor:   6.277


  40 in total

1.  A novel view on stem cell development: analysing the shape of cellular genealogies.

Authors:  I Glauche; R Lorenz; D Hasenclever; I Roeder
Journal:  Cell Prolif       Date:  2009-02-27       Impact factor: 6.831

Review 2.  A review of spatial computational models for multi-cellular systems, with regard to intestinal crypts and colorectal cancer development.

Authors:  Giovanni De Matteis; Alex Graudenzi; Marco Antoniotti
Journal:  J Math Biol       Date:  2012-05-08       Impact factor: 2.259

3.  Stem cell modeling: From gene networks to cell populations.

Authors:  Jincheng Wu; Mahboubeh Rahmati Rostami; Emmanuel S Tzanakakis
Journal:  Curr Opin Chem Eng       Date:  2013-02-01       Impact factor: 5.163

4.  Characterization and quantification of clonal heterogeneity among hematopoietic stem cells: a model-based approach.

Authors:  Ingo Roeder; Katrin Horn; Hans-Bernd Sieburg; Rebecca Cho; Christa Muller-Sieburg; Markus Loeffler
Journal:  Blood       Date:  2008-09-22       Impact factor: 22.113

5.  Activin and GDF11 collaborate in feedback control of neuroepithelial stem cell proliferation and fate.

Authors:  Kimberly K Gokoffski; Hsiao-Huei Wu; Crestina L Beites; Joon Kim; Euiseok J Kim; Martin M Matzuk; Jane E Johnson; Arthur D Lander; Anne L Calof
Journal:  Development       Date:  2011-08-18       Impact factor: 6.868

6.  Impact of oxygen environment on mesenchymal stem cell expansion and chondrogenic differentiation.

Authors:  A Krinner; M Zscharnack; A Bader; D Drasdo; J Galle
Journal:  Cell Prolif       Date:  2009-08       Impact factor: 6.831

7.  Feedback regulation in multistage cell lineages.

Authors:  Wing-Cheong Lo; Ching-Shan Chou; Kimberly K Gokoffski; Frederic Y-M Wan; Arthur D Lander; Anne L Calof; Qing Nie
Journal:  Math Biosci Eng       Date:  2009-01       Impact factor: 2.080

8.  From single cells to tissue architecture-a bottom-up approach to modelling the spatio-temporal organisation of complex multi-cellular systems.

Authors:  J Galle; M Hoffmann; G Aust
Journal:  J Math Biol       Date:  2008-04-02       Impact factor: 2.259

9.  Cell-cell interaction networks regulate blood stem and progenitor cell fate.

Authors:  Daniel C Kirouac; Gerard J Madlambayan; Mei Yu; Edward A Sykes; Caryn Ito; Peter W Zandstra
Journal:  Mol Syst Biol       Date:  2009-07-28       Impact factor: 11.429

10.  Cell lineages and the logic of proliferative control.

Authors:  Arthur D Lander; Kimberly K Gokoffski; Frederic Y M Wan; Qing Nie; Anne L Calof
Journal:  PLoS Biol       Date:  2009-01-20       Impact factor: 8.029

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