Literature DB >> 7006823

A comprehensive mathematical model of stem cell proliferation which reproduces most of the published experimental results.

M Loeffler, H E Wichmann.   

Abstract

On the basis of experimental knowledge about haemopoietic stem cells a catalogue of fundamental statements is formulated. From this a simple mathematical model of haemopoietic regulation mechanisms is developed. The functional net effects of regulatory processes which are still unknown or unmeasurable are estimated using evolution arguments. The model is developed in three steps. It allows description of the self-replication of stem cells after direct destruction as well as their reaction to increased or reduced needs in the erythropoietic system. The most important experimental data about changes in CFUs, BFUe and CFUe after acute or chronic irradiation, anaemia, hypoxia, hypertransfusion or direct erythropoietic stimulation can be reproduced within the model. The model allows us to understand most of the results of experimental stem cell research. Furthermore, it can be applied for a more precise analysis of the existing data. Predictions about the results of certain experiments can be made.

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Year:  1980        PMID: 7006823     DOI: 10.1111/j.1365-2184.1980.tb00494.x

Source DB:  PubMed          Journal:  Cell Tissue Kinet        ISSN: 0008-8730


  14 in total

1.  Mathematical modeling of stem cell proliferation.

Authors:  Mohammad A Tabatabai; Zoran Bursac; Wayne M Eby; Karan P Singh
Journal:  Med Biol Eng Comput       Date:  2010-10-16       Impact factor: 2.602

2.  Stochastic modeling of stress erythropoiesis using a two-type age-dependent branching process with immigration.

Authors:  O Hyrien; S A Peslak; N M Yanev; J Palis
Journal:  J Math Biol       Date:  2014-07-03       Impact factor: 2.259

3.  Dynamical modelling of haematopoiesis: an integrated view over the system in homeostasis and under perturbation.

Authors:  Erica Manesso; José Teles; David Bryder; Carsten Peterson
Journal:  J R Soc Interface       Date:  2013-03-06       Impact factor: 4.118

4.  Inference for an age-dependent, multitype branching-process model of mast cells.

Authors:  J Nedelman; H Downs; P Pharr
Journal:  J Math Biol       Date:  1987       Impact factor: 2.259

Review 5.  [Mathematical models in hematology].

Authors:  H E Wichmann; M Loeffler; P Herkenrath; M D Gerhardts; C Wesselborg; H Wulff
Journal:  Klin Wochenschr       Date:  1983-10-03

Review 6.  Modeling head and neck cancer stem cell-mediated tumorigenesis.

Authors:  Alexander T Pearson; Trachette L Jackson; Jacques E Nör
Journal:  Cell Mol Life Sci       Date:  2016-05-05       Impact factor: 9.261

7.  Practical Modeling Concepts for Connective Tissue Stem Cell and Progenitor Compartment Kinetics.

Authors:  George F. Muschler; Ronald J. Midura; Chizu Nakamoto
Journal:  J Biomed Biotechnol       Date:  2003

8.  The kinetics of hematopoietic stem cells during and after hypoxia. A model analysis.

Authors:  M Loeffler; P Herkenrath; H E Wichmann; B I Lord; M J Murphy
Journal:  Blut       Date:  1984-12

9.  Pharmacodynamic model of interleukin-21 effects on red blood cells in cynomolgus monkeys.

Authors:  Rune V Overgaard; Mats Karlsson; Steen H Ingwersen
Journal:  J Pharmacokinet Pharmacodyn       Date:  2007-05-22       Impact factor: 2.745

10.  A deterministic model for the occurrence and dynamics of multiple mutations in hierarchically organized tissues.

Authors:  Benjamin Werner; David Dingli; Arne Traulsen
Journal:  J R Soc Interface       Date:  2013-06-05       Impact factor: 4.118

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