Literature DB >> 6509215

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

M Loeffler, P Herkenrath, H E Wichmann, B I Lord, M J Murphy.   

Abstract

A previously described mathematical model of the hematopoietic stem cell system has been extended to permit a detailed understanding of the data during and after hypoxia. The model includes stem cells, erythroid and granuloid progenitors and precursors. Concerning the intramedullary feedback mechanisms two basic assumptions are made: 1) The fraction "a" of CFU-S in active cell cycle is regulated. Reduced cell densities of CFU-S, progenitors or precursors lead to an accelerated stem cell cycling. Enlarged cell densities suppress cycling. 2) The self renewal probability "p" of CFU-S is also regulated. The normal steady state is described by p = 0.5, indicating that on statistical average each dividing mother stem cell is replaced by one daughter stem cell, while the second differentiates. Diminished cell densities of CFU-S or enlarged densities of progenitors and precursors induce a more intensive self renewal (p greater than 0.5), such that the stem cell number increases. The self renewal probability declines (p less than 0.5) if too many CFU-S or too few progenitors and precursors are present. The model reproduces bone marrow data for CFU-S, BFU-E, CFU-C, CFU-E, 59 Fe-uptake and nucleated cells in hypoxia and posthypoxia. Although the ratio of differentiation into the erythroid and granuloid cell lines is kept constant in the model, a changing ratio of CFU-E and CFU-C results. The model suggests that stem cells and progenitor cells are regulated by a regulatory interference of erythropoiesis and granulopoiesis.

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Year:  1984        PMID: 6509215     DOI: 10.1007/bf00320485

Source DB:  PubMed          Journal:  Blut        ISSN: 0006-5242


  22 in total

1.  THE EFFECT OF ERYTHROPOIETIC STIMULATION ON THE HEMOPOIETIC COLONY-FORMING CELLS OF MICE.

Authors:  W R BRUCE; E A MCCULLOCH
Journal:  Blood       Date:  1964-02       Impact factor: 22.113

2.  The role of erythropoietin in regulation of population size and cell cycling of early and late erythroid precursors in mouse bone marrow.

Authors:  N N Iscove
Journal:  Cell Tissue Kinet       Date:  1977-07

3.  Regulation of erythropoiesis (XXIV). Studies on the post-hypoxic "rebound" phase.

Authors:  R K Shadduck; B Kubanek; A Porcellini; L Ferrari; W S Tyler; D Howard; F Stohlman
Journal:  Blood       Date:  1969-10       Impact factor: 22.113

4.  Regulation of erythropoiesis. 23. Dissociation between stem cell and erythroid response to hypoxia.

Authors:  B Kubanek; L Ferrari; W S Tyler; D Howard; S Jay; F Stohlman
Journal:  Blood       Date:  1968-10       Impact factor: 22.113

5.  Comparison of radiation sensitivity, endogenous colony formation, and erythropoietin response following prolonged hypoxia exposure.

Authors:  J P Okunewick; K M Hartley; J Darden
Journal:  Radiat Res       Date:  1969-06       Impact factor: 2.841

6.  The post hypoxic bone marrow and spleen composition.

Authors:  M Beran; B Tribukait
Journal:  Scand J Haematol       Date:  1971

7.  Statistical analysis of splenic colony histology: an attempt to confirm that external factors could affect the channelling of CFUS differentiation.

Authors:  J Y Mary; M Guiguet; F Sainteny; D Dumenil; E Frindel
Journal:  Exp Hematol       Date:  1983-04       Impact factor: 3.084

8.  A solution to the controversy on stem cell regulation.

Authors:  H E Wichmann; M Loeffler
Journal:  Blood Cells       Date:  1982

Review 9.  Regulatory mechanisms acting on hemopoietic stem cells. Some clinical implications.

Authors:  E A McCulloch; J E Till
Journal:  Am J Pathol       Date:  1971-12       Impact factor: 4.307

10.  Kinetics of erythroid and myeloid stem cells in post-hypoxia polycythaemia.

Authors:  C Peschle; M C Magli; C Cillo; F Lettieri; A Genovese; F Pizzella; A Soricelli
Journal:  Br J Haematol       Date:  1977-11       Impact factor: 6.998

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  2 in total

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Journal:  Nat Genet       Date:  2014-08-17       Impact factor: 38.330

2.  Longitudinal Multi-omics Analyses Identify Responses of Megakaryocytes, Erythroid Cells, and Plasmablasts as Hallmarks of Severe COVID-19.

Authors:  Joana P Bernardes; Neha Mishra; Florian Tran; Thomas Bahmer; Lena Best; Johanna I Blase; Dora Bordoni; Jeanette Franzenburg; Ulf Geisen; Jonathan Josephs-Spaulding; Philipp Köhler; Axel Künstner; Elisa Rosati; Anna C Aschenbrenner; Petra Bacher; Nathan Baran; Teide Boysen; Burkhard Brandt; Niklas Bruse; Jonathan Dörr; Andreas Dräger; Gunnar Elke; David Ellinghaus; Julia Fischer; Michael Forster; Andre Franke; Sören Franzenburg; Norbert Frey; Anette Friedrichs; Janina Fuß; Andreas Glück; Jacob Hamm; Finn Hinrichsen; Marc P Hoeppner; Simon Imm; Ralf Junker; Sina Kaiser; Ying H Kan; Rainer Knoll; Christoph Lange; Georg Laue; Clemens Lier; Matthias Lindner; Georgios Marinos; Robert Markewitz; Jacob Nattermann; Rainer Noth; Peter Pickkers; Klaus F Rabe; Alina Renz; Christoph Röcken; Jan Rupp; Annika Schaffarzyk; Alexander Scheffold; Jonas Schulte-Schrepping; Domagoj Schunk; Dirk Skowasch; Thomas Ulas; Klaus-Peter Wandinger; Michael Wittig; Johannes Zimmermann; Hauke Busch; Bimba F Hoyer; Christoph Kaleta; Jan Heyckendorf; Matthijs Kox; Jan Rybniker; Stefan Schreiber; Joachim L Schultze; Philip Rosenstiel
Journal:  Immunity       Date:  2020-11-26       Impact factor: 31.745

  2 in total

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