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

Manesso, Erica LU ; Teles, José LU ; Bryder, David LU and Peterson, Carsten LU (2013) In Journal of the Royal Society Interface 10(80).
Abstract
A very high number of different types of blood cells must be generated daily through a process called haematopoiesis in order to meet the physiological requirements of the organism. All blood cells originate from a population of relatively few haematopoietic stem cells residing in the bone marrow, which give rise to specific progenitors through different lineages. Steady-state dynamics are governed by cell division and commitment rates as well as by population sizes, while feedback components guarantee the restoration of steady-state conditions. In this study, all parameters governing these processes were estimated in a computational model to describe the haematopoietic hierarchy in adult mice. The model consisted of ordinary differential... (More)
A very high number of different types of blood cells must be generated daily through a process called haematopoiesis in order to meet the physiological requirements of the organism. All blood cells originate from a population of relatively few haematopoietic stem cells residing in the bone marrow, which give rise to specific progenitors through different lineages. Steady-state dynamics are governed by cell division and commitment rates as well as by population sizes, while feedback components guarantee the restoration of steady-state conditions. In this study, all parameters governing these processes were estimated in a computational model to describe the haematopoietic hierarchy in adult mice. The model consisted of ordinary differential equations and included negative feedback regulation. A combination of literature data, a novel divide et impera approach for steady-state calculations and stochastic optimization allowed one to reduce possible configurations of the system. The model was able to recapitulate the fundamental steady-state features of haematopoiesis and simulate the re-establishment of steady-state conditions after haemorrhage and bone marrow transplantation. This computational approach to the haematopoietic system is novel and provides insight into the dynamics and the nature of possible solutions, with potential applications in both fundamental and clinical research. (Less)
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; ; and
organization
publishing date
type
Contribution to journal
publication status
published
subject
in
Journal of the Royal Society Interface
volume
10
issue
80
article number
20120817
publisher
The Royal Society of Canada
external identifiers
  • wos:000314285400009
  • pmid:23256190
  • scopus:84873619402
  • pmid:23256190
ISSN
1742-5662
DOI
10.1098/rsif.2012.0817
language
English
LU publication?
yes
additional info
The information about affiliations in this record was updated in December 2015. The record was previously connected to the following departments: Stem Cell Center (013022011), Division of Molecular Hematology (DMH) (013017011), Computational biology and biological physics (000006113)
id
afd42e6e-a6e8-4b34-a64c-975cf89bd519 (old id 3347035)
alternative location
http://www.ncbi.nlm.nih.gov/pubmed/23256190?dopt=Abstract
date added to LUP
2016-04-04 08:12:29
date last changed
2022-12-13 02:29:29
@article{afd42e6e-a6e8-4b34-a64c-975cf89bd519,
  abstract     = {{A very high number of different types of blood cells must be generated daily through a process called haematopoiesis in order to meet the physiological requirements of the organism. All blood cells originate from a population of relatively few haematopoietic stem cells residing in the bone marrow, which give rise to specific progenitors through different lineages. Steady-state dynamics are governed by cell division and commitment rates as well as by population sizes, while feedback components guarantee the restoration of steady-state conditions. In this study, all parameters governing these processes were estimated in a computational model to describe the haematopoietic hierarchy in adult mice. The model consisted of ordinary differential equations and included negative feedback regulation. A combination of literature data, a novel divide et impera approach for steady-state calculations and stochastic optimization allowed one to reduce possible configurations of the system. The model was able to recapitulate the fundamental steady-state features of haematopoiesis and simulate the re-establishment of steady-state conditions after haemorrhage and bone marrow transplantation. This computational approach to the haematopoietic system is novel and provides insight into the dynamics and the nature of possible solutions, with potential applications in both fundamental and clinical research.}},
  author       = {{Manesso, Erica and Teles, José and Bryder, David and Peterson, Carsten}},
  issn         = {{1742-5662}},
  language     = {{eng}},
  number       = {{80}},
  publisher    = {{The Royal Society of Canada}},
  series       = {{Journal of the Royal Society Interface}},
  title        = {{Dynamical modelling of haematopoiesis: an integrated view over the system in homeostasis and under perturbation.}},
  url          = {{http://dx.doi.org/10.1098/rsif.2012.0817}},
  doi          = {{10.1098/rsif.2012.0817}},
  volume       = {{10}},
  year         = {{2013}},
}