Literature DB >> 21461760

Mathematical modelling of stem cell differentiation: the PU.1-GATA-1 interaction.

Campbell Duff1, Kate Smith-Miles, Leo Lopes, Tianhai Tian.   

Abstract

The transcription factors PU.1 and GATA-1 are known to be important in the development of blood progenitor cells. Specifically they are thought to regulate the differentiation of progenitor cells into the granulocyte/macrophage lineage and the erythrocyte/megakaryocite lineage. While several mathematical models have been proposed to investigate the interaction between the transcription factors in recent years, there is still debate about the nature of the progenitor state in the dynamical system, and whether the existing models adequately capture new knowledge about the interactions gleaned from experimental data. Further, the models utilise different formalisms to represent the genetic regulation, and it appears that the resulting dynamical system depends upon which formalism is adopted. In this paper we analyse the four existing models, and propose an alternative model which is shown to demonstrate a rich variety of dynamical systems behaviours found across the existing models, including both bistability and tristability required for modelling the undifferentiated progenitors.

Entities:  

Mesh:

Substances:

Year:  2011        PMID: 21461760     DOI: 10.1007/s00285-011-0419-3

Source DB:  PubMed          Journal:  J Math Biol        ISSN: 0303-6812            Impact factor:   2.259


  32 in total

1.  Genetic regulatory networks programming hematopoietic stem cells and erythroid lineage specification.

Authors:  Gemma Swiers; Roger Patient; Matthew Loose
Journal:  Dev Biol       Date:  2006-04-19       Impact factor: 3.582

Review 2.  Stem cell states, fates, and the rules of attraction.

Authors:  Tariq Enver; Martin Pera; Carsten Peterson; Peter W Andrews
Journal:  Cell Stem Cell       Date:  2009-05-08       Impact factor: 24.633

3.  A plausible model for the digital response of p53 to DNA damage.

Authors:  Lan Ma; John Wagner; John Jeremy Rice; Wenwei Hu; Arnold J Levine; Gustavo A Stolovitzky
Journal:  Proc Natl Acad Sci U S A       Date:  2005-09-26       Impact factor: 11.205

4.  The OR control system of bacteriophage lambda. A physical-chemical model for gene regulation.

Authors:  M A Shea; G K Ackers
Journal:  J Mol Biol       Date:  1985-01-20       Impact factor: 5.469

5.  GATA-1 reprograms avian myelomonocytic cell lines into eosinophils, thromboblasts, and erythroblasts.

Authors:  H Kulessa; J Frampton; T Graf
Journal:  Genes Dev       Date:  1995-05-15       Impact factor: 11.361

6.  Potential autoregulation of transcription factor PU.1 by an upstream regulatory element.

Authors:  Yutaka Okuno; Gang Huang; Frank Rosenbauer; Erica K Evans; Hanna S Radomska; Hiromi Iwasaki; Koichi Akashi; Francoise Moreau-Gachelin; Youlin Li; Pu Zhang; Berthold Göttgens; Daniel G Tenen
Journal:  Mol Cell Biol       Date:  2005-04       Impact factor: 4.272

7.  Transcriptome-wide noise controls lineage choice in mammalian progenitor cells.

Authors:  Hannah H Chang; Martin Hemberg; Mauricio Barahona; Donald E Ingber; Sui Huang
Journal:  Nature       Date:  2008-05-22       Impact factor: 49.962

8.  Bistability and switching in the lysis/lysogeny genetic regulatory network of bacteriophage lambda.

Authors:  Tianhai Tian; Kevin Burrage
Journal:  J Theor Biol       Date:  2004-03-21       Impact factor: 2.691

Review 9.  Global genetic regulatory networks controlling hematopoietic cell fates.

Authors:  Matthew Loose; Roger Patient
Journal:  Curr Opin Hematol       Date:  2006-07       Impact factor: 3.284

10.  Computational modeling of the hematopoietic erythroid-myeloid switch reveals insights into cooperativity, priming, and irreversibility.

Authors:  Vijay Chickarmane; Tariq Enver; Carsten Peterson
Journal:  PLoS Comput Biol       Date:  2009-01-23       Impact factor: 4.475

View more
  15 in total

1.  Stability and multiattractor dynamics of a toggle switch based on a two-stage model of stochastic gene expression.

Authors:  Michael Strasser; Fabian J Theis; Carsten Marr
Journal:  Biophys J       Date:  2012-01-03       Impact factor: 4.033

2.  Emodin can induce K562 cells to erythroid differentiation and improve the expression of globin genes.

Authors:  Yan-Ni Ma; Ming-Tai Chen; Zhi-Kui Wu; Hua-Lu Zhao; Hai-Chuan Yu; Jia Yu; Jun-Wu Zhang
Journal:  Mol Cell Biochem       Date:  2013-06-07       Impact factor: 3.396

3.  Reprogramming cooperative monotone dynamical systems.

Authors:  Rushina Shah; Domitilla Del Vecchio
Journal:  Proc IEEE Conf Decis Control       Date:  2019-01-21

4.  Reprogramming multistable monotone systems with application to cell fate control.

Authors:  Rushina Shah; Domitilla Del Vecchio
Journal:  IEEE Trans Netw Sci Eng       Date:  2020-07-09

5.  A stochastic model of epigenetic dynamics in somatic cell reprogramming.

Authors:  Max Flöttmann; Till Scharp; Edda Klipp
Journal:  Front Physiol       Date:  2012-06-27       Impact factor: 4.566

6.  Mathematical modeling of GATA-switching for regulating the differentiation of hematopoietic stem cell.

Authors:  Tianhai Tian; Kate Smith-Miles
Journal:  BMC Syst Biol       Date:  2014-01-24

7.  Stochastic cytokine expression induces mixed T helper cell States.

Authors:  Miaoqing Fang; Huangming Xie; Stephanie K Dougan; Hidde Ploegh; Alexander van Oudenaarden
Journal:  PLoS Biol       Date:  2013-07-30       Impact factor: 8.029

8.  Mapping differentiation under mixed culture conditions reveals a tunable continuum of T cell fates.

Authors:  Yaron E Antebi; Shlomit Reich-Zeliger; Yuval Hart; Avi Mayo; Inbal Eizenberg; Jacob Rimer; Prabhakar Putheti; Dana Pe'er; Nir Friedman
Journal:  PLoS Biol       Date:  2013-07-30       Impact factor: 8.029

9.  Hybrid T-helper cells: stabilizing the moderate center in a polarized system.

Authors:  Sui Huang
Journal:  PLoS Biol       Date:  2013-08-20       Impact factor: 8.029

10.  Population dynamics of normal and leukaemia stem cells in the haematopoietic stem cell niche show distinct regimes where leukaemia will be controlled.

Authors:  Adam L MacLean; Cristina Lo Celso; Michael P H Stumpf
Journal:  J R Soc Interface       Date:  2013-01-24       Impact factor: 4.118

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.