Literature DB >> 23066073

A dynamical-systems view of stem cell biology.

Chikara Furusawa1, Kunihiko Kaneko.   

Abstract

During development, cells undergo a unidirectional course of differentiation that progressively decreases the number of cell types they can potentially become. Stem cells, however, keep their potential to both proliferate and differentiate. A very important issue then is to understand the characteristics that distinguish stem cells from other cell types and allow them to conduct stable proliferation and differentiation. Here, we review relevant dynamical-systems approaches to describe the state transition between stem and differentiated cells, with an emphasis on fluctuating and oscillatory gene expression levels, as these represent the specific properties of stem cells. Relevance between recent experimental results and dynamical-systems descriptions of stem cell differentiation is also discussed.

Mesh:

Year:  2012        PMID: 23066073     DOI: 10.1126/science.1224311

Source DB:  PubMed          Journal:  Science        ISSN: 0036-8075            Impact factor:   47.728


  59 in total

1.  The Human Brain Traverses a Common Activation-Pattern State Space Across Task and Rest.

Authors:  Richard H Chen; Takuya Ito; Kaustubh R Kulkarni; Michael W Cole
Journal:  Brain Connect       Date:  2018-08-27

2.  Correlated spatio-temporal fluctuations in chromatin compaction states characterize stem cells.

Authors:  Shefali Talwar; Abhishek Kumar; Madan Rao; Gautam I Menon; G V Shivashankar
Journal:  Biophys J       Date:  2013-02-05       Impact factor: 4.033

3.  Large-scale mapping of mammalian transcriptomes identifies conserved genes associated with different cell states.

Authors:  Yang Yang; Yu-Cheng T Yang; Jiapei Yuan; Zhi John Lu; Jingyi Jessica Li
Journal:  Nucleic Acids Res       Date:  2017-02-28       Impact factor: 16.971

4.  Mathematical approaches to modeling development and reprogramming.

Authors:  Rob Morris; Ignacio Sancho-Martinez; Tatyana O Sharpee; Juan Carlos Izpisua Belmonte
Journal:  Proc Natl Acad Sci U S A       Date:  2014-03-20       Impact factor: 11.205

Review 5.  Bioattractors: dynamical systems theory and the evolution of regulatory processes.

Authors:  Johannes Jaeger; Nick Monk
Journal:  J Physiol       Date:  2014-06-01       Impact factor: 5.182

6.  Multi-stability in cellular differentiation enabled by a network of three mutually repressing master regulators.

Authors:  Atchuta Srinivas Duddu; Sarthak Sahoo; Souvadra Hati; Siddharth Jhunjhunwala; Mohit Kumar Jolly
Journal:  J R Soc Interface       Date:  2020-09-30       Impact factor: 4.118

7.  Reprogramming cooperative monotone dynamical systems.

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

Review 8.  Criticality in cell differentiation.

Authors:  Indrani Bose; Mainak Pal
Journal:  J Biosci       Date:  2017-12       Impact factor: 1.826

9.  Pluripotency gene network dynamics: System views from parametric analysis.

Authors:  Ilya R Akberdin; Nadezda A Omelyanchuk; Stanislav I Fadeev; Natalya E Leskova; Evgeniya A Oschepkova; Fedor V Kazantsev; Yury G Matushkin; Dmitry A Afonnikov; Nikolay A Kolchanov
Journal:  PLoS One       Date:  2018-03-29       Impact factor: 3.240

10.  EpiAlign: an alignment-based bioinformatic tool for comparing chromatin state sequences.

Authors:  Xinzhou Ge; Haowen Zhang; Lingjue Xie; Wei Vivian Li; Soo Bin Kwon; Jingyi Jessica Li
Journal:  Nucleic Acids Res       Date:  2019-07-26       Impact factor: 16.971

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