Literature DB >> 29596533

Pluripotency gene network dynamics: System views from parametric analysis.

Ilya R Akberdin1,2,3, Nadezda A Omelyanchuk1,2, Stanislav I Fadeev2,4, Natalya E Leskova1,2, Evgeniya A Oschepkova1,2, Fedor V Kazantsev1,2, Yury G Matushkin1,2, Dmitry A Afonnikov1,2, Nikolay A Kolchanov1,2.   

Abstract

Multiple experimental data demonstrated that the core gene network orchestrating self-renewal and differentiation of mouse embryonic stem cells involves activity of Oct4, Sox2 and Nanog genes by means of a number of positive feedback loops among them. However, recent studies indicated that the architecture of the core gene network should also incorporate negative Nanog autoregulation and might not include positive feedbacks from Nanog to Oct4 and Sox2. Thorough parametric analysis of the mathematical model based on this revisited core regulatory circuit identified that there are substantial changes in model dynamics occurred depending on the strength of Oct4 and Sox2 activation and molecular complexity of Nanog autorepression. The analysis showed the existence of four dynamical domains with different numbers of stable and unstable steady states. We hypothesize that these domains can constitute the checkpoints in a developmental progression from naïve to primed pluripotency and vice versa. During this transition, parametric conditions exist, which generate an oscillatory behavior of the system explaining heterogeneity in expression of pluripotent and differentiation factors in serum ESC cultures. Eventually, simulations showed that addition of positive feedbacks from Nanog to Oct4 and Sox2 leads mainly to increase of the parametric space for the naïve ESC state, in which pluripotency factors are strongly expressed while differentiation ones are repressed.

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Year:  2018        PMID: 29596533      PMCID: PMC5875786          DOI: 10.1371/journal.pone.0194464

Source DB:  PubMed          Journal:  PLoS One        ISSN: 1932-6203            Impact factor:   3.240


  82 in total

1.  Identification of Sox-2 regulatory region which is under the control of Oct-3/4-Sox-2 complex.

Authors:  Mizuho Tomioka; Masazumi Nishimoto; Satoru Miyagi; Tomoko Katayanagi; Nobutaka Fukui; Hitoshi Niwa; Masami Muramatsu; Akihiko Okuda
Journal:  Nucleic Acids Res       Date:  2002-07-15       Impact factor: 16.971

2.  Core transcriptional regulatory circuitry in human embryonic stem cells.

Authors:  Laurie A Boyer; Tong Ihn Lee; Megan F Cole; Sarah E Johnstone; Stuart S Levine; Jacob P Zucker; Matthew G Guenther; Roshan M Kumar; Heather L Murray; Richard G Jenner; David K Gifford; Douglas A Melton; Rudolf Jaenisch; Richard A Young
Journal:  Cell       Date:  2005-09-23       Impact factor: 41.582

3.  H3K9 methylation is a barrier during somatic cell reprogramming into iPSCs.

Authors:  Jiekai Chen; He Liu; Jing Liu; Jing Qi; Bei Wei; Jiaqi Yang; Hanquan Liang; You Chen; Jing Chen; Yaran Wu; Lin Guo; Jieying Zhu; Xiangjie Zhao; Tianran Peng; Yixin Zhang; Shen Chen; Xuejia Li; Dongwei Li; Tao Wang; Duanqing Pei
Journal:  Nat Genet       Date:  2012-12-02       Impact factor: 38.330

4.  Zfp281 mediates Nanog autorepression through recruitment of the NuRD complex and inhibits somatic cell reprogramming.

Authors:  Miguel Fidalgo; Francesco Faiola; Carlos-Filipe Pereira; Junjun Ding; Arven Saunders; Julian Gingold; Christoph Schaniel; Ihor R Lemischka; José C R Silva; Jianlong Wang
Journal:  Proc Natl Acad Sci U S A       Date:  2012-09-17       Impact factor: 11.205

5.  Octamer and Sox elements are required for transcriptional cis regulation of Nanog gene expression.

Authors:  Takao Kuroda; Masako Tada; Hiroshi Kubota; Hironobu Kimura; Shin-ya Hatano; Hirofumi Suemori; Norio Nakatsuji; Takashi Tada
Journal:  Mol Cell Biol       Date:  2005-03       Impact factor: 4.272

6.  Identification and characterization of subpopulations in undifferentiated ES cell culture.

Authors:  Yayoi Toyooka; Daisuke Shimosato; Kazuhiro Murakami; Kadue Takahashi; Hitoshi Niwa
Journal:  Development       Date:  2008-03       Impact factor: 6.868

7.  Autocrine FGF feedback can establish distinct states of Nanog expression in pluripotent stem cells: a computational analysis.

Authors:  Dora Lakatos; Emily D Travis; Kelsey E Pierson; Jay L Vivian; Andras Czirok
Journal:  BMC Syst Biol       Date:  2014-09-27

8.  Direct cell reprogramming is a stochastic process amenable to acceleration.

Authors:  Jacob Hanna; Krishanu Saha; Bernardo Pando; Jeroen van Zon; Christopher J Lengner; Menno P Creyghton; Alexander van Oudenaarden; Rudolf Jaenisch
Journal:  Nature       Date:  2009-11-08       Impact factor: 49.962

9.  Nanog-dependent feedback loops regulate murine embryonic stem cell heterogeneity.

Authors:  Ben D MacArthur; Ana Sevilla; Michel Lenz; Franz-Josef Müller; Berhard M Schuldt; Andreas A Schuppert; Sonya J Ridden; Patrick S Stumpf; Miguel Fidalgo; Avi Ma'ayan; Jianlong Wang; Ihor R Lemischka
Journal:  Nat Cell Biol       Date:  2012-10-28       Impact factor: 28.824

10.  Quantifying signaling pathway activation to monitor the quality of induced pluripotent stem cells.

Authors:  Eugene Makarev; Kristen Fortney; Maria Litovchenko; Karl H Braunewell; Alex Zhavoronkov; Anthony Atala
Journal:  Oncotarget       Date:  2015-09-15
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  3 in total

Review 1.  Clinical-pathological correlations of BAV and the attendant thoracic aortopathies. Part 2: Pluridisciplinary perspective on their genetic and molecular origins.

Authors:  Ares Pasipoularides
Journal:  J Mol Cell Cardiol       Date:  2019-06-06       Impact factor: 5.000

2.  Statistical estimates of multiple transcription factors binding in the model plant genomes based on ChIP-seq data.

Authors:  Arthur I Dergilev; Nina G Orlova; Oxana B Dobrovolskaya; Yuriy L Orlov
Journal:  J Integr Bioinform       Date:  2021-12-21

3.  A mathematical modelling framework for the regulation of intra-cellular OCT4 in human pluripotent stem cells.

Authors:  L E Wadkin; S Orozco-Fuentes; I Neganova; M Lako; N G Parker; A Shukurov
Journal:  PLoS One       Date:  2021-08-04       Impact factor: 3.240

  3 in total

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