Literature DB >> 29038942

Fitting structure to function in gene regulatory networks.

Ellen V Rothenberg1.   

Abstract

Cascades of transcriptional regulation are the common source of the forward drive in all developmental systems. Increases in complexity and specificity of gene expression at successive stages are based on the collaboration of varied combinations of transcription factors already expressed in the cells to turn on new genes, and the logical relationships between the transcription factors acting and becoming newly expressed from stage to stage are best visualized as gene regulatory networks. However, gene regulatory networks used in different developmental contexts underlie processes that actually operate through different sets of rules, which affect the kinetics, synchronicity, and logical properties of individual network nodes. Contrasting early embryonic development in flies and sea urchins with adult mammalian hematopoietic development from stem cells, major differences are seen in transcription factor dosage dependence, the silencing or damping impacts of repression, and the impact of cellular regulatory history on the parts of the genome that are accessible to transcription factor action in a given cell type. These different features not only affect the kinds of models that can illuminate developmental mechanisms in the respective biological systems, but also reflect the evolutionary needs of these biological systems to optimize different aspects of development.

Entities:  

Keywords:  Boolean modeling; Chromatin accessibility; Developmental plasticity; Network topology; T lymphocyte development; Transcriptional regulation

Mesh:

Substances:

Year:  2017        PMID: 29038942      PMCID: PMC5660880          DOI: 10.1007/s40656-017-0164-z

Source DB:  PubMed          Journal:  Hist Philos Life Sci        ISSN: 0391-9714            Impact factor:   1.205


  76 in total

1.  A regulatory code for neurogenic gene expression in the Drosophila embryo.

Authors:  Michele Markstein; Robert Zinzen; Peter Markstein; Ka-Ping Yee; Albert Erives; Angela Stathopoulos; Michael Levine
Journal:  Development       Date:  2004-05       Impact factor: 6.868

2.  Localized repressors delineate the neurogenic ectoderm in the early Drosophila embryo.

Authors:  Angelike Stathopoulos; Michael Levine
Journal:  Dev Biol       Date:  2005-04-15       Impact factor: 3.582

3.  Dissecting early regulatory relationships in the lamprey neural crest gene network.

Authors:  Natalya Nikitina; Tatjana Sauka-Spengler; Marianne Bronner-Fraser
Journal:  Proc Natl Acad Sci U S A       Date:  2008-12-22       Impact factor: 11.205

4.  Genomic cis-regulatory logic: experimental and computational analysis of a sea urchin gene.

Authors:  C H Yuh; H Bolouri; E H Davidson
Journal:  Science       Date:  1998-03-20       Impact factor: 47.728

5.  Gene regulation for higher cells: a theory.

Authors:  R J Britten; E H Davidson
Journal:  Science       Date:  1969-07-25       Impact factor: 47.728

6.  Direct interaction of hematopoietic transcription factors PU.1 and GATA-1: functional antagonism in erythroid cells.

Authors:  N Rekhtman; F Radparvar; T Evans; A I Skoultchi
Journal:  Genes Dev       Date:  1999-06-01       Impact factor: 11.361

7.  Comprehensive methylome map of lineage commitment from haematopoietic progenitors.

Authors:  Hong Ji; Lauren I R Ehrlich; Jun Seita; Peter Murakami; Akiko Doi; Paul Lindau; Hwajin Lee; Martin J Aryee; Rafael A Irizarry; Kitai Kim; Derrick J Rossi; Matthew A Inlay; Thomas Serwold; Holger Karsunky; Lena Ho; George Q Daley; Irving L Weissman; Andrew P Feinberg
Journal:  Nature       Date:  2010-08-15       Impact factor: 49.962

8.  NuRD mediates activating and repressive functions of GATA-1 and FOG-1 during blood development.

Authors:  Annarita Miccio; Yuhuan Wang; Wei Hong; Gregory D Gregory; Hongxin Wang; Xiang Yu; John K Choi; Suresh Shelat; Wei Tong; Mortimer Poncz; Gerd A Blobel
Journal:  EMBO J       Date:  2009-11-19       Impact factor: 11.598

Review 9.  Mechanisms of Photoreceptor Patterning in Vertebrates and Invertebrates.

Authors:  Kayla Viets; Kiara Eldred; Robert J Johnston
Journal:  Trends Genet       Date:  2016-10       Impact factor: 11.639

10.  An experimentally validated network of nine haematopoietic transcription factors reveals mechanisms of cell state stability.

Authors:  Judith Schütte; Huange Wang; Stella Antoniou; Andrew Jarratt; Nicola K Wilson; Joey Riepsaame; Fernando J Calero-Nieto; Victoria Moignard; Silvia Basilico; Sarah J Kinston; Rebecca L Hannah; Mun Chiang Chan; Sylvia T Nürnberg; Willem H Ouwehand; Nicola Bonzanni; Marella Ftr de Bruijn; Berthold Göttgens
Journal:  Elife       Date:  2016-02-22       Impact factor: 8.140

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  1 in total

1.  From Gregor Mendel to Eric Davidson: Mathematical Models and Basic Principles in Biology.

Authors:  Ute Deichmann
Journal:  J Comput Biol       Date:  2019-05-22       Impact factor: 1.479

  1 in total

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