scholarly journals Gene network dynamics controlling keratinocyte migration

2008 ◽  
Vol 4 (1) ◽  
pp. 199 ◽  
Author(s):  
Hauke Busch ◽  
David Camacho‐Trullio ◽  
Zbigniew Rogon ◽  
Kai Breuhahn ◽  
Peter Angel ◽  
...  
Keyword(s):  
Gene Network ◽  
Network Dynamics ◽  
Keratinocyte Migration

scholarly journals Microfluidic devices for measuring gene network dynamics in single cells

2009 ◽  
Vol 10 (9) ◽  
pp. 628-638 ◽  
Author(s):  
Matthew R. Bennett ◽  
Jeff Hasty
Keyword(s):  
Gene Network ◽  
Single Cells ◽  
Network Dynamics ◽  
Microfluidic Devices

scholarly journals Pluripotency gene network dynamics: System views from parametric analysis

PLoS ONE ◽  
2018 ◽  
Vol 13 (3) ◽  
pp. e0194464 ◽  
Author(s):  
Ilya R. Akberdin ◽  
Nadezda A. Omelyanchuk ◽  
Stanislav I. Fadeev ◽  
Natalya E. Leskova ◽  
Evgeniya A. Oschepkova ◽  
...  
Keyword(s):  
Parametric Analysis ◽  
Gene Network ◽  
Network Dynamics ◽  
Pluripotency Gene

Gene network dynamics and the evolution of development

2000 ◽  
Vol 15 (12) ◽  
pp. 479-480 ◽  
Author(s):  
Ricard V. Solé ◽  
Isaac Salazar-Ciudad ◽  
Stuart A. Newman
Keyword(s):  
Gene Network ◽  
Network Dynamics ◽  
Evolution Of Development

scholarly journals Backward evolution from gene network dynamics

2018 ◽  
Author(s):  
Merzu Kebede Belete ◽  
Daniel A. Charlebois ◽  
Gábor Balázsi
Keyword(s):  
Population Dynamics ◽  
Gene Regulatory Network ◽  
Gene Regulatory Networks ◽  
Regulatory Network ◽  
Gene Network ◽  
Regulatory Networks ◽  
Network Dynamics ◽  
Regulator Gene ◽  
Gene Regulatory ◽  
Population Fitness

AbstractGene expression is controlled by regulator genes that together with effector genes form gene regulatory networks. How mutation in the genes comprising gene regulatory networks influences cell population dynamics has not been adequately investigated. In this study, we develop mathematical models to study how a mutation in a regulator gene that reaches the effector gene with a time delay affects short-term and long-term population growth. Using theory and experiment, we find a paradoxical outcome of evolution where a mutation in a regulator gene leads to an interaction between gene regulatory network and population dynamics, causing in certain cases a permanent decrease in population fitness in a constant environment.Significance StatementThe properties of a cell are largely the products of its proteins, synthesized at rates depending on the regulation of protein coding genes. Single-cell measurements show that genetically identical cells can differ radically in their protein levels, partially due to the random production and degradation of proteins. It is currently unknown how mutants arise and spread in populations affected by such biological variability. We use computer simulations and evolution experiments to study how a mutant spreads in a population that carries a synthetic drug resistance gene network. Our results show for the first time a paradoxical outcome of evolution, where an initially beneficial mutation can interact with gene regulatory network dynamics and cause a permanent decrease in population fitness in the same environment.

Dissecting the meiotic gene network in female embryonic germ cells

2014 ◽  
Author(s):  
Emilie Abby ◽  
Sophie Tourpin ◽  
Marie-Justine Guerquin ◽  
Bouffant Ronan Le ◽  
Rene Habert ◽  
...  
Keyword(s):  
Germ Cells ◽  
Gene Network ◽  
Embryonic Germ Cells ◽  
Meiotic Gene
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