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- W123017984 endingPage "114" @default.
- W123017984 startingPage "63" @default.
- W123017984 abstract "MicroRNAs have been discovered in the noncoding nuclear genome. They inhibit partly in a nonspecific manner the transcription of numerous genes, and the corresponding “inhibitory noise” prevents the weakest positive interactions of the genetic regulatory networks to be actually efficient, hence microRNAs control the number of attractors of these networks, e.g., by frequently forcing them to have only one or two possible behaviors for fulfilling a precise cell function (if we identify a network attractor with a precise differentiated cell state). More specifically, microRNAs have a great influence on the chromatin clock, which ensures the controlled mode of updating genetic regulatory networks. We analyze this influence as well as their impact on important functions like controlling the cell cycle, improving the defenses of a host against pathogens like viruses, and maintaining the homeostasis of energy metabolism. In the last case, we show the role of two types of microRNAs, both involved in the control of the mitochondrial genome: (1) nuclear microRNAs, called mitoMirs, inhibiting mitochondrial genes and (2) putative mitochondrial microRNAs located in the noncoding part of the mitochondrial genome that inhibit tRNAs function. We show the complex involvement of microRNAs in the ubiquitous p53 regulatory function of cell cycle control, then their global role in cell respiration homeostasis, in carcinogenesis, and finally we discuss the influence of microRNAs on the increase of robustness of genetic networks during evolution." @default.
- W123017984 created "2016-06-24" @default.
- W123017984 creator A5040800580 @default.
- W123017984 creator A5060148632 @default.
- W123017984 creator A5080944823 @default.
- W123017984 date "2013-08-05" @default.
- W123017984 modified "2023-10-01" @default.
- W123017984 title "MicroRNAs and Robustness in Biological Regulatory Networks. A Generic Approach with Applications at Different Levels: Physiologic, Metabolic, and Genetic" @default.
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