Interplay of microRNA and epigenetic regulation in the human regulatory network.

The expression of protein-coding genes is controlled by a complex networkof regulatory interactions. It is becoming increasingly appreciated that post-transcriptional repression by microRNAs, a class of small non-coding RNAs, is a key layer of regulation in several biological processes.In this contr...

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Main Authors: Matteo eOsella, Andrea eRiba, Alessandro eTestori, Davide eCorà, Michele eCaselle
Format: Article
Language:English
Published: Frontiers Media S.A. 2014-10-01
Series:Frontiers in Genetics
Subjects:
Online Access:http://journal.frontiersin.org/Journal/10.3389/fgene.2014.00345/full
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spelling doaj-9b27ac2262a24103a5aa728367691ba72020-11-24T22:55:16ZengFrontiers Media S.A.Frontiers in Genetics1664-80212014-10-01510.3389/fgene.2014.00345108820Interplay of microRNA and epigenetic regulation in the human regulatory network.Matteo eOsella0Andrea eRiba1Alessandro eTestori2Davide eCorà3Michele eCaselle4Università di TorinoUniversità di TorinoUniversità di TorinoUniversity of TorinoUniversità di TorinoThe expression of protein-coding genes is controlled by a complex networkof regulatory interactions. It is becoming increasingly appreciated that post-transcriptional repression by microRNAs, a class of small non-coding RNAs, is a key layer of regulation in several biological processes.In this contribution, we discuss the interplay between microRNAs and epigeneticregulators.Among the mixed genetic circuits composed by these two different kinds of regulation, it seems that a central role is played bydouble-negative feedback loops in which a microRNA inhibits an epigeneticregulator and in turn is controlled at the epigenetic level by the sameregulator.We discuss a few relevant properties of this class of network motifs and theirpotential role in cell differentiation. In particular, using mathematical modeling we show how this particular circuit can exhibit a switch-like behaviour between two alternative steady states, while being robust to stochastic transitions between these two states, a feature presumably required for circuits involved in cell fate decision. Finally, we present a list of putative double-negative feedback loops from a literature survey combined with bioinformatic analysis, and discuss in detail few examples.http://journal.frontiersin.org/Journal/10.3389/fgene.2014.00345/fullmiRNAsEpigenetic regulationStochastic Modelingfeedback loopsnetwork motifs
collection DOAJ
language English
format Article
sources DOAJ
author Matteo eOsella
Andrea eRiba
Alessandro eTestori
Davide eCorà
Michele eCaselle
spellingShingle Matteo eOsella
Andrea eRiba
Alessandro eTestori
Davide eCorà
Michele eCaselle
Interplay of microRNA and epigenetic regulation in the human regulatory network.
Frontiers in Genetics
miRNAs
Epigenetic regulation
Stochastic Modeling
feedback loops
network motifs
author_facet Matteo eOsella
Andrea eRiba
Alessandro eTestori
Davide eCorà
Michele eCaselle
author_sort Matteo eOsella
title Interplay of microRNA and epigenetic regulation in the human regulatory network.
title_short Interplay of microRNA and epigenetic regulation in the human regulatory network.
title_full Interplay of microRNA and epigenetic regulation in the human regulatory network.
title_fullStr Interplay of microRNA and epigenetic regulation in the human regulatory network.
title_full_unstemmed Interplay of microRNA and epigenetic regulation in the human regulatory network.
title_sort interplay of microrna and epigenetic regulation in the human regulatory network.
publisher Frontiers Media S.A.
series Frontiers in Genetics
issn 1664-8021
publishDate 2014-10-01
description The expression of protein-coding genes is controlled by a complex networkof regulatory interactions. It is becoming increasingly appreciated that post-transcriptional repression by microRNAs, a class of small non-coding RNAs, is a key layer of regulation in several biological processes.In this contribution, we discuss the interplay between microRNAs and epigeneticregulators.Among the mixed genetic circuits composed by these two different kinds of regulation, it seems that a central role is played bydouble-negative feedback loops in which a microRNA inhibits an epigeneticregulator and in turn is controlled at the epigenetic level by the sameregulator.We discuss a few relevant properties of this class of network motifs and theirpotential role in cell differentiation. In particular, using mathematical modeling we show how this particular circuit can exhibit a switch-like behaviour between two alternative steady states, while being robust to stochastic transitions between these two states, a feature presumably required for circuits involved in cell fate decision. Finally, we present a list of putative double-negative feedback loops from a literature survey combined with bioinformatic analysis, and discuss in detail few examples.
topic miRNAs
Epigenetic regulation
Stochastic Modeling
feedback loops
network motifs
url http://journal.frontiersin.org/Journal/10.3389/fgene.2014.00345/full
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