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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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 |
work_keys_str_mv |
AT matteoeosella interplayofmicrornaandepigeneticregulationinthehumanregulatorynetwork AT andreaeriba interplayofmicrornaandepigeneticregulationinthehumanregulatorynetwork AT alessandroetestori interplayofmicrornaandepigeneticregulationinthehumanregulatorynetwork AT davideecora interplayofmicrornaandepigeneticregulationinthehumanregulatorynetwork AT micheleecaselle interplayofmicrornaandepigeneticregulationinthehumanregulatorynetwork |
_version_ |
1725657156494032896 |