From Endogenous to Synthetic microRNA-Mediated Regulatory Circuits: An Overview

MicroRNAs are short non-coding RNAs that are evolutionarily conserved and are pivotal post-transcriptional mediators of gene regulation. Together with transcription factors and epigenetic regulators, they form a highly interconnected network whose building blocks can be classified depending on the number of molecular species involved and the type of interactions amongst them. Depending on their topology, these molecular circuits may carry out specific functions that years of studies have related to the processing of gene expression noise. In this review, we first present the different over-represented network motifs involving microRNAs and their specific role in implementing relevant biological functions, reviewing both theoretical and experimental studies. We then illustrate the recent advances in synthetic biology, such as the construction of artificially synthesised circuits, which provide a controlled tool to test experimentally the possible microRNA regulatory tasks and constitute a starting point for clinical applications

microRNA input into a neural ultradian oscillator controls emergence and timing of alternative cell states.

© 2014 Macmillan Publishers LimitedThis is an open access article that is freely available in ORE or from the publisher's web site. Please cite the published version.Progenitor maintenance, timed differentiation and the potential to enter quiescence are three fundamental processes that underlie the development of any organ system. In the nervous system, progenitor cells show short-period oscillations in the expression of the transcriptional repressor Hes1, while neurons and quiescent progenitors show stable low and high levels of Hes1, respectively. Here we use experimental data to develop a mathematical model of the double-negative interaction between Hes1 and a microRNA, miR-9, with the aim of understanding how cells transition from one state to another. We show that the input of miR-9 into the Hes1 oscillator tunes its oscillatory dynamics, and endows the system with bistability and the ability to measure time to differentiation. Our results suggest that a relatively simple and widespread network of cross-repressive interactions provides a unifying framework for progenitor maintenance, the timing of differentiation and the emergence of alternative cell states.Wellcome Trus

Dynamical gene regulatory networks are tuned by transcriptional autoregulation with microRNA feedback

From Springer Nature via Jisc Publications RouterHistory: received 2020-03-05, accepted 2020-07-06, registration 2020-07-21, pub-electronic 2020-07-31, online 2020-07-31, collection 2020-12Publication status: PublishedFunder: Wellcome Trust; doi: http://dx.doi.org/10.13039/100004440; Grant(s): 110566/Z/15/Z, 090868/Z/09/ZFunder: Biotechnology and Biological Sciences Research Council; doi: http://dx.doi.org/10.13039/501100000268; Grant(s): BB/M011275/1Abstract: Concepts from dynamical systems theory, including multi-stability, oscillations, robustness and stochasticity, are critical for understanding gene regulation during cell fate decisions, inflammation and stem cell heterogeneity. However, the prevalence of the structures within gene networks that drive these dynamical behaviours, such as autoregulation or feedback by microRNAs, is unknown. We integrate transcription factor binding site (TFBS) and microRNA target data to generate a gene interaction network across 28 human tissues. This network was analysed for motifs capable of driving dynamical gene expression, including oscillations. Identified autoregulatory motifs involve 56% of transcription factors (TFs) studied. TFs that autoregulate have more interactions with microRNAs than non-autoregulatory genes and 89% of autoregulatory TFs were found in dual feedback motifs with a microRNA. Both autoregulatory and dual feedback motifs were enriched in the network. TFs that autoregulate were highly conserved between tissues. Dual feedback motifs with microRNAs were also conserved between tissues, but less so, and TFs regulate different combinations of microRNAs in a tissue-dependent manner. The study of these motifs highlights ever more genes that have complex regulatory dynamics. These data provide a resource for the identification of TFs which regulate the dynamical properties of human gene expression

Bistability and Oscillations in Gene Regulation Mediated by Small Noncoding RNAs

The interplay of small noncoding RNAs (sRNAs), mRNAs, and proteins has been shown to play crucial roles in almost all cellular processes. As key post-transcriptional regulators of gene expression, the mechanisms and roles of sRNAs in various cellular processes still need to be fully understood. When participating in cellular processes, sRNAs mainly mediate mRNA degradation or translational repression. Here, we show how the dynamics of two minimal architectures is drastically affected by these two mechanisms. A comparison is also given to reveal the implication of the fundamental differences. This study may help us to analyze complex networks assembled by simple modules more easily. A better knowledge of the sRNA-mediated motifs is also of interest for bio-engineering and artificial control

Delineating the \u3cem\u3eC. elegans\u3c/em\u3e MicroRNA Regulatory Network: A Dissertation

Metazoan genomes contain thousands of protein-coding and non-coding RNA genes, most of which are differentially expressed, i.e., at different locations, at different times during development, or in response to environmental signals. Differential gene expression is achieved through complex regulatory networks that are controlled in part by two types of trans-regulators: transcription factors (TFs) and microRNAs (miRNAs). TFs bind to cis-regulatory DNA elements that are often located in or near their target genes, while microRNAs hybridize to cis-regulatory RNA elements mostly located in the 3’ untranslated region (3’UTR) of their target mRNAs. My work in the Walhout lab has centered on understanding how these trans-regulators interact with each other in the context of gene regulatory networks to coordinate gene expression at the genome-scale level. Our model organism is the free-living nematode Caenorahbditis elegans, which possess approximately 950 predicted TFs and more than 100 miRNAs Whereas much attention has focused on finding the protein-coding target genes of both miRNAs and TFs, the transcriptional networks that regulate miRNA expression remain largely unexplored. To this end, we have embarked in the task of mapping the first genome-scale miRNA regulatory network. This network contains experimentally mapped transcriptional TF=\u3emiRNA interactions, as well as computationally predicted post-transcriptional miRNA=\u3eTF interactions. The work presented here, along with data reported by other groups, have revealed the existence of reciprocal regulation between these two types of regulators, as well as extensive coordination in the regulation of shared target genes. Our studies have also identified common mechanisms by which miRNAs and TFs function to control gene expression and have suggested an inherent difference in the network properties of both types of regulators. Reverse genetic approaches have been extensively used to delineate the biological function of protein-coding genes. For instance, genome-wide RNAi screens have revealed critical roles for TFs in C. elegans development and physiology. However, reverse genetic approaches have not been very insightful in the case of non-coding genes: A single null mutation does not result in an easily detectable phenotype for most C. elegans miRNA genes. To help delineate the biological function of miRNAs we sought to determine when and where they are expressed. Specifically, we generated a collection of transgenic C. elegans strains, each containing a miRNA promoter::gfp (Pmir::gfp) fusion construct. The particular pattern of expression of each miRNA gene should help to identify potential genetic interactors that exhibit similar expression patterns, and to design experiments to test the phenotypes of miRNA mutants

A MicroRNA Based Genetic Clock

This thesis focuses on the design, construction and stable integration in mammalian cells of a natural microRNA-based genetic oscillator. This will help both in better understanding the rules underlying the periodic expression of genes observed in major biological processes, such as the circadian clock and cell-cycle, as well as, in generating new tools to probe and investigate the function of a gene in a cell, by allowing not only its over-expression or knock-down, but also its cyclic expression. The circuit involves a positive feedback loop, consisting of a transcription factor (TF) activating itself, and a negative feedback loop, using a natural micro RNA controlled by the TF, which induces degradation of the TF itself. The circuit was built in a modular way, and implemented it in two lentiviral vectors able to infect both dividing and non-dividing cells, hence suitable for many different applications. Since obtaining stable oscillations is non-trivial, a modified version of the oscillator was engineered, including an intermediate step between the TF and the microRNA, to increase the delay in the negative feedback loop. The oscillatory behavior was tested via in vivo time-lapse fluorescence microscopy in both versions of the oscillator, since both the TF(s) and the microRNA are expressed together with fluorescent reporters.EThOS - Electronic Theses Online ServiceGBUnited Kingdo

Reprogramming, oscillations and transdifferentiation in epigenetic landscapes

Waddington's epigenetic landscape provides a phenomenological understanding of the cell differentiation pathways from the pluripotent to mature lineage-committed cell lines. In light of recent successes in the reverse programming process there has been significant interest in quantifying the underlying landscape picture through the mathematics of gene regulatory networks. We investigate the role of time delays arising from multi-step chemical reactions and epigenetic rearrangement on the cell differentiation landscape for a realistic two-gene regulatory network, consisting of self-promoting and mutually inhibiting genes. Our work provides the first theoretical basis of the transdifferentiation process in the presence of delays, where one differentiated cell type can transition to another directly without passing through the undifferentiated state. Additionally, the interplay of time-delayed feedback and a time dependent chemical drive leads to long-lived oscillatory states in appropriate parameter regimes. This work emphasizes the important role played by time-delayed feedback loops in gene regulatory circuits and provides a framework for the characterization of epigenetic landscapes