94 research outputs found
Identification et étude de mécanismes régulant l’expression de MAPK
Les fichiers accompagnant le document sont en format Microsoft Excel 2010.Les modèles classiques de signalisation cellulaire eucaryotes sont généralement organisés en voies linéaires et hiérarchiques, impliquant un ensemble de facteurs restreint. Ces facteurs forment un circuit isolé qui transmet une information externe vers sa destination, d’où une réponse cellulaire sera alors engendrée. Or, ces modèles sont justement le fruit d’approches expérimentales réductionnistes qui ne permettent pas d’intégrer aisément la contribution de facteurs multiples, ni de faire une évaluation quantitative de l’apport des composantes du système. Le développement de techniques d’investigation plus holistiques, telles la génomique fonctionnelle et la protéomique, permettent d’examiner de manière systématique et quantitative l’apport d’ensembles larges de facteurs et de les mettre en relation avec d’autres systèmes cellulaires. Il y aurait donc lieu de réévaluer le modèle de voie de signalisation linéaire au profit d’un modèle de réseau de signalisation multiparamétrique, comportant plusieurs branches d’entrée et sortie de signal interagissant avec d’autres systèmes cellulaires.
Cet ouvrage porte sur la voie RAS/MAPK, l’un des principaux axes de signalisation associé à la prolifération et la différenciation cellulaires. Le sujet y est d’abord abordé sous l’angle d’une perspective historique, en mettant l’emphase sur les contributions des études de génétique classique chez les organismes modèles D. melanogaster et C. elegans. Il fait ensuite état du développement du criblage par ARNi pan-génomique dans ces deux modèles en le comparant aux approches de criblage génétique classique. Le corps de l’ouvrage décrit ensuite les résultats expérimentaux d’une campagne de criblage par ARNi visant à dresser une carte globale des régulateurs de la voie chez la drosophile.
Trois groupes de régulateurs identifiés dans ce crible ont été caractérisés de manière plus détaillée. Dans un premier article, nous démontrons que les composantes du complexe EJC ont un impact sur l’épissage de mapk; une découverte doublement intéressante puisque l’EJC était jusqu’alors associé qu’à la régulation post-épissage des ARNm. Une seconde publication fait état de l’ensemble des résultats du crible ARNi, mettant l’emphase sur un ensemble de facteurs d’épissage qui modulent également mapk. Nous y montrons que l’impact de ces facteurs sur l’épissage alternatif est différent de celui de l’EJC, suggérant ainsi deux modes de régulation distincts. Finalement, dans un troisième manuscrit, nous nous attardons au rôle d’Usp47, une déubiquitinase qui, contrairement aux autres facteurs identifiés dans le crible, régule l’expression de MAPK de manière post-traductionnelle. Nous y détaillons une stratégie de criblage d’interaction génétique par ARNi visant à identifier des facteurs reliés fonctionnellement à Usp47. Ce second crible a permis l’identification de trois facteurs reliés au « N-end rule », un mécanisme de dégradation des protéines caractérisé par la reconnaissance des résidus N-terminaux de protéines ou peptides.
Il existait jusqu’alors très peu de données quant à la régulation de l’expression des composantes de la voie MAPK, ce qui rend la description d’un large réseau de régulateurs agissant sur l’expression de MAPK d’autant plus insoupçonnée. L’absence d’un réseau équivalent rattaché aux autres composantes de la voie laisse supposer que MAPK serait un noeud servant de point d’entrée à ce type de régulation dans le système RAS/MAPK. De plus, nos travaux témoignent de la capacité de la génomique fonctionnelle à mettre en relation différents systèmes cellulaires de manière plus globale et à quantifier les liens établis entre eux.The classical model of eukaryotic cellular signalling generally involves hierarchically organized linear pathways involving a restricted set of elements. These generally function together as an insulated circuit, transmitting information from the outside to the intracellular compartment involved in eliciting a response. These models, often the fruit of reductionist experimental approaches, do not allow for the integration of multiple inputs nor for a gradation of responses. The recent emergence of more holistic investigation techniques has brought about the re-evaluation of these classical models in favor of multiparametric signalling networks.
This thesis focuses on the RAS/MAPK pathway, one of the cell’s main proliferation and differentiation signalling conduits, beginning with a historical perspective covering the contributions of model organism genetics to the current pathway model. This provides context for the description of a whole-genome RNAi screen experiment that we carried out to obtain a global view of regulators in Drosophila. Three groups of factors emerging from this screen were then examined in more detail.
A first article shows that the exon junction complex (EJC) plays a role in mapk alternative splicing, an observation that is unexpected given that this complex was not previously known to act on splicing. A second paper details the genome wide screening campaign and focuses on a large set of splicing factors that also regulate mapk, albeit in a distinct manner than the EJC’s. Finally, a manuscript in a third segment examines Usp47 function and finds it to control MAPK levels post-translationally. An RNAi-based genetic interaction screen is then used to identify factors functionally related to Usp47 capable of counteracting its impact on MAPK levels. Three such factors identified through this technique are linked to the N-end rule protein degradation pathway. Regulation of core pathway component expression is a poorly described process, which makes the identification of a large set of factors regulating MAPK expression all the more unusual. Moreover, the absence of such regulation linked to other pathway components suggests that MAPK may act as a node incorporating inputs of this type into RAS/MAPK signaling dynamics
A comprehensive map of the mTOR signaling network
The mammalian target of rapamycin (mTOR) is a central regulator of cell growth and proliferation. mTOR signaling is frequently dysregulated in oncogenic cells, and thus an attractive target for anticancer therapy. Using CellDesigner, a modeling support software for graphical notation, we present herein a comprehensive map of the mTOR signaling network, which includes 964 species connected by 777 reactions. The map complies with both the systems biology markup language (SBML) and graphical notation (SBGN) for computational analysis and graphical representation, respectively. As captured in the mTOR map, we review and discuss our current understanding of the mTOR signaling network and highlight the impact of mTOR feedback and crosstalk regulations on drug-based cancer therapy. This map is available on the Payao platform, a Web 2.0 based community-wide interactive process for creating more accurate and information-rich databases. Thus, this comprehensive map of the mTOR network will serve as a tool to facilitate systems-level study of up-to-date mTOR network components and signaling events toward the discovery of novel regulatory processes and therapeutic strategies for cancer
Specific Y14 domains mediate its nucleo-cytoplasmic shuttling and association with spliced mRNA
Pre-mRNA splicing deposits multi-protein complexes, termed exon junction complexes (EJCs), on mRNAs near exon-exon junctions. The core of EJC consists of four proteins, eIF4AIII, MLN51, Y14 and Magoh. Y14 is a nuclear protein that can shuttle between the nucleus and the cytoplasm, and binds specifically to Magoh. Here we delineate a Y14 nuclear localization signal that also confers its nuclear export, which we name YNS. We further identified a 12-amino-acid peptide near Y14's carboxyl terminus that is required for its association with spliced mRNAs, as well as for Magoh binding. Furthermore, the Y14 mutants, which are deficient in binding to Magoh, could still be localized to the nucleus, suggesting the existence of both the nuclear import pathway and function for Y14 unaccompanied by Magoh
A critical role of RBM8a in proliferation and differentiation of embryonic neural progenitors
BACKGROUND: Nonsense mediated mRNA decay (NMD) is an RNA surveillance mechanism that controls RNA stability and ensures the speedy degradation of erroneous and unnecessary transcripts. This mechanism depends on several core factors in the exon junction complex (EJC), eIF4A3, RBM8a, Magoh, and BTZ, as well as peripheral factors to distinguish premature stop codons (PTCs) from normal stop codons in transcripts. Recently, emerging evidence has indicated that NMD factors are associated with neurodevelopmental disorders such as autism spectrum disorder (ASD) and intellectual disability (ID). However, the mechanism in which these factors control embryonic brain development is not clear. RESULT: We found that RBM8a is critical for proliferation and differentiation in cortical neural progenitor cells (NPCs). RBM8a is highly expressed in the subventricular zone (SVZ) of the early embryonic cortex, suggesting that RBM8a may play a role in regulating NPCs. RBM8a overexpression stimulates embryonic NPC proliferation and suppresses neuronal differentiation. Conversely, knockdown of RBM8a in the neocortex reduces NPC proliferation and promotes premature neuronal differentiation. Moreover, overexpression of RBM8a suppresses cell cycle exit and keeps cortical NPCs in a proliferative state. To uncover the underlying mechanisms of this phenotype, genome-wide RNAseq was used to identify potential downstream genes of RBM8a in the brain, which have been implicated in autism and neurodevelopmental disorders. Interestingly, autism and schizophrenia risk genes are highly represented in downstream transcripts of RBM8a. In addition, RBM8a regulates multiple alternative splicing genes and NMD targets that are implicated in ASD. Taken together, this data suggests a novel role of RBM8a in the regulation of neurodevelopment. CONCLUSIONS: Our studies provide some insight into causes of mental illnesses and will facilitate the development of new therapeutic strategies for neurodevelopmental illnesses. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s13064-015-0045-7) contains supplementary material, which is available to authorized users
La signalisation RTK/RAS/ERK élargie
Les cellules possèdent des réseaux protéiques permettant de percevoir des stimulus externes et de réagir à ceux-ci. Ces réseaux sont décomposables en voies de signalisation qui transmettent les signaux du microenvironnement à divers effecteurs cellulaires. Les études sur la signalisation par les récepteurs à activité tyrosine kinase (RTK) ont été les premières à décrire le mécanisme par lequel un signal extracellulaire est transmis jusqu’au noyau pour induire une réponse transcriptionnelle. Quoique moins bien connues, les études génétiques utilisant la drosophile ou le nématode ont contribué de manière déterminante à façonner notre compréhension de la signalisation par les RTK. Nous décrivons ici brièvement l’apport de ces organismes à la mise en évidence des nombreuses protéines qui forment ou modulent l’axe de signalisation RTK/RAS/ERK
Reliance of Wolbachia
Wolbachia are gram-negative, obligate, intracellular bacteria carried by a majority of insect species worldwide. Here we use a Wolbachia-infected Drosophila cell line and genome-wide RNA interference (RNAi) screening to identify host factors that influence Wolbachia titer. By screening an RNAi library targeting 15,699 transcribed host genes, we identified 36 candidate genes that dramatically reduced Wolbachia titer and 41 that increased Wolbachia titer. Host gene knockdowns that reduced Wolbachia titer spanned a broad array of biological pathways including genes that influenced mitochondrial function and lipid metabolism. In addition, knockdown of seven genes in the host ubiquitin and proteolysis pathways significantly reduced Wolbachia titer. To test the in vivo relevance of these results, we found that drug and mutant inhibition of proteolysis reduced levels of Wolbachia in the Drosophila oocyte. The presence of Wolbachia in either cell lines or oocytes dramatically alters the distribution and abundance of ubiquitinated proteins. Functional studies revealed that maintenance of Wolbachia titer relies on an intact host Endoplasmic Reticulum (ER)-associated protein degradation pathway (ERAD). Accordingly, electron microscopy studies demonstrated that Wolbachia is intimately associated with the host ER and dramatically alters the morphology of this organelle. Given Wolbachia lack essential amino acid biosynthetic pathways, the reliance of Wolbachia on high rates of host proteolysis via ubiquitination and the ERAD pathways may be a key mechanism for provisioning Wolbachia with amino acids. In addition, the reliance of Wolbachia on the ERAD pathway and disruption of ER morphology suggests a previously unsuspected mechanism for Wolbachia’s potent ability to prevent RNA virus replication
The PP2C Alphabet Is a Negative Regulator of Stress-Activated Protein Kinase Signaling in Drosophila
The Jun N-terminal kinase and p38 pathways, also known as stress-activated protein kinase (SAPK) pathways, are signaling conduits reiteratively used throughout the development and adult life of metazoans where they play central roles in the control of apoptosis, immune function, and environmental stress responses. We recently identified a Drosophila Ser/Thr phosphatase of the PP2C family, named Alphabet (Alph), which acts as a negative regulator of the Ras/ERK pathway. Here we show that Alph also plays an inhibitory role with respect to Drosophila SAPK signaling during development as well as under stress conditions such as oxidative or genotoxic stresses. Epistasis experiments suggest that Alph acts at a step upstream of the MAPKKs Hep and Lic. Consistent with this interpretation, biochemical experiments identify the upstream MAPKKKs Slpr, Tak1, and Wnd as putative substrates. Together with previous findings, this work identifies Alph as a general attenuator of MAPK signaling in Drosophila
The Deubiquitinase USP47 Stabilizes MAPK by Counteracting the Function of the N-end Rule ligase POE/UBR4 in <i>Drosophila</i>
<div><p>RAS-induced MAPK signaling is a central driver of the cell proliferation apparatus. Disruption of this pathway is widely observed in cancer and other pathologies. Consequently, considerable effort has been devoted to understanding the mechanistic aspects of RAS-MAPK signal transmission and regulation. While much information has been garnered on the steps leading up to the activation and inactivation of core pathway components, comparatively little is known on the mechanisms controlling their expression and turnover. We recently identified several factors that dictate <i>Drosophila</i> MAPK levels. Here, we describe the function of one of these, the deubiquitinase (DUB) USP47. We found that USP47 acts post-translationally to counteract a proteasome-mediated event that reduces MAPK half-life and thereby dampens signaling output. Using an RNAi-based genetic interaction screening strategy, we identified UBC6, POE/UBR4, and UFD4, respectively, as E2 and E3 enzymes that oppose USP47 activity. Further characterization of POE-associated factors uncovered KCMF1 as another key component modulating MAPK levels. Together, these results identify a novel protein degradation module that governs MAPK levels. Given the role of UBR4 as an N-recognin ubiquitin ligase, our findings suggest that RAS-MAPK signaling in <i>Drosophila</i> is controlled by the N-end rule pathway and that USP47 counteracts its activity.</p></div
An RNAi screen to identify factors that modify the impact of USP47 on MAPK levels.
<p>(A) The rescue effect of <i>Uba1</i> depletion can be robustly measured in a plate-based quantitative microscopy assay suitable for large-scale screening. <i>Usp47</i> and <i>Uba1</i> co-depletion significantly restored MAPK levels (***: <i>p</i> < 0.001) compared to a <i>Usp47</i> single depletion (**: <i>p</i> < 0.01). <i>Uba1</i> single depletion did not significantly alter MAPK levels compared to <i>GFP</i> dsRNA treated control cells (used for normalization). In this experiment, S2 cells were pre-incubated with either <i>GFP</i> dsRNA (first and third sample) or with <i>Usp47</i> dsRNA (second and fourth sample) for 3 d. The cells were then distributed in 384 well plates containing the indicated dsRNAs and incubated for another 3 d. Following dsRNA treatment, anti-MAPK stained cells were imaged and analyzed by high-content microscopy. (B) Screening strategy for a large-scale RNAi screen focused on ubiquitin-proteasome associated factors. RNAi treatment and MAPK quantification for the ubiquitin-proteasome dsRNA set was performed as in A. Each condition was tested in quadruplicate. (C) Histogram showing the distribution of results from the <i>Usp47</i> RNAi screen. The frequency (number of dsRNAs) is displayed on the <i>y</i>-axis. MAPK levels (<i>x</i>-axis) were normalized to GFP dsRNA treated cells. The <i>Usp47</i> co-depleted cells show a clear shift towards a reduction in MAPK levels. The <i>Uba1</i> dsRNA control stands out from the lot, as it completely counteracts the <i>Usp47</i> dsRNA. (D) Distribution of <i>Usp47</i> genetic interaction scores (Δ<i>m</i>; <i>x</i>-axis) for the candidate dsRNAs (frequency displayed on <i>y</i>-axis) tested in the <i>Usp47</i> RNAi screen. The negative Δ<i>m</i> obtained for Uba1 is consistent with the observed alleviation of the MAPK level reduction. Raw data for (A) can be found in <a href="http://www.plosbiology.org/article/info:doi/10.1371/journal.pbio.1002539#pbio.1002539.s001" target="_blank">S1 Data</a>. Numerical data for (C and D) can be found in <a href="http://www.plosbiology.org/article/info:doi/10.1371/journal.pbio.1002539#pbio.1002539.s012" target="_blank">S1 Table</a>.</p
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