Jérémy Gruel
University of Cambridge
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Publication
Featured researches published by Jérémy Gruel.
Genes & Development | 2011
Ram Kishor Yadav; Mariano Perales; Jérémy Gruel; Thomas Girke; Henrik Jönsson; G. Venugopala Reddy
WUSCHEL (WUS) is a homeodomain transcription factor produced in cells of the niche/organizing center (OC) of shoot apical meristems. WUS specifies stem cell fate and also restricts its own levels by activating a negative regulator, CLAVATA3 (CLV3), in adjacent cells of the central zone (CZ). Here we show that the WUS protein, after being synthesized in cells of the OC, migrates into the CZ, where it activates CLV3 transcription by binding to its promoter elements. Using a computational model, we show that maintenance of the WUS gradient is essential to regulate stem cell number. Migration of a stem cell-inducing transcription factor into adjacent cells to activate a negative regulator, thereby restricting its own accumulation, is a theme that is unique to plant stem cell niches.
Molecular Systems Biology | 2014
Ram Kishor Yadav; Mariano Perales; Jérémy Gruel; Carolyn Ohno; Marcus G. Heisler; Thomas Girke; Henrik Jönsson; G. Venugopala Reddy
In animal systems, master regulatory transcription factors (TFs) mediate stem cell maintenance through a direct transcriptional repression of differentiation promoting TFs. Whether similar mechanisms operate in plants is not known. In plants, shoot apical meristems serve as reservoirs of stem cells that provide cells for all above ground organs. WUSCHEL, a homeodomain TF produced in cells of the niche, migrates into adjacent cells where it specifies stem cells. Through high‐resolution genomic analysis, we show that WUSCHEL represses a large number of genes that are expressed in differentiating cells including a group of differentiation promoting TFs involved in leaf development. We show that WUS directly binds to the regulatory regions of differentiation promoting TFs; KANADI1, KANADI2, ASYMMETRICLEAVES2 and YABBY3 to repress their expression. Predictions from a computational model, supported by live imaging, reveal that WUS‐mediated repression prevents premature differentiation of stem cell progenitors, being part of a minimal regulatory network for meristem maintenance. Our work shows that direct transcriptional repression of differentiation promoting TFs is an evolutionarily conserved logic for stem cell regulation.
Nature Genetics | 2016
Byoung Il Je; Jérémy Gruel; Young Koung Lee; Peter Bommert; Edgar Demesa Arevalo; Andrea L. Eveland; Qingyu Wu; Alexander Goldshmidt; Robert B. Meeley; Madelaine E. Bartlett; Mai Komatsu; Hajime Sakai; Henrik Jönsson; David Jackson
Shoot apical meristems are stem cell niches that balance proliferation with the incorporation of daughter cells into organ primordia. This balance is maintained by CLAVATA–WUSCHEL feedback signaling between the stem cells at the tip of the meristem and the underlying organizing center. Signals that provide feedback from organ primordia to control the stem cell niche in plants have also been hypothesized, but their identities are unknown. Here we report FASCIATED EAR3 (FEA3), a leucine-rich-repeat receptor that functions in stem cell control and responds to a CLAVATA3/ESR-related (CLE) peptide expressed in organ primordia. We modeled our results to propose a regulatory system that transmits signals from differentiating cells in organ primordia back to the stem cell niche and that appears to function broadly in the plant kingdom. Furthermore, we demonstrate an application of this new signaling feedback, by showing that weak alleles of fea3 enhance hybrid maize yield traits.
Science Advances | 2016
Jérémy Gruel; Benoit Landrein; Paul T. Tarr; Christoph Schuster; Yassin Refahi; Arun Sampathkumar; Olivier Hamant; Elliot M. Meyerowitz; Henrik Jönsson
An epidermis control of plant shoot stem cells can explain the scaling and position of the niche expression domains. How molecular patterning scales to organ size is highly debated in developmental biology. We explore this question for the characteristic gene expression domains of the plant stem cell niche residing in the shoot apical meristem. We show that a combination of signals originating from the epidermal cell layer can correctly pattern the key gene expression domains and notably leads to adaptive scaling of these domains to the size of the tissue. Using live imaging, we experimentally confirm this prediction. The identified mechanism is also sufficient to explain de novo stem cell niches in emerging flowers. Our findings suggest that the deformation of the tissue transposes meristem geometry into an instructive scaling and positional input for the apical plant stem cell niche.
Current Opinion in Plant Biology | 2012
Henrik Jönsson; Jérémy Gruel; Pawel Krupinski; Carl Troein
Recent advances in experimental plant biology have led to an increased potential to investigate plant development at a systems level. The emerging research field of Computational Morphodynamics has the aim to lead this development by combining dynamic spatial experimental data with computational models of molecular networks, growth, and mechanics in a multicellular context. The increased number of published models may lead to a diversification of our understanding of the systems, and methods for evaluating, comparing, and sharing models are main challenges for the future. We will discuss this problem using ideas originating from physics and use recent computational models of plant development as examples.
BMC Research Notes | 2009
Jérémy Gruel; Michel LeBorgne; Nolwenn LeMeur; Nathalie Théret
BackgroundThe transforming growth factor beta is known to have pleiotropic effects, including differentiation, proliferation and apoptosis. However the underlying mechanisms remain poorly understood. The regulation and effect of TGF-β signaling is complex and highly depends on specific protein context. In liver, we have recently showed that the disintegrin and metalloproteinase ADAM12 interacts with TGF-β receptors and modulates their trafficking among membranes, a crucial point in TGF-β signaling and development of fibrosis. The present study aims to better understand how ADAM12 impacts on TGF-β receptors trafficking and TGF-β signaling.FindingsWe extracted qualitative biological observations from experimental data and defined a family of models producing a behavior compatible with the presence of ADAM12. We computationally explored the properties of this family of models which allowed us to make novel predictions. We predict that ADAM12 increases TGF-β receptors internalization rate between the cell surface and the endosomal membrane. It also appears that ADAM12 modifies TGF-β signaling shape favoring a permanent response by removing the transient component observed under physiological conditions.ConclusionIn this work, confronting differential models with qualitative biological observations, we obtained predictions giving new insights into the role of ADAM12 in TGF-β signaling and hepatic fibrosis process.
computational intelligence methods for bioinformatics and biostatistics | 2009
Carito Guziolowski; Jérémy Gruel; Ovidiu Radulescu; Anne Siegel
The analysis of large-scale regulatory models using data issued from genome-scale high-throughput experimental techniques is an actual challenge in the systems biology field. This kind of analysis faces three common problems: the size of the model, the uncertainty in the expression datasets, and the heterogeneity of the data. On that account, we propose a method that analyses large-scale networks with small --- but reliable --- expression datasets. Our method relates regulatory knowledge with heterogeneous expression datasets using a simple consistency rule . If a global consistency is found, we predict the changes in gene expression or protein activity of some components of the network. When the whole model is inconsistent, we highlight regions in the network where the regulatory knowledge is incomplete. Confronting our predictions with mRNA expression experiments allows us to determine the missing post-transcriptional interactions of our model. We tested this approach with the transcriptional network of E. coli .
bioRxiv | 2017
Jérémy Gruel; Julia Deichmann; Benoit Landrein; Thomas Hitchcock; Henrik Jönsson
The plant shoot apical meristem holds a stem cell niche from which all aerial organs originate. Using a computational approach we show that a mixture of monomers and heterodimers of the transcription factors WUSCHEL and HAIRY MERISTEM is sufficient to pattern the stem cell niche, and predict that immobile heterodimers form a regulatory ‘pocket’ surrounding the stem cells. The model achieves to reproduce an array of perturbations, including mutants and tissue size modifications. We also show its ability to reproduce the recently observed dynamical shift of the stem cell niche during the development of an axillary meristem. The work integrates recent experimental results to answer the longstanding question of how the asymmetry of expression between the stem cell marker CLAVATA3 and its activator WUSCHEL is achieved, and recent findings of plasticity in the system.
BMC Bioinformatics | 2011
Jérémy Gruel; Michel LeBorgne; Nolwenn LeMeur; Nathalie Théret
BackgroundRegulation of gene expression plays a pivotal role in cellular functions. However, understanding the dynamics of transcription remains a challenging task. A host of computational approaches have been developed to identify regulatory motifs, mainly based on the recognition of DNA sequences for transcription factor binding sites. Recent integration of additional data from genomic analyses or phylogenetic footprinting has significantly improved these methods.ResultsHere, we propose a different approach based on the compilation of Simple Shared Motifs (SSM), groups of sequences defined by their length and similarity and present in conserved sequences of gene promoters. We developed an original algorithm to search and count SSM in pairs of genes. An exceptional number of SSM is considered as a common regulatory pattern. The SSM approach is applied to a sample set of genes and validated using functional gene-set enrichment analyses. We demonstrate that the SSM approach selects genes that are over-represented in specific biological categories (Ontology and Pathways) and are enriched in co-expressed genes. Finally we show that genes co-expressed in the same tissue or involved in the same biological pathway have increased SSM values.ConclusionsUsing unbiased clustering of genes, Simple Shared Motifs analysis constitutes an original contribution to provide a clearer definition of expression networks.
npj Systems Biology and Applications | 2018
Jérémy Gruel; Julia Deichmann; Benoit Landrein; Thomas Hitchcock; Henrik Jönsson
The plant shoot apical meristem holds a stem cell niche from which all aerial organs originate. Using a computational approach we show that a mixture of monomers and heterodimers of the transcription factors WUSCHEL and HAIRY MERISTEM is sufficient to pattern the stem cell niche, and predict that immobile heterodimers form a regulatory “pocket” surrounding the stem cells. The model achieves to reproduce an array of perturbations, including mutants and tissue size modifications. We also show its ability to reproduce the recently observed dynamical shift of the stem cell niche during the development of an axillary meristem. The work integrates recent experimental results to answer the longstanding question of how the asymmetry of expression between the stem cell marker CLAVATA3 and its activator WUSCHEL is achieved, and recent findings of plasticity in the system.A pocket of transcription factors encloses stem cell niches in plantsAerial stem cell niches in plants are found in meristems, which are typically small organs located at the tip of shoots. The size and location of those niches are regulated by a combination of transcription factors and hormones that have been shown to diffuse in the meristematic tissue. Using a computational approach, a group of European scientists led by Jérémy Gruel of University of Cambridge explored multiple scenarios able to capture the behaviour of various mutants and perturbations of the stem cell niches. Their work predicts that diffusive transcription factors can dimerise into immobile complexes, and form static pockets in the tissue within which the stem cells can be maintained.