Matthieu Palayret
University of Cambridge
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Publication
Featured researches published by Matthieu Palayret.
Nature | 2017
Tim J. Stevens; David Lando; Srinjan Basu; Liam P. Atkinson; Yang Cao; Steven F. Lee; Martin Leeb; Kai J. Wohlfahrt; Wayne Boucher; Aoife O’Shaughnessy-Kirwan; Julie Cramard; Andre J. Faure; Meryem Ralser; Enrique Blanco; Lluis Morey; Miriam Sansó; Matthieu Palayret; Ben Lehner; Luciano Di Croce; Anton Wutz; Brian Hendrich; Dave Klenerman; Ernest D. Laue
The folding of genomic DNA from the beads-on-a-string-like structure of nucleosomes into higher-order assemblies is crucially linked to nuclear processes. Here we calculate 3D structures of entire mammalian genomes using data from a new chromosome conformation capture procedure that allows us to first image and then process single cells. The technique enables genome folding to be examined at a scale of less than 100 kb, and chromosome structures to be validated. The structures of individual topological-associated domains and loops vary substantially from cell to cell. By contrast, A and B compartments, lamina-associated domains and active enhancers and promoters are organized in a consistent way on a genome-wide basis in every cell, suggesting that they could drive chromosome and genome folding. By studying genes regulated by pluripotency factor and nucleosome remodelling deacetylase (NuRD), we illustrate how the determination of single-cell genome structure provides a new approach for investigating biological processes.
Sensors and Actuators B-chemical | 2014
Laurence L. Bell; Ashwin A. Seshia; David Lando; Ernest D. Laue; Matthieu Palayret; Steven F. Lee; David Klenerman
We describe a microfluidic device designed specifically for the reversible immobilisation of Schizosaccharomyces pombe (Fission Yeast) cells to facilitate live cell super-resolution microscopy. Photo-Activation Localisation Microscopy (PALM) is used to create detailed super-resolution images within living cells with a modal accuracy of >25 nm in the lateral dimensions. The novel flow design captures and holds cells in a well-defined array with minimal effect on the normal growth kinetics. Cells are held over several hours and can continue to grow and divide within the device during fluorescence imaging.
Journal of Molecular Biology | 2016
Wei Zhang; A Aubert; Jm Gomez de Segura; M Karuppasamy; Srinjan Basu; Andal Murthy; A Diamante; Ta Drury; J Balmer; J Cramard; Aleksandra A. Watson; David Lando; Steven F. Lee; Matthieu Palayret; Susan L Kloet; Arne H. Smits; Michael J. Deery; Michiel Vermeulen; Brian Hendrich; David Klenerman; Christiane Schaffitzel; Imre Berger; Ernest D. Laue
The nucleosome remodeling deacetylase (NuRD) complex is a highly conserved regulator of chromatin structure and transcription. Structural studies have shed light on this and other chromatin modifying machines, but much less is known about how they assemble and whether stable and functional sub-modules exist that retain enzymatic activity. Purification of the endogenous Drosophila NuRD complex shows that it consists of a stable core of subunits, while others, in particular the chromatin remodeler CHD4, associate transiently. To dissect the assembly and activity of NuRD, we systematically produced all possible combinations of different components using the MultiBac system, and determined their activity and biophysical properties. We carried out single-molecule imaging of CHD4 in live mouse embryonic stem cells, in the presence and absence of one of core components (MBD3), to show how the core deacetylase and chromatin-remodeling sub-modules associate in vivo. Our experiments suggest a pathway for the assembly of NuRD via preformed and active sub-modules. These retain enzymatic activity and are present in both the nucleus and the cytosol, an outcome with important implications for understanding NuRD function.
Histochemistry and Cell Biology | 2014
Mathew H. Horrocks; Matthieu Palayret; David Klenerman; Steven F. Lee
Abstract Over the past decade, many techniques for imaging systems at a resolution greater than the diffraction limit have been developed. These methods have allowed systems previously inaccessible to fluorescence microscopy to be studied and biological problems to be solved in the condensed phase. This brief review explains the basic principles of super-resolution imaging in both two and three dimensions, summarizes recent developments, and gives examples of how these techniques have been used to study complex biological systems.
Nucleic Acids Research | 2014
Thomas J. Etheridge; Rémi L. Boulineau; Alex Herbert; Adam T. Watson; Yasukazu Daigaku; Jem Tucker; Sophie George; Peter Jönsson; Matthieu Palayret; David Lando; Ernest D. Laue; Mark A. Osborne; David Klenerman; Steven F. Lee; Antony M. Carr
Development of single-molecule localization microscopy techniques has allowed nanometre scale localization accuracy inside cells, permitting the resolution of ultra-fine cell structure and the elucidation of crucial molecular mechanisms. Application of these methodologies to understanding processes underlying DNA replication and repair has been limited to defined in vitro biochemical analysis and prokaryotic cells. In order to expand these techniques to eukaryotic systems, we have further developed a photo-activated localization microscopy-based method to directly visualize DNA-associated proteins in unfixed eukaryotic cells. We demonstrate that motion blurring of fluorescence due to protein diffusivity can be used to selectively image the DNA-bound population of proteins. We designed and tested a simple methodology and show that it can be used to detect changes in DNA binding of a replicative helicase subunit, Mcm4, and the replication sliding clamp, PCNA, between different stages of the cell cycle and between distinct genetic backgrounds.
Journal of the Royal Society Interface | 2012
Olivier Restif; Yun S. Goh; Matthieu Palayret; Andrew J. Grant; Trevelyan J. McKinley; Mike Clark; Pietro Mastroeni
Antibodies are known to be essential in controlling Salmonella infection, but their exact role remains elusive. We recently developed an in vitro model to investigate the relative efficiency of four different human immunoglobulin G (IgG) subclasses in modulating the interaction of the bacteria with human phagocytes. Our results indicated that different IgG subclasses affect the efficacy of Salmonella uptake by human phagocytes. In this study, we aim to quantify the effects of IgG on intracellular dynamics of infection by combining distributions of bacterial numbers per phagocyte observed by fluorescence microscopy with a mathematical model that simulates the in vitro dynamics. We then use maximum likelihood to estimate the model parameters and compare them across IgG subclasses. The analysis reveals heterogeneity in the division rates of the bacteria, strongly suggesting that a subpopulation of intracellular Salmonella, while visible under the microscope, is not dividing. Clear differences in the observed distributions among the four IgG subclasses are best explained by variations in phagocytosis and intracellular dynamics. We propose and compare potential factors affecting the replication and death of bacteria within phagocytes, and we discuss these results in the light of recent findings on dormancy of Salmonella.
bioRxiv | 2017
Ricardo A. Fernandes; Kristina Anne Ganzinger; Justin Tzou; Peter Jönsson; Steven F. Lee; Matthieu Palayret; Ana Mafalda Santos; Veronica T. Chang; Charlotte Macleod; B. Christoffer Lagerholm; Alan E. Lindsay; Omer Dushek; Andreas Tilevik; Simon J. Davis; David Klenerman
The T-cell receptor (TCR) must discriminate between peptides bound to major histocompatibility complex proteins and yet it can be triggered even without ligands at close contacts characterized by local depletion of the phosphatase, CD45. Here, we use a quantitative treatment of signaling that incorporates moving-boundary passage time calculations and is reliant only upon receptor dwell-time at close contacts to reconcile the contradictory properties of TCR triggering. We validate the model by showing that signaling is inversely related to close contact growth-rate and sensitive to the local balance of kinase and phosphatase activities. The model predicts that the small size of close contacts imposed by cell topography, and their short duration owing to the destabilizing effects of, for example, the glycocalyx, crucially underpins ligand discrimination by T cells without recourse to classical proofreading schemes. Based on simple physical principles, therefore, our model accounts for the main features of TCR triggering.Abstract The T-cell receptor (TCR) triggers the elimination of pathogens and tumors by T lymphocytes. In order for this to avoid damage to the host, the receptor has to discriminate between thousands of peptide ligands presented by each host cell. Exactly how the TCR does this is unknown. In resting T-cells, the TCR is largely unphosphorylated due to the dominance of phosphatases over kinases expressed at the cell surface. When agonist peptides are presented to the TCR by major histocompatibility complex (MHC) proteins expressed by antigen-presenting cells (APCs), very fast receptor triggering occurs, leading to TCR phosphorylation. Recent work suggests that this depends on the local exclusion of the phosphatases from regions of contact of the T cells with the APCs. Here, we develop and test a quantitative treatment of receptor triggering reliant only upon TCR dwell-time in phosphatase-depleted cell-cell contacts constrained in area by cell topography. Using the model and experimentally-derived parameters, we find that ligand discrimination is possible but that it depends crucially on individual contacts being 400 nm in diameter or smaller, i.e. the size generated by microvilli. The model not only correctly predicts the relative signaling potencies of known agonists and non-agonists, but achieves this in the absence of conventional, multi-step kinetic proof-reading. Our work provides a simple, quantitative and predictive molecular framework for understanding why TCR triggering is so selective and fast, and reveals that for some receptors, cell topography crucially influences signaling outcomes. Significance statement One approach to testing biological theories is to determine if they are predictive. A simple, theoretical treatment of TCR triggering suggests that ligand discrimination by the receptor relies on just two physical principles: (1) the time TCRs spend in cell-cell contacts depleted of large tyrosine phosphatases; and (2) constraints on contact size imposed by T cells using finger-like protrusions to interrogate their targets. The theory not only allows agonistic and non-agonistic TCR ligands to be distinguished but predicts the relative signalling potencies of agonists with remarkable accuracy. This suggests that the theory captures the essential features of receptor triggering.
Nature Immunology | 2016
Veronica T. Chang; Ricardo Fernandes; Kristina A. Ganzinger; Steven F. Lee; Christian Siebold; James McColl; Peter Jönsson; Matthieu Palayret; Karl Harlos; Charlotte H. Coles; E. Yvonne Jones; Yuan Lui; Elizabeth Huang; Robert J. C. Gilbert; David Klenerman; A. Radu Aricescu; Simon J. Davis
PLOS ONE | 2015
Matthieu Palayret; Helen Armes; Srinjan Basu; Adam T. Watson; Alex Herbert; David Lando; Thomas J. Etheridge; Ulrike Endesfelder; Mike Heilemann; Ernest D. Laue; Antony M. Carr; David Klenerman; Steven F. Lee
Biophysical Journal | 2013
Kristina A. Ganzinger; Ricardo Fernandes; James McColl; Steven F. Lee; Matthieu Palayret; Peter Jönsson; Simon J. Davis; David Klenerman