Jean-Bernard Fiche
University of Montpellier
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Publication
Featured researches published by Jean-Bernard Fiche.
Molecular Cell | 2015
Martial Marbouty; Antoine Le Gall; Diego I. Cattoni; Axel Cournac; Alan Koh; Jean-Bernard Fiche; Julien Mozziconacci; Heath Murray; Romain Koszul
Chromosomes of a broad range of species, from bacteria to mammals, are structured by large topological domains whose precise functional roles and regulatory mechanisms remain elusive. Here, we combine super-resolution microscopies and chromosome-capture technologies to unravel the higher-order organization of the Bacillus subtilis chromosome and its dynamic rearrangements during the cell cycle. We decipher the fine 3D architecture of the origin domain, revealing folding motifs regulated by condensin-like complexes. This organization, along with global folding throughout the genome, is present before replication, disrupted by active DNA replication, and re-established thereafter. Single-cell analysis revealed a strict correspondence between sub-cellular localization of origin domains and their condensation state. Our results suggest that the precise 3D folding pattern of the origin domain plays a role in the regulation of replication initiation, chromosome organization, and DNA segregation.
PLOS Biology | 2013
Jean-Bernard Fiche; Diego I. Cattoni; Nele Diekmann; Julio Mateos Langerak; Caroline Clerté; Catherine A. Royer; Emmanuel Margeat; Thierry Doan
Super-resolution and fluctuation microscopy in a model DNA-segregation system reveal the architecture and assembly mechanism of the motor responsible for DNA translocation during bacterial cell division.
Analytical Chemistry | 2008
Jean-Bernard Fiche; Julia Fuchs; Arnaud Buhot; Roberto Calemczuk; Thierry Livache
The detection of point mutations in genes presents clear biological and medical interest. Various methods have been considered. In this paper, we take advantage of surface plasmon resonance imaging, a technique allowing detection of unlabeled DNA hybridization. Coupled with a temperature scan, this approach allows us to determine the presence of single-point mutations in oligonucleotide samples from the analysis of DNAs melting curves in either the homozygous or heterozygous case. Moreover, these experimental data are confirmed in good agreement with numerical calculations.
Nature | 2016
Laura M. Faure; Jean-Bernard Fiche; Leon Espinosa; Adrien Ducret; Vivek Anantharaman; Jennifer Luciano; Sébastien Lhospice; Salim T. Islam; Julie Treguier; Mélanie Sotes; Erkin Kuru; Michael S. Van Nieuwenhze; Yves V. Brun; Olivier Theodoly; L. Aravind; Tâm Mignot
Various rod-shaped bacteria mysteriously glide on surfaces in the absence of appendages such as flagella or pili. In the deltaproteobacterium Myxococcus xanthus, a putative gliding motility machinery (the Agl–Glt complex) localizes to so-called focal adhesion sites (FASs) that form stationary contact points with the underlying surface. Here we show that the Agl–Glt machinery contains an inner-membrane motor complex that moves intracellularly along a right-handed helical path; when the machinery becomes stationary at FASs, the motor complex powers a left-handed rotation of the cell around its long axis. At FASs, force transmission requires cyclic interactions between the molecular motor and the adhesion proteins of the outer membrane via a periplasmic interaction platform, which presumably involves contractile activity of motor components and possible interactions with peptidoglycan. Our results provide a molecular model of bacterial gliding motility.
Current Opinion in Microbiology | 2012
Diego I. Cattoni; Jean-Bernard Fiche
Bacteria have evolved complex, multi-component cellular machineries to carry out fundamental cellular processes such as cell division/separation, locomotion, protein secretion, DNA transcription/replication, or conjugation/competence. Diffraction of light has so far restricted the use of conventional fluorescence microscopy to reveal the composition, internal architecture and dynamics of these important machineries. This review describes some of the more recent advances on single-molecule super-resolution microscopy methods applied to bacteria and highlights their application to chemotaxis, cell division, DNA segregation, and DNA transcription machineries. Finally, we discuss some of the lessons learned from this approach, and future perspectives.
PLOS ONE | 2013
Diego I. Cattoni; Jean-Bernard Fiche; Alessandro Valeri; Tâm Mignot
Bacteria have evolved complex, highly-coordinated, multi-component cellular engines to achieve high degrees of efficiency, accuracy, adaptability, and redundancy. Super-resolution fluorescence microscopy methods are ideally suited to investigate the internal composition, architecture, and dynamics of molecular machines and large cellular complexes. These techniques require the long-term stability of samples, high signal-to-noise-ratios, low chromatic aberrations and surface flatness, conditions difficult to meet with traditional immobilization methods. We present a method in which cells are functionalized to a microfluidics device and fluorophores are injected and imaged sequentially. This method has several advantages, as it permits the long-term immobilization of cells and proper correction of drift, avoids chromatic aberrations caused by the use of different filter sets, and allows for the flat immobilization of cells on the surface. In addition, we show that different surface chemistries can be used to image bacteria at different time-scales, and we introduce an automated cell detection and image analysis procedure that can be used to obtain cell-to-cell, single-molecule localization and dynamic heterogeneity as well as average properties at the super-resolution level.
Nature Communications | 2016
Antoine Le Gall; Diego I. Cattoni; Baptiste Guilhas; Céline Mathieu-Demazière; Laura Oudjedi; Jean-Bernard Fiche; Jérôme Rech; Sara Abrahamsson; Heath Murray; Jean-Yves Bouet
Precise and rapid DNA segregation is required for proper inheritance of genetic material. In most bacteria and archaea, this process is assured by a broadly conserved mitotic-like apparatus in which a NTPase (ParA) displaces the partition complex. Competing observations and models imply starkly different 3D localization patterns of the components of the partition machinery during segregation. Here we use super-resolution microscopies to localize in 3D each component of the segregation apparatus with respect to the bacterial chromosome. We show that Par proteins locate within the nucleoid volume and reveal that proper volumetric localization and segregation of partition complexes requires ATPase and DNA-binding activities of ParA. Finally, we find that the localization patterns of the different components of the partition system highly correlate with dense chromosomal regions. We propose a new mechanism in which the nucleoid provides a scaffold to guide the proper segregation of partition complexes.
Methods | 2016
Mariya Georgieva; Diego I. Cattoni; Jean-Bernard Fiche; Thibaut Mutin; Delphine Chamousset
In order to study the detailed assembly and regulation mechanisms of complex structures and machineries in the cell, simultaneous in situ observation of all the individual interacting components should be achieved. Multi-color Single-Molecule Localization Microscopy (SMLM) is ideally suited for these quantifications. Here, we build on previous developments and thoroughly discuss a protocol for two-color SMLM combining PALM and STORM, including sample preparation details, image acquisition and data postprocessing analysis. We implement and evaluate a recently proposed colocalization analysis method (aCBC) that allows single-molecule colocalization quantification with the potential of revealing fine, nanometer-scaled, structural details of multicomponent complexes. Finally, using a doubly-labeled nuclear factor (Beaf-32) in Drosophila S2 cells we experimentally validate the colocalization quantification algorithm, highlight its advantages and discuss how using high molecular weight fluorescently labeled tags compromises colocalization precision in two-color SMLM experiments.
Proceedings of the National Academy of Sciences of the United States of America | 2017
Desirée Salas; Antoine Le Gall; Jean-Bernard Fiche; Alessandro Valeri; Yonggang Ke; Patrick Bron; Gaëtan Bellot
Significance Superresolution imaging techniques have become an essential tool to study the organization and structure of biological molecules with previously unimagined detail. It is becoming clear, however, that structural heterogeneity, dynamics, and low labeling densities can impede the potential of such technologies. Here, we describe a model-free method based on single-particle reconstruction algorithms to extract 3D isotropic structural information from 2D superresolution images of nanometer-sized supramolecular structures, such as DNA origami or protein complexes. We expect our work will help bridge the gap between superresolution microscopy and conventional electron microscopy. Superresolution light microscopy allows the imaging of labeled supramolecular assemblies at a resolution surpassing the classical diffraction limit. A serious limitation of the superresolution approach is sample heterogeneity and the stochastic character of the labeling procedure. To increase the reproducibility and the resolution of the superresolution results, we apply multivariate statistical analysis methods and 3D reconstruction approaches originally developed for cryogenic electron microscopy of single particles. These methods allow for the reference-free 3D reconstruction of nanomolecular structures from two-dimensional superresolution projection images. Since these 2D projection images all show the structure in high-resolution directions of the optical microscope, the resulting 3D reconstructions have the best possible isotropic resolution in all directions.
Nature Communications | 2017
Diego I. Cattoni; Andres M. Cardozo Gizzi; Mariya Georgieva; Marco Di Stefano; Alessandro Valeri; Delphine Chamousset; Christophe Houbron; Stephanie Dejardin; Jean-Bernard Fiche; Inma Gonzalez; Jia-Ming Chang; Tom Sexton; Marc A. Marti-Renom; Frédéric Bantignies; Giacomo Cavalli
At the kilo- to megabase pair scales, eukaryotic genomes are partitioned into self-interacting modules or topologically associated domains (TADs) that associate to form nuclear compartments. Here, we combine high-content super-resolution microscopies with state-of-the-art DNA-labeling methods to reveal the variability in the multiscale organization of the Drosophila genome. We find that association frequencies within TADs and between TAD borders are below ~10%, independently of TAD size, epigenetic state, or cell type. Critically, despite this large heterogeneity, we are able to visualize nanometer-sized epigenetic domains at the single-cell level. In addition, absolute contact frequencies within and between TADs are to a large extent defined by genomic distance, higher-order chromosome architecture, and epigenetic identity. We propose that TADs and compartments are organized by multiple, small-frequency, yet specific interactions that are regulated by epigenetics and transcriptional state.Eukaryotic genomes are partitioned into self-interacting modules or topologically associated domains (TADs) that exist at the kilo-megabase scale. Here Cattoni et al. combine super-resolution microscopy with DNA-labeling methods to quantify absolute frequencies of interactions within TADs.