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2016 et 2017

Article Reference Yeast cell responses and survival during periodic osmotic stress are controlled by glucose availability
Natural environments of living organisms are often dynamic and multifactorial, with multiple parameters fluctuating over time. To better understand how cells respond to dynamically interacting factors, we quantified the effects of dual fluctuations of osmotic stress and glucose deprivation on yeast cells using microfluidics and time-lapse microscopy. Strikingly, we observed that cell proliferation, survival, and signaling depend on the phasing of the two periodic stresses. Cells divided faster, survived longer, and showed decreased transcriptional response when fluctuations of hyperosmotic stress and glucose deprivation occurred in phase than when the two stresses occurred alternatively. Therefore, glucose availability regulates yeast responses to dynamic osmotic stress, showcasing the key role of metabolic fluctuations in cellular responses to dynamic stress. We also found that mutants with impaired osmotic stress response were better adapted to alternating stresses than wild-type cells, showing that genetic mechanisms of adaptation to a persistent stress factor can be detrimental under dynamically interacting conditions.
Article Reference AlphaFold2 Predicts Whether Proteins Interact Amidst Confounding Structural Compatibility
Article Reference Assembly of a unique membrane complex in type VI secretion systems of Bacteroidota.
The type VI secretion system (T6SS) of Gram-negative bacteria inhibits competitorcells through contact-dependent translocation of toxic effector proteins. InProteobacteria, the T6SS is anchored to the cell envelope through amegadalton-sized membrane complex (MC). However, the genomes of Bacteroidota withT6SSs appear to lack genes encoding homologs of canonical MC components. Here, weidentify five genes in Bacteroides fragilis (tssNQOPR) that are essential forT6SS function and encode a Bacteroidota-specific MC. We purify this complex,reveal its dimensions using electron microscopy, and identify a protein-proteininteraction network underlying the assembly of the MC including the stoichiometryof the five TssNQOPR components. Protein TssN mediates the connection between theBacteroidota MC and the conserved baseplate. Although MC gene content andorganization varies across the phylum Bacteroidota, no MC homologs are detectedoutside of T6SS loci, suggesting ancient co-option and functional convergencewith the non-homologous MC of Pseudomonadota.
Article Reference RNAP II antagonizes mitotic chromatin folding and chromosome segregation by condensin.
Condensin shapes mitotic chromosomes by folding chromatin into loops, but whetherit does so by DNA-loop extrusion remains speculative. Although loop-extrudingcohesin is stalled by transcription, the impact of transcription on condensin,which is enriched at highly expressed genes in many species, remains unclear.Using degrons of Rpb1 or the torpedo nuclease Dhp1(XRN2) to either deplete ordisplace RNAPII on chromatin in fission yeast metaphase cells, we show thatRNAPII does not load condensin on DNA. Instead, RNAPII retains condensin in cisand hinders its ability to fold mitotic chromatin and to support chromosomesegregation, consistent with the stalling of a loop extruder. Transcriptiontermination by Dhp1 limits such a hindrance. Our results shed light on theintegrated functioning of condensin, and we argue that a tight control oftranscription underlies mitotic chromosome assembly by loop-extruding condensin.
Article Reference APOLLO, a testis-specific Drosophila ortholog of importin-4, mediates the loading of protamine-like protein Mst77F into sperm chromatin
Article Reference Protocol to measure protein-RNA binding using double filter-binding assays followed by phosphorimaging or high-throughput sequencing
Binding affinity quantitatively describes the strength of a molecular interaction and is reported by the equilibrium dissociation constant (KD). Here, we present a protocol to measure KD of mammalian microRNA-loaded Argonaute2 protein by double filter binding. We describe steps for radiolabeling target RNA, measuring concentration of binding-competent protein, setting up binding reactions, separating protein-bound RNA from protein-unbound RNA, preparing library for Illumina sequencing, and performing data analysis. Our protocol is easily applied to other RNA- or DNA-binding proteins. For complete details on the use and execution of this protocol, please refer to Jouravleva et al.
Article Reference Delineation of two multi-invasion-induced rearrangement pathways that differently affect genome stability
Punctuated bursts of structural genomic variations (SVs) have been described in various organisms, but their etiology remains incompletely understood. Homologous recombination (HR) is a template-guided mechanism of repair of DNA double-strand breaks and stalled or collapsed replication forks. We recently identified a DNA break amplification and genome rearrangement pathway originating from the endonucleolytic processing of a multi-invasion (MI) DNA joint molecule formed during HR. Genome-wide approaches confirmed that multi-invasion-induced rearrangement (MIR) frequently leads to several repeat-mediated SVs and aneuploidies. Using molecular and genetic analysis and a novel, highly sensitive proximity ligation-based assay for chromosomal rearrangement quantification, we further delineate two MIR subpathways. MIR1 is a universal pathway occurring in any sequence context, which generates secondary breaks and frequently leads to additional SVs. MIR2 occurs only if recombining donors exhibit substantial homology and results in sequence insertion without additional breaks or SVs. The most detrimental MIR1 pathway occurs late on a subset of persisting DNA joint molecules in a PCNA/Polδ-independent manner, unlike recombinational DNA synthesis. This work provides a refined mechanistic understanding of these HR-based SV formation pathways and shows that complex repeat-mediated SVs can occur without displacement DNA synthesis. Sequence signatures for inferring MIR1 from long-read data are proposed.
Article Reference Neural network and kinetic modelling of human genome replication reveal replication origin locations and strengths.
In human and other metazoans, the determinants of replication origin location andstrength are still elusive. Origins are licensed in G1 phase and fired in S phaseof the cell cycle, respectively. It is debated which of these two temporallyseparate steps determines origin efficiency. Experiments can independentlyprofile mean replication timing (MRT) and replication fork directionality (RFD)genome-wide. Such profiles contain information on multiple origins' propertiesand on fork speed. Due to possible origin inactivation by passive replication,however, observed and intrinsic origin efficiencies can markedly differ. Thus,there is a need for methods to infer intrinsic from observed origin efficiency,which is context-dependent. Here, we show that MRT and RFD data are highlyconsistent with each other but contain information at different spatial scales.Using neural networks, we infer an origin licensing landscape that, when insertedin an appropriate simulation framework, jointly predicts MRT and RFD data withunprecedented precision and underlies the importance of dispersive origin firing.We furthermore uncover an analytical formula that predicts intrinsic fromobserved origin efficiency combined with MRT data. Comparison of inferredintrinsic origin efficiencies with experimental profiles of licensed origins(ORC, MCM) and actual initiation events (Bubble-seq, SNS-seq, OK-seq, ORM) showthat intrinsic origin efficiency is not solely determined by licensingefficiency. Thus, human replication origin efficiency is set at both the originlicensing and firing steps.
Article Reference HP1-driven phase separation recapitulates the thermodynamics and kinetics of heterochromatin condensate formation.
The spatial segregation of pericentromeric heterochromatin (PCH) into distinct,membrane-less nuclear compartments involves the binding of HeterochromatinProtein 1 (HP1) to H3K9me2/3-rich genomic regions. While HP1 exhibitsliquid-liquid phase separation properties in vitro, its mechanistic impact on thestructure and dynamics of PCH condensate formation in vivo remains largelyunresolved. Here, using a minimal theoretical framework, we systematicallyinvestigate the mutual coupling between self-interacting HP1-like molecules andthe chromatin polymer. We reveal that the specific affinity of HP1 for H3K9me2/3loci facilitates coacervation in nucleo and promotes the formation of stable PCHcondensates at HP1 levels far below the concentration required to observe phaseseparation in purified protein assays in vitro. These heterotypic HP1-chromatininteractions give rise to a strong dependence of the nucleoplasmic HP1 density onHP1-H3K9me2/3 stoichiometry, consistent with the thermodynamics of multicomponentphase separation. The dynamical cross talk between HP1 and the viscoelasticchromatin scaffold also leads to anomalously slow equilibration kinetics, whichstrongly depend on the genomic distribution of H3K9me2/3 domains and result inthe coexistence of multiple long-lived, microphase-separated PCH compartments.The morphology of these complex coacervates is further found to be governed bythe dynamic establishment of the underlying H3K9me2/3 landscape, which may drivetheir increasingly abnormal, aspherical shapes during cell development. Thesefindings compare favorably to 4D microscopy measurements of HP1 condensateformation in live Drosophila embryos and suggest a general quantitative model ofPCH formation based on the interplay between HP1-based phase separation andchromatin polymer mechanics.
Article Reference Biophysical ordering transitions underlie genome 3D re-organization during cricket spermiogenesis.
Spermiogenesis is a radical process of differentiation whereby sperm cellsacquire a compact and specialized morphology to cope with the constraints ofsexual reproduction while preserving their main cargo, an intact copy of thepaternal genome. In animals, this often involves the replacement of most histonesby sperm-specific nuclear basic proteins (SNBPs). Yet, how the SNBP-structuredgenome achieves compaction and accommodates shaping remain largely unknown. Here,we exploit confocal, electron and super-resolution microscopy, coupled withpolymer modeling to identify the higher-order architecture of sperm chromatin inthe needle-shaped nucleus of the emerging model cricket Gryllus bimaculatus.Accompanying spermatid differentiation, the SNBP-based genome is strikinglyreorganized as ~25nm-thick fibers orderly coiled along the elongated nucleusaxis. This chromatin spool is further found to achieve large-scale helicaltwisting in the final stages of spermiogenesis, favoring its ultracompaction. Wereveal that these dramatic transitions may be recapitulated by a surprisinglysimple biophysical principle based on a nucleated rigidification of chromatinlinked to the histone-to-SNBP transition within a confined nuclear space. Ourwork highlights a unique, liquid crystal-like mode of higher-order genomeorganization in ultracompact cricket sperm, and establishes a multidisciplinarymethodological framework to explore the diversity of non-canonical modes of DNAorganization.
Article Reference Essential and recurrent roles for hairpin RNAs in silencing de novo sex chromosome conflict in Drosophila simulans
AMUeio: tPicledarsievceolnofcirimditshtaotratllthheeandoinrgmleavlelylseaqreuraelpsresgernetgedactioornreocftlayl:leles, which benefits their own transmission even in the face of severe fitness costs to their host organism. However, relatively little is known about the molecular identity of meiotic drivers, their strategies of action, and mechanisms that can suppress their activity. Here, we present data from the fruitfly Drosophila simulans that address these questions. We show that a family of de novo, protamine-derived X-linked selfish genes (the Dox gene family) is silenced by a pair of newly emerged hairpin RNA (hpRNA) small interfering RNA (siRNA)-class loci, Nmy and Tmy. In the w[XD1] genetic background, knockout of nmy derepresses Dox and MDox in testes and depletes male progeny, whereas knockout of tmy causes misexpression of PDox genes and renders males sterile. Importantly, genetic interactions between nmy and tmy mutant alleles reveal that Tmy also specifically maintains male progeny for normal sex ratio. We show the Dox loci are functionally polymorphic within D. simulans, such that both nmy-associated sex ratio bias and tmy-associated sterility can be rescued by wild-type X chromosomes bearing natural deletions in different Dox family genes. Finally, using tagged transgenes of Dox and PDox2, we provide the first experimental evidence Dox family genes encode proteins that are strongly derepressed in cognate hpRNA mutants. Altogether, these studies support a model in which protamine-derived drivers and hpRNA suppressors drive repeated cycles of sex chromosome conflict and resolution that shape genome evolution and the genetic control of male gametogenesis.
Article Reference Discriminating physiological from non-physiological interfaces in structures of protein complexes: a community-wide study
Article Reference SIN3 acts in distinct complexes to regulate the germline transcriptional program in C. elegans.
The SIN3 transcriptional coregulator influences gene expression through multipleinteractions that include histone deacetylases (HDACs). Haploinsufficiency andmutations in SIN3 are the underlying cause of Witteveen-Kolk syndrome and relatedintellectual disability (ID)/autism syndromes, emphasizing its key role indevelopment. However, little is known about the diversity of its interactions andfunctions in developmental processes. Here we show that loss of SIN-3, the singleSIN3 homologue in Caenorhabditis elegans, results in maternal effect sterilityassociated with deregulation of the germline transcriptome, including desilencingof X-linked genes. We identify at least two distinct SIN3 complexes containingspecific HDACs, and show that they differentially contribute to fertility. Singlecell smFISH reveals that in sin-3 mutants, the X chromosome becomes re-expressedprematurely and in a stochastic manner in individual germ cells, suggesting arole for SIN-3 in its silencing. Furthermore, we identify histone residues whoseacetylation increases in the absence of SIN3. Together, this work provides apowerful framework for the in vivo study of SIN3 and associated proteins.
Article Reference Biophysical ordering transitions underlie genome 3D re-organization during cricket spermiogenesis
Abstract Spermiogenesis is a radical process of differentiation whereby sperm cells acquire a compact and specialized morphology to cope with the constraints of sexual reproduction while preserving their main cargo, an intact copy of the paternal genome. In animals, this often involves the replacement of most histones by sperm-specific nuclear basic proteins (SNBPs). Yet, how the SNBP-structured genome achieves compaction and accommodates shaping remain largely unknown. Here, we exploit confocal, electron and super-resolution microscopy, coupled with polymer modeling to identify the higher-order architecture of sperm chromatin in the needle-shaped nucleus of the emerging model cricket Gryllus bimaculatus . Accompanying spermatid differentiation, the SNBP-based genome is strikingly reorganized as ˊ25nm-thick fibers orderly coiled along the elongated nucleus axis. This chromatin spool is further found to achieve large-scale helical twisting in the final stages of spermiogenesis, favoring its ultracompaction. We reveal that these dramatic transitions may be recapitulated by a surprisingly simple biophysical principle based on a nucleated rigidification of chromatin linked to the histone-to-SNBP transition within a confined nuclear space. Our work highlights a unique, liquid crystal-like mode of higher-order genome organization in ultracompact cricket sperm, and establishes a multidisciplinary methodological framework to explore the diversity of non-canonical modes of DNA organization.
Article Reference Expulsion mechanism of the substrate-translocating subunit in ECF transporters
Article Reference CGCompiler: Automated Coarse-Grained Molecule Parametrization via Noise-Resistant Mixed-Variable Optimization
Coarse-grained force fields (CG FFs) such as the Martini model entail a predefined, fixed set of Lennard-Jones parameters (building blocks) to model virtually all possible nonbonded interactions between chemically relevant molecules. Owing to its universality and transferability, the building-block coarse-grained approach has gained tremendous popularity over the past decade. The parametrization of molecules can be highly complex and often involves the selection and fine-tuning of a large number of parameters (e.g., bead types and bond lengths) to optimally match multiple relevant targets simultaneously. The parametrization of a molecule within the building-block CG approach is a mixed-variable optimization problem: the nonbonded interactions are discrete variables, whereas the bonded interactions are continuous variables. Here, we pioneer the utility of mixed-variable particle swarm optimization in automatically parametrizing molecules within the Martini 3 coarse-grained force field by matching both structural (e.g., RDFs) as well as thermodynamic data (phase-transition temperatures). For the sake of demonstration, we parametrize the linker of the lipid sphingomyelin. The important advantage of our approach is that both bonded and nonbonded interactions are simultaneously optimized while conserving the search efficiency of vector guided particle swarm optimization (PSO) methods over other metaheuristic search methods such as genetic algorithms. In addition, we explore noise-mitigation strategies in matching the phase-transition temperatures of lipid membranes, where nucleation and concomitant hysteresis introduce a dominant noise term within the objective function. We propose that noise-resistant mixed-variable PSO methods can both improve and automate parametrization of molecules within building-block CG FFs, such as Martini.
Article Reference Transmembrane dimers of type 1 receptors sample alternate configurations: MD simulations using coarse grain Martini 3 versus AlphaFold2 Multimer
Article Reference An implementation of the Martini coarse-grained force field in OpenMM
Article Reference Automatic Optimization of Lipid Models in the Martini Force Field Using SwarmCG
After two decades of continued development of the Martini coarse-grained force field (CG FF), further refinment of the already rather accurate Martini lipid models has become a demanding task that could benefit from integrative data-driven methods. Automatic approaches are increasingly used in the development of accurate molecular models, but they typically make use of specifically designed interaction potentials that transfer poorly to molecular systems or conditions different than those used for model calibration. As a proof of concept, here, we employ SwarmCG, an automatic multiobjective optimization approach facilitating the development of lipid force fields, to refine specifically the bonded interaction parameters in building blocks of lipid models within the framework of the general Martini CG FF. As targets of the optimization procedure, we employ both experimental observables (top-down references: area per lipid and bilayer thickness) and all-atom molecular dynamics simulations (bottom-up reference), which respectively inform on the supra-molecular structure of the lipid bilayer systems and on their submolecular dynamics. In our training sets, we simulate at different temperatures in the liquid and gel phases up to 11 homogeneous lamellar bilayers composed of phosphatidylcholine lipids spanning various tail lengths and degrees of (un)saturation. We explore different CG representations of the molecules and evaluate improvements a posteriori using additional simulation temperatures and a portion of the phase diagram of a DOPC/DPPC mixture. Successfully optimizing up to ∼80 model parameters within still limited computational budgets, we show that this protocol allows the obtainment of improved transferable Martini lipid models. In particular, the results of this study demonstrate how a fine-tuning of the representation and parameters of the models may improve their accuracy and how automatic approaches, such as SwarmCG, may be very useful to this end.
Article Reference Facilitating CG Simulations with MAD: The MArtini Database Server
The MArtini Database (MAD - https://mad.ibcp.fr) is a web server designed for the sharing of structures and topologies of molecules parametrized with the Martini coarse-grained (CG) force field. MAD can also convert atomistic structures into CG structures and prepare complex systems (including proteins, lipids, etc.) for molecular dynamics (MD) simulations at the CG level. It is dedicated to the generation of input files for Martini 3, the most recent version of this popular CG force field. Specifically, the MAD server currently includes tools to submit or retrieve CG models of a wide range of molecules (lipids, carbohydrates, nanoparticles, etc.), transform atomistic protein structures into CG structures and topologies, with fine control on the process and assemble biomolecules into large systems, and deliver all files necessary to start simulations in the GROMACS MD engine.