45 research outputs found

    Modulated contact frequencies at gene-rich loci support a statistical helix model for mammalian chromatin organization

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    International audienceABSTRACT: BACKGROUND: Despite its critical role for mammalian gene regulation, the basic structural landscape of chromatin in living cells remains largely unknown within chromosomal territories below the megabase scale. RESULTS: Here, using the 3C-qPCR method, we investigate contact frequencies at high resolution within the interphase chromatin at several mouse loci. We find that, at several gene-rich loci, contact frequencies undergo a periodical modulation (every 90-100 kb) that affects chromatin dynamics over large genomic distances (few hundred kb). Interestingly, this modulation appears to be conserved in human cells and bioinformatic analyses of locus-specific, long-range cis-interactions suggest that it may underlie the dynamics of a significant number of gene-rich domains in mammals, thus contributing to genome evolution. Finally, using an original model derived from polymer physics, we show that this modulation can be understood as a fundamental helix shape that chromatin tends to adopt in gene-rich domains when no significant locus-specific interaction takes place. CONCLUSIONS: Altogether, our work unveils a fundamental aspect of chromatin dynamics in mammals and contributes to a better understanding of genome organization within chromosomal territories

    H19 Antisense RNA Can Up-Regulate Igf2 Transcription by Activation of a Novel Promoter in Mouse Myoblasts

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    It was recently shown that a long non-coding RNA (lncRNA), that we named the 91H RNA (i.e. antisense H19 transcript), is overexpressed in human breast tumours and contributes in trans to the expression of the Insulin-like Growth Factor 2 (IGF2) gene on the paternal chromosome. Our preliminary experiments suggested that an H19 antisense transcript having a similar function may also be conserved in the mouse. In the present work, we further characterise the mouse 91H RNA and, using a genetic complementation approach in H19 KO myoblast cells, we show that ectopic expression of the mouse 91H RNA can up-regulate Igf2 expression in trans despite almost complete unmethylation of the Imprinting-Control Region (ICR). We then demonstrate that this activation occurs at the transcriptional level by activation of a previously unknown Igf2 promoter which displays, in mouse tissues, a preferential mesodermic expression (Pm promoter). Finally, our experiments indicate that a large excess of the H19 transcript can counteract 91H-mediated Igf2 activation. Our work contributes, in conjunction with other recent findings, to open new horizons to our understanding of Igf2 gene regulation and functions of the 91H/H19 RNAs in normal and pathological conditions

    Multi-messenger Observations of a Binary Neutron Star Merger

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    On 2017 August 17 a binary neutron star coalescence candidate (later designated GW170817) with merger time 12:41:04 UTC was observed through gravitational waves by the Advanced LIGO and Advanced Virgo detectors. The Fermi Gamma-ray Burst Monitor independently detected a gamma-ray burst (GRB 170817A) with a time delay of ∼ 1.7 {{s}} with respect to the merger time. From the gravitational-wave signal, the source was initially localized to a sky region of 31 deg2 at a luminosity distance of {40}-8+8 Mpc and with component masses consistent with neutron stars. The component masses were later measured to be in the range 0.86 to 2.26 {M}ȯ . An extensive observing campaign was launched across the electromagnetic spectrum leading to the discovery of a bright optical transient (SSS17a, now with the IAU identification of AT 2017gfo) in NGC 4993 (at ∼ 40 {{Mpc}}) less than 11 hours after the merger by the One-Meter, Two Hemisphere (1M2H) team using the 1 m Swope Telescope. The optical transient was independently detected by multiple teams within an hour. Subsequent observations targeted the object and its environment. Early ultraviolet observations revealed a blue transient that faded within 48 hours. Optical and infrared observations showed a redward evolution over ∼10 days. Following early non-detections, X-ray and radio emission were discovered at the transient’s position ∼ 9 and ∼ 16 days, respectively, after the merger. Both the X-ray and radio emission likely arise from a physical process that is distinct from the one that generates the UV/optical/near-infrared emission. No ultra-high-energy gamma-rays and no neutrino candidates consistent with the source were found in follow-up searches. These observations support the hypothesis that GW170817 was produced by the merger of two neutron stars in NGC 4993 followed by a short gamma-ray burst (GRB 170817A) and a kilonova/macronova powered by the radioactive decay of r-process nuclei synthesized in the ejecta.</p

    Exploring Mammalian Genome within Phase-Separated Nuclear Bodies: Experimental Methods and Implications for Gene Expression

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    International audienceThe importance of genome organization at the supranucleosomal scale in the control of gene expression is increasingly recognized today. In mammals, Topologically Associating Domains (TADs) and the active/inactive chromosomal compartments are two of the main nuclear structures that contribute to this organization level. However, recent works reviewed here indicate that, at specific loci, chromatin interactions with nuclear bodies could also be crucial to regulate genome functions, in particular transcription. They moreover suggest that these nuclear bodies are membrane-less organelles dynamically self-assembled and disassembled through mechanisms of phase separation. We have recently developed a novel genome-wide experimental method, High-salt Recovered Sequences sequencing (HRS-seq), which allows the identification of chromatin regions associated with large ribonucleoprotein (RNP) complexes and nuclear bodies. We argue that the physical nature of such RNP complexes and nuclear bodies appears to be central in their ability to promote efficient interactions between distant genomic regions. The development of novel experimental approaches, including our HRS-seq method, is opening new avenues to understand how self-assembly of phase-separated nuclear bodies possibly contributes to mammalian genome organization and gene expression

    Finite-Size Conformational Transitions: A Unifying Concept Underlying Chromosome Dynamics

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    International audienceInvestigating average thermodynamic quantities is not sufficient to understand conformational transitions of a finite-size polymer. We propose that such transitions are better described in terms of the probability distribution of some finite-size order parameter, and the evolution of this distribution as a control parameter varies. We demonstrate this claim for the coil-globule transition of a linear polymer and its mapping onto a two-state model. In a biological context, polymer models delineate the physical constraints experienced by the genome at different levels of organization, from DNA to chromatin to chromosome. We apply our finite-size approach to the formation of plectonemes in a DNA segment submitted to an applied torque and the ensuing helix-coil transition that can be numerically observed, with a coexistence of the helix and coil states in a range of parameters. Polymer models are also essential to analyze recent in vivo experiments providing the frequency of pairwise contacts between genomic loci. The probability distribution of these contacts yields quantitative information on the conformational fluctuations of chromosome regions. The changes observed in the shape of the distribution when the cell type or the physiological conditions vary may reveal an epigenetic modulation of the conformational constraints experienced by the chromosomes

    Epigenetic regulation of mammalian imprinted genes: from primary to functional imprints.

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    International audienceParental genomic imprinting was discovered in mammals some 20 years ago. This phenomenon, crucial for normal development, rapidly became a key to understanding epigenetic regulation of mammalian gene expression. In this chapter we present a general overview of the field and describe in detail the 'imprinting cycle'. We provide selected examples that recapitulate our current knowledge of epigenetic regulation at imprinted loci. These epigenetic mechanisms lead to the stable repression of imprinted genes on one parental allele by interfering with 'formatting' for gene expression that usually occurs on expressed alleles. From this perspective, genomic imprinting remarkably illustrates the complexity of the epigenetic mechanisms involved in the control of gene expression in mammals

    Epigenetic regulation of mammalian imprinted genes: from primary to functional imprints.

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    International audienceParental genomic imprinting was discovered in mammals some 20 years ago. This phenomenon, crucial for normal development, rapidly became a key to understanding epigenetic regulation of mammalian gene expression. In this chapter we present a general overview of the field and describe in detail the 'imprinting cycle'. We provide selected examples that recapitulate our current knowledge of epigenetic regulation at imprinted loci. These epigenetic mechanisms lead to the stable repression of imprinted genes on one parental allele by interfering with 'formatting' for gene expression that usually occurs on expressed alleles. From this perspective, genomic imprinting remarkably illustrates the complexity of the epigenetic mechanisms involved in the control of gene expression in mammals

    Contribution of Topological Domains and Loop Formation to 3D Chromatin Organization

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    International audienceRecent investigations on 3D chromatin folding revealed that the eukaryote genomes are both highly compartmentalized and extremely dynamic. This review presents the most recent advances in topological domains' organization of the eukaryote genomes and discusses the relationship to chromatin loop formation. CTCF protein appears as a central factor of these two organization levels having either a strong insulating role at TAD borders, or a weaker architectural role in chromatin loop formation. TAD borders directly impact on chromatin dynamics by restricting contacts within specific genomic portions thus confining chromatin loop formation within TADs. We discuss how sub-TAD chromatin dynamics, constrained into a recently described statistical helix conformation, can produce functional interactions by contact stabilization

    Chromatin fiber allostery and the epigenetic code

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    International audienceThe notion of allostery introduced for proteins about fifty years ago has been extended since then to DNA allostery, where a locally triggered DNA structural transition remotely controls other DNA-binding events. We further extend this notion and propose that chromatin fiber allosteric transitions, induced by histone-tail covalent modifications, may play a key role in transcriptional regulation. We present an integrated scenario articulating allosteric mechanisms at different scales: allosteric transitions of the condensed chromatin fiber induced by histone-tail acetylation modify the mechanical constraints experienced by the embedded DNA, thus possibly controlling DNA-binding of allosteric transcription factors or further allosteric mechanisms at the linker DNA level. At a higher scale, different epigenetic constraints delineate different statistically dominant subsets of accessible chromatin fiber conformations, which each favors the assembly of dedicated regulatory complexes, as detailed on the emblematic example of the mouse Igf2-H19 gene locus and its parental imprinting. This physical view offers a mechanistic and spatially structured explanation of the observed correlation between transcriptional activity and histone modifications. The evolutionary origin of allosteric control supports to speak of an 'epigenetic code', by which events involved in transcriptional regulation are encoded in histone modifications in a context-dependent way

    Contribution of 3D genome topological domains to genetic risk of cancers: a genome-wide computational study

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    International audienceBackground: Genome‑wide association studies have identified statistical associations between various diseases,including cancers, and a large number of single‑nucleotide polymorphisms (SNPs). However, they provide no directexplanation of the mechanisms underlying the association. Based on the recent discovery that changes in three‑dimensional genome organization may have functional consequences on gene regulation favoring diseases, weinvestigated systematically the genome‑wide distribution of disease‑associated SNPs with respect to a specific featureof 3D genome organization: topologically associating domains (TADs) and their borders.Results: For each of 449 diseases, we tested whether the associated SNPs are present in TAD borders more often thanobserved by chance, where chance (i.e., the null model in statistical terms) corresponds to the same number of point‑wise loci drawn at random either in the entire genome, or in the entire set of disease‑associated SNPs listed in theGWAS catalog. Our analysis shows that a fraction of diseases displays such a preferential localization of their risk loci.Moreover, cancers are relatively more frequent among these diseases, and this predominance is generally enhancedwhen considering only intergenic SNPs. The structure of SNP‑based diseasome networks confirms that localization ofrisk loci in TAD borders differs between cancers and non‑cancer diseases. Furthermore, different TAD border enrich‑ments are observed in embryonic stem cells and differentiated cells, consistent with changes in topological domainsalong embryogenesis and delineating their contribution to disease risk.Conclusions: Our results suggest that, for certain diseases, part of the genetic risk lies in a local genetic variationaffecting the genome partitioning in topologically insulated domains. Investigating this possible contribution togenetic risk is particularly relevant in cancers. This study thus opens a way of interpreting genome‑wide associationstudies, by distinguishing two types of disease‑associated SNPs: one with an effect on an individual gene, the otheracting in interplay with 3D genome organization
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