20 results on '"Guillaume Pavlovic"'
Search Results
2. Editor's evaluation: Rapid and specific degradation of endogenous proteins in mouse models using auxin-inducible degrons
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Guillaume Pavlovic
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- 2022
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3. Decision letter: Rapid and specific degradation of endogenous proteins in mouse models using auxin-inducible degrons
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Guillaume Pavlovic, Lluis Montoliu, and Channabasavaiah B Gurumurthy
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- 2022
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4. Increased On-Target Rate and Risk of Concatemerization after CRISPR-Enhanced Targeting in ES Cells
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Valérie Erbs, Romain Lorentz, Benjamin Eisenman, Laurence Schaeffer, Laurence Luppi, Loic Lindner, Yann Hérault, Guillaume Pavlovic, Marie Wattenhofer-Donzé, and Marie-Christine Birling
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double-strand break ,Genetics ,genome editing ,homologous recombination ,embryonic stem cells ,CRISPR/Cas9 ,reproducibility ,Genetics (clinical) ,gene targeting - Abstract
The French mouse clinic (Institut Clinique de la Souris; ICS) has produced more than 2000 targeting vectors for ‘à la carte’ mutagenesis in C57BL/6N mice. Although most of the vectors were used successfully for homologous recombination in murine embryonic stem cells (ESCs), a few have failed to target a specific locus after several attempts. We show here that co-electroporation of a CRISPR plasmid with the same targeting construct as the one that failed previously allows the systematic achievement of positive clones. A careful validation of these clones is, however, necessary as a significant number of clones (but not all) show a concatemerization of the targeting plasmid at the locus. A detailed Southern blot analysis permitted characterization of the nature of these events as standard long-range 5′ and 3′ PCRs were not able to distinguish between correct and incorrect alleles. We show that a simple and inexpensive PCR performed prior to ESC amplification allows detection and elimination of those clones with concatemers. Finally, although we only tested murine ESCs, our results highlight the risk of mis-validation of any genetically modified cell line (such as established lines, induced pluripotent stem cells or those used for ex vivo gene therapy) that combines the use of CRISPR/Cas9 and a circular double-stranded donor. We strongly advise the CRISPR community to perform a Southern blot with internal probes when using CRISPR to enhance homologous recombination in any cell type, including fertilized oocytes.
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- 2023
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5. BIN1 Genetic Risk Factor for Alzheimer is Sufficient to Induce Early Structural Tract Alterations in Entorhinal-Hippocampal Area and Memory-Related Hippocampal Multi-Scale Impairments
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TomoKazu Tsurugizawa, Damien Marechal, Aude-Marie Lepagnol-Bestel, Jean-Christophe Rain, Michel Simonneau, Martina Reiss, Nicolas Bourg, Helin Atas-Ozcan, Alexandra Winkeler, Valerie Hindie, Jocelyn Laporte, Patrick Dutar, Jorge Diaz, Doulaye Dembélé, Guillaume Dupuis, Yoshifumi Abe, Harald Kranz, Maxime Sartori, Denis Le Bihan, Claire Chevalier, Chiara Guerrera, Guillaume Pavlovic, Bernard Malissen, Roxane Golgolab, Luisa Ciobanu, Andrew M. McKenzie, Sandrine Lévêque-Fort, Brigitte Potier, Bin Zhang, Loic Lindner, Joanna Lipecka, Christelle Thibault-Carpentier, Julia Viard, Elisabeth Davenas, Cyril Poupon, Yann Herault, Ivy Uszynski, Marie-Christine Birling, Qing Jun Wang, Rachel Daudin, and Yann Loe-Mie
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Genetically modified mouse ,medicine.anatomical_structure ,Dendritic spine ,Gyrus ,Resting state fMRI ,medicine ,Long-term potentiation ,Biology ,Hippocampal formation ,Entorhinal cortex ,Episodic memory ,Neuroscience - Abstract
Genetic factors are known to contribute to Late Onset Alzheimer’s disease (LOAD) but their contribution to pathophysiology, specially to prodomic phases accessible to therapeutic approaches are far to be understood. To translate genetic risk of Alzheimer's disease (AD) into mechanistic insight, we generated transgenic mouse lines that express a ~195 kbp human BAC that includes only BIN1, a gene associated to LOAD. This model gives a modest BIN1 overexpression, dependent of the number of BAC copies. At 6 months of age, we detected impaired entorhinal cortex (EC)-hippocampal pathways with specific impairments in EC-dentate gyrus synaptic long-term potentiation, dendritic spines of granular cells and recognition episodic memory. Structural changes were quantified using MRI. Their whole-brain functional impact were analyzed using resting state fMRI with a hypoconnectivity centered on entorhinal cortex. These early phenotype defects independent of any changes in A-beta can be instrumental in the search for new AD drug targets.
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- 2021
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6. Reliable and robust droplet digital PCR (ddPCR) and RT-ddPCR protocols for mouse studies
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Marie-Christine Birling, Yann Herault, Loic Lindner, Pauline Cayrou, Sylvie Jacquot, Guillaume Pavlovic, Pavlovic, Guillaume, Institut Clinique de la Souris (ICS), Université de Strasbourg (UNISTRA)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Institut de Génétique et de Biologie Moléculaire et Cellulaire (IGBMC), and Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Université de Strasbourg (UNISTRA)
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[SDV.BA] Life Sciences [q-bio]/Animal biology ,[SDV]Life Sciences [q-bio] ,Computational biology ,Biology ,Real-Time Polymerase Chain Reaction ,General Biochemistry, Genetics and Molecular Biology ,law.invention ,03 medical and health sciences ,Mice ,Genome editing ,law ,[SDV.BBM] Life Sciences [q-bio]/Biochemistry, Molecular Biology ,CRISPR ,Animals ,Digital polymerase chain reaction ,[SDV.BBM]Life Sciences [q-bio]/Biochemistry, Molecular Biology ,Molecular Biology ,Gene ,ComputingMilieux_MISCELLANEOUS ,Polymerase chain reaction ,030304 developmental biology ,0303 health sciences ,Cas9 ,[SDV.BA]Life Sciences [q-bio]/Animal biology ,030302 biochemistry & molecular biology ,Genetically modified animals ,Quality control ,Research reproducibility ,DNA ,RT-ddPCR ,Rats ,Nucleic acid ,dMIQE ,RNA ,RNA extraction ,droplet digital PCR (ddPCR) - Abstract
International audience; Droplet digital PCR (ddPCR) is a recent method developed for the quantification of nucleic acids sequences. It is an evolution of PCR methodology incorporating two principal differences: a PCR reaction is performed in thousands of water-oil emulsion droplets and fluorescence is measured at the end of PCR amplification. It leads to the precise and reproducible quantification of DNA and RNA sequences. Here, we present quantitative methods for DNA and RNA analysis using Bio-Rad QX100 or QX200 systems, respectively. The aim of these methods is to provide useful molecular tools for validating genetically altered animal models such as those subject to CRISPR/Cas9 genome editing, as well for expression or CNV studies. A standard procedure for simultaneous DNA and RNA extraction adapted for mouse organs is also described. These methods were initially designed for mouse studies but also work for samples from other species like rat or human. In our lab, thousands of samples and hundreds of target genes from genetically altered lines were examined using these methods. This large dataset was analyzed to evaluate technical optimizations and limitations. Finally, we propose additional recommendations to be included in dMIQE (Minimum information for publication of quantitative digital PCR experiments) guidelines when using ddPCR instruments.
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- 2020
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7. Modeling Down syndrome in animals from the early stage to the 4.0 models and next
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Maria Del Mar, Muñiz Moreno, Véronique, Brault, Marie-Christine, Birling, Guillaume, Pavlovic, and Yann, Herault
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Disease Models, Animal ,Gene Transfer Techniques ,Animals ,Down Syndrome ,Genetic Engineering - Abstract
The genotype-phenotype relationship and the physiopathology of Down Syndrome (DS) have been explored in the last 20 years with more and more relevant mouse models. From the early age of transgenesis to the new CRISPR/CAS9-derived chromosomal engineering and the transchromosomic technologies, mouse models have been key to identify homologous genes or entire regions homologous to the human chromosome 21 that are necessary or sufficient to induce DS features, to investigate the complexity of the genetic interactions that are involved in DS and to explore therapeutic strategies. In this review we report the new developments made, how genomic data and new genetic tools have deeply changed our way of making models, extended our panel of animal models, and increased our understanding of the neurobiology of the disease. But even if we have made an incredible progress which promises to make DS a curable condition, we are facing new research challenges to nurture our knowledge of DS pathophysiology as a neurodevelopmental disorder with many comorbidities during ageing.
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- 2020
8. Ketohexokinase knockout mice, a model for essential fructosuria, exhibit altered fructose metabolism and are protected from diet-induced metabolic defects
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Thomas W. Rosahl, Jin Cao, Kithsiri Herath, Ku Lu, Guillaume Pavlovic, Gaochao Zhou, Taro E. Akiyama, Corin O. Miller, Cai Li, Xiaodong Yang, and Roger Askew
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Blood Glucose ,0301 basic medicine ,medicine.medical_specialty ,Physiology ,Endocrinology, Diabetes and Metabolism ,030209 endocrinology & metabolism ,Diet, High-Fat ,Fructose Metabolism, Inborn Errors ,Fructokinases ,Eating ,03 medical and health sciences ,chemistry.chemical_compound ,0302 clinical medicine ,Insulin resistance ,Essential fructosuria ,Metabolic Diseases ,Physiology (medical) ,Internal medicine ,Glucose Intolerance ,medicine ,Animals ,Mice, Knockout ,chemistry.chemical_classification ,Body Weight ,Fructosephosphates ,Fructose ,Lipid Metabolism ,medicine.disease ,Diet ,030104 developmental biology ,Fructose metabolism ,Enzyme ,Endocrinology ,chemistry ,Lipogenesis ,Knockout mouse ,Insulin Resistance ,Dyslipidemia - Abstract
Fructose consumption in humans and animals has been linked to enhanced de novo lipogenesis, dyslipidemia, and insulin resistance. Hereditary deficiency of ketohexokinase (KHK), the first enzymatic step in fructose metabolism, leads to essential fructosuria in humans, characterized by elevated levels of blood and urinary fructose following fructose ingestion but is otherwise clinically benign. To address whether KHK deficiency is associated with altered glucose and lipid metabolism, a Khk knockout (KO) mouse line was generated and characterized. NMR spectroscopic analysis of plasma following ingestion of [6-13C] fructose revealed striking differences in biomarkers of fructose metabolism. Significantly elevated urine and plasma 13C-fructose levels were observed in Khk KO vs. wild-type (WT) control mice, as was reduced conversion of 13C-fructose into plasma 13C-glucose and 13C-lactate. In addition, the observation of significant levels of fructose-6-phosphate in skeletal muscle tissue of Khk KO, but not WT, mice suggests a potential mechanism, whereby fructose is metabolized via muscle hexokinase in the absence of KHK. Khk KO mice on a standard chow diet displayed no metabolic abnormalities with respect to ambient glucose, glucose tolerance, body weight, food intake, and circulating trigylcerides, β-hydroxybutyrate, and lactate. When placed on a high-fat and high-fructose (HF/HFruc) diet, Khk KO mice had markedly reduced liver weight, triglyceride levels, and insulin levels. Together, these results suggest that Khk KO mice may serve as a good model for essential fructosuria in humans and that inhibition of KHK offers the potential to protect from diet-induced hepatic steatosis and insulin resistance.
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- 2018
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9. Modeling human disease in rodents by CRISPR/Cas9 genome editing
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Yann Herault, Guillaume Pavlovic, Marie-Christine Birling, Institut de Génétique et de Biologie Moléculaire et Cellulaire (IGBMC), Université de Strasbourg (UNISTRA)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Institut de génétique et biologie moléculaire et cellulaire (IGBMC), Université Louis Pasteur - Strasbourg I-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), and univOAK, Archive ouverte
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0301 basic medicine ,Multifactorial Inheritance ,RNA, Untranslated ,Genomics ,[SDV.GEN] Life Sciences [q-bio]/Genetics ,Computational biology ,Disease ,Regulatory Sequences, Ribonucleic Acid ,Biology ,Models, Biological ,Article ,Animals, Genetically Modified ,Mice ,Open Reading Frames ,03 medical and health sciences ,Human disease ,Genome editing ,Genetics ,Animals ,Humans ,CRISPR ,Genetic Predisposition to Disease ,Precision Medicine ,Genetic Association Studies ,Gene Editing ,[SDV.GEN]Life Sciences [q-bio]/Genetics ,Cas9 ,Genetic Variation ,Genetic Therapy ,Precision medicine ,Human genetics ,Disease Models, Animal ,030104 developmental biology ,CRISPR-Cas Systems - Abstract
Modeling human disease has proven to be a challenge for the scientific community. For years, generating an animal model was complicated and restricted to very few species. With the rise of CRISPR/Cas9, it is now possible to generate more or less any animal model. In this review, we will show how this technology is and will change our way to obtain relevant disease animal models and how it should impact human health.
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- 2017
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10. Optimizing PCR for Mouse Genotyping: Recommendations for Reliable, Rapid, Cost Effective, Robust and Adaptable to High‐Throughput Genotyping Protocol for Any Type of Mutation
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Sylvie Jacquot, Françoise Piguet, Guillaume Pavlovic, Yann Herault, Nathalie Chartoire, Institut Clinique de la Souris (ICS), Université de Strasbourg (UNISTRA)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Institut de Génétique et de Biologie Moléculaire et Cellulaire (IGBMC), Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Université de Strasbourg (UNISTRA), and Herault, Yann
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Genotyping Techniques ,[SDV.BA] Life Sciences [q-bio]/Animal biology ,Computer science ,[SDV]Life Sciences [q-bio] ,[SDV.GEN] Life Sciences [q-bio]/Genetics ,Computational biology ,Polymerase Chain Reaction ,Genome ,law.invention ,Mice ,03 medical and health sciences ,0302 clinical medicine ,law ,Animals ,Sequence variation ,Genotyping ,ComputingMilieux_MISCELLANEOUS ,Polymerase chain reaction ,030304 developmental biology ,[SDV.GEN]Life Sciences [q-bio]/Genetics ,0303 health sciences ,[SDV.BA]Life Sciences [q-bio]/Animal biology ,High-Throughput Nucleotide Sequencing ,Reproducibility of Results ,General Medicine ,Tissue sampling ,[SDV] Life Sciences [q-bio] ,Mutation ,High throughput genotyping ,030217 neurology & neurosurgery ,Animal facility - Abstract
Genotyping consists of searching for a DNA sequence variation localized at a well-defined locus in the genome. It is an essential step in animal research because it allows the identification of animals that will be bred to generate and maintain a colony, euthanized to control the available space in the animal facility, or used in experiment protocols. Here we describe polymerase chain reaction (PCR) genotyping protocols for fast, sensitive, easy, and cost-effective characterization of mouse genotype. We discuss optimization of parameters to improve the reliability of each assay and propose recommendations for enhancing reproducibility and reducing the occurrence of inconclusive genotyping. All steps required for efficient genotyping are presented: tissue collection; sample verification and direct DNA lysis; establishment of a robust genotyping strategy with reliable, rapid, and cost-effective assays; and finally, transition to high-throughput automatized PCR, including mix miniaturization and automation. © 2019 The Authors. Basic Protocol 1: Tissue sampling methods and procedure Basic Protocol 2: Sample verification and DNA lysis Basic Protocol 3: Design of a genotyping strategy Basic Protocol 4: Moving to high-throughput genotyping.
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- 2019
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11. Introduction to mammalian genome special issue: the microbiome in human health and disease
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George M. Weinstock, Guillaume Pavlovic, and Je Kyung Seong
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Mammals ,2019-20 coronavirus outbreak ,Coronavirus disease 2019 (COVID-19) ,Genome, Human ,Microbiota ,Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) ,Computational biology ,Disease ,Biology ,Article ,Human genetics ,Human health ,Genetics ,Animals ,Humans ,Microbiome ,Mammalian genome - Published
- 2021
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12. BIN1 genetic risk factor for Alzheimer is sufficient to induce early structural tract alterations in entorhinal-hippocampal area and memory-related hippocampal multi-scale impairments
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Marie-Christine Birling, Y Abe, Jean-Christophe Rain, Martina Reiss, Maxime Sartori, I. Uszynski, Christelle Thibault-Carpentier, Alexandra Winkeler, Julia Viard, Andrew M. McKenzie, D Le Bihan, Bernard Malissen, Harald Kranz, Damien Marechal, Guillaume Dupuis, Cyril Poupon, Aude-Marie Lepagnol-Bestel, R Golgolab, Yann Loe-Mie, Chiara Guerrera, Helin Atas-Ozcan, B Potier, Valerie Hindie, Jocelyn Laporte, Luisa Ciobanu, Jorge Diaz, Guillaume Pavlovic, R Daudin, Yann Herault, Loic Lindner, Joanna Lipecka, Tomokazu Tsurugizawa, Sandrine Lévêque-Fort, Qing Jun Wang, Elisabeth Davenas, Doulaye Dembélé, Claire Chevalier, P. Dutar, Michel Simonneau, Bin Zhang, and Nathalie Bourg
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Apolipoprotein E ,0303 health sciences ,Neurodegeneration ,Long-term potentiation ,Hippocampal formation ,Biology ,medicine.disease ,Somatosensory system ,03 medical and health sciences ,0302 clinical medicine ,medicine.anatomical_structure ,Gyrus ,medicine ,Dementia ,Neuroscience ,Episodic memory ,030217 neurology & neurosurgery ,030304 developmental biology - Abstract
Late Onset Alzheimer Disease (LOAD) is the most common form of dementia and one of the most challenging diseases of modern society. Understanding the preclinical stages of AD that begins in the brain at least 2 to 3 decades before evidence of episodic memory defects in patients is pivotal for the design of successful approaches to delay or reverse the transition from normal brain function to cognitive impairments. Our working hypothesis is that LOAD genetic risk factors can be sufficient to generate early phenotypical changes before any changes in either Abeta or Tau. To test this hypothesis, we generated an hBIN1 mouse model based on the human BIN1 gene overexpression that we found in post-mortem brain samples from LOAD patients. BIN1 is the second important risk factor for AD, following the APOE gene. We identified co-deregulated gene repertoires common to both 7-week mouse hippocampus sub-regions and post-mortem brain samples from LOAD patients, demonstrating the validity of this hBIN1 model. We evidenced an early phenotype of neurodegeneration starting at 3 months with structural impairment fiber pathways quantified by high resolution (17.2T) (MRI DTI) and related functional impacts. We found structural changes in entorhinal cortex-dentate gyrus (EC-DG) pathway known to be the earliest brain region impacted in LOAD. Similarly, the function of this pathway was impaired both in vitro and in vivo, with the changes in spine density and dendritic simplification of DG neurons, impaired EC-DG long-term potentiation (LTP) and behavioral deficits linked to object recognition episodic memory. As expected for a neurodegenerative model, we evidenced the progression of dysfunction at the morphological, functional and behavioral levels with age. Structural spreading involved impairment of fibers in somatosensory and temporal associative cortexes at month 15. Functional and behavioral spreading was characterized by impact on pattern separation of spatial episodic memory. Moreover, this neurodegeneration occurred without any detectable changes in Abeta 1-42 and tau. Overall, these data show the possibility to identify a repertoire of molecular changes occurring both in patients and in hBIN1 mice and whose further manipulation can be instrumental to rescue or delay episodic memory defects.
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- 2018
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13. Genome wide conditional mouse knockout resources
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Nadia Rosenthal, Edward Ryder, Jens Hansen, Janet Rossant, Ralf Kühn, Lydia Teboul, Barry Rosen, Cornelia Kaloff, Steve D.M. Brown, Terry Meehan, Susan Marschall, Yann Herault, Haydn M. Prosser, Gautier Koscielny, P. J. de Jong, Paul N. Schofield, S. Martínez, Frank Schnütgen, R. G. Lopez, Vivek Iyer, Kevin C K Lloyd, Hilary Gates, A. F. Stewart, Richard Baldock, Colin McKerlie, Francesco Chiani, Andras Nagy, Wendy Bushell, Martin Ringwald, Geoff Hicks, H. von Melchner, Paul Flicek, J.T. Eppig, A. Pombero, Wolfgang Wurst, Elizabeth M. Simpson, William C. Skarnes, Martin Fray, M. Hrabé de Angelis, Mohammed Selloum, Ramiro Ramirez-Solis, Andreas Hörlein, Stephen A. Murray, Joel Schick, Anthony P. West, G. P. Tocchini Valentini, Richard H. Finnell, Damian Smedley, Guillaume Pavlovic, Lauryl M. J. Nutter, J. Beig, Brendan Doe, Konstantinos Anastassiadis, Marie-Christine Birling, Claudia Seisenberger, Alessia Gambadoro, Mark W. Moore, Allan Bradley, David M. Valenzuela, Colin Fletcher, Francis S. Collins, Antje Bürger, Roland H. Friedel, P. Liu, Abdel Ayadi, P. Ruiz Noppinger, European Commission, National Institutes of Health (US), and Agence Nationale de la Recherche (France)
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0301 basic medicine ,Genetics ,Mutant ,Gene targeting ,Biology ,Genome ,Embryonic stem cell ,International Knockout Mouse Consortium ,03 medical and health sciences ,030104 developmental biology ,Gene trapping ,Research community ,Drug Discovery ,Molecular Medicine ,ddc:610 ,Gene - Abstract
Novel development in mouse phenotyping 2014: et al., The International Knockout Mouse Consortium (IKMC) developed high throughput gene trapping and gene targeting pipelines that produced mostly conditional mutations of more than 18,500 genes in C57BL/6N mouse embryonic stem (ES) cells which have been archived and are freely available to the research community as a frozen resource. From this unprecedented resource more than 6000 mutant mouse strains have been generated by the IKMC in collaboration with the International Mouse Phenotyping Consortium (IMPC). In addition, a cre-driver resource was established including 250 C57BL/6 cre-inducible mouse strains. Complementing the cre-driver resource, a collection comprising 27 rAAVs expressing cre in a tissue-specific manner has also been produced. All resources are easily accessible from the IKMC/IMPC web portal (www.mousephenotype.org). The IKMC/IMPC resource is a standardized reference library of mouse models with defined genetic backgrounds enabling the analysis of gene-disease associations in mice of different genetic makeup and should therefore have a major impact on biomedical research., The authors are supported by the EUCOMMTOOLS project which is funded by the European Commission [FP7-HEALTH-F4-2010-261492] and UM1-HG006370-06 (TFM, JW); the National Insitute of Health U54 HG006370 (TFM, DS and SDMB), U42 OD011185 (SAM), HG006364-03S1 (KCKL), and U42 OD011175 (CM and KCKL); NorCommTLS (MRI, Government of Ontario) and Genome Canada (OG-090) (LMJN, CM); the Manitoba Research Innovation Fund (GGH); Genome British Columbia AGCP-CanEuCre-01 award (EMS). National Centre for Scientific Research (CNRS), the French National Institute of Health and Medical Research (INSERM), the University of Strasbourg (UDS), the “Centre Européen de Recherche en Biologie et en Médecine” the French state funds through the “Agence Nationale de la Recherche”, Investissements d’Avenir labelled ANR-10-IDEX-0002-02, ANR-10-LABX-0030-INRT, ANR-10-INBS-07 PHENOMIN to YH.
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- 2016
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14. Generation and Use of Transgenic Mice in Drug Discovery
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Yann Herault, Véronique Brault, Tania Sorg, and Guillaume Pavlovic
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Genetics ,Genetically modified mouse ,Drug discovery ,Cellular pathways ,Mutagenesis (molecular biology technique) ,Biology ,Phenotype - Published
- 2014
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15. Risk factor gene BIN1 induces late onset Alzheimer disease presymptomatic phenotypes in a BAC transgenic mouse model
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P. Dutar, Michel Simonneau, Yann Loe-Mie, Nathalie Bourg, S. Leveque Fort, Guillaume Dupuis, Brigitte Potier, Jean-Christophe Rain, Julia Viard, Marie-Christine Birling, Yann Herault, Aude-Marie Lepagnol-Bestel, Guillaume Pavlovic, Valerie Hindie, Jocelyn Laporte, Maxime Sartori, Rachel Daudin, and Damien Marechal
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Pharmacology ,Genetics ,Psychiatry and Mental health ,Bac transgenic ,Neurology ,Late Onset Alzheimer Disease ,Pharmacology (medical) ,Neurology (clinical) ,Risk factor ,Biology ,Gene ,Phenotype ,Biological Psychiatry - Published
- 2017
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16. Article
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Guillaume Pavlovic, Bernard Decaris, Frédéric Choulet, Gérard Guédon, Alexandre Toulmay, and Vincent Burrus
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0303 health sciences ,03 medical and health sciences ,Streptococcus thermophilus ,biology ,030306 microbiology ,Streptococcus salivarius subsp thermophilus ,Dairy industry ,biology.organism_classification ,Molecular biology ,Modular evolution ,030304 developmental biology ,Food Science ,Microbiology - Abstract
Structure et evolution d'une famille d'elements integratifs potentiellement conjugatifs ou mobilisables de Streptococcus thermophilus. Les elements integratifs conjugatifs (ICEs) s'excisent par recombinaison site-specifique sous forme circulaire, se transferent par conjugaison puis s'integrent dans la bacterie receptrice. L'element ICESt1 de Streptococcus thermophilus CNRZ368 (34,7 kb) s'integre et s'excise par recombinaison site-specifique. Par ailleurs, il code un systeme de conjugaison putatif apparente de facon lointaine a eelui de Tn916 d'Enterococcus faecalis et constitue donc un ICE putatif. Quatre elements apparentes a ICESt1 sont integres au meme site que lui chez sept souches de S. thermophilus. L'un des elements, ICESt3 est probablement un ICE. Les trois autres (CIMEs) deriveraient d'un ICE par deletion des modules de conjugaison et de recombinaison. Ces elements codent des fonctions non impliquees dans le transfert comme des systemes de restriction-modification. Chacun d'entre eux presente une structure chimerique resultant de l'acquisition de modules d'origines differentes. L'analyse de leur sequence indique qu'ils sont impliques dans des transferts horizontaux entre S. thermophilus et diverses especes de bacteries lactiques alimentaires ou pathogenes. ACIME308 a echange des modules de restriction-modification et de resistance aux ions Cd ++ avec des plasmides. CIME19258 a acquis un module de resistance aux ions Cd ++ par integration d'un ICE apparente a Tn916 dans un CIME. La recombinaison site-specifique entre un site interne d'ICESt1 de type attL et le site attR provoque l'excision de la partie droite d'ICESt1 qui constituerait elle-meme un ICE, ICESt2. ICESt1 serait ainsi apparu par accretion d'un CIME et d'ICESt2. CIME302, ICESt2 et ICESt3 seraient egalement apparus par accretion site-specifique d'ICEs et de CIMEs et/ou mobilisation de CIMEs par des ICEs. Un ICE s'integrerait par recombinaison site-specifique dans le site attR d'un CIME formant ainsi un element composite (CIME-ICE) par accretion. Celui-ci s'exciserait par recombinaison site-specifique puis se transfererait par conjugaison.
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- 2003
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17. Conjugative transposons: the tip of the iceberg
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Vincent Burrus, Guillaume Pavlovic, Gérard Guédon, and Bernard Decaris
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Transposable element ,Genetics ,0303 health sciences ,030306 microbiology ,Integrases ,Biology ,Microbiology ,Genome ,Cell aggregation ,03 medical and health sciences ,chemistry.chemical_compound ,Plasmid ,chemistry ,Recombinase ,Molecular Biology ,Prophage ,DNA ,030304 developmental biology - Abstract
Elements that excise and integrate, such as prophages, and transfer by conjugation, such as plasmids, have been found in various bacteria. These elements appear to have a diversified set of characteristics including cell-to-cell contact using pili or cell aggregation, transfer of single-stranded or double-stranded DNA, low or high specificity of integration and serine or tyrosine recombinases. This has led to a highly heterogeneous nomenclature, including conjugative transposons, integrative 'plasmids', genomic islands and numerous unclassified elements. However, all these elements excise by site-specific recombination, transfer the resulting circular form by conjugation and integrate by recombination between a specific site of this circular form and a site in the genome of their host. Whereas replication of the circular form probably occurs during conjugation, this replication is not involved in the maintenance of the element. In this review, we show that these elements share very similar characteristics and, therefore, we propose to classify them as integrative and conjugative elements (ICEs). These elements evolve by acquisition or exchanges of modules with various transferable elements including at least ICEs and plasmids. The ICEs are probably widespread among the bacteria.
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- 2002
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18. Skin progenitor cells contribute to bleomycin-induced skin fibrosis
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Shangxi, Liu, Yann, Herault, Guillaume, Pavlovic, and Andrew, Leask
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Mice, Knockout ,Bleomycin ,Disease Models, Animal ,Mice ,Scleroderma, Limited ,SOXB1 Transcription Factors ,Stem Cells ,Animals ,Fibroblasts ,Fibrosis ,Actins ,Skin - Abstract
The origin of the cells that contribute to skin fibrosis is unclear. We undertook the present study to assess the contribution of Sox2-expressing skin progenitor cells to bleomycin-induced scleroderma.Scleroderma was induced, by bleomycin administration, in wild-type mice and in mice in which CCN2 was deleted from Sox2-expressing cells. Lineage tracing analysis was performed to assess whether cells expressing Sox2 are recruited to fibrotic lesions in response to bleomycin-induced scleroderma.In response to bleomycin, Sox2-positive/α-smooth muscle actin-positive cells were recruited to fibrotic tissue. CCN2-conditional knockout mice in which CCN2 was deleted from Sox2-expressing cells exhibited resistance to bleomycin-induced skin fibrosis. Collectively, these results indicate that CCN2 is required for the recruitment of progenitor cells and that CCN2-expressing progenitor cells are essential for bleomycin-induced skin fibrosis. Lineage tracing analysis using mice in which a tamoxifen-dependent Cre recombinase was expressed under the control of the Sox2 promoter confirmed that progenitor cells were recruited to the fibrotic lesion in response to bleomycin, and that this did not occur in CCN2-knockout mice. The ability of serum to induce α-smooth muscle actin expression in skin progenitor cells required the presence of CCN2.Sox2-positive skin progenitor cells are required in order for bleomycin-induced skin fibrosis to occur, and CCN2 is required for the recruitment of these cells to the fibrotic lesion. Targeting stem cell recruitment or CCN2 may therefore represent a useful therapeutic approach in combating fibrotic skin disease.
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- 2013
19. Evolution of genomic islands by deletion and tandem accretion by site-specific recombination: ICESt1-related elements from Streptococcus thermophilus
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Brigitte Gintz, Bernard Decaris, Vincent Burrus, Gérard Guédon, Guillaume Pavlovic, Laboratoire de génétique et microbiologie (LGM), Institut National de la Recherche Agronomique (INRA)-Université Henri Poincaré - Nancy 1 (UHP), and Tufts University School of Medicine [Boston]
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DNA, Bacterial ,Streptococcus thermophilus ,[SDV]Life Sciences [q-bio] ,Molecular Sequence Data ,RECOMBINATION ,Locus (genetics) ,Biology ,Microbiology ,Evolution, Molecular ,DNA TRANSPOSABLE ELEMENT ,03 medical and health sciences ,STREPTOCOCCUS THERMOPHILUS ,DNA Transposable Elements ,Base sequence ,Site-specific recombination ,INTEGRATIVE AND CONJUGATIVE ELEMENT ,CONJUGAISON ,ELEMENT MOBILISABLE ET INTEGRATIF ,030304 developmental biology ,ELEMENT CONJUGATIF ET INTEGRATIF ,Recombination, Genetic ,Genetics ,0303 health sciences ,Base Sequence ,Tandem ,030306 microbiology ,ICE ,Streptococcus ,Sequence Analysis, DNA ,Gene deletion ,biology.organism_classification ,SEQUENCE DATA ANALYSIS ,Conjugation, Genetic ,CIME ,Gene Deletion ,Genome, Bacterial ,Recombination - Abstract
The 34 734-bp integrative and potentially conjugative element (putative ICE) ICESt1 has been previously found to be site-specifically integrated in the 3′ end of the fda locus of Streptococcus thermophilus CNRZ368. Four types of genomic islands related to ICESt1 are integrated in the same position in seven other strains of S. thermophilus. One of these elements, ICESt3, harbours conjugation and recombination modules closely related to those of ICESt1 and excises by site-specific recombination. Two other types of elements, CIME19258 and CIME302, are flanked by site-specific attachment sites closely related to attL and attR of ICESt1 and ICESt3, whereas ΔCIME308 only possesses a putative attR site; none of these three elements carry complete conjugation and recombination modules. ICESt1 contains a functional internal recombination site, attL′, that is almost identical to attL of CIME19258. The recombination between attL′ and attR of ICESt1 leads to the excision of the expected circular molecule (putative ICE); a cis-mobilizable element (CIME) flanked by an attL site and an attB′ site remains integrated into the 3′ end of fda. Furthermore, sequences that could be truncated att sites were found within ICESt1, ICESt3 and CIME302. All together, these data suggest that these genomic islands evolved by deletion and tandem accretion of ICEs and CIMEs resulting from site-specific recombination. A model for this evolution is proposed and its application to other genomic islands is discussed.
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20. Human and mouse essentiality screens as a resource for disease gene discovery
- Author
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Cacheiro, Pilar, Muñoz-Fuentes, Violeta, Westerberg, Henrik, Scott, R. H., Siddiq, A., Sieghart, A., Smith, K. R., Sosinsky, A., Spooner, W., Stevens, H. E., Stuckey, A., Sultana, R., Thomas, E. R. A., Konopka, Tomasz, Thompson, S. R., Tregidgo, C., Tucci, A., Walsh, E., Watters, S. A., Welland, M. J., Williams, E., Witkowska, K., Wood, S. M., Zarowiecki, M., Hsu, Chih-Wei, Marschall, Susan, Lengger, Christoph, Maier, Holger, Seisenberger, Claudia, Bürger, Antje, Kühn, Ralf, Schick, Joel, Hörlein, Andreas, Oritz, Oskar, Giesert, Florian, Christiansen, Audrey, Beig, Joachim, Kenyon, Janet, Codner, Gemma, Fray, Martin, Johnson, Sara J, Cleak, James, Szoke-Kovacs, Zsombor, Lafont, David, Vancollie, Valerie E, McLaren, Robbie S B, Lanza, Denise G, Hughes-Hallett, Lena, Rowley, Christine, Sanderson, Emma, Galli, Antonella, Tuck, Elizabeth, Green, Angela, Tudor, Catherine, Siragher, Emma, Dabrowska, Monika, Mazzeo, Cecilia Icoresi, Beaudet, Arthur L, Griffiths, Mark, Gannon, David, Doe, Brendan, Cockle, Nicola, Kirton, Andrea, Bottomley, Joanna, Ingle, Catherine, Ryder, Edward, Gleeson, Diane, Ramirez-Solis, Ramiro, Heaney, Jason D, Birling, Marie-Christine, Pavlovic, Guillaume, Ayadi, Abdel, Hamid, Meziane, About, Ghina Bou, Champy, Marie-France, Jacobs, Hugues, Wendling, Olivia, Leblanc, Sophie, Vasseur, Laurent, Fuchs, Helmut, Chesler, Elissa J, Kumar, Vivek, White, Jacqueline K, Svenson, Karen L, Wiegand, Jean-Paul, Anderson, Laura L, Wilcox, Troy, Clark, James, Ryan, Jennifer, Denegre, James, Gailus-Durner, Valerie, Stearns, Tim, Philip, Vivek, Witmeyer, Catherine, Bates, Lindsay, Seavey, Zachary, Stanley, Pamela, Willet, Amelia, Roper, Willson, Creed, Julie, Moore, Michayla, Sorg, Tania, Dorr, Alex, Fraungruber, Pamelia, Presby, Rose, Mckay, Matthew, Nguyen-Bresinsky, Dong, Goodwin, Leslie, Urban, Rachel, Kane, Coleen, Murray, Stephen A, Prochazka, Jan, Novosadova, Vendula, Lelliott, Christopher J, Wardle-Jones, Hannah, Wells, Sara, Teboul, Lydia, Cater, Heather, Stewart, Michelle, Hough, Tertius, Wurst, Wolfgang, Dickinson, Mary E, Sedlacek, Radislav, Adams, David J, Seavitt, John R, Tocchini-Valentini, Glauco, Mammano, Fabio, Braun, Robert E, McKerlie, Colin, Herault, Yann, de Angelis, Martin Hrabě, Mallon, Ann-Marie, Bucan, Maja, Lloyd, K C Kent, Brown, Steve D M, Parkinson, Helen, Meehan, Terrence F, Smedley, Damian, Consortium, Genomics England Research, Consortium, International Mouse Phenotyping, Ambrose, J. C., Arumugam, P., Baple, E. L., Nutter, Lauryl M J, Bleda, M., Boardman-Pretty, F., Boissiere, J. M., Boustred, C. R., Brittain, H., Caulfield, M. J., Chan, G. C., Craig, C. E. H., Daugherty, L. C., de Burca, A., Peterson, Kevin A, Devereau, A., Elgar, G., Foulger, R. E., Fowler, T., Furió-Tarí, P., Hackett, J. M., Halai, D., Hamblin, A., Henderson, S., Holman, J. E., Haselimashhadi, Hamed, Hubbard, T. J. P., Ibáñez, K., Jackson, R., Jones, L. J., Kasperaviciute, D., Kayikci, M., Lahnstein, L., Lawson, K., Leigh, S. E. A., Leong, I. U. S., Flenniken, Ann M, Lopez, F. J., Maleady-Crowe, F., Mason, J., McDonagh, E. M., Moutsianas, L., Mueller, M., Murugaesu, N., Need, A. C., Odhams, C. A., Patch, C., Morgan, Hugh, Perez-Gil, D., Polychronopoulos, D., Pullinger, J., Rahim, T., Rendon, A., Riesgo-Ferreiro, P., Rogers, T., Ryten, M., Savage, K., Sawant, K., Cacheiro, Pilar [0000-0002-6335-8208], Muñoz-Fuentes, Violeta [0000-0003-3574-546X], Nutter, Lauryl MJ [0000-0001-9619-146X], Peterson, Kevin A [0000-0001-8353-3694], Haselimashhadi, Hamed [0000-0001-7334-2421], Konopka, Tomasz [0000-0003-3042-4712], Hsu, Chih-Wei [0000-0002-9591-9567], Lanza, Denise G [0000-0001-8750-6933], Heaney, Jason D [0000-0001-8475-8828], Fuchs, Helmut [0000-0002-5143-2677], Gailus-Durner, Valerie [0000-0002-6076-0111], Lelliott, Christopher J [0000-0001-8087-4530], Adams, David J [0000-0001-9490-0306], Mammano, Fabio [0000-0003-3751-1691], McKerlie, Colin [0000-0002-2232-0967], Herault, Yann [0000-0001-7049-6900], de Angelis, Martin Hrabě [0000-0002-7898-2353], Lloyd, KC Kent [0000-0002-5318-4144], Smedley, Damian [0000-0002-5836-9850], Apollo - University of Cambridge Repository, Queen Mary University of London (QMUL), European Bioinformatics Institute [Hinxton] (EMBL-EBI), EMBL Heidelberg, The Jackson Laboratory [Bar Harbor] (JAX), Baylor College of Medicine (BCM), Baylor University, University of Pennsylvania, The Hospital for sick children [Toronto] (SickKids), Mount Sinai Hospital [Toronto, Canada] (MSH), MRC Harwell Institute [UK], Helmholtz Zentrum München = German Research Center for Environmental Health, Institut Clinique de la Souris (ICS), Université de Strasbourg (UNISTRA)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), French National Infrastructure for Mouse Phenogenomics (PHENOMIN), Institute of Molecular Genetics of the Czech Academy of Sciences (IMG / CAS), Czech Academy of Sciences [Prague] (CAS), The Wellcome Trust Sanger Institute [Cambridge], Technische Universität München = Technical University of Munich (TUM), Ludwig-Maximilians-Universität München (LMU), CNR - Italian National Research Council (CNR), Institut de Génétique et de Biologie Moléculaire et Cellulaire (IGBMC), German Center for Diabetes Research - Deutsches Zentrum für Diabetesforschung [Neuherberg] (DZD), University of California [Davis] (UC Davis), University of California (UC), J C Ambrose, P Arumugam, E L Baple, M Bleda, F Boardman-Pretty, J M Boissiere, C R Boustred, H Brittain, M J Caulfield, G C Chan, C E H Craig, L C Daugherty, A de Burca, A Devereau, G Elgar, R E Foulger, T Fowler, P Furió-Tarí, J M Hackett, D Halai, A Hamblin, S Henderson, J E Holman, T J P Hubbard, K Ibáñez, R Jackson, L J Jones, D Kasperaviciute, M Kayikci, L Lahnstein, K Lawson, S E A Leigh, I U S Leong, F J Lopez, F Maleady-Crowe, J Mason, E M McDonagh, L Moutsianas, M Mueller, N Murugaesu, A C Need, C A Odhams, C Patch, D Perez-Gil, D Polychronopoulos, J Pullinger, T Rahim, A Rendon, P Riesgo-Ferreiro, T Rogers, M Ryten, K Savage, K Sawant, R H Scott, A Siddiq, A Sieghart, K R Smith, A Sosinsky, W Spooner, H E Stevens, A Stuckey, R Sultana, E R A Thomas, S R Thompson, C Tregidgo, A Tucci, E Walsh, S A Watters, M J Welland, E Williams, K Witkowska, S M Wood, M Zarowiecki, Susan Marschall, Christoph Lengger, Holger Maier, Claudia Seisenberger, Antje Bürger, Ralf Kühn, Joel Schick, Andreas Hörlein, Oskar Oritz, Florian Giesert, Joachim Beig, Janet Kenyon, Gemma Codner, Martin Fray, Sara J Johnson, James Cleak, Zsombor Szoke-Kovacs, David Lafont, Valerie E Vancollie, Robbie S B McLaren, Lena Hughes-Hallett, Christine Rowley, Emma Sanderson, Antonella Galli, Elizabeth Tuck, Angela Green, Catherine Tudor, Emma Siragher, Monika Dabrowska, Cecilia Icoresi Mazzeo, Mark Griffiths, David Gannon, Brendan Doe, Nicola Cockle, Andrea Kirton, Joanna Bottomley, Catherine Ingle, Edward Ryder, Diane Gleeson, Ramiro Ramirez-Solis, Marie-Christine Birling, Guillaume Pavlovic, Abdel Ayadi, Meziane Hamid, Ghina Bou About, Marie-France Champy, Hugues Jacobs, Olivia Wendling, Sophie Leblanc, Laurent Vasseur, Elissa J Chesler, Vivek Kumar, Jacqueline K White, Karen L Svenson, Jean-Paul Wiegand, Laura L Anderson, Troy Wilcox, James Clark, Jennifer Ryan, James Denegre, Tim Stearns, Vivek Philip, Catherine Witmeyer, Lindsay Bates, Zachary Seavey, Pamela Stanley, Amelia Willet, Willson Roper, Julie Creed, Michayla Moore, Alex Dorr, Pamelia Fraungruber, Rose Presby, Matthew Mckay, Dong Nguyen-Bresinsky, Leslie Goodwin, Rachel Urban, Coleen Kane, Herault, Yann, and Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Université de Strasbourg (UNISTRA)
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0301 basic medicine ,Mutation rate ,Cancer Research ,[SDV]Life Sciences [q-bio] ,General Physics and Astronomy ,methods [Genetic Association Studies] ,Disease ,VARIANTS ,Mice ,Essential ,0302 clinical medicine ,IMPC ,Genetics research ,Lethal allele ,2.1 Biological and endogenous factors ,Aetiology ,lcsh:Science ,Organism ,ComputingMilieux_MISCELLANEOUS ,Disease gene ,Mice, Knockout ,0303 health sciences ,Multidisciplinary ,Genes, Essential ,genetics [Disease] ,Genomics ,R/BIOCONDUCTOR PACKAGE ,DATABASE ,UPDATE ,GENOME ,[SDV] Life Sciences [q-bio] ,Knockout mouse ,Identification (biology) ,ddc:500 ,International Mouse Phenotyping Consortium ,Technology Platforms ,Biotechnology ,Knockout ,Science ,Computational biology ,Biology ,General Biochemistry, Genetics and Molecular Biology ,Article ,03 medical and health sciences ,Genetics ,medicine ,Animals ,Humans ,Genetic variation ,Clinical genetics ,Gene ,Genetic Association Studies ,030304 developmental biology ,Disease model ,Prevention ,Human Genome ,General Chemistry ,medicine.disease ,Developmental disorder ,Good Health and Well Being ,030104 developmental biology ,Genomics England Research Consortium ,Genes ,lcsh:Q ,Generic health relevance ,030217 neurology & neurosurgery ,Rare disease - Abstract
The identification of causal variants in sequencing studies remains a considerable challenge that can be partially addressed by new gene-specific knowledge. Here, we integrate measures of how essential a gene is to supporting life, as inferred from viability and phenotyping screens performed on knockout mice by the International Mouse Phenotyping Consortium and essentiality screens carried out on human cell lines. We propose a cross-species gene classification across the Full Spectrum of Intolerance to Loss-of-function (FUSIL) and demonstrate that genes in five mutually exclusive FUSIL categories have differing biological properties. Most notably, Mendelian disease genes, particularly those associated with developmental disorders, are highly overrepresented among genes non-essential for cell survival but required for organism development. After screening developmental disorder cases from three independent disease sequencing consortia, we identify potentially pathogenic variants in genes not previously associated with rare diseases. We therefore propose FUSIL as an efficient approach for disease gene discovery., Discovery of causal variants for monogenic disorders has been facilitated by whole exome and genome sequencing, but does not provide a diagnosis for all patients. Here, the authors propose a Full Spectrum of Intolerance to Loss-of-Function (FUSIL) categorization that integrates gene essentiality information to aid disease gene discovery.
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- 2020
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