40 research outputs found

    PATRIC, the bacterial bioinformatics database and analysis resource

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    The Pathosystems Resource Integration Center (PATRIC) is the all-bacterial Bioinformatics Resource Center (BRC) (http://www.patricbrc.org). A joint effort by two of the original National Institute of Allergy and Infectious Diseases-funded BRCs, PATRIC provides researchers with an online resource that stores and integrates a variety of data types [e.g. genomics, transcriptomics, protein-protein interactions (PPIs), three-dimensional protein structures and sequence typing data] and associated metadata. Datatypes are summarized for individual genomes and across taxonomic levels. All genomes in PATRIC, currently more than 10 000, are consistently annotated using RAST, the Rapid Annotations using Subsystems Technology. Summaries of different data types are also provided for individual genes, where comparisons of different annotations are available, and also include available transcriptomic data. PATRIC provides a variety of ways for researchers to find data of interest and a private workspace where they can store both genomic and gene associations, and their own private data. Both private and public data can be analyzed together using a suite of tools to perform comparative genomic or transcriptomic analysis. PATRIC also includes integrated information related to disease and PPIs. All the data and integrated analysis and visualization tools are freely available. This manuscript describes updates to the PATRIC since its initial report in the 2007 NAR Database Issu

    Patient and stakeholder engagement learnings: PREP-IT as a case study

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    Correction to: Cluster identification, selection, and description in Cluster randomized crossover trials: the PREP-IT trials

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    An amendment to this paper has been published and can be accessed via the original article

    Bi-allelic Loss-of-Function CACNA1B Mutations in Progressive Epilepsy-Dyskinesia.

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    The occurrence of non-epileptic hyperkinetic movements in the context of developmental epileptic encephalopathies is an increasingly recognized phenomenon. Identification of causative mutations provides an important insight into common pathogenic mechanisms that cause both seizures and abnormal motor control. We report bi-allelic loss-of-function CACNA1B variants in six children from three unrelated families whose affected members present with a complex and progressive neurological syndrome. All affected individuals presented with epileptic encephalopathy, severe neurodevelopmental delay (often with regression), and a hyperkinetic movement disorder. Additional neurological features included postnatal microcephaly and hypotonia. Five children died in childhood or adolescence (mean age of death: 9 years), mainly as a result of secondary respiratory complications. CACNA1B encodes the pore-forming subunit of the pre-synaptic neuronal voltage-gated calcium channel Cav2.2/N-type, crucial for SNARE-mediated neurotransmission, particularly in the early postnatal period. Bi-allelic loss-of-function variants in CACNA1B are predicted to cause disruption of Ca2+ influx, leading to impaired synaptic neurotransmission. The resultant effect on neuronal function is likely to be important in the development of involuntary movements and epilepsy. Overall, our findings provide further evidence for the key role of Cav2.2 in normal human neurodevelopment.MAK is funded by an NIHR Research Professorship and receives funding from the Wellcome Trust, Great Ormond Street Children's Hospital Charity, and Rosetrees Trust. E.M. received funding from the Rosetrees Trust (CD-A53) and Great Ormond Street Hospital Children's Charity. K.G. received funding from Temple Street Foundation. A.M. is funded by Great Ormond Street Hospital, the National Institute for Health Research (NIHR), and Biomedical Research Centre. F.L.R. and D.G. are funded by Cambridge Biomedical Research Centre. K.C. and A.S.J. are funded by NIHR Bioresource for Rare Diseases. The DDD Study presents independent research commissioned by the Health Innovation Challenge Fund (grant number HICF-1009-003), a parallel funding partnership between the Wellcome Trust and the Department of Health, and the Wellcome Trust Sanger Institute (grant number WT098051). We acknowledge support from the UK Department of Health via the NIHR comprehensive Biomedical Research Centre award to Guy's and St. Thomas' National Health Service (NHS) Foundation Trust in partnership with King's College London. This research was also supported by the NIHR Great Ormond Street Hospital Biomedical Research Centre. J.H.C. is in receipt of an NIHR Senior Investigator Award. The research team acknowledges the support of the NIHR through the Comprehensive Clinical Research Network. The views expressed are those of the author(s) and not necessarily those of the NHS, the NIHR, Department of Health, or Wellcome Trust. E.R.M. acknowledges support from NIHR Cambridge Biomedical Research Centre, an NIHR Senior Investigator Award, and the University of Cambridge has received salary support in respect of E.R.M. from the NHS in the East of England through the Clinical Academic Reserve. I.E.S. is supported by the National Health and Medical Research Council of Australia (Program Grant and Practitioner Fellowship)

    The Paternal-Age Effect in Apert Syndrome Is Due, in Part, to the Increased Frequency of Mutations in Sperm

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    A paternal-age effect and the exclusive paternal origin of mutations have been reported in Apert syndrome (AS). As the incidence of sporadic AS births increases exponentially with paternal age, we hypothesized that the frequency of AS mutations in sperm would also increase. To determine the frequency of two common FGFR2 mutations in AS, we developed allele-specific peptide nucleic acid–PCR assays. Analyzing sperm DNA from 148 men, age 21–80 years, we showed that the number of sperm with mutations increased in the oldest age groups among men who did not have a child with AS. These older men were also more likely to have both mutations in their sperm. However, this age-related increase in mutation frequency was not sufficient to explain the AS-birth frequency. In contrast, the mutation frequency observed in men who were younger and had children with AS was significantly greater. In addition, our data suggest selection for sperm with specific mutations. Therefore, contributing factors to the paternal-age effect may include selection and a higher number of mutant sperm in a subset of men ascertained because they had a child with AS. No age-related increase in the frequency of these mutations was observed in leukocytes. Selection and/or quality-control mechanisms, including DNA repair and apoptosis, may contribute to the cell-type differences in mutation frequency

    The Paternal-Age Effect in Apert Syndrome Is Due, in Part, to the Increased Frequency of Mutations in Sperm

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    t of men ascertained because they had a child with AS. No age-related increase in the frequency of these mutations was observed in leukocytes. Selection and/or quality-control mechanisms, including DNA repair and apoptosis, may contribute to the cell-type differences in mutation frequency. Much has been written about the "mutagenic male" (Hurst and Ellegren 2002) and the higher male-to-female mutation rate in many genetic disorders (Vogel and Rathenberg 1975; Crow 2000). Conventional wisdom says that the greater number of germ-cell divisions in males compared with females contributes to the higher mutation frequency in males (Penrose 1955), which manifests as an increased incidence with paternal age of de novo cases of disorders, as well as paternally derived mutations (Moloney et al. 1996; Shuffenecker et al. 1997; Wilkin et al. 1998; Glaser et al. 2000). However, the linear increase with age in the number of divisions does not fully explain the exponential increase with paternal ag

    The structure of the APPBP1-UBA3-NEDD8-ATP complex reveals the basis for selective ubiquitin-like protein activation by an E1

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    E1 enzymes initiate ubiquitin-like protein (ubl) transfer cascades by catalyzing adenylation of the ubl's C terminus. An E1's selectivity for its cognate ubl is essential because the E1 subsequently coordinates the ubl with its correct downstream pathway. We report here the structure of the 120 kDa quaternary complex between human APPBP1-UBA3, a heterodimeric E1, its ubl NEDD8, and ATP. The E1 selectively recruits NEDD8 through a bipartite interface, involving a domain common to all ubl activating enzymes including bacterial ancestors, and also eukaryotic E1-specific sequences. By modeling ubiquitin into the NEDD8 binding site and performing mutational analysis, we identify a single conserved arginine in APPBP1-UBA3 that acts as a selectivity gate, preventing misactivation of ubiquitin by NEDD8's E1. NEDD8 residues that interact with E1 correspond to residues in ubiquitin important for binding the proteasome and other ubiquitin-interacting proteins, suggesting that the conjugation and recognition machineries have coevolved for each specific ubl

    Departments of Biochemistry and Biophysics and

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    E1 enzymes initiate ubiquitin-like protein (ubl) transfer cascades by catalyzing adenylation of the ubl’s C ter-minus. An E1’s selectivity for its cognate ubl is essential because the E1 subsequently coordinates the ubl with its correct downstream pathway. We report here the structure of the 120 kDa quaternary complex between human APPBP1-UBA3, a heterodimeric E1, its ubl NEDD8, and ATP. The E1 selectively recruits NEDD8 through a bipartite interface, involving a domain common to all ubl activating enzymes including bacterial ancestors, and also eukaryotic E1-specific sequences. By modeling ubiquitin into the NEDD8 binding site and performing mutational analysis, we identify a single conserved arginine in APPBP1-UBA3 that acts as a selectivity gate, preventing misactivation of ubiquitin by NEDD8’s E1. NEDD8 residues that inter-act with E1 correspond to residues in ubiquitin impor-tant for binding the proteasome and other ubiquitin-interacting proteins, suggesting that the conjugation and recognition machineries have coevolved for each specific ubl
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