Insights Into Diphthamide, Key Diphtheria Toxin Effector
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Kids First Pediatric Research Program (Kids First) Poster Session at ASHG Accelerating Pediatric Genomics Research Through Collaboration October 15Th, 2019
The Gabriella Miller Kids First Pediatric Research Program (Kids First) Poster Session at ASHG Accelerating Pediatric Genomics Research through Collaboration October 15th, 2019 Background The Gabriella Miller Kids First Pediatric Research Program (Kids First) is a trans- NIH Common Fund program initiated in response to the 2014 Gabriella Miller Kids First Research Act. The program’s vision is to alleviate suffering from childhood cancer and structural birth defects by fostering collaborative research to uncover the etiology of these diseases and support data sharing within the pediatric research community. This is implemented through developing the Gabriella Miller Kids First Data Resource (Kids First Data Resource) and populating this resource with whole genome sequence datasets and associated clinical and phenotypic information. Both childhood cancers and structural birth defects are critical and costly conditions associated with substantial morbidity and mortality. Elucidating the underlying genetic etiology of these diseases has the potential to profoundly improve preventative measures, diagnostics, and therapeutic interventions. Purpose During this evening poster session, attendees will gain a broad understanding of the utility of the genomic data generated by Kids First, learn about the progress of Kids First X01 cohort projects, and observe demonstrations of the tools and functionalities of the recently launched Kids First Data Resource Portal. The session is an opportunity for the scientific community and public to engage with Kids First investigators, collaborators, and a growing community of researchers, patient foundations, and families. Several other NIH and external data efforts will present posters and be available to discuss collaboration opportunities as we work together to accelerate pediatric research. -
The Genomic Landscape of Pancreatic and Periampullary Adenocarcinoma Vandana Sandhu1,2, David C
Published OnlineFirst August 3, 2016; DOI: 10.1158/0008-5472.CAN-16-0658 Cancer Molecular and Cellular Pathobiology Research The Genomic Landscape of Pancreatic and Periampullary Adenocarcinoma Vandana Sandhu1,2, David C. Wedge3,4, Inger Marie Bowitz Lothe1,5, Knut Jørgen Labori6, Stefan C. Dentro3,4,Trond Buanes6,7, Martina L. Skrede1, Astrid M. Dalsgaard1, Else Munthe8, Ola Myklebost8, Ole Christian Lingjærde9, Anne-Lise Børresen-Dale1,7, Tone Ikdahl10,11, Peter Van Loo12,13, Silje Nord1, and Elin H. Kure1,2 Abstract Despite advances in diagnostics, less than 5% of patients with and Wnt signaling. By integrating genomics and transcrip- periampullary tumors experience an overall survival of five years tomics data from the same patients, we identified CCNE1 and or more. Periampullary tumors are neoplasms that arise in the ERBB2 as candidate driver genes. Morphologic subtypes of vicinity of the ampulla of Vater, an enlargement of liver and periampullary adenocarcinomas (i.e., pancreatobiliary or intes- pancreas ducts where they join and enter the small intestine. In tinal) harbor many common genomic aberrations. However, this study, we analyzed copy number aberrations using Affymetrix gain of 13q and 3q, and deletions of 5q were found specificto SNP 6.0 arrays in 60 periampullary adenocarcinomas from Oslo the intestinal subtype. Our study also implicated the use of the University Hospital to identify genome-wide copy number aber- PAM50 classifier in identifying a subgroup of patients with a rations, putative driver genes, deregulated pathways, and poten- high proliferation rate, which had impaired survival. Further- tial prognostic markers. Results were validated in a separate cohort more, gain of 18p11 (18p11.21-23, 18p11.31-32) and 19q13 derived from The Cancer Genome Atlas Consortium (n ¼ 127). -
Building the Vertebrate Codex Using the Gene Breaking Protein Trap Library
Genetics, Development and Cell Biology Publications Genetics, Development and Cell Biology 2020 Building the vertebrate codex using the gene breaking protein trap library Noriko Ichino Mayo Clinic Gaurav K. Varshney National Institutes of Health Ying Wang Iowa State University Hsin-kai Liao Iowa State University Maura McGrail Iowa State University, [email protected] See next page for additional authors Follow this and additional works at: https://lib.dr.iastate.edu/gdcb_las_pubs Part of the Molecular Genetics Commons, and the Research Methods in Life Sciences Commons The complete bibliographic information for this item can be found at https://lib.dr.iastate.edu/ gdcb_las_pubs/261. For information on how to cite this item, please visit http://lib.dr.iastate.edu/howtocite.html. This Article is brought to you for free and open access by the Genetics, Development and Cell Biology at Iowa State University Digital Repository. It has been accepted for inclusion in Genetics, Development and Cell Biology Publications by an authorized administrator of Iowa State University Digital Repository. For more information, please contact [email protected]. Building the vertebrate codex using the gene breaking protein trap library Abstract One key bottleneck in understanding the human genome is the relative under-characterization of 90% of protein coding regions. We report a collection of 1200 transgenic zebrafish strains made with the gene- break transposon (GBT) protein trap to simultaneously report and reversibly knockdown the tagged genes. Protein trap-associated mRFP expression shows previously undocumented expression of 35% and 90% of cloned genes at 2 and 4 days post-fertilization, respectively. Further, investigated alleles regularly show 99% gene-specific mRNA knockdown. -
Variation in Protein Coding Genes Identifies Information
bioRxiv preprint doi: https://doi.org/10.1101/679456; this version posted June 21, 2019. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under aCC-BY-NC-ND 4.0 International license. Animal complexity and information flow 1 1 2 3 4 5 Variation in protein coding genes identifies information flow as a contributor to 6 animal complexity 7 8 Jack Dean, Daniela Lopes Cardoso and Colin Sharpe* 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 Institute of Biological and Biomedical Sciences 25 School of Biological Science 26 University of Portsmouth, 27 Portsmouth, UK 28 PO16 7YH 29 30 * Author for correspondence 31 [email protected] 32 33 Orcid numbers: 34 DLC: 0000-0003-2683-1745 35 CS: 0000-0002-5022-0840 36 37 38 39 40 41 42 43 44 45 46 47 48 49 Abstract bioRxiv preprint doi: https://doi.org/10.1101/679456; this version posted June 21, 2019. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under aCC-BY-NC-ND 4.0 International license. Animal complexity and information flow 2 1 Across the metazoans there is a trend towards greater organismal complexity. How 2 complexity is generated, however, is uncertain. Since C.elegans and humans have 3 approximately the same number of genes, the explanation will depend on how genes are 4 used, rather than their absolute number. -
Supplementary Materials
Supplementary materials Supplementary Table S1: MGNC compound library Ingredien Molecule Caco- Mol ID MW AlogP OB (%) BBB DL FASA- HL t Name Name 2 shengdi MOL012254 campesterol 400.8 7.63 37.58 1.34 0.98 0.7 0.21 20.2 shengdi MOL000519 coniferin 314.4 3.16 31.11 0.42 -0.2 0.3 0.27 74.6 beta- shengdi MOL000359 414.8 8.08 36.91 1.32 0.99 0.8 0.23 20.2 sitosterol pachymic shengdi MOL000289 528.9 6.54 33.63 0.1 -0.6 0.8 0 9.27 acid Poricoic acid shengdi MOL000291 484.7 5.64 30.52 -0.08 -0.9 0.8 0 8.67 B Chrysanthem shengdi MOL004492 585 8.24 38.72 0.51 -1 0.6 0.3 17.5 axanthin 20- shengdi MOL011455 Hexadecano 418.6 1.91 32.7 -0.24 -0.4 0.7 0.29 104 ylingenol huanglian MOL001454 berberine 336.4 3.45 36.86 1.24 0.57 0.8 0.19 6.57 huanglian MOL013352 Obacunone 454.6 2.68 43.29 0.01 -0.4 0.8 0.31 -13 huanglian MOL002894 berberrubine 322.4 3.2 35.74 1.07 0.17 0.7 0.24 6.46 huanglian MOL002897 epiberberine 336.4 3.45 43.09 1.17 0.4 0.8 0.19 6.1 huanglian MOL002903 (R)-Canadine 339.4 3.4 55.37 1.04 0.57 0.8 0.2 6.41 huanglian MOL002904 Berlambine 351.4 2.49 36.68 0.97 0.17 0.8 0.28 7.33 Corchorosid huanglian MOL002907 404.6 1.34 105 -0.91 -1.3 0.8 0.29 6.68 e A_qt Magnogrand huanglian MOL000622 266.4 1.18 63.71 0.02 -0.2 0.2 0.3 3.17 iolide huanglian MOL000762 Palmidin A 510.5 4.52 35.36 -0.38 -1.5 0.7 0.39 33.2 huanglian MOL000785 palmatine 352.4 3.65 64.6 1.33 0.37 0.7 0.13 2.25 huanglian MOL000098 quercetin 302.3 1.5 46.43 0.05 -0.8 0.3 0.38 14.4 huanglian MOL001458 coptisine 320.3 3.25 30.67 1.21 0.32 0.9 0.26 9.33 huanglian MOL002668 Worenine -
Novel and Highly Recurrent Chromosomal Alterations in Se´Zary Syndrome
Research Article Novel and Highly Recurrent Chromosomal Alterations in Se´zary Syndrome Maarten H. Vermeer,1 Remco van Doorn,1 Remco Dijkman,1 Xin Mao,3 Sean Whittaker,3 Pieter C. van Voorst Vader,4 Marie-Jeanne P. Gerritsen,5 Marie-Louise Geerts,6 Sylke Gellrich,7 Ola So¨derberg,8 Karl-Johan Leuchowius,8 Ulf Landegren,8 Jacoba J. Out-Luiting,1 Jeroen Knijnenburg,2 Marije IJszenga,2 Karoly Szuhai,2 Rein Willemze,1 and Cornelis P. Tensen1 Departments of 1Dermatology and 2Molecular Cell Biology, Leiden University Medical Center, Leiden, the Netherlands; 3Department of Dermatology, St Thomas’ Hospital, King’s College, London, United Kingdom; 4Department of Dermatology, University Medical Center Groningen, Groningen, the Netherlands; 5Department of Dermatology, Radboud University Nijmegen Medical Center, Nijmegen, the Netherlands; 6Department of Dermatology, Gent University Hospital, Gent, Belgium; 7Department of Dermatology, Charite, Berlin, Germany; and 8Department of Genetics and Pathology, Rudbeck Laboratory, University of Uppsala, Uppsala, Sweden Abstract Introduction This study was designed to identify highly recurrent genetic Se´zary syndrome (Sz) is an aggressive type of cutaneous T-cell alterations typical of Se´zary syndrome (Sz), an aggressive lymphoma/leukemia of skin-homing, CD4+ memory T cells and is cutaneous T-cell lymphoma/leukemia, possibly revealing characterized by erythroderma, generalized lymphadenopathy, and pathogenetic mechanisms and novel therapeutic targets. the presence of neoplastic T cells (Se´zary cells) in the skin, lymph High-resolution array-based comparative genomic hybridiza- nodes, and peripheral blood (1). Sz has a poor prognosis, with a tion was done on malignant T cells from 20 patients. disease-specific 5-year survival of f24% (1). -
A Genome-Wide Screen in Mice to Identify Cell-Extrinsic Regulators of Pulmonary Metastatic Colonisation
FEATURED ARTICLE MUTANT SCREEN REPORT A Genome-Wide Screen in Mice To Identify Cell-Extrinsic Regulators of Pulmonary Metastatic Colonisation Louise van der Weyden,1 Agnieszka Swiatkowska, Vivek Iyer, Anneliese O. Speak, and David J. Adams Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridge, CB10 1SA, United Kingdom ORCID IDs: 0000-0002-0645-1879 (L.v.d.W.); 0000-0003-4890-4685 (A.O.S.); 0000-0001-9490-0306 (D.J.A.) ABSTRACT Metastatic colonization, whereby a disseminated tumor cell is able to survive and proliferate at a KEYWORDS secondary site, involves both tumor cell-intrinsic and -extrinsic factors. To identify tumor cell-extrinsic metastasis (microenvironmental) factors that regulate the ability of metastatic tumor cells to effectively colonize a metastatic tissue, we performed a genome-wide screen utilizing the experimental metastasis assay on mutant mice. colonisation Mutant and wildtype (control) mice were tail vein-dosed with murine metastatic melanoma B16-F10 cells and microenvironment 10 days later the number of pulmonary metastatic colonies were counted. Of the 1,300 genes/genetic B16-F10 locations (1,344 alleles) assessed in the screen 34 genes were determined to significantly regulate pulmonary lung metastatic colonization (15 increased and 19 decreased; P , 0.005 and genotype effect ,-55 or .+55). mutant While several of these genes have known roles in immune system regulation (Bach2, Cyba, Cybb, Cybc1, Id2, mouse Igh-6, Irf1, Irf7, Ncf1, Ncf2, Ncf4 and Pik3cg) most are involved in a disparate range of biological processes, ranging from ubiquitination (Herc1) to diphthamide synthesis (Dph6) to Rho GTPase-activation (Arhgap30 and Fgd4), with no previous reports of a role in the regulation of metastasis. -
Identification of Functionally Related Enzymes by Learning-To-Rank Methods
Identification of functionally related enzymes by learning-to-rank methods Michiel Stock, Thomas Fober, Eyke H¨ullermeier,Serghei Glinca, Gerhard Klebe, Tapio Pahikkala, Antti Airola, Bernard De Baets, Willem Waegeman ∗ Abstract Enzyme sequences and structures are routinely used in the biological sciences as queries to search for func- tionally related enzymes in online databases. To this end, one usually departs from some notion of similarity, comparing two enzymes by looking for correspondences in their sequences, structures or surfaces. For a given query, the search operation results in a ranking of the enzymes in the database, from very similar to dissimilar enzymes, while information about the biological function of annotated database enzymes is ignored. In this work we show that rankings of that kind can be substantially improved by applying kernel-based learning algorithms. This approach enables the detection of statistical dependencies between similarities of the active cleft and the biological function of annotated enzymes. This is in contrast to search-based approaches, which do not take annotated training data into account. Similarity measures based on the active cleft are known to outperform sequence-based or structure-based measures under certain conditions. We consider the Enzyme Commission (EC) classification hierarchy for obtaining annotated enzymes during the training phase. The results of a set of sizeable experiments indicate a consistent and significant improvement for a set of similarity measures that exploit information about small cavities in the surface of enzymes. 1 Introduction Modern high-throughput technologies in molecular biology are generating more and more protein sequences and ter- tiary structures, of which only a small fraction can ever be experimentally annotated w.r.t. -
Supplementary Material Toxicological Impacts and Likely Protein Targets Of
Supplementary Material Toxicological impacts and likely protein targets of bisphenol A in Paramecium caudatum Marcus V. X. Senra† & Ana Lúcia Fonseca Instituto de Recursos Naturais, Universidade Federal de Itajubá, 37500-903, Itajubá, Minas Gerais – Brazil †To whom correspondence should be addressed – [email protected]; Orcid - 0000-0002-3866- 8837 Table S1. Annotation data on the P. caudatum 3D modelled proteins and their binding energies to BPA. BINDING ID DESCRIPTION CHROMOSOME NT_START NT_END ENERGIES (kcal/mol) PCAU.43c3d.1.P00010012 Tryptophan synthase beta subunit-like PLP-dependent enzyme scaffold_0001 23197 24853 -7.4 PCAU.43c3d.1.P00010015 Ribosomal protein L32e scaffold_0001 26373 26859 -6.2 PCAU.43c3d.1.P00010044 Catalase, mono-functional, haem-containing scaffold_0001 71821 73367 -6.5 PCAU.43c3d.1.P00010050 Dihydroorotate dehydrogenase, class 1/ 2 scaffold_0001 76614 79650 -6.6 PCAU.43c3d.1.P00010054 Serine/threonine/dual specificity protein kinase, catalytic domain scaffold_0001 83399 84653 -6.7 PCAU.43c3d.1.P00010070 Peptidyl-prolyl cis-trans isomerase, FKBP-type scaffold_0001 104909 105387 -5.9 PCAU.43c3d.1.P00010103 V-ATPase proteolipid subunit C-like domain scaffold_0001 168736 169346 -5.6 PCAU.43c3d.1.P00010112 DNA-directed RNA polymerase, RBP11-like dimerisation domain scaffold_0001 180310 181372 -6.0 PCAU.43c3d.1.P00010165 Vacuolar (H+)-ATPase G subunit scaffold_0001 252653 253112 -5.6 PCAU.43c3d.1.P00010176 Coproporphyrinogen III oxidase, aerobic scaffold_0001 262051 263168 -6.7 PCAU.43c3d.1.P00010205 Metalloenzyme, -
The Amidation Step of Diphthamide Biosynthesis in Yeast Requires DPH6, a Gene Identified Through Mining the DPH1-DPH5 Interaction Network
The Amidation Step of Diphthamide Biosynthesis in Yeast Requires DPH6, a Gene Identified through Mining the DPH1-DPH5 Interaction Network Shanow Uthman1., Christian Ba¨r1,2.¤, Viktor Scheidt2, Shihui Liu3, Sara ten Have4, Flaviano Giorgini1, Michael J. R. Stark4*, Raffael Schaffrath1,2* 1 Department of Genetics, University of Leicester, Leicester, United Kingdom, 2 Institut fu¨r Biologie, FG Mikrobiologie, Universita¨t Kassel, Kassel, Germany, 3 Laboratory of Parasitic Diseases, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, Maryland, United States of America, 4 Centre for Gene Regulation and Expression, College of Life Sciences, MSI/WTB Complex, University of Dundee, Dundee, Scotland Abstract Diphthamide is a highly modified histidine residue in eukaryal translation elongation factor 2 (eEF2) that is the target for irreversible ADP ribosylation by diphtheria toxin (DT). In Saccharomyces cerevisiae, the initial steps of diphthamide biosynthesis are well characterized and require the DPH1-DPH5 genes. However, the last pathway step—amidation of the intermediate diphthine to diphthamide—is ill-defined. Here we mine the genetic interaction landscapes of DPH1-DPH5 to identify a candidate gene for the elusive amidase (YLR143w/DPH6) and confirm involvement of a second gene (YBR246w/ DPH7) in the amidation step. Like dph1-dph5, dph6 and dph7 mutants maintain eEF2 forms that evade inhibition by DT and sordarin, a diphthamide-dependent antifungal. Moreover, mass spectrometry shows that dph6 and dph7 mutants specifically accumulate diphthine-modified eEF2, demonstrating failure to complete the final amidation step. Consistent with an expected requirement for ATP in diphthine amidation, Dph6 contains an essential adenine nucleotide hydrolase domain and binds to eEF2. -
Chromosome 17Q25 Genes, RHBDF2 and CYGB, in Ovarian Cancer
INTERNATIONAL JOURNAL OF ONCOLOGY 40: 1865-1880, 2012 Chromosome 17q25 genes, RHBDF2 and CYGB, in ovarian cancer PAULINA M. WOJNAROWICZ1, DIANE M. PROVENCHER2-4, ANNE-MARIE MES-MASSON2,5 and PATRICIA N. TONIN1,6,7 1Department of Human Genetics, McGill University; 2Research Centre of the University of Montreal Hospital Centre (CRCHUM)/Montreal Cancer Institute; 3Division of Gynecologic Oncology, University of Montreal; 4Department of Obstetrics and Gynecology, University of Montreal; 5Department of Medicine, University of Montreal; 6The Research Institute of the McGill University Health Centre; 7Department of Medicine, McGill University, Montreal, Quebec, Canada Received November 15, 2011; Accepted December 29, 2011 DOI: 10.3892/ijo.2012.1371 Abstract. It has been proposed that the frequent loss of Introduction heterozygosity (LOH) of an entire chromosome 17 contig in epithelial ovarian cancers (EOC) is the consequence of It is well established that loss of chromosome 17 is a common the inactivation of multiple tumour suppressor genes on this occurrence in epithelial ovarian cancers (EOCs), as suggested chromosome. We report the characterization of a 453 Kb 17q25 by karyotype and loss of heterozygosity (LOH) studies (1,2). locus shown previously to exhibit a high frequency of LOH This observation, together with complementation studies in EOC samples. LOH analysis further defined the minimal involving the transfer of chromosome 17 which resulted in region of deletion to a 65 Kb interval flanked by D17S2239 reduced tumourigenicity of an EOC cell line (3), suggest that and D17S2244, which contains RHBDF2, CYGB and PRCD as this chromosome harbours tumour suppressor genes (TSGs). tumour suppressor gene candidates. Tissue specific expression Chromosome 17 contains a number of very well characterized excluded PRCD as a candidate. -
Diphthamide Biosynthesis: Characterization and Mechanistic Studies of an Unconventional Radical Sam Enzyme Phdph2
DIPHTHAMIDE BIOSYNTHESIS: CHARACTERIZATION AND MECHANISTIC STUDIES OF AN UNCONVENTIONAL RADICAL SAM ENZYME PHDPH2 A Dissertation Presented to the Faculty of the Graduate School of Cornell University In Partial Fulfillment of the Requirements for the Degree of Doctor of Philosophy by Xuling Zhu January 2011 © 2011 Xuling Zhu DIPHTHAMIDE BIOSYNTHESIS: CHARACTERIZATION AND MECHANISTIC STUDIES OF AN UNCONVENTIONAL RADICAL SAM ENZYME PHDPH2 Xuling Zhu, Ph. D. Cornell University 2011 Diphthamide, the target of diphtheria toxin, is a unique posttranslational modification on eukaryotic and archaeal translation elongation factor 2 (EF2). The proposed biosynthesis of diphthamide involves three steps. The first step is the formation of a C-C bond between the histidine residue and the 3-amino-3- carboxylpropyl group of S-adenosylmethionine (SAM), which is catalyzed by four enzymes Dph1-Dph4 in eukaryotic or only one enzyme Dph2 in archaea; the second step is the trimethylation of the amino group by Dph5; and the last step is an ATP depended amidation of the carboxyl group by an unknown enzyme. We have recently found that in an archaeal species Pyrococcus horikoshii (P. horikoshii), the first step uses an S-adenosyl-L-methionine (SAM)-dependent [4Fe– 4S] enzyme, PhDph2, to catalyze the formation of a C–C bond. Crystal structure shows that PhDph2 is a homodimer and each monomer contains three conserved cysteine residues that can bind a [4Fe–4S] cluster. In the reduced state, the [4Fe–4S] cluster can provide one electron to reductively cleave the bound SAM molecule. However, different from classical radical SAM enzymes, biochemical evidence suggests that a 3-amino-3-carboxypropyl radical is generated in PhDph2.