Diphthamide-Deficiency Syndrome: a Novel Human Developmental
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Analysis of Gene Expression Data for Gene Ontology
ANALYSIS OF GENE EXPRESSION DATA FOR GENE ONTOLOGY BASED PROTEIN FUNCTION PREDICTION A Thesis Presented to The Graduate Faculty of The University of Akron In Partial Fulfillment of the Requirements for the Degree Master of Science Robert Daniel Macholan May 2011 ANALYSIS OF GENE EXPRESSION DATA FOR GENE ONTOLOGY BASED PROTEIN FUNCTION PREDICTION Robert Daniel Macholan Thesis Approved: Accepted: _______________________________ _______________________________ Advisor Department Chair Dr. Zhong-Hui Duan Dr. Chien-Chung Chan _______________________________ _______________________________ Committee Member Dean of the College Dr. Chien-Chung Chan Dr. Chand K. Midha _______________________________ _______________________________ Committee Member Dean of the Graduate School Dr. Yingcai Xiao Dr. George R. Newkome _______________________________ Date ii ABSTRACT A tremendous increase in genomic data has encouraged biologists to turn to bioinformatics in order to assist in its interpretation and processing. One of the present challenges that need to be overcome in order to understand this data more completely is the development of a reliable method to accurately predict the function of a protein from its genomic information. This study focuses on developing an effective algorithm for protein function prediction. The algorithm is based on proteins that have similar expression patterns. The similarity of the expression data is determined using a novel measure, the slope matrix. The slope matrix introduces a normalized method for the comparison of expression levels throughout a proteome. The algorithm is tested using real microarray gene expression data. Their functions are characterized using gene ontology annotations. The results of the case study indicate the protein function prediction algorithm developed is comparable to the prediction algorithms that are based on the annotations of homologous proteins. -
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. -
A Computational Approach for Defining a Signature of Β-Cell Golgi Stress in Diabetes Mellitus
Page 1 of 781 Diabetes A Computational Approach for Defining a Signature of β-Cell Golgi Stress in Diabetes Mellitus Robert N. Bone1,6,7, Olufunmilola Oyebamiji2, Sayali Talware2, Sharmila Selvaraj2, Preethi Krishnan3,6, Farooq Syed1,6,7, Huanmei Wu2, Carmella Evans-Molina 1,3,4,5,6,7,8* Departments of 1Pediatrics, 3Medicine, 4Anatomy, Cell Biology & Physiology, 5Biochemistry & Molecular Biology, the 6Center for Diabetes & Metabolic Diseases, and the 7Herman B. Wells Center for Pediatric Research, Indiana University School of Medicine, Indianapolis, IN 46202; 2Department of BioHealth Informatics, Indiana University-Purdue University Indianapolis, Indianapolis, IN, 46202; 8Roudebush VA Medical Center, Indianapolis, IN 46202. *Corresponding Author(s): Carmella Evans-Molina, MD, PhD ([email protected]) Indiana University School of Medicine, 635 Barnhill Drive, MS 2031A, Indianapolis, IN 46202, Telephone: (317) 274-4145, Fax (317) 274-4107 Running Title: Golgi Stress Response in Diabetes Word Count: 4358 Number of Figures: 6 Keywords: Golgi apparatus stress, Islets, β cell, Type 1 diabetes, Type 2 diabetes 1 Diabetes Publish Ahead of Print, published online August 20, 2020 Diabetes Page 2 of 781 ABSTRACT The Golgi apparatus (GA) is an important site of insulin processing and granule maturation, but whether GA organelle dysfunction and GA stress are present in the diabetic β-cell has not been tested. We utilized an informatics-based approach to develop a transcriptional signature of β-cell GA stress using existing RNA sequencing and microarray datasets generated using human islets from donors with diabetes and islets where type 1(T1D) and type 2 diabetes (T2D) had been modeled ex vivo. To narrow our results to GA-specific genes, we applied a filter set of 1,030 genes accepted as GA associated. -
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). -
Insights Into Diphthamide, Key Diphtheria Toxin Effector
Toxins 2013, 5, 958-968; doi:10.3390/toxins5050958 OPEN ACCESS toxins ISSN 2072-6651 www.mdpi.com/journal/toxins Brief Report Insights into Diphthamide, Key Diphtheria Toxin Effector Wael Abdel-Fattah 1,†, Viktor Scheidt 1,†, Shanow Uthman 2, Michael J. R. Stark 3 and Raffael Schaffrath 1,2,* 1 Institut für Biologie, FG Mikrobiologie, Universität Kassel, Kassel D-34132, Germany; E-Mails: [email protected] (W.A.-F.); [email protected] (V.S.) 2 Department of Genetics, University of Leicester, Leicester LE1 7RH, UK; E-Mail: [email protected] 3 Centre for Gene Regulation & Expression, University of Dundee, Dundee, DD1 5EH, Scotland; E-Mail: [email protected] † These authors contributed equally to this work. * Author to whom correspondence should be addressed; E-Mail: [email protected]; Tel.: +49-561-804-4175; Fax: +49-561-804-4337. Received: 14 March 2013; in revised form: 17 April 2013 / Accepted: 26 April 2013 / Published: 3 May 2013 Abstract: Diphtheria toxin (DT) inhibits eukaryotic translation elongation factor 2 (eEF2) by ADP-ribosylation in a fashion that requires diphthamide, a modified histidine residue on eEF2. In budding yeast, diphthamide formation involves seven genes, DPH1-DPH7. In an effort to further study diphthamide synthesis and interrelation among the Dph proteins, we found, by expression in E. coli and co-immune precipitation in yeast, that Dph1 and Dph2 interact and that they form a complex with Dph3. Protein-protein interaction mapping shows that Dph1-Dph3 complex formation can be dissected by progressive DPH1 gene truncations. This identifies N- and C-terminal domains on Dph1 that are crucial for diphthamide synthesis, DT action and cytotoxicity of sordarin, another microbial eEF2 inhibitor. -
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. -
Pathogenic Variants in the DEAH-Box RNA Helicase DHX37 Are a Frequent Cause of 46,XY Gonadal Dysgenesis and 46,XY Testicular Regression Syndrome
ARTICLE © American College of Medical Genetics and Genomics Pathogenic variants in the DEAH-box RNA helicase DHX37 are a frequent cause of 46,XY gonadal dysgenesis and 46,XY testicular regression syndrome Ken McElreavey, PhD 1, Anne Jorgensen, PhD 2, Caroline Eozenou, PhD1, Tiphanie Merel, MSc1, Joelle Bignon-Topalovic, BSc1, Daisylyn Senna Tan, BSc3, Denis Houzelstein, PhD 1, Federica Buonocore, PhD 4, Nick Warr, PhD 5, Raissa G. G. Kay, PhD5, Matthieu Peycelon, MD, PhD 6,7,8, Jean-Pierre Siffroi, MD, PhD6, Inas Mazen, MD9, John C. Achermann, MD, PhD 4, Yuliya Shcherbak, MD10, Juliane Leger, MD, PhD11, Agnes Sallai, MD 12, Jean-Claude Carel, MD, PhD 11, Laetitia Martinerie, MD, PhD11, Romain Le Ru, MD13, Gerard S. Conway, MD, PhD14, Brigitte Mignot, MD15, Lionel Van Maldergem, MD, PhD 16, Rita Bertalan, MD, PhD17, Evgenia Globa, MD, PhD 18, Raja Brauner, MD, PhD19, Ralf Jauch, PhD 3, Serge Nef, PhD 20, Andy Greenfield, PhD5 and Anu Bashamboo, PhD1 Purpose: XY individuals with disorders/differences of sex devel- specifically associated with gonadal dysgenesis and TRS. opment (DSD) are characterized by reduced androgenization Consistent with a role in early testis development, DHX37 is caused, in some children, by gonadal dysgenesis or testis regression expressed specifically in somatic cells of the developing human during fetal development. The genetic etiology for most patients and mouse testis. with 46,XY gonadal dysgenesis and for all patients with testicular Conclusion: DHX37 pathogenic variants are a new cause of an regression syndrome (TRS) is unknown. autosomal dominant form of 46,XY DSD, including gonadal Methods: We performed exome and/or Sanger sequencing in 145 dysgenesis and TRS, showing that these conditions are part of a individuals with 46,XY DSD of unknown etiology including clinical spectrum. -
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 -
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. -
Inferring Biological Networks from Genome-Wide Transcriptional And
INFERRING BIOLOGICAL NETWORKS FROM GENOME-WIDE TRANSCRIPTIONAL AND FITNESS DATA By WAZEER MOHAMMAD VARSALLY A thesis submitted to The University of Birmingham for the degree of Doctor of Philosophy College of Life and Environmental Sciences School of Biosciences The University of Birmingham July 2013 I University of Birmingham Research Archive e-theses repository This unpublished thesis/dissertation is copyright of the author and/or third parties. The intellectual property rights of the author or third parties in respect of this work are as defined by The Copyright Designs and Patents Act 1988 or as modified by any successor legislation. Any use made of information contained in this thesis/dissertation must be in accordance with that legislation and must be properly acknowledged. Further distribution or reproduction in any format is prohibited without the permission of the copyright holder. ABSTRACT In the last 15 years, the increased use of high throughput biology techniques such as genome-wide gene expression profiling, fitness profiling and protein interactomics has led to the generation of an extraordinary amount of data. The abundance of such diverse data has proven to be an essential foundation for understanding the complexities of molecular mechanisms and underlying pathways within a biological system. One approach of extrapolating biological information from this wealth of data has been through the use of reverse engineering methods to infer biological networks. This thesis demonstrates the capabilities and applications of such methodologies in identifying functionally enriched network modules in the yeast species Saccharomyces cerevisiae and Schizosaccharomyces pombe. This study marks the first time a mutual information based network inference approach has been applied to a set of specific genome-wide expression and fitness compendia, as well as the integration of these multi- level compendia. -
Number 9 September 2013
Atlas of Genetics and Cytogenetics in Oncology and Haematology OPEN ACCESS JOURNAL INIST -CNRS Volume 17 - Number 9 September 2013 The PDF version of the Atlas of Genetics and Cytogenetics in Oncology and Haematology is a reissue of the original articles published in collaboration with the Institute for Scientific and Technical Information (INstitut de l’Information Scientifique et Technique - INIST) of the French National Center for Scientific Research (CNRS) on its electronic publishing platform I-Revues. Online and PDF versions of the Atlas of Genetics and Cytogenetics in Oncology and Haematology are hosted by INIST-CNRS. Atlas of Genetics and Cytogenetics in Oncology and Haematology OPEN ACCESS JOURNAL INIST -CNRS Scope The Atlas of Genetics and Cytogenetics in Oncology and Haematology is a peer reviewed on-line journal in open access, devoted to genes, cytogenetics, and clinical entities in cancer, and cancer-prone diseases. It presents structured review articles ("cards") on genes, leukaemias, solid tumours, cancer-prone diseases, more traditional review articles on these and also on surrounding topics ("deep insights"), case reports in hematology, and educational items in the various related topics for students in Medicine and in Sciences. Editorial correspondance Jean-Loup Huret Genetics, Department of Medical Information, University Hospital F-86021 Poitiers, France tel +33 5 49 44 45 46 or +33 5 49 45 47 67 [email protected] or [email protected] Staff Mohammad Ahmad, Mélanie Arsaban, Marie-Christine Jacquemot-Perbal, Vanessa Le Berre, Anne Malo, Carol Moreau, Catherine Morel-Pair, Laurent Rassinoux, Alain Zasadzinski. Philippe Dessen is the Database Director, and Alain Bernheim the Chairman of the on-line version (Gustave Roussy Institute – Villejuif – France).