E-One Mapping and Medical Genetics
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The Genetical Society of Great Britain
Heredity 59 (1987) 151—160 The Genetical Society of Great Britain THEGENETICAL SOCIETY (Abstracts of papers presented at the TVVO HUNDRED AND FIFTH MEETING of the Society held on Friday, 14th and Saturday, 15th November 1986 at UNIVERSITY COLLEGE, LONDON) 1. Selection of somatic cell D. J. Porteous, P. A. Boyd, N. D. Hastie and hybrids with specific chromosome V. van Heyningen content for mapping the WAGR MAC Clinical and Population Cytogenetics Unit, Western General Hospital, Crewe Road, syndrome Edinburgh EH4 2XU. J. M. Fletcher, H. Morrison, J. A. Fantes, Clonedprobes for a number of available chromo- A. Seawright, S. Christie, D. J. Porteous, some ii assigned genes were used to define the N. D. Hastie and V. van Heyningen extent of deletions associated with the Wilms' MAC Clinical and Population Cytogenetics Unit, tumour, aniridia, genitourinary abnormalities and Western General Hospital, Crewe Road, mental retardation (WAGR) syndrome. Establish- Edinburgh EH4 2XU. ing reliable dosage studies for a number of different probes has proved difficult. We have therefore WAGR(Wilms tumour, aniridia, genitourinary abnormalities and mental retardation) syndrome concentrated on segregating the deleted chromo- is frequently associated with deletions on the short some 11 from a number of patients in somatic cell arm of chromosome 11. The deletions vary in size hybrids and analysing DNA from these to produce but always include part of band lipl3. To home a consistent map of chromosome lip. At the same in on the Wilms tumour and aniridia loci the end time we have determined the deletion breakpoints points of the different deletion breakpoints need at a molecular level and shown that the results are to be defined at the DNA level. -
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. -
1 Metabolic Dysfunction Is Restricted to the Sciatic Nerve in Experimental
Page 1 of 255 Diabetes Metabolic dysfunction is restricted to the sciatic nerve in experimental diabetic neuropathy Oliver J. Freeman1,2, Richard D. Unwin2,3, Andrew W. Dowsey2,3, Paul Begley2,3, Sumia Ali1, Katherine A. Hollywood2,3, Nitin Rustogi2,3, Rasmus S. Petersen1, Warwick B. Dunn2,3†, Garth J.S. Cooper2,3,4,5* & Natalie J. Gardiner1* 1 Faculty of Life Sciences, University of Manchester, UK 2 Centre for Advanced Discovery and Experimental Therapeutics (CADET), Central Manchester University Hospitals NHS Foundation Trust, Manchester Academic Health Sciences Centre, Manchester, UK 3 Centre for Endocrinology and Diabetes, Institute of Human Development, Faculty of Medical and Human Sciences, University of Manchester, UK 4 School of Biological Sciences, University of Auckland, New Zealand 5 Department of Pharmacology, Medical Sciences Division, University of Oxford, UK † Present address: School of Biosciences, University of Birmingham, UK *Joint corresponding authors: Natalie J. Gardiner and Garth J.S. Cooper Email: [email protected]; [email protected] Address: University of Manchester, AV Hill Building, Oxford Road, Manchester, M13 9PT, United Kingdom Telephone: +44 161 275 5768; +44 161 701 0240 Word count: 4,490 Number of tables: 1, Number of figures: 6 Running title: Metabolic dysfunction in diabetic neuropathy 1 Diabetes Publish Ahead of Print, published online October 15, 2015 Diabetes Page 2 of 255 Abstract High glucose levels in the peripheral nervous system (PNS) have been implicated in the pathogenesis of diabetic neuropathy (DN). However our understanding of the molecular mechanisms which cause the marked distal pathology is incomplete. Here we performed a comprehensive, system-wide analysis of the PNS of a rodent model of DN. -
Liver Glucose Metabolism in Humans
Biosci. Rep. (2016) / 36 / art:e00416 / doi 10.1042/BSR20160385 Liver glucose metabolism in humans Mar´ıa M. Adeva-Andany*1, Noemi Perez-Felpete*,´ Carlos Fernandez-Fern´ andez*,´ Cristobal´ Donapetry-Garc´ıa* and Cristina Pazos-Garc´ıa* *Nephrology Division, Hospital General Juan Cardona, c/ Pardo Bazan´ s/n, 15406 Ferrol, Spain Synopsis Information about normal hepatic glucose metabolism may help to understand pathogenic mechanisms underlying obesity and diabetes mellitus. In addition, liver glucose metabolism is involved in glycosylation reactions and con- nected with fatty acid metabolism. The liver receives dietary carbohydrates directly from the intestine via the portal vein. Glucokinase phosphorylates glucose to glucose 6-phosphate inside the hepatocyte, ensuring that an adequate flow of glucose enters the cell to be metabolized. Glucose 6-phosphate may proceed to several metabolic path- ways. During the post-prandial period, most glucose 6-phosphate is used to synthesize glycogen via the formation of glucose 1-phosphate and UDP–glucose. Minor amounts of UDP–glucose are used to form UDP–glucuronate and UDP– galactose, which are donors of monosaccharide units used in glycosylation. A second pathway of glucose 6-phosphate metabolism is the formation of fructose 6-phosphate, which may either start the hexosamine pathway to produce UDP-N-acetylglucosamine or follow the glycolytic pathway to generate pyruvate and then acetyl-CoA. Acetyl-CoA may enter the tricarboxylic acid (TCA) cycle to be oxidized or may be exported to the cytosol to synthesize fatty acids, when excess glucose is present within the hepatocyte. Finally, glucose 6-phosphate may produce NADPH and ribose 5-phosphate through the pentose phosphate pathway. -
Construction of Stable Mouse Arti Cial Chromosome from Native Mouse
Construction of Stable Mouse Articial Chromosome from Native Mouse Chromosome 10 for Generation of Transchromosomic Mice Satoshi Abe Tottori University Kazuhisa Honma Trans Chromosomics, Inc Akane Okada Tottori University Kanako Kazuki Tottori University Hiroshi Tanaka Trans Chromosomics, Inc Takeshi Endo Trans Chromosomics, Inc Kayoko Morimoto Trans Chromosomics, Inc Takashi Moriwaki Tottori University Shusei Hamamichi Tottori University Yuji Nakayama Tottori University Teruhiko Suzuki Tokyo Metropolitan Institute of Medical Science Shoko Takehara Trans Chromosomics, Inc Mitsuo Oshimura Tottori University Yasuhiro Kazuki ( [email protected] ) Tottori University Research Article Page 1/21 Keywords: mouse articial chromosome (MAC), microcell-mediated chromosome transfer (MMCT), chromosome engineering, transchromosomic (Tc) mouse, humanized model mouse Posted Date: July 9th, 2021 DOI: https://doi.org/10.21203/rs.3.rs-675300/v1 License: This work is licensed under a Creative Commons Attribution 4.0 International License. Read Full License Page 2/21 Abstract Mammalian articial chromosomes derived from native chromosomes have been applied to biomedical research and development by generating cell sources and transchromosomic (Tc) animals. Human articial chromosome (HAC) is a precedent chromosomal vector which achieved generation of valuable humanized animal models for fully human antibody production and human pharmacokinetics. While humanized Tc animals created by HAC vector have attained signicant contributions, there was a potential issue to be addressed regarding stability in mouse tissues, especially highly proliferating hematopoietic cells. Mouse articial chromosome (MAC) vectors derived from native mouse chromosome 11 demonstrated improved stability, and they were utilized for humanized Tc mouse production as a standard vector. In mouse, however, stability of MAC vector derived from native mouse chromosome other than mouse chromosome 11 remains to be evaluated. -
In Human Metabolism
Supporting Information (SI Appendix) Framework and resource for more than 11,000 gene-transcript- protein-reaction associations (GeTPRA) in human metabolism SI Appendix Materials and Methods Standardization of Metabolite IDs with MNXM IDs Defined in the MNXref Namespace. Information on metabolic contents of the Recon 2Q was standardized using MNXM IDs defined in the MNXref namespace available at MetaNetX (1-3). This standardization was to facilitate the model refinement process described below. Each metabolite ID in the Recon 2Q was converted to MNXM ID accordingly. For metabolite IDs that were not converted to MNXM IDs, they were manually converted to MNXM IDs by comparing their compound structures and synonyms. In the final resulting SBML files, 97 metabolites were assigned with arbitrary IDs (i.e., “MNXMK_” followed by four digits) because they were not covered by the MNXref namespace (i.e., metabolite IDs not converted to MNXM IDs). Refinement or Removal of Biochemically Inconsistent Reactions. Recon 2 was built upon metabolic genes and reactions collected from EHMN (4, 5), the first genome-scale human liver metabolic model HepatoNet1 (6), an acylcarnitine and fatty-acid oxidation model Ac-FAO (7), and a small intestinal enterocyte model hs_eIEC611 (8). Flux variability analysis (9) of the Recon 2Q identified blocked reactions coming from these four sources of metabolic reaction data. The EHMN caused the greatest number of blocked reactions in the Recon 2Q (1,070 reactions corresponding to 69.3% of all the identified blocked reactions). To refine the EHMN reactions, following reactions were initially disregarded: 1) reactions having metabolite IDs not convertible to MNXM IDs; and 2) reactions without genes. -
IL21R Expressing CD14+CD16+ Monocytes Expand in Multiple
Plasma Cell Disorders SUPPLEMENTARY APPENDIX IL21R expressing CD14 +CD16 + monocytes expand in multiple myeloma patients leading to increased osteoclasts Marina Bolzoni, 1 Domenica Ronchetti, 2,3 Paola Storti, 1,4 Gaetano Donofrio, 5 Valentina Marchica, 1,4 Federica Costa, 1 Luca Agnelli, 2,3 Denise Toscani, 1 Rosanna Vescovini, 1 Katia Todoerti, 6 Sabrina Bonomini, 7 Gabriella Sammarelli, 1,7 Andrea Vecchi, 8 Daniela Guasco, 1 Fabrizio Accardi, 1,7 Benedetta Dalla Palma, 1,7 Barbara Gamberi, 9 Carlo Ferrari, 8 Antonino Neri, 2,3 Franco Aversa 1,4,7 and Nicola Giuliani 1,4,7 1Myeloma Unit, Dept. of Medicine and Surgery, University of Parma; 2Dept. of Oncology and Hemato-Oncology, University of Milan; 3Hematology Unit, “Fondazione IRCCS Ca’ Granda”, Ospedale Maggiore Policlinico, Milan; 4CoreLab, University Hospital of Parma; 5Dept. of Medical-Veterinary Science, University of Parma; 6Laboratory of Pre-clinical and Translational Research, IRCCS-CROB, Referral Cancer Center of Basilicata, Rionero in Vulture; 7Hematology and BMT Center, University Hospital of Parma; 8Infectious Disease Unit, University Hospital of Parma and 9“Dip. Oncologico e Tecnologie Avanzate”, IRCCS Arcispedale Santa Maria Nuova, Reggio Emilia, Italy ©2017 Ferrata Storti Foundation. This is an open-access paper. doi:10.3324/haematol. 2016.153841 Received: August 5, 2016. Accepted: December 23, 2016. Pre-published: January 5, 2017. Correspondence: [email protected] SUPPLEMENTAL METHODS Immunophenotype of BM CD14+ in patients with monoclonal gammopathies. Briefly, 100 μl of total BM aspirate was incubated in the dark with anti-human HLA-DR-PE (clone L243; BD), anti-human CD14-PerCP-Cy 5.5, anti-human CD16-PE-Cy7 (clone B73.1; BD) and anti-human CD45-APC-H 7 (clone 2D1; BD) for 20 min. -
Queryor: a Comprehensive Web Platform for Genetic Variant Analysis
Bertoldi et al. BMC Bioinformatics (2017) 18:225 DOI 10.1186/s12859-017-1654-4 SOFTWARE Open Access QueryOR: a comprehensive web platform for genetic variant analysis and prioritization Loris Bertoldi1, Claudio Forcato1, Nicola Vitulo1,5, Giovanni Birolo1, Fabio De Pascale1, Erika Feltrin1, Riccardo Schiavon2, Franca Anglani3, Susanna Negrisolo4, Alessandra Zanetti4, Francesca D’Avanzo4, Rosella Tomanin4, Georgine Faulkner2, Alessandro Vezzi2 and Giorgio Valle1,2* Abstract Background: Whole genome and exome sequencing are contributing to the extraordinary progress in the study of human genetic variants. In this fast developing field, appropriate and easily accessible tools are required to facilitate data analysis. Results: Here we describe QueryOR, a web platform suitable for searching among known candidate genes as well as for finding novel gene-disease associations. QueryOR combines several innovative features that make it comprehensive, flexible and easy to use. Instead of being designed on specific datasets, it works on a general XML schema specifying formats and criteria of each data source. Thanks to this flexibility, new criteria can be easily added for future expansion. Currently, up to 70 user-selectable criteria are available, including a wide range of gene and variant features. Moreover, rather than progressively discarding variants taking one criterion at a time, the prioritization is achieved by a global positive selection process that considers all transcript isoforms, thus producing reliable results. QueryOR is easy to use and its intuitive interface allows to handle different kinds of inheritance as well as features related to sharing variants in different patients. QueryOR is suitable for investigating single patients, families or cohorts. Conclusions: QueryOR is a comprehensive and flexible web platform eligible for an easy user-driven variant prioritization. -
MECHANISMS in ENDOCRINOLOGY: Novel Genetic Causes of Short Stature
J M Wit and others Genetics of short stature 174:4 R145–R173 Review MECHANISMS IN ENDOCRINOLOGY Novel genetic causes of short stature 1 1 2 2 Jan M Wit , Wilma Oostdijk , Monique Losekoot , Hermine A van Duyvenvoorde , Correspondence Claudia A L Ruivenkamp2 and Sarina G Kant2 should be addressed to J M Wit Departments of 1Paediatrics and 2Clinical Genetics, Leiden University Medical Center, PO Box 9600, 2300 RC Leiden, Email The Netherlands [email protected] Abstract The fast technological development, particularly single nucleotide polymorphism array, array-comparative genomic hybridization, and whole exome sequencing, has led to the discovery of many novel genetic causes of growth failure. In this review we discuss a selection of these, according to a diagnostic classification centred on the epiphyseal growth plate. We successively discuss disorders in hormone signalling, paracrine factors, matrix molecules, intracellular pathways, and fundamental cellular processes, followed by chromosomal aberrations including copy number variants (CNVs) and imprinting disorders associated with short stature. Many novel causes of GH deficiency (GHD) as part of combined pituitary hormone deficiency have been uncovered. The most frequent genetic causes of isolated GHD are GH1 and GHRHR defects, but several novel causes have recently been found, such as GHSR, RNPC3, and IFT172 mutations. Besides well-defined causes of GH insensitivity (GHR, STAT5B, IGFALS, IGF1 defects), disorders of NFkB signalling, STAT3 and IGF2 have recently been discovered. Heterozygous IGF1R defects are a relatively frequent cause of prenatal and postnatal growth retardation. TRHA mutations cause a syndromic form of short stature with elevated T3/T4 ratio. Disorders of signalling of various paracrine factors (FGFs, BMPs, WNTs, PTHrP/IHH, and CNP/NPR2) or genetic defects affecting cartilage extracellular matrix usually cause disproportionate short stature. -
14Q13 Deletions FTNW
14q13 deletions rarechromo.org 14q13 deletions A chromosome 14 deletion means that part of one of the body’s chromosomes (chromosome 14) has been lost or deleted. If the deleted material contains important genes, learning disability, developmental delay and health problems may occur. How serious these problems are depends on how much of the chromosome has been deleted, which genes have been lost and where precisely the deletion is. The features associated with 14q13 deletions vary from person to person, but are likely to include a degree of developmental delay, an unusually small or large head, a raised risk of medical problems and unusual facial features. Genes and chromosomes Our bodies are made up of billions of cells. Most of these cells contain a complete set of thousands of genes that act as instructions, controlling our growth, development and how our bodies work. Inside human cells there is a nucleus where the genes are carried on microscopically small, thread-like structures called chromosomes which are made up p arm p arm of DNA. p arm p arm Chromosomes come in pairs of different sizes and are numbered from largest to smallest, roughly according to their size, from number 1 to number 22. In addition to these so-called autosomal chromosomes there are the sex chromosomes, X and Y. So a human cell has 46 chromosomes: 23 inherited from the mother and 23 inherited from the father, making two sets of 23 chromosomes. A girl has two X chromosomes (XX) while a boy will have one X and one Y chromosome (XY). -
Mitoxplorer, a Visual Data Mining Platform To
mitoXplorer, a visual data mining platform to systematically analyze and visualize mitochondrial expression dynamics and mutations Annie Yim, Prasanna Koti, Adrien Bonnard, Fabio Marchiano, Milena Dürrbaum, Cecilia Garcia-Perez, José Villaveces, Salma Gamal, Giovanni Cardone, Fabiana Perocchi, et al. To cite this version: Annie Yim, Prasanna Koti, Adrien Bonnard, Fabio Marchiano, Milena Dürrbaum, et al.. mitoXplorer, a visual data mining platform to systematically analyze and visualize mitochondrial expression dy- namics and mutations. Nucleic Acids Research, Oxford University Press, 2020, 10.1093/nar/gkz1128. hal-02394433 HAL Id: hal-02394433 https://hal-amu.archives-ouvertes.fr/hal-02394433 Submitted on 4 Dec 2019 HAL is a multi-disciplinary open access L’archive ouverte pluridisciplinaire HAL, est archive for the deposit and dissemination of sci- destinée au dépôt et à la diffusion de documents entific research documents, whether they are pub- scientifiques de niveau recherche, publiés ou non, lished or not. The documents may come from émanant des établissements d’enseignement et de teaching and research institutions in France or recherche français ou étrangers, des laboratoires abroad, or from public or private research centers. publics ou privés. Distributed under a Creative Commons Attribution| 4.0 International License Nucleic Acids Research, 2019 1 doi: 10.1093/nar/gkz1128 Downloaded from https://academic.oup.com/nar/advance-article-abstract/doi/10.1093/nar/gkz1128/5651332 by Bibliothèque de l'université la Méditerranée user on 04 December 2019 mitoXplorer, a visual data mining platform to systematically analyze and visualize mitochondrial expression dynamics and mutations Annie Yim1,†, Prasanna Koti1,†, Adrien Bonnard2, Fabio Marchiano3, Milena Durrbaum¨ 1, Cecilia Garcia-Perez4, Jose Villaveces1, Salma Gamal1, Giovanni Cardone1, Fabiana Perocchi4, Zuzana Storchova1,5 and Bianca H. -
12Q Deletions FTNW
12q deletions rarechromo.org What is a 12q deletion? A deletion from chromosome 12q is a rare genetic condition in which a part of one of the body’s 46 chromosomes is missing. When material is missing from a chromosome, it is called a deletion. What are chromosomes? Chromosomes are the structures in each of the body’s cells that carry genetic information telling the body how to develop and function. They come in pairs, one from each parent, and are numbered 1 to 22 approximately from largest to smallest. Additionally there is a pair of sex chromosomes, two named X in females, and one X and another named Y in males. Each chromosome has a short (p) arm and a long (q) arm. Looking at chromosome 12 Chromosome analysis You can’t see chromosomes with the naked eye, but if you stain and magnify them many hundreds of times under a microscope, you can see that each one has a distinctive pattern of light and dark bands. In the diagram of the long arm of chromosome 12 on page 3 you can see the bands are numbered outwards starting from the point at the top of the diagram where the short and long arms meet (the centromere). Molecular techniques If you magnify chromosome 12 about 850 times, a small piece may be visibly missing. But sometimes the missing piece is so tiny that the chromosome looks normal through a microscope. The missing section can then only be found using more sensitive molecular techniques such as FISH (fluorescence in situ hybridisation, a technique that reveals the chromosomes in fluorescent colour), MLPA (multiplex ligation-dependent probe amplification) and/or array-CGH (microarrays), a technique that shows gains and losses of tiny amounts of DNA throughout all the chromosomes.