University of Groningen Fatal Outcome Due to Deficiency of Subunit 6
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Genetic and Genomic Analysis of Hyperlipidemia, Obesity and Diabetes Using (C57BL/6J × TALLYHO/Jngj) F2 Mice
University of Tennessee, Knoxville TRACE: Tennessee Research and Creative Exchange Nutrition Publications and Other Works Nutrition 12-19-2010 Genetic and genomic analysis of hyperlipidemia, obesity and diabetes using (C57BL/6J × TALLYHO/JngJ) F2 mice Taryn P. Stewart Marshall University Hyoung Y. Kim University of Tennessee - Knoxville, [email protected] Arnold M. Saxton University of Tennessee - Knoxville, [email protected] Jung H. Kim Marshall University Follow this and additional works at: https://trace.tennessee.edu/utk_nutrpubs Part of the Animal Sciences Commons, and the Nutrition Commons Recommended Citation BMC Genomics 2010, 11:713 doi:10.1186/1471-2164-11-713 This Article is brought to you for free and open access by the Nutrition at TRACE: Tennessee Research and Creative Exchange. It has been accepted for inclusion in Nutrition Publications and Other Works by an authorized administrator of TRACE: Tennessee Research and Creative Exchange. For more information, please contact [email protected]. Stewart et al. BMC Genomics 2010, 11:713 http://www.biomedcentral.com/1471-2164/11/713 RESEARCH ARTICLE Open Access Genetic and genomic analysis of hyperlipidemia, obesity and diabetes using (C57BL/6J × TALLYHO/JngJ) F2 mice Taryn P Stewart1, Hyoung Yon Kim2, Arnold M Saxton3, Jung Han Kim1* Abstract Background: Type 2 diabetes (T2D) is the most common form of diabetes in humans and is closely associated with dyslipidemia and obesity that magnifies the mortality and morbidity related to T2D. The genetic contribution to human T2D and related metabolic disorders is evident, and mostly follows polygenic inheritance. The TALLYHO/ JngJ (TH) mice are a polygenic model for T2D characterized by obesity, hyperinsulinemia, impaired glucose uptake and tolerance, hyperlipidemia, and hyperglycemia. -
Congenital Disorders of Glycosylation from a Neurological Perspective
brain sciences Review Congenital Disorders of Glycosylation from a Neurological Perspective Justyna Paprocka 1,* , Aleksandra Jezela-Stanek 2 , Anna Tylki-Szyma´nska 3 and Stephanie Grunewald 4 1 Department of Pediatric Neurology, Faculty of Medical Science in Katowice, Medical University of Silesia, 40-752 Katowice, Poland 2 Department of Genetics and Clinical Immunology, National Institute of Tuberculosis and Lung Diseases, 01-138 Warsaw, Poland; [email protected] 3 Department of Pediatrics, Nutrition and Metabolic Diseases, The Children’s Memorial Health Institute, W 04-730 Warsaw, Poland; [email protected] 4 NIHR Biomedical Research Center (BRC), Metabolic Unit, Great Ormond Street Hospital and Institute of Child Health, University College London, London SE1 9RT, UK; [email protected] * Correspondence: [email protected]; Tel.: +48-606-415-888 Abstract: Most plasma proteins, cell membrane proteins and other proteins are glycoproteins with sugar chains attached to the polypeptide-glycans. Glycosylation is the main element of the post- translational transformation of most human proteins. Since glycosylation processes are necessary for many different biological processes, patients present a diverse spectrum of phenotypes and severity of symptoms. The most frequently observed neurological symptoms in congenital disorders of glycosylation (CDG) are: epilepsy, intellectual disability, myopathies, neuropathies and stroke-like episodes. Epilepsy is seen in many CDG subtypes and particularly present in the case of mutations -
Large-Scale Rnai Screening Uncovers New Therapeutic Targets in the Human Parasite
bioRxiv preprint doi: https://doi.org/10.1101/2020.02.05.935833; this version posted February 6, 2020. 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 4.0 International license. 1 Large-scale RNAi screening uncovers new therapeutic targets in the human parasite 2 Schistosoma mansoni 3 4 Jipeng Wang1*, Carlos Paz1*, Gilda Padalino2, Avril Coghlan3, Zhigang Lu3, Irina Gradinaru1, 5 Julie N.R. Collins1, Matthew Berriman3, Karl F. Hoffmann2, James J. Collins III1†. 6 7 8 1Department of Pharmacology, UT Southwestern Medical Center, Dallas, Texas 75390 9 2Institute of Biological, Environmental and Rural Sciences (IBERS), Aberystwyth University, 10 Aberystwyth, Wales, UK. 11 3Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SA, UK 12 *Equal Contribution 13 14 15 16 17 18 19 20 21 22 23 †To whom correspondence should be addressed 24 [email protected] 25 UT Southwestern Medical Center 26 Department of Pharmacology 27 6001 Forest Park. Rd. 28 Dallas, TX 75390 29 United States of America bioRxiv preprint doi: https://doi.org/10.1101/2020.02.05.935833; this version posted February 6, 2020. 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 4.0 International license. 30 ABSTRACT 31 Schistosomes kill 250,000 people every year and are responsible for serious morbidity in 240 32 million of the world’s poorest people. -
Revostmm Vol 10-4-2018 Ingles Maquetaciûn 1
108 ORIGINALS / Rev Osteoporos Metab Miner. 2018;10(4):108-18 Roca-Ayats N1, Falcó-Mascaró M1, García-Giralt N2, Cozar M1, Abril JF3, Quesada-Gómez JM4, Prieto-Alhambra D5,6, Nogués X2, Mellibovsky L2, Díez-Pérez A2, Grinberg D1, Balcells S1 1 Departamento de Genética, Microbiología y Estadística - Facultad de Biología - Universidad de Barcelona - Centro de Investigación Biomédica en Red de Enfermedades Raras (CIBERER) - Instituto de Salud Carlos III (ISCIII) - Instituto de Biomedicina de la Universidad de Barcelona (IBUB) - Instituto de Investigación Sant Joan de Déu (IRSJD) - Barcelona (España) 2 Unidad de Investigación en Fisiopatología Ósea y Articular (URFOA); Instituto Hospital del Mar de Investigaciones Médicas (IMIM) - Parque de Salud Mar - Centro de Investigación Biomédica en Red de Fragilidad y Envejecimiento Saludable (CIBERFES); Instituto de Salud Carlos III (ISCIII) - Barcelona (España) 3 Departamento de Genética, Microbiología y Estadística; Facultad de Biología; Universidad de Barcelona - Instituto de Biomedicina de la Universidad de Barcelona (IBUB) - Barcelona (España) 4 Unidad de Metabolismo Mineral; Instituto Maimónides de Investigación Biomédica de Córdoba (IMIBIC); Hospital Universitario Reina Sofía - Centro de Investigación Biomédica en Red de Fragilidad y Envejecimiento Saludable (CIBERFES); Instituto de Salud Carlos III (ISCIII) - Córdoba (España) 5 Grupo de Investigación en Enfermedades Prevalentes del Aparato Locomotor (GREMPAL) - Instituto de Investigación en Atención Primaria (IDIAP) Jordi Gol - Centro de Investigación -
Open Data for Differential Network Analysis in Glioma
International Journal of Molecular Sciences Article Open Data for Differential Network Analysis in Glioma , Claire Jean-Quartier * y , Fleur Jeanquartier y and Andreas Holzinger Holzinger Group HCI-KDD, Institute for Medical Informatics, Statistics and Documentation, Medical University Graz, Auenbruggerplatz 2/V, 8036 Graz, Austria; [email protected] (F.J.); [email protected] (A.H.) * Correspondence: [email protected] These authors contributed equally to this work. y Received: 27 October 2019; Accepted: 3 January 2020; Published: 15 January 2020 Abstract: The complexity of cancer diseases demands bioinformatic techniques and translational research based on big data and personalized medicine. Open data enables researchers to accelerate cancer studies, save resources and foster collaboration. Several tools and programming approaches are available for analyzing data, including annotation, clustering, comparison and extrapolation, merging, enrichment, functional association and statistics. We exploit openly available data via cancer gene expression analysis, we apply refinement as well as enrichment analysis via gene ontology and conclude with graph-based visualization of involved protein interaction networks as a basis for signaling. The different databases allowed for the construction of huge networks or specified ones consisting of high-confidence interactions only. Several genes associated to glioma were isolated via a network analysis from top hub nodes as well as from an outlier analysis. The latter approach highlights a mitogen-activated protein kinase next to a member of histondeacetylases and a protein phosphatase as genes uncommonly associated with glioma. Cluster analysis from top hub nodes lists several identified glioma-associated gene products to function within protein complexes, including epidermal growth factors as well as cell cycle proteins or RAS proto-oncogenes. -
ARP55242 P050) Data Sheet
COG4 antibody - middle region (ARP55242_P050) Data Sheet Product Number ARP55242_P050 Product Name COG4 antibody - middle region (ARP55242_P050) Size 50ug Gene Symbol COG4 Alias Symbols COD1; DKFZp586E1519; CDG2J Nucleotide Accession# NM_015386 Protein Size (# AA) 789 amino acids Molecular Weight 89kDa Subunit 4 Product Format Lyophilized powder NCBI Gene Id 25839 Host Rabbit Clonality Polyclonal Official Gene Full Name Component of oligomeric golgi complex 4 Gene Family COG This is a rabbit polyclonal antibody against COG4. It was validated on Western Blot using a cell lysate as a Description positive control. Aviva Systems Biology strives to provide antibodies covering each member of a whole protein family of your interest. We also use our best efforts to provide you antibodies recognize various epitopes of a target protein. For availability of antibody needed for your experiment, please inquire (). Peptide Sequence Synthetic peptide located within the following region: LFSQGIGGEQAQAKFDSCLSDLAAVSNKFRDLLQEGLTELNSTAIKPQVQ Target Reference Suzuki,Y., (2004) Genome Res. 14 (9), 1711-1718 Multiprotein complexes are key determinants of Golgi apparatus structure and its capacity for intracellular transport and glycoprotein modification. Several complexes have been identified, including the Golgi transport complex (GTC), the LDLC complex, which is involved in glycosylation reactions, and the SEC34 complex, which is involved in vesicular transport. These 3 complexes are identical and have been termed the conserved oligomeric Golgi (COG) complex, which includes COG4.Multiprotein complexes are key determinants of Golgi Description of Target apparatus structure and its capacity for intracellular transport and glycoprotein modification. Several complexes have been identified, including the Golgi transport complex (GTC), the LDLC complex, which is involved in glycosylation reactions, and the SEC34 complex, which is involved in vesicular transport. -
Molecular Cytogenetic Characterization of Partial Monosomy 2P and Trisomy 16Q in a Newborn: a Case Report
EXPERIMENTAL AND THERAPEUTIC MEDICINE 18: 1267-1275, 2019 Molecular cytogenetic characterization of partial monosomy 2p and trisomy 16q in a newborn: A case report FAGUI YUE1,2, YUTING JIANG1,2, YUAN PAN1,2, LEILEI LI1,2, LINLIN LI1,2, RUIZHI LIU1,2 and RUIXUE WANG1,2 1Center for Reproductive Medicine and Center for Prenatal Diagnosis, The First Hospital; 2Jilin Engineering Research Center for Reproductive Medicine and Genetics, Jilin University, Changchun, Jilin 130021, P.R. China Received August 12, 2018; Accepted May 16, 2019 DOI: 10.3892/etm.2019.7695 Abstract. Trisomy 16q is a rare disorder with severe abnor- Introduction malities, which always leads to early postnatal mortality. It usually results from a parental translocation, exhibiting 16q Trisomy 16 is recognized as the most common type of trisomy duplication associated with another chromosomal deletion. in first‑trimester spontaneous abortions, occurring in 1% of The present study reports on the clinical presentation and all clinically recognized pregnancies, while being rarer in the molecular cytogenetic results of a small-for-gestational-age second and third������������������������������������������������ trimesters����������������������������������������������� (1-3). Early lethality and incompat- infant, consisting of partial trisomy 16q21→qter and mono- ibility with life have been described as its major outcomes (1). somy 2p25.3→pter. The proband presented with moderately Trisomy 16 may be classified into three major types: Full low birthweight, small anterior fontanelles, prominent trisomy, mosaics and partial trisomy of 16p or 16q. Since forehead, low hairline, telecanthus, flat nasal bridge, choanal Schmickel (����)������ ��re�orted the fifirst rst case of ���16q������������������� trisomy as identi- atresia, clinodactyly of the fifth fingers, urogenital anomalies, fied using a chromosome banding techni�ue in �975, >30 cases congenital muscular torticollis and congenital laryngoma- of partial trisomy 16q have been described. -
(Siberian Roe Deer and Grey Brocket Deer) Unravelled by Chromosome-Specific DNA Sequencing Alexey I
Nova Southeastern University NSUWorks Biology Faculty Articles Department of Biological Sciences 8-11-2016 Contrasting Origin of B Chromosomes in Two Cervids (Siberian Roe Deer and Grey Brocket Deer) Unravelled by Chromosome-Specific DNA Sequencing Alexey I. Makunin Institute of Molecular and Cell Biology - Novosibirsk, Russia; St. Petersburg State University - Russia Ilya G. Kichigin Institute of Molecular and Cell Biology - Novosibirsk, Russia Denis M. Larkin University of London - United Kingdom Patricia C. M. O'Brien Cambridge University - United Kingdom Malcolm A. Ferguson-Smith University of Cambridge - United Kingdom See next page for additional authors Follow this and additional works at: https://nsuworks.nova.edu/cnso_bio_facarticles Part of the Animal Sciences Commons, and the Genetics and Genomics Commons NSUWorks Citation Makunin, Alexey I.; Ilya G. Kichigin; Denis M. Larkin; Patricia C. M. O'Brien; Malcolm A. Ferguson-Smith; Fengtang Yang; Anastasiya A. Proskuryakova; Nadezhda V. Vorobieva; Ekaterina N. Chernyaeva; Stephen J. O'Brien; Alexander S. Graphodatsky; and Vladimir Trifonov. 2016. "Contrasting Origin of B Chromosomes in Two Cervids (Siberian Roe Deer and Grey Brocket Deer) Unravelled by Chromosome-Specific DNA eS quencing." BMC Genomics 17, (618): 1-14. doi:10.1186/s12864-016-2933-6. This Article is brought to you for free and open access by the Department of Biological Sciences at NSUWorks. It has been accepted for inclusion in Biology Faculty Articles by an authorized administrator of NSUWorks. For more information, please contact [email protected]. Authors Alexey I. Makunin, Ilya G. Kichigin, Denis M. Larkin, Patricia C. M. O'Brien, Malcolm A. Ferguson-Smith, Fengtang Yang, Anastasiya A. -
Primepcr™Assay Validation Report
PrimePCR™Assay Validation Report Gene Information Gene Name conserved oligomeric Golgi complex subunit 4 Gene Symbol Cog4 Organism Rat Gene Summary Description Not Available Gene Aliases Not Available RefSeq Accession No. Not Available UniGene ID Rn.107745 Ensembl Gene ID ENSRNOG00000017745 Entrez Gene ID 361407 Assay Information Unique Assay ID qRnoCID0019598 Assay Type SYBR® Green Detected Coding Transcript(s) ENSRNOT00000023927 Amplicon Context Sequence TCTGTTGCAGAATTTCTCATCAAGTTACTCTGGACAAGCCGGAACTGCTGGTGGT AGTCCCTTTGCTTGATGAACTTGTTTACCACCTTCTCTACCTGCGTGTCACATTCT AC Amplicon Length (bp) 83 Chromosome Location 19:54214697-54216125 Assay Design Intron-spanning Purification Desalted Validation Results Efficiency (%) 94 R2 0.9997 cDNA Cq 23.08 cDNA Tm (Celsius) 81 gDNA Cq 41.08 Specificity (%) 100 Information to assist with data interpretation is provided at the end of this report. Page 1/4 PrimePCR™Assay Validation Report Cog4, Rat Amplification Plot Amplification of cDNA generated from 25 ng of universal reference RNA Melt Peak Melt curve analysis of above amplification Standard Curve Standard curve generated using 20 million copies of template diluted 10-fold to 20 copies Page 2/4 PrimePCR™Assay Validation Report Products used to generate validation data Real-Time PCR Instrument CFX384 Real-Time PCR Detection System Reverse Transcription Reagent iScript™ Advanced cDNA Synthesis Kit for RT-qPCR Real-Time PCR Supermix SsoAdvanced™ SYBR® Green Supermix Experimental Sample qPCR Reference Total RNA Data Interpretation Unique Assay ID This is a unique identifier that can be used to identify the assay in the literature and online. Detected Coding Transcript(s) This is a list of the Ensembl transcript ID(s) that this assay will detect. Details for each transcript can be found on the Ensembl website at www.ensembl.org. -
Cog5–Cog7 Crystal Structure Reveals Interactions Essential for the Function of a Multisubunit Tethering Complex
Cog5–Cog7 crystal structure reveals interactions essential for the function of a multisubunit tethering complex Jun Yong Haa, Irina D. Pokrovskayab, Leslie K. Climerb, Gregory R. Shimamuraa, Tetyana Kudlykb, Philip D. Jeffreya, Vladimir V. Lupashinb,c, and Frederick M. Hughsona,1 aDepartment of Molecular Biology, Princeton University, Princeton, NJ 08544; bDepartment of Physiology and Biophysics, University of Arkansas for Medical Sciences, Little Rock, AR 72205; and cBiological Institute, Tomsk State University, Tomsk, 634050, Russian Federation Edited by Thomas C. Südhof, Stanford University School of Medicine, Stanford, CA, and approved September 30, 2014 (received for review August 4, 2014) The conserved oligomeric Golgi (COG) complex is required, along have been structurally characterized to date (11, 14). Defining the with SNARE and Sec1/Munc18 (SM) proteins, for vesicle docking quaternary structure of the other CATCHR-family MTCs remains and fusion at the Golgi. COG, like other multisubunit tethering a major challenge. complexes (MTCs), is thought to function as a scaffold and/or The COG complex is an MTC that is essential for vesicle chaperone to direct the assembly of productive SNARE complexes transport within the Golgi apparatus and from endosomal com- at the sites of membrane fusion. Reflecting this essential role, partments to the Golgi (3). Defects in individual COG subunits mutations in the COG complex can cause congenital disorders of can lead to the aberrant distribution of glycosylation enzymes glycosylation. A deeper understanding of COG function and dys- within the Golgi and thereby to severe genetic diseases known as function will likely depend on elucidating its molecular structure. congenital disorders of glycosylation (CDGs) (17, 18). -
Golgi-Dependent Copper Homeostasis Sustains Synaptic Development and Mitochondrial Content
bioRxiv preprint doi: https://doi.org/10.1101/2020.05.22.110627; this version posted May 23, 2020. 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. Golgi-Dependent Copper Homeostasis Sustains Synaptic Development and Mitochondrial Content. Cortnie Hartwig*1, Gretchen Macías Méndez*2, Shatabdi Bhattacharjee*3, Alysia D. Vrailas- Mortimer*4, Stephanie A. Zlatic1, Amanda A. H. Freeman5, Avanti Gokhale1, Mafalda Concilli6, Christie Sapp Savas1, Samantha Rudin-Rush1, Laura Palmer1, Nicole Shearing1, Lindsey Margewich4, Jacob McArthy4, Savanah Taylor4, Blaine Roberts7, Vladimir Lupashin8, Roman S. Polishchuk6, Daniel N. Cox3, Ramon A. Jorquera2,9#, Victor Faundez1# Abbreviated title: Copper Homeostasis Sustains Synaptic Mitochondria Departments of Cell Biology1 and Biochemistry7, and the Center for the Study of Human Health5 USA, 30322, Emory University, Atlanta, Georgia, USA, 30322. Neuroscience Department, Universidad Central del Caribe, Bayamon, Puerto Rico2. Neuroscience Institute, Center for Behavioral Neuroscience, Georgia State University, Atlanta, Georgia 303023. School of Biological Sciences Illinois State University, Normal, IL 6179014. Telethon Institute of Genetics and Medicine (TIGEM), Pozzuoli 80078, Italy6. Department of Physiology and Biophysics, University of Arkansas for Medical Sciences, Little Rock, AK, 722058. Institute of Biomedical Sciences, Santiago, Chile9. #Address Correspondence to RJ ([email protected]) and VF ([email protected]) * These authors contributed equally Number of pages: 36 Number of figures: 9 plus 2 extended data Number of words for abstract, introduction, and discussion: 149, 650, and 1500 Acknowledgements This work was supported by grants from the National Institutes of Health 1RF1AG060285 to VF, R01NS108778 to RJ, R15AR070505 to AVM, TelethonTIGEM-CBDM9 to RP, R01NS086082 to DNC, R01GM083144 to VL, and 5K12GM000680-19 to CH. -
Golgi-Dependent Copper Homeostasis Sustains Synaptic Development and Mitochondrial Content
Research Articles: Cellular/Molecular Golgi-Dependent Copper Homeostasis Sustains Synaptic Development and Mitochondrial Content https://doi.org/10.1523/JNEUROSCI.1284-20.2020 Cite as: J. Neurosci 2020; 10.1523/JNEUROSCI.1284-20.2020 Received: 22 May 2020 Revised: 2 October 2020 Accepted: 9 November 2020 This Early Release article has been peer-reviewed and accepted, but has not been through the composition and copyediting processes. The final version may differ slightly in style or formatting and will contain links to any extended data. Alerts: Sign up at www.jneurosci.org/alerts to receive customized email alerts when the fully formatted version of this article is published. Copyright © 2020 the authors 1 2 Golgi-Dependent Copper Homeostasis Sustains Synaptic 3 Development and Mitochondrial Content. 4 5 Cortnie Hartwig*1, Gretchen Macías Méndez*2, Shatabdi Bhattacharjee*3, Alysia D. Vrailas- 6 Mortimer*4, Stephanie A. Zlatic1, Amanda A. H. Freeman5, Avanti Gokhale1, Mafalda Concilli6, 7 Erica Werner1, Christie Sapp Savas1, Samantha Rudin-Rush1, Laura Palmer1, Nicole Shearing1, 8 Lindsey Margewich4, Jacob McArthy4, Savanah Taylor4, Blaine Roberts7, Vladimir Lupashin8, 9 Roman S. Polishchuk6, Daniel N. Cox3, Ramon A. Jorquera2,9#, Victor Faundez1# 10 11 Abbreviated title: Copper Homeostasis Sustains Synaptic Mitochondria 12 13 14 Departments of Cell Biology1 and Biochemistry7, and the Center for the Study of Human Health5 USA, 15 30322, Emory University, Atlanta, Georgia, USA, 30322. Neuroscience Department, Universidad Central 16 del Caribe, Bayamon, Puerto Rico2. Neuroscience Institute, Center for Behavioral Neuroscience, Georgia 17 State University, Atlanta, Georgia 303023. School of Biological Sciences Illinois State University, Normal, 18 IL 6179014.