SARS-Cov-2 Orf1b Gene Sequence in the NTNG1 Gene on Human Chromosome 1 STEVEN LEHRER 1 and PETER H
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Killed Whole-Genome Reduced-Bacteria Surface-Expressed Coronavirus Fusion Peptide Vaccines Protect Against Disease in a Porcine Model
Killed whole-genome reduced-bacteria surface-expressed coronavirus fusion peptide vaccines protect against disease in a porcine model Denicar Lina Nascimento Fabris Maedaa,b,c,1, Debin Tiand,e,1, Hanna Yua,b,c, Nakul Dara,b,c, Vignesh Rajasekarana,b,c, Sarah Menga,b,c, Hassan M. Mahsoubd,e, Harini Sooryanaraind,e, Bo Wangd,e, C. Lynn Heffrond,e, Anna Hassebroekd,e, Tanya LeRoithd,e, Xiang-Jin Mengd,e,2, and Steven L. Zeichnera,b,c,f,2 aDepartment of Pediatrics, University of Virginia, Charlottesville, VA 22908-0386; bPendleton Pediatric Infectious Disease Laboratory, University of Virginia, Charlottesville, VA 22908-0386; cChild Health Research Center, University of Virginia, Charlottesville, VA 22908-0386; dDepartment of Biomedical Sciences and Pathobiology, Virginia Polytechnic Institute and State University, Blacksburg, VA 24061-0913; eCenter for Emerging, Zoonotic, and Arthropod-borne Pathogens, Virginia Polytechnic Institute and State University, Blacksburg, VA 24061-0913; and fDepartment of Microbiology, Immunology, and Cancer Biology, University of Virginia, Charlottesville, VA 22908-0386 Contributed by Xiang-Jin Meng, February 14, 2021 (sent for review December 13, 2020; reviewed by Diego Diel and Qiuhong Wang) As the coronavirus disease 2019 (COVID-19) pandemic rages on, it Vaccination specifically with conserved E. coli antigens did not is important to explore new evolution-resistant vaccine antigens alter the gastrointestinal (GI) microbiome (6, 9). In human stud- and new vaccine platforms that can produce readily scalable, in- ies, volunteers were immunized orally with a KWCV against expensive vaccines with easier storage and transport. We report ETEC (10) with no adverse effects. An ETEC oral KWCV along here a synthetic biology-based vaccine platform that employs an with a cholera B toxin subunit adjuvant was studied in children expression vector with an inducible gram-negative autotransporter and found to be safe (11). -
The In¯Uence of Medication on Erectile Function
International Journal of Impotence Research (1997) 9, 17±26 ß 1997 Stockton Press All rights reserved 0955-9930/97 $12.00 The in¯uence of medication on erectile function W Meinhardt1, RF Kropman2, P Vermeij3, AAB Lycklama aÁ Nijeholt4 and J Zwartendijk4 1Department of Urology, Netherlands Cancer Institute/Antoni van Leeuwenhoek Hospital, Plesmanlaan 121, 1066 CX Amsterdam, The Netherlands; 2Department of Urology, Leyenburg Hospital, Leyweg 275, 2545 CH The Hague, The Netherlands; 3Pharmacy; and 4Department of Urology, Leiden University Hospital, P.O. Box 9600, 2300 RC Leiden, The Netherlands Keywords: impotence; side-effect; antipsychotic; antihypertensive; physiology; erectile function Introduction stopped their antihypertensive treatment over a ®ve year period, because of side-effects on sexual function.5 In the drug registration procedures sexual Several physiological mechanisms are involved in function is not a major issue. This means that erectile function. A negative in¯uence of prescrip- knowledge of the problem is mainly dependent on tion-drugs on these mechanisms will not always case reports and the lists from side effect registries.6±8 come to the attention of the clinician, whereas a Another way of looking at the problem is drug causing priapism will rarely escape the atten- combining available data on mechanisms of action tion. of drugs with the knowledge of the physiological When erectile function is in¯uenced in a negative mechanisms involved in erectile function. The way compensation may occur. For example, age- advantage of this approach is that remedies may related penile sensory disorders may be compen- evolve from it. sated for by extra stimulation.1 Diminished in¯ux of In this paper we will discuss the subject in the blood will lead to a slower onset of the erection, but following order: may be accepted. -
Experimental Validation of the Regulated Expression of Large Numbers of Non-Coding Rnas from the Mouse Genome
Downloaded from genome.cshlp.org on September 30, 2021 - Published by Cold Spring Harbor Laboratory Press Article Experimental validation of the regulated expression of large numbers of non-coding RNAs from the mouse genome Timothy Ravasi,1,4,5 Harukazu Suzuki,2,4 Ken C. Pang,1,3,4 Shintaro Katayama,2,4 Masaaki Furuno,2,4,6 Rie Okunishi,2 Shiro Fukuda,2 Kelin Ru,1 Martin C. Frith,1,2 M. Milena Gongora,1 Sean M. Grimmond,1 David A. Hume,1 Yoshihide Hayashizaki,2 and John S. Mattick1,7 1ARC Special Research Centre for Functional and Applied Genomics, Institute for Molecular Bioscience, University of Queensland, Brisbane QLD 4072, Australia; 2Laboratory for Genome Exploration Research Group, RIKEN Genomic Science Center, RIKEN Yokohama Institute, Suehiro-cho, Tsurumi-ku, Yokohama, Kanagawa, 230-0045, Japan; 3T Cell Laboratory, Ludwig Institute for Cancer Research, Austin & Repatriation Medical Centre, Heidelberg VIC 3084, Australia Recent large-scale analyses of mainly full-length cDNA libraries generated from a variety of mouse tissues indicated that almost half of all representative cloned sequences did not contain an apparent protein-coding sequence, and were putatively derived from non-protein-coding RNA (ncRNA) genes. However, many of these clones were singletons and the majority were unspliced, raising the possibility that they may be derived from genomic DNA or unprocessed pre-mRNA contamination during library construction, or alternatively represent nonspecific “transcriptional noise.” Here we show, using reverse transcriptase-dependent PCR, microarray, and Northern blot analyses, that many of these clones were derived from genuine transcripts of unknown function whose expression appears to be regulated. -
The Effects of Antipsychotic Treatment on Metabolic Function: a Systematic Review and Network Meta-Analysis
The effects of antipsychotic treatment on metabolic function: a systematic review and network meta-analysis Toby Pillinger, Robert McCutcheon, Luke Vano, Katherine Beck, Guy Hindley, Atheeshaan Arumuham, Yuya Mizuno, Sridhar Natesan, Orestis Efthimiou, Andrea Cipriani, Oliver Howes ****PROTOCOL**** Review questions 1. What is the magnitude of metabolic dysregulation (defined as alterations in fasting glucose, total cholesterol, low density lipoprotein (LDL) cholesterol, high density lipoprotein (HDL) cholesterol, and triglyceride levels) and alterations in body weight and body mass index associated with short-term (‘acute’) antipsychotic treatment in individuals with schizophrenia? 2. Does baseline physiology (e.g. body weight) and demographics (e.g. age) of patients predict magnitude of antipsychotic-associated metabolic dysregulation? 3. Are alterations in metabolic parameters over time associated with alterations in degree of psychopathology? 1 Searches We plan to search EMBASE, PsycINFO, and MEDLINE from inception using the following terms: 1 (Acepromazine or Acetophenazine or Amisulpride or Aripiprazole or Asenapine or Benperidol or Blonanserin or Bromperidol or Butaperazine or Carpipramine or Chlorproethazine or Chlorpromazine or Chlorprothixene or Clocapramine or Clopenthixol or Clopentixol or Clothiapine or Clotiapine or Clozapine or Cyamemazine or Cyamepromazine or Dixyrazine or Droperidol or Fluanisone or Flupehenazine or Flupenthixol or Flupentixol or Fluphenazine or Fluspirilen or Fluspirilene or Haloperidol or Iloperidone -
Supplementary Table 1: Adhesion Genes Data Set
Supplementary Table 1: Adhesion genes data set PROBE Entrez Gene ID Celera Gene ID Gene_Symbol Gene_Name 160832 1 hCG201364.3 A1BG alpha-1-B glycoprotein 223658 1 hCG201364.3 A1BG alpha-1-B glycoprotein 212988 102 hCG40040.3 ADAM10 ADAM metallopeptidase domain 10 133411 4185 hCG28232.2 ADAM11 ADAM metallopeptidase domain 11 110695 8038 hCG40937.4 ADAM12 ADAM metallopeptidase domain 12 (meltrin alpha) 195222 8038 hCG40937.4 ADAM12 ADAM metallopeptidase domain 12 (meltrin alpha) 165344 8751 hCG20021.3 ADAM15 ADAM metallopeptidase domain 15 (metargidin) 189065 6868 null ADAM17 ADAM metallopeptidase domain 17 (tumor necrosis factor, alpha, converting enzyme) 108119 8728 hCG15398.4 ADAM19 ADAM metallopeptidase domain 19 (meltrin beta) 117763 8748 hCG20675.3 ADAM20 ADAM metallopeptidase domain 20 126448 8747 hCG1785634.2 ADAM21 ADAM metallopeptidase domain 21 208981 8747 hCG1785634.2|hCG2042897 ADAM21 ADAM metallopeptidase domain 21 180903 53616 hCG17212.4 ADAM22 ADAM metallopeptidase domain 22 177272 8745 hCG1811623.1 ADAM23 ADAM metallopeptidase domain 23 102384 10863 hCG1818505.1 ADAM28 ADAM metallopeptidase domain 28 119968 11086 hCG1786734.2 ADAM29 ADAM metallopeptidase domain 29 205542 11085 hCG1997196.1 ADAM30 ADAM metallopeptidase domain 30 148417 80332 hCG39255.4 ADAM33 ADAM metallopeptidase domain 33 140492 8756 hCG1789002.2 ADAM7 ADAM metallopeptidase domain 7 122603 101 hCG1816947.1 ADAM8 ADAM metallopeptidase domain 8 183965 8754 hCG1996391 ADAM9 ADAM metallopeptidase domain 9 (meltrin gamma) 129974 27299 hCG15447.3 ADAMDEC1 ADAM-like, -
Transcriptomic Profile of the Subiculum-Projecting VIP Gabaergic Neurons in the Mouse CA1 Hippocampus
Brain Structure and Function (2019) 224:2269–2280 https://doi.org/10.1007/s00429-019-01883-z SHORT COMMUNICATION Transcriptomic profle of the subiculum‑projecting VIP GABAergic neurons in the mouse CA1 hippocampus Xiao Luo1,2 · Einer Muñoz‑Pino1,2 · Ruggiero Francavilla1,2 · Maxime Vallée3,4 · Arnaud Droit3 · Lisa Topolnik1,2 Received: 16 March 2018 / Accepted: 2 May 2019 / Published online: 16 May 2019 © Springer-Verlag GmbH Germany, part of Springer Nature 2019 Abstract In cortical circuits, the vasoactive intestinal peptide (VIP+)-expressing GABAergic cells represent a heterogeneous but unique group of interneurons that is mainly specialized in network disinhibition. While the physiological properties and connectivity patterns have been elucidated in several types of VIP+ interneurons, little is known about the cell type-specifc molecular repertoires important for selective targeting of VIP+ cell types and understanding their functions. Using patch- sequencing approach, we analyzed the transcriptomic profle of anatomically identifed subiculum-projecting VIP+ GABAe- rgic neurons that reside in the mouse hippocampal CA1 area, express muscarinic receptor 2 and coordinate the hippocampo- subicular interactions via selective innervation of interneurons in the CA1 area and of interneurons and pyramidal cells in subiculum. We explored the VIP+ cell gene expression within major gene families including ion channels, neurotransmitter receptors, neuromodulators, cell adhesion and myelination molecules. Among others, a large variety of genes involved in neuromodulatory signaling, including acetylcholine (Chrna4), norepinephrin (Adrb1), dopamine (Drd1), serotonin (Htr1d), cannabinoid (Cnr1), opioid (Oprd1, Oprl1) and neuropeptide Y (Npy1r) receptors was detected in these cells. Many genes that were enriched in other local VIP+ cell types, including the interneuron-selective interneurons and the cholecystokinin- coexpressing basket cells, were detected in VIP+ subiculum-projecting cells. -
Characterization of Glomerular Extracellular Matrix in Iga Nephropathy by Proteomic Analysis of Laser-Captured Microdissected Gl
Paunas et al. BMC Nephrology (2019) 20:410 https://doi.org/10.1186/s12882-019-1598-1 RESEARCH ARTICLE Open Access Characterization of glomerular extracellular matrix in IgA nephropathy by proteomic analysis of laser-captured microdissected glomeruli Flavia Teodora Ioana Paunas1,2* , Kenneth Finne2, Sabine Leh2,3, Tarig Al-Hadi Osman2, Hans-Peter Marti2,4, Frode Berven5 and Bjørn Egil Vikse1,2 Abstract Background: IgA nephropathy (IgAN) involves mesangial matrix expansion, but the proteomic composition of this matrix is unknown. The present study aimed to characterize changes in extracellular matrix in IgAN. Methods: In the present study we used mass spectrometry-based proteomics in order to quantitatively compare protein abundance between glomeruli of patients with IgAN (n = 25) and controls with normal biopsy findings (n = 15). Results: Using a previously published paper by Lennon et al. and cross-referencing with the Matrisome database we identified 179 extracellular matrix proteins. In the comparison between IgAN and controls, IgAN glomeruli showed significantly higher abundance of extracellular matrix structural proteins (e.g periostin, vitronectin, and extracellular matrix protein 1) and extracellular matrix associated proteins (e.g. azurocidin, myeloperoxidase, neutrophil elastase, matrix metalloproteinase-9 and matrix metalloproteinase 2). Periostin (fold change 3.3) and azurocidin (3.0) had the strongest fold change between IgAN and controls; periostin was also higher in IgAN patients who progressed to ESRD as compared to patients who did not. Conclusion: IgAN is associated with widespread changes of the glomerular extracellular matrix proteome. Proteins important in glomerular sclerosis or inflammation seem to be most strongly increased and periostin might be an important marker of glomerular damage in IgAN. -
Genomic Sequencing of SARS-Cov-2: a Guide to Implementation for Maximum Impact on Public Health
Genomic sequencing of SARS-CoV-2 A guide to implementation for maximum impact on public health 8 January 2021 Genomic sequencing of SARS-CoV-2 A guide to implementation for maximum impact on public health 8 January 2021 Genomic sequencing of SARS-CoV-2: a guide to implementation for maximum impact on public health ISBN 978-92-4-001844-0 (electronic version) ISBN 978-92-4-001845-7 (print version) © World Health Organization 2021 Some rights reserved. This work is available under the Creative Commons Attribution-NonCommercial-ShareAlike 3.0 IGO licence (CC BY-NC-SA 3.0 IGO; https://creativecommons.org/licenses/by-nc-sa/3.0/igo). Under the terms of this licence, you may copy, redistribute and adapt the work for non-commercial purposes, provided the work is appropriately cited, as indicated below. In any use of this work, there should be no suggestion that WHO endorses any specific organization, products or services. The use of the WHO logo is not permitted. If you adapt the work, then you must license your work under the same or equivalent Creative Commons licence. If you create a translation of this work, you should add the following disclaimer along with the suggested citation: “This translation was not created by the World Health Organization (WHO). WHO is not responsible for the content or accuracy of this translation. The original English edition shall be the binding and authentic edition”. Any mediation relating to disputes arising under the licence shall be conducted in accordance with the mediation rules of the World Intellectual Property Organization (http://www.wipo.int/amc/en/mediation/rules/). -
Antipsychotics and the Risk of Sudden Cardiac Death
ORIGINAL INVESTIGATION Antipsychotics and the Risk of Sudden Cardiac Death Sabine M. J. M. Straus, MD; Gyse`le S. Bleumink, MD; Jeanne P. Dieleman, PhD; Johan van der Lei, MD, PhD; Geert W. ‘t Jong, PhD; J. Herre Kingma, MD, PhD; Miriam C. J. M. Sturkenboom, PhD; Bruno H. C. Stricker, PhD Background: Antipsychotics have been associated with Results: The study population comprised 554 cases of prolongation of the corrected QT interval and sudden car- sudden cardiac death. Current use of antipsychotics was diac death. Only a few epidemiological studies have in- associated with a 3-fold increase in risk of sudden car- vestigated this association. We performed a case- diac death. The risk of sudden cardiac death was high- control study to investigate the association between use est among those using butyrophenone antipsychotics, of antipsychotics and sudden cardiac death in a well- those with a defined daily dose equivalent of more than defined community-dwelling population. 0.5 and short-term (Յ90 days) users. The association with current antipsychotic use was higher for witnessed cases Methods: We performed a population-based case-control (n=334) than for unwitnessed cases. study in the Integrated Primary Care Information (IPCI) project, a longitudinal observational database with com- Conclusions: Current use of antipsychotics in a gen- plete medical records from 150 general practitioners. All eral population is associated with an increased risk of sud- instances of death between January 1, 1995, and April 1, den cardiac death, even at a low dose and for indica- 2001, were reviewed. Sudden cardiac death was classified tions other than schizophrenia. -
Curcumin Is a Potent Modulator of Microglial Gene Expression And
Karlstetter et al. Journal of Neuroinflammation 2011, 8:125 JOURNAL OF http://www.jneuroinflammation.com/content/8/1/125 NEUROINFLAMMATION RESEARCH Open Access Curcumin is a potent modulator of microglial gene expression and migration Marcus Karlstetter1†, Elena Lippe1†, Yana Walczak1†, Christoph Moehle2, Alexander Aslanidis1, Myriam Mirza1 and Thomas Langmann1* Abstract Background: Microglial cells are important effectors of the neuronal innate immune system with a major role in chronic neurodegenerative diseases. Curcumin, a major component of tumeric, alleviates pro-inflammatory activities of these cells by inhibiting nuclear factor kappa B (NFkB) signaling. To study the immuno-modulatory effects of curcumin on a transcriptomic level, DNA-microarray analyses were performed with resting and LPS-challenged microglial cells after short-term treatment with curcumin. Methods: Resting and LPS-activated BV-2 cells were stimulated with curcumin and genome-wide mRNA expression patterns were determined using DNA-microarrays. Selected qRT-PCR analyses were performed to confirm newly identified curcumin-regulated genes. The migration potential of microglial cells was determined with wound healing assays and transwell migration assays. Microglial neurotoxicity was estimated by morphological analyses and quantification of caspase 3/7 levels in 661W photoreceptors cultured in the presence of microglia-conditioned medium. Results: Curcumin treatment markedly changed the microglial transcriptome with 49 differentially expressed transcripts in a combined analysis of resting and activated microglial cells. Curcumin effectively triggered anti-inflammatory signals as shown by induced expression of Interleukin 4 and Peroxisome proliferator activated receptor a. Several novel curcumin- induced genes including Netrin G1, Delta-like 1, Platelet endothelial cell adhesion molecule 1,andPlasma cell endoplasmic reticulum protein 1, have been previously associated with adhesion and cell migration. -
Screening of 300 Drugs in Blood Utilizing Second Generation
Forensic Screening of 300 Drugs in Blood Utilizing Exactive Plus High-Resolution Accurate Mass Spectrometer and ExactFinder Software Kristine Van Natta, Marta Kozak, Xiang He Forensic Toxicology use Only Drugs analyzed Compound Compound Compound Atazanavir Efavirenz Pyrilamine Chlorpropamide Haloperidol Tolbutamide 1-(3-Chlorophenyl)piperazine Des(2-hydroxyethyl)opipramol Pentazocine Atenolol EMDP Quinidine Chlorprothixene Hydrocodone Tramadol 10-hydroxycarbazepine Desalkylflurazepam Perimetazine Atropine Ephedrine Quinine Cilazapril Hydromorphone Trazodone 5-(p-Methylphenyl)-5-phenylhydantoin Desipramine Phenacetin Benperidol Escitalopram Quinupramine Cinchonine Hydroquinine Triazolam 6-Acetylcodeine Desmethylcitalopram Phenazone Benzoylecgonine Esmolol Ranitidine Cinnarizine Hydroxychloroquine Trifluoperazine Bepridil Estazolam Reserpine 6-Monoacetylmorphine Desmethylcitalopram Phencyclidine Cisapride HydroxyItraconazole Trifluperidol Betaxolol Ethyl Loflazepate Risperidone 7(2,3dihydroxypropyl)Theophylline Desmethylclozapine Phenylbutazone Clenbuterol Hydroxyzine Triflupromazine Bezafibrate Ethylamphetamine Ritonavir 7-Aminoclonazepam Desmethyldoxepin Pholcodine Clobazam Ibogaine Trihexyphenidyl Biperiden Etifoxine Ropivacaine 7-Aminoflunitrazepam Desmethylmirtazapine Pimozide Clofibrate Imatinib Trimeprazine Bisoprolol Etodolac Rufinamide 9-hydroxy-risperidone Desmethylnefopam Pindolol Clomethiazole Imipramine Trimetazidine Bromazepam Felbamate Secobarbital Clomipramine Indalpine Trimethoprim Acepromazine Desmethyltramadol Pipamperone -
Datasheet Blank Template
SAN TA C RUZ BI OTEC HNOL OG Y, INC . netrin G1 (H-4): sc-393665 BACKGROUND PRODUCT Netrin G1 and netrin G2, also referred to as laminet-1 and laminet-2, are Each vial contains 200 µg IgG 1 kappa light chain in 1.0 ml of PBS with membrane bound axon guidance molecules involved in synaptic formation and < 0.1% sodium azide and 0.1% gelatin. maintenance. They comprise a subgroup within the UNC-6/netrin family. Both genes have been associated with schizophrenia involving single nucleotide APPLICATIONS polymorphisms. They are both expressed in the brain but G1 is most predom - netrin G1 (H-4) is recommended for detection of netrin G1 of human origin inantly expressed in the thalamus and G2 is most predominantly expressed in by Western Blotting (starting dilution 1:100, dilution range 1:100-1:1000), the cortex. These two proteins differ from classical netrins by their failure to immunoprecipitation [1-2 µg per 100-500 µg of total protein (1 ml of cell bind netrin receptors, the presence of a glycosyl phosphatidylinositol mem - lysate)], immunofluorescence (starting dilution 1:50, dilution range 1:50- brane anchor, and the generation of multiple isoforms. Netrin G1 has at least 1:500) and solid phase ELISA (starting dilution 1:30, dilution range 1:30- nine isoforms, all of which are expressed in adult brain. Isoforms G1a, c, d, 1:3000). and e are also expressed in fetal brain. G1c and G1d are the most highly ex- pressed netrin G1 isoforms. Netrin G1 is involved in NMDA receptor function Suitable for use as control antibody for netrin G1 siRNA (h): sc-72290, and may play a role in Rett syndrome (RTT), atypical autism, epilepsy and netrin G1 shRNA Plasmid (h): sc-72290-SH and netrin G1 shRNA (h) mental retardation.