Virus Infection of the CNS Disrupts the Immune-Neural-Synaptic Axis Via
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The Ligands for Human Igg and Their Effector Functions
antibodies Review The Ligands for Human IgG and Their Effector Functions Steven W. de Taeye 1,2,*, Theo Rispens 1 and Gestur Vidarsson 2 1 Sanquin Research, Dept Immunopathology and Landsteiner Laboratory, Amsterdam UMC, University of Amsterdam, 1066 CX Amsterdam, The Netherlands; [email protected] 2 Sanquin Research, Dept Experimental Immunohematology and Landsteiner Laboratory, Amsterdam UMC, University of Amsterdam, 1066 CX Amsterdam, The Netherlands; [email protected] * Correspondence: [email protected] Received: 26 March 2019; Accepted: 18 April 2019; Published: 25 April 2019 Abstract: Activation of the humoral immune system is initiated when antibodies recognize an antigen and trigger effector functions through the interaction with Fc engaging molecules. The most abundant immunoglobulin isotype in serum is Immunoglobulin G (IgG), which is involved in many humoral immune responses, strongly interacting with effector molecules. The IgG subclass, allotype, and glycosylation pattern, among other factors, determine the interaction strength of the IgG-Fc domain with these Fc engaging molecules, and thereby the potential strength of their effector potential. The molecules responsible for the effector phase include the classical IgG-Fc receptors (FcγR), the neonatal Fc-receptor (FcRn), the Tripartite motif-containing protein 21 (TRIM21), the first component of the classical complement cascade (C1), and possibly, the Fc-receptor-like receptors (FcRL4/5). Here we provide an overview of the interactions of IgG with effector molecules and discuss how natural variation on the antibody and effector molecule side shapes the biological activities of antibodies. The increasing knowledge on the Fc-mediated effector functions of antibodies drives the development of better therapeutic antibodies for cancer immunotherapy or treatment of autoimmune diseases. -
Human and Mouse CD Marker Handbook Human and Mouse CD Marker Key Markers - Human Key Markers - Mouse
Welcome to More Choice CD Marker Handbook For more information, please visit: Human bdbiosciences.com/eu/go/humancdmarkers Mouse bdbiosciences.com/eu/go/mousecdmarkers Human and Mouse CD Marker Handbook Human and Mouse CD Marker Key Markers - Human Key Markers - Mouse CD3 CD3 CD (cluster of differentiation) molecules are cell surface markers T Cell CD4 CD4 useful for the identification and characterization of leukocytes. The CD CD8 CD8 nomenclature was developed and is maintained through the HLDA (Human Leukocyte Differentiation Antigens) workshop started in 1982. CD45R/B220 CD19 CD19 The goal is to provide standardization of monoclonal antibodies to B Cell CD20 CD22 (B cell activation marker) human antigens across laboratories. To characterize or “workshop” the antibodies, multiple laboratories carry out blind analyses of antibodies. These results independently validate antibody specificity. CD11c CD11c Dendritic Cell CD123 CD123 While the CD nomenclature has been developed for use with human antigens, it is applied to corresponding mouse antigens as well as antigens from other species. However, the mouse and other species NK Cell CD56 CD335 (NKp46) antibodies are not tested by HLDA. Human CD markers were reviewed by the HLDA. New CD markers Stem Cell/ CD34 CD34 were established at the HLDA9 meeting held in Barcelona in 2010. For Precursor hematopoetic stem cell only hematopoetic stem cell only additional information and CD markers please visit www.hcdm.org. Macrophage/ CD14 CD11b/ Mac-1 Monocyte CD33 Ly-71 (F4/80) CD66b Granulocyte CD66b Gr-1/Ly6G Ly6C CD41 CD41 CD61 (Integrin b3) CD61 Platelet CD9 CD62 CD62P (activated platelets) CD235a CD235a Erythrocyte Ter-119 CD146 MECA-32 CD106 CD146 Endothelial Cell CD31 CD62E (activated endothelial cells) Epithelial Cell CD236 CD326 (EPCAM1) For Research Use Only. -
Genetic Mutations and Mechanisms in Dilated Cardiomyopathy
Genetic mutations and mechanisms in dilated cardiomyopathy Elizabeth M. McNally, … , Jessica R. Golbus, Megan J. Puckelwartz J Clin Invest. 2013;123(1):19-26. https://doi.org/10.1172/JCI62862. Review Series Genetic mutations account for a significant percentage of cardiomyopathies, which are a leading cause of congestive heart failure. In hypertrophic cardiomyopathy (HCM), cardiac output is limited by the thickened myocardium through impaired filling and outflow. Mutations in the genes encoding the thick filament components myosin heavy chain and myosin binding protein C (MYH7 and MYBPC3) together explain 75% of inherited HCMs, leading to the observation that HCM is a disease of the sarcomere. Many mutations are “private” or rare variants, often unique to families. In contrast, dilated cardiomyopathy (DCM) is far more genetically heterogeneous, with mutations in genes encoding cytoskeletal, nucleoskeletal, mitochondrial, and calcium-handling proteins. DCM is characterized by enlarged ventricular dimensions and impaired systolic and diastolic function. Private mutations account for most DCMs, with few hotspots or recurring mutations. More than 50 single genes are linked to inherited DCM, including many genes that also link to HCM. Relatively few clinical clues guide the diagnosis of inherited DCM, but emerging evidence supports the use of genetic testing to identify those patients at risk for faster disease progression, congestive heart failure, and arrhythmia. Find the latest version: https://jci.me/62862/pdf Review series Genetic mutations and mechanisms in dilated cardiomyopathy Elizabeth M. McNally, Jessica R. Golbus, and Megan J. Puckelwartz Department of Human Genetics, University of Chicago, Chicago, Illinois, USA. Genetic mutations account for a significant percentage of cardiomyopathies, which are a leading cause of conges- tive heart failure. -
343747488.Pdf
Washington University School of Medicine Digital Commons@Becker Open Access Publications 6-1-2020 Systematic validation of variants of unknown significance in APP, PSEN1 and PSEN2 Simon Hsu Anna A Pimenova Kimberly Hayes Juan A Villa Matthew J Rosene See next page for additional authors Follow this and additional works at: https://digitalcommons.wustl.edu/open_access_pubs Authors Simon Hsu, Anna A Pimenova, Kimberly Hayes, Juan A Villa, Matthew J Rosene, Madhavi Jere, Alison M Goate, and Celeste M Karch Neurobiology of Disease 139 (2020) 104817 Contents lists available at ScienceDirect Neurobiology of Disease journal homepage: www.elsevier.com/locate/ynbdi Systematic validation of variants of unknown significance in APP, PSEN1 T and PSEN2 Simon Hsua, Anna A. Pimenovab, Kimberly Hayesa, Juan A. Villaa, Matthew J. Rosenea, ⁎ Madhavi Jerea, Alison M. Goateb, Celeste M. Karcha, a Department of Psychiatry, Washington University School of Medicine, 425 S Euclid Avenue, St Louis, MO 63110, USA b Department of Neuroscience, Mount Sinai School of Medicine, New York, NY, USA ARTICLE INFO ABSTRACT Keywords: Alzheimer's disease (AD) is a neurodegenerative disease that is clinically characterized by progressive cognitive APP decline. More than 200 pathogenic mutations have been identified in amyloid-β precursor protein (APP), presenilin PSEN1 1 (PSEN1) and presenilin 2 (PSEN2). Additionally, common and rare variants occur within APP, PSEN1, and PSEN2 PSEN2 that may be risk factors, protective factors, or benign, non-pathogenic polymorphisms. Yet, to date, no Alzheimer's disease single study has carefully examined the effect of all of the variants of unknown significance reported in APP, Cell-based assays PSEN1 and PSEN2 on Aβ isoform levels in vitro. -
Semaphorin 4D Promotes Skeletal Metastasis in Breast Cancer
UCLA UCLA Previously Published Works Title Semaphorin 4D Promotes Skeletal Metastasis in Breast Cancer. Permalink https://escholarship.org/uc/item/1vj106ww Journal PloS one, 11(2) ISSN 1932-6203 Authors Yang, Ying-Hua Buhamrah, Asma Schneider, Abraham et al. Publication Date 2016 DOI 10.1371/journal.pone.0150151 Peer reviewed eScholarship.org Powered by the California Digital Library University of California RESEARCH ARTICLE Semaphorin 4D Promotes Skeletal Metastasis in Breast Cancer Ying-Hua Yang1, Asma Buhamrah1, Abraham Schneider1,2, Yi-Ling Lin3, Hua Zhou1, Amr Bugshan1, John R. Basile1,2* 1 Department of Oncology and Diagnostic Sciences, University of Maryland Dental School, Baltimore, Maryland, United States of America, 2 Greenebaum Cancer Center, Baltimore, Maryland, United States of America, 3 Division of Diagnostic and Surgical Sciences, School of Dentistry, University of California Los Angeles, Los Angeles, California, United States of America * [email protected] Abstract Bone density is controlled by interactions between osteoclasts, which resorb bone, and osteoblasts, which deposit it. The semaphorins and their receptors, the plexins, originally shown to function in the immune system and to provide chemotactic cues for axon guid- ance, are now known to play a role in this process as well. Emerging data have identified OPEN ACCESS Semaphorin 4D (Sema4D) as a product of osteoclasts acting through its receptor Plexin-B1 on osteoblasts to inhibit their function, tipping the balance of bone homeostasis in favor of Citation: Yang Y-H, Buhamrah A, Schneider A, Lin Y- resorption. Breast cancers and other epithelial malignancies overexpress Sema4D, so we L, Zhou H, Bugshan A, et al. (2016) Semaphorin 4D Promotes Skeletal Metastasis in Breast Cancer. -
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. -
Detecting and Tracking Early Neurodegeneration in Familial
University College London Institute of Neurology Detecting and tracking early neurodegeneration in familial Alzheimer’s disease A thesis submitted for the degree of Doctor of Philosophy Philip S.J. Weston 1 For Emma and Evie 2 Declaration of authorship and originality I, Philip S.J. Weston, confirm that the work presented in this thesis is my own. Where information has been derived from other sources, I confirm that this has been indicated in the thesis. Philip S.J. Weston 3 Acknowledgements Above all I would like to thank the FAD family members who so kindly donated their time and energy to participate in research. Without their effort and dedication none of the studies reported in this thesis would have been possible. I am grateful to the Medical Research Council for funding my Clinical Research Training Fellowship, and to the National Institute of Health Research, which provided valuable funds for other aspects of the study. My primary supervisor, Nick Fox, has been a constant source of support, inspiration, and motivation. I am grateful to Nick for entrusting me with such a valuable cohort of special individuals, and for allowing me to oversee the conduct of the studies presented here. I also thank my secondary supervisor Jon Schott for providing additional useful advice and support throughout. Finally I would like to thank my co-workers, collaborators and colleagues. On the two imaging projects: Manja Lehman, Natalie Ryan, Marc Modat, Ivor Simpson, Nico Toussaint, and Seb Ourselin. On the serum neurofilament light project: Henrik Zetterberg, Kaj Blennow, Simon Mead, and Ron Druyeh. On the accelerated long-term forgetting study: Adam Zeman, Chris Butler, Yuying Liang, Seb Crutch, and Susie Henley. -
Genome-Wide Rnai Screens Identify Genes Required for Ricin and PE Intoxications
Developmental Cell Article Genome-Wide RNAi Screens Identify Genes Required for Ricin and PE Intoxications Dimitri Moreau,1 Pankaj Kumar,1 Shyi Chyi Wang,1 Alexandre Chaumet,1 Shin Yi Chew,1 He´ le` ne Chevalley,1 and Fre´ de´ ric Bard1,* 1Institute of Molecular and Cell Biology, 61 Biopolis Drive, Proteos, Singapore 138673, Singapore *Correspondence: [email protected] DOI 10.1016/j.devcel.2011.06.014 SUMMARY In the lumen of the ER, these toxins are thought to interact with elements of the ER-associated degradation (ERAD) pathway, Protein toxins such as Ricin and Pseudomonas which targets misfolded proteins in the ER for degradation. exotoxin (PE) pose major public health challenges. This interaction is proposed to allow translocation to the cytosol Both toxins depend on host cell machinery for inter- without resulting in toxin degradation (Johannes and Ro¨ mer, nalization, retrograde trafficking from endosomes 2010). to the ER, and translocation to cytosol. Although Obviously, this complex set of membrane-trafficking and both toxins follow a similar intracellular route, it is membrane-translocation events involves many host proteins, some of which have already been described (Johannes and unknown how much they rely on the same genes. Ro¨ mer, 2010; Sandvig et al., 2010). Altering the function of these Here we conducted two genome-wide RNAi screens host proteins could in theory provide a toxin antidote. identifying genes required for intoxication and Consistently, inhibition of retrograde traffic by drugs such as demonstrating that requirements are strikingly Brefeldin A (Sandvig et al., 1991)(Yoshida et al., 1991) or Golgi- different between PE and Ricin, with only 13% over- cide A (Sa´ enz et al., 2009) and Retro-1 and 2 (Stechmann et al., lap. -
Genetic Testing for Familial Alzheimer's Disease
Corporate Medical Policy Genetic Testing for Familial Alzheimer’s Disease AHS – M2038 File Name: genetic_testing_for_familial_alzheimers_disease Origination: 1/2019 Last CAP Review: 10/2020 Next CAP Review: 10/2021 Last Review: 10/2020 Description of Procedure or Service Alzheimer disease (AD) is a neurodegenerative disease defined by a gradual decline in memory, cognitive functions, gross atrophy of the brain, and an accumulation of extracellular amyloid plaques and intracellular neurofibrillary tangles (Karch, Cruchaga, & Goate, 2014). Familial Alzheimer disease (FAD) is a rare, inherited form of AD. FAD has a much earlier onset than other forms of Alzheimer disease with symptoms developing in individuals in their thirties or forties. Related Policies General Genetic Testing, Germline Disorders AHS – M2145 General Genetic Testing, Somatic Disorders AHS – M2146 ***Note: This Medical Policy is complex and technical. For questions concerning the technical language and/or specific clinical indications for its use, please consult your physician. Policy BCBSNC will provide coverage for genetic testing for familial Alzheimer disease when it is determined the medical criteria or reimbursement guidelines below are met. Benefits Application This medical policy relates only to the services or supplies described herein. Please refer to the Member's Benefit Booklet for availability of benefits. Member's benefits may vary according to benefit design; therefore member benefit language should be reviewed before applying the terms of this medical policy. -
FCGR2B) Is Associated with the Production of Anti-Cyclic Citrullinated Peptide Autoantibodies in Taiwanese RA
Genes and Immunity (2008) 9, 680–688 & 2008 Macmillan Publishers Limited All rights reserved 1466-4879/08 $32.00 www.nature.com/gene ORIGINAL ARTICLE A transmembrane polymorphism in FcgRIIb (FCGR2B) is associated with the production of anti-cyclic citrullinated peptide autoantibodies in Taiwanese RA J-Y Chen1, C-M Wang2, C-C Ma1, L-A Hsu3, H-H Ho1, Y-JJ Wu1, S-N Kuo1 and J Wu4 1Division of Allergy, Immunology and Rheumatology, Department of Medicine, Chang Gung Memorial Hospital, Chang Gung University College of Medicine, Tao-Yuan, Taiwan, Republic of China; 2Department of Rehabilitation, Chang Gung Memorial Hospital, Chang Gung University College of Medicine, Tao-Yuan, Taiwan, Republic of China; 3Department of Medicine, Division of First Cardiovascular, Chang Gung Memorial Hospital, Chang Gung University College of Medicine, Tao-Yuan, Taiwan, Republic of China and 4Division of Clinical Immunology and Rheumatology, Department of Medicine, University of Alabama at Birmingham, Birmingham, AL, USA The aim of the current study was to determine whether the FcgRIIb 187-Ile/Thr polymorphism is a predisposition factor for subtypes of RA defined by disease severity and production of autoantibodies against cyclic citrullinated peptides (anti-CCPs) in Taiwanese RA patients. Genotype distributions and allele frequencies of FcgRIIb 187-Ile/Thr were compared between 562 normal healthy controls and 640 RA patients as stratified by clinical parameters and autoantibodies. Significant enrichment of 187-Ile allele was observed in RA patients positive for anti-CCP antibodies as compared with the anti-CCP negative RA patients (P ¼ 0.001, OR 1.652 (95% CI 1.210–2.257)) or as compared with the normal controls (P ¼ 0.005, OR 1.348 (95% CI 1.092–1.664)). -
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, -
Retinoid X Receptor Suppresses a Metastasis-Promoting Transcriptional Program in Myeloid Cells Via a Ligand-Insensitive Mechanism
Retinoid X receptor suppresses a metastasis-promoting transcriptional program in myeloid cells via a ligand-insensitive mechanism Mate Kissa, Zsolt Czimmerera,b, Gergely Nagyb, Pawel Bieniasz-Krzywiecc,d, Manuel Ehlingc,d, Attila Papa, Szilard Poliskaa,e, Pal Botof, Petros Tzerpose, Attila Horvatha, Zsuzsanna Kolostyaka, Bence Danielg, Istvan Szatmarif, Massimiliano Mazzonec,d, and Laszlo Nagya,b,g,1 aNuclear Receptor Research Laboratory, Department of Biochemistry and Molecular Biology, University of Debrecen, 4032 Debrecen, Hungary; bMTA-DE “Lendület” Immunogenomics Research Group, University of Debrecen, 4032 Debrecen, Hungary; cLaboratory of Tumor Inflammation and Angiogenesis, Center for Cancer Biology, VIB, 3000 Leuven, Belgium; dLaboratory of Tumor Inflammation and Angiogenesis, Department of Oncology, KU Leuven, 3000 Leuven, Belgium; eUD-GenoMed Ltd., 4032 Debrecen, Hungary; fStem Cell Differentiation Laboratory, Department of Biochemistry and Molecular Biology, University of Debrecen, 4032 Debrecen, Hungary; and gGenomic Control of Metabolism Program, Sanford Burnham Prebys Medical Discovery Institute at Lake Nona, Orlando, FL 32827 Edited by Bert W. O’Malley, Baylor College of Medicine, Houston, TX, and approved August 18, 2017 (received for review January 18, 2017) Retinoid X receptor (RXR) regulates several key functions in myeloid and identified a network of RXR-bound enhancers that control cells, including inflammatory responses, phagocytosis, chemokine angiogenic genes including Vegfa, Hbegf, Litaf,andHipk2 (9). secretion, and proangiogenic activity. Its importance, however, in Activation of these enhancers by RXR induced a proangiogenic tumor-associated myeloid cells is unknown. In this study, we transcriptional program and phenotype (9). Interestingly, we demonstrate that deletion of RXR in myeloid cells enhances lung found that half of the 5,200 RXR-occupied genomic sites were metastasis formation while not affecting primary tumor growth.