Novel Genetic Causes for Cerebral Visual Impairment
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Chr21 Protein-Protein Interactions: Enrichment in Products Involved in Intellectual Disabilities, Autism and Late Onset Alzheimer Disease
bioRxiv preprint doi: https://doi.org/10.1101/2019.12.11.872606; this version posted December 12, 2019. The copyright holder for this preprint (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission. Chr21 protein-protein interactions: enrichment in products involved in intellectual disabilities, autism and Late Onset Alzheimer Disease Julia Viard1,2*, Yann Loe-Mie1*, Rachel Daudin1, Malik Khelfaoui1, Christine Plancon2, Anne Boland2, Francisco Tejedor3, Richard L. Huganir4, Eunjoon Kim5, Makoto Kinoshita6, Guofa Liu7, Volker Haucke8, Thomas Moncion9, Eugene Yu10, Valérie Hindie9, Henri Bléhaut11, Clotilde Mircher12, Yann Herault13,14,15,16,17, Jean-François Deleuze2, Jean- Christophe Rain9, Michel Simonneau1, 18, 19, 20** and Aude-Marie Lepagnol- Bestel1** 1 Centre Psychiatrie & Neurosciences, INSERM U894, 75014 Paris, France 2 Laboratoire de génomique fonctionnelle, CNG, CEA, Evry 3 Instituto de Neurociencias CSIC-UMH, Universidad Miguel Hernandez-Campus de San Juan 03550 San Juan (Alicante), Spain 4 Department of Neuroscience, The Johns Hopkins University School of Medicine, Baltimore, MD 21205 USA 5 Center for Synaptic Brain Dysfunctions, Institute for Basic Science, Daejeon 34141, Republic of Korea 6 Department of Molecular Biology, Division of Biological Science, Nagoya University Graduate School of Science, Furo, Chikusa, Nagoya, Japan 7 Department of Biological Sciences, University of Toledo, Toledo, OH, 43606, USA 8 Leibniz Forschungsinstitut für Molekulare Pharmakologie -
Neural Stem Cell-Derived Exosomes Revert HFD-Dependent Memory Impairment Via CREB-BDNF Signalling
International Journal of Molecular Sciences Article Neural Stem Cell-Derived Exosomes Revert HFD-Dependent Memory Impairment via CREB-BDNF Signalling Matteo Spinelli 1, Francesca Natale 1,2, Marco Rinaudo 1, Lucia Leone 1,2, Daniele Mezzogori 1, Salvatore Fusco 1,2,* and Claudio Grassi 1,2 1 Department of Neuroscience, Università Cattolica del Sacro Cuore, 00168 Rome, Italy; [email protected] (M.S.); [email protected] (F.N.); [email protected] (M.R.); [email protected] (L.L.); [email protected] (D.M.); [email protected] (C.G.) 2 Fondazione Policlinico Universitario Agostino Gemelli IRCCS, 00168 Rome, Italy * Correspondence: [email protected] Received: 6 October 2020; Accepted: 25 November 2020; Published: 26 November 2020 Abstract: Overnutrition and metabolic disorders impair cognitive functions through molecular mechanisms still poorly understood. In mice fed with a high fat diet (HFD) we analysed the expression of synaptic plasticity-related genes and the activation of cAMP response element-binding protein (CREB)-brain-derived neurotrophic factor (BDNF)-tropomyosin receptor kinase B (TrkB) signalling. We found that a HFD inhibited both CREB phosphorylation and the expression of a set of CREB target genes in the hippocampus. The intranasal administration of neural stem cell (NSC)-derived exosomes (exo-NSC) epigenetically restored the transcription of Bdnf, nNOS, Sirt1, Egr3, and RelA genes by inducing the recruitment of CREB on their regulatory sequences. Finally, exo-NSC administration rescued both BDNF signalling and memory in HFD mice. Collectively, our findings highlight novel mechanisms underlying HFD-related memory impairment and provide evidence of the potential therapeutic effect of exo-NSC against metabolic disease-related cognitive decline. -
Defining Functional Interactions During Biogenesis of Epithelial Junctions
ARTICLE Received 11 Dec 2015 | Accepted 13 Oct 2016 | Published 6 Dec 2016 | Updated 5 Jan 2017 DOI: 10.1038/ncomms13542 OPEN Defining functional interactions during biogenesis of epithelial junctions J.C. Erasmus1,*, S. Bruche1,*,w, L. Pizarro1,2,*, N. Maimari1,3,*, T. Poggioli1,w, C. Tomlinson4,J.Lees5, I. Zalivina1,w, A. Wheeler1,w, A. Alberts6, A. Russo2 & V.M.M. Braga1 In spite of extensive recent progress, a comprehensive understanding of how actin cytoskeleton remodelling supports stable junctions remains to be established. Here we design a platform that integrates actin functions with optimized phenotypic clustering and identify new cytoskeletal proteins, their functional hierarchy and pathways that modulate E-cadherin adhesion. Depletion of EEF1A, an actin bundling protein, increases E-cadherin levels at junctions without a corresponding reinforcement of cell–cell contacts. This unexpected result reflects a more dynamic and mobile junctional actin in EEF1A-depleted cells. A partner for EEF1A in cadherin contact maintenance is the formin DIAPH2, which interacts with EEF1A. In contrast, depletion of either the endocytic regulator TRIP10 or the Rho GTPase activator VAV2 reduces E-cadherin levels at junctions. TRIP10 binds to and requires VAV2 function for its junctional localization. Overall, we present new conceptual insights on junction stabilization, which integrate known and novel pathways with impact for epithelial morphogenesis, homeostasis and diseases. 1 National Heart and Lung Institute, Faculty of Medicine, Imperial College London, London SW7 2AZ, UK. 2 Computing Department, Imperial College London, London SW7 2AZ, UK. 3 Bioengineering Department, Faculty of Engineering, Imperial College London, London SW7 2AZ, UK. 4 Department of Surgery & Cancer, Faculty of Medicine, Imperial College London, London SW7 2AZ, UK. -
CD56+ T-Cells in Relation to Cytomegalovirus in Healthy Subjects and Kidney Transplant Patients
CD56+ T-cells in Relation to Cytomegalovirus in Healthy Subjects and Kidney Transplant Patients Institute of Infection and Global Health Department of Clinical Infection, Microbiology and Immunology Thesis submitted in accordance with the requirements of the University of Liverpool for the degree of Doctor in Philosophy by Mazen Mohammed Almehmadi December 2014 - 1 - Abstract Human T cells expressing CD56 are capable of tumour cell lysis following activation with interleukin-2 but their role in viral immunity has been less well studied. The work described in this thesis aimed to investigate CD56+ T-cells in relation to cytomegalovirus infection in healthy subjects and kidney transplant patients (KTPs). Proportions of CD56+ T cells were found to be highly significantly increased in healthy cytomegalovirus-seropositive (CMV+) compared to cytomegalovirus-seronegative (CMV-) subjects (8.38% ± 0.33 versus 3.29%± 0.33; P < 0.0001). In donor CMV-/recipient CMV- (D-/R-)- KTPs levels of CD56+ T cells were 1.9% ±0.35 versus 5.42% ±1.01 in D+/R- patients and 5.11% ±0.69 in R+ patients (P 0.0247 and < 0.0001 respectively). CD56+ T cells in both healthy CMV+ subjects and KTPs expressed markers of effector memory- RA T-cells (TEMRA) while in healthy CMV- subjects and D-/R- KTPs the phenotype was predominantly that of naïve T-cells. Other surface markers, CD8, CD4, CD58, CD57, CD94 and NKG2C were expressed by a significantly higher proportion of CD56+ T-cells in healthy CMV+ than CMV- subjects. Functional studies showed levels of pro-inflammatory cytokines IFN-γ and TNF-α, as well as granzyme B and CD107a were significantly higher in CD56+ T-cells from CMV+ than CMV- subjects following stimulation with CMV antigens. -
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. -
Extraction of Dynamic Patterns from Static Rna Expression Data: an Application to Hematological Neoplasms
EXTRACTION OF DYNAMIC PATTERNS FROM STATIC RNA EXPRESSION DATA: AN APPLICATION TO HEMATOLOGICAL NEOPLASMS Relatore: Barbara Di Camillo Correlatore: Dott.ssa Alessandra Trojani Laureando: Giulia Bianchi ANNO ACCADEMICO 2012/2013 Nothing worth gaining was ever gained without effort. Theodore Roosevelt Index Section 1 INTRODUCTION 1 1.1. Extraction of temporal dynamics from gene expression data 2 1.2. Chronic Lymphocytic Leukemia 3 1.3. IgM Monoclonal Gammopathy of Undetermined Significance and Waldenstrӧm’s Macroglobulinemia 4 Section 2 DATA 7 2.1. CLL Data set 8 2.2. WM/MGUS Data set 8 Section 3 SAMPLE PROGRESSION DISCOVERY 10 3.1. Methods 10 3.2. SPD step by step 12 3.2.1. Input format 12 3.2.2. Gene filtering 12 3.2.3. Clustering 13 3.2.4. Construct MSTs – Compare modules and MSTs 14 3.2.5. Identify modules similar in terms of progression 16 3.3. Results and discussion 17 Section 4 PARAMETER SETTING 19 4.1. Input configuration 19 4.2. Result evaluation 20 4.3. Conclusions 26 Section 5 APPLICATION TO CHRONIC LYMPHOCYTIC LEUKEMIA 28 5.1. Gene selection 28 5.2. SPD results 29 Section 6 APPLICATION TO WALDENSTRÖM’S MACROGLOBULINEMIA AND IgM MGUS 39 6.1. Gene selection 39 6.2. SPD results 40 Section 7 DISCUSSION 45 Acknowledgements 49 Section 8 REFERENCES 51 Section 9 APPENDIX 55 i Section 1 INTRODUCTION Development and evolution of a disease are dynamic processes that, from a molecular point of view, involve changes in some gene expression levels in the involved organs and cells. A possible approach to study the behavior of such dynamic phenomena is to sample individuals, tissues or other relevant units at subsequent time-points throughout the progression. -
Protein Identities in Evs Isolated from U87-MG GBM Cells As Determined by NG LC-MS/MS
Protein identities in EVs isolated from U87-MG GBM cells as determined by NG LC-MS/MS. No. Accession Description Σ Coverage Σ# Proteins Σ# Unique Peptides Σ# Peptides Σ# PSMs # AAs MW [kDa] calc. pI 1 A8MS94 Putative golgin subfamily A member 2-like protein 5 OS=Homo sapiens PE=5 SV=2 - [GG2L5_HUMAN] 100 1 1 7 88 110 12,03704523 5,681152344 2 P60660 Myosin light polypeptide 6 OS=Homo sapiens GN=MYL6 PE=1 SV=2 - [MYL6_HUMAN] 100 3 5 17 173 151 16,91913397 4,652832031 3 Q6ZYL4 General transcription factor IIH subunit 5 OS=Homo sapiens GN=GTF2H5 PE=1 SV=1 - [TF2H5_HUMAN] 98,59 1 1 4 13 71 8,048185945 4,652832031 4 P60709 Actin, cytoplasmic 1 OS=Homo sapiens GN=ACTB PE=1 SV=1 - [ACTB_HUMAN] 97,6 5 5 35 917 375 41,70973209 5,478027344 5 P13489 Ribonuclease inhibitor OS=Homo sapiens GN=RNH1 PE=1 SV=2 - [RINI_HUMAN] 96,75 1 12 37 173 461 49,94108966 4,817871094 6 P09382 Galectin-1 OS=Homo sapiens GN=LGALS1 PE=1 SV=2 - [LEG1_HUMAN] 96,3 1 7 14 283 135 14,70620005 5,503417969 7 P60174 Triosephosphate isomerase OS=Homo sapiens GN=TPI1 PE=1 SV=3 - [TPIS_HUMAN] 95,1 3 16 25 375 286 30,77169764 5,922363281 8 P04406 Glyceraldehyde-3-phosphate dehydrogenase OS=Homo sapiens GN=GAPDH PE=1 SV=3 - [G3P_HUMAN] 94,63 2 13 31 509 335 36,03039959 8,455566406 9 Q15185 Prostaglandin E synthase 3 OS=Homo sapiens GN=PTGES3 PE=1 SV=1 - [TEBP_HUMAN] 93,13 1 5 12 74 160 18,68541938 4,538574219 10 P09417 Dihydropteridine reductase OS=Homo sapiens GN=QDPR PE=1 SV=2 - [DHPR_HUMAN] 93,03 1 1 17 69 244 25,77302971 7,371582031 11 P01911 HLA class II histocompatibility antigen, -
Sex Differences in Glutamate Receptor Gene Expression in Major Depression and Suicide
Molecular Psychiatry (2015) 20, 1057–1068 © 2015 Macmillan Publishers Limited All rights reserved 1359-4184/15 www.nature.com/mp IMMEDIATE COMMUNICATION Sex differences in glutamate receptor gene expression in major depression and suicide AL Gray1, TM Hyde2,3, A Deep-Soboslay2, JE Kleinman2 and MS Sodhi1,4 Accumulating data indicate that the glutamate system is disrupted in major depressive disorder (MDD), and recent clinical research suggests that ketamine, an antagonist of the N-methyl-D-aspartate (NMDA) glutamate receptor (GluR), has rapid antidepressant efficacy. Here we report findings from gene expression studies of a large cohort of postmortem subjects, including subjects with MDD and controls. Our data reveal higher expression levels of the majority of glutamatergic genes tested in the dorsolateral prefrontal cortex (DLPFC) in MDD (F21,59 = 2.32, P = 0.006). Posthoc data indicate that these gene expression differences occurred mostly in the female subjects. Higher expression levels of GRIN1, GRIN2A-D, GRIA2-4, GRIK1-2, GRM1, GRM4, GRM5 and GRM7 were detected in the female patients with MDD. In contrast, GRM5 expression was lower in male MDD patients relative to male controls. When MDD suicides were compared with MDD non-suicides, GRIN2B, GRIK3 and GRM2 were expressed at higher levels in the suicides. Higher expression levels were detected for several additional genes, but these were not statistically significant after correction for multiple comparisons. In summary, our analyses indicate a generalized disruption of the regulation of the GluRs in the DLPFC of females with MDD, with more specific GluR alterations in the suicides and in the male groups. -
Cellular and Molecular Signatures in the Disease Tissue of Early
Cellular and Molecular Signatures in the Disease Tissue of Early Rheumatoid Arthritis Stratify Clinical Response to csDMARD-Therapy and Predict Radiographic Progression Frances Humby1,* Myles Lewis1,* Nandhini Ramamoorthi2, Jason Hackney3, Michael Barnes1, Michele Bombardieri1, Francesca Setiadi2, Stephen Kelly1, Fabiola Bene1, Maria di Cicco1, Sudeh Riahi1, Vidalba Rocher-Ros1, Nora Ng1, Ilias Lazorou1, Rebecca E. Hands1, Desiree van der Heijde4, Robert Landewé5, Annette van der Helm-van Mil4, Alberto Cauli6, Iain B. McInnes7, Christopher D. Buckley8, Ernest Choy9, Peter Taylor10, Michael J. Townsend2 & Costantino Pitzalis1 1Centre for Experimental Medicine and Rheumatology, William Harvey Research Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, Charterhouse Square, London EC1M 6BQ, UK. Departments of 2Biomarker Discovery OMNI, 3Bioinformatics and Computational Biology, Genentech Research and Early Development, South San Francisco, California 94080 USA 4Department of Rheumatology, Leiden University Medical Center, The Netherlands 5Department of Clinical Immunology & Rheumatology, Amsterdam Rheumatology & Immunology Center, Amsterdam, The Netherlands 6Rheumatology Unit, Department of Medical Sciences, Policlinico of the University of Cagliari, Cagliari, Italy 7Institute of Infection, Immunity and Inflammation, University of Glasgow, Glasgow G12 8TA, UK 8Rheumatology Research Group, Institute of Inflammation and Ageing (IIA), University of Birmingham, Birmingham B15 2WB, UK 9Institute of -
BDNF Integrity in Ageing and Stress
MOJ Gerontology & Geriatrics Editorial Open Access BDNF integrity in ageing and stress Editorial Volume 1 Issue 6 - 2017 Alzheimer’s disease (AD) presents a progressive, stage-dependent Trevor Archer age-related neurodegenerative disorder that is characterized by Department of Psychology, University of Gothenburg, Sweden aggregation of toxic forms of amyloid β peptide (Aβ). There is much support for the notion that that brain-derived neurotrophic factor Correspondence: Trevor Archer, Department of Psychology, (BDNF) mediates beneficial effects of exercise on neuroplasticity and University of Gothenburg, Sweden, cellular stress resistance.1‒3 BDNF is associated with neuroplasticity Email [email protected] changes promoting health and well-being whereas these influences Received: July 16, 2017 | Published: August 01, 2017 may be opposed by pro-inflammatory cytokines, key factors in neurodegenerative processes.4 Lower serum levels are linked to greater symptom, cognitive, impairment.5 Thus, interventions, as for example physical exercise, whether acute or chronic, endurance or resistance, promote the mobilization of BDNF and other neurotrophic factors6,7 increase hippocampal and other brain regional resilience8 and therewith progression under conditions of stress when confronted critical life protect against cell death by inducing cell proliferation and maturation episodes or periods, appears to be modulated by the availability and with enhanced neuronal reparation, neurogenesis and the growth and accessibility of BDNF.20‒22 Over a wide range of neurologic and functioning of neurons in neurodegenerative disorders.9,10 Sampaio et psychiatric disease states it is found that the integrity and concentrations al.11 in a review of the therapeutic applications of neurotrophic factors, of brain, serum and plasma BDNF is compromised, particularly under particularly BDNF, postulate that they are essential for survival, stressful conditions. -
Ion Channels
UC Davis UC Davis Previously Published Works Title THE CONCISE GUIDE TO PHARMACOLOGY 2019/20: Ion channels. Permalink https://escholarship.org/uc/item/1442g5hg Journal British journal of pharmacology, 176 Suppl 1(S1) ISSN 0007-1188 Authors Alexander, Stephen PH Mathie, Alistair Peters, John A et al. Publication Date 2019-12-01 DOI 10.1111/bph.14749 License https://creativecommons.org/licenses/by/4.0/ 4.0 Peer reviewed eScholarship.org Powered by the California Digital Library University of California S.P.H. Alexander et al. The Concise Guide to PHARMACOLOGY 2019/20: Ion channels. British Journal of Pharmacology (2019) 176, S142–S228 THE CONCISE GUIDE TO PHARMACOLOGY 2019/20: Ion channels Stephen PH Alexander1 , Alistair Mathie2 ,JohnAPeters3 , Emma L Veale2 , Jörg Striessnig4 , Eamonn Kelly5, Jane F Armstrong6 , Elena Faccenda6 ,SimonDHarding6 ,AdamJPawson6 , Joanna L Sharman6 , Christopher Southan6 , Jamie A Davies6 and CGTP Collaborators 1School of Life Sciences, University of Nottingham Medical School, Nottingham, NG7 2UH, UK 2Medway School of Pharmacy, The Universities of Greenwich and Kent at Medway, Anson Building, Central Avenue, Chatham Maritime, Chatham, Kent, ME4 4TB, UK 3Neuroscience Division, Medical Education Institute, Ninewells Hospital and Medical School, University of Dundee, Dundee, DD1 9SY, UK 4Pharmacology and Toxicology, Institute of Pharmacy, University of Innsbruck, A-6020 Innsbruck, Austria 5School of Physiology, Pharmacology and Neuroscience, University of Bristol, Bristol, BS8 1TD, UK 6Centre for Discovery Brain Science, University of Edinburgh, Edinburgh, EH8 9XD, UK Abstract The Concise Guide to PHARMACOLOGY 2019/20 is the fourth in this series of biennial publications. The Concise Guide provides concise overviews of the key properties of nearly 1800 human drug targets with an emphasis on selective pharmacology (where available), plus links to the open access knowledgebase source of drug targets and their ligands (www.guidetopharmacology.org), which provides more detailed views of target and ligand properties. -
Supplementary Table 8. Cpcp PPI Network Details for Significantly Changed Proteins, As Identified in 3.2, Underlying Each of the Five Functional Domains
Supplementary Table 8. cPCP PPI network details for significantly changed proteins, as identified in 3.2, underlying each of the five functional domains. The network nodes represent each significant protein, followed by the list of interactors. Note that identifiers were converted to gene names to facilitate PPI database queries. Functional Domain Node Interactors Development and Park7 Rack1 differentiation Kcnma1 Atp6v1a Ywhae Ywhaz Pgls Hsd3b7 Development and Prdx6 Ncoa3 differentiation Pla2g4a Sufu Ncf2 Gstp1 Grin2b Ywhae Pgls Hsd3b7 Development and Atp1a2 Kcnma1 differentiation Vamp2 Development and Cntn1 Prnp differentiation Ywhaz Clstn1 Dlg4 App Ywhae Ywhab Development and Rac1 Pak1 differentiation Cdc42 Rhoa Dlg4 Ctnnb1 Mapk9 Mapk8 Pik3cb Sod1 Rrad Epb41l2 Nono Ltbp1 Evi5 Rbm39 Aplp2 Smurf2 Grin1 Grin2b Xiap Chn2 Cav1 Cybb Pgls Ywhae Development and Hbb-b1 Atp5b differentiation Hba Kcnma1 Got1 Aldoa Ywhaz Pgls Hsd3b4 Hsd3b7 Ywhae Development and Myh6 Mybpc3 differentiation Prkce Ywhae Development and Amph Capn2 differentiation Ap2a2 Dnm1 Dnm3 Dnm2 Atp6v1a Ywhab Development and Dnm3 Bin1 differentiation Amph Pacsin1 Grb2 Ywhae Bsn Development and Eef2 Ywhaz differentiation Rpgrip1l Atp6v1a Nphp1 Iqcb1 Ezh2 Ywhae Ywhab Pgls Hsd3b7 Hsd3b4 Development and Gnai1 Dlg4 differentiation Development and Gnao1 Dlg4 differentiation Vamp2 App Ywhae Ywhab Development and Psmd3 Rpgrip1l differentiation Psmd4 Hmga2 Development and Thy1 Syp differentiation Atp6v1a App Ywhae Ywhaz Ywhab Hsd3b7 Hsd3b4 Development and Tubb2a Ywhaz differentiation Nphp4