Table S1. Identified Proteins with Exclusive Expression in Cerebellum of Rats of Control, 10Mg F/L and 50Mg F/L Groups
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Targeted Genes and Methodology Details for Neuromuscular Genetic Panels
Targeted Genes and Methodology Details for Neuromuscular Genetic Panels Reference transcripts based on build GRCh37 (hg19) interrogated by Neuromuscular Genetic Panels Next-generation sequencing (NGS) and/or Sanger sequencing is performed Motor Neuron Disease Panel to test for the presence of a mutation in these genes. Gene GenBank Accession Number Regions of homology, high GC-rich content, and repetitive sequences may ALS2 NM_020919 not provide accurate sequence. Therefore, all reported alterations detected ANG NM_001145 by NGS are confirmed by an independent reference method based on laboratory developed criteria. However, this does not rule out the possibility CHMP2B NM_014043 of a false-negative result in these regions. ERBB4 NM_005235 Sanger sequencing is used to confirm alterations detected by NGS when FIG4 NM_014845 appropriate.(Unpublished Mayo method) FUS NM_004960 HNRNPA1 NM_031157 OPTN NM_021980 PFN1 NM_005022 SETX NM_015046 SIGMAR1 NM_005866 SOD1 NM_000454 SQSTM1 NM_003900 TARDBP NM_007375 UBQLN2 NM_013444 VAPB NM_004738 VCP NM_007126 ©2018 Mayo Foundation for Medical Education and Research Page 1 of 14 MC4091-83rev1018 Muscular Dystrophy Panel Muscular Dystrophy Panel Gene GenBank Accession Number Gene GenBank Accession Number ACTA1 NM_001100 LMNA NM_170707 ANO5 NM_213599 LPIN1 NM_145693 B3GALNT2 NM_152490 MATR3 NM_199189 B4GAT1 NM_006876 MYH2 NM_017534 BAG3 NM_004281 MYH7 NM_000257 BIN1 NM_139343 MYOT NM_006790 BVES NM_007073 NEB NM_004543 CAPN3 NM_000070 PLEC NM_000445 CAV3 NM_033337 POMGNT1 NM_017739 CAVIN1 NM_012232 POMGNT2 -
SUPPLEMENTARY DATA Data Supplement To
SUPPLEMENTARY DATA Data supplement to Perivascular adipose tissue controls insulin-stimulated perfusion, mitochondrial protein expression and glucose uptake in muscle through adipomuscular microvascular anastomoses Surname first author Turaihi Authors & Affiliations Turaihi, Alexander H MD1; Serné, Erik H, MD PhD2; Molthoff, Carla FM PhD3; Koning, Jasper J PhD4; Knol, Jaco PhD6; Niessen, Hans W MD PhD5; Goumans, Marie Jose TH PhD7; van Poelgeest, Erik M MD1; Yudkin, John S MD PhD8; Smulders, Yvo M MD PhD2; Connie R Jimenez, PhD6; van Hinsbergh, Victor WM PhD1; Eringa, Etto C PhD1 ©2020 American Diabetes Association. Published online at http://diabetes.diabetesjournals.org/lookup/suppl/doi:10.2337/db18-1066/-/DC1 SUPPLEMENTARY DATA Western immunoblotting Skeletal muscle samples were lysed up in 1D‐sample buffer (10% glycerol, 62.5 mmol/L Tris (pH 6.8), 2% w/v LDS, 2% w/v DTT) and protein concentration was determined using Pierce 660‐nm protein assay (Thermo scientific, Waltham, MA USA 02 451; 22 660) according to the manufacturer's instructions. Heat shock protein 90 immunoblotting was performed by application of samples (5 µg protein) on 4‐15% Criterion TGX gels (Biorad, Veenendaal, the Netherlands, 5 671 084) and semi‐dry blotting onto PVDF membranes (GE Healthcare‐Fisher, RPN1416F), incubated overnight with rat monoclonal HSP90 antibody (1:1000 dilution) after blocking with 5% milk in TBS‐T (137 mM NaCl, 20 mmol/L Tris pH 7.0 and 0.1% (v/v) Tween [Sigma‐Aldrich, P7949]). After 2 hours incubation with anti-rat, horse radish peroxidase-coupled secondary antibody (Thermo Fisher 62-9520), the blot was stained using ECL‐prime (Fisher scientific, 10 308 449) and analysed on an AI‐600 imaging system (GE Healthcare, Life Sciences). -
Table 1. Identified Proteins with Expression Significantly Altered in the Hippocampus of Rats of Exposed Group (Pb) Vs
Table 1. Identified proteins with expression significantly altered in the hippocampus of rats of exposed group (Pb) vs. Control. Fold Change Accession Id a Protein Description Score Pb P35213 14-3-3 protein beta/alpha 85420 −0.835 P62260 14-3-3 protein epsilon 96570 −0.878 P68511 14-3-3 protein eta 85420 −0.844 P68255 14-3-3 protein theta 85420 −0.835 P63102 14-3-3 protein zeta/delta 105051 −0.803 P13233 2',3'-cyclic-nucleotide 3'-phosphodiesterase 151400 1.405 P68035 Actin, alpha cardiac muscle 1 442584 −0.942 P68136 Actin, alpha skeletal muscle 441060 −0.970 P62738 Actin, aortic smooth muscle 438270 −0.970 P60711 Actin, cytoplasmic 1 630104 −0.942 P63259 Actin, cytoplasmic 2 630104 −0.942 P63269 Actin, gamma-enteric smooth muscle 438270 −0.951 Q05962 ADP/ATP translocase 1 60100 −0.554 Q09073 ADP/ATP translocase 2 49102 −0.482 P84079 ADP-ribosylation factor 1 34675 −0.644 P84082 ADP-ribosylation factor 2 22412 −0.644 P61206 ADP-ribosylation factor 3 34675 −0.619 P61751 ADP-ribosylation factor 4 22412 −0.670 P84083 ADP-ribosylation factor 5 22412 −0.625 P04764 Alpha-enolase 46219 −0.951 P23565 Alpha-internexin 9478 1.062 P37377 Alpha-synuclein 89619 −0.771 P13221 Aspartate aminotransferase, cytoplasmic 23661 1.083 P00507 Aspartate aminotransferase, mitochondrial 46049 1.116 P10719 ATP synthase subunit beta, mitochondrial 232442 −0.835 P85969 Beta-soluble NSF attachment protein 9638 1.419 Q63754 Beta-synuclein 66842 −0.779 P11275 Calcium/calmodulin-dependent protein kinase type II subunit alpha 181954 1.105 P08413 Calcium/calmodulin-dependent protein kinase type II subunit beta 80840 1.127 P15791 Calcium/calmodulin-dependent protein kinase type II subunit delta 62682 1.105 Int. -
The Title of the Dissertation
UNIVERSITY OF CALIFORNIA SAN DIEGO Novel network-based integrated analyses of multi-omics data reveal new insights into CD8+ T cell differentiation and mouse embryogenesis A dissertation submitted in partial satisfaction of the requirements for the degree Doctor of Philosophy in Bioinformatics and Systems Biology by Kai Zhang Committee in charge: Professor Wei Wang, Chair Professor Pavel Arkadjevich Pevzner, Co-Chair Professor Vineet Bafna Professor Cornelis Murre Professor Bing Ren 2018 Copyright Kai Zhang, 2018 All rights reserved. The dissertation of Kai Zhang is approved, and it is accept- able in quality and form for publication on microfilm and electronically: Co-Chair Chair University of California San Diego 2018 iii EPIGRAPH The only true wisdom is in knowing you know nothing. —Socrates iv TABLE OF CONTENTS Signature Page ....................................... iii Epigraph ........................................... iv Table of Contents ...................................... v List of Figures ........................................ viii List of Tables ........................................ ix Acknowledgements ..................................... x Vita ............................................. xi Abstract of the Dissertation ................................. xii Chapter 1 General introduction ............................ 1 1.1 The applications of graph theory in bioinformatics ......... 1 1.2 Leveraging graphs to conduct integrated analyses .......... 4 1.3 References .............................. 6 Chapter 2 Systematic -
The Role of Methemoglobin and Carboxyhemoglobin in COVID-19: a Review
Journal of Clinical Medicine Review The Role of Methemoglobin and Carboxyhemoglobin in COVID-19: A Review Felix Scholkmann 1,2,*, Tanja Restin 2, Marco Ferrari 3 and Valentina Quaresima 3 1 Biomedical Optics Research Laboratory, Department of Neonatology, University Hospital Zurich, University of Zurich, 8091 Zurich, Switzerland 2 Newborn Research Zurich, Department of Neonatology, University Hospital Zurich, University of Zurich, 8091 Zurich, Switzerland; [email protected] 3 Department of Life, Health and Environmental Sciences, University of L’Aquila, 67100 L’Aquila, Italy; [email protected] (M.F.); [email protected] (V.Q.) * Correspondence: [email protected]; Tel.: +41-4-4255-9326 Abstract: Following the outbreak of a novel coronavirus (SARS-CoV-2) associated with pneumonia in China (Corona Virus Disease 2019, COVID-19) at the end of 2019, the world is currently facing a global pandemic of infections with SARS-CoV-2 and cases of COVID-19. Since severely ill patients often show elevated methemoglobin (MetHb) and carboxyhemoglobin (COHb) concentrations in their blood as a marker of disease severity, we aimed to summarize the currently available published study results (case reports and cross-sectional studies) on MetHb and COHb concentrations in the blood of COVID-19 patients. To this end, a systematic literature research was performed. For the case of MetHb, seven publications were identified (five case reports and two cross-sectional studies), and for the case of COHb, three studies were found (two cross-sectional studies and one case report). The findings reported in the publications show that an increase in MetHb and COHb can happen in COVID-19 patients, especially in critically ill ones, and that MetHb and COHb can increase to dangerously high levels during the course of the disease in some patients. -
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. -
Supplementary Information Material and Methods
MCT-11-0474 BKM120: a potent and specific pan-PI3K inhibitor Supplementary Information Material and methods Chemicals The EGFR inhibitor NVP-AEE788 (Novartis), the Jak inhibitor I (Merck Calbiochem, #420099) and anisomycin (Alomone labs, # A-520) were prepared as 50 mM stock solutions in 100% DMSO. Doxorubicin (Adriablastin, Pfizer), EGF (Sigma Ref: E9644), PDGF (Sigma, Ref: P4306) and IL-4 (Sigma, Ref: I-4269) stock solutions were prepared as recommended by the manufacturer. For in vivo administration: Temodal (20 mg Temozolomide capsules, Essex Chemie AG, Luzern) was dissolved in 4 mL KZI/glucose (20/80, vol/vol); Taxotere was bought as 40 mg/mL solution (Sanofi Aventis, France), and prepared in KZI/glucose. Antibodies The primary antibodies used were as follows: anti-S473P-Akt (#9271), anti-T308P-Akt (#9276,), anti-S9P-GSK3β (#9336), anti-T389P-p70S6K (#9205), anti-YP/TP-Erk1/2 (#9101), anti-YP/TP-p38 (#9215), anti-YP/TP-JNK1/2 (#9101), anti-Y751P-PDGFR (#3161), anti- p21Cip1/Waf1 (#2946), anti-p27Kip1 (#2552) and anti-Ser15-p53 (#9284) antibodies were from Cell Signaling Technologies; anti-Akt (#05-591), anti-T32P-FKHRL1 (#06-952) and anti- PDGFR (#06-495) antibodies were from Upstate; anti-IGF-1R (#SC-713) and anti-EGFR (#SC-03) antibodies were from Santa Cruz; anti-GSK3α/β (#44610), anti-Y641P-Stat6 (#611566), anti-S1981P-ATM (#200-301), anti-T2609 DNA-PKcs (#GTX24194) and anti- 1 MCT-11-0474 BKM120: a potent and specific pan-PI3K inhibitor Y1316P-IGF-1R were from Bio-Source International, Becton-Dickinson, Rockland, GenTex and internal production, respectively. The 4G10 antibody was from Millipore (#05-321MG). -
Dynamics of the Linc Complex
DYNAMICS OF THE LINC COMPLEX Loic Gazquez University of Manchester School of Biological Sciences 2017 A thesis submitted to the University of Manchester for the degree of Doctor of Philosophy in the Faculty of Biology, Medicine and Health TABLE OF CONTENTS Table of Contents .................................................................................................................................... 2 Abstract.................................................................................................................................................... 4 Declaration .............................................................................................................................................. 5 Copyright statement ................................................................................................................................ 5 Acknowledgements ................................................................................................................................. 6 I. Introduction .................................................................................................................................. 7 Nuclear Envelope and the LINC complex ................................................................................... 7 I. 1.1. The first LINC component: the SUN ................................................................................ 8 I. 1.2. The second LINC component: the KASH ........................................................................ 8 I. 1.1. Structure -
Mitochondrial Cytochrome C Oxidase As a Target Site for Daunomycin in K-562 Cells and Heart Tissue1
[CANCER RESEARCH 53. 1072-1078. March I. 1993] Mitochondrial Cytochrome c Oxidase as a Target Site for Daunomycin in K-562 Cells and Heart Tissue1 Lefkothea C. Papadopoulou and Asterios S. Tsiftsoglou2 iMhoratory of Pharmacology, Department of Pharmaceutical Sciences. Aristotle University' of Thesstiloniki. Thesstiloniki 540 (Ì6,Greece ABSTRACT cells like ADR (20); (/;) DAU interacts selectively with mitochondrial COX; these interactions appear to be specific in nature and may occur Daunomycin and other structurally related anthracyclines can cause in part via the prosthetic group of heme located in two of the several myelosuppression and cardiomyopathy. We explored the possible mecha- nism(s) by which daunomycin (DAU) interacts with target sites in neo- subunits of this enzyme; (c) DAU and ADR inhibited COX activity in plastic hemopoietic cells and heart tissue. We observed that | 'lli(. i|l) VI a dose-dependent fashion that was prevented by exogenously added interacts selectively with mitochondria! hemoproteins isolated from K-562 hemin. In light of these observations, we propose that mitochondrial cells and rat and bovine heart and forms relatively stable protein com COX may serve as a target site for DAU and presumably other plexes. Isolation, purification, and Chromatographie analysis of the mito anthracyclines on highly proliferating neoplastic cells and heart tissue. chondria! components complexed with [JH(G)]DAU revealed that one of the major components involved is cytochrome c oxidase (COX). Both DAU and ADR caused a dose-dependent inhibition of COX activity in vitro, an MATERIALS AND METHODS event prevented by exogenous hemin. The interaction of DAL with COX Chemicals and Biologicals. Hemin was purchased from Eastman Kodak appears to occur via more than one site, one of which at least appears to (Rochester. -
Iron Deficiency in the Rat: Effects on Neutrophil Activation and Metabolism
THEOPHYLLINE AND BRAIN 549 A dietary protein deficiency can affect the susceptibility to the metabolism in children with protein-calorie malnutrition. Am. J. Clin. Nutr., 28: 977 (1975). toxicity of drugs or other agents such as pesticides and herbicides 8. Nakamoto. T. and Miller. S. A.: Effect of vrotein-energy malnutrition on the (2). At the present time, there are no such studies relative to growth df mandible aid long bone in newborn miie and female rats. J. theophylline, although the usage of theophylline is now quite Nutr., 107: 983 (1977). common in the neonatal intensive care environment. Many 9. Nebron, R. M., Resnick, M. D., and Halstmm, W. J.: Developmental outcome of premature infants treated with theophylline. Dev. Pharmacol. Ther., 1: infants therein who are now receiving theophylline therapeuti- 274 ( 1980). cally are being dosed on a body weight basis without considera- 10. Newberne, P. M., Gross, R. L., and Roe, D. A,: Dmg, toxin, nutrient interac- tion of the nutritional status. Our data suggest that, in the animal tions. World Rev. Nutr. Diet., 29: 130 (1978). model, the administration of theophylline in the presence of a 1 I. Pastorova, B., Sova, O., and Burda, J.: Incorporation of I4C-thymidine into liver and brain DNA of protein-deficient rats. Physiol. Bohemoslov., 27: 69 compromised nutritional status may have effects not now appar- (1978). ent. We add our concern to that expressed by others (16) that 12. Prasad, A. S., Dumouchell, E., Kovich, D., and Oberleas, D.: A simple methylxanthine administration may have previously unsus- fluorometric method for the determination of RNA and DNA in tissue. -
Supplementary Figures 1-14 and Supplementary References
SUPPORTING INFORMATION Spatial Cross-Talk Between Oxidative Stress and DNA Replication in Human Fibroblasts Marko Radulovic,1,2 Noor O Baqader,1 Kai Stoeber,3† and Jasminka Godovac-Zimmermann1* 1Division of Medicine, University College London, Center for Nephrology, Royal Free Campus, Rowland Hill Street, London, NW3 2PF, UK. 2Insitute of Oncology and Radiology, Pasterova 14, 11000 Belgrade, Serbia 3Research Department of Pathology and UCL Cancer Institute, Rockefeller Building, University College London, University Street, London WC1E 6JJ, UK †Present Address: Shionogi Europe, 33 Kingsway, Holborn, London WC2B 6UF, UK TABLE OF CONTENTS 1. Supplementary Figures 1-14 and Supplementary References. Figure S-1. Network and joint spatial razor plot for 18 enzymes of glycolysis and the pentose phosphate shunt. Figure S-2. Correlation of SILAC ratios between OXS and OAC for proteins assigned to the SAME class. Figure S-3. Overlap matrix (r = 1) for groups of CORUM complexes containing 19 proteins of the 49-set. Figure S-4. Joint spatial razor plots for the Nop56p complex and FIB-associated complex involved in ribosome biogenesis. Figure S-5. Analysis of the response of emerin nuclear envelope complexes to OXS and OAC. Figure S-6. Joint spatial razor plots for the CCT protein folding complex, ATP synthase and V-Type ATPase. Figure S-7. Joint spatial razor plots showing changes in subcellular abundance and compartmental distribution for proteins annotated by GO to nucleocytoplasmic transport (GO:0006913). Figure S-8. Joint spatial razor plots showing changes in subcellular abundance and compartmental distribution for proteins annotated to endocytosis (GO:0006897). Figure S-9. Joint spatial razor plots for 401-set proteins annotated by GO to small GTPase mediated signal transduction (GO:0007264) and/or GTPase activity (GO:0003924). -
High Definition Analyses of Single Cohort, Whole Genome Sequencing Data Provides a Direct Route
medRxiv preprint doi: https://doi.org/10.1101/2021.08.28.21262560; this version posted September 1, 2021. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity. All rights reserved. No reuse allowed without permission. High definition analyses of single cohort, whole genome sequencing data provides a direct route to defining sub-phenotypes and personalising medicine Joyce KE1,2, Onabanjo E3, Brownlow S3, Nur F3, Olupona KO3, Fakayode K3, Sroya M4, Thomas G4, Ferguson T3, Redhead J3, Millar CM3,5, Cooper N3,5, Layton DM3,5, Boardman-Pretty F6, Caulfield MJ6,7, Genomics England Research Consortium6, Shovlin CL2,3,8* 1Imperial College School of Medicine, Imperial College, London UK; 2Genomics England Respiratory Clinical Interpretation Partnership (GeCIP); 3West London Genomic Medicine Centre, Imperial College Healthcare NHS Trust, London UK; 4Department of Surgery and Cancer, Imperial College London, UK; 5Centre for Haematology, Department of Immunology and Inflammation, Imperial College London UK; 6Genomics England, UK; 7 William Harvey Research Institute, Queen Mary University of London, London UK; 8National Heart and Lung Institute, Imperial College London UK. Word Count 4778 Abstract 150 Figures – 5 Data Supplement File- 1 *Corresponding Author: Claire L. Shovlin PhD FRCP, National Heart and Lung Institute, Imperial Centre for Translational and Experimental Medicine, Imperial College London, Hammersmith Campus, Du Cane Road, London W12 0NN, UK. Email [email protected] NOTE: This preprint reports new research that has not been certified by peer review and should not be used to guide clinical practice.