BMB170 Proteins Lecture 5, Oct. 10Th
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Deletion of Endoplasmic Reticulum Stress-Responsive Co-Chaperone P58ipk Protects Mice from Diet-Induced Steatohepatitis
Zurich Open Repository and Archive University of Zurich Main Library Strickhofstrasse 39 CH-8057 Zurich www.zora.uzh.ch Year: 2018 Deletion of endoplasmic reticulum stress-responsive co-chaperone p58IPK protects mice from diet-induced steatohepatitis Bandla, Harikrishna ; Dasgupta, Debanjali ; Mauer, Amy S ; Nozickova, Barbora ; Kumar, Swarup ; Hirsova, Petra ; Graham, Rondell P ; Malhi, Harmeet DOI: https://doi.org/10.1111/hepr.13052 Posted at the Zurich Open Repository and Archive, University of Zurich ZORA URL: https://doi.org/10.5167/uzh-144890 Journal Article Accepted Version Originally published at: Bandla, Harikrishna; Dasgupta, Debanjali; Mauer, Amy S; Nozickova, Barbora; Kumar, Swarup; Hirsova, Petra; Graham, Rondell P; Malhi, Harmeet (2018). Deletion of endoplasmic reticulum stress-responsive co-chaperone p58IPK protects mice from diet-induced steatohepatitis. Hepatology Research, 48(6):479- 494. DOI: https://doi.org/10.1111/hepr.13052 Deletion of endoplasmic reticulum stress-responsive co-chaperone p58IPK protects mice from diet-induced steatohepatitis Harikrishna Bandla1, Debanjali Dasgupta1, Amy S. Mauer1, Barbora Nozickova2, Swarup Kumar3, Petra Hirsova1, Rondell P. Graham4, Harmeet Malhi1* 1. Division of Gastroenterology and Hepatology, Mayo Clinic, Rochester, MN 2. Universitatsspital Zurich, 8096, Ramistrasse 100, Zurich, Switzerland 3. Department of Medicine, Saint Vincent Hospital, 123 Summer St, Worcester, MA 4. Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN Corresponding author: Harmeet Malhi, M.B.B.S. Associate Professor of Medicine and Physiology Mayo Clinic College of Medicine 200 First Street SW Rochester, MN 55905 Tel: 507 284 0686 Fax: 507 284 0762 Email: [email protected] Funding: This work was supported by DK 97178, DK107402 and DK111378 (H.M.), the Robert and Elizabeth Strickland Career Development Award from the Division of Endocrinology (H.M.), the Gilead Sciences Research Scholars Program in Liver Disease (H.M.) and the Palumbo Foundation (H.M.), the Edward C. -
Computational Genome-Wide Identification of Heat Shock Protein Genes in the Bovine Genome [Version 1; Peer Review: 2 Approved, 1 Approved with Reservations]
F1000Research 2018, 7:1504 Last updated: 08 AUG 2021 RESEARCH ARTICLE Computational genome-wide identification of heat shock protein genes in the bovine genome [version 1; peer review: 2 approved, 1 approved with reservations] Oyeyemi O. Ajayi1,2, Sunday O. Peters3, Marcos De Donato2,4, Sunday O. Sowande5, Fidalis D.N. Mujibi6, Olanrewaju B. Morenikeji2,7, Bolaji N. Thomas 8, Matthew A. Adeleke 9, Ikhide G. Imumorin2,10,11 1Department of Animal Breeding and Genetics, Federal University of Agriculture, Abeokuta, Nigeria 2International Programs, College of Agriculture and Life Sciences, Cornell University, Ithaca, NY, 14853, USA 3Department of Animal Science, Berry College, Mount Berry, GA, 30149, USA 4Departamento Regional de Bioingenierias, Tecnologico de Monterrey, Escuela de Ingenieria y Ciencias, Queretaro, Mexico 5Department of Animal Production and Health, Federal University of Agriculture, Abeokuta, Nigeria 6Usomi Limited, Nairobi, Kenya 7Department of Animal Production and Health, Federal University of Technology, Akure, Nigeria 8Department of Biomedical Sciences, Rochester Institute of Technology, Rochester, NY, 14623, USA 9School of Life Sciences, University of KwaZulu-Natal, Durban, 4000, South Africa 10School of Biological Sciences, Georgia Institute of Technology, Atlanta, GA, 30032, USA 11African Institute of Bioscience Research and Training, Ibadan, Nigeria v1 First published: 20 Sep 2018, 7:1504 Open Peer Review https://doi.org/10.12688/f1000research.16058.1 Latest published: 20 Sep 2018, 7:1504 https://doi.org/10.12688/f1000research.16058.1 Reviewer Status Invited Reviewers Abstract Background: Heat shock proteins (HSPs) are molecular chaperones 1 2 3 known to bind and sequester client proteins under stress. Methods: To identify and better understand some of these proteins, version 1 we carried out a computational genome-wide survey of the bovine 20 Sep 2018 report report report genome. -
Organ Level Protein Networks As a Reference for the Host Effects of the Microbiome
Downloaded from genome.cshlp.org on October 6, 2021 - Published by Cold Spring Harbor Laboratory Press 1 Organ level protein networks as a reference for the host effects of the microbiome 2 3 Robert H. Millsa,b,c,d, Jacob M. Wozniaka,b, Alison Vrbanacc, Anaamika Campeaua,b, Benoit 4 Chassainge,f,g,h, Andrew Gewirtze, Rob Knightc,d, and David J. Gonzaleza,b,d,# 5 6 a Department of Pharmacology, University of California, San Diego, California, USA 7 b Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California, San Diego, 8 California, USA 9 c Department of Pediatrics, and Department of Computer Science and Engineering, University of 10 California, San Diego California, USA 11 d Center for Microbiome Innovation, University of California, San Diego, California, USA 12 e Center for Inflammation, Immunity and Infection, Institute for Biomedical Sciences, Georgia State 13 University, Atlanta, GA, USA 14 f Neuroscience Institute, Georgia State University, Atlanta, GA, USA 15 g INSERM, U1016, Paris, France. 16 h Université de Paris, Paris, France. 17 18 Key words: Microbiota, Tandem Mass Tags, Organ Proteomics, Gnotobiotic Mice, Germ-free Mice, 19 Protein Networks, Proteomics 20 21 # Address Correspondence to: 22 David J. Gonzalez, PhD 23 Department of Pharmacology and Pharmacy 24 University of California, San Diego 25 La Jolla, CA 92093 26 E-mail: [email protected] 27 Phone: 858-822-1218 28 1 Downloaded from genome.cshlp.org on October 6, 2021 - Published by Cold Spring Harbor Laboratory Press 29 Abstract 30 Connections between the microbiome and health are rapidly emerging in a wide range of 31 diseases. -
Gene Targeting Therapies (Roy Alcalay)
Recent Developments in Gene - Targeted Therapies for Parkinson’s Disease Roy Alcalay, MD, MS Alfred and Minnie Bressler Associate Professor of Neurology Division of Movement Disorders Columbia University Medical Center Disclosures Funding: Dr. Alcalay is funded by the National Institutes of Health, the DOD, the Michael J. Fox Foundation and the Parkinson’s Foundation. Dr. Alcalay receives consultation fees from Genzyme/Sanofi, Restorbio, Janssen, and Roche. Gene Localizations Identified in PD Gene Symbol Protein Transmission Chromosome PARK1 SNCA α-synuclein AD 4q22.1 PARK2 PRKN parkin (ubiquitin ligase) AR 6q26 PARK3 ? ? AD 2p13 PARK4 SNCA triplication α-synuclein AD 4q22.1 PARK5 UCH-L1 ubiquitin C-terminal AD 4p13 hydrolase-L1 PARK6 PINK1 PTEN-induced kinase 1 AR 1p36.12 PARK7 DJ-1 DJ-1 AR 1p36.23 PARK8 LRRK2 leucine rich repeat kinase 2 AD 12q12 PARK9 ATP13A2 lysosomal ATPase AR 1p36.13 PARK10 ? ? (Iceland) AR 1p32 PARK11 GIGYF2 GRB10-interacting GYF protein 2 AD 2q37.1 PARK12 ? ? X-R Xq21-q25 PARK13 HTRA2 serine protease AD 2p13.1 PARK14 PLA2G6 phospholipase A2 (INAD) AR 22q13.1 PARK15 FBXO7 F-box only protein 7 AR 22q12.3 PARK16 ? Discovered by GWAS ? 1q32 PARK17 VPS35 vacuolar protein sorting 35 AD 16q11.2 PARK18 EIF4G1 initiation of protein synth AD 3q27.1 PARK19 DNAJC6 auxilin AR 1p31.3 PARK20 SYNJ1 synaptojanin 1 AR 21q22.11 PARK21 DNAJC13 8/RME-8 AD 3q22.1 PARK22 CHCHD2 AD 7p11.2 PARK23 VPS13C AR 15q22 Gene Localizations Identified in PD Disorder Symbol Protein Transmission Chromosome PD GBA β-glucocerebrosidase AD 1q21 SCA2 -
Table 2. Significant
Table 2. Significant (Q < 0.05 and |d | > 0.5) transcripts from the meta-analysis Gene Chr Mb Gene Name Affy ProbeSet cDNA_IDs d HAP/LAP d HAP/LAP d d IS Average d Ztest P values Q-value Symbol ID (study #5) 1 2 STS B2m 2 122 beta-2 microglobulin 1452428_a_at AI848245 1.75334941 4 3.2 4 3.2316485 1.07398E-09 5.69E-08 Man2b1 8 84.4 mannosidase 2, alpha B1 1416340_a_at H4049B01 3.75722111 3.87309653 2.1 1.6 2.84852656 5.32443E-07 1.58E-05 1110032A03Rik 9 50.9 RIKEN cDNA 1110032A03 gene 1417211_a_at H4035E05 4 1.66015788 4 1.7 2.82772795 2.94266E-05 0.000527 NA 9 48.5 --- 1456111_at 3.43701477 1.85785922 4 2 2.8237185 9.97969E-08 3.48E-06 Scn4b 9 45.3 Sodium channel, type IV, beta 1434008_at AI844796 3.79536664 1.63774235 3.3 2.3 2.75319499 1.48057E-08 6.21E-07 polypeptide Gadd45gip1 8 84.1 RIKEN cDNA 2310040G17 gene 1417619_at 4 3.38875643 1.4 2 2.69163229 8.84279E-06 0.0001904 BC056474 15 12.1 Mus musculus cDNA clone 1424117_at H3030A06 3.95752801 2.42838452 1.9 2.2 2.62132809 1.3344E-08 5.66E-07 MGC:67360 IMAGE:6823629, complete cds NA 4 153 guanine nucleotide binding protein, 1454696_at -3.46081884 -4 -1.3 -1.6 -2.6026947 8.58458E-05 0.0012617 beta 1 Gnb1 4 153 guanine nucleotide binding protein, 1417432_a_at H3094D02 -3.13334396 -4 -1.6 -1.7 -2.5946297 1.04542E-05 0.0002202 beta 1 Gadd45gip1 8 84.1 RAD23a homolog (S. -
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. -
University of Groningen the Human HSP70/HSP40 Chaperone Family
University of Groningen The human HSP70/HSP40 chaperone family Hageman, Jurre IMPORTANT NOTE: You are advised to consult the publisher's version (publisher's PDF) if you wish to cite from it. Please check the document version below. Document Version Publisher's PDF, also known as Version of record Publication date: 2008 Link to publication in University of Groningen/UMCG research database Citation for published version (APA): Hageman, J. (2008). The human HSP70/HSP40 chaperone family: a study on its capacity to combat proteotoxic stress. s.n. Copyright Other than for strictly personal use, it is not permitted to download or to forward/distribute the text or part of it without the consent of the author(s) and/or copyright holder(s), unless the work is under an open content license (like Creative Commons). The publication may also be distributed here under the terms of Article 25fa of the Dutch Copyright Act, indicated by the “Taverne” license. More information can be found on the University of Groningen website: https://www.rug.nl/library/open-access/self-archiving-pure/taverne- amendment. Take-down policy If you believe that this document breaches copyright please contact us providing details, and we will remove access to the work immediately and investigate your claim. Downloaded from the University of Groningen/UMCG research database (Pure): http://www.rug.nl/research/portal. For technical reasons the number of authors shown on this cover page is limited to 10 maximum. Download date: 30-09-2021 CHAPTER 1 Introduction - Structural and functional diversities between members of the human HSPH, HSPA and DNAJ chaperone families Jurre Hageman and Harm H. -
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. -
Evidence for Microrna Involvement in Exercise-Associated Neutrophil Gene Expression Changes
J Appl Physiol 109: 252–261, 2010. First published January 28, 2010; doi:10.1152/japplphysiol.01291.2009. HIGHLIGHTED TOPIC Epigenetics in Health and Disease Evidence for microRNA involvement in exercise-associated neutrophil gene expression changes Shlomit Radom-Aizik, Frank Zaldivar, Jr., Stacy Oliver, Pietro Galassetti, and Dan M. Cooper Pediatric Exercise Research Center, Department of Pediatrics, University Children’s Hospital, University of California-Irvine, Orange, California Submitted 17 November 2009; accepted in final form 27 January 2010 Radom-Aizik S, Zaldivar F Jr, Oliver S, Galassetti P, Cooper DM. miRNAs are a group of small noncoding RNA molecules Evidence for microRNA involvement in exercise-associated neutrophil ϳ22 nucleotides (nt) in length that are now known to regulate gene expression changes. J Appl Physiol 109: 252–261, 2010. First a variety of immune functions (1, 3, 24). In general, the published January 28, 2010; doi:10.1152/japplphysiol.01291.2009.—Ex- miRNAs function to mitigate or silence protein translation (2). ercise leads to a rapid change in the profile of gene expression in A growing number of animal-model and human studies point circulating neutrophils. MicroRNAs (miRNAs) have been discovered toward key regulatory roles for miRNAs in the neutrophil (1, to play important roles in immune function and often act to attenuate or silence gene translation. We hypothesized that miRNA expression 24). For example, miRNA-223 has been shown to influence in circulating neutrophils would be affected by brief exercise. Eleven granulocyte development in humans (14). Johnnidus and co- healthy men (19–30 yr old) performed 10, 2-min bouts of cycle workers (21) found marked neutrophilia and abnormal nuclear ergometer exercise interspersed with 1-min rest at a constant work morphology in miRNA-223-deficient transgenic mice. -
Molecular Signature of Anastasis for Reversal of Apoptosis[Version 2; Peer Review: 3 Approved]
F1000Research 2017, 6:43 Last updated: 20 AUG 2021 RESEARCH ARTICLE Molecular signature of anastasis for reversal of apoptosis [version 2; peer review: 3 approved] Ho Man Tang1, C. Conover Talbot Jr1, Ming Chiu Fung2, Ho Lam Tang 3 1Institute for Basic Biomedical Sciences, Johns Hopkins University School of Medicine, Baltimore, USA 2School of Life Sciences, Chinese University of Hong Kong, Shatin, Hong Kong 3W. Harry Feinstone Department of Molecular Microbiology and Immunology, Johns Hopkins University Bloomberg School of Public Health, Baltimore, USA v2 First published: 13 Jan 2017, 6:43 Open Peer Review https://doi.org/10.12688/f1000research.10568.1 Latest published: 09 Feb 2017, 6:43 https://doi.org/10.12688/f1000research.10568.2 Reviewer Status Invited Reviewers Abstract Anastasis (Greek for "rising to life") is a cell recovery phenomenon that 1 2 3 rescues dying cells from the brink of cell death. We recently discovered anastasis to occur after the execution-stage of apoptosis in version 2 vitro and in vivo. Promoting anastasis could in principle preserve (revision) report report injured cells that are difficult to replace, such as cardiomyocytes and 09 Feb 2017 neurons. Conversely, arresting anastasis in dying cancer cells after cancer therapies could improve treatment efficacy. To develop new version 1 therapies that promote or inhibit anastasis, it is essential to identify 13 Jan 2017 report report the key regulators and mediators of anastasis – the therapeutic targets. Therefore, we performed time-course microarray analysis to explore the molecular mechanisms of anastasis during reversal of 1. Takafumi Miyamoto, University of Tokyo, ethanol-induced apoptosis in mouse primary liver cells. -
Mitochondrial Quality Control in Neurodegenerative Diseases: Focus on Parkinson’S Disease and Huntington’S Disease
ADVERTIMENT. Lʼaccés als continguts dʼaquesta tesi queda condicionat a lʼacceptació de les condicions dʼús establertes per la següent llicència Creative Commons: http://cat.creativecommons.org/?page_id=184 ADVERTENCIA. El acceso a los contenidos de esta tesis queda condicionado a la aceptación de las condiciones de uso establecidas por la siguiente licencia Creative Commons: http://es.creativecommons.org/blog/licencias/ WARNING. The access to the contents of this doctoral thesis it is limited to the acceptance of the use conditions set by the following Creative Commons license: https://creativecommons.org/licenses/?lang=en Mitochondrial quality control in neurodegenerative diseases: focus on Parkinson’s disease and Huntington’s disease TESI DOCTORAL 2018 Programa de Doctorat en Neurociències Institut de Neurociències Tesi realitzada al laboratori de Malalties Neurodegeenratives de l’Institut de Recerca de la Vall d’Hebron (VHIR) Doctorand Director Tutor Sandra Franco Iborra Miquel Vila Bover José Rodríguez Álvarez Co-directora Co-directora Celine Perier Marta Martínez Vicente i AGRAÏMENTS En primer lloc vull agraïr al Miquel Vila per l’oportunitat que em va donar de començar a fer la tesi doctoral al seu lab. Gràcies per tenir sempre la porta oberta del teu despatx, per la confiança dipositada en mi i per tot el que m’has ensenyat durant tots aquests anys. A més, he tingut la sort de tenir no només un director de tesis sinó tres! Celine muchas gracias por estar siempre ahí, por ensenyarme tu manera de hacer ciencia (que me encanta!) y por ser siempre tan positiva. En mi manera de trabajar hay un poquito de ti y espero ir pasando este conocimiento a los demás porque en todo laboratorio debería ser obligatorio que hubiera alguien como tu. -
A SARS-Cov-2-Human Protein-Protein Interaction Map Reveals Drug Targets and Potential Drug-Repurposing
A SARS-CoV-2-Human Protein-Protein Interaction Map Reveals Drug Targets and Potential Drug-Repurposing Supplementary Information Supplementary Discussion All SARS-CoV-2 protein and gene functions described in the subnetwork appendices, including the text below and the text found in the individual bait subnetworks, are based on the functions of homologous genes from other coronavirus species. These are mainly from SARS-CoV and MERS-CoV, but when available and applicable other related viruses were used to provide insight into function. The SARS-CoV-2 proteins and genes listed here were designed and researched based on the gene alignments provided by Chan et. al. 1 2020 . Though we are reasonably sure the genes here are well annotated, we want to note that not every protein has been verified to be expressed or functional during SARS-CoV-2 infections, either in vitro or in vivo. In an effort to be as comprehensive and transparent as possible, we are reporting the sub-networks of these functionally unverified proteins along with the other SARS-CoV-2 proteins. In such cases, we have made notes within the text below, and on the corresponding subnetwork figures, and would advise that more caution be taken when examining these proteins and their molecular interactions. Due to practical limits in our sample preparation and data collection process, we were unable to generate data for proteins corresponding to Nsp3, Orf7b, and Nsp16. Therefore these three genes have been left out of the following literature review of the SARS-CoV-2 proteins and the protein-protein interactions (PPIs) identified in this study.