O-Glcnac Regulation of Mitochondrial Function and Energy Metabolism

Total Page:16

File Type:pdf, Size:1020Kb

O-Glcnac Regulation of Mitochondrial Function and Energy Metabolism O-GlcNAc Regulation of Mitochondrial Function and Energy Metabolism © 2017 Ee Phie Tan B.Sc., University of Iowa, 2011 Submitted to the graduate degree program in Biochemistry and Molecular Biology and the Graduate Faculty of the University of Kansas in partial fulfillment of the requirements for the degree of Doctor of Philosophy. Co-Chairperson: Russell Swerdlow, M.D. Co-Chairperson: Chad Slawson, Ph.D. Gerald Carlson, Ph.D. Antonio Artigues, Ph.D. Hao Zhu, Ph.D. Date Defended: 18 April 2017 ii The dissertation committee for Ee Phie Tan certifies that this is the approved version of the following dissertation: O-GlcNAc Regulation of Mitochondrial Function and Energy Metabolism Co-Chairperson: Russell Swerdlow, M.D. Co-Chairperson: Chad Slawson, Ph.D. Date Approved: 18 April 2017 iii Abstract O-GlcNAc is a post-translational modification (PTM) of a single N-acetylglucosamine sugar attachment on serine or threonine residues of nuclear, cytoplasmic, and mitochondrial proteins. Two opposing enzymes facilitate the modification; O-GlcNAc transferase (OGT) adds the modification, while O-GlcNAcase (OGA) removes it. The addition and the removal of O- GlcNAc, termed O-GlcNAc cycling, is often a dynamic process sensitive to changes in the cellular environment. Disruptions in O-GlcNAcylation contribute to diseases such as diabetes, cancer, and neurodegeneration. Accumulative chronic dysfunctional mitochondria also lead to the development of disease; and importantly, O-GlcNAcylation regulates mitochondrial function. In order to test our first hypothesis that disruptions in O-GlcNAc cycling affect mitochondrial function by changing the mitochondrial proteome, we employed a proteomics screen using SH-SY5Y neuroblastoma cells. We found that OGT and OGA overexpression severely disrupted the mitochondrial proteome, including proteins involved in the respiratory chain and TCA cycle. Furthermore, mitochondrial morphology in the over-expressing cells had disorganized cristae and altered shape and size. Both cellular respiration and glycolysis is impaired. These data support that O-GlcNAc cycling was essential for the proper regulation of mitochondrial function. We next investigated how sustained elevations in cellular O-GlcNAc levels would alter the metabolic profile of the cell. We elevated cellular O-GlcNAc levels by either treating SH- SY5Y cells with low levels of glucosamine (GlcN), the metabolic substrate of OGT, or the OGA inhibitor Thiamet-G (TMG). We found cellular respiration was altered and ATP levels were lower in these cells with sustained elevated O-GlcNAc. Additionally, these cells produce significantly less reactive oxygen species (ROS). Both GlcN and TMG treated cells have iv elongated mitochondria, while mitochondrial fusion/fission protein expressions were decreased. RNA-sequencing analysis showed that the transcriptome is reprogrammed and NRF2 anti- oxidant response is down-regulated. Importantly, sustained O-GlcNAcylation in mice brain and liver validated the metabolic phenotypes seen in cells, whereas liver OGT knockdown elevated ROS levels, impaired mitochondrial respiration, and increased NRF2 anti-oxidant response. Furthermore, we discovered from an indirect calorimetric study that sustained elevated O- GlcNAc promoted weight loss and lowered respiration, skewing mice toward using carbohydrates as their main energy source. Here, our results demonstrated that sustained elevation in O-GlcNAcylation, coupled with increased OGA expression, reprograms energy metabolism and can potentially impact the development of metabolic diseases. Altogether, these studies provide new evidence supporting the role of O-GlcNAc as a critical regulator of mitochondrial function and energy metabolism. v Acknowledgment I would like to take this opportunity to thank my mentor, Dr. Chad Slawson, who has supported me unconditionally throughout my graduate career. I have been able to advance my scientific ability tremendously during these five ‘painful’ graduate school years, truly because of him. His confidence and faith in me, and his generosity and forgiveness towards me are the reasons I used to push myself to continuously be fearless in science and to be my best. The second person that I would like to thank is Dr. Christopher Stipp from the University of Iowa, who was the first person that raised my interests in science. His patience and scientific wisdom inspired me to want to pursue science. I would especially like to thank Dr. Gerald Carlson, who is also one of my committee members, for his encouragement when I encountered some bumpy roads during my graduate school years, and his wise advice on navigating myself to be a better person. Certainly, his advice was proven to be useful! Furthermore, I am grateful to all of my committee members, including Drs. Russell Swerdlow, Antonio Artigues and Hao Zhu for constantly challenging me to become a better scientist during the course of my graduate career. I am thankful for all the faculty, staff, and students in the Biochemistry and Molecular Biology department as my scientific community. Most importantly, I am eternally grateful to my parents and siblings, who always believed in me and cheered me on as I endured all the challenges I encountered. They are certainly my role models to look up to and have helped cultivate my grit in life. I would like to dedicate this dissertation to my parents David Tan and Wan Yiong Yeong, and my sister Sofia Tan and brother Philip Tan. I would like to thank all those friends who made my journey through graduate school an invaluable experience, and also acknowledge the network of individuals who have given me vi support throughout my graduate career, especially Drs. Francesca Duncan (Northwestern University), Maite Villar, Mike Werle, Aric Rogers (MDI Biological Laboratory), Sadie Wignall (Northwestern University), Johnathan Labbadia (Northwestern University), Pedro Reis Rodrigues (The Scripps Research Institute), Sornakala Ganeshkumar, Chooi Ying Sim, Melody Chambers, Steven McGreal, Robert Tessman, Lezi E, Jane Lu, Zhen Zhang, Miranda Machacek, Anish Potnis, Kellyann Jones-Jamtgaard, Pedro Rodrigues, Jeremy Hollis, Nikita Divekar, Timothy Mullen, Amanda Cara, Renee Brielmann, Rachel Gomez, and Gabriel Warner. vii Table of Contents Abstract ......................................................................................................................................... iii! Acknowledgment ........................................................................................................................... v! Chapter 1: Introduction ............................................................................................................... 1! 1.1 Overview ............................................................................................................................................. 1! 1.2 Mitochondria: Metabolic Factories ................................................................................................... 2! 1.3 O-GlcNAc: A Nutrient/Stress Sensing Modification ........................................................................... 3! 1.4 O-GlcNAc Regulates Metabolism ....................................................................................................... 4! Chapter 2: O-linked β-N-Acetylglucosamine Cycling is Important in Regulating Mitochondrial Function ............................................................................................................... 7! 2.1 Introduction ........................................................................................................................................ 7! 2.2 Methods ............................................................................................................................................... 9! 2.2.1 Antibodies .................................................................................................................................... 9! 2.2.2 Cell Culture ................................................................................................................................. 9! 2.2.3 Mitochondrial Isolation ............................................................................................................. 10! 2.2.4 Peptide Identification and Computational Analysis .................................................................. 10! 2.2.5 Electron Microscopy ................................................................................................................. 11! 2.2.6 Cellular Respiration and Glycolysis Measurement ................................................................... 12! 2.2.7 Statistical Analysis .................................................................................................................... 13! 2.3 Results ............................................................................................................................................... 13! 2.3.1 OGT/OGA Overexpression Alters Mitochondrial O-GlcNAcylation and Protein Expression . 13! 2.3.2 OGT/OGA Overexpression Impacts Electron Transport Chain and TCA Protein Expression 22! 2.3.3 Altered O-GlcNAc Cycling Disrupts Mitochondrial Morphology ............................................ 37! viii 2.3.4 OGT/OGA Overexpression Impairs Cellular Respiration and Glycolysis ............................... 39! 2.4 Discussion ......................................................................................................................................... 44! Chapter 3: O-GlcNAc is a
Recommended publications
  • KO Kidney.Xlsx
    Supplemental Table 18: Dietary Impact on the CGL KO Kidney Sulfhydrome DR/AL Accession Molecular Cysteine Spectral Protein Name Number Alternate ID Weight Residues Count Ratio P‐value Ig gamma‐2A chain C region, A allele P01863 (+1) Ighg 36 kDa 10 C 5.952 0.03767 Heterogeneous nuclear ribonucleoprotein M Q9D0E1 (+1) Hnrnpm 78 kDa 6 C 5.000 0.00595 Phospholipase D3 O35405 Pld3 54 kDa 8 C 4.167 0.04761 Ig kappa chain V‐V region L7 (Fragment) P01642 Gm10881 13 kDa 2 C 2.857 0.01232 UPF0160 protein MYG1, mitochondrial Q9JK81 Myg1 43 kDa 7 C 2.333 0.01613 Copper homeostasis protein cutC homolog Q9D8X1 Cutc 29 kDa 7 C 10.333 0.16419 Corticosteroid‐binding globulin Q06770 Serpina6 45 kDa 3 C 10.333 0.16419 28S ribosomal protein S22, mitochondrial Q9CXW2 Mrps22 41 kDa 2 C 7.333 0.3739 Isoform 3 of Agrin A2ASQ1‐3 Agrn 198 kDa 2 C 7.333 0.3739 3‐oxoacyl‐[acyl‐carrier‐protein] synthase, mitochondrial Q9D404 Oxsm 49 kDa 11 C 7.333 0.3739 Cordon‐bleu protein‐like 1 Q3UMF0 (+3)Cobll1 137 kDa 10 C 5.833 0.10658 ADP‐sugar pyrophosphatase Q9JKX6 Nudt5 24 kDa 5 C 4.167 0.15819 Complement C4‐B P01029 C4b 193 kDa 29 C 3.381 0.23959 Protein‐glutamine gamma‐glutamyltransferase 2 P21981 Tgm2 77 kDa 20 C 3.381 0.23959 Isochorismatase domain‐containing protein 1 Q91V64 Isoc1 32 kDa 5 C 3.333 0.10588 Serpin B8 O08800 Serpinb8 42 kDa 11 C 2.903 0.06902 Heterogeneous nuclear ribonucleoprotein A0 Q9CX86 Hnrnpa0 31 kDa 3 C 2.667 0.5461 Proteasome subunit beta type‐8 P28063 Psmb8 30 kDa 5 C 2.583 0.36848 Ig kappa chain V‐V region MOPC 149 P01636 12 kDa 2 C 2.583 0.36848
    [Show full text]
  • Higd1a Is a Positive Regulator of Cytochrome C Oxidase
    Higd1a is a positive regulator of cytochrome c oxidase Takaharu Hayashia,b, Yoshihiro Asanoa,b,1, Yasunori Shintania, Hiroshi Aoyamac, Hidetaka Kiokab, Osamu Tsukamotoa, Masahide Hikitad, Kyoko Shinzawa-Itohd, Kazuaki Takafujie, Shuichiro Higoa,b, Hisakazu Katoa, Satoru Yamazakif, Ken Matsuokab, Atsushi Nakanog, Hiroshi Asanumah, Masanori Asakurag, Tetsuo Minaminob, Yu-ichi Gotoi, Takashi Ogurad, Masafumi Kitakazeg, Issei Komuroj, Yasushi Sakatab, Tomitake Tsukiharad,k, Shinya Yoshikawad, and Seiji Takashimaa,k,1 Departments of aMedical Biochemistry and bCardiovascular Medicine, eCenter for Research Education, and cGraduate School of Pharmaceutical Science, Osaka University Graduate School of Medicine, Suita, Osaka 565-0871, Japan; dDepartment of Life Science, University of Hyogo, 3-2-1 Kouto, Kamigohri, Akoh, Hyogo 678-1297, Japan; kCore Research for Evolutional Science and Technology (CREST), Japan Science and Technology Agency, Kawaguchi, Saitama 332-0012, Japan; Departments of fCell Biology and gClinical Research and Development, National Cerebral and Cardiovascular Center Research Institute, Suita, Osaka 565-8565, Japan; hDepartment of Cardiovascular Science and Technology, Kyoto Prefectural University School of Medicine, Kamigyo-ku, Kyoto 602-8566, Japan; iDepartment of Child Neurology, National Center Hospital of Neurology and Psychiatry, National Center of Neurology and Psychiatry, Kodaira, Tokyo 187-8502, Japan; and jDepartment of Cardiovascular Medicine, Graduate School of Medicine, University of Tokyo, Tokyo 113-8656, Japan Edited by Gottfried Schatz, University of Basel, Reinach, Switzerland, and approved December 16, 2014 (received for review October 15, 2014) Cytochrome c oxidase (CcO) is the only enzyme that uses oxygen as we recently revealed (8). Because CcO is the only enzyme in to produce a proton gradient for ATP production during mitochon- the body that can use oxygen for energy transduction, it has been drial oxidative phosphorylation.
    [Show full text]
  • Molecular Profile of Tumor-Specific CD8+ T Cell Hypofunction in a Transplantable Murine Cancer Model
    Downloaded from http://www.jimmunol.org/ by guest on September 25, 2021 T + is online at: average * The Journal of Immunology , 34 of which you can access for free at: 2016; 197:1477-1488; Prepublished online 1 July from submission to initial decision 4 weeks from acceptance to publication 2016; doi: 10.4049/jimmunol.1600589 http://www.jimmunol.org/content/197/4/1477 Molecular Profile of Tumor-Specific CD8 Cell Hypofunction in a Transplantable Murine Cancer Model Katherine A. Waugh, Sonia M. Leach, Brandon L. Moore, Tullia C. Bruno, Jonathan D. Buhrman and Jill E. Slansky J Immunol cites 95 articles Submit online. Every submission reviewed by practicing scientists ? is published twice each month by Receive free email-alerts when new articles cite this article. Sign up at: http://jimmunol.org/alerts http://jimmunol.org/subscription Submit copyright permission requests at: http://www.aai.org/About/Publications/JI/copyright.html http://www.jimmunol.org/content/suppl/2016/07/01/jimmunol.160058 9.DCSupplemental This article http://www.jimmunol.org/content/197/4/1477.full#ref-list-1 Information about subscribing to The JI No Triage! Fast Publication! Rapid Reviews! 30 days* Why • • • Material References Permissions Email Alerts Subscription Supplementary The Journal of Immunology The American Association of Immunologists, Inc., 1451 Rockville Pike, Suite 650, Rockville, MD 20852 Copyright © 2016 by The American Association of Immunologists, Inc. All rights reserved. Print ISSN: 0022-1767 Online ISSN: 1550-6606. This information is current as of September 25, 2021. The Journal of Immunology Molecular Profile of Tumor-Specific CD8+ T Cell Hypofunction in a Transplantable Murine Cancer Model Katherine A.
    [Show full text]
  • IMPDH2: a New Gene Associated with Dominant Juvenile-Onset Dystonia-Tremor Disorder
    www.nature.com/ejhg BRIEF COMMUNICATION OPEN IMPDH2: a new gene associated with dominant juvenile-onset dystonia-tremor disorder 1,8 1,8 2 3 1,4 2 5 Anna Kuukasjärvi , Juan✉ C. Landoni , Jyrki Kaukonen , Mika Juhakoski , Mari Auranen , Tommi Torkkeli , Vidya Velagapudi and Anu Suomalainen 1,6,7 © The Author(s) 2021 The aetiology of dystonia disorders is complex, and next-generation sequencing has become a useful tool in elucidating the variable genetic background of these diseases. Here we report a deleterious heterozygous truncating variant in the inosine monophosphate dehydrogenasegene(IMPDH2) by whole-exome sequencing, co-segregating with a dominantly inherited dystonia-tremor disease in a large Finnish family. We show that the defect results in degradation of the gene product, causing IMPDH2 deficiency in patient cells. IMPDH2 is the first and rate-limiting enzyme in the de novo biosynthesis of guanine nucleotides, a dopamine synthetic pathway previously linked to childhood or adolescence-onset dystonia disorders. We report IMPDH2 as a new gene to the dystonia disease entity. The evidence underlines the important link between guanine metabolism, dopamine biosynthesis and dystonia. European Journal of Human Genetics; https://doi.org/10.1038/s41431-021-00939-1 INTRODUCTION The disease-onset was between 9 and 20 years of age. Table 1 Dystonias are rare movement disorders characterised by sustained or summarises the clinical presentations. intermittent muscle contractions causing abnormal, often repetitive, movements and/or postures. Dystonia can manifest as an isolated Case report symptom or combined with e.g. parkinsonism or myoclonus [1]. While Patient II-6 is a 46-year-old woman.
    [Show full text]
  • The Genetic Architecture of Hearing Impairment in Mice: Evidence for Frequency Specific 2 Genetic Determinants
    G3: Genes|Genomes|Genetics Early Online, published on September 4, 2015 as doi:10.1534/g3.115.021592 1 The genetic architecture of hearing impairment in mice: evidence for frequency specific 2 genetic determinants. 3 4 Amanda L. Crow1, Jeffrey Ohmen2, Juemei Wang3, Joel Lavinsky3, Jaana Hartiala1, Qingzhong 5 Li4, Xin Li5, Pezhman Salehide 3, Eleazar Eskin6, Calvin Pan7, Aldons J. Lusis7, Hooman 6 Allayee1, Rick A. Friedman3 7 8 1Department of Preventive Medicine and Institute for Genetic Medicine, Keck School of 9 Medicine, University of Southern California, Los Angeles, CA 90033 10 2House Ear Institute, Los Angeles, CA 90057 11 3Department of Otolaryngology and Zilkha Neurogenetic Institute, Keck School of Medicine, 12 University of Southern California, Los Angeles, CA, 90033 13 4Department of Otolaryngology - Head and Neck Surgery, Eye & ENT Hospital of Fudan 14 University, Shanghai 200031, China 15 5Clinical Laboratory Department, First Affiliated Hospital of Nanchang University, Nanchang, 16 Jiangxi Province 330006, China 17 6Department of Computer Science and Inter-Departmental Program in Bioinformatics, 18 University of California, Los Angeles, Los Angeles, CA 90095 19 7Departments of Human Genetics, Medicine, and Microbiology, Immunology, and Molecular 20 Genetics, David Geffen School of Medicine at UCLA, Los Angeles, CA 90095 21 © The Author(s) 2013. Published by the Genetics Society of America. 1 Short Title 2 Genetics of Hearing in Mice 3 4 Keywords 5 Genome-wide association study (GWAS), Hybrid Mouse Diversity Panel (HMDP), genetics, 6 genomics, ABR, hearing, cochlear function 7 8 9 Corresponding Author: 10 Rick A. Friedman 11 USC Keck School of Medicine 12 Zilkha Neurogenetic Institute 13 1501 San Pablo Street (ZNI 231) 14 Los Angeles, CA 90033 15 Tel: (323) 442-4843 16 Fax: (323) 442-2059 17 Email: [email protected] 18 19 1 Abstract 2 Genome-wide association studies (GWAS) have been successfully applied in humans for 3 the study of many complex phenotypes.
    [Show full text]
  • Deamidation of Human Proteins
    Deamidation of human proteins N. E. Robinson*† and A. B. Robinson‡ *Division of Chemistry and Chemical Engineering, California Institute of Technology, Pasadena, CA 91125; and ‡Oregon Institute of Science and Medicine, Cave Junction, OR 97523 Communicated by Frederick Seitz, The Rockefeller University, New York, NY, August 31, 2001 (received for review May 8, 2001) Deamidation of asparaginyl and glutaminyl residues causes time- 3D structure is known (23). This method is more than 95% dependent changes in charge and conformation of peptides and reliable in predicting relative deamidation rates of Asn residues proteins. Quantitative and experimentally verified predictive cal- within a single protein and is also useful for the prediction of culations of the deamidation rates of 1,371 asparaginyl residues in absolute deamidation rates. a representative collection of 126 human proteins have been It is, therefore, now possible to compute the expected deami- performed. These rates suggest that deamidation is a biologically dation rate of any protein for which the primary and 3D relevant phenomenon in a remarkably large percentage of human structures are known, except for very long-lived proteins. These proteins. proteins require measurement of the 400 Gln pentapeptide rates. in vivo deamidation ͉ asparaginyl residues Materials and Methods Calculation Method. The Brookhaven Protein Data Bank (PDB) eamidation of asparaginyl (Asn) and glutaminyl (Gln) was searched to select 126 human proteins of general biochem- Dresidues to produce aspartyl (Asp) and glutamyl (Glu) ical interest and of known 3D structure without bias toward any residues causes structurally and biologically important alter- known data about their deamidation, except for 13 proteins (as ations in peptide and protein structures.
    [Show full text]
  • Kinome Profiling of Clinical Cancer Specimens
    Published OnlineFirst March 23, 2010; DOI: 10.1158/0008-5472.CAN-09-3989 Review Cancer Research Kinome Profiling of Clinical Cancer Specimens Kaushal Parikh and Maikel P. Peppelenbosch Abstract Over the past years novel technologies have emerged to enable the determination of the transcriptome and proteome of clinical samples. These data sets will prove to be of significant value to our elucidation of the mechanisms that govern pathophysiology and may provide biological markers for future guidance in person- alized medicine. However, an equally important goal is to define those proteins that participate in signaling pathways during the disease manifestation itself or those pathways that are made active during successful clinical treatment of the disease: the main challenge now is the generation of large-scale data sets that will allow us to define kinome profiles with predictive properties on the outcome-of-disease and to obtain insight into tissue-specific analysis of kinase activity. This review describes the current techniques available to gen- erate kinome profiles of clinical tissue samples and discusses the future strategies necessary to achieve new insights into disease mechanisms and treatment targets. Cancer Res; 70(7); 2575–8. ©2010 AACR. Background the current state of the cell or tissue as characterized by pro- teomic and metabolic measurements (3). The past five years have seen an exponential increase in In this review we describe and evaluate the various tech- technological development to explore the genome and the niques that have recently become available to study the ki- proteome to understand the molecular basis of disease. How- nomes of clinical tissue samples.
    [Show full text]
  • Supp Material.Pdf
    Simon et al. Supplementary information: Table of contents p.1 Supplementary material and methods p.2-4 • PoIy(I)-poly(C) Treatment • Flow Cytometry and Immunohistochemistry • Western Blotting • Quantitative RT-PCR • Fluorescence In Situ Hybridization • RNA-Seq • Exome capture • Sequencing Supplementary Figures and Tables Suppl. items Description pages Figure 1 Inactivation of Ezh2 affects normal thymocyte development 5 Figure 2 Ezh2 mouse leukemias express cell surface T cell receptor 6 Figure 3 Expression of EZH2 and Hox genes in T-ALL 7 Figure 4 Additional mutation et deletion of chromatin modifiers in T-ALL 8 Figure 5 PRC2 expression and activity in human lymphoproliferative disease 9 Figure 6 PRC2 regulatory network (String analysis) 10 Table 1 Primers and probes for detection of PRC2 genes 11 Table 2 Patient and T-ALL characteristics 12 Table 3 Statistics of RNA and DNA sequencing 13 Table 4 Mutations found in human T-ALLs (see Fig. 3D and Suppl. Fig. 4) 14 Table 5 SNP populations in analyzed human T-ALL samples 15 Table 6 List of altered genes in T-ALL for DAVID analysis 20 Table 7 List of David functional clusters 31 Table 8 List of acquired SNP tested in normal non leukemic DNA 32 1 Simon et al. Supplementary Material and Methods PoIy(I)-poly(C) Treatment. pIpC (GE Healthcare Lifesciences) was dissolved in endotoxin-free D-PBS (Gibco) at a concentration of 2 mg/ml. Mice received four consecutive injections of 150 μg pIpC every other day. The day of the last pIpC injection was designated as day 0 of experiment.
    [Show full text]
  • Structural Bases of the Altered Catalytic Properties of a Pathogenic Variant of Apoptosis Inducing Factor
    Structural bases of the altered catalytic properties of a pathogenic variant of apoptosis inducing factor Luca Sorrentinoa, b , Federica Cossua, b , Mario Milania, b, Alessandro Alivertib *, Eloise Mastrangeloa, b ** aBiophysics Institute, National Research Council c/o Department of Biosciences, Università degli Studi di Milano, Via Celoria 26, 20133 Milano, Italy; bDepartment of Biosciences, Università degli Studi di Milano, via Celoria 26, 20133 Milano, Italy. LS and FC contributed equally to this work. * To whom correspondence should be addressed: Phone: +39 0250314897. Fax: +39 0250314895. E-mail: [email protected] ** To whom correspondence should be addressed: Phone: +39 0250314898. Fax: +39 0250314895. E-mail: [email protected] 1 Abbreviations AIFCT, AIF forms in CT complex with NAD+; AIFOX, AIF forms harboring oxidized FAD; CHCHD4, coiled-coil-helix-coiled-coil-helix domain-containing protein 4; CT, charge transfer; DCIP, 2,6-dichlorophenolindophenol; FADH-, anionic dihydroquinone form of FAD; OXPHOS, oxidative phosphorylation. 2 Abstract The apoptosis-inducing factor (AIF) is a FAD-containing protein playing critical roles in caspase-independent apoptosis and mitochondrial respiratory chain biogenesis and maintenance. While its lethal role is well known, the details of its mitochondrial function remain elusive. So far, nineteen allelic variants of AIF have been associated to human diseases, mainly affecting the nervous system. A strict correlation is emerging between the degree of impairment of its ability to stabilize the charge- transfer (CT) complex between FAD and NAD+ and the severity of the resulting pathology. Recently, we demonstrated that the G307E replacement in murine AIF (equivalent to the pathogenic G308E in the human protein) dramatically decreases the rate of CT complex formation through the destabilization of the flavoprotein interaction with NAD(H).
    [Show full text]
  • Deamidation, Acylation and Proteolysis of a Model Peptide in PLGA Films ⁎ M.L
    Journal of Controlled Release 112 (2006) 111–119 www.elsevier.com/locate/jconrel Deamidation, acylation and proteolysis of a model peptide in PLGA films ⁎ M.L. Houchin a, K. Heppert b, E.M. Topp a, a Department of Pharmaceutical Chemistry, The University of Kansas, 2095 Constant Ave., Lawrence, KS 66047, United States b Higuchi Biosciences Centers, The University of Kansas, Lawrence, KS, United States Received 8 December 2005; accepted 30 January 2006 Available online 9 March 2006 Abstract The relative rates of deamidation, acylation and proteolysis (i.e. amide bond cleavage) were determined for a model peptide (VYPNGA) in poly (DL-lactide-co-glycolide) films. Films were stored at 70°C and either 95%, 75%, 60%, 45%, 28%, or ∼0% relative humidity and at 37°C and 95% relative humidity. Peptide degradation products were identified by ESI+MS/MS and quantitated by LC/MS/MS. Extensive overlap of degradation mechanisms occurred, producing a complex mixture of products. Acylation was the dominant peptide degradation reaction (10–20% of total peptide) at early stages of PLGA hydrolysis and at intermediate relative humidity (60–45% RH). Deamidation and proteolysis were dominant (25–50% and 20–40% of total peptide, respectively) at later stages and at high relative humidity (95–75% RH). Understanding the relative rates of each peptide degradation reaction will allow for improved design of PLGA formulations that preserve the stability of peptide and protein drugs. © 2006 Elsevier B.V. All rights reserved. Keywords: PLGA; Deamidation; Acylation; Proteolysis; Peptide stability 1. Introduction bonds produces lactic and glycolic acid, which are easily metabolized.
    [Show full text]
  • Protein Kinases Phosphorylation/Dephosphorylation Protein Phosphorylation Is One of the Most Important Mechanisms of Cellular Re
    Protein Kinases Phosphorylation/dephosphorylation Protein phosphorylation is one of the most important mechanisms of cellular responses to growth, stress metabolic and hormonal environmental changes. Most mammalian protein kinases have highly a homologous 30 to 32 kDa catalytic domain. • Most common method of reversible modification - activation and localization • Up to 1/3 of cellular proteins can be phosphorylated • Leads to a very fast response to cellular stress, hormonal changes, learning processes, transcription regulation .... • Different than allosteric or Michealis Menten regulation Protein Kinome To date – 518 human kinases known • 50 kinase families between yeast, invertebrate and mammaliane kinomes • 518 human PKs, most (478) belong to single super family whose catalytic domain are homologous. • Kinase dendrogram displays relative similarities based on catalytic domains. • AGC (PKA, PKG, PKC) • CAMK (Casein kinase 1) • CMGC (CDC, MAPK, GSK3, CLK) • STE (Sterile 7, 11 & 20 kinases) • TK (Tryosine kinases memb and cyto) • TKL (Tyrosine kinase-like) • Phosphorylation stabilized thermodynamically - only half available energy used in adding phosphoryl to protein - change in free energy forces phosphorylation reaction in one direction • Phosphatases reverse direction • The rate of reaction of most phosphatases are 1000 times faster • Phosphorylation occurs on Ser/The or Tyr • What differences occur due to the addition of a phosphoryl group? • Regulation of protein phosphorylation varies depending on protein - some turned on or off
    [Show full text]
  • Mir-17-92 Fine-Tunes MYC Expression and Function to Ensure
    ARTICLE Received 31 Mar 2015 | Accepted 22 Sep 2015 | Published 10 Nov 2015 DOI: 10.1038/ncomms9725 OPEN miR-17-92 fine-tunes MYC expression and function to ensure optimal B cell lymphoma growth Marija Mihailovich1, Michael Bremang1, Valeria Spadotto1, Daniele Musiani1, Elena Vitale1, Gabriele Varano2,w, Federico Zambelli3, Francesco M. Mancuso1,w, David A. Cairns1,w, Giulio Pavesi3, Stefano Casola2 & Tiziana Bonaldi1 The synergism between c-MYC and miR-17-19b, a truncated version of the miR-17-92 cluster, is well-documented during tumor initiation. However, little is known about miR-17-19b function in established cancers. Here we investigate the role of miR-17-19b in c-MYC-driven lymphomas by integrating SILAC-based quantitative proteomics, transcriptomics and 30 untranslated region (UTR) analysis upon miR-17-19b overexpression. We identify over one hundred miR-17-19b targets, of which 40% are co-regulated by c-MYC. Downregulation of a new miR-17/20 target, checkpoint kinase 2 (Chek2), increases the recruitment of HuR to c- MYC transcripts, resulting in the inhibition of c-MYC translation and thus interfering with in vivo tumor growth. Hence, in established lymphomas, miR-17-19b fine-tunes c-MYC activity through a tight control of its function and expression, ultimately ensuring cancer cell homeostasis. Our data highlight the plasticity of miRNA function, reflecting changes in the mRNA landscape and 30 UTR shortening at different stages of tumorigenesis. 1 Department of Experimental Oncology, European Institute of Oncology, Via Adamello 16, Milan 20139, Italy. 2 Units of Genetics of B cells and lymphomas, IFOM, FIRC Institute of Molecular Oncology Foundation, Milan 20139, Italy.
    [Show full text]