The Role of Microtubule-Associated Protein 1S (MAP1S) in Regulating Autophagy

Total Page:16

File Type:pdf, Size:1020Kb

The Role of Microtubule-Associated Protein 1S (MAP1S) in Regulating Autophagy University of Manchester The role of microtubule-associated protein 1S (MAP1S) in regulating autophagy in the heart A thesis submitted to the University of Manchester for the degree of Doctor of Philosophy in the Faculty of Biology, Medicine and Health 2019 Yulia Suciati Kohar School of Medical Sciences Division of Cardiovascular Sciences TABLE OF CONTENTS List of Figures ............................................................................................................... 6 List of Tables ............................................................................................................... 10 Abbreviations ............................................................................................................. 12 Abstract ...................................................................................................................... 16 Declaration ................................................................................................................. 18 Copyright statement .................................................................................................. 19 Acknowledgments ...................................................................................................... 20 1. INTRODUCTION .................................................................................................. 22 1.1. The Global Burden of Cardiovascular Disease ........................................... 22 1.2. Coronary artery disease and myocardial infarction................................... 24 1.3. Molecular mechanism of heart failure and myocardial infarction ............ 26 1.4. General overview of cardiac cell death ...................................................... 29 1.4.1. Apoptosis ............................................................................................ 30 1.4.2. Necrosis ............................................................................................... 33 1.4.3. Autophagy- dependent cell death ...................................................... 34 1.5. Autophagy ..................................................... Error! Bookmark not defined. 1.5.1. Types of autophagy ............................................................................. 34 1.5.2. Molecular mechanism of autophagy .................................................. 36 1.5.3. Autophagic flux ................................................................................... 45 1.6. The role of autophagy in cardiac homeostasis .......................................... 47 1.6.1. Autophagy in cardiomyocyte .............................................................. 47 1.6.2. Autophagy in cardiac pathological conditions .................................... 48 1.7. MAP1S ........................................................................................................ 53 1.7.1. Structure and biological function of MAP1 family of proteins ........... 53 1.7.2. Structure and biological function of MAP1S protein .......................... 56 1.7.3. The role of MAP1S in regulating autophagy and other pathologies .. 57 2 1.8. Summary of literature study ...................................................................... 60 1.9. Hypothesis .................................................................................................. 60 1.10. Aim ............................................................................................................. 61 2. MATERIALS AND METHODS ............................................................................... 63 2.1. Generation of MAP1S KO Mice .................................................................. 63 2.2. Molecular analysis ...................................................................................... 64 2.2.1. DNA Extraction .................................................................................... 64 2.2.2. PCR ...................................................................................................... 65 2.2.3. Gel electrophoresis ............................................................................. 66 2.2.4. Isolation of NRCM ............................................................................... 66 2.2.5. Isolation of MSF .................................................................................. 67 2.2.6. Protein expression analysis ................................................................. 68 2.2.7. Protein extraction ............................................................................... 68 2.2.8. Adenovirus productions ...................................................................... 72 2.2.9. siRNA Transfection .............................................................................. 78 2.2.10. pAd GFP-LC3 Transduction ................................................................. 79 2.2.11. pAdKeima, pAdParkin Transduction ................................................... 80 2.2.12. pAd/MAP1S Transduction ................................................................... 80 2.2.13. Lysotracker Analysis ............................................................................ 81 2.2.14. MitoTracker Analysis ........................................................................... 82 2.2.15. Seahorse XF Assay ............................................................................... 83 2.2.16. MTT assay ............................................................................................ 86 2.3. Animal work ............................................................................................... 86 2.3.1. Rapamycin and Chloroquine IP Injection ............................................ 87 2.3.2. TEM ..................................................................................................... 87 2.3.3. Mouse model of myocardial infarction .............................................. 88 3 2.3.4. cTnI analysis ........................................................................................ 88 2.3.5. Echocardiography ............................................................................... 89 2.4. Histological analysis ................................................................................... 91 2.4.1. Tissue fixation with formaldehyde, embedding and sectioning ......... 91 2.4.2. Masson’s Trichrome staining .............................................................. 93 2.4.3. TUNEL staining .................................................................................... 93 2.4.4. H&E staining ........................................................................................ 94 2.5. Statistical analysis ...................................................................................... 95 3. THE ROLE OF MAP1S IN MODULATING AUTOPHAGIC FLUX IN CARDIOMYOCYTES ..................................................................................................... 97 3.1. Background ................................................................................................ 97 3.2. Hypothesis .................................................................................................. 98 3.3. Aims and Objectives ................................................................................... 98 3.4. Results ........................................................................................................ 99 3.4.1. MAP1S is expressed in cardiomyocytes and in cardiac fibroblasts .... 99 3.4.2. MAP1S gene silencing in NRCM ........................................................ 100 3.4.3. Molecular cascade of LC3 activation ................................................ 101 3.4.4. Studies using MAP1S knockout (KO) mice ........................................ 111 3.4.5. The modulation effect of autophagic flux in NRCM’s lysosome ...... 120 3.5. Discussion ................................................................................................. 123 4. THE ROLE OF MAP1S IN REGULATING MITOPHAGY ........................................ 127 4.1. Background .............................................................................................. 127 4.2. Hypothesis ................................................................................................ 129 4.3. Aims and Objectives ................................................................................. 130 4.4. Results ...................................................................................................... 131 4.4.1. MAP1S gene silencing prevents binding of autophagosome with damaged mitochondria ..................................................................... 131 4 4.4.2. MAP1S gene silencing affects mitochondrial organizational network …………………………………………………………………………………………………….135 4.4.3. MAP1S gene silencing displayed reduced mitochondrial function .. 138 4.4.4. MAP1S gene silencing affects apoptotic pathway ............................ 144 4.5. Discussion ................................................................................................. 150 5. THE EFFECTS OF MAP1S GENETIC ABLATION DURING MYOCARDIAL INFARCTION ............................................................................................................. 154 5.1. Background .............................................................................................. 154 5.2. Hypothesis ................................................................................................ 155 5.3. Aims and Objectives ................................................................................
Recommended publications
  • The Capacity of Long-Term in Vitro Proliferation of Acute Myeloid
    The Capacity of Long-Term in Vitro Proliferation of Acute Myeloid Leukemia Cells Supported Only by Exogenous Cytokines Is Associated with a Patient Subset with Adverse Outcome Annette K. Brenner, Elise Aasebø, Maria Hernandez-Valladares, Frode Selheim, Frode Berven, Ida-Sofie Grønningsæter, Sushma Bartaula-Brevik and Øystein Bruserud Supplementary Material S2 of S31 Table S1. Detailed information about the 68 AML patients included in the study. # of blasts Viability Proliferation Cytokine Viable cells Change in ID Gender Age Etiology FAB Cytogenetics Mutations CD34 Colonies (109/L) (%) 48 h (cpm) secretion (106) 5 weeks phenotype 1 M 42 de novo 241 M2 normal Flt3 pos 31.0 3848 low 0.24 7 yes 2 M 82 MF 12.4 M2 t(9;22) wt pos 81.6 74,686 low 1.43 969 yes 3 F 49 CML/relapse 149 M2 complex n.d. pos 26.2 3472 low 0.08 n.d. no 4 M 33 de novo 62.0 M2 normal wt pos 67.5 6206 low 0.08 6.5 no 5 M 71 relapse 91.0 M4 normal NPM1 pos 63.5 21,331 low 0.17 n.d. yes 6 M 83 de novo 109 M1 n.d. wt pos 19.1 8764 low 1.65 693 no 7 F 77 MDS 26.4 M1 normal wt pos 89.4 53,799 high 3.43 2746 no 8 M 46 de novo 26.9 M1 normal NPM1 n.d. n.d. 3472 low 1.56 n.d. no 9 M 68 MF 50.8 M4 normal D835 pos 69.4 1640 low 0.08 n.d.
    [Show full text]
  • MAP1S Antibody Rabbit Polyclonal Antibody Catalog # ALS16470
    10320 Camino Santa Fe, Suite G San Diego, CA 92121 Tel: 858.875.1900 Fax: 858.622.0609 MAP1S Antibody Rabbit Polyclonal Antibody Catalog # ALS16470 Specification MAP1S Antibody - Product Information Application IHC Primary Accession Q66K74 Reactivity Human Host Rabbit Clonality Polyclonal Calculated MW 112kDa KDa MAP1S Antibody - Additional Information Gene ID 55201 Human Kidney: Formalin-Fixed, Paraffin-Embedded (FFPE) Other Names Microtubule-associated protein 1S, MAP-1S, BPY2-interacting protein 1, Microtubule-associated protein 8, Variable charge Y chromosome 2-interacting protein 1, VCY2-interacting protein 1, VCY2IP-1, MAP1S heavy chain, MAP1S light chain, MAP1S, BPY2IP1, C19orf5, MAP8, VCY2IP1 Target/Specificity Human MAP1S Reconstitution & Storage Human Testis: Formalin-Fixed, Aliquot and store at -20°C or -80°C. Avoid Paraffin-Embedded (FFPE) freeze-thaw cycles. Precautions MAP1S Antibody - Background MAP1S Antibody is for research use only and not for use in diagnostic or therapeutic Microtubule-associated protein that mediates procedures. aggregation of mitochondria resulting in cell death and genomic destruction (MAGD). Plays a role in anchoring the microtubule organizing MAP1S Antibody - Protein Information center to the centrosomes. Binds to DNA. Plays a role in apoptosis. Involved in the formation of microtubule bundles (By similarity). Name MAP1S Synonyms BPY2IP1, C19orf5, MAP8, MAP1S Antibody - References VCY2IP1 Wong E.Y.,et al.Biol. Reprod. Function 70:775-784(2004). Microtubule-associated protein that Ding J.,et al.Biochem. Biophys. Res. Commun. mediates aggregation of mitochondria 339:172-179(2006). resulting in cell death and genomic Ota T.,et al.Nat. Genet. 36:40-45(2004). Page 1/2 10320 Camino Santa Fe, Suite G San Diego, CA 92121 Tel: 858.875.1900 Fax: 858.622.0609 destruction (MAGD).
    [Show full text]
  • A Sensitized Mutagenesis Screen in Factor V Leiden Mice Identifies Novel Thrombosis
    bioRxiv preprint doi: https://doi.org/10.1101/080432; this version posted April 6, 2017. 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. A sensitized mutagenesis screen in Factor V Leiden mice identifies novel thrombosis suppressor loci Randal J. Westricka,b,c,i, Kärt Tombergc,e,i, Amy E. Sieberta,i, Guojing Zhuc, Mary E. Winnd, Sarah L. Dobiesc, Sara L. Manningc, Marisa A. Brakea, Audrey C. Cleurenc, Linzi M. Hobbsa, Lena M. Mishacka, Alexander Johnstona, Emilee Kotnikc, David R. Siemieniakf, Jishu Xue, Jun Z. Lie, Thomas L. Saundersg and David Ginsburgc,e,f,h aOakland University Department of Biological Sciences bOakland University Center for Data Science and Big Data Analysis cLife Sciences Institute, University of Michigan dBioinformatics and Biostatistics Core, Van Andel Research Institute eDepartment of Human Genetics, University of Michigan fHoward Hughes Medical Institute, University of Michigan gTransgenic Animal Model Core, University of Michigan hDepartments of Internal Medicine and Pediatrics, University of Michigan iThese authors contributed equally to this work Corresponding author: David Ginsburg, MD. 5214 LSI Building, 210 Washtenaw Avenue, Ann Arbor MI 48109. E- mail: [email protected], Telephone: 734-647-4808, Fax: 734-936-2888. [48 pages, 227 words in abstract, 5,340 words, 30,327 characters not including abstract, title page, figures and references] 1 bioRxiv preprint doi: https://doi.org/10.1101/080432; this version posted April 6, 2017. The copyright holder for this preprint (which was not certified by peer review) is the author/funder.
    [Show full text]
  • LI-DISSERTATION-2017.Pdf
    AUTOPHAGY ENHANCED BY RASSF1A SUPPRESSES DIETHYLNITROSAMINE (DEN)-INDUCED HEPATOCARCINOGENESIS A Dissertation by WENJIAO LI Submitted to the Office of Graduate and Professional Studies of Texas A&M University in partial fulfillment of the requirements for the degree of DOCTOR OF PHILOSOPHY Chair of Committee, Leyuan Liu Committee Members, Fen Wang Roderick H. Dashwood Dekai Zhang Jason T Kimata Head of Department, Warren Zimmer December 2017 Major Subject: Medical Sciences Copyright 2017 Wenjiao Li ABSTRACT Hepatocellular carcinoma (HCC) is the most common type of human liver cancer and it is now the second leading cause of cancer death worldwide. In the United States, its incidence has tripled since 1980 and the death rates are increasing. RASSF1A (Ras association domain family 1 isoform A) is a tumor suppressor and frequently inactivated in HCC by promoter hypermethylation. However, the exact role and detailed mechanism of RASSF1A in the development of HCC has not been investigated. Autophagy is a catabolic pathway to degrade dysfunctional organelles and misfolded or aggregated proteins. Autophagy defects enhance oxidative stresses which trigger DNA damage and genome instability to promote tumorigenesis. The interaction of RASSF1A with microtubule-associated autophagy activator MAP1S triggered us to examine whether RASSF1A itself activates autophagy to suppress HCC through MAP1S. We show here first time that RASSF1A is essential to maintain autophagy activity and RASSF1A depletion causes decreased autophagy flux both in vitro and in vivo. RASSF1A-deletion-caused autophagy defects lead to an acceleration of diethylnitrosamine (DEN)-induced HCC and a 31% reduction in mouse survivals. RASSF1A activates autophagy by enhancing both autophagy initiation and maturation.
    [Show full text]
  • Interdependence of Metals and Its Binding Proteins in Parkinson's
    www.nature.com/npjparkd ARTICLE OPEN Interdependence of metals and its binding proteins in Parkinson’s disease for diagnosis Athira Anirudhan1, Paramasivam Prabu2, Jaya Sanyal3, Tapas Kumar Banerjee4, Gautam Guha5, Ram Murugesan6 and ✉ Shiek S. S. J. Ahmed6 Metalloproteins utilizes cellular metals which plays a crucial function in brain that linked with neurodegenerative disorders. Parkinson’s disease (PD) is a neurodegenerative disorder that affects geriatric population world-wide. Twenty-four metal-binding protein networks were investigated to identify key regulating protein hubs in PD blood and brain. Amongst, aluminum, calcium, copper, iron, and magnesium protein hubs are the key regulators showing the ability to classify PD from control based on thirty- four classification algorithms. Analysis of these five metal proteins hubs showed involvement in environmental information processing, immune, neuronal, endocrine, aging, and signal transduction pathways. Furthermore, gene expression of functional protein in each hub showed significant upregulation of EFEMP2, MMP9, B2M, MEAF2A, and TARDBP in PD. Dysregulating hub proteins imprint the metal availability in a biological system. Hence, metal concentration in serum and cerebrospinal fluid were tested, which were altered and showed significant contribution towards gene expression of metal hub proteins along with the previously reported PD markers. In conclusion, analyzing the levels of serum metals along with the gene expression in PD opens up an ideal and feasible diagnostic intervention for PD. Hence, this will be a cost effective and rapid method for the detection of Parkinson’s disease. 1234567890():,; npj Parkinson’s Disease (2021) 7:3 ; https://doi.org/10.1038/s41531-020-00146-7 INTRODUCTION cellular function9.
    [Show full text]
  • The Microtubule Skeleton and the Evolution of Neuronal Complexity in Vertebrates
    Biol. Chem. 2019; 400(9): 1163–1179 Nataliya I. Trushina, Armen Y. Mulkidjanian and Roland Brandt* The microtubule skeleton and the evolution of neuronal complexity in vertebrates https://doi.org/10.1515/hsz-2019-0149 Received February 4, 2019; accepted April 17, 2019; previously Introduction published online May 22, 2019 The complexity of the nervous system permits the devel- Abstract: The evolution of a highly developed nervous opment of sophisticated behavioral repertoires, such as system is mirrored by the ability of individual neurons to language, tool use, self-awareness, symbolic thought, develop increased morphological complexity. As microtu- cultural learning and consciousness. The basis for the bules (MTs) are crucially involved in neuronal development, development of such a complexity is a high neuronal het- we tested the hypothesis that the evolution of complexity is erogeneity caused by neuronal diversification on the one driven by an increasing capacity of the MT system for regu- hand and a large interconnectivity between the individual lated molecular interactions as it may be implemented by neurons on the other hand (Muotri and Gage, 2006). In a higher number of molecular players and a greater ability addition, the brain constantly needs to adapt to func- of the individual molecules to interact. We performed bio- tional challenges of various kinds during development informatics analysis on different classes of components of and adulthood by a process called neural plasticity (Zilles, the vertebrate neuronal MT cytoskeleton. We show that the 1992). At a single cell level, neural plasticity involves number of orthologs of tubulin structure proteins, MT-bind- changes in the number or the strength of synaptic con- ing proteins and tubulin-sequestering proteins expanded tacts between individual neurons thereby changing the during vertebrate evolution.
    [Show full text]
  • Uva-DARE (Digital Academic Repository)
    UvA-DARE (Digital Academic Repository) A protein prioritization approach tailored for the FA/BRCA pathway Haitjema, A.; Brandt, B.W.; Ameziane, N.; May, P.; Heringa, J.; de Winter, J.P.; Joenje, H.; Dorsman, J.C. DOI 10.1371/journal.pone.0062017 Publication date 2013 Document Version Final published version Published in PLoS ONE Link to publication Citation for published version (APA): Haitjema, A., Brandt, B. W., Ameziane, N., May, P., Heringa, J., de Winter, J. P., Joenje, H., & Dorsman, J. C. (2013). A protein prioritization approach tailored for the FA/BRCA pathway. PLoS ONE, 8(4), e62017. https://doi.org/10.1371/journal.pone.0062017 General rights 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), other than for strictly personal, individual use, unless the work is under an open content license (like Creative Commons). Disclaimer/Complaints regulations If you believe that digital publication of certain material infringes any of your rights or (privacy) interests, please let the Library know, stating your reasons. In case of a legitimate complaint, the Library will make the material inaccessible and/or remove it from the website. Please Ask the Library: https://uba.uva.nl/en/contact, or a letter to: Library of the University of Amsterdam, Secretariat, Singel 425, 1012 WP Amsterdam, The Netherlands. You will be contacted as soon as possible. UvA-DARE is a service provided by the library of the University of Amsterdam (https://dare.uva.nl) Download date:28 Sep 2021 A Protein Prioritization Approach Tailored for the FA/ BRCA Pathway Anneke Haitjema1., Bernd W.
    [Show full text]
  • Biomarkers for Lupus
    (19) TZZ ¥ _T (11) EP 2 375 252 A1 (12) EUROPEAN PATENT APPLICATION (43) Date of publication: (51) Int Cl.: 12.10.2011 Bulletin 2011/41 G01N 33/564 (2006.01) (21) Application number: 11158716.8 (22) Date of filing: 11.06.2009 (84) Designated Contracting States: • Fallon, Rachel, Alison AT BE BG CH CY CZ DE DK EE ES FI FR GB GR Maidenhead, Berkshire SL6 7RJ (GB) HR HU IE IS IT LI LT LU LV MC MK MT NL NO PL • Joyce, Sarah, Paula PT RO SE SI SK TR Maidenhead, Berkshire SL6 7RJ (GB) • Koopman, Jens-Oliver (30) Priority: 11.06.2008 GB 0810709 Maidenhead, Berkshire SL6 7RJ (GB) • McAndrew, Michael, Bernard (62) Document number(s) of the earlier application(s) in Maidenhead, Berkshire SL6 7RJ (GB) accordance with Art. 76 EPC: • Workman,, Nicholas, Ian 09761971.2 / 2 300 826 Maidenhead, Berkshire SL6 7RJ (GB) (71) Applicant: SENSE PROTEOMIC LIMITED (74) Representative: Marshall, Cameron John Yarnton Carpmaels & Ransford Oxford One Southampton Row Oxfordshire OX5 1PF (GB) London WC1B 5HA (GB) (72) Inventors: Remarks: • Ebner, Martin Johannes This application was filed on 17-03-2011 as a Maidenhead, Berkshire SL6 7RJ (GB) divisional application to the application mentioned • Wheeler, Colin, Henry under INID code 62. Maiadenhead, Berkshire SL6 7RJ (GB) (54) Biomarkers for lupus (57) The present invention provides biomarkers val- the progression or regression of lupus, or monitoring the uable in diagnosing or detecting a susceptibility to lupus. progression to a flare of the disease or transition from a The present invention also provides panels of biomarkers flare into remission or monitoring the efficacy of a thera- valuable in diagnosing or detecting a susceptibility to lu- peutic agent to lupus.
    [Show full text]
  • UNIVERSITY of CALIFORNIA RIVERSIDE a Comparison of Gene
    UNIVERSITY OF CALIFORNIA RIVERSIDE A Comparison of Gene Expression Profiles in Rat Brains Following Ischemic Stroke and Neuregulin Treatment A Thesis submitted in partial satisfaction of the requirements for the degree of Master of Science in Biomedical Sciences by Poushali Bhattacharya December 2020 Thesis Committee: Dr. Byron D. Ford, Chairperson Dr. Victor G. J. Rodgers Dr. Monica J. Carson Copyright by Poushali Bhattacharya 2020 The Thesis of Poushali Bhattacharya is approved: Committee Chairperson University of California, Riverside ABSTRACT OF THE THESIS A Comparison of Gene Expression Profiles in Rat Brains Following Ischemic Stroke and Neuregulin Treatment by Poushali Bhattacharya Master of Science, Graduate Program in Biomedical Sciences University of California, Riverside, December 2020 Dr. Byron D. Ford, Chairperson Stroke is a serious cardiovascular disease that can cause long-term disability or even death. About 87% of all strokes are ischemic strokes. Previous studies have shown that neuregulin-1 (NRG-1) was neuroprotective and improved neurological function in rat models of ischemic stroke. In this study, we analyzed early gene expression profiles after stroke and NRG-1 treatment over time. Ischemic stroke was induced by Middle Cerebral Artery Occlusion (MCAO). Rats were randomly allocated into 3 groups: SHAM (Control), MCAO + vehicle and MCAO + NRG-1. Cortical brain tissues were collected 3 hours, 6 hours and 12 hours following MCAO and NRG-1 treatment and were subjected to microarray analysis. Gene expression analysis and ontology associations were performed using a series of bioinformatic tools namely Transcriptome Analysis Console (TAC), Short Time-series Expression Miner (STEM), Enrichr and the Search Tool for the Retrieval of Interacting Genes/Proteins (STRING).
    [Show full text]
  • Integration of TGF-Β-Induced Smad Signaling in the Insulin-Induced Transcriptional Response in Endothelial Cells
    UCSF UC San Francisco Previously Published Works Title Integration of TGF-β-induced Smad signaling in the insulin-induced transcriptional response in endothelial cells. Permalink https://escholarship.org/uc/item/1jp5x4gj Journal Scientific reports, 9(1) ISSN 2045-2322 Authors Budi, Erine H Hoffman, Steven Gao, Shaojian et al. Publication Date 2019-11-18 DOI 10.1038/s41598-019-53490-x Peer reviewed eScholarship.org Powered by the California Digital Library University of California www.nature.com/scientificreports OPEN Integration of TGF-β-induced Smad signaling in the insulin- induced transcriptional response in endothelial cells Erine H. Budi1, Steven Hofman1, Shaojian Gao2, Ying E. Zhang 3 & Rik Derynck1* Insulin signaling governs many processes including glucose homeostasis and metabolism, and is therapeutically used to treat hyperglycemia in diabetes. We demonstrated that insulin-induced Akt activation enhances the sensitivity to TGF-β by directing an increase in cell surface TGF-β receptors from a pool of intracellular TGF-β receptors. Consequently, increased autocrine TGF-β signaling in response to insulin participates in insulin-induced angiogenic responses of endothelial cells. With TGF-β signaling controlling many cell responses, including diferentiation and extracellular matrix deposition, and pathologically promoting fbrosis and cancer cell dissemination, we addressed to which extent autocrine TGF-β signaling participates in insulin-induced gene responses of human endothelial cells. Transcriptome analyses of the insulin response, in the absence or presence of a TGF-β receptor kinase inhibitor, revealed substantial positive and negative contributions of autocrine TGF-β signaling in insulin-responsive gene responses. Furthermore, insulin-induced responses of many genes depended on or resulted from autocrine TGF-β signaling.
    [Show full text]
  • And Mitochondrion- Associated MAP1S Suppresses Genome Instability and Hepatocarcinogenesis
    Published OnlineFirst October 28, 2011; DOI: 10.1158/0008-5472.CAN-11-2170 Cancer Molecular and Cellular Pathobiology Research Autophagy Enhanced by Microtubule- and Mitochondrion- Associated MAP1S Suppresses Genome Instability and Hepatocarcinogenesis Rui Xie, Fen Wang, Wallace L. McKeehan, and Leyuan Liu Abstract Dysfunctional autophagy is associated with tumorigenesis; however, the relationship between the two processes remains unclear. In the present study, we showed that MAP1S levels immediately become elevated in response to diethylnitrosamine-induced or genome instability-driven metabolic stress in a murine model of hepatocarcinoma. Upregulation of MAP1S enhanced autophagy to remove aggresomes and dysfunctional organelles that trigger DNA double-strand breaks and genome instability. The early accumulation of an unstable genome before signs of tumorigenesis indicated that genome instability caused tumorigenesis. After tumori- genesis, tumor development triggered the activation of autophagy to reduce genome instability in tumor foci. We, therefore, conclude that an increase in MAP1S levels triggers autophagy to suppress genome instability such that both the incidence of diethylnitrosamine-induced hepatocarcinogenesis and malignant progression are sup- pressed. Taken together, the data establish a link between MAP1S-enhanced autophagy and suppression of genomic instability and tumorigenesis. Cancer Res; 71(24); 1–10. Ó2011 AACR. Introduction induce robust oxidative stress that might also trigger apoptotic cell death (5). Therefore, autophagy not only promotes survival Autophagy, or self-digestion, is a process that begins with but also controls cell death. Although a link between autop- the formation of isolation membranes that engulf substrates hagic malfunction and cancer was established (6-11), the such as aggregated proteins or damaged organelles to form mechanism by which autophagy suppresses tumorigenesis autophagosomes.
    [Show full text]
  • Epilepsy Kinase CDKL5 Is a DNA Damage Sensor Which Controls Transcriptional Activity at DNA Breaks
    bioRxiv preprint doi: https://doi.org/10.1101/2020.12.10.419747; this version posted December 12, 2020. 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. Epilepsy kinase CDKL5 is a DNA damage sensor which controls transcriptional activity at DNA breaks Taran Khanam1,8, Ivan Muñoz1,8, Florian Weiland1,4, Thomas Carroll1, Barbara N Borsos5, Vasiliki Pantazi5, Meghan Slean1,6, Miroslav Novak1,7, Rachel Toth2, Paul Appleton3, Tibor Pankotai5, Houjiang Zhou1 and John Rouse1,9 1MRC Protein Phosphorylation and Ubiquitylation Unit; and 2MRC Reagents and Services; 3Dundee Imaging Facility, School of Life Sciences, University of Dundee, Dundee DD1 5EH, Scotland, UK 4Current address: Department of Microbial and Molecular Systems (M²S), Laboratory of Enzyme, Fermentation and Brewing Technology (EFBT), Technology Campus Ghent, KU Leuven, Gebroeders De Smetstraat 1, 9000 Ghent, Belgium 5Department of Oral Biology and Experimental Dental Research, Faculty of Dentistry, Tisza Lajos korut 83, University of Szeged, 6722 Szeged, Hungary 6Current address Department of Medical Genetics, Polwarth Building, Foresterhill, Aberdeen AB25 2ZD, Scotland, UK 7Jacqui Wood Cancer Centre, Ninewells Hospital, University of Dundee, Dundee DD1 1UB, Scotland, UK 8These authors contributed equally to this work bioRxiv preprint doi: https://doi.org/10.1101/2020.12.10.419747; this version posted December 12, 2020. 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. 9Corresponding author. Tel: +44–1382–385490; e–mail: [email protected] Mutation of the CDKL5 kinase gene leads to the seizure-prone neurodevelopmental condition CDD (CDKL5 deficiency disorder) and is the most common genetic cause of childhood epilepsy.
    [Show full text]