HDAC6, at the Crossroads Between Cytoskeleton and Cell Signaling by Acetylation and Ubiquitination
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Mapping Influenza-Induced Posttranslational Modifications On
viruses Article Mapping Influenza-Induced Posttranslational Modifications on Histones from CD8+ T Cells Svetlana Rezinciuc 1, Zhixin Tian 2, Si Wu 2, Shawna Hengel 2, Ljiljana Pasa-Tolic 2 and Heather S. Smallwood 1,3,* 1 Department of Pediatrics, University of Tennessee Health Science Center, Memphis, TN 38163, USA; [email protected] 2 Environmental Molecular Sciences Laboratory, Pacific Northwest National Laboratory, Richland, WA 99354, USA; [email protected] (Z.T.); [email protected] (S.W.); [email protected] (S.H.); [email protected] (L.P.-T.) 3 Children’s Foundation Research Institute, Memphis, TN 38105, USA * Correspondence: [email protected]; Tel.: +1-(901)-448–3068 Academic Editor: Italo Tempera Received: 10 October 2020; Accepted: 2 December 2020; Published: 8 December 2020 Abstract: T cell function is determined by transcriptional networks that are regulated by epigenetic programming via posttranslational modifications (PTMs) to histone proteins and DNA. Bottom-up mass spectrometry (MS) can identify histone PTMs, whereas intact protein analysis by MS can detect species missed by bottom-up approaches. We used a novel approach of online two-dimensional liquid chromatography-tandem MS with high-resolution reversed-phase liquid chromatography (RPLC), alternating electron transfer dissociation (ETD) and collision-induced dissociation (CID) on precursor ions to maximize fragmentation of uniquely modified species. The first online RPLC separation sorted histone families, then RPLC or weak cation exchange hydrophilic interaction liquid chromatography (WCX-HILIC) separated species heavily clad in PTMs. Tentative identifications were assigned by matching proteoform masses to predicted theoretical masses that were verified with tandem MS. We used this innovative approach for histone-intact protein PTM mapping (HiPTMap) to identify and quantify proteoforms purified from CD8 T cells after in vivo influenza infection. -
Nitric Oxide Mediated Redox Regulation of Protein Homeostasis T Irmgard Tegeder
Cellular Signalling 53 (2019) 348–356 Contents lists available at ScienceDirect Cellular Signalling journal homepage: www.elsevier.com/locate/cellsig Nitric oxide mediated redox regulation of protein homeostasis T Irmgard Tegeder Institute of Clinical Pharmacology, Goethe University Hospital Frankfurt, Theodor Stern Kai 7, 60590 Frankfurt, Germany ARTICLE INFO ABSTRACT Keywords: Nitric oxide is a versatile diffusible signaling molecule, whose biosynthesis by three NO synthases (NOS) is tightly regulated Nitric oxide at transcriptional and posttranslational levels, availability of co-factors, and calcium binding. Above normal levels of NO Chaperone have beneficial protective effects for example in the cardiovascular system, but also contribute to the pathophysiology inthe Ubiquitin context of inflammatory diseases, and to aging and neurodegeneration in the nervous system. The effect specificity relieson Aging the functional and spatial specificity of the NOS isoenzymes, and on the duality of two major signaling mechanisms (i) Proteostasis activation of soluble guanylycylase (sGC)-dependent cGMP production and (ii) direct S-nitrosylation of redox sensitive cy- Nitrosylation steines of susceptible proteins. The present review summarizes the functional implications of S-nitrosylation in the context of proteostasis, and focuses on two NO target proteins, heat shock cognate of 70 kDa (Hsc70/HSPA8) and the ubiquitin 2 ligase (UBE2D), because both are modified on functionally critical cysteines and are key regulators of chaperone mediated and assisted autophagy and proteasomal protein degradation. SNO modifications of these candidates are associated with protein accumulations and adoption of a senescent phenotype of neuronal cells suggesting that S-nitrosylations of protein homeo- static machineries contribute to aging phenomena. 1. Introduction PKG1, [15] leading to smooth muscle relaxation via regulation of intracellular calcium stores [16] and actin-myosin dynamics. -
An Overview of the Role of Hdacs in Cancer Immunotherapy
International Journal of Molecular Sciences Review Immunoepigenetics Combination Therapies: An Overview of the Role of HDACs in Cancer Immunotherapy Debarati Banik, Sara Moufarrij and Alejandro Villagra * Department of Biochemistry and Molecular Medicine, School of Medicine and Health Sciences, The George Washington University, 800 22nd St NW, Suite 8880, Washington, DC 20052, USA; [email protected] (D.B.); [email protected] (S.M.) * Correspondence: [email protected]; Tel.: +(202)-994-9547 Received: 22 March 2019; Accepted: 28 April 2019; Published: 7 May 2019 Abstract: Long-standing efforts to identify the multifaceted roles of histone deacetylase inhibitors (HDACis) have positioned these agents as promising drug candidates in combatting cancer, autoimmune, neurodegenerative, and infectious diseases. The same has also encouraged the evaluation of multiple HDACi candidates in preclinical studies in cancer and other diseases as well as the FDA-approval towards clinical use for specific agents. In this review, we have discussed how the efficacy of immunotherapy can be leveraged by combining it with HDACis. We have also included a brief overview of the classification of HDACis as well as their various roles in physiological and pathophysiological scenarios to target key cellular processes promoting the initiation, establishment, and progression of cancer. Given the critical role of the tumor microenvironment (TME) towards the outcome of anticancer therapies, we have also discussed the effect of HDACis on different components of the TME. We then have gradually progressed into examples of specific pan-HDACis, class I HDACi, and selective HDACis that either have been incorporated into clinical trials or show promising preclinical effects for future consideration. -
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. -
Determining HDAC8 Substrate Specificity by Noah Ariel Wolfson A
Determining HDAC8 substrate specificity by Noah Ariel Wolfson A dissertation submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy (Biological Chemistry) in the University of Michigan 2014 Doctoral Committee: Professor Carol A. Fierke, Chair Professor Robert S. Fuller Professor Anna K. Mapp Associate Professor Patrick J. O’Brien Associate Professor Raymond C. Trievel Dedication My thesis is dedicated to all my family, mentors, and friends who made getting to this point possible. ii Table of Contents Dedication ....................................................................................................................................... ii List of Figures .............................................................................................................................. viii List of Tables .................................................................................................................................. x List of Appendices ......................................................................................................................... xi Abstract ......................................................................................................................................... xii Chapter 1 HDAC8 substrates: Histones and beyond ...................................................................... 1 Overview ..................................................................................................................................... 1 HDAC introduction -
Transcriptional Analysis of Sodium Valproate in a Serotonergic Cell Line Reveals Gene Regulation Through Both HDAC Inhibition-Dependent and Independent Mechanisms
bioRxiv preprint doi: https://doi.org/10.1101/837732; this version posted November 12, 2019. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under aCC-BY-NC-ND 4.0 International license. Transcriptional analysis of sodium valproate in a serotonergic cell line reveals gene regulation through both HDAC inhibition-dependent and independent mechanisms Priyanka Sinha1,2, Simone Cree1,2, Allison L. Miller1,2, John F. Pearson1,2,3, Martin A. Kennedy1,2. 1Gene Structure and Function Laboratory, Department of Pathology and Biomedical Science, University of Otago, Christchurch, New Zealand. 2Carney Centre for Pharmacogenomics, University of Otago, Christchurch, New Zealand. 3Biostatistics and Computational Biology Unit, University of Otago, Christchurch, New Zealand. Correspondence to: Prof. M. A. Kennedy Department of Pathology and Biomedical Science University of Otago, Christchurch Christchurch, New Zealand Email: [email protected] Keywords: RNA-Seq, NanoString, lithium, valproate, HDAC inhibitor, mood stabilizer 1 bioRxiv preprint doi: https://doi.org/10.1101/837732; this version posted November 12, 2019. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under aCC-BY-NC-ND 4.0 International license. Abstract Sodium valproate (VPA) is a histone deacetylase (HDAC) inhibitor, widely prescribed in the treatment of bipolar disorder, and yet the precise modes of therapeutic action for this drug are not fully understood. -
Supplementary Table S4. FGA Co-Expressed Gene List in LUAD
Supplementary Table S4. FGA co-expressed gene list in LUAD tumors Symbol R Locus Description FGG 0.919 4q28 fibrinogen gamma chain FGL1 0.635 8p22 fibrinogen-like 1 SLC7A2 0.536 8p22 solute carrier family 7 (cationic amino acid transporter, y+ system), member 2 DUSP4 0.521 8p12-p11 dual specificity phosphatase 4 HAL 0.51 12q22-q24.1histidine ammonia-lyase PDE4D 0.499 5q12 phosphodiesterase 4D, cAMP-specific FURIN 0.497 15q26.1 furin (paired basic amino acid cleaving enzyme) CPS1 0.49 2q35 carbamoyl-phosphate synthase 1, mitochondrial TESC 0.478 12q24.22 tescalcin INHA 0.465 2q35 inhibin, alpha S100P 0.461 4p16 S100 calcium binding protein P VPS37A 0.447 8p22 vacuolar protein sorting 37 homolog A (S. cerevisiae) SLC16A14 0.447 2q36.3 solute carrier family 16, member 14 PPARGC1A 0.443 4p15.1 peroxisome proliferator-activated receptor gamma, coactivator 1 alpha SIK1 0.435 21q22.3 salt-inducible kinase 1 IRS2 0.434 13q34 insulin receptor substrate 2 RND1 0.433 12q12 Rho family GTPase 1 HGD 0.433 3q13.33 homogentisate 1,2-dioxygenase PTP4A1 0.432 6q12 protein tyrosine phosphatase type IVA, member 1 C8orf4 0.428 8p11.2 chromosome 8 open reading frame 4 DDC 0.427 7p12.2 dopa decarboxylase (aromatic L-amino acid decarboxylase) TACC2 0.427 10q26 transforming, acidic coiled-coil containing protein 2 MUC13 0.422 3q21.2 mucin 13, cell surface associated C5 0.412 9q33-q34 complement component 5 NR4A2 0.412 2q22-q23 nuclear receptor subfamily 4, group A, member 2 EYS 0.411 6q12 eyes shut homolog (Drosophila) GPX2 0.406 14q24.1 glutathione peroxidase -
Molecular Interactions Underpinning the Phenotype of Hibernation in Mammals Matthew T
© 2019. Published by The Company of Biologists Ltd | Journal of Experimental Biology (2019) 222, jeb160606. doi:10.1242/jeb.160606 REVIEW Molecular interactions underpinning the phenotype of hibernation in mammals Matthew T. Andrews* ABSTRACT most mammals. This Review covers recent advances in the Mammals maintain a constant warm body temperature, facilitating a molecular biology of hibernation, with a focus on molecular wide variety of metabolic reactions. Mammals that hibernate have the interactions underpinning the hibernation phenotype. Specific – ability to slow their metabolism, which in turn reduces their body topics include the torpor arousal cycle, the role of small temperature and leads to a state of hypothermic torpor. For this molecules, changes in gene expression, cold-inducible RNA- metabolic rate reduction to occur on a whole-body scale, molecular binding proteins, the somatosensory system and emerging interactions that change the physiology of cells, tissues and organs information on hibernating primates. This new information not are required, resulting in a major departure from normal mammalian only is beginning to explain how natural hibernators survive homeostasis. The aim of this Review is to cover recent advances in the physiological extremes that would be lethal to most mammals, but molecular biology of mammalian hibernation, including the role of also identifies molecular mechanisms that may prove useful to small molecules, seasonal changes in gene expression, cold- human medicine. inducible RNA-binding proteins, -
Molecular Mechanisms of Resistance to Immune Checkpoint Inhibitors in Melanoma Treatment: an Update
biomedicines Review Molecular Mechanisms of Resistance to Immune Checkpoint Inhibitors in Melanoma Treatment: An Update Sonja Vukadin 1,2, Farah Khaznadar 1, Tomislav Kizivat 3,4, Aleksandar Vcev 5,6,7 and Martina Smolic 1,2,* 1 Department of Pharmacology and Biochemistry, Faculty of Dental Medicine and Health Osijek, Josip Juraj Strossmayer University of Osijek, 31000 Osijek, Croatia; [email protected] (S.V.); [email protected] (F.K.) 2 Department of Pharmacology, Faculty of Medicine, Josip Juraj Strossmayer University of Osijek, 31000 Osijek, Croatia 3 Clinical Institute of Nuclear Medicine and Radiation Protection, University Hospital Osijek, 31000 Osijek, Croatia; [email protected] 4 Department of Nuclear Medicine and Oncology, Faculty of Medicine Osijek, Josip Juraj Strossmayer University of Osijek, 31000 Osijek, Croatia 5 Department of Pathophysiology, Physiology and Immunology, Faculty of Dental Medicine and Health Osijek, Josip Juraj Strossmayer University of Osijek, 31000 Osijek, Croatia; [email protected] 6 Department of Pathophysiology, Faculty of Medicine Osijek, Josip Juraj Strossmayer University of Osijek, 31000 Osijek, Croatia 7 Department of Internal Medicine, University Hospital Osijek, 31000 Osijek, Croatia * Correspondence: [email protected] Abstract: Over the past decade, immune checkpoint inhibitors (ICI) have revolutionized the treatment of advanced melanoma and ensured significant improvement in overall survival versus chemother- apy. ICI or targeted therapy are now the first line treatment in advanced melanoma, depending on the tumor v-raf murine sarcoma viral oncogene homolog B1 (BRAF) mutational status. While these Citation: Vukadin, S.; Khaznadar, F.; new approaches have changed the outcomes for many patients, a significant proportion of them still Kizivat, T.; Vcev, A.; Smolic, M. -
Valproate Protective Effects on Cisplatin-Induced Peripheral Neuropathy: an in Vitro and in Vivo Study
ANTICANCER RESEARCH 28: 335-342 (2008) Valproate Protective Effects on Cisplatin-induced Peripheral Neuropathy: An In Vitro and In Vivo Study VIRGINIA RODRIGUEZ-MENENDEZ, ALESSANDRA GILARDINI, MARIO BOSSI, ANNALISA CANTA, NORBERTO OGGIONI, VALENTINA CAROZZI, LUCIO TREMOLIZZO and GUIDO CAVALETTI Department of Neurosciences and Biomedical Technologies, University of Milano-Bicocca, Monza (MI), Italy Abstract. Background: Antineoplastic drugs, such as cisplatin and cisplatin animal models, without interfering with the (CDDP), induce disabling peripheral neuropathies, antitumoral activity of the antineoplastic drugs (6). ALC is representing a hindrance to effective cancer treatments. The a member of the family of carnitines, a naturally occurring exact pathogenesis of CDDP-induced neuropathy is not yet compound that has an essential role in intermediary understood, and the dysregulation of gene expression has been metabolism (7, 8). Recently, some clinical studies on proposed. Valproate (VPA) is an antiepileptic drug recently patients with neuropathies of different origin such as discovered to remodel gene expression, with hypothetically chronic diabetes, antiretroviral toxic neuropathy or putative neuroprotective effects. Materials and Methods: VPA paclitaxel- and cisplatin-induced peripheral neuropathies was tested in both, in vitro and in vivo models of CDDP- have seemed to confirm the neuroprotective action of ALC neurotoxicity. Results: VPA administered in combination with suggested by the animal model experimental data (9-11). In CDDP promoted dorsal root ganglia (DRG) neurons survival. fact, several results from different experimental paradigms Moreover, this treatment induced in Wistar rats an have suggested that ALC treatment promotes peripheral improvement of body weight, sensory nerve conduction nerve regeneration and has neuroprotective activity (11-14). velocity, and DRG morphometric analysis. -
Supp Table 6.Pdf
Supplementary Table 6. Processes associated to the 2037 SCL candidate target genes ID Symbol Entrez Gene Name Process NM_178114 AMIGO2 adhesion molecule with Ig-like domain 2 adhesion NM_033474 ARVCF armadillo repeat gene deletes in velocardiofacial syndrome adhesion NM_027060 BTBD9 BTB (POZ) domain containing 9 adhesion NM_001039149 CD226 CD226 molecule adhesion NM_010581 CD47 CD47 molecule adhesion NM_023370 CDH23 cadherin-like 23 adhesion NM_207298 CERCAM cerebral endothelial cell adhesion molecule adhesion NM_021719 CLDN15 claudin 15 adhesion NM_009902 CLDN3 claudin 3 adhesion NM_008779 CNTN3 contactin 3 (plasmacytoma associated) adhesion NM_015734 COL5A1 collagen, type V, alpha 1 adhesion NM_007803 CTTN cortactin adhesion NM_009142 CX3CL1 chemokine (C-X3-C motif) ligand 1 adhesion NM_031174 DSCAM Down syndrome cell adhesion molecule adhesion NM_145158 EMILIN2 elastin microfibril interfacer 2 adhesion NM_001081286 FAT1 FAT tumor suppressor homolog 1 (Drosophila) adhesion NM_001080814 FAT3 FAT tumor suppressor homolog 3 (Drosophila) adhesion NM_153795 FERMT3 fermitin family homolog 3 (Drosophila) adhesion NM_010494 ICAM2 intercellular adhesion molecule 2 adhesion NM_023892 ICAM4 (includes EG:3386) intercellular adhesion molecule 4 (Landsteiner-Wiener blood group)adhesion NM_001001979 MEGF10 multiple EGF-like-domains 10 adhesion NM_172522 MEGF11 multiple EGF-like-domains 11 adhesion NM_010739 MUC13 mucin 13, cell surface associated adhesion NM_013610 NINJ1 ninjurin 1 adhesion NM_016718 NINJ2 ninjurin 2 adhesion NM_172932 NLGN3 neuroligin -
Design and Synthesis of Novel Classes of Hdacs and Kmts Inhibitors
University of East Anglia School of Pharmacy Design and synthesis of novel classes of HDACs and KMTs inhibitors by Remy Thomas Narozny Supervisor: Prof. A. Ganesan Second Supervisor: Prof. Mark Searcey Thesis for the degree of Doctor of Philosophy November 2018 This copy of the thesis has been supplied on condition that anyone who consults it is understood to recognise that its copyright rests with the author and that use of any information derived therefrom must be in accordance with current UK Copyright Law. In addition, any quotation or extract must include full attribution. “Your genetics is not your destiny.” George McDonald Church Abstract For long, scientists thought that our body was driven only by our genetic code that we inherited at birth. However, this determinism was shattered entirely and proven as false in the second half of the 21st century with the discovery of epigenetics. Instead, cells turn genes on and off using reversible chemical marks. With the tremendous progression of epigenetic science, it is now believed that we have a certain power over the expression of our genetic traits. Over the years, these epigenetic modifications were found to be at the core of how diseases alter healthy cells, and environmental factors and lifestyle were identified as top influencers. Epigenetic dysregulation has been observed in every major domain of medicine, with a reported implication in cancer development, neurodegenerative pathologies, diabetes, infectious disease and even obesity. Substantially, an epigenetic component is expected to be involved in every human disease. Hence, the modulation of these epigenetics mechanisms has emerged as a therapeutic strategy.