Recent Advances in the Structural Mechanisms of DNA Glycosylases
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The 50Th Anniversary of the Discovery of Trisomy 21: the Past, Present, and Future of Research and Treatment of Down Syndrome
REVIEW The 50th anniversary of the discovery of trisomy 21: The past, present, and future of research and treatment of Down syndrome Andre´Me´garbane´, MD, PhD1,2, Aime´ Ravel, MD1, Clotilde Mircher, MD1, Franck Sturtz, MD, PhD1,3, Yann Grattau, MD1, Marie-Odile Rethore´, MD1, Jean-Maurice Delabar, PhD4, and William C. Mobley, MD, PhD5 Abstract: Trisomy 21 or Down syndrome is a chromosomal disorder HISTORICAL REVIEW resulting from the presence of all or part of an extra Chromosome 21. Clinical description It is a common birth defect, the most frequent and most recognizable By examining artifacts from the Tumaco-La Tolita culture, form of mental retardation, appearing in about 1 of every 700 newborns. which existed on the border between current Colombia and Although the syndrome had been described thousands of years before, Ecuador approximately 2500 years ago, Bernal and Briceno2 it was named after John Langdon Down who reported its clinical suspected that certain figurines depicted individuals with Tri- description in 1866. The suspected association of Down syndrome with somy 21, making these potteries the earliest evidence for the a chromosomal abnormality was confirmed by Lejeune et al. in 1959. existence of the syndrome. Martinez-Frias3 identified the syn- Fifty years after the discovery of the origin of Down syndrome, the term drome in a terra-cotta head from the Tolteca culture of Mexico “mongolism” is still inappropriately used; persons with Down syn- in 500 patients with AD in which the facial features of Trisomy drome are still institutionalized. Health problems associated with that 21 are clearly displayed. -
(SUMO) Substrates Identify Arabidopsis Proteins Implicated in Diverse Biological Processes
Proteome-wide screens for small ubiquitin-like modifier (SUMO) substrates identify Arabidopsis proteins implicated in diverse biological processes Nabil Elrouby1 and George Coupland1 Max Planck Institute for Plant Breeding Research, Carl-von-Linne Weg 10, Cologne 50829, Germany Edited by Mark Estelle, University of California at San Diego, La Jolla, CA, and approved August 17, 2010 (received for review April 21, 2010) Covalent modification of proteins by small ubiquitin-like modifier the substrate and the C-terminal glycine residue of SUMO (14, (SUMO) regulates various cellular activities in yeast and mamma- 16). In Arabidopsis, SCE and SAE2 are encoded by single genes, lian cells. In Arabidopsis, inactivation of genes encoding SUMO or whereas SAE1 is encoded by two genes (SAE1a and SAE1b) (17). SUMO-conjugation enzymes is lethal, emphasizing the importance In plants and mammals, SUMO, SUMO ligases, and SUMO of SUMOylation in plant development. Despite this, little is known proteases are encoded by multigene families (15, 17). Different about SUMO targets in plants. Here we identified 238 Arabidopsis SUMO isoforms are conjugated to specific substrates, and this is proteins as potential SUMO substrates because they interacted regulated by specific ligases and proteases. Whereas SUMO with SUMO-conjugating enzyme and/or SUMO protease (ESD4) in ligases aid in the conjugation reaction, SUMO proteases cleave the yeast two-hybrid system. Compared with the whole Arabidop- SUMO from substrates (deconjugation) and cleave a C-terminal sis proteome, the identified proteins were strongly enriched for extension in precursor SUMO proteins to expose a glycine resi- those containing high-probability consensus SUMO attachment due (processing) that can be conjugated to the substrate protein sites, further supporting that they are true SUMO substrates. -
Quantitative SUMO Proteomics Reveals the Modulation of Several
www.nature.com/scientificreports OPEN Quantitative SUMO proteomics reveals the modulation of several PML nuclear body associated Received: 10 October 2017 Accepted: 28 March 2018 proteins and an anti-senescence Published: xx xx xxxx function of UBC9 Francis P. McManus1, Véronique Bourdeau2, Mariana Acevedo2, Stéphane Lopes-Paciencia2, Lian Mignacca2, Frédéric Lamoliatte1,3, John W. Rojas Pino2, Gerardo Ferbeyre2 & Pierre Thibault1,3 Several regulators of SUMOylation have been previously linked to senescence but most targets of this modifcation in senescent cells remain unidentifed. Using a two-step purifcation of a modifed SUMO3, we profled the SUMO proteome of senescent cells in a site-specifc manner. We identifed 25 SUMO sites on 23 proteins that were signifcantly regulated during senescence. Of note, most of these proteins were PML nuclear body (PML-NB) associated, which correlates with the increased number and size of PML-NBs observed in senescent cells. Interestingly, the sole SUMO E2 enzyme, UBC9, was more SUMOylated during senescence on its Lys-49. Functional studies of a UBC9 mutant at Lys-49 showed a decreased association to PML-NBs and the loss of UBC9’s ability to delay senescence. We thus propose both pro- and anti-senescence functions of protein SUMOylation. Many cellular mechanisms of defense have evolved to reduce the onset of tumors and potential cancer develop- ment. One such mechanism is cellular senescence where cells undergo cell cycle arrest in response to various stressors1,2. Multiple triggers for the onset of senescence have been documented. While replicative senescence is primarily caused in response to telomere shortening3,4, senescence can also be triggered early by a number of exogenous factors including DNA damage, elevated levels of reactive oxygen species (ROS), high cytokine signa- ling, and constitutively-active oncogenes (such as H-RAS-G12V)5,6. -
Misregulation of ELK1, AP1, and E12 Transcription Factor Networks Is Associated with Melanoma Progression
cancers Article Misregulation of ELK1, AP1, and E12 Transcription Factor Networks Is Associated with Melanoma Progression Komudi Singh 1, Michelle Baird 2, Robert Fischer 2, Vijender Chaitankar 1, Fayaz Seifuddin 1, Yun-Ching Chen 1, Ilker Tunc 1, Clare M. Waterman 2 and Mehdi Pirooznia 1,* 1 Bioinformatics and Computational Biology Laboratory, National Heart Lung and Blood Institute, National Institutes of Health, Bethesda, MD 20892, USA; [email protected] (K.S.); [email protected] (V.C.); [email protected] (F.S.); [email protected] (Y.-C.C.); [email protected] (I.T.) 2 Cell and Developmental Biology Center, National Heart Lung and Blood Institute, National Institutes of Health, Bethesda, MD 20892, USA; [email protected] (M.B.); fi[email protected] (R.F.); [email protected] (C.M.W.) * Correspondence: [email protected] Received: 6 January 2020; Accepted: 12 February 2020; Published: 17 February 2020 Abstract: Melanoma is among the most malignant cutaneous cancers and when metastasized results in dramatically high mortality. Despite advances in high-throughput gene expression profiling in cancer transcriptomic studies, our understanding of mechanisms driving melanoma progression is still limited. We present here an in-depth bioinformatic analysis of the melanoma RNAseq, chromatin immunoprecipitation (ChIP)seq, and single-cell (sc)RNA seq data to understand cancer progression. Specifically, we have performed a consensus network analysis of RNA-seq data from clinically re-grouped melanoma samples to identify gene co-expression networks that are conserved in early (stage 1) and late (stage 4/invasive) stage melanoma. Overlaying the fold-change information on co-expression networks revealed several coordinately up or down-regulated subnetworks that may play a critical role in melanoma progression. -
DNA Repair As an Emerging Target for COPD-Lung Cancer Overlap Catherine R
DNA Repair as an Emerging Target for COPD-Lung Cancer Overlap Catherine R. Sears1 1Division of Pulmonary, Critical Care, Sleep and Occupational Medicine, Department of Medicine, Indiana University, Indianapolis, Indiana; The Richard L. Roudebush Veterans Affairs Medical Center, Indianapolis, IN, 46202, U.S.A. Corresponding Author: Catherine R. Sears, M.D. 980 W. Walnut Street Walther Hall, C400 Indianapolis, IN 46202 tel: 317-278-0413. fax: 317-278-7030 [email protected] Abstract length: 151 Article length (excluding tables and figures): 3,988 Number of Figures: 1 Tables: 1 Conflict of Interest Declaration: The author of this publication has no conflicts of interest to declare. This publication is supported in part by funding from the American Cancer Society (128511-MRSG-15-163-01- DMC) and the Showalter Research Foundation. ____________________________________________________ This is the author's manuscript of the article published in final edited form as: Sears, C. R. (2019). DNA repair as an emerging target for COPD-lung cancer overlap. Respiratory Investigation, 57(2), 111–121. https://doi.org/10.1016/j.resinv.2018.11.005 Abstract Cigarette smoking is the leading cause of lung cancer and chronic obstructive pulmonary disease (COPD). Many of the detrimental effects of cigarette smoke have been attributed to the development of DNA damage, either directly from chemicals contained in cigarette smoke or as a product of cigarette smoke-induced inflammation and oxidative stress. In this review, we discuss the environmental, epidemiological, and physiological links between COPD and lung cancer and the likely role of DNA damage and repair in COPD and lung cancer development. -
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eTable 1. Observed and expected genotypic frequencies of hOGG1 and APE1 polymorphisms in control group (n=206). Gene Observed n Expected n (%) p (HWE) (%) hOGG1 Ser/Ser 76 (37) 74.6 (36) 0.69 Ser/Cys 96 (47) 98.7 (48) Cys/Cys 34 (16) 32.6 (16) APE1 Asp/Asp 78 (39) 74.6 (37) 0.33 Asp/Glu 92 (43) 98.7 (48) Glu/Glu 36 (18) 32.6 (15) HWE, Hardy–Weinberg equilibrium eTable 2. Prevalence of hOGG1 Ser326Cys genotypes in the present participants and in studies of Asian and white populations. No. (%) Ref. No. Population Ser/Ser Ser/Cys Cys/Cys Ser/Cys + Cys/Cys 1 Japanese 16 (35.6) 19 (42.2) 10 (22.2) 29 (64.4) 2 Japanese 85 (35.3) 115 (47.7) 41 (17.0) 156 (64.7) 3 Japanese 40 (29.0) 71 (51.4) 27 (19.6) 98 (71.0) 4 Japanese 54 (27.3) 106 (53.5) 38 (19.2) 144 (72.7) 5 Japanese 285 (26.0) 544 (49.6) 268 (24.4) 812 (74.0) 6 Japanese 117 (22.7) 257 (49.9) 141 (27.4) 398 (77.3) 7 Japanese 27 (25.0) 55 (50.9) 26 (24.1) 81 (75.0) 8 Korean 40 (20.0) 160 (80.0) 9 Korean 46 (27.7) 67(40.4) 53(31.9) 120 (72.3) 10 Chinese 37 (31.4) 61 (51.7) 20 (16.9) 81 (68.6) 11 Chinese 27 (11.9) 132 (58.1) 68 (30.0) 200 (88.1) 12 Chinese 83 (18.2) 208 (45.7) 164 (36.1) 372 (81.8) 13 Chinese 100 (17.2) 288 (49.6) 193 (33.2) 481 (82.8) 14 Taiwanese 142 (13.0) 518 (47.2) 436 (39.8) 954 (87.0) 15 Taiwanese 68 (19.0) 158 (44.1) 132 (36.9) 290 (81.0) 16 Whites 68 (64.8) 32 (30.5) 5 (4.8) 37 (35.2) 17 Whites 149(58.2) 93 (36.3) 14 (5.5) 107 (41.8) 18 Whites 1401 (65.0) 661 (30.7) 93 (4.3) 754 (35.0) 19 Whites 144 (57.4) 93 (37.0) 14 (5.6) 107 (42.6) 20 Whites 254 (58.9) 155 (36.0) 22 (5.1) 177 (41.1) 21 Whites 182 (55.8) 100 (30.7) 44 (13.5) 144 (44.2) 22 Whites 74 (67.3) 33 (30.0) 3 (2.7) 36 (32.7) 23 Whites 48 (54.5) 24 (27.3) 16 (18.2) 40 (45.5) 24 Whites 101 (56.4) 65 (36.3) 13 (7.3) 78 (43.6) 25 Whites 90 (63.8) 45 (31.9) 6 (4.3) 51 (36.2) Present study Taiwanese 53 (24.5) 106 (48.8) 58 (26.7) 164 (75.5) eTable 2 references 1. -
Ohnologs in the Human Genome Are Dosage Balanced and Frequently Associated with Disease
Ohnologs in the human genome are dosage balanced and frequently associated with disease Takashi Makino1 and Aoife McLysaght2 Smurfit Institute of Genetics, University of Dublin, Trinity College, Dublin 2, Ireland Edited by Michael Freeling, University of California, Berkeley, CA, and approved April 9, 2010 (received for review December 21, 2009) About 30% of protein-coding genes in the human genome are been duplicated by WGD, subsequent loss of individual genes related through two whole genome duplication (WGD) events. would result in a dosage imbalance due to insufficient gene Although WGD is often credited with great evolutionary impor- product, thus leading to biased retention of dosage-balanced tance, the processes governing the retention of these genes and ohnologs. In fact, evidence for preferential retention of dosage- their biological significance remain unclear. One increasingly pop- balanced genes after WGD is accumulating (4, 7, 11–20). Copy ular hypothesis is that dosage balance constraints are a major number variation [copy number polymorphism (CNV)] describes determinant of duplicate gene retention. We test this hypothesis population level polymorphism of small segmental duplications and show that WGD-duplicated genes (ohnologs) have rarely and is known to directly correlate with gene expression levels (21– experienced subsequent small-scale duplication (SSD) and are also 24). Thus, CNV of dosage-balanced genes is also expected to be refractory to copy number variation (CNV) in human populations deleterious. This model predicts that retained ohnologs should be and are thus likely to be sensitive to relative quantities (i.e., they are enriched for dosage-balanced genes that are resistant to sub- dosage-balanced). -
In Vivo Measurements of Interindividual Differences in DNA
In vivo measurements of interindividual differences in PNAS PLUS DNA glycosylases and APE1 activities Isaac A. Chaima,b, Zachary D. Nagela,b, Jennifer J. Jordana,b, Patrizia Mazzucatoa,b, Le P. Ngoa,b, and Leona D. Samsona,b,c,d,1 aDepartment of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA 02139; bCenter for Environmental Health Sciences, Massachusetts Institute of Technology, Cambridge, MA 02139; cDepartment of Biology, Massachusetts Institute of Technology, Cambridge, MA 02139; and dThe David H. Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, MA 02139 Edited by Paul Modrich, Howard Hughes Medical Institute and Duke University Medical Center, Durham, NC, and approved October 20, 2017 (received for review July 6, 2017) The integrity of our DNA is challenged with at least 100,000 lesions with increased cancer risk and other diseases (8–10). However, per cell on a daily basis. Failure to repair DNA damage efficiently the lack of high-throughput assays that can reliably measure in- can lead to cancer, immunodeficiency, and neurodegenerative dis- terindividual differences in BER capacity have limited epidemio- ease. Base excision repair (BER) recognizes and repairs minimally logical studies linking BER capacity to disease. Moreover, BER helix-distorting DNA base lesions induced by both endogenous repairs DNA lesions induced by radiation and chemotherapy (3, 11), and exogenous DNA damaging agents. Levels of BER-initiating raising the possibility of personalized treatment strategies using DNA glycosylases can vary between individuals, suggesting that BER capacity in tumor tissue to predict which therapies are most quantitating and understanding interindividual differences in DNA likely to be effective, and using BER capacity in healthy tissue to repair capacity (DRC) may enable us to predict and prevent disease determine the dose individual patients can tolerate. -
The Evolutionary Diversity of Uracil DNA Glycosylase Superfamily
Clemson University TigerPrints All Dissertations Dissertations December 2017 The Evolutionary Diversity of Uracil DNA Glycosylase Superfamily Jing Li Clemson University, [email protected] Follow this and additional works at: https://tigerprints.clemson.edu/all_dissertations Recommended Citation Li, Jing, "The Evolutionary Diversity of Uracil DNA Glycosylase Superfamily" (2017). All Dissertations. 2546. https://tigerprints.clemson.edu/all_dissertations/2546 This Dissertation is brought to you for free and open access by the Dissertations at TigerPrints. It has been accepted for inclusion in All Dissertations by an authorized administrator of TigerPrints. For more information, please contact [email protected]. THE EVOLUTIONARY DIVERSITY OF URACIL DNA GLYCOSYLASE SUPERFAMILY A Dissertation Presented to the Graduate School of Clemson University In Partial Fulfillment of the Requirements for the Degree Doctor of Philosophy Biochemistry and Molecular Biology by Jing Li December 2017 Accepted by: Dr. Weiguo Cao, Committee Chair Dr. Alex Feltus Dr. Cheryl Ingram-Smith Dr. Jeremy Tzeng ABSTRACT Uracil DNA glycosylase (UDG) is a crucial member in the base excision (BER) pathway that is able to specially recognize and cleave the deaminated DNA bases, including uracil (U), hypoxanthine (inosine, I), xanthine (X) and oxanine (O). Currently, based on the sequence similarity of 3 functional motifs, the UDG superfamily is divided into 6 families. Each family has evolved distinct substrate specificity and properties. In this thesis, I broadened the UDG superfamily by characterization of three new groups of enzymes. In chapter 2, we identified a new subgroup of enzyme in family 3 SMUG1 from Listeria Innocua. This newly found SMUG1-like enzyme has distinct catalytic residues and exhibits strong preference on single-stranded DNA substrates. -
Site-Specific Characterization of Endogenous Sumoylation Across
ARTICLE DOI: 10.1038/s41467-018-04957-4 OPEN Site-specific characterization of endogenous SUMOylation across species and organs Ivo A. Hendriks 1, David Lyon 2, Dan Su3, Niels H. Skotte1, Jeremy A. Daniel3, Lars J. Jensen2 & Michael L. Nielsen 1 Small ubiquitin-like modifiers (SUMOs) are post-translational modifications that play crucial roles in most cellular processes. While methods exist to study exogenous SUMOylation, 1234567890():,; large-scale characterization of endogenous SUMO2/3 has remained technically daunting. Here, we describe a proteomics approach facilitating system-wide and in vivo identification of lysines modified by endogenous and native SUMO2. Using a peptide-level immunoprecipi- tation enrichment strategy, we identify 14,869 endogenous SUMO2/3 sites in human cells during heat stress and proteasomal inhibition, and quantitatively map 1963 SUMO sites across eight mouse tissues. Characterization of the SUMO equilibrium highlights striking differences in SUMO metabolism between cultured cancer cells and normal tissues. Tar- geting preferences of SUMO2/3 vary across different organ types, coinciding with markedly differential SUMOylation states of all enzymes involved in the SUMO conjugation cascade. Collectively, our systemic investigation details the SUMOylation architecture across species and organs and provides a resource of endogenous SUMOylation sites on factors important in organ-specific functions. 1 Proteomics Program, Novo Nordisk Foundation Center for Protein Research, Faculty of Health and Medical Sciences, University of Copenhagen, Blegdamsvej 3B, 2200 Copenhagen, Denmark. 2 Disease Systems Biology Program, Novo Nordisk Foundation Center for Protein Research, Faculty of Health and Medical Sciences, University of Copenhagen, Blegdamsvej 3B, 2200 Copenhagen, Denmark. 3 Protein Signaling Program, Novo Nordisk Foundation Center for Protein Research, Faculty of Health and Medical Sciences, University of Copenhagen, Blegdamsvej 3B, 2200 Copenhagen, Denmark. -
8-Oxoguanine DNA Glycosylases: One Lesion, Three Subfamilies
Int. J. Mol. Sci. 2012, 13, 6711-6729; doi:10.3390/ijms13066711 OPEN ACCESS International Journal of Molecular Sciences ISSN 1422-0067 www.mdpi.com/journal/ijms Review 8-Oxoguanine DNA Glycosylases: One Lesion, Three Subfamilies Frédérick Faucher 1,*, Sylvie Doublié 2 and Zongchao Jia 1,* 1 Department of Biomedical and Molecular Sciences, Queen’s University, 18 Stuart Street, Kingston, K7L 3N6, Canada 2 Department of Microbiology and Molecular Genetics, University of Vermont, E314A Given Building, 89 Beaumont Avenue, Burlington, VT 05405, USA; E-Mail: [email protected] * Authors to whom correspondence should be addressed; E-Mails: [email protected] (F.F.); [email protected] (Z.J.); Tel.: +613-533-6277 (Z.J.); Fax: +613-533-2497 (Z.J.). Received: 20 April 2012; in revised form: 14 May 2012 / Accepted: 24 May 2012 / Published: 1 June 2012 Abstract: Amongst the four bases that form DNA, guanine is the most susceptible to oxidation, and its oxidation product, 7,8-dihydro-8-oxoguanine (8-oxoG) is the most prevalent base lesion found in DNA. Fortunately, throughout evolution cells have developed repair mechanisms, such as the 8-oxoguanine DNA glycosylases (OGG), which recognize and excise 8-oxoG from DNA thereby preventing the accumulation of deleterious mutations. OGG are divided into three subfamilies, OGG1, OGG2 and AGOG, which are all involved in the base excision repair (BER) pathway. The published structures of OGG1 and AGOG, as well as the recent availability of OGG2 structures in both apo- and liganded forms, provide an excellent opportunity to compare the structural and functional properties of the three OGG subfamilies. -
Dissecting the Genetics of Human Communication
DISSECTING THE GENETICS OF HUMAN COMMUNICATION: INSIGHTS INTO SPEECH, LANGUAGE, AND READING by HEATHER ASHLEY VOSS-HOYNES Submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy Department of Epidemiology and Biostatistics CASE WESTERN RESERVE UNIVERSITY January 2017 CASE WESTERN RESERVE UNIVERSITY SCHOOL OF GRADUATE STUDIES We herby approve the dissertation of Heather Ashely Voss-Hoynes Candidate for the degree of Doctor of Philosophy*. Committee Chair Sudha K. Iyengar Committee Member William Bush Committee Member Barbara Lewis Committee Member Catherine Stein Date of Defense July 13, 2016 *We also certify that written approval has been obtained for any proprietary material contained therein Table of Contents List of Tables 3 List of Figures 5 Acknowledgements 7 List of Abbreviations 9 Abstract 10 CHAPTER 1: Introduction and Specific Aims 12 CHAPTER 2: Review of speech sound disorders: epidemiology, quantitative components, and genetics 15 1. Basic Epidemiology 15 2. Endophenotypes of Speech Sound Disorders 17 3. Evidence for Genetic Basis Of Speech Sound Disorders 22 4. Genetic Studies of Speech Sound Disorders 23 5. Limitations of Previous Studies 32 CHAPTER 3: Methods 33 1. Phenotype Data 33 2. Tests For Quantitative Traits 36 4. Analytical Methods 42 CHAPTER 4: Aim I- Genome Wide Association Study 49 1. Introduction 49 2. Methods 49 3. Sample 50 5. Statistical Procedures 53 6. Results 53 8. Discussion 71 CHAPTER 5: Accounting for comorbid conditions 84 1. Introduction 84 2. Methods 86 3. Results 87 4. Discussion 105 CHAPTER 6: Hypothesis driven pathway analysis 111 1. Introduction 111 2. Methods 112 3. Results 116 4.