Complementarity in the Structure and Dynamics of Protein-DNA Search and Recognition: a Multiscale Modeling Study

Total Page:16

File Type:pdf, Size:1020Kb

Complementarity in the Structure and Dynamics of Protein-DNA Search and Recognition: a Multiscale Modeling Study Complementarity in the Structure and Dynamics of Protein-DNA Search and Recognition: A Multiscale Modeling Study A Dissertation Presented by Kevin Eduard Hauser to The Graduate School in Partial Fulfillment of the Requirements for the Degree of Doctor of Philosophy in Chemistry (Chemical Biology) Stony Brook University December 2016 Kevin Eduard Hauser 2016 Stony Brook University The Graduate School Kevin E. Hauser We, the dissertation committee for the above candidate for the Doctor of Philosophy degree, hereby recommend acceptance of this dissertation. Carlos Simmerling – Dissertation Advisor Professor, Department of Chemistry Orlando Schärer – Chairperson of Defense Professor, Department of Chemistry Robert Rizzo – Committee Member Associate Professor, Department of Applied Mathematics & Statistics Miguel Garcia-Diaz – Dissertation Co-Advisor Associate Professor, Department of Pharmacological Sciences Evangelos Coutsias – External Member Professor, Department of Applied Mathematics & Statistics This dissertation is accepted by the Graduate School Charles Taber Dean of the Graduate School ii Dedication Page To Johnny, and any kid who had a bad gene. iii Frontispiece A human transcription factor partners its superhelical geometry with a distorted DNA helix. iv Table of Contents List of Figures ............................................................................................................................. vii List of Tables .............................................................................................................................. xiv List of Abbreviations................................................................................................................... xvi Chapter 1. Introduction ............................................................................................................. 1 1.1. Transcription factors regulate gene expression ..................................................................... 2 1.2. Diffusion of DNA-binding proteins to target DNA: search mode ........................................ 5 1.3. Helix geometry of biomolecules ......................................................................................... 11 1.4. Molecular Dynamics ........................................................................................................... 14 1.4.1. The Calculus of classical mechanics ................................................................................ 15 1.4.2. Molecular mechanics force field ...................................................................................... 15 1.4.2.1. Additional terms used in contemporary molecular dynamics simulations ................... 19 1.4.3. Classical mechanics equation of motion .......................................................................... 19 1.5. Normal mode analysis & anisotropic network model ......................................................... 22 1.5.1. Harmonic potential energy function ................................................................................ 22 1.5.2. Normal modes .................................................................................................................. 25 1.6. Overview of Projects: Chapter Summaries ......................................................................... 30 1.6.1. The two codes of DNA .................................................................................................... 31 1.6.1. Characterization of biomolecular helices and their complementarity using geometric analysis. ......................................................................................................................................... 32 1.6.2. Asymmetrically coupled structure specificity in protein-DNA complexes ..................... 32 1.6.3. A human transcription factor in search mode .................................................................. 33 1.6.4. Asynchronous shifts by asymmetrical modules bias how MTERF1 slides on DNA ...... 34 Chapter 2. The two codes of DNA .......................................................................................... 36 2.1. Introduction ......................................................................................................................... 36 2.2. Direct readout decodes DNA sequence letters .................................................................... 37 2.2.1. The letter representation of a DNA sequence is an information code ............................. 38 2.2.2. Proteins read letters with direct readout .......................................................................... 40 v 2.3. The energy code of DNA .................................................................................................... 44 2.3.1. Helicoidal parameters measure changes in DNA structure ............................................. 45 2.3.2. Proteins bind specific DNA structures ............................................................................. 47 2.4. Quantitative Models of the DNA Energy Code .................................................................. 49 2.4.1. Experimental approaches to characterizing the DNA energy code ................................. 49 2.4.2. Atomistic molecular dynamics simulations fill gaps in the energy code left by experiment ..................................................................................................................................... 51 2.5. The energy code predicts regulatory protein binding sites ................................................. 52 2.5.1. Ground-state DNA energy landscapes are imprinted with protein binding patterns ....... 52 2.5.2. Dynamic readout predicts nucleosome phasing ............................................................... 53 2.6. Methylation acts as a DNA flexibility switch ..................................................................... 56 2.7. Summary of the two codes of DNA .................................................................................... 56 2.8. Conclusion and perspective ................................................................................................ 57 Chapter 3. Characterization of biomolecular helices and their complementarity using geometric analysis ........................................................................................................... 59 3.1. Introduction ......................................................................................................................... 59 3.2. Theory ................................................................................................................................. 61 3.2.1. Rotate a helix in 3D, then project the helix on the x-y plane ........................................... 61 3.2.2. Spherical coordinates are used to rotate the helix frame ................................................. 64 3.2.3. A linear least squares problem is solved for the circle projected by the helix ................. 64 3.2.4. Helix pitch, twist and rise are calculated from the optimal helix frame .......................... 67 3.3. Methods............................................................................................................................... 69 3.3.1. Nievergelt’s helix ............................................................................................................. 69 3.3.2. Generating artificial helices ............................................................................................. 69 3.3.3. Generating biomolecular helices ...................................................................................... 72 3.3.3.1. Generating helical peptide secondary structure elements ............................................. 72 3.3.3.2. Generating nucleic acid helices .................................................................................... 73 3.3.3.3. Analyzing a superhelical protein-DNA complex .......................................................... 74 3.3.3.4. Using the test helices to estimate accuracy of an analysis ............................................ 75 3.4. Results ................................................................................................................................. 75 3.4.1. The method requires fewer points than TLS to achieve the same accuracy .................... 75 vi 3.4.2. Validation tests of ideal artificial helices ........................................................................ 77 3.4.3. Testing helical secondary structure elements .................................................................. 88 3.4.4. Validation of nucleic acid helices: single- and double-stranded DNA and RNA ............ 94 3.4.5. Characterizing superhelix protein tertiary-structure ...................................................... 100 3.5. Conclusion ........................................................................................................................ 102 Chapter 4. Asymmetrically coupled structure specificity in protein-DNA complexes .... 103 4.1. Introduction ....................................................................................................................... 103 4.2. Methods............................................................................................................................. 108 4.2.1. Experimental dataset ...................................................................................................... 108 4.2.2. Helix analysis ................................................................................................................
Recommended publications
  • Linguistic Presentation of Objects
    Zygmunt Ryznar dr emeritus Cracow Poland [email protected] Linguistic presentation of objects (types,structures,relations) Abstract Paper presents phrases for object specification in terms of structure, relations and dynamics. An applied notation provides a very concise (less words more contents) description of object. Keywords object relations, role, object type, object dynamics, geometric presentation Introduction This paper is based on OSL (Object Specification Language) [3] dedicated to present the various structures of objects, their relations and dynamics (events, actions and processes). Jay W.Forrester author of fundamental work "Industrial Dynamics”[4] considers the importance of relations: “the structure of interconnections and the interactions are often far more important than the parts of system”. Notation <!...> comment < > container of (phrase,name...) ≡> link to something external (outside of definition)) <def > </def> start-end of definition <spec> </spec> start-end of specification <beg> <end> start-end of section [..] or {..} 1 list of assigned keywords :[ or :{ structure ^<name> optional item (..) list of items xxxx(..) name of list = value assignment @ mark of special attribute,feature,property @dark unknown, to obtain, to discover :: belongs to : equivalent name (e.g.shortname) # number of |name| executive/operational object ppppXxxx name of item Xxxx with prefix ‘pppp ‘ XXXX basic object UUUU.xxxx xxxx object belonged to UUUU object class & / conjunctions ‘and’ ‘or’ 1 If using Latex editor we suggest [..] brackets
    [Show full text]
  • A Computational Approach for Defining a Signature of Β-Cell Golgi Stress in Diabetes Mellitus
    Page 1 of 781 Diabetes A Computational Approach for Defining a Signature of β-Cell Golgi Stress in Diabetes Mellitus Robert N. Bone1,6,7, Olufunmilola Oyebamiji2, Sayali Talware2, Sharmila Selvaraj2, Preethi Krishnan3,6, Farooq Syed1,6,7, Huanmei Wu2, Carmella Evans-Molina 1,3,4,5,6,7,8* Departments of 1Pediatrics, 3Medicine, 4Anatomy, Cell Biology & Physiology, 5Biochemistry & Molecular Biology, the 6Center for Diabetes & Metabolic Diseases, and the 7Herman B. Wells Center for Pediatric Research, Indiana University School of Medicine, Indianapolis, IN 46202; 2Department of BioHealth Informatics, Indiana University-Purdue University Indianapolis, Indianapolis, IN, 46202; 8Roudebush VA Medical Center, Indianapolis, IN 46202. *Corresponding Author(s): Carmella Evans-Molina, MD, PhD ([email protected]) Indiana University School of Medicine, 635 Barnhill Drive, MS 2031A, Indianapolis, IN 46202, Telephone: (317) 274-4145, Fax (317) 274-4107 Running Title: Golgi Stress Response in Diabetes Word Count: 4358 Number of Figures: 6 Keywords: Golgi apparatus stress, Islets, β cell, Type 1 diabetes, Type 2 diabetes 1 Diabetes Publish Ahead of Print, published online August 20, 2020 Diabetes Page 2 of 781 ABSTRACT The Golgi apparatus (GA) is an important site of insulin processing and granule maturation, but whether GA organelle dysfunction and GA stress are present in the diabetic β-cell has not been tested. We utilized an informatics-based approach to develop a transcriptional signature of β-cell GA stress using existing RNA sequencing and microarray datasets generated using human islets from donors with diabetes and islets where type 1(T1D) and type 2 diabetes (T2D) had been modeled ex vivo. To narrow our results to GA-specific genes, we applied a filter set of 1,030 genes accepted as GA associated.
    [Show full text]
  • Computer Experiments for Circle Packings on Surfaces
    Interdisciplinary Information Sciences, Vol. 9, No. 1, pp. 175–182 (2003) Computer Experiments for Circle Packings on Surfaces Shigeru MIZUSHIMA Department of Mathematical and Computing Sciences, Tokyo Institute of Technology, O-okayama, Meguro, Tokyo 152-8552, Japan Received July 1, 2002; final version accepted January 31, 2003 Circle packings on surfaces with complex projective structures were investigated in the previous paper ‘‘Circle packings on surfaces with projective structures’’. This paper describes computer experiments performed in the process. KEYWORDS: circle packings, complex projective structures, computer experiments, visualization 1. Introduction An orientable closed surface Æg of genus g admits a spherical metric (g ¼ 0), a Euclidean metric (g ¼ 1)ora hyperbolic metric (g 2) according to its genus. Though the sphere admits the unique metric essentially, the space of Euclidean metrics on the torus and the space of hyperbolic metrics on a surface with genus higher than one are topologically cells of dimension 2 and 6g À 6 respectively. In spite of these plentifulness of metrics for g 1,the Andreev–Thurston theorem [1, 4] shows the uniqueness of the metric which admits a circle packing for each combinatorial type of a circle packing. In the previous paper [2], we started from the Andreev–Thurston theorem, let the metric structures relax into complex projective structures, and then deformed the structure admitting packing. The main result of the paper states that the space of deformations for packings with one circle is a cell of dimension 2 for g ¼ 1 and 6g À 6 for g 2. (Note that the dimension of the space of complex projective structures on a surface is 4 for g ¼ 1 and 12g À 12 for g 2.) In the process of the study, computer experiments were performed with some programs.
    [Show full text]
  • Spiral Pdf, Epub, Ebook
    SPIRAL PDF, EPUB, EBOOK Roderick Gordon,Brian Williams | 496 pages | 01 Sep 2011 | Chicken House Ltd | 9781906427849 | English | Somerset, United Kingdom Spiral PDF Book Clear your history. Cann is on the run. Remark: a rhumb line is not a spherical spiral in this sense. The spiral has inspired artists throughout the ages. Metacritic Reviews. Fast, Simple and effective in getting high quality formative assessment in seconds. It has been nominated at the Globes de Cristal Awards four times, winning once. Name that government! This last season has two episodes less than the previous ones. The loxodrome has an infinite number of revolutions , with the separation between them decreasing as the curve approaches either of the poles, unlike an Archimedean spiral which maintains uniform line-spacing regardless of radius. Ali Tewfik Jellab changes from recurring character to main. William Schenk Christopher Tai Looking for a movie the entire family can enjoy? Looking for a movie the entire family can enjoy? Edit Cast Series cast summary: Caroline Proust June Assess in real-time or asynchronously. Time Traveler for spiral The first known use of spiral was in See more words from the same year. A hyperbolic spiral appears as image of a helix with a special central projection see diagram. TV series to watch. External Sites. That dark, messy, morally ambivalent universe they live in is recognisable even past the cultural differences, such as the astonishing blurring of the boundary between investigative police work and judgement — it's not so much uniquely French as uniquely modern. Photo Gallery. Some familiar faces, and some new characters, keep things ticking along nicely.
    [Show full text]
  • A Divergent Pumilio Repeat Protein Family for Pre-Rrna Processing and Mrna Localization
    A divergent Pumilio repeat protein family for pre-rRNA processing and mRNA localization Chen Qiua, Kathleen L. McCannb, Robert N. Winea, Susan J. Basergab,c,d,1, and Traci M. Tanaka Halla,1 aEpigenetics and Stem Cell Biology Laboratory, National Institute of Environmental Health Sciences, National Institutes of Health, Research Triangle Park, NC 27709; and Departments of bGenetics, cMolecular Biophysics and Biochemistry, and dTherapeutic Radiology, Yale University School of Medicine, New Haven, CT 06520 Edited by David Baker, University of Washington, Seattle, WA, and approved November 19, 2014 (received for review April 25, 2014) Pumilio/feminization of XX and XO animals (fem)-3 mRNA-binding cell (15). In addition to these functional differences, it is unclear factor (PUF) proteins bind sequence specifically to mRNA targets how these new PUM repeat proteins would interact with target using a single-stranded RNA-binding domain comprising eight RNA. For example, only six PUM repeats are predicted in Puf-A Pumilio (PUM) repeats. PUM repeats have now been identified in and Puf6, and their RNA base-interacting residues are poorly proteins that function in pre-rRNA processing, including human conserved. Puf-A and yeast Puf6. This is a role not previously ascribed to PUF Vertebrate Puf-A functions appear to be important for diseases proteins. Here we present crystal structures of human Puf-A that and embryonic development, but more knowledge is needed to reveal a class of nucleic acid-binding proteins with 11 PUM repeats connect vertebrate morbidities with molecular mechanisms. Human arranged in an “L”-like shape. In contrast to classical PUF proteins, Puf-A changes localization from predominantly nucleolar to nu- Puf-A forms sequence-independent interactions with DNA or RNA, clear when cells are treated with transcriptional or topoisomerase mediated by conserved basic residues.
    [Show full text]
  • Mitochondrial Genetics
    Mitochondrial genetics Patrick Francis Chinnery and Gavin Hudson* Institute of Genetic Medicine, International Centre for Life, Newcastle University, Central Parkway, Newcastle upon Tyne NE1 3BZ, UK Introduction: In the last 10 years the field of mitochondrial genetics has widened, shifting the focus from rare sporadic, metabolic disease to the effects of mitochondrial DNA (mtDNA) variation in a growing spectrum of human disease. The aim of this review is to guide the reader through some key concepts regarding mitochondria before introducing both classic and emerging mitochondrial disorders. Sources of data: In this article, a review of the current mitochondrial genetics literature was conducted using PubMed (http://www.ncbi.nlm.nih.gov/pubmed/). In addition, this review makes use of a growing number of publically available databases including MITOMAP, a human mitochondrial genome database (www.mitomap.org), the Human DNA polymerase Gamma Mutation Database (http://tools.niehs.nih.gov/polg/) and PhyloTree.org (www.phylotree.org), a repository of global mtDNA variation. Areas of agreement: The disruption in cellular energy, resulting from defects in mtDNA or defects in the nuclear-encoded genes responsible for mitochondrial maintenance, manifests in a growing number of human diseases. Areas of controversy: The exact mechanisms which govern the inheritance of mtDNA are hotly debated. Growing points: Although still in the early stages, the development of in vitro genetic manipulation could see an end to the inheritance of the most severe mtDNA disease. Keywords: mitochondria/genetics/mitochondrial DNA/mitochondrial disease/ mtDNA Accepted: April 16, 2013 Mitochondria *Correspondence address. The mitochondrion is a highly specialized organelle, present in almost all Institute of Genetic Medicine, International eukaryotic cells and principally charged with the production of cellular Centre for Life, Newcastle energy through oxidative phosphorylation (OXPHOS).
    [Show full text]
  • Pathological Ribonuclease H1 Causes R-Loop Depletion and Aberrant DNA Segregation in Mitochondria
    Pathological ribonuclease H1 causes R-loop depletion PNAS PLUS and aberrant DNA segregation in mitochondria Gokhan Akmana,1, Radha Desaia,1, Laura J. Baileyb, Takehiro Yasukawab,2, Ilaria Dalla Rosaa, Romina Durigona, J. Bradley Holmesb,c, Chloe F. Mossa, Mara Mennunia, Henry Houldend, Robert J. Crouchc, Michael G. Hannad, Robert D. S. Pitceathlyd,e, Antonella Spinazzolaa,3, and Ian J. Holta,3 aMedical Research Council, Mill Hill Laboratory, London NW7 1AA, United Kingdom; bMedical Research Council Mitochondrial Biology Unit, Cambridge CB1 9SY, United Kingdom; cDivision of Developmental Biology, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, MD 20892; dMedical Research Council Centre for Neuromuscular Diseases, University College London Institute of Neurology and National Hospital for Neurology and Neurosurgery, London WC1N 3BG, United Kingdom; and eDepartment of Basic and Clinical Neuroscience, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London SE5 8AF, United Kingdom Edited by Douglas Koshland, University of California, Berkeley, CA, and approved June 7, 2016 (received for review January 18, 2016) The genetic information in mammalian mitochondrial DNA is densely Results packed; there are no introns and only one sizeable noncoding, or Analysis of RNA hybridized to mtDNA must contend with the control, region containing key cis-elements for its replication and ready degradation of the RNA during extraction (16). Previous expression. Many molecules of mitochondrial DNA bear a third analysis of fragments of mtDNA encompassing the CR dem- strand of DNA, known as “7S DNA,” which forms a displacement onstrated that they included molecules with 7S DNA, as (D-) loop in the control region.
    [Show full text]
  • Flexible Fluidic Actuators for Soft Robotic Applications
    University of Wollongong Research Online University of Wollongong Thesis Collection 2017+ University of Wollongong Thesis Collections 2019 Flexible Fluidic Actuators for Soft Robotic Applications Weiping Hu University of Wollongong Follow this and additional works at: https://ro.uow.edu.au/theses1 University of Wollongong Copyright Warning You may print or download ONE copy of this document for the purpose of your own research or study. The University does not authorise you to copy, communicate or otherwise make available electronically to any other person any copyright material contained on this site. You are reminded of the following: This work is copyright. Apart from any use permitted under the Copyright Act 1968, no part of this work may be reproduced by any process, nor may any other exclusive right be exercised, without the permission of the author. Copyright owners are entitled to take legal action against persons who infringe their copyright. A reproduction of material that is protected by copyright may be a copyright infringement. A court may impose penalties and award damages in relation to offences and infringements relating to copyright material. Higher penalties may apply, and higher damages may be awarded, for offences and infringements involving the conversion of material into digital or electronic form. Unless otherwise indicated, the views expressed in this thesis are those of the author and do not necessarily represent the views of the University of Wollongong. Recommended Citation Hu, Weiping, Flexible Fluidic Actuators for Soft Robotic Applications, Doctor of Philosophy thesis, School of Mechanical, Materials, Mechatronic and Biomedical Engineering, University of Wollongong, 2019. https://ro.uow.edu.au/theses1/717 Research Online is the open access institutional repository for the University of Wollongong.
    [Show full text]
  • Characterizing Genomic Duplication in Autism Spectrum Disorder by Edward James Higginbotham a Thesis Submitted in Conformity
    Characterizing Genomic Duplication in Autism Spectrum Disorder by Edward James Higginbotham A thesis submitted in conformity with the requirements for the degree of Master of Science Graduate Department of Molecular Genetics University of Toronto © Copyright by Edward James Higginbotham 2020 i Abstract Characterizing Genomic Duplication in Autism Spectrum Disorder Edward James Higginbotham Master of Science Graduate Department of Molecular Genetics University of Toronto 2020 Duplication, the gain of additional copies of genomic material relative to its ancestral diploid state is yet to achieve full appreciation for its role in human traits and disease. Challenges include accurately genotyping, annotating, and characterizing the properties of duplications, and resolving duplication mechanisms. Whole genome sequencing, in principle, should enable accurate detection of duplications in a single experiment. This thesis makes use of the technology to catalogue disease relevant duplications in the genomes of 2,739 individuals with Autism Spectrum Disorder (ASD) who enrolled in the Autism Speaks MSSNG Project. Fine-mapping the breakpoint junctions of 259 ASD-relevant duplications identified 34 (13.1%) variants with complex genomic structures as well as tandem (193/259, 74.5%) and NAHR- mediated (6/259, 2.3%) duplications. As whole genome sequencing-based studies expand in scale and reach, a continued focus on generating high-quality, standardized duplication data will be prerequisite to addressing their associated biological mechanisms. ii Acknowledgements I thank Dr. Stephen Scherer for his leadership par excellence, his generosity, and for giving me a chance. I am grateful for his investment and the opportunities afforded me, from which I have learned and benefited. I would next thank Drs.
    [Show full text]
  • On the Relevance of the Differential Expressions $ F^ 2+ F'^ 2$, $ F+ F
    On the relevance of the differential expressions 2 2 2 f + f ′ , f + f ′′ and ff ′′ f ′ for the geometrical and mechanical− properties of curves James Bell Cooper Contents 1 Introduction 4 2 The Kepler problem 9 2.1 Kepler’ssecondlaw........................ 9 2.2 Theinversesquarelaw ...................... 10 2.3 The Newton-Somerville equation . 11 2.4 Acriterionforapowerlaw. 13 2.5 Someapplications......................... 13 2.6 Twosimplecases ......................... 14 3 The Affine Curvature of an Orbit Determines the Force Law 16 3.1 Further geometric quantities associated with orbits . 16 3.2 Affinecurvature.......................... 17 3.3 Acomputationalproof . 18 arXiv:1102.1579v1 [math-ph] 8 Feb 2011 3.4 Aconceptualproof ........................ 19 4 The Kasner-Arnold duality 20 4.1 Sinusoidal spirals and the d-transformation . 20 4.2 Thegeneralsituation . .. .. 21 5 A Duality between Trajectories for Central and Parallel Force Laws 23 5.1 Curves of the form (F (t), f(t)).................. 24 5.2 The duality (quadrality) . 25 1 5.3 Examplesofduality........................ 26 5.4 The sinusoidal spirals and catenaries . 28 6 On the expressions f 2 + f ′2, f + f ′′, ff ′′ f 2, how to solve the ′ ′′ −′′ equations f 2 + f 2 = af α, f + f = bf β, ff f 2 = cf γ and why one might want to − 29 6.1 The relationship between the equations . 30 6.2 Somesolutions .......................... 30 6.3 Wheretheexpressionsarise . 32 6.4 The calculus of variations . 33 6.5 Twomoresubtleexamples . 34 6.6 Miscellanea ............................ 35 6.6.1 The explicit form of the parametrisation (Fd(t), fd(t)) 35 6.6.2 Theconnectionwithcontactgeometry . 35 6.6.3 Curveswithprescribedcurvature .
    [Show full text]
  • Symmetrical Laws of Structure of Helicoidally-Like Biopolymers in the Framework of Algebraic Topology
    Symmetrical laws of structure of helicoidally-like biopolymers in the framework of algebraic topology. III. Nature of the double and relations between the alpha helix and the various forms of DNA structures M.I.Samoylovich, A.L.Talis Central Research and Technology Institute "Technomash", Moscow E-mail: [email protected] Institute of Organoelement Compounds of Russian Academy of Sciences, Moscow Crystallography Reports, in press In the frameworks of algebraic topology α-helix and different DNA-conformations are determined as the local latticed packing, confined by peculiar minimal surfaces which are similar to helicoids. These structures are defined by Weierstrass representation and satisfy to a zero condition for the instability index of the surface and availability of bifurcation points for these surfaces. The topological stability of such structures corresponds to removing of the configuration degeneracy and to existence of bifurcation points for these surfaces. The considered ordered non-crystalline structures are determined by homogeneous manifolds - algebraic polytopes, corresponding to the definite substructures the 8-dimensional lattice E8.The joining of two semi-turns of two spirals into the turn of a single two-spiral (helical) system is effected by the topological operation of a connected sum. The applied apparatus permits to determine a priori the symmetry parameters of the double spirals in A, B and Z forms DNA structures. 1. Introduction .Properties of minimal surfaces and their presetting by the Weierstrass representation One difficulty of local description of non-crystalline systems consists in the necessity to consider their ordering automorphisms, playing the role (as a rule, in a parametric way) of customary symmetry elements; therefore, in present work, a special attention will be given to visualization of algebraic elements and one-parameter subgroups used to achieve this.
    [Show full text]
  • Structure of the Essential MTERF4:NSUN4 Protein Complex Reveals How an MTERF Protein Collaborates to Facilitate Rrna Modification
    View metadata, citation and similar papers at core.ac.uk brought to you by CORE provided by Elsevier - Publisher Connector Structure Article Structure of the Essential MTERF4:NSUN4 Protein Complex Reveals How an MTERF Protein Collaborates to Facilitate rRNA Modification Elena Yakubovskaya,1,2 Kip E. Guja,1,2 Edison Mejia,1,2 Steven Castano,1 Elena Hambardjieva,1 Woo Suk Choi,1 and Miguel Garcia-Diaz1,* 1Department of Pharmacological Sciences, Stony Brook University, Stony Brook, NY 11794, USA 2These authors contributed equally to this work *Correspondence: [email protected] http://dx.doi.org/10.1016/j.str.2012.08.027 SUMMARY nizes a sequence in the mitochondrial tRNA-Leu(UUR) gene, which is downstream and adjacent to the 16S rRNA gene MTERF4 is the first MTERF family member shown to and promotes bidirectional transcriptional termination (Asin- bind RNA and plays an essential role as a regulator of Cayuela et al., 2005; Yakubovskaya et al., 2010). MTERF2 and ribosomal biogenesis in mammalian mitochondria. It MTERF3 have been proposed to associate with mitochondrial forms a complex with the rRNA methyltransferase DNA in a nonsequence-specific manner and regulate mtDNA NSUN4 and recruits it to the large ribosomal subunit. transcription (Park et al., 2007; Roberti et al., 2009; Wenz In this article, we characterize the interaction et al., 2009). Recently, crystal structures of MTERF1 (Jime´ nez-Mene´ ndez between both proteins, demonstrate that MTERF4 et al., 2010; Yakubovskaya et al., 2010) and MTERF3 (Spa˚ hr strongly stimulates the specificity of NSUN4 during et al., 2010) have revealed that these proteins share a unique in vitro methylation experiments, and present the superhelical fold.
    [Show full text]