Structural Inference of Native and Partially Folded RNA by High-Throughput Contact Mapping

Total Page:16

File Type:pdf, Size:1020Kb

Structural Inference of Native and Partially Folded RNA by High-Throughput Contact Mapping Structural inference of native and partially folded RNA by high-throughput contact mapping Rhiju Das*†, Madhuri Kudaravalli*, Magdalena Jonikas‡, Alain Laederach§, Robert Fong¶, Jason P. Schwans*, David Bakerʈ, Joseph A. Piccirilli¶, Russ B. Altman‡§, and Daniel Herschlag*,** Departments of *Biochemistry, ‡Bioengineering, and §Genetics, Stanford University, Stanford, CA 94305; ¶Department of Chemistry, University of Chicago, Chicago, IL 60637; and ʈDepartment of Biochemistry, University of Washington, Seattle, WA 98195 Edited by Alan M. Lambowitz, University of Texas, Austin, TX, and approved December 18, 2007 (received for review September 24, 2007) The biological behaviors of ribozymes, riboswitches, and numer- and RNA/protein complexes function through structures in which ous other functional RNA molecules are critically dependent on only a portion of the RNA molecule adopts a discrete three- their tertiary folding and their ability to sample multiple functional dimensional fold (4, 8, 9). Overall, understanding the fundamental states. The conformational heterogeneity and partially folded properties, folding pathways, and energetics of functional RNA nature of most of these states has rendered their characterization molecules requires information about intermediates in the folding by high-resolution structural approaches difficult or even intrac- process and not just a single final folded state (10). The partially table. Here we introduce a method to rapidly infer the tertiary folded nature of these intermediates renders their characterization helical arrangements of large RNA molecules in their native and by x-ray crystallography and NMR particularly difficult and possibly non-native solution states. Multiplexed hydroxyl radical (⅐OH) intractable; structural information for these states, even at a modest cleavage analysis (MOHCA) enables the high-throughput detection spatial resolution, would be a boon for the understanding of RNA of numerous pairs of contacting residues via random incorporation behavior. of radical cleavage agents followed by two-dimensional gel elec- The difficulty of inferring RNA structure is underscored by trophoresis. We validated this technology by recapitulating the continuing investigations of the first large globular RNA whose unfolded and native states of a well studied model RNA, the P4–P6 native structure was determined by crystallography (11, 12), the domain of the Tetrahymena ribozyme, at subhelical resolution. We 158-nucleotide P4–P6 domain of the Tetrahymena thermophila then applied MOHCA to a recently discovered third state of the group I intron. Despite its status as one of the best-studied model P4–P6 RNA that is stabilized by high concentrations of monovalent systems in RNA folding (see, e.g., refs. 13–17), the structure of a salt and whose partial order precludes conventional techniques for partially folded state of this RNA, discovered in studies at high structure determination. The three-dimensional portrait of a com- monovalent ion concentrations (17), remains unknown. This state, pact, non-native RNA state reveals a well ordered subset of native attained under unusual solution conditions, mimics a kinetic and tertiary contacts, in contrast to the dynamic but otherwise similar thermodynamic folding intermediate observed in folding pathway molten globule states of proteins. With its applicability to nearly of the P4–P6 RNA and its mutants under physiological conditions any solution state, we expect MOHCA to be a powerful tool for (17). As illustrated by the insightful studies of molten globule states illuminating the many functional structures of large RNA molecules in protein folding (see, e.g., ref. 18), a complete picture of RNA and RNA/protein complexes. structure and energetics will be greatly aided by understanding such folding intermediates and their analogs. hydroxyl radical ͉ molten globule ͉ Tetrahymena ribozyme ͉ We present a high-throughput contact-mapping technique that two-dimensional gel permits the rapid inference of the helical arrangement of RNA conformations and apply it to three states of the P4–P6 RNA: the unfolded state, the folded state, and the hitherto unsolved partially he discoveries of catalytic RNAs, silencing RNAs, riboswitches, folded state. Although currently at modest resolution, these struc- and a panoply of functional RNA molecules have sweeping T tural portraits clearly illustrate physical distinctions between the implications for our views of evolution from an early ‘‘RNA World’’ three states and illuminate informative similarities and differences and for the potential of structured RNAs to act in roles beyond the relative to protein folding intermediates. High-throughput contact simple transmission of information laid out in the Central Dogma mapping holds immediate promise for revealing previously unavail- of Molecular Biology (1). The functions of these RNAs in primitive able structural information for the many folded and partially folded and modern life are being elucidated at an explosive pace. Never- states of large RNAs. theless, a deep understanding of these fundamental biopolymers and their biological roles requires structural portraits of their Results functional states, and, in this respect, progress has been slow. Contact Mapping by Multiplexed Hydroxyl Radical Cleavage Analysis. Our understanding of RNA structure has greatly lagged behind Without crystallographic diffraction data, pairwise distance con- that of protein structure: compared with nearly 40,000 protein straints are the most valuable type of data for structural inference, structures in the Protein Data Bank, there are currently Ͻ1,000 experimentally determined RNA structures, most of which are small fragments (2). High-resolution approaches using NMR spec- Author contributions: R.D., A.L., D.B., R.B.A., and D.H. designed research; R.D., M.K., and troscopy (NMR) and x-ray crystallography have the potential to M.J. performed research; R.D., R.F., J.P.S., and J.A.P. contributed new reagents/analytic describe RNA structure at the atomic level, but have been consid- tools; R.D. analyzed data; and R.D. and D.H. wrote the paper. erably hampered by numerous factors, including limited chemical The authors declare no conflict of interest. shift dispersion, the large sizes of structured RNAs, and the poor This article is a PNAS Direct Submission. behavior of RNA at high concentrations. Freely available online through the PNAS open access option. Further enriching and complicating the modeling of RNA be- †Present address: Department of Biochemistry, University of Washington, Seattle, WA havior is the seemingly pervasive tendency of RNA to form 98195. alternative secondary and tertiary structures. Indeed, cycling be- **To whom correspondence should be addressed. E-mail: [email protected]. tween partially structured folding intermediates or alternative This article contains supporting information online at www.pnas.org/cgi/content/full/ conformations appears to be crucial to the versatility and function 0709032105/DC1. of RNAs in their cellular milieu (3–7). Furthermore, many RNAs © 2008 by The National Academy of Sciences of the USA 4144–4149 ͉ PNAS ͉ March 18, 2008 ͉ vol. 105 ͉ no. 11 www.pnas.org͞cgi͞doi͞10.1073͞pnas.0709032105 5´ cleavage agent and the residues cleaved by that particular agent. A O 5´ 3´ O P O- O O O Combining the resulting data with new computational tools then O - O C S- O P O P O P O O A Step 1 Step 2 O- O- NH2 S- O OH generates three-dimensional structures of folding states. The tech- OH O P S- γ−32 NH2 P ATP T7 polymerase O A O S- ⅐ ATP, GTP, T4 Kinase nique, which we term Multiplexed OH Cleavage Analysis (MO- O NH 32 NH UTP, CTP - 2 O P O P HCA), is briefly summarized below and in Fig. 1A. A complete DNA Template O O A O OH step-by-step protocol is given in the supporting information (SI) 5´ 3´ O Text. O P S- 5´ O O A Step 5 Steps 6 & 7 Incorporation of the cleavage agent into a large RNA is accom- Steps 3 & 4 HN S O O - OO S- - - O P O HN O -O 2+ plished by in vitro transcription of the RNA in the presence of a O O A N O Gel Fe Mg •OH S- ITCB-EDTA O- Fe O purify & Ascorbate Fe Fe(III) O OH N •OH O P O- elute S- •OH •OH modified nucleotide triphosphate (step 1, Fig. 1A). The nucleotide O cleavage 3´ ITCB-EDTA Fe 3´ contains a 2Ј-amino modification, which allows attachment of the Position of •OH Cleavage Agent hydroxyl radical cleavage agent, and a phosphorothioate group, Position of •OH Cleavage Position of •OH Cleavage Step 8 Step 9 Step 10 which allows specific cleavage at a later stage (24); this ‘‘tagging’’ strategy has been widely used for high-throughput mutational Gel I 2 Gel sorting Cleavage sorting analysis (25). After random incorporation of the modified nucle- by at by size: phosphoro- size: st otide at a frequency of approximately one modification per RNA 1 thioate 2nd e direction direction (step 1), the RNA is end-radiolabeled (step 2) and the cleavage agent, an Fe-EDTA chelate, is tethered to the 2Ј-amino groups that B are present throughout the RNA molecules (steps 3 and 4). This A115 C D A123 A133 A146 A140 A pool of RNA molecules is purified (step 5) and folded to the desired C A G A C A G C U A G C 200 G C state (step 6), after which localized radical generation is initiated by P5a C GU G U 120 A U U G G C P5 C G U A C G C G reduction of Fe(III) to Fe(II) and then quenched after several G G A U U A A U A A A A minutes (step 7). The cleavage products are first separated by length U A A A 180 G C G C C G P5c UA C G G U A A 260 A A AGG C G via polyacrylamide gel electrophoresis (step 8). This pattern indi- C G C CA P4 C G U G U C C U G G A 140 A U U G cates where each RNA was cleaved but not the location of the A U G U U 160 G C P6 C G A A G G A U G C C A responsible cleavage agent.
Recommended publications
  • Structural Mechanisms of Oligomer and Amyloid Fibril Formation by the Prion Protein Cite This: Chem
    ChemComm View Article Online FEATURE ARTICLE View Journal | View Issue Structural mechanisms of oligomer and amyloid fibril formation by the prion protein Cite this: Chem. Commun., 2018, 54,6230 Ishita Sengupta a and Jayant B. Udgaonkar *b Misfolding and aggregation of the prion protein is responsible for multiple neurodegenerative diseases. Works from several laboratories on folding of both the WT and multiple pathogenic mutant variants of the prion protein have identified several structurally dissimilar intermediates, which might be potential precursors to misfolding and aggregation. The misfolded aggregates themselves are morphologically distinct, critically dependent on the solution conditions under which they are prepared, but always b-sheet rich. Despite the lack of an atomic resolution structure of the infectious pathogenic agent in prion diseases, several low resolution models have identified the b-sheet rich core of the aggregates formed in vitro, to lie in the a2–a3 subdomain of the prion protein, albeit with local stabilities that vary Received 17th April 2018, with the type of aggregate. This feature article describes recent advances in the investigation of in vitro Accepted 14th May 2018 prion protein aggregation using multiple spectroscopic probes, with particular focus on (1) identifying DOI: 10.1039/c8cc03053g aggregation-prone conformations of the monomeric protein, (2) conditions which trigger misfolding and oligomerization, (3) the mechanism of misfolding and aggregation, and (4) the structure of the misfolded rsc.li/chemcomm intermediates and final aggregates. 1. Introduction The prion protein can exist in two distinct structural isoforms: a National Centre for Biological Sciences, Tata Institute of Fundamental Research, PrPC and PrPSc.
    [Show full text]
  • Native-Like Mean Structure in the Unfolded Ensemble of Small Proteins
    B doi:10.1016/S0022-2836(02)00888-4 available online at http://www.idealibrary.com on w J. Mol. Biol. (2002) 323, 153–164 Native-like Mean Structure in the Unfolded Ensemble of Small Proteins Bojan Zagrovic1, Christopher D. Snow1, Siraj Khaliq2 Michael R. Shirts2 and Vijay S. Pande1,2* 1Biophysics Program The nature of the unfolded state plays a great role in our understanding of Stanford University, Stanford proteins. However, accurately studying the unfolded state with computer CA 94305-5080, USA simulation is difficult, due to its complexity and the great deal of sampling required. Using a supercluster of over 10,000 processors we 2Department of Chemistry have performed close to 800 ms of molecular dynamics simulation in Stanford University, Stanford atomistic detail of the folded and unfolded states of three polypeptides CA 94305-5080, USA from a range of structural classes: the all-alpha villin headpiece molecule, the beta hairpin tryptophan zipper, and a designed alpha-beta zinc finger mimic. A comparison between the folded and the unfolded ensembles reveals that, even though virtually none of the individual members of the unfolded ensemble exhibits native-like features, the mean unfolded structure (averaged over the entire unfolded ensemble) has a native-like geometry. This suggests several novel implications for protein folding and structure prediction as well as new interpretations for experiments which find structure in ensemble-averaged measurements. q 2002 Elsevier Science Ltd. All rights reserved Keywords: mean-structure hypothesis; unfolded state of proteins; *Corresponding author distributed computing; conformational averaging Introduction under folding conditions, with some notable exceptions.14 – 16 This is understandable since under Historically, the unfolded state of proteins has such conditions the unfolded state is an unstable, received significantly less attention than the folded fleeting species making any kind of quantitative state.1 The reasons for this are primarily its struc- experimental measurement very difficult.
    [Show full text]
  • DNA Energy Landscapes Via Calorimetric Detection of Microstate Ensembles of Metastable Macrostates and Triplet Repeat Diseases
    DNA energy landscapes via calorimetric detection of microstate ensembles of metastable macrostates and triplet repeat diseases Jens Vo¨ lkera, Horst H. Klumpb, and Kenneth J. Breslauera,c,1 aDepartment of Chemistry and Chemical Biology, Rutgers, The State University of New Jersey, 610 Taylor Rd, Piscataway, NJ 08854; bDepartment of Molecular and Cell Biology, University of Cape Town, Private Bag, Rondebosch 7800, South Africa; and cCancer Institute of New Jersey, New Brunswick, NJ 08901 Communicated by I. M. Gelfand, Rutgers, The State University of New Jersey, Piscataway, NJ, October 15, 2008 (received for review September 8, 2008) Biopolymers exhibit rough energy landscapes, thereby allowing biological role(s), if any, of kinetically stable (metastable) mi- biological processes to access a broad range of kinetic and ther- crostates that make up the time-averaged, native state ensembles modynamic states. In contrast to proteins, the energy landscapes of macroscopic nucleic acid states remains to be determined. of nucleic acids have been the subject of relatively few experimen- As part of an effort to address this deficiency, we report here tal investigations. In this study, we use calorimetric and spectro- experimental evidence for the presence of discrete microstates scopic observables to detect, resolve, and selectively enrich ener- in metastable triplet repeat bulge looped ⍀-DNAs of potential getically discrete ensembles of microstates within metastable DNA biological significance. The specific triplet repeat bulge looped structures. Our results are consistent with metastable, ‘‘native’’ ⍀-DNA species investigated mimic slipped DNA structures DNA states being composed of an ensemble of discrete and corresponding to intermediates in the processes that lead to kinetically stable microstates of differential stabilities, rather than DNA expansion in triplet repeat diseases (36).
    [Show full text]
  • Conformational Search for the Protein Native State
    CHAPTER 19 CONFORMATIONAL SEARCH FOR THE PROTEIN NATIVE STATE Amarda Shehu Assistant Professor Dept. of Comp. Sci. Al. Appnt. Dept. of Comp. Biol. and Bioinf. George Mason University 4400 University Blvd. MSN 4A5 Fairfax, Virginia, 22030, USA Abstract This chapter presents a survey of computational methods that obtain a struc- tural description of the protein native state. This description is important to understand a protein's biological function. The chapter presents the problem of characterizing the native state in conformational detail in terms of the chal- lenges that it raises in computation. Computing the conformations populated by a protein under native conditions is cast as a search problem. Methods such as Molecular Dynamics and Monte Carlo are treated rst. Multiscaling, the combination of reduced and high complexity models of conformations, is briey summarized as a powerful strategy to rapidly extract important fea- tures of the energy surface associated with the protein conformational space. Other strategies that narrow the search space through information obtained in the wet lab are also presented. The chapter then focuses on enhanced sam- Protein Structure Prediction:Method and Algorithms. By H. Rangwala & G. Karypis 1 Copyright c 2013 John Wiley & Sons, Inc. 2 CONFORMATIONAL SEARCH FOR THE PROTEIN NATIVE STATE pling strategies employed to compute native-like conformations when given only amino-acid sequence. Fragment-based assembly methods are analyzed for their success and what they are revealing about the physical process of folding. The chapter concludes with a discussion of future research directions in the computational quest for the protein native state. 19.1 THE QUEST FOR THE PROTEIN NATIVE STATE From the rst formulation of the protein folding problem by Wu in 1931 to the experiments of Mirsky and Pauling in 1936, chemical and physical properties of protein molecules were attributed to the amino-acid composition and structural arrangement of the protein chain [86, 56].
    [Show full text]
  • A Comparison of the Folding Kinetics of a Small, Artificially Selected DNA Aptamer with Those of Equivalently Simple Naturally Occurring Proteins
    A comparison of the folding kinetics of a small, artificially selected DNA aptamer with those of equivalently simple naturally occurring proteins Camille Lawrence,1 Alexis Vallee-B elisle, 2,3 Shawn H. Pfeil,4,5 Derek de Mornay,2 Everett A. Lipman,1,4 and Kevin W. Plaxco1,2* 1Interdepartmental Program in Biomolecular Science and Engineering, University of California, Santa Barbara, California 93106 2Department of Chemistry and Biochemistry, University of California, Santa Barbara, California 93106 3Laboratory of Biosensors and Nanomachines, Departement de Chimie, Universite de Montreal, Quebec, Canada 4Department of Physics, University of California, Santa Barbara, California 93106 5Department of Physics, West Chester University of Pennsylvania, West Chester, Pennsylvania 19383 Received 16 July 2013; Revised 17 October 2013; Accepted 23 October 2013 DOI: 10.1002/pro.2390 Published online 29 October 2013 proteinscience.org Abstract: The folding of larger proteins generally differs from the folding of similarly large nucleic acids in the number and stability of the intermediates involved. To date, however, no similar com- parison has been made between the folding of smaller proteins, which typically fold without well- populated intermediates, and the folding of small, simple nucleic acids. In response, in this study, we compare the folding of a 38-base DNA aptamer with the folding of a set of equivalently simple proteins. We find that, as is true for the large majority of simple, single domain proteins, the aptamer folds through a concerted, millisecond-scale process lacking well-populated intermedi- ates. Perhaps surprisingly, the observed folding rate falls within error of a previously described relationship between the folding kinetics of single-domain proteins and their native state topology.
    [Show full text]
  • Study of the Variability of the Native Protein Structure
    Study of the Variability of the Native Protein Structure Xusi Han, Woong-Hee Shin, Charles W Christoffer, Genki Terashi, Lyman Monroe, and Daisuke Kihara, Purdue University, West Lafayette, IN, United States r 2018 Elsevier Inc. All rights reserved. Introduction Proteins are flexible molecules. After being translated from a messenger RNA by a ribosome, a protein folds into its native structure (the structure of lowest free energy), which is suitable for carrying out its biological function. Although the native structure of a protein is stabilized by physical interactions of atoms including hydrogen bonds, disulfide bonds between cysteine residues, van der Waals interactions, electrostatic interactions, and solvation (interactions with solvent), the structure still admits flexible motions. Motions include those of side-chains, and some parts of main-chains, especially regions that do not form the secondary structures, which are often called loop regions. In many cases, the flexibility of proteins plays an important or essential role in the biological functions of the proteins. For example, for some enzymes, such as triosephosphate isomerase (Derreumaux and Schlick, 1998), loop regions that exist in vicinity of active (i.e., enzymatic reaction) sites, takes part in binding and holding a ligand molecule. Transporters, such as maltose transporter (Chen, 2013), are known to make large open-close motions to transfer ligand molecules across the cellular membrane. For many motor proteins, such as myosin V that “walk” along actin filament as observed in muscle contraction (Kodera and Ando, 2014), flexibility is the central for their functions. Reflecting such intrinsic flexibility of protein structures, differences are observed in protein tertiary structures determined by experimental methods such as X-ray crystallography, nuclear magnetic resonance (NMR) when they are solved under different conditions.
    [Show full text]
  • Evolution of Biomolecular Structure Class II Trna-Synthetases and Trna
    University of Illinois at Urbana-Champaign Luthey-Schulten Group Theoretical and Computational Biophysics Group Evolution of Biomolecular Structure Class II tRNA-Synthetases and tRNA MultiSeq Developers: Prof. Zan Luthey-Schulten Elijah Roberts Patrick O’Donoghue John Eargle Anurag Sethi Dan Wright Brijeet Dhaliwal March 2006. A current version of this tutorial is available at http://www.ks.uiuc.edu/Training/Tutorials/ CONTENTS 2 Contents 1 Introduction 4 1.1 The MultiSeq Bioinformatic Analysis Environment . 4 1.2 Aminoacyl-tRNA Synthetases: Role in translation . 4 1.3 Getting Started . 7 1.3.1 Requirements . 7 1.3.2 Copying the tutorial files . 7 1.3.3 Configuring MultiSeq . 8 1.3.4 Configuring BLAST for MultiSeq . 10 1.4 The Aspartyl-tRNA Synthetase/tRNA Complex . 12 1.4.1 Loading the structure into MultiSeq . 12 1.4.2 Selecting and highlighting residues . 13 1.4.3 Domain organization of the synthetase . 14 1.4.4 Nearest neighbor contacts . 14 2 Evolutionary Analysis of AARS Structures 17 2.1 Loading Molecules . 17 2.2 Multiple Structure Alignments . 18 2.3 Structural Conservation Measure: Qres . 19 2.4 Structure Based Phylogenetic Analysis . 21 2.4.1 Limitations of sequence data . 21 2.4.2 Structural metrics look further back in time . 23 3 Complete Evolutionary Profile of AspRS 26 3.1 BLASTing Sequence Databases . 26 3.1.1 Importing the archaeal sequences . 26 3.1.2 Now the other domains of life . 27 3.2 Organizing Your Data . 28 3.3 Finding a Structural Domain in a Sequence . 29 3.4 Aligning to a Structural Profile using ClustalW .
    [Show full text]
  • Protein Folding
    Protein Folding I. Characteristics of proteins 1. Proteins are one of the most important molecules of life. They perform numerous functions, from storing oxygen in tissues or transporting it in a blood (proteins myoglobin and hemoglobin) to muscle contraction and relaxation (titin) or cell mobility (fibronectin) to name a few. 2. Proteins are heteropolymers and consist of 20 different monomers or amino acids (Fig. 1). When amino acids are linked in a chain, they become residues and form a polypeptide sequence. Amino acids differ with respect to their side chains. i i-1 i+1 Cα Fig. 1 Structure of a polypeptide chain. A single amino acid residue i boxed by a dashed lines contains amide group NH, carboxyl group CO and Cα-carbon. Amino acid side chain Ri along with hydrogen H are attached to Cα-carbon. Amino acids differ with respect to their side chains Ri. Protein sequences utilize twenty different residues. Roughly speaking, depending on the nature of their side chains amino acids may be divided into three classes – hydrophobic, hydrophilic (polar), and charged (i.e., carrying positive or negative net charge) amino acids. The average number of amino acids N in protein is about 450, but N may range from about 30 to 104. 3. The remarkable feature of proteins is an existence of unique native state - a single well-defined structure, in which a protein performs its biological function (Fig. 2). Native states of proteins arise due to the diversity in amino acids. (Illustration of the uniqueness of the native state using lattice model is given in the class.) Large proteins are often folded into relatively independent units called domains.
    [Show full text]
  • Native-Like Secondary Structure in a Peptide From
    View metadata, citation and similar papers at core.ac.uk brought to you by CORE provided by Elsevier - Publisher Connector Research Paper 473 Native-like secondary structure in a peptide from the ␣-domain of hen lysozyme Jenny J Yang1*, Bert van den Berg*, Maureen Pitkeathly, Lorna J Smith, Kimberly A Bolin2, Timothy A Keiderling3, Christina Redfield, Christopher M Dobson and Sheena E Radford4 Background: To gain insight into the local and nonlocal interactions that Addresses: Oxford Centre for Molecular Sciences contribute to the stability of hen lysozyme, we have synthesized two peptides and New Chemistry Laboratory, University of Oxford, South Parks Road, Oxford OX1 3QT, UK. that together comprise the entire ␣-domain of the protein. One peptide (peptide Present addresses: 1Department of Molecular 1–40) corresponds to the sequence that forms two ␣-helices, a loop region, and Physics and Biochemistry, Yale University, 266 a small ␤-sheet in the N-terminal region of the native protein. The other (peptide Whitney Avenue, PO Box 208114, New Haven, 84–129) makes up the C-terminal part of the ␣-domain and encompasses two CT 06520-8114, USA. 2Department of Chemistry ␣-helices and a 310 helix in the native protein. and Biochemistry, University of California, Santa Cruz, CA 96064, USA. 3Department of Chemistry, University of Illinois, 845 West Taylor Street, Results: As judged by CD and a range of NMR parameters, peptide 1–40 has Chicago, IL 60607-7061, USA. 4Department of little secondary structure in aqueous solution and only a small number of local Biochemistry and Molecular Biology, University of hydrophobic interactions, largely in the loop region.
    [Show full text]
  • Microsecond Sub-Domain Motions and the Folding and Misfolding of the Mouse Prion Protein Rama Reddy Goluguri1, Sreemantee Sen1, Jayant Udgaonkar1,2*
    RESEARCH ARTICLE Microsecond sub-domain motions and the folding and misfolding of the mouse prion protein Rama Reddy Goluguri1, Sreemantee Sen1, Jayant Udgaonkar1,2* 1National Centre for Biological Sciences, Tata Institute of Fundamental Research, Bengaluru, India; 2Indian Institute of Science Education and Research, Pune, India Abstract Protein aggregation appears to originate from partially unfolded conformations that are sampled through stochastic fluctuations of the native protein. It has been a challenge to characterize these fluctuations, under native like conditions. Here, the conformational dynamics of the full-length (23-231) mouse prion protein were studied under native conditions, using photoinduced electron transfer coupled to fluorescence correlation spectroscopy (PET-FCS). The slowest fluctuations could be associated with the folding of the unfolded state to an intermediate state, by the use of microsecond mixing experiments. The two faster fluctuations observed by PET- FCS, could be attributed to fluctuations within the native state ensemble. The addition of salt, which is known to initiate the aggregation of the protein, resulted in an enhancement in the time scale of fluctuations in the core of the protein. The results indicate the importance of native state dynamics in initiating the aggregation of proteins. DOI: https://doi.org/10.7554/eLife.44766.001 Introduction Structural fluctuations in proteins are not only critical for function (Henzler-Wildman and Kern, 2007; Yang et al., 2014) and folding (Wani and Udgaonkar, 2009; Malhotra and Udgaonkar, *For correspondence: 2016; Frauenfelder et al., 1991; Bai et al., 1995), but also have a role to play in protein misfolding [email protected] and aggregation (Scheibel, 2001; Elam et al., 2003; Chiti and Dobson, 2009; Singh and Udgaon- Competing interests: The kar, 2015a).
    [Show full text]
  • From Knowledge of Secondary Structure ALESSANDRO MONGE*T, RICHARD A
    Proc. Nadl. Acad. Sci. USA Vol. 91, pp. 5027-5029, May 1994 Biophysics An algorithm to generate low-resolution protein tertiary structures from knowledge of secondary structure ALESSANDRO MONGE*t, RICHARD A. FRIESNER*t, AND BARRY HONIG# *Department of Chemistry and tCenter for Biomolecular Simulation, Columbia University, New York, NY 10027; and tDepartment of Biochemistry and Molecular Biophysics, Columbia University, New York, NY 10032 Communicated by William A. Goddard, October 11, 1993 ABSTRACT An alg ithm described to assemble the annealing) of a model of this type should then be relieved three-dimensional fold of a protein starting from Its secondary from the multiple-minima problem and be able to find the strucure. A reduced reprenation ofthe polypeptide chain is native fold. used together with a crude potentil based on pair hydropho- Several previous workers have investigated the idea that bicides. The method Is shown to be s ful in locating the protein structure can be understood by packing secondary- native topology for two 4-a-hex budes, myohemerythrin structure elements (6-8). Reasonable (although generally and cytochrome b-562. rather qualitative) results have been obtained in most ofthese studies, which have encouraged us to pursue the research The native fold ofprotein molecules is the result of a delicate described here. Ourwork differs from the papers cited above, balance offorces involving intramolecular as well as protein- however, in the details of the model and the computational solvent interactions. Over the last 15 years, empirical force algorithms; as is shown below, we have been able to obtain fields have been developed to describe relative molecular relatively accurate structures with an algorithm that is en- energies as a function of atomic positions.
    [Show full text]
  • Geometric and Physical Considerations for Realistic Protein Models
    Geometric and physical considerations for realistic protein models The Harvard community has made this article openly available. Please share how this access benefits you. Your story matters Citation Hubner, Isaac A., and Eugene I. Shakhnovich. 2005. “Geometric and Physical Considerations for Realistic Protein Models.” Physical Review E72 (2): 022901. https://doi.org/10.1103/ PhysRevE.72.022901. Citable link http://nrs.harvard.edu/urn-3:HUL.InstRepos:41534518 Terms of Use This article was downloaded from Harvard University’s DASH repository, and is made available under the terms and conditions applicable to Other Posted Material, as set forth at http:// nrs.harvard.edu/urn-3:HUL.InstRepos:dash.current.terms-of- use#LAA Geometric and physical considerations for realistic protein models. Isaac A. Hubner and Eugene I. Shakhnovich* Department of Chemistry and Chemical Biology Harvard University 12 Oxford Street Cambridge, MA 02138 *corresponding author tel: 617-495-4130 fax: 617-384-9228 email: [email protected] 1 Abstract Protein structure is generally conceptualized as the global arrangement or of smaller, local motifs of helices, sheets, and loops. These regular, recurring secondary structural elements have well-understood and standardized definitions in terms of amino acid backbone geometry and the manner in which hydrogen bonding requirements are satisfied. Recently, “tube” models have been proposed to explain protein secondary structure in terms of the geometrically optimal packing of a featureless cylinder. However, atomically detailed simulations demonstrate that such packing considerations alone are insufficient for defining secondary structure; both excluded volume and hydrogen bonding must be explicitly modeled for helix formation. These results have fundamental implications for the construction and interpretation of realistic and meaningful biomacromolecular models.
    [Show full text]