Structure, Function, and Regulation of the Hsp90 Machinery
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Targeting the LKB1 Tumor Suppressor
Send Orders for Reprints to [email protected] 32 Current Drug Targets, 2014, 15, 32-52 Targeting the LKB1 Tumor Suppressor Rui-Xun Zhao and Zhi-Xiang Xu* Division of Hematology and Oncology, Comprehensive Cancer Center, University of Alabama at Birmingham, Birmingham, AL, USA Abstract: LKB1 (also known as serine-threonine kinase 11, STK11) is a tumor suppressor, which is mutated or deleted in Peutz-Jeghers syndrome (PJS) and in a variety of cancers. Physiologically, LKB1 possesses multiple cellular functions in the regulation of cell bioenergetics metabolism, cell cycle arrest, embryo development, cell polarity, and apoptosis. New studies demonstrated that LKB1 may also play a role in the maintenance of function and dynamics of hematopoietic stem cells. Over the past years, personalized therapy targeting specific genetic aberrations has attracted intense interests. Within this review, several agents with potential activity against aberrant LKB1 signaling have been discussed. Potential strate- gies and challenges in targeting LKB1 inactivation are also considered. Keywords: LKB1 (serine-threonine kinase 11, STK11), AMP-activated protein kinase (AMPK), tumor suppression, mutations, targeting therapeutics. INTRODUCTION THE BIOLOGICAL FUNCTIONS OF LKB1 The LKB1 gene, also known as serine-threonine kinase Cell Metabolism 11 (STK11), was first identified by Jun-ichi Nezu of Chugai About a decade ago, studies from three different groups Pharmaceuticals in 1996 in a screen aimed at identifying new established that LKB1 is the long-sought kinase that phos- kinases [1]. The human LKB1 gene has been mapped to phorylates AMPK [9-11]. AMPK is a heterotrimeric enzyme chromosome 19p13.3. The gene spans 23 kb and is com- complex consisting of a catalytic subunit and regulatory posed of nine coding exons and a noncoding exon [2]. -
The Future of Protein Secondary Structure Prediction Was Invented by Oleg Ptitsyn
biomolecules Review The Future of Protein Secondary Structure Prediction Was Invented by Oleg Ptitsyn 1, 1, 1 2 1,3 Daniel Rademaker y, Jarek van Dijk y, Willem Titulaer , Joanna Lange , Gert Vriend and Li Xue 1,* 1 Centre for Molecular and Biomolecular Informatics (CMBI), Radboudumc, 6525 GA Nijmegen, The Netherlands; [email protected] (D.R.); [email protected] (J.v.D.); [email protected] (W.T.); [email protected] (G.V.) 2 Bio-Prodict, 6511 AA Nijmegen, The Netherlands; [email protected] 3 Baco Institute of Protein Science (BIPS), Mindoro 5201, Philippines * Correspondence: [email protected] These authors contributed equally to this work. y Received: 15 May 2020; Accepted: 2 June 2020; Published: 16 June 2020 Abstract: When Oleg Ptitsyn and his group published the first secondary structure prediction for a protein sequence, they started a research field that is still active today. Oleg Ptitsyn combined fundamental rules of physics with human understanding of protein structures. Most followers in this field, however, use machine learning methods and aim at the highest (average) percentage correctly predicted residues in a set of proteins that were not used to train the prediction method. We show that one single method is unlikely to predict the secondary structure of all protein sequences, with the exception, perhaps, of future deep learning methods based on very large neural networks, and we suggest that some concepts pioneered by Oleg Ptitsyn and his group in the 70s of the previous century likely are today’s best way forward in the protein secondary structure prediction field. -
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. -
Chapter 4 the Three-Dimensional Structure of Proteins
Chapter 4 The Three-Dimensional Structure of Proteins Multiple Choice Questions 1. Answer: D All of the following are considered “weak” interactions in proteins, except: A) hydrogen bonds. B) hydrophobic interactions. C) ionic bonds. D) peptide bonds. E) van der Waals forces. 2. Answer: D In an aqueous solution, protein conformation is determined by two major factors. One is the formation of the maximum number of hydrogen bonds. The other is the: A) formation of the maximum number of hydrophilic interactions. B) maximization of ionic interactions. C) minimization of entropy by the formation of a water solvent shell around the protein. D) placement of hydrophobic amino acid residues within the interior of the protein. E) placement of polar amino acid residues around the exterior of the protein. 3. 3 Answer: A In the diagram below, the plane drawn behind the peptide bond indicates the: A) absence of rotation around the C—N bond because of its partial double-bond character. B) plane of rotation around the C—N bond. C) region of steric hindrance determined by the large C=O group. D) region of the peptide bond that contributes to a Ramachandran plot. E) theoretical space between –180 and +180 degrees that can be occupied by the and angles in the peptide bond. 4. Answer: D Which of the following best represents the backbone arrangement of two peptide bonds? A) C—N—C—C—C—N—C—C B) C—N—C—C—N—C C) C—N—C—C—C—N D) C—C—N—C—C—N Chapter 4 The Three-Dimensional Structure of Proteins E) C—C—C—N—C—C—C 5. -
Conformational Properties of Constrained Proline Analogues and Their Application in Nanobiology”
UNIVERSITAT POLITÈCNICA DE CATALUNYA DEPARTAMENT D’ENGINYERIA QUÍMICA “CONFORMATIONAL PROPERTIES OF CONSTRAINED PROLINE ANALOGUES AND THEIR APPLICATION IN NANOBIOLOGY” Alejandra Flores Ortega Supervisors: Dr. Carlos Alemán Llansó and Dr. Jordi Casanovas Salas. th Barcelona, 27 January 2009 “Chance is a word void of sense; nothing can exist without a cause”. François-Marie Arouet, Voltaire “Imagination will often carry us to worlds that never were. But without it, we go nowhere”. Carl Sagan iii ACKNOWLEDGEMENTS I would like to acknowledge to Dr. Carlos Aleman and Dr. Jordi Cassanovas Salas for an interesting research theme, and scientific support. I gratefully acknowledge to Dr. David Zanuy for interesting suggestions and strong discussions, without their support this would be an unfulfilled task. Also I, would like to address my thanks to all my colleagues in my group and department, specially Elaine Armelin for assiting me in many different ways. I thank not only my friends, but also colleagues for helping me to overcome the stressful time, without whom it would have been difficult to cope up. I wish to express my gratefulness to my parents, specially to my mother, María Esther, for all his care, and support. Also I will like to thanks to my friends and specially Jesus, Merches, Laura y Arturo. My PhD thesis have been finished for all this support. I am greatly indepted to Dr. Ruth Nussinov at NCI, Dr. Carlos Cativiela at the University of Zaragoza and Ana I. Jiménez at the “Instituto de Ciencias de Materiales de Aragon” for a collaborative effort. I wish to thank all my colleague in the “Chimie et Biochimie Théoriques, Faculté des Sciences et Techniques” in Nancy France, I will be grateful to have worked with : Pr. -
Yichen – Structure and Allostery of the Chaperonin Groel. Allosteric
Literature Lunch 5-1-13 Yichen – J Mol Biol. 2013 May 13;425(9):1476-87. doi: 10.1016/j.jmb.2012.11.028. Epub 2012 Nov 24. Structure and Allostery of the Chaperonin GroEL. Saibil HR, Fenton WA, Clare DK, Horwich AL. Source Crystallography and Institute of Structural and Molecular Biology, Birkbeck College London, Malet Street, London WC1E 7HX, UK. Abstract Chaperonins are intricate allosteric machines formed of two back-to-back, stacked rings of subunits presenting end cavities lined with hydrophobic binding sites for nonnative polypeptides. Once bound, substrates are subjected to forceful, concerted movements that result in their ejection from the binding surface and simultaneous encapsulation inside a hydrophilic chamber that favors their folding. Here, we review the allosteric machine movements that are choreographed by ATP binding, which triggers concerted tilting and twisting of subunit domains. These movements distort the ring of hydrophobic binding sites and split it apart, potentially unfolding the multiply bound substrate. Then, GroES binding is accompanied by a 100° twist of the binding domains that removes the hydrophobic sites from the cavity lining and forms the folding chamber. ATP hydrolysis is not needed for a single round of binding and encapsulation but is necessary to allow the next round of ATP binding in the opposite ring. It is this remote ATP binding that triggers dismantling of the folding chamber and release of the encapsulated substrate, whether folded or not. The basis for these ordered actions is an elegant system of nested cooperativity of the ATPase machinery. ATP binds to a ring with positive cooperativity, and movements of the interlinked subunit domains are concerted. -
2. Proteins Have Hierarchies of Structure
27 2. Proteins have Hierarchies of Structure Protein structure is usually described at four different levels (Fig. II.2.1). The first level, called the primary structure, describes the linear sequence of the amino acids in the chain. The different primary structures correspond to the different sequences in which the amino acids are covalently linked together. The secondary structure describes two common patterns of structural repetition in proteins: the coiling up into helices of segments of the chain, and the pairing together of strands of the chain into β-sheets. The tertiary structure is the next higher level of organization, the overall arrangement of secondary structural elements. The quaternary structure describes how different polypeptide chains are assembled into complexes. Figure II.2.1. Different levels of protein structure. A protein chain’s primary structure is its amino acid sequence. Secondary structure consists of the regular organization of helices and sheets. The example shown is a schematic representation of an α helix. Tertiary structure is a polypeptide chain’s three- dimensional native conformation, which often involves compact packing of secondary structure elements. The example given in the figure is a schematic drawing of one of the four polypeptide chains (subunits) of hemoglobin, the protein that transports oxygen in the blood. α-helices along the chain are represented as cylinders. N is the amino terminus and C is the carboxyl terminus of the polypeptide chain. Quaternary structure is the arrangement of multiple polypeptide chains (subunits) to form a functional biomolecular structure. The figure shows the quaternary arrangement of four subunits to form the functional hemoglobin molecule. -
Introduction to Proteins and Amino Acids Introduction
Introduction to Proteins and Amino Acids Introduction • Twenty percent of the human body is made up of proteins. Proteins are the large, complex molecules that are critical for normal functioning of cells. • They are essential for the structure, function, and regulation of the body’s tissues and organs. • Proteins are made up of smaller units called amino acids, which are building blocks of proteins. They are attached to one another by peptide bonds forming a long chain of proteins. Amino acid structure and its classification • An amino acid contains both a carboxylic group and an amino group. Amino acids that have an amino group bonded directly to the alpha-carbon are referred to as alpha amino acids. • Every alpha amino acid has a carbon atom, called an alpha carbon, Cα ; bonded to a carboxylic acid, –COOH group; an amino, –NH2 group; a hydrogen atom; and an R group that is unique for every amino acid. Classification of amino acids • There are 20 amino acids. Based on the nature of their ‘R’ group, they are classified based on their polarity as: Classification based on essentiality: Essential amino acids are the amino acids which you need through your diet because your body cannot make them. Whereas non essential amino acids are the amino acids which are not an essential part of your diet because they can be synthesized by your body. Essential Non essential Histidine Alanine Isoleucine Arginine Leucine Aspargine Methionine Aspartate Phenyl alanine Cystine Threonine Glutamic acid Tryptophan Glycine Valine Ornithine Proline Serine Tyrosine Peptide bonds • Amino acids are linked together by ‘amide groups’ called peptide bonds. -
Detection of Trans-Cis Flips and Peptide-Plane Flips in Protein Structures
research papers Detection of trans–cis flips and peptide-plane flips in protein structures ISSN 1399-0047 Wouter G. Touw,a* Robbie P. Joostenb and Gert Vrienda* aCentre for Molecular and Biomolecular Informatics, Radboud University Medical Center, Geert Grooteplein-Zuid 26-28, 6525 GA Nijmegen, The Netherlands, and bDepartment of Biochemistry, Netherlands Cancer Institute, Plesmanlaan 121, 1066 CX Amsterdam, The Netherlands. *Correspondence e-mail: [email protected], Received 4 February 2015 [email protected] Accepted 27 April 2015 A coordinate-based method is presented to detect peptide bonds that need Edited by G. J. Kleywegt, EMBL–EBI, Hinxton, correction either by a peptide-plane flip or by a trans–cis inversion of the peptide England bond. When applied to the whole Protein Data Bank, the method predicts 4617 trans–cis flips and many thousands of hitherto unknown peptide-plane flips. Keywords: peptide conformation; cis peptide A few examples are highlighted for which a correction of the peptide-plane bond; structure validation; structure correction. geometry leads to a correction of the understanding of the structure–function relation. All data, including 1088 manually validated cases, are freely available and the method is available from a web server, a web-service interface and through WHAT_CHECK. 1. Introduction Peptide bonds connect adjacent amino acids in proteins. The partial double-bond character of the peptide bond restricts its torsion. The dihedral angle ! (CiÀ1—CiÀ1—Ni—Ci ) typically has values around 180 (trans)or0 (cis), although exceptions are possible (Berkholz et al., 2012). The Ci–1—Ci distance is around 3.81 A˚ in the trans conformation and around 2.94 A˚ in the cis conformation. -
Functional and Physical Interaction Between Yeast Hsp90 and Hsp70
Functional and physical interaction between yeast PNAS PLUS Hsp90 and Hsp70 Andrea N. Kravatsa, Joel R. Hoskinsa, Michael Reidyb, Jill L. Johnsonc, Shannon M. Doylea, Olivier Genesta,1, Daniel C. Masisonb, and Sue Wicknera,2 aLaboratory of Molecular Biology, National Cancer Institute, National Institutes of Health, Bethesda, MD 20892; bLaboratory of Biochemistry and Genetics, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, MD 20892; and cDepartment of Biological Sciences, University of Idaho, Moscow, ID 83844 Contributed by Sue Wickner, January 25, 2018 (sent for review November 17, 2017; reviewed by Daniel N. A. Bolon and Jeffrey L. Brodsky) Heat shock protein 90 (Hsp90) is a highly conserved ATP-dependent changes in response to ATP binding, hydrolysis, and ADP release molecular chaperone that is essential in eukaryotes. It is required for (1,3,6,14–16). In the absence of ATP, the Hsp90 dimer acquires the activation and stabilization of more than 200 client proteins, an open, V-shaped structure such that the protomers interact via including many kinases and steroid hormone receptors involved in the C-terminal dimerization domain (16). When ATP is bound, the cell-signaling pathways. Hsp90 chaperone activity requires collabo- protein takes on a closed conformation with the two N-domains of ration with a subset of the many Hsp90 cochaperones, including the the dimer interacting and a portion of the N-domain, the “lid,” Hsp70 chaperone. In higher eukaryotes, the collaboration between closing over the nucleotide in each protomer (16, 17). Additional Hsp90 and Hsp70 is indirect and involves Hop, a cochaperone that conformational changes occur upon ATP hydrolysis, resulting in a interacts with both Hsp90 and Hsp70. -
Supplementary Table 1. Genes Mapped in Core Cancer
Supplementary Table 1. Genes mapped in core cancer pathways annotated by KEGG (Kyoto Encyclopedia of Genes and Genomes), MIPS (The Munich Information Center for Protein Sequences), BIOCARTA, PID (Pathway Interaction Database), and REACTOME databases. EP300,MAP2K1,APC,MAP3K7,ZFYVE9,TGFB2,TGFB1,CREBBP,MAP BIOCARTA TGFB PATHWAY K3,TAB1,SMAD3,SMAD4,TGFBR2,SKIL,TGFBR1,SMAD7,TGFB3,CD H1,SMAD2 TFDP1,NOG,TNF,GDF7,INHBB,INHBC,COMP,INHBA,THBS4,RHOA,C REBBP,ROCK1,ID1,ID2,RPS6KB1,RPS6KB2,CUL1,LOC728622,ID4,SM AD3,MAPK3,RBL2,SMAD4,RBL1,NODAL,SMAD1,MYC,SMAD2,MAP K1,SMURF2,SMURF1,EP300,BMP8A,GDF5,SKP1,CHRD,TGFB2,TGFB 1,IFNG,CDKN2B,PPP2CB,PPP2CA,PPP2R1A,ID3,SMAD5,RBX1,FST,PI KEGG TGF BETA SIGNALING PATHWAY TX2,PPP2R1B,TGFBR2,AMHR2,LTBP1,LEFTY1,AMH,TGFBR1,SMAD 9,LEFTY2,SMAD7,ROCK2,TGFB3,SMAD6,BMPR2,GDF6,BMPR1A,B MPR1B,ACVRL1,ACVR2B,ACVR2A,ACVR1,BMP4,E2F5,BMP2,ACVR 1C,E2F4,SP1,BMP7,BMP8B,ZFYVE9,BMP5,BMP6,ZFYVE16,THBS3,IN HBE,THBS2,DCN,THBS1, JUN,LRP5,LRP6,PPP3R2,SFRP2,SFRP1,PPP3CC,VANGL1,PPP3R1,FZD 1,FZD4,APC2,FZD6,FZD7,SENP2,FZD8,LEF1,CREBBP,FZD9,PRICKLE 1,CTBP2,ROCK1,CTBP1,WNT9B,WNT9A,CTNNBIP1,DAAM2,TBL1X R1,MMP7,CER1,MAP3K7,VANGL2,WNT2B,WNT11,WNT10B,DKK2,L OC728622,CHP2,AXIN1,AXIN2,DKK4,NFAT5,MYC,SOX17,CSNK2A1, CSNK2A2,NFATC4,CSNK1A1,NFATC3,CSNK1E,BTRC,PRKX,SKP1,FB XW11,RBX1,CSNK2B,SIAH1,TBL1Y,WNT5B,CCND1,CAMK2A,NLK, CAMK2B,CAMK2D,CAMK2G,PRKACA,APC,PRKACB,PRKACG,WNT 16,DAAM1,CHD8,FRAT1,CACYBP,CCND2,NFATC2,NFATC1,CCND3,P KEGG WNT SIGNALING PATHWAY LCB2,PLCB1,CSNK1A1L,PRKCB,PLCB3,PRKCA,PLCB4,WIF1,PRICK LE2,PORCN,RHOA,FRAT2,PRKCG,MAPK9,MAPK10,WNT3A,DVL3,R -
The Activity and Stability of P56lck and TCR Signaling Do Not Depend on the Co-Chaperone Cdc37
International Journal of Molecular Sciences Article The Activity and Stability of p56Lck and TCR Signaling Do Not Depend on the Co-Chaperone Cdc37 Sarah Kowallik 1,2, Andreas Kritikos 1,2, Matthias Kästle 1,2, Christoph Thurm 1,2, Burkhart Schraven 1,2 and Luca Simeoni 1,2,* 1 Institute of Molecular and Clinical Immunology, Otto-von-Guericke University, 39120 Magdeburg, Germany; [email protected] (S.K.); [email protected] (A.K.); [email protected] (M.K.); [email protected] (C.T.); [email protected] (B.S.) 2 Health Campus Immunology, Infectiology and Inflammation (GC-I3), Medical Faculty, Otto-von Guericke University, 39120 Magdeburg, Germany * Correspondence: [email protected]; Tel.: +49-391-67-17894 Abstract: Lymphocyte-specific protein tyrosine kinase (Lck) is a pivotal tyrosine kinase involved in T cell receptor (TCR) signaling. Because of its importance, the activity of Lck is regulated at different levels including phosphorylation of tyrosine residues, protein–protein interactions, and localization. It has been proposed that the co-chaperone Cdc37, which assists the chaperone heat shock protein 90 (Hsp90) in the folding of client proteins, is also involved in the regulation of the activity/stability of Lck. Nevertheless, the available experimental data do not clearly support this conclusion. Thus, we assessed whether or not Cdc37 regulates Lck. We performed experiments in which the expression of Cdc37 was either augmented or suppressed in Jurkat T cells. The results of our experiments indicated that neither the overexpression nor the suppression of Cdc37 affected Lck stability and activity.