Ribonuclease Inhibitors in Malus X Domestica (Common Apple): Isolation and Partial Characterization
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Molecular Markers of Serine Protease Evolution
The EMBO Journal Vol. 20 No. 12 pp. 3036±3045, 2001 Molecular markers of serine protease evolution Maxwell M.Krem and Enrico Di Cera1 ment and specialization of the catalytic architecture should correspond to signi®cant evolutionary transitions in the Department of Biochemistry and Molecular Biophysics, Washington University School of Medicine, Box 8231, St Louis, history of protease clans. Evolutionary markers encoun- MO 63110-1093, USA tered in the sequences contributing to the catalytic apparatus would thus give an account of the history of 1Corresponding author e-mail: [email protected] an enzyme family or clan and provide for comparative analysis with other families and clans. Therefore, the use The evolutionary history of serine proteases can be of sequence markers associated with active site structure accounted for by highly conserved amino acids that generates a model for protease evolution with broad form crucial structural and chemical elements of applicability and potential for extension to other classes of the catalytic apparatus. These residues display non- enzymes. random dichotomies in either amino acid choice or The ®rst report of a sequence marker associated with serine codon usage and serve as discrete markers for active site chemistry was the observation that both AGY tracking changes in the active site environment and and TCN codons were used to encode active site serines in supporting structures. These markers categorize a variety of enzyme families (Brenner, 1988). Since serine proteases of the chymotrypsin-like, subtilisin- AGY®TCN interconversion is an uncommon event, it like and a/b-hydrolase fold clans according to phylo- was reasoned that enzymes within the same family genetic lineages, and indicate the relative ages and utilizing different active site codons belonged to different order of appearance of those lineages. -
Deamidation of Human Proteins
Deamidation of human proteins N. E. Robinson*† and A. B. Robinson‡ *Division of Chemistry and Chemical Engineering, California Institute of Technology, Pasadena, CA 91125; and ‡Oregon Institute of Science and Medicine, Cave Junction, OR 97523 Communicated by Frederick Seitz, The Rockefeller University, New York, NY, August 31, 2001 (received for review May 8, 2001) Deamidation of asparaginyl and glutaminyl residues causes time- 3D structure is known (23). This method is more than 95% dependent changes in charge and conformation of peptides and reliable in predicting relative deamidation rates of Asn residues proteins. Quantitative and experimentally verified predictive cal- within a single protein and is also useful for the prediction of culations of the deamidation rates of 1,371 asparaginyl residues in absolute deamidation rates. a representative collection of 126 human proteins have been It is, therefore, now possible to compute the expected deami- performed. These rates suggest that deamidation is a biologically dation rate of any protein for which the primary and 3D relevant phenomenon in a remarkably large percentage of human structures are known, except for very long-lived proteins. These proteins. proteins require measurement of the 400 Gln pentapeptide rates. in vivo deamidation ͉ asparaginyl residues Materials and Methods Calculation Method. The Brookhaven Protein Data Bank (PDB) eamidation of asparaginyl (Asn) and glutaminyl (Gln) was searched to select 126 human proteins of general biochem- Dresidues to produce aspartyl (Asp) and glutamyl (Glu) ical interest and of known 3D structure without bias toward any residues causes structurally and biologically important alter- known data about their deamidation, except for 13 proteins (as ations in peptide and protein structures. -
Biased Signaling of G Protein Coupled Receptors (Gpcrs): Molecular Determinants of GPCR/Transducer Selectivity and Therapeutic Potential
Pharmacology & Therapeutics 200 (2019) 148–178 Contents lists available at ScienceDirect Pharmacology & Therapeutics journal homepage: www.elsevier.com/locate/pharmthera Biased signaling of G protein coupled receptors (GPCRs): Molecular determinants of GPCR/transducer selectivity and therapeutic potential Mohammad Seyedabadi a,b, Mohammad Hossein Ghahremani c, Paul R. Albert d,⁎ a Department of Pharmacology, School of Medicine, Bushehr University of Medical Sciences, Iran b Education Development Center, Bushehr University of Medical Sciences, Iran c Department of Toxicology–Pharmacology, School of Pharmacy, Tehran University of Medical Sciences, Iran d Ottawa Hospital Research Institute, Neuroscience, University of Ottawa, Canada article info abstract Available online 8 May 2019 G protein coupled receptors (GPCRs) convey signals across membranes via interaction with G proteins. Origi- nally, an individual GPCR was thought to signal through one G protein family, comprising cognate G proteins Keywords: that mediate canonical receptor signaling. However, several deviations from canonical signaling pathways for GPCR GPCRs have been described. It is now clear that GPCRs can engage with multiple G proteins and the line between Gprotein cognate and non-cognate signaling is increasingly blurred. Furthermore, GPCRs couple to non-G protein trans- β-arrestin ducers, including β-arrestins or other scaffold proteins, to initiate additional signaling cascades. Selectivity Biased Signaling Receptor/transducer selectivity is dictated by agonist-induced receptor conformations as well as by collateral fac- Therapeutic Potential tors. In particular, ligands stabilize distinct receptor conformations to preferentially activate certain pathways, designated ‘biased signaling’. In this regard, receptor sequence alignment and mutagenesis have helped to iden- tify key receptor domains for receptor/transducer specificity. -
Bioinformatic Protein Family Characterisation
Linköping studies in science and technology Dissertation No. 1343 Bioinformatic protein family characterisation Joel Hedlund Department of Physics, Chemistry and Biology Linköping, 2010 1 The front cover shows a tree diagram of the relations between proteins in the MDR superfamily (papers III–IV), excluding non-eukaryotic sequences as well as four fifths of the remainder for clarity. In total, 518 out of the 16667 known members are shown, and 1.5 cm in the dendrogram represents 10 % sequence differences. The bottom bar diagram shows conservation in these sequences using the CScore algorithm from the MSAView program (papers II and V), with infrequent insertions omitted for brevity. This example illustrates the size and complexity of the MDR superfamily, and it also serves as an illuminating example of the intricacies of the field of bioinformatics as a whole, where, after scaling down and removing layer after layer of complexity, there is still always ample size and complexity left to go around. The back cover shows a schematic view of the three-dimensional structure of human class III alcohol dehydrogenase, indicating the positions of the zinc ion and NAD cofactors, as well as the Rossmann fold cofactor binding domain (red) and the GroES-like folding core of the catalytic domain (green). This thesis was typeset using LYX. Inkscape was used for figure layout. During the course of research underlying this thesis, Joel Hedlund was enrolled in Forum Scientium, a multidisciplinary doctoral programme at Linköping University, Sweden. Copyright © 2010 Joel Hedlund, unless otherwise noted. All rights reserved. Joel Hedlund Bioinformatic protein family characterisation ISBN: 978-91-7393-297-4 ISSN: 0345-7524 Linköping studies in science and technology, dissertation No. -
Protein Structure and Function from Sequence to Function (I)
BCHS 6229 ProteinProtein StructureStructure andand FunctionFunction Lecture 6 (Oct 27, 2011) From Sequence to Function (I): - Protein Profiling - Case Studies in Structural & Functional Genomics 1 From Sequence to Function in the age of Genomics How to predict functions for 1000s proteins? 1. “Conventional” sequence pattern 2. “Fold similarity - Structural genomics 3. Clustering microarray experiments 4. Data integration 2 From Sequence to Function in the age of Genomics •Genomics is making an increasing contribution to the study of protein structure function. •Sequence and structural comparison can usually give only limited information, however, and comprehensively characterizing the protein function of an uncharacterized protein in a cell or organism will always require additional experimental investigations on the purified proteins in vitro as well as cell biological and mutational studies in vivo. 3 From Sequence to Function in the age of Genomics •Proteomics Understand Proteins, through analyzing populations Structure (motions, packing,folds) Function Evolution Integration of information Structures - Sequences - Microarrays 4 Regulation of flagellar genes in C. jejuni Carrillo CD et al. J Biol Chem (2004) 279(19):20327-38. 5 Time and distance scales in functional genomics Time Process Example System Example Detection Methods Distance Interdisciplinary approaches are essential to determine the functions of gene products. 6 Sequence alignment and comparison General principle of alignments: Two homologous sequences derived from the same ancestral sequence will have at least some identical residues at the corresponding positions in the sequence; if corresponding positions in the sequence are aligned, the degree of matching should be statistically significant compared with that of two randomly chosen unrelated sequences. -
Gbeta Paperv6
bioRxiv preprint doi: https://doi.org/10.1101/415935; this version posted March 13, 2020. The copyright holder for this preprint (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission. 1 An interaction between Gβγ and RNA polymerase II regulates transcription in cardiac 2 fibroblasts 3 4 Shahriar M. Khan†, Ryan D. Martin†, Sarah Gora, Celia Bouazza, Jace Jones-Tabah, Andy 5 Zhang, Sarah MacKinnon, Phan Trieu, Paul B.S. Clarke, Jason C. Tanny*, and Terence E. 6 Hébert* 7 8 1Department of Pharmacology and Therapeutics, McGill University, Montréal, Québec, H3G 9 1Y6, Canada 10 11 12 †These authors contributed equally to the study. 13 14 15 *To whom correspondence should be addressed. 16 Dr. Terence E. Hébert, PhD, 17 Department of Pharmacology and Therapeutics, 18 McGill University, 19 3655 Promenade Sir-William-Osler, Room 1303 20 Montréal, Québec, H3G 1Y6, Canada 21 Tel: (514) 398-1398 22 E-mail: [email protected] 23 24 OR 25 26 Dr. Jason C. Tanny, PhD, 27 Department of Pharmacology and Therapeutics, 28 McGill University, 29 3655 Promenade Sir-William-Osler, Room 1303 30 Montréal, Québec, H3G 1Y6, Canada 31 Tel: (514) 398-3608 32 E-mail: [email protected] 33 1 bioRxiv preprint doi: https://doi.org/10.1101/415935; this version posted March 13, 2020. The copyright holder for this preprint (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission. 34 SUMMARY 35 Gβγ subunits are involved in many different signalling processes in various 36 compartments of the cell, including the nucleus. -
Molecular Characterization, Protein–Protein Interaction Network, and Evolution of Four Glutathione Peroxidases from Tetrahymena Thermophila
antioxidants Article Molecular Characterization, Protein–Protein Interaction Network, and Evolution of Four Glutathione Peroxidases from Tetrahymena thermophila Diana Ferro 1,2, Rigers Bakiu 3 , Sandra Pucciarelli 4, Cristina Miceli 4 , Adriana Vallesi 4 , Paola Irato 5 and Gianfranco Santovito 5,* 1 BIO5 Institute, University of Arizona, Tucson, AZ 85719, USA; [email protected] 2 Department of Pediatrics, Children’s Mercy Hospital and Clinics, Kansas City, MO 64108, USA 3 Department of Aquaculture and Fisheries, Agricultural University of Tirana, 1000 Tiranë, Albania; [email protected] 4 School of Biosciences and Veterinary Medicine, University of Camerino, 62032 Camerino, Italy; [email protected] (S.P.); [email protected] (C.M.); [email protected] (A.V.) 5 Department of Biology, University of Padova, 35131 Padova, Italy; [email protected] * Correspondence: [email protected] Received: 6 September 2020; Accepted: 1 October 2020; Published: 2 October 2020 Abstract: Glutathione peroxidases (GPxs) form a broad family of antioxidant proteins essential for maintaining redox homeostasis in eukaryotic cells. In this study, we used an integrative approach that combines bioinformatics, molecular biology, and biochemistry to investigate the role of GPxs in reactive oxygen species detoxification in the unicellular eukaryotic model organism Tetrahymena thermophila. Both phylogenetic and mechanistic empirical model analyses provided indications about the evolutionary relationships among the GPXs of Tetrahymena and the orthologous enzymes of phylogenetically related species. In-silico gene characterization and text mining were used to predict the functional relationships between GPxs and other physiologically-relevant processes. The GPx genes contain conserved transcriptional regulatory elements in the promoter region, which suggest that transcription is under tight control of specialized signaling pathways. -
A Modular Effector with a Dnase Domain and a Marker for T6SS Substrates
ARTICLE https://doi.org/10.1038/s41467-019-11546-6 OPEN A modular effector with a DNase domain and a marker for T6SS substrates Biswanath Jana1,3, Chaya M. Fridman1,3, Eran Bosis 2 & Dor Salomon 1 Bacteria deliver toxic effectors via type VI secretion systems (T6SSs) to dominate compe- titors, but the identity and function of many effectors remain unknown. Here we identify a Vibrio antibacterial T6SS effector that contains a previously undescribed, widespread DNase 1234567890():,; toxin domain that we call PoNe (Polymorphic Nuclease effector). PoNe belongs to a diverse superfamily of PD-(D/E)xK phosphodiesterases, and is associated with several toxin delivery systems including type V, type VI, and type VII. PoNe toxicity is antagonized by cognate immunity proteins (PoNi) containing DUF1911 and DUF1910 domains. In addition to PoNe, the effector contains a domain of unknown function (FIX domain) that is also found N-terminal to known toxin domains and is genetically and functionally linked to T6SS. FIX sequences can be used to identify T6SS effector candidates with potentially novel toxin domains. Our findings underline the modular nature of bacterial effectors harboring delivery or marker domains, specific to a secretion system, fused to interchangeable toxins. 1 Department of Clinical Microbiology and Immunology, Sackler Faculty of Medicine, Tel Aviv University, 6997801 Tel Aviv, Israel. 2 Department of Biotechnology Engineering, ORT Braude College of Engineering, 2161002 Karmiel, Israel. 3These authors contributed equally: Biswanath Jana, Chaya M. Fridman. Correspondence and requests for materials should be addressed to E.B. (email: [email protected]) or to D.S. (email: [email protected]) NATURE COMMUNICATIONS | (2019) 10:3595 | https://doi.org/10.1038/s41467-019-11546-6 | www.nature.com/naturecommunications 1 ARTICLE NATURE COMMUNICATIONS | https://doi.org/10.1038/s41467-019-11546-6 acteria are social organisms that constantly interact with Vibrio parahaemolyticus 12-297/B does not encode MIX effectors, neighboring cells. -
Protein Symbol Protein Name Rank Metric Score 4F2 4F2 Cell-Surface
Supplementary Table 2 Supplementary Table 2. Ranked list of proteins present in anti-Sema4D treated macrophage conditioned media obtained in the GSEA analysis of the proteomic data. Proteins are listed according to their rank metric score, which is the score used to position the gene in the ranked list of genes of the GSEA. Values are obtained from comparing Sema4D treated RAW conditioned media versus REST, which includes untreated, IgG treated and anti-Sema4D added RAW conditioned media. GSEA analysis was performed under standard conditions in November 2015. Protein Rank metric symbol Protein name score 4F2 4F2 cell-surface antigen heavy chain 2.5000 PLOD3 Procollagen-lysine,2-oxoglutarate 5-dioxygenase 3 1.4815 ELOB Transcription elongation factor B polypeptide 2 1.4350 ARPC5 Actin-related protein 2/3 complex subunit 5 1.2603 OSTF1 teoclast-stimulating factor 1 1.2500 RL5 60S ribomal protein L5 1.2135 SYK Lysine--tRNA ligase 1.2135 RL10A 60S ribomal protein L10a 1.2135 TXNL1 Thioredoxin-like protein 1 1.1716 LIS1 Platelet-activating factor acetylhydrolase IB subunit alpha 1.1067 A4 Amyloid beta A4 protein 1.0911 H2B1M Histone H2B type 1-M 1.0514 UB2V2 Ubiquitin-conjugating enzyme E2 variant 2 1.0381 PDCD5 Programmed cell death protein 5 1.0373 UCHL3 Ubiquitin carboxyl-terminal hydrolase isozyme L3 1.0061 PLEC Plectin 1.0061 ITPA Inine triphphate pyrophphatase 0.9524 IF5A1 Eukaryotic translation initiation factor 5A-1 0.9314 ARP2 Actin-related protein 2 0.8618 HNRPL Heterogeneous nuclear ribonucleoprotein L 0.8576 DNJA3 DnaJ homolog subfamily -
The Role of G Protein-Coupled Receptor Kinases in Cancer Shan Yu1, Litao Sun2, Yufei Jiao3, Leo Tsz on Lee1
Int. J. Biol. Sci. 2018, Vol. 14 189 Ivyspring International Publisher International Journal of Biological Sciences 2018; 14(2): 189-203. doi: 10.7150/ijbs.22896 Review The Role of G Protein-coupled Receptor Kinases in Cancer Shan Yu1, Litao Sun2, Yufei Jiao3, Leo Tsz On Lee1 1. Centre of Reproduction Development and Aging, Faculty of Health Sciences, University of Macau, Taipa, Macau 2. Department of Ultrasound, The Secondary Affiliated Hospital of Harbin Medical University, Harbin, China 3. Department of Pathology, The Secondary Affiliated Hospital of Harbin Medical University, Harbin, China Corresponding author: Leo T.O. Lee, Centre of Reproduction, Development and Aging, Faculty of Health Sciences, University of Macau, Taipa, Macau, China; E-mail: [email protected] © Ivyspring International Publisher. This is an open access article distributed under the terms of the Creative Commons Attribution (CC BY-NC) license (https://creativecommons.org/licenses/by-nc/4.0/). See http://ivyspring.com/terms for full terms and conditions. Received: 2017.09.19; Accepted: 2017.11.17; Published: 2018.02.05 Abstract G protein-coupled receptors (GPCRs) are the largest family of plasma membrane receptors. Emerging evidence demonstrates that signaling through GPCRs affects numerous aspects of cancer biology such as vascular remolding, invasion, and migration. Therefore, development of GPCR-targeted drugs could provide a new therapeutic strategy to treating a variety of cancers. G protein-coupled receptor kinases (GRKs) modulate GPCR signaling by interacting with the ligand-activated GPCR and phosphorylating its intracellular domain. This phosphorylation initiates receptor desensitization and internalization, which inhibits downstream signaling pathways related to cancer progression. GRKs can also regulate non-GPCR substrates, resulting in the modulation of a different set of pathophysiological pathways. -
Functional Evolution Within a Protein Superfamily
This is a preprint of an article accepted for publication in Proteins, © copyright 2005. Functional Evolution within a Protein Superfamily Research Article Zhengping Yi, ‡,# Olga Vitek, @ M. A. Qasim, ‡ Stephen M. Lu, ‡,& Wuyuan Lu, ‡, § Michael Ranjbar, ‡ Jiangtian Li,~ Michael C. Laskowski,% Chris Bailey-Kellogg, ^,* and Michael Laskowski, Jr. ‡ Departments of ‡ Chemistry, @ Statistics, ~ Industrial Engineering, and ^ Computer Sciences, Purdue University, West Lafayette, IN 47907-2038 % Department of Mathematics, University of Maryland Current Addresses: #School of Life Sciences, Mail Code 4501, Arizona State University, University Drive and Mill Avenue, Tempe, AZ 85287. [email protected]; & Ventria Bioscience, 4110 N. Freeway Blvd., Sacramento, CA 95834; § Institute of Human Virology, University of Maryland, Baltimore, MD 21201 * To whom correspondence should be addressed: Chris Bailey-Kellogg, 6211 Sudikoff Laboratory, Department of Computer Science, Dartmouth College, Hanover, NH 03755, USA. Phone: 603-646-3385. Fax: 603-646-1672. Email: [email protected]. Key words: functional evolution, protein superfamilies, functional conservation, sequence hypervariability, specificity, protein-protein interactions Running head: Functional Evolution within a Protein Superfamily Abbreviations used: CHYM bovine chymotrypsin A PPE porcine pancreatic elastase CARL subtilisin Carlsberg HLE human leukocyte elastase SGPA Streptomyces griseus proteinase A SGPB Streptomyces griseus proteinase B SRA Sequence to Reactivity Algorithm OM1 avian ovomucoid -
Nlpc/P60 Domain-Containing Proteins of Mycobacterium Avium Subspecies Paratuberculosis That Differentially Bind and Hydrolyze Peptidoglycan
University of Nebraska - Lincoln DigitalCommons@University of Nebraska - Lincoln U.S. Department of Agriculture: Agricultural Publications from USDA-ARS / UNL Faculty Research Service, Lincoln, Nebraska 2016 NlpC/P60 domain-containing proteins of Mycobacterium avium subspecies paratuberculosis that differentially bind and hydrolyze peptidoglycan J. P. Bannantine USDA-ARS, National Animal Disease Center, [email protected] Cari K. Lingle University of Missouri—Kansas City Philip R. Adam Oklahoma State University, Stillwater Kasra X. Ramyar University of Missouri—Kansas City William J. McWhorter University of Missouri-Kansas City, Kansas City See next page for additional authors Follow this and additional works at: https://digitalcommons.unl.edu/usdaarsfacpub Part of the Agriculture Commons Bannantine, J. P.; Lingle, Cari K.; Adam, Philip R.; Ramyar, Kasra X.; McWhorter, William J.; Picking, William D.; and Geisbrecht, Brian V., "NlpC/P60 domain-containing proteins of Mycobacterium avium subspecies paratuberculosis that differentially bind and hydrolyze peptidoglycan" (2016). Publications from USDA- ARS / UNL Faculty. 2425. https://digitalcommons.unl.edu/usdaarsfacpub/2425 This Article is brought to you for free and open access by the U.S. Department of Agriculture: Agricultural Research Service, Lincoln, Nebraska at DigitalCommons@University of Nebraska - Lincoln. It has been accepted for inclusion in Publications from USDA-ARS / UNL Faculty by an authorized administrator of DigitalCommons@University of Nebraska - Lincoln. Authors J. P. Bannantine, Cari K. Lingle, Philip R. Adam, Kasra X. Ramyar, William J. McWhorter, William D. Picking, and Brian V. Geisbrecht This article is available at DigitalCommons@University of Nebraska - Lincoln: https://digitalcommons.unl.edu/ usdaarsfacpub/2425 NlpC/P60 domain-containing proteins of Mycobacterium avium subspecies paratuberculosis that differentially bind and hydrolyze peptidoglycan John P.