The Role of ANGIOGENIN, Or Lack Thereof, in the Generation of Stress-Induced Trna Halves and of Smaller Trna Fragments That Enter Argonaute Complexes
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Ribonuclease A: Disulfide Bonds, Conformational Stability, and Cytotoxicity
Ribonuclease A: Disulfide Bonds, Conformational Stability, and Cytotoxicity by Tony A. Klink A dissertation submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy (Biochemistry) at the UNIVERSITY OF WISCONSIN-MADISON 2()()() r OJ A dissertation entitled Ribonuclease A: Disulfide Bonds, Conformational Stability and Cytotoxicity submitted to the Graduate School of the University of Wisconsin-Madison in partial fulfillment of the requirements for the degree of Doctor of Philosophy by Tony Anthony Klink Date of Final Oral Examination: August 4, 2000 Month & Year Degree to be awarded: December May August 2000 • * * * * * * • * * • * • • • • • * • • • * • • • • • • • • • • • • • * * • * • * * * • * • * • • • • • • * App oval Signature. f Dissertation Readers: Signature, Dean of Graduate School ---..., v.C~vJ,1A. 5. lJ,~k;at 1 Abstract Disulfide bonds between the side chains of cysteine residues are the only common cross links in proteins. Bovine pancreatic ribonuclease A (RNase A) is a 124-residue enzyme that contains four interweaving disulfide bonds (Cys26-Cys84, Cys40-Cys95, Cys58-CysllO, and Cys65-Cys72) and catalyzes the cleavage of RNA. The contribution of each disulfide bond to the confonnational stability and catalytic activity of RNase A was detennined using variants in which each cystine was replaced independently with a pair of alanine residues. Of the four disulfide bonds, the Cys40-Cys95 and Cys65-Cys72 cross-links are the least important to confonnational stability. Removing these disulfide bonds leads to RNase A variants that have Tm values below that of the wild-type enzyme but above physiological temperature. Unlike wild-type RNase A. G88R RNase A is toxic to cancer cells. To investigate the relationship between conformational stability and cytotoxicity, the C40AlC95A and C65A1C72A variants were made in the G88R background. -
Crystal Structure of the Primary Pirna Biogenesis Factor Zucchini Reveals Similarity to the Bacterial PLD Endonuclease Nuc
Downloaded from rnajournal.cshlp.org on September 26, 2021 - Published by Cold Spring Harbor Laboratory Press LETTER TO THE EDITOR Crystal structure of the primary piRNA biogenesis factor Zucchini reveals similarity to the bacterial PLD endonuclease Nuc FRANKA VOIGT,1 MICHAEL REUTER,2,3 ANISA KASARUHO,2,3 EIKE C. SCHULZ,1 RAMESH S. PILLAI,2,3,4 and ORSOLYA BARABAS1,4 1European Molecular Biology Laboratory, 69117 Heidelberg, Germany 2European Molecular Biology Laboratory, 38042 Grenoble, France 3CNRS-UJF-EMBL International Unit (UMI 3265) for Virus Host Cell Interactions (UVHCI), 38042 Grenoble, France ABSTRACT Piwi-interacting RNAs (piRNAs) are a gonad-specific class of small RNAs that associate with the Piwi clade of Argonaute proteins and play a key role in transposon silencing in animals. Since biogenesis of piRNAs is independent of the double- stranded RNA-processing enzyme Dicer, an alternative nuclease that can process single-stranded RNA transcripts has been long sought. A Phospholipase D-like protein, Zucchini, that is essential for piRNA processing has been proposed to be a nuclease acting in piRNA biogenesis. Here we describe the crystal structure of Zucchini from Drosophila melanogaster and show that it is very similar to the bacterial endonuclease, Nuc. The structure also reveals that homodimerization induces major conforma- tional changes assembling the active site. The active site is situated on the dimer interface at the bottom of a narrow groove that can likely accommodate single-stranded nucleic acid substrates. Furthermore, biophysical analysis identifies protein segments essential for dimerization and provides insights into regulation of Zucchini’s activity. Keywords: Zucchini; piRNA; Piwi; nuclease; phospholipase; PLD6; MitoPLD INTRODUCTION stranded (ss) RNAs (Brennecke et al. -
Determination of Pk, Values of the Histidine Side
Protein Science (1997), 6:1937-1944. Cambridge University Press. Printed in the USA Copyright 0 1997 The Protein Society Determination of pK, values of the histidine side chains of phosphatidylinositol-specific phospholipase C from Bacillus cereus by NMR spectroscopy and site-directed mutagenesis TUN LIU, MARGRET RYAN, FREDERICK W. DAHLQUIST, AND 0. HAYES GRIFFITH Institute of Molecular Biology and Department of Chemistry, University of Oregon, Eugene, Oregon 97403 (RECEIVEDDecember 4, 1996: ACCEPTEDMay 19, 1997) Abstract Two active site histidine residues have been implicated in the catalysis of phosphatidylinositol-specific phospholipase C (PI-PLC). In this report, we present the first study of the pK,, values of histidines of a PI-PLC. All six histidines of Bacillus cereus PI-PLC were studied by 2D NMR spectroscopy and site-directed mutagenesis. The protein was selec- tively labeled with '3C"-histidine. A series of 'H-I3C HSQC NMR spectra were acquired over a pH range of 4.0-9.0. Five of the six histidines have been individually substituted with alanine to aid the resonance assignments in the NMR spectra. Overall, the remaining histidines in the mutants show little chemical shift changes in the 'H-"C HSQC spectra, indicating that the alanine substitution has no effect on the tertiary structure of the protein. H32A and H82A mutants are inactive enzymes, while H92A and H61A are fully active, and H81A retains about 15% of the wild-type activity. The active site histidines, His32 and His82, display pK,, values of 7.6 and 6.9, respectively. His92 and His227 exhibit pK, values of 5.4 and 6.9. -
The Role and Mechanisms of Action of Micrornas in Cancer Drug Resistance Wengong Si1,2,3, Jiaying Shen4, Huilin Zheng1,5 and Weimin Fan1,6*
Si et al. Clinical Epigenetics (2019) 11:25 https://doi.org/10.1186/s13148-018-0587-8 REVIEW Open Access The role and mechanisms of action of microRNAs in cancer drug resistance Wengong Si1,2,3, Jiaying Shen4, Huilin Zheng1,5 and Weimin Fan1,6* Abstract MicroRNAs (miRNAs) are small non-coding RNAs with a length of about 19–25 nt, which can regulate various target genes and are thus involved in the regulation of a variety of biological and pathological processes, including the formation and development of cancer. Drug resistance in cancer chemotherapy is one of the main obstacles to curing this malignant disease. Statistical data indicate that over 90% of the mortality of patients with cancer is related to drug resistance. Drug resistance of cancer chemotherapy can be caused by many mechanisms, such as decreased antitumor drug uptake, modified drug targets, altered cell cycle checkpoints, or increased DNA damage repair, among others. In recent years, many studies have shown that miRNAs are involved in the drug resistance of tumor cells by targeting drug-resistance-related genes or influencing genes related to cell proliferation, cell cycle, and apoptosis. A single miRNA often targets a number of genes, and its regulatory effect is tissue-specific. In this review, we emphasize the miRNAs that are involved in the regulation of drug resistance among different cancers and probe the mechanisms of the deregulated expression of miRNAs. The molecular targets of miRNAs and their underlying signaling pathways are also explored comprehensively. A holistic understanding of the functions of miRNAs in drug resistance will help us develop better strategies to regulate them efficiently and will finally pave the way toward better translation of miRNAs into clinics, developing them into a promising approach in cancer therapy. -
Families and the Structural Relatedness Among Globular Proteins
Protein Science (1993), 2, 884-899. Cambridge University Press. Printed in the USA. Copyright 0 1993 The Protein Society -~~ ~~~~ ~ Families and the structural relatedness among globular proteins DAVID P. YEE AND KEN A. DILL Department of Pharmaceutical Chemistry, University of California, San Francisco, California94143-1204 (RECEIVEDJanuary 6, 1993; REVISEDMANUSCRIPT RECEIVED February 18, 1993) Abstract Protein structures come in families. Are families “closely knit” or “loosely knit” entities? We describe a mea- sure of relatedness among polymer conformations. Based on weighted distance maps, this measure differs from existing measures mainly in two respects: (1) it is computationally fast, and (2) it can compare any two proteins, regardless of their relative chain lengths or degree of similarity. It does not require finding relative alignments. The measure is used here to determine the dissimilarities between all 12,403 possible pairs of 158 diverse protein structures from the Brookhaven Protein Data Bank (PDB). Combined with minimal spanning trees and hier- archical clustering methods,this measure is used to define structural families. It is also useful for rapidly searching a dataset of protein structures for specific substructural motifs.By using an analogy to distributions of Euclid- ean distances, we find that protein families are not tightly knit entities. Keywords: protein family; relatedness; structural comparison; substructure searches Pioneering work over the past 20 years has shown that positions after superposition. RMS is a useful distance proteins fall into families of related structures (Levitt & metric for comparingstructures that arenearly identical: Chothia, 1976; Richardson, 1981; Richardson & Richard- for example, when refining or comparing structures ob- son, 1989; Chothia & Finkelstein, 1990). -
Regulatory Micrornas in Brown, Brite and White Adipose Tissue
cells Review Regulatory microRNAs in Brown, Brite and White Adipose Tissue Seley Gharanei 1,2, Kiran Shabir 3 , James E. Brown 3,4, Martin O. Weickert 1,2,5 , 1,2 1,2,3, 1,2,3, , Thomas M. Barber , Ioannis Kyrou y and Harpal S. Randeva * y 1 Warwickshire Institute for the Study of Diabetes, Endocrinology and Metabolism (WISDEM), University Hospitals Coventry and Warwickshire NHS Trust, Coventry CV2 2DX, UK; [email protected] (S.G.); [email protected] (M.O.W.); [email protected] (T.M.B.); [email protected] (I.K.) 2 Warwick Medical School, University of Warwick, Coventry CV4 7AL, UK 3 Aston Medical Research Institute, Aston Medical School, College of Health and Life Sciences, Aston University, Birmingham B4 7ET, UK; [email protected] (K.S.); [email protected] (J.E.B.) 4 School of Biosciences, College of Health and Life Sciences, Aston University, Birmingham B4 7ET, UK 5 Centre of Applied Biological & Exercise Sciences, Faculty of Health & Life Sciences, Coventry University, Coventry CV1 5FB, UK * Correspondence: [email protected] Joint senior authors; contributed equally to the manuscript. y Received: 30 September 2020; Accepted: 13 November 2020; Published: 16 November 2020 Abstract: MicroRNAs (miRNAs) constitute a class of short noncoding RNAs which regulate gene expression by targeting messenger RNA, inducing translational repression and messenger RNA degradation. This regulation of gene expression by miRNAs in adipose tissue (AT) can impact on the regulation of metabolism and energy homeostasis, particularly considering the different types of adipocytes which exist in mammals, i.e., white adipocytes (white AT; WAT), brown adipocytes (brown AT; BAT), and inducible brown adipocytes in WAT (beige or brite or brown-in-white adipocytes). -
140503 IPF Signatures Supplement Withfigs Thorax
Supplementary material for Heterogeneous gene expression signatures correspond to distinct lung pathologies and biomarkers of disease severity in idiopathic pulmonary fibrosis Daryle J. DePianto1*, Sanjay Chandriani1⌘*, Alexander R. Abbas1, Guiquan Jia1, Elsa N. N’Diaye1, Patrick Caplazi1, Steven E. Kauder1, Sabyasachi Biswas1, Satyajit K. Karnik1#, Connie Ha1, Zora Modrusan1, Michael A. Matthay2, Jasleen Kukreja3, Harold R. Collard2, Jackson G. Egen1, Paul J. Wolters2§, and Joseph R. Arron1§ 1Genentech Research and Early Development, South San Francisco, CA 2Department of Medicine, University of California, San Francisco, CA 3Department of Surgery, University of California, San Francisco, CA ⌘Current address: Novartis Institutes for Biomedical Research, Emeryville, CA. #Current address: Gilead Sciences, Foster City, CA. *DJD and SC contributed equally to this manuscript §PJW and JRA co-directed this project Address correspondence to Paul J. Wolters, MD University of California, San Francisco Department of Medicine Box 0111 San Francisco, CA 94143-0111 [email protected] or Joseph R. Arron, MD, PhD Genentech, Inc. MS 231C 1 DNA Way South San Francisco, CA 94080 [email protected] 1 METHODS Human lung tissue samples Tissues were obtained at UCSF from clinical samples from IPF patients at the time of biopsy or lung transplantation. All patients were seen at UCSF and the diagnosis of IPF was established through multidisciplinary review of clinical, radiological, and pathological data according to criteria established by the consensus classification of the American Thoracic Society (ATS) and European Respiratory Society (ERS), Japanese Respiratory Society (JRS), and the Latin American Thoracic Association (ALAT) (ref. 5 in main text). Non-diseased normal lung tissues were procured from lungs not used by the Northern California Transplant Donor Network. -
Structures, Functions, and Mechanisms of Filament Forming Enzymes: a Renaissance of Enzyme Filamentation
Structures, Functions, and Mechanisms of Filament Forming Enzymes: A Renaissance of Enzyme Filamentation A Review By Chad K. Park & Nancy C. Horton Department of Molecular and Cellular Biology University of Arizona Tucson, AZ 85721 N. C. Horton ([email protected], ORCID: 0000-0003-2710-8284) C. K. Park ([email protected], ORCID: 0000-0003-1089-9091) Keywords: Enzyme, Regulation, DNA binding, Nuclease, Run-On Oligomerization, self-association 1 Abstract Filament formation by non-cytoskeletal enzymes has been known for decades, yet only relatively recently has its wide-spread role in enzyme regulation and biology come to be appreciated. This comprehensive review summarizes what is known for each enzyme confirmed to form filamentous structures in vitro, and for the many that are known only to form large self-assemblies within cells. For some enzymes, studies describing both the in vitro filamentous structures and cellular self-assembly formation are also known and described. Special attention is paid to the detailed structures of each type of enzyme filament, as well as the roles the structures play in enzyme regulation and in biology. Where it is known or hypothesized, the advantages conferred by enzyme filamentation are reviewed. Finally, the similarities, differences, and comparison to the SgrAI system are also highlighted. 2 Contents INTRODUCTION…………………………………………………………..4 STRUCTURALLY CHARACTERIZED ENZYME FILAMENTS…….5 Acetyl CoA Carboxylase (ACC)……………………………………………………………………5 Phosphofructokinase (PFK)……………………………………………………………………….6 -
Purification and Characterization of Cutinase from Venturia Inaequalis
Physiology and Biochemistry Purification and Characterization of Cutinase from Venturia inaequalis Wolfram K611er and Diana M. Parker Assistant professor and research assistant, Department of Plant Pathology, Cornell University, New York State Agricultural Experiment Station, Geneva 14456. We thank Professor A. L. Jones for the isolates of Venturia inaequalis, Mr. Robert W. Ennis, Jr. for his help in cutin preparation, and Comstock Foods, Alton, NY, for the apple peels. Accepted for publication 16 August 1988. ABSTRACT K61ler, W., and Parker, D. M. 1989. Purification and characterization of cutinase from Venturia inaequalis. Phytopathology 79:278-283. Venturia inaequalis was grown in a culture medium containing purified cutinase from V. inaequalisis optimal at a pH of 6 and thus different from apple cutin as the sole carbon source. After 8 wk of growth an esterase was the alkaline pH-optimum reported for other purified cutinases. The isolated from the culture fluid and purified to apparent homogeneity. The hydrolysis of the model esterp-nitrophenyl butyrate was less affected by the enzyme hydrolyzed tritiated cutin and thus was identified as cutinase. The pH. The esterase activity was strongly inhibited by diisopropyl purified cutinase is a glycoprotein with a molecular mass of 21-23 kg/ mol, fluorophosphate, and the phosphorylation of one serine was sufficient for as determined by various procedures. Remarkable structural features are a complete inhibition. Thus, cutinase from V. inaequalis belongs to the class high content of glycine, a high content of nonpolar amino acids, two of serine hydrolases, a characterisitic shared with other fungal cutinases. disulfide bridges, and a high degree of hydrophobicity. -
Identification of Genes That Affect Acetylcholine
IDENTIFICATION OF GENES THAT AFFECT ACETYLCHOLINE SIGNALING AT THE C. ELEGANS NEUROMUSCULAR JUNCTION by Shrey Patel A thesis submitted to the Faculty of the University of Delaware in partial fulfillment of the requirements for the degree of Honors Bachelor of Arts in Biological Sciences with Distinction Spring 2018 © 2018 Shrey Patel All Rights Reserved IDENTIFICATION OF GENES THAT AFFECT ACETYLCHOLINE SIGNALING AT THE C. ELEGANS NEUROMUSCULAR JUNCTION by Shrey Patel Approved: __________________________________________________________ Jessica Tanis, Ph.D. Professor in charge of thesis on behalf of the Advisory Committee Approved: __________________________________________________________ Donna Woulfe, Ph.D. Committee member from the Department of Biological Sciences Approved: __________________________________________________________ Carlton Cooper, Ph.D. Committee member from the Board of Senior Thesis Readers Approved: __________________________________________________________ Paul Laux, Ph.D. Director, University Honors Program ACKNOWLEDGMENTS I would like to first thank Dr. Jessica Tanis for giving me the opportunity to conduct research towards a senior thesis. Her guidance, support, and encouragement throughout the process have been invaluable. Her mentorship has changed my views on research, helped me grow professionally and personally, and opened doors previously unimagined. I could not be more grateful. I would not be where I am without the assistance of the Tanis Lab team: Kirsten Kervin, Elaine Miller, Andy Lam, Michael Clupper, Amanda Addiego, Denis Touroutine, and Alyssa Reed. Thank you for help with laboratory techniques, input on my presentations, and for being great team members. I would like to specially thank Amanda, Kirsten, and Elaine for their contributions to this project, which has made significant progress in just one year. I could not have wished to be in another lab, for the enriching, collaborative, and friendly environment cannot be replicated. -
Supplemental Information For
Supplemental Information for: Gene Expression Profiling of Pediatric Acute Myelogenous Leukemia Mary E. Ross, Rami Mahfouz, Mihaela Onciu, Hsi-Che Liu, Xiaodong Zhou, Guangchun Song, Sheila A. Shurtleff, Stanley Pounds, Cheng Cheng, Jing Ma, Raul C. Ribeiro, Jeffrey E. Rubnitz, Kevin Girtman, W. Kent Williams, Susana C. Raimondi, Der-Cherng Liang, Lee-Yung Shih, Ching-Hon Pui & James R. Downing Table of Contents Section I. Patient Datasets Table S1. Diagnostic AML characteristics Table S2. Cytogenetics Summary Table S3. Adult diagnostic AML characteristics Table S4. Additional T-ALL characteristics Section II. Methods Table S5. Summary of filtered probe sets Table S6. MLL-PTD primers Additional Statistical Methods Section III. Genetic Subtype Discriminating Genes Figure S1. Unsupervised Heirarchical clustering Figure S2. Heirarchical clustering with class discriminating genes Table S7. Top 100 probe sets selected by SAM for t(8;21)[AML1-ETO] Table S8. Top 100 probe sets selected by SAM for t(15;17) [PML-RARα] Table S9. Top 63 probe sets selected by SAM for inv(16) [CBFβ-MYH11] Table S10. Top 100 probe sets selected by SAM for MLL chimeric fusion genes Table S11. Top 100 probe sets selected by SAM for FAB-M7 Table S12. Top 100 probe sets selected by SAM for CBF leukemias (whole dataset) Section IV. MLL in combined ALL and AML dataset Table S13. Top 100 probe sets selected by SAM for MLL chimeric fusions irrespective of blast lineage (whole dataset) Table S14. Class discriminating genes for cases with an MLL chimeric fusion gene that show uniform high expression, irrespective of blast lineage Section V. -
Microrna Co-Expression Networks Exhibit Increased Complexity in Pancreatic Ductal Compared to Vater’S Papilla Adenocarcinoma
www.impactjournals.com/oncotarget/ Oncotarget, 2017, Vol. 8, (No. 62), pp: 105320-105339 Research Paper MicroRNA co-expression networks exhibit increased complexity in pancreatic ductal compared to Vater’s papilla adenocarcinoma Tommaso Mazza1, Massimiliano Copetti2, Daniele Capocefalo1,8, Caterina Fusilli1, Tommaso Biagini1, Massimo Carella3, Antonio De Bonis4, Nicola Mastrodonato4, Ada Piepoli5, Valerio Pazienza5, Evaristo Maiello6, Fabio Francesco di Mola7, Pierluigi di Sebastiano7, Angelo Andriulli5 and Francesca Tavano5 1Unit of Bioinformatics, Research Hospital, San Giovanni Rotondo 71013, Italy 2Unit of Biostatistics, Research Hospital, San Giovanni Rotondo 71013, Italy 3Medical Genetics Unit, Research Hospital, San Giovanni Rotondo 71013, Italy 4Department of Surgery, Research Hospital, San Giovanni Rotondo 71013, Italy 5Division of Gastroenterology and Research Laboratory, San Giovanni Rotondo 71013, Italy 6Department of Oncology IRCCS “Casa Sollievo della Sofferenza”, Research Hospital, San Giovanni Rotondo 71013, Italy 7Division of Surgical Oncology “SS Annunziata” Hospital, Chieti 66100, Italy 8Department of Cellular Biotechnologies and Haematology, Sapienza University of Rome, Rome 00161, Italy Correspondence to: Francesca Tavano, email: [email protected] Keywords: microRNA; pancrearic ductal adenocarcinoma; ampullary carcinoma Received: December 06, 2016 Accepted: July 11, 2017 Published: October 31, 2017 Copyright: Mazza et al. This is an open-access article distributed under the terms of the Creative Commons Attribution