Requirements for Nuclear Localization of the Lsm2-8P Complex and Competition Between Nuclear and Cytoplasmic Lsm Complexes
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Molecular Basis for the Distinct Cellular Functions of the Lsm1-7 and Lsm2-8 Complexes
bioRxiv preprint doi: https://doi.org/10.1101/2020.04.22.055376; this version posted April 23, 2020. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under aCC-BY-NC-ND 4.0 International license. Molecular basis for the distinct cellular functions of the Lsm1-7 and Lsm2-8 complexes Eric J. Montemayor1,2, Johanna M. Virta1, Samuel M. Hayes1, Yuichiro Nomura1, David A. Brow2, Samuel E. Butcher1 1Department of Biochemistry, University of Wisconsin-Madison, Madison, WI, USA. 2Department of Biomolecular Chemistry, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA. Correspondence should be addressed to E.J.M. ([email protected]) and S.E.B. ([email protected]). Abstract Eukaryotes possess eight highly conserved Lsm (like Sm) proteins that assemble into circular, heteroheptameric complexes, bind RNA, and direct a diverse range of biological processes. Among the many essential functions of Lsm proteins, the cytoplasmic Lsm1-7 complex initiates mRNA decay, while the nuclear Lsm2-8 complex acts as a chaperone for U6 spliceosomal RNA. It has been unclear how these complexes perform their distinct functions while differing by only one out of seven subunits. Here, we elucidate the molecular basis for Lsm-RNA recognition and present four high-resolution structures of Lsm complexes bound to RNAs. The structures of Lsm2-8 bound to RNA identify the unique 2′,3′ cyclic phosphate end of U6 as a prime determinant of specificity. In contrast, the Lsm1-7 complex strongly discriminates against cyclic phosphates and tightly binds to oligouridylate tracts with terminal purines. -
Identification of Novel Branch Points Reveals Insights Into RNA Processing
Identification of Novel Branch Points Reveals Insights into RNA Processing by Genevieve Michelle Gould B.A. Molecular and Cell Biology with an emphasis in Genetics, Genomics, and Development University of California, Berkeley (2009) Submitted to the Department of Biology in Partial Fulfillment of the Requirements for the Degree of DOCTOR OF PHILOSOPHY at the MASSACHUSETTS INSTITUTE OF TECHNOLOGY September 2015 © Massachusetts Institute of Technology 2015. All rights reserved. Signature of Author .................................................................................................................................................... Department of Biology August 31, 2015 Certified by .................................................................................................................................................................... Christopher B. Burge Professor of Biology Thesis Supervisor Accepted by.................................................................................................................................................................... Michael Hemann Associate Professor of Biology Co-Chair, Biology Graduate Committee 1 2 Identification of Novel Branch Points Reveals Insights into RNA Processing by Genevieve Michelle Gould Submitted to the Department of Biology on August 31, 2015 in Partial Fulfillment of the Requirements for the Degree of Doctor of Philosophy in Biology Abstract Pre-mRNA splicing is a ubiquitous process necessary for the production of functional eukaryotic mRNAs. The branch -
Genetic and Genomic Analysis of Hyperlipidemia, Obesity and Diabetes Using (C57BL/6J × TALLYHO/Jngj) F2 Mice
University of Tennessee, Knoxville TRACE: Tennessee Research and Creative Exchange Nutrition Publications and Other Works Nutrition 12-19-2010 Genetic and genomic analysis of hyperlipidemia, obesity and diabetes using (C57BL/6J × TALLYHO/JngJ) F2 mice Taryn P. Stewart Marshall University Hyoung Y. Kim University of Tennessee - Knoxville, [email protected] Arnold M. Saxton University of Tennessee - Knoxville, [email protected] Jung H. Kim Marshall University Follow this and additional works at: https://trace.tennessee.edu/utk_nutrpubs Part of the Animal Sciences Commons, and the Nutrition Commons Recommended Citation BMC Genomics 2010, 11:713 doi:10.1186/1471-2164-11-713 This Article is brought to you for free and open access by the Nutrition at TRACE: Tennessee Research and Creative Exchange. It has been accepted for inclusion in Nutrition Publications and Other Works by an authorized administrator of TRACE: Tennessee Research and Creative Exchange. For more information, please contact [email protected]. Stewart et al. BMC Genomics 2010, 11:713 http://www.biomedcentral.com/1471-2164/11/713 RESEARCH ARTICLE Open Access Genetic and genomic analysis of hyperlipidemia, obesity and diabetes using (C57BL/6J × TALLYHO/JngJ) F2 mice Taryn P Stewart1, Hyoung Yon Kim2, Arnold M Saxton3, Jung Han Kim1* Abstract Background: Type 2 diabetes (T2D) is the most common form of diabetes in humans and is closely associated with dyslipidemia and obesity that magnifies the mortality and morbidity related to T2D. The genetic contribution to human T2D and related metabolic disorders is evident, and mostly follows polygenic inheritance. The TALLYHO/ JngJ (TH) mice are a polygenic model for T2D characterized by obesity, hyperinsulinemia, impaired glucose uptake and tolerance, hyperlipidemia, and hyperglycemia. -
Supplementary Materials
Supplementary materials Supplementary Table S1: MGNC compound library Ingredien Molecule Caco- Mol ID MW AlogP OB (%) BBB DL FASA- HL t Name Name 2 shengdi MOL012254 campesterol 400.8 7.63 37.58 1.34 0.98 0.7 0.21 20.2 shengdi MOL000519 coniferin 314.4 3.16 31.11 0.42 -0.2 0.3 0.27 74.6 beta- shengdi MOL000359 414.8 8.08 36.91 1.32 0.99 0.8 0.23 20.2 sitosterol pachymic shengdi MOL000289 528.9 6.54 33.63 0.1 -0.6 0.8 0 9.27 acid Poricoic acid shengdi MOL000291 484.7 5.64 30.52 -0.08 -0.9 0.8 0 8.67 B Chrysanthem shengdi MOL004492 585 8.24 38.72 0.51 -1 0.6 0.3 17.5 axanthin 20- shengdi MOL011455 Hexadecano 418.6 1.91 32.7 -0.24 -0.4 0.7 0.29 104 ylingenol huanglian MOL001454 berberine 336.4 3.45 36.86 1.24 0.57 0.8 0.19 6.57 huanglian MOL013352 Obacunone 454.6 2.68 43.29 0.01 -0.4 0.8 0.31 -13 huanglian MOL002894 berberrubine 322.4 3.2 35.74 1.07 0.17 0.7 0.24 6.46 huanglian MOL002897 epiberberine 336.4 3.45 43.09 1.17 0.4 0.8 0.19 6.1 huanglian MOL002903 (R)-Canadine 339.4 3.4 55.37 1.04 0.57 0.8 0.2 6.41 huanglian MOL002904 Berlambine 351.4 2.49 36.68 0.97 0.17 0.8 0.28 7.33 Corchorosid huanglian MOL002907 404.6 1.34 105 -0.91 -1.3 0.8 0.29 6.68 e A_qt Magnogrand huanglian MOL000622 266.4 1.18 63.71 0.02 -0.2 0.2 0.3 3.17 iolide huanglian MOL000762 Palmidin A 510.5 4.52 35.36 -0.38 -1.5 0.7 0.39 33.2 huanglian MOL000785 palmatine 352.4 3.65 64.6 1.33 0.37 0.7 0.13 2.25 huanglian MOL000098 quercetin 302.3 1.5 46.43 0.05 -0.8 0.3 0.38 14.4 huanglian MOL001458 coptisine 320.3 3.25 30.67 1.21 0.32 0.9 0.26 9.33 huanglian MOL002668 Worenine -
A Master Autoantigen-Ome Links Alternative Splicing, Female Predilection, and COVID-19 to Autoimmune Diseases
bioRxiv preprint doi: https://doi.org/10.1101/2021.07.30.454526; this version posted August 4, 2021. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under aCC-BY 4.0 International license. A Master Autoantigen-ome Links Alternative Splicing, Female Predilection, and COVID-19 to Autoimmune Diseases Julia Y. Wang1*, Michael W. Roehrl1, Victor B. Roehrl1, and Michael H. Roehrl2* 1 Curandis, New York, USA 2 Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, USA * Correspondence: [email protected] or [email protected] 1 bioRxiv preprint doi: https://doi.org/10.1101/2021.07.30.454526; this version posted August 4, 2021. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under aCC-BY 4.0 International license. Abstract Chronic and debilitating autoimmune sequelae pose a grave concern for the post-COVID-19 pandemic era. Based on our discovery that the glycosaminoglycan dermatan sulfate (DS) displays peculiar affinity to apoptotic cells and autoantigens (autoAgs) and that DS-autoAg complexes cooperatively stimulate autoreactive B1 cell responses, we compiled a database of 751 candidate autoAgs from six human cell types. At least 657 of these have been found to be affected by SARS-CoV-2 infection based on currently available multi-omic COVID data, and at least 400 are confirmed targets of autoantibodies in a wide array of autoimmune diseases and cancer. -
Defining Essential Elements and Genetic Interactions of the Yeast
Downloaded from rnajournal.cshlp.org on September 28, 2021 - Published by Cold Spring Harbor Laboratory Press 1 Defining essential elements and genetic interactions of the yeast Lsm2-8 ring and demonstration that essentiality of Lsm2-8 is bypassed via overexpression of U6 snRNA or the U6 snRNP subunit Prp24 Allen J. Roth1, Stewart Shuman2, and Beate Schwer1 1 Microbiology and Immunology Department, Weill Cornell Medical College, New York, NY 10065; and 2 Molecular Biology Program, Sloan-Kettering Institute, New York, NY 10065 correspondence: [email protected]; [email protected] Downloaded from rnajournal.cshlp.org on September 28, 2021 - Published by Cold Spring Harbor Laboratory Press 2 ABSTRACT A seven-subunit Lsm2-8 protein ring assembles on the U-rich 3' end of the U6 snRNA. A structure-guided mutational analysis of the Saccharomyces cerevisiae Lsm2-8 ring affords new insights to structure-function relations and genetic interactions of the Lsm subunits. Alanine scanning of 39 amino acids comprising the RNA-binding sites or inter-subunit interfaces of Lsm2, Lsm3, Lsm4, Lsm5, and Lsm8 identified only one instance of lethality (Lsm3-R69A) and one severe growth defect (Lsm2-R63A), both involving amino acids that bind the 3'-terminal UUU trinucleotide. All other Ala mutations were benign with respect to vegetative growth. Tests of 235 pairwise combinations of benign Lsm mutants identified six instances of inter-Lsm synthetic lethality and 45 cases of non-lethal synthetic growth defects. Thus, Lsm2-8 ring function is buffered by a network of internal genetic redundancies. A salient finding was that otherwise lethal single-gene deletions lsm2∆, lsm3∆, lsm4∆, lsm5, and lsm8∆ were rescued by overexpression of U6 snRNA from a high-copy plasmid. -
Ontology Applications in Systems Biology: a Machine Learning Approach
Ontology Applications in Systems Biology: a Machine Learning Approach by Elma Hussanna Akand Master of Information Technology, University of Queensland, Australia, 2001. BSc. Electrical & Electronic Engineering, Bangladesh University of Engineering & Technology, 1999. A thesis submitted in partial fulfillment for the degree of Doctor of Philosophy in the Faculty of Engineering School of Computer Science and Engineering The University of New South Wales July 2014 PLEASE TYPE THE UNIVERSITY OF NEW SOUTH WALES Thesis/Dissertation Sheet Surname or Family name: Akand First name: Elma Other name/s: Hussanna Abbreviation for degree as given in the University calendar : PhD School: School of Computer Science and Engineering Faculty: Faculty of Engineering Title: Ontology Applications in Systems Biology: a Machine Learning Approach Abstract 350 words maximum: (PLEASE TYPE) Biology is flooded with an overwhelming accumulation of data and biologists require methods to apply their knowledge to explain biological networks of interacting genes or proteins in comprehensible terms. Therefore the focus of modern bioinformatics has shifted towards systems-wide analysis to understand mechanisms such as those underlying important diseases. Knowledge acquisition from such exponentially growing, inherently noisy and unstructured data is only likely to be achieved by combining bioinformatics, machine learning and semantic technologies such as ontologies. The major contribution of this thesis is on novel ontology applications to integrate complex multi-relational data towards learning models of biological systems. First we examined machine learning using ontology annotations to integrate heterogeneous data on systems biology. A series of propositional learning tasks to learn predictive models of intra-cellular expression in cells showed that feature construction and selection improved performance. -
A High-Throughput Approach to Uncover Novel Roles of APOBEC2, a Functional Orphan of the AID/APOBEC Family
Rockefeller University Digital Commons @ RU Student Theses and Dissertations 2018 A High-Throughput Approach to Uncover Novel Roles of APOBEC2, a Functional Orphan of the AID/APOBEC Family Linda Molla Follow this and additional works at: https://digitalcommons.rockefeller.edu/ student_theses_and_dissertations Part of the Life Sciences Commons A HIGH-THROUGHPUT APPROACH TO UNCOVER NOVEL ROLES OF APOBEC2, A FUNCTIONAL ORPHAN OF THE AID/APOBEC FAMILY A Thesis Presented to the Faculty of The Rockefeller University in Partial Fulfillment of the Requirements for the degree of Doctor of Philosophy by Linda Molla June 2018 © Copyright by Linda Molla 2018 A HIGH-THROUGHPUT APPROACH TO UNCOVER NOVEL ROLES OF APOBEC2, A FUNCTIONAL ORPHAN OF THE AID/APOBEC FAMILY Linda Molla, Ph.D. The Rockefeller University 2018 APOBEC2 is a member of the AID/APOBEC cytidine deaminase family of proteins. Unlike most of AID/APOBEC, however, APOBEC2’s function remains elusive. Previous research has implicated APOBEC2 in diverse organisms and cellular processes such as muscle biology (in Mus musculus), regeneration (in Danio rerio), and development (in Xenopus laevis). APOBEC2 has also been implicated in cancer. However the enzymatic activity, substrate or physiological target(s) of APOBEC2 are unknown. For this thesis, I have combined Next Generation Sequencing (NGS) techniques with state-of-the-art molecular biology to determine the physiological targets of APOBEC2. Using a cell culture muscle differentiation system, and RNA sequencing (RNA-Seq) by polyA capture, I demonstrated that unlike the AID/APOBEC family member APOBEC1, APOBEC2 is not an RNA editor. Using the same system combined with enhanced Reduced Representation Bisulfite Sequencing (eRRBS) analyses I showed that, unlike the AID/APOBEC family member AID, APOBEC2 does not act as a 5-methyl-C deaminase. -
Molecular Basis for the Distinct Cellular Functions of the Lsm1-7 and Lsm2-8 Complexes
Downloaded from rnajournal.cshlp.org on October 3, 2021 - Published by Cold Spring Harbor Laboratory Press Molecular basis for the distinct cellular functions of the Lsm1-7 and Lsm2-8 complexes Eric J. Montemayor1,2, Johanna M. Virta1, Samuel M. Hayes1, Yuichiro Nomura1, David A. Brow2, Samuel E. Butcher1 1Department of Biochemistry, University of Wisconsin-Madison, Madison, WI, USA. 2Department of Biomolecular Chemistry, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA. Correspondence should be addressed to E.J.M. ([email protected]) and S.E.B. ([email protected]). Abstract Eukaryotes possess eight highly conserved Lsm (like Sm) proteins that assemble into circular, heteroheptameric complexes, bind RNA, and direct a diverse range of biological processes. Among the many essential functions of Lsm proteins, the cytoplasmic Lsm1-7 complex initiates mRNA decay, while the nuclear Lsm2-8 complex acts as a chaperone for U6 spliceosomal RNA. It has been unclear how these complexes perform their distinct functions while differing by only one out of seven subunits. Here, we elucidate the molecular basis for Lsm-RNA recognition and present four high-resolution structures of Lsm complexes bound to RNAs. The structures of Lsm2-8 bound to RNA identify the unique 2′,3′ cyclic phosphate end of U6 as a prime determinant of specificity. In contrast, the Lsm1-7 complex strongly discriminates against cyclic phosphates and tightly binds to oligouridylate tracts with terminal purines. Lsm5 uniquely recognizes purine bases, explaining its divergent sequence relative to other Lsm subunits. Lsm1-7 loads onto RNA from the 3′ end and removal of the Lsm1 C-terminal region allows Lsm1-7 to scan along RNA, suggesting a gated mechanism for accessing internal binding sites. -
Dramatically Reduced Spliceosome in Cyanidioschyzon Merolae
Dramatically reduced spliceosome in PNAS PLUS Cyanidioschyzon merolae Martha R. Starka, Elizabeth A. Dunnb, William S. C. Dunna, Cameron J. Grisdalec, Anthony R. Danielea, Matthew R. G. Halsteada, Naomi M. Fastc, and Stephen D. Radera,b,1 aDepartment of Chemistry, University of Northern British Columbia, Prince George, BC, V2N 4Z9 Canada; and Departments of bBiochemistry and Molecular Biology, and cBotany, University of British Columbia, Vancouver, BC, V6T 1Z4 Canada Edited by Joan A. Steitz, Howard Hughes Medical Institute, Yale University, New Haven, CT, and approved February 9, 2015 (received for review September 1, 2014) The human spliceosome is a large ribonucleoprotein complex that C. merolae is an acidophilic, unicellular red alga that grows at catalyzes pre-mRNA splicing. It consists of five snRNAs and more temperatures of up to 56 °C (6). At 16.5 million base pairs, its than 200 proteins. Because of this complexity, much work has genome is similar in size to that of S. cerevisiae and contains focusedontheSaccharomyces cerevisiae spliceosome, viewed as a comparable number of genes; however only one tenth as many a highly simplified system with fewer than half as many splicing introns were annotated in C. merolae: 26 intron-containing factors as humans. Nevertheless, it has been difficult to ascribe genes, 0.5% of the genome (6). The small number of introns in a mechanistic function to individual splicing factors or even to dis- C. merolae raises the questions of whether the full complexity cern which are critical for catalyzing the splicing reaction. We have of the canonical splicing machinery has been maintained or C merolae identified and characterized the splicing machinery from the red alga whether . -
Multiple Functional Interactions Between Components of the Lsm2–Lsm8 Complex, U6 Snrna, and the Yeast La Protein
Copyright 2001 by the Genetics Society of America Multiple Functional Interactions Between Components of the Lsm2±Lsm8 Complex, U6 snRNA, and the Yeast La Protein Barbara K. Pannone, Sang Do Kim, Dennis A. Noe and Sandra L. Wolin Departments of Cell Biology and Molecular Biophysics and Biochemistry, Howard Hughes Medical Institute, Yale University School of Medicine, New Haven, Connecticut 06536 Manuscript received November 29, 2000 Accepted for publication February 13, 2001 ABSTRACT The U6 small nuclear ribonucleoprotein is a critical component of the eukaryotic spliceosome. The ®rst protein that binds the U6 snRNA is the La protein, an abundant phosphoprotein that binds the 3Ј end of many nascent small RNAs. A complex of seven Sm-like proteins, Lsm2±Lsm8, also binds the 3Ј end of U6 snRNA. A mutation within the Sm motif of Lsm8p causes Saccharomyces cerevisiae cells to require the La protein Lhp1p to stabilize nascent U6 snRNA. Here we describe functional interactions between Lhp1p, the Lsm proteins, and U6 snRNA. LSM2 and LSM4, but not other LSM genes, act as allele-speci®c, low-copy suppressors of mutations in Lsm8p. Overexpression of LSM2 in the lsm8 mutant strain increases the levels of both Lsm8p and U6 snRNPs. In the presence of extra U6 snRNA genes, LSM8 becomes dispensable for growth, suggesting that the only essential function of LSM8 is in U6 RNA biogenesis or function. Furthermore, deletions of LSM5, LSM6,orLSM7 cause LHP1 to become required for growth. Our experiments are consistent with a model in which Lsm2p and Lsm4p contact Lsm8p in the Lsm2±Lsm8 ring and suggest that Lhp1p acts redundantly with the entire Lsm2±Lsm8 complex to stabilize nascent U6 snRNA. -
Integrative Framework for Identification of Key Cell Identity Genes Uncovers
Integrative framework for identification of key cell PNAS PLUS identity genes uncovers determinants of ES cell identity and homeostasis Senthilkumar Cinghua,1, Sailu Yellaboinaa,b,c,1, Johannes M. Freudenberga,b, Swati Ghosha, Xiaofeng Zhengd, Andrew J. Oldfielda, Brad L. Lackfordd, Dmitri V. Zaykinb, Guang Hud,2, and Raja Jothia,b,2 aSystems Biology Section and dStem Cell Biology Section, Laboratory of Molecular Carcinogenesis, and bBiostatistics Branch, National Institute of Environmental Health Sciences, National Institutes of Health, Research Triangle Park, NC 27709; and cCR Rao Advanced Institute of Mathematics, Statistics, and Computer Science, Hyderabad, Andhra Pradesh 500 046, India Edited by Norbert Perrimon, Harvard Medical School and Howard Hughes Medical Institute, Boston, MA, and approved March 17, 2014 (received for review October 2, 2013) Identification of genes associated with specific biological pheno- (mESCs) for genes essential for the maintenance of ESC identity types is a fundamental step toward understanding the molecular resulted in only ∼8% overlap (8, 9), although many of the unique basis underlying development and pathogenesis. Although RNAi- hits in each screen were known or later validated to be real. The based high-throughput screens are routinely used for this task, lack of concordance suggest that these screens have not reached false discovery and sensitivity remain a challenge. Here we describe saturation (14) and that additional genes of importance remain a computational framework for systematic integration of published to be discovered. gene expression data to identify genes defining a phenotype of Motivated by the need for an alternative approach for iden- interest. We applied our approach to rank-order all genes based on tification of key cell identity genes, we developed a computa- their likelihood of determining ES cell (ESC) identity.