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Molecular Analysis of Small Rna and Small Protein Regulation of Escherichia Coli Stress Responses
MOLECULAR ANALYSIS OF SMALL RNA AND SMALL PROTEIN REGULATION OF ESCHERICHIA COLI STRESS RESPONSES BY CHELSEA R. LLOYD DISSERTATION Submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy in Microbiology in the Graduate College of the University of Illinois at Urbana-Champaign, 2018 Urbana, Illinois Doctoral Committee: Associate Professor Carin K. Vanderpool, Chair Professor John E. Cronan Professor William W. Metcalf Professor Peter A. B. Orlean Abstract Small RNA (sRNA) regulators control gene expression throughout all domains of life. In bacteria, they typically affect virulence, metabolism, and stress response genes posttranscriptionally through imperfect antisense pairing with their mRNAs. While most sRNAs are non-coding, a small number act as mRNAs themselves by encoding functional proteins. This study examines the regulatory and physiological effects of both a non-coding sRNA, DicF, and the protein product of a dual-function sRNA, SgrS in Eschericha coli. The sRNA SgrS encodes the small 43-amino acid protein SgrT. Both molecules are expressed during glucose-phosphate stress - a bacteriostatic condition in which phosphosugars accumulate in the cell either because of mutations in glycolysis or because of the transport of non-metabolizable glucose analogs such as αMG or 2DG. While both SgrT and SgrS base pairing can independently mitigate glucose-phosphate stress, they do so through distinct mechanisms. SgrS base pairing destabilizes the mRNA of the respective major and minor glucose transporters PtsG and ManXYZ, thereby inhibiting synthesis of additional glucose permeases and restricting further influx of non- metabolizable sugars. In this study we demonstrate that SgrT acts to specifically inhibit the transport activity of preexisting PtsG transporters, but does not affect ManXYZ. -
Determinants of Target Prioritization and Regulatory Hierarchy for the Bacterial Small RNA Sgrs
Molecular Microbiology (2019) 112(4), 1199–1218 doi:10.1111/mmi.14355 First published online 6 August 2019 Determinants of target prioritization and regulatory hierarchy for the bacterial small RNA SgrS Maksym Bobrovskyy,1,† Muhammad S. Azam,1 of regulation of SgrS targets. The RNA chaperone Jane K. Frandsen,2,3,‡ Jichuan Zhang,4 Hfq uses distinct modes of binding to different SgrS Anustup Poddar,4 Xiangqian Ma,1 Tina M. Henkin,2 mRNA targets, which differentially influences posi- Taekjip Ha4,5 and Carin K. Vanderpool 1* tive and negative regulation. The RNA degradosome 1 Department of Microbiology, University of Illinois at plays a larger role in regulation of some SgrS targets Urbana-Champaign, 601 S. Goodwin Ave., Urbana, compared to others. Collectively, our results sug- IL 61801, USA. gest that sRNA selection of target mRNAs and regu- 2 Department of Microbiology and Center for RNA latory hierarchy are influenced by several molecular Biology, The Ohio State University, Columbus, features and that the combination of these features OH 43210, USA. precisely tunes the efficiency of regulation of multi- 3 Biochemistry Program, The Ohio State University, target sRNA regulons. Columbus, OH 43210, USA. 4 Department of Biophysics and Biophysical Chemistry, Johns Hopkins University, Baltimore, MD 21205, USA. Introduction 5 Howard Hughes Medical Institute, Baltimore, Bacteria live in diverse niches, often encountering rapidly MD 21205, USA. changing and stressful environments. Bacterial stress responses can mitigate the negative effects of stress on cell structure and function. Stress responses are usually coordinated by regulators, either RNAs or proteins, that Summary alter expression of a regulon comprised of multiple genes. -
Identification of Regulation in Central Carbon Metabolism Among Related
Identification of differential regulation in central carbon metabolism between related cell lines DISSERTATION zur Erlangung des akademischen Grades Doctor rerum naturalium (Dr. rer. nat.) im Fach Biophysik eingereicht an der Lebenswissenschaftlichen Fakultät der Humboldt-Universität zu Berlin von M.Sc. Roman Josef Rainer Präsidentin/Präsident der Humboldt-Universität zu Berlin: Prof. Dr.-Ing. Dr. Sabine Kunst Dekanin/Dekan der Lebenswissenschaftlichen Fakultät der Humboldt-Universität zu Berlin: Prof. Dr. Bernhard Grimm Gutachter/innen: 1. Prof. Dr. Dr. h.c. Edda Klipp 2. Prof. Dr. Birgit Sawitzki 3. Prof. Julio R. Banga Tag der mündlichen Prüfung: 29.10.2020 Abstract Colon cancer cells and T cells regulate central carbon metabolism to meet their anabolic needs. In KRAS and BRAF tumors, metabolic reprogramming is a premise to support rapid prolif- eration. In T cells, the mitochondrial T cell activation inhibitor (TCAIM) is known to affect mitochondrial morphology but its effect on cellular metabolism is not well understood. Via math- ematical modelling, I investigate the differential regulation of closely related cell lines. I present the first mathematical model for colon cancer and T cell metabolism, unraveling differential regulation between related cell lines. The model shows that CaCO2-BRAFV600Ecells are mostly downregulated compared to CaCO2-KRASG12Vand CaCO2-control. Additionally, it demon- strates the critical role of monocarboxylate transporter (MCT), especially for CaCO2-KRASG12V. Concerning T cells, I compare wild-type T cells to homozygous TCAIM T cells. This unveils that TCAIM homozygous cells have a mostly downregulated TCA cycle, validated by RNASeq data, and are less metabolically active than wild-type T cells. Furthermore, if the glycolytic flux is not sufficient to support lactate export and biomass production, the model reveals that the TCA cy- cle is reversed as it requires less regulation. -
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. -
Supplementary Table S4. FGA Co-Expressed Gene List in LUAD
Supplementary Table S4. FGA co-expressed gene list in LUAD tumors Symbol R Locus Description FGG 0.919 4q28 fibrinogen gamma chain FGL1 0.635 8p22 fibrinogen-like 1 SLC7A2 0.536 8p22 solute carrier family 7 (cationic amino acid transporter, y+ system), member 2 DUSP4 0.521 8p12-p11 dual specificity phosphatase 4 HAL 0.51 12q22-q24.1histidine ammonia-lyase PDE4D 0.499 5q12 phosphodiesterase 4D, cAMP-specific FURIN 0.497 15q26.1 furin (paired basic amino acid cleaving enzyme) CPS1 0.49 2q35 carbamoyl-phosphate synthase 1, mitochondrial TESC 0.478 12q24.22 tescalcin INHA 0.465 2q35 inhibin, alpha S100P 0.461 4p16 S100 calcium binding protein P VPS37A 0.447 8p22 vacuolar protein sorting 37 homolog A (S. cerevisiae) SLC16A14 0.447 2q36.3 solute carrier family 16, member 14 PPARGC1A 0.443 4p15.1 peroxisome proliferator-activated receptor gamma, coactivator 1 alpha SIK1 0.435 21q22.3 salt-inducible kinase 1 IRS2 0.434 13q34 insulin receptor substrate 2 RND1 0.433 12q12 Rho family GTPase 1 HGD 0.433 3q13.33 homogentisate 1,2-dioxygenase PTP4A1 0.432 6q12 protein tyrosine phosphatase type IVA, member 1 C8orf4 0.428 8p11.2 chromosome 8 open reading frame 4 DDC 0.427 7p12.2 dopa decarboxylase (aromatic L-amino acid decarboxylase) TACC2 0.427 10q26 transforming, acidic coiled-coil containing protein 2 MUC13 0.422 3q21.2 mucin 13, cell surface associated C5 0.412 9q33-q34 complement component 5 NR4A2 0.412 2q22-q23 nuclear receptor subfamily 4, group A, member 2 EYS 0.411 6q12 eyes shut homolog (Drosophila) GPX2 0.406 14q24.1 glutathione peroxidase -
Computational Methods for the Identification and Characterization
Computational Methods for the Identification and Characterization of Non-Coding RNAs in Bacteria Dissertation der Mathematisch-Naturwissenschaftlichen Fakult¨at der Eberhard Karls Universit¨atT¨ubingen zur Erlangung des Grades eines Doktors der Naturwissenschaften (Dr. rer. nat.) vorgelegt von Alexander Herbig aus Altenkirchen T¨ubingen 2014 Tag der m¨undlichenQualifikation: 30.01.2015 Dekan: Prof. Dr. Wolfgang Rosenstiel 1. Berichterstatterin: PD Dr. Kay Nieselt 2. Berichterstatter: Prof. Dr. Daniel Huson 3. Berichterstatter: Prof. Dr. Rolf Backofen Zusammenfassung Forschungsergebnisse vergangener Jahre konnten zeigen wie komplex die Struktur und Regulation selbst bakterieller Transkriptome sein kann. Auch die wichtige Rolle nicht-kodierender RNAs (ncRNA), die nicht in Proteine translatiert werden, wird dabei immer deutlicher. Diese Molek¨uleerf¨ullen in der Zelle verschiedenste Aufgaben wie zum Beispiel die Regulation von Stoffwechselprozessen. Daher ist die Charakter- isierung der ncRNA-Gene eines Organismus immer mehr zu einem unverzichtbaren Teil von Systembiologie-Projekten geworden. Hierbei erlauben moderne Hochdurch- satzverfahren im Bereich der DNA- und RNA-Sequenzierung das im hohen Maße detaillierte Studium von Genomen und Transkriptomen. Die daraus resultierenden Daten m¨usseneiner vergleichenden Analyse unterzogen werden, um Variationen des Transkriptoms zwischen verschiedenen Organismen und Umweltbedingungen untersuchen zu k¨onnen.Hierf¨urwerden effiziente Computerprogramme ben¨otigt, die in der Lage sind genomische und transkriptomische Daten zu kombinieren und entsprechende Analysen automatisiert und reproduzierbar durchzuf¨uhren.Zu- dem m¨ussendiese Ans¨atzenicht-kodierende Elemente im genomischen Kontext lokalisieren und annotieren k¨onnen. In dieser Dissertation pr¨asentiere ich Computerprogramme zur L¨osungdieser Aufgaben. So wurde das Programm nocoRNAc entwickelt, welches ncRNAs in bakteriellen Genomen detektiert und diese bez¨uglich verschiedener Eigenschaften charakterisiert. -
The Ancestral Sgrs RNA Discriminates Horizontally Acquired Salmonella Mrnas Through a Single G-U Wobble Pair
The ancestral SgrS RNA discriminates horizontally acquired Salmonella mRNAs through a single G-U wobble pair Kai Papenforta, Dimitri Podkaminskia, Jay C. D. Hintonb, and Jörg Vogela,1 aRNA Biology Group, Institute for Molecular Infection Biology, University of Würzburg, D-97080 Würzburg, Germany; and bDepartment of Microbiology, Moyne Institute of Preventive Medicine, Trinity College, Dublin 2, Ireland AUTHOR SUMMARY Small noncoding RNAs A characteristic of HGT (sRNAs) constitute a vital group genes is that they are more likely of so-called posttranscriptional to undergo duplication than so- SgrS RNA regulators that shape the gene Core genome Horizontally acquired called core genes. Gene dupli- expression of eukaryotic and elements pathogenicity genes cation is a well-studied phe- prokaryotic organisms. In bac- nomenon accelerating evolu- teria, sRNAs generally act duplication tionary change in bacterial through base pairing to reduce pathogens (4). For example, the Hfq or increase the translation of ptsG/manXYZ mRNAs sopD mRNA sopD2 mRNA sopD gene has been duplicated target mRNAs into protein. target (G-C base-pair) pseudotarget (G-U base-pair) to generate sopD2 throughout Most of our current knowledge the S. enterica species, except in of sRNA numbers and functions the ancestral S. bongori (1). A Fig. P1. Posttranscriptional interaction between the core and stems from two species, Escher- horizontally acquired genome through Hfq and sRNAs. The SgrS sRNA bioinformatic comparison of the ichia coli and Salmonella enterica is encoded by the Salmonella core genome and conserved in many sopD and sopD2 sequences serovar Typhimurium. Both bacterial species, including E. coli and Salmonella. Aided by the RNA showed that the SgrS targeting organisms display a high degree chaperone Hfq, SgrS reduces the expression of mRNAs encoding for region is well-conserved be- of sequence conservation across sugar transport proteins (ptsG and manXYZ), both of which are core tween both genes; in other about three-quarters of the genomic elements. -
Small RNA-Mediated Activation of Sugar Phosphatase Mrna Regulates Glucose Homeostasis
View metadata, citation and similar papers at core.ac.uk brought to you by CORE provided by Elsevier - Publisher Connector Small RNA-Mediated Activation of Sugar Phosphatase mRNA Regulates Glucose Homeostasis Kai Papenfort,1,2 Yan Sun,3 Masatoshi Miyakoshi,1 Carin K. Vanderpool,3,* and Jo¨ rg Vogel1,* 1Institute for Molecular Infection Biology, University of Wu¨ rzburg, Wu¨ rzburg 97070, Germany 2Department of Molecular Biology, Princeton University, Princeton, NJ 08540, USA 3Department of Microbiology, University of Illinois at Urbana-Champaign, Urbana, IL 61802, USA *Correspondence: [email protected] (C.K.V.), [email protected] (J.V.) http://dx.doi.org/10.1016/j.cell.2013.03.003 SUMMARY glycolytic flux, their intracellular levels must be tightly regulated since high levels are toxic and strongly impair cell growth (Irani Glucose homeostasis is strictly controlled in all and Maitra, 1977; Kadner et al., 1992) and cause DNA damage domains of life. Bacteria that are unable to balance (Bucala et al., 1985; Lee and Cerami, 1987). Similarly, many non- intracellular sugar levels and deal with potentially metabolizable sugars can cause phosphosugar stress. For toxic phosphosugars cease growth and risk being example, the glucose analog a-methyl-glucoside (a-MG) is outcompeted. Here, we identify the conserved haloa- efficiently imported by PtsG, the major glucose transporter of a cid dehalogenase (HAD)-like enzyme YigL as the pre- Escherichia coli and Salmonella (Jahreis et al., 2008). -MG-6- phosphate accumulates in the cytoplasm and can terminate viously hypothesized phosphatase for detoxification bacterial growth (Pikis et al., 2006; Rogers and Yu, 1962). -
An E. Coli Small Rna Inhibits Translation Initiation from a Distance
AN E. COLI SMALL RNA INHIBITS TRANSLATION INITIATION FROM A DISTANCE BY MUHAMMAD SHAFIUL AZAM DISSERTATION Submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy in Microbiology in the Graduate College of the University of Illinois at Urbana-Champaign, 2019 Urbana, Illinois Doctoral Committee: Professor Carin K. Vanderpool, Chair Professor Rachel J. Whitaker Professor James M. Slauch Professor Gary J. Olsen ABSTRACT In bacterial systems, small RNA (sRNA)-dependent translational repression is commonly carried out via sRNA-mRNA base pairing interactions near the Shine- Dalgarno (SD) region. In this so-called “canonical” mechanism, the sRNA is the direct regulator; it competes with the initiating ribosomes while the chaperone protein Hfq plays a supporting role. Contrary to this widely accepted model, there are a few examples in the literature where the sRNA base pairs far from the SD region, yet translation of the target mRNA is still inhibited. Mechanistically, non-canonical translation regulation is one of the least understood aspects of sRNA biology. In the targetome of an E. coli sRNA SgrS, manXYZ is a non-canonical target where SgrS base pairs at two distinct sites that are far from the SD regions of manX and manY , yet translation of these two cistrons are repressed by SgrS. We found that manX translation is controlled by a molecular role- reversal mechanism where an Hfq binding site is directly adjacent to the manX ribosome binding site. In this regulatory mechanism, SgrS plays the role of a guide to recruit Hfq to the appropriate binding site to form the silencing complex. -
Human Induced Pluripotent Stem Cell–Derived Podocytes Mature Into Vascularized Glomeruli Upon Experimental Transplantation
BASIC RESEARCH www.jasn.org Human Induced Pluripotent Stem Cell–Derived Podocytes Mature into Vascularized Glomeruli upon Experimental Transplantation † Sazia Sharmin,* Atsuhiro Taguchi,* Yusuke Kaku,* Yasuhiro Yoshimura,* Tomoko Ohmori,* ‡ † ‡ Tetsushi Sakuma, Masashi Mukoyama, Takashi Yamamoto, Hidetake Kurihara,§ and | Ryuichi Nishinakamura* *Department of Kidney Development, Institute of Molecular Embryology and Genetics, and †Department of Nephrology, Faculty of Life Sciences, Kumamoto University, Kumamoto, Japan; ‡Department of Mathematical and Life Sciences, Graduate School of Science, Hiroshima University, Hiroshima, Japan; §Division of Anatomy, Juntendo University School of Medicine, Tokyo, Japan; and |Japan Science and Technology Agency, CREST, Kumamoto, Japan ABSTRACT Glomerular podocytes express proteins, such as nephrin, that constitute the slit diaphragm, thereby contributing to the filtration process in the kidney. Glomerular development has been analyzed mainly in mice, whereas analysis of human kidney development has been minimal because of limited access to embryonic kidneys. We previously reported the induction of three-dimensional primordial glomeruli from human induced pluripotent stem (iPS) cells. Here, using transcription activator–like effector nuclease-mediated homologous recombination, we generated human iPS cell lines that express green fluorescent protein (GFP) in the NPHS1 locus, which encodes nephrin, and we show that GFP expression facilitated accurate visualization of nephrin-positive podocyte formation in -
Mechanistic and Physiological Insights Into Post- Transcriptional Regulation by Small Rnas Sgrs and Dicf
MECHANISTIC AND PHYSIOLOGICAL INSIGHTS INTO POST- TRANSCRIPTIONAL REGULATION BY SMALL RNAS SGRS AND DICF BY DIVYA BALASUBRAMANIAN DISSERTATION Submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy in Microbiology in the Graduate College of the University of Illinois at Urbana-Champaign, 2014 Urbana, Illinois Doctoral Commitee: Associate Professor Carin K. Vanderpool, Chair Professor Jeffrey F. Gardner Professor William W. Metcalf Professor James M. Slauch Abstract Base pairing small regulatory RNAs (sRNAs) are important post-transcriptional regulators of gene expression in bacteria. These sRNAs deploy novel mechanisms to regulate mRNA targets leading to various physiological outcomes during stress conditions including, but not limited to, iron starvation, carbon flux and metabolism, virulence, and quorum sensing. In this study, we investigate the multitude of clever mechanisms that two sRNAs, SgrS and DicF, utilize to regulate gene expression, and the physiological consequences of such regulation. The SgrS sRNA participates in a response to a growth inhibitory stress condition called sugar-phosphate stress caused by the toxic accumulation of phosphorylated sugars. SgrS combats this stress with its RNA base pairing function by silencing translation of sugar transporters that import the stress molecules. SgrS was previously shown to negatively regulate the manXYZ broad sugar-substrate transporter. In this study we demonstrate that SgrS binds at manX and in the intergenic region of manXY to translationally silence this operon. We show that pairing at both these sites is critical for degradation of the manXYZ polycistron, and is also crucial for providing maximal relief from stress. SgrS is a dual-function sRNA in that in addition to its RNA function, it also produces a peptide called SgrT. -
Discovery of Small Rnas and Characterization of Their Regulatory Roles in Mycobacterium Tuberculosis
Discovery of Small RNAs and Characterization of Their Regulatory Roles in Mycobacterium Tuberculosis The Harvard community has made this article openly available. Please share how this access benefits you. Your story matters Citation Gerrick, Elias Roth. 2018. Discovery of Small RNAs and Characterization of Their Regulatory Roles in Mycobacterium Tuberculosis. Doctoral dissertation, Harvard University, Graduate School of Arts & Sciences. Citable link http://nrs.harvard.edu/urn-3:HUL.InstRepos:41129159 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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