Regulation of RNA Stability by Terminal Nucleotidyltransferases
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Subcellular RNA Profiling Links Splicing and Nuclear DICER1 to Alternative Cleavage and Polyadenylation
Downloaded from genome.cshlp.org on September 23, 2021 - Published by Cold Spring Harbor Laboratory Press Subcellular RNA profiling links splicing and nuclear DICER1 to alternative cleavage and polyadenylation Jonathan Neve1#, Kaspar Burger2#, Wencheng Li3, Mainul Hoque3, Radhika Patel1, Bin Tian3, Monika Gullerova2* and Andre Furger1* Affiliations: 1 Department of Biochemistry, South Parks Road, University of Oxford, OX1 3QU, UK 2 Sir William Dunn School of Pathology, South Parks Road, University of Oxford, OX1 3RE, UK 3Department of Biochemistry and Molecular Biology, Rutgers New Jersey Medical School, Newark, NJ 07103, USA *Corresponding authors: Andre Furger Email: [email protected] Monika Gullerova Email: [email protected] # authors contributed equally Running Title: APA and subcellular fractionation Key words: alternative polyadenylation, mRNA, subcellular fractionation, DICER1 1 Downloaded from genome.cshlp.org on September 23, 2021 - Published by Cold Spring Harbor Laboratory Press ABSTRACT Alternative cleavage and polyadenylation (APA) plays a crucial role in the regulation of gene expression across eukaryotes. Although APA is extensively studied, its regulation within cellular compartments and its physiological impact remains largely enigmatic. Here, we employed a rigorous subcellular fractionation approach to compare APA profiles of cytoplasmic and nuclear RNA fractions from human cell lines. This approach allowed us to extract APA isoforms that are subjected to differential regulation and provided us with a platform to interrogate the molecular regulatory pathways that shape APA profiles in different subcellular locations. Here we show that APA isoforms with shorter 3’UTRs tend to be overrepresented in the cytoplasm and appear to be cell type specific events. -
Liver Med23 Ablation Improves Glucose and Lipid Metabolism Through Modulating FOXO1 Activity
Cell Research (2014) 24:1250-1265. npg © 2014 IBCB, SIBS, CAS All rights reserved 1001-0602/14 ORIGINAL ARTICLE www.nature.com/cr Liver Med23 ablation improves glucose and lipid metabolism through modulating FOXO1 activity Yajing Chu1, Leonardo Gómez Rosso1, Ping Huang2, Zhichao Wang1, Yichi Xu3, Xiao Yao1, Menghan Bao1, Jun Yan3, Haiyun Song2, Gang Wang1 1State Key Laboratory of Cell Biology, Institute of Biochemistry and Cell Biology, Shanghai Institutes for Biological Sciences, Chi- nese Academy of Sciences, 320 Yueyang Road, Shanghai 200031, China; 2Key Laboratory of Nutrition and Metabolism, Institute for Nutritional Sciences, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, 320 Yueyang Road, Shang- hai 200031, China; 3CAS-MPG Partner Institute for Computational Biology, Shanghai Institute for Biological Sciences, Chinese Academy of Sciences, 320 Yueyang Road, Shanghai 200031, China Mediator complex is a molecular hub integrating signaling, transcription factors, and RNA polymerase II (RNAPII) machinery. Mediator MED23 is involved in adipogenesis and smooth muscle cell differentiation, suggesting its role in energy homeostasis. Here, through the generation and analysis of a liver-specific Med23-knockout mouse, we found that liver Med23 deletion improved glucose and lipid metabolism, as well as insulin responsiveness, and prevented diet-induced obesity. Remarkably, acute hepatic Med23 knockdown in db/db mice significantly improved the lipid profile and glucose tolerance. Mechanistically, MED23 participates in gluconeogenesis and cholesterol synthesis through modulating the transcriptional activity of FOXO1, a key metabolic transcription factor. Indeed, hepatic Med23 deletion impaired the Mediator and RNAPII recruitment and attenuated the expression of FOXO1 target genes. Moreover, this functional interaction between FOXO1 and MED23 is evolutionarily conserved, as the in vivo activities of dFOXO in larval fat body and in adult wing can be partially blocked by Med23 knockdown in Drosophila. -
The Role of Polyadenylation in the Induction of Inflammatory Genes
The role of polyadenylation in the induction of inflammatory genes Raj Gandhi BSc & ARCS Thesis submitted for the degree of Doctor of Philosophy September 2016 Declaration Except where acknowledged in the text, I declare that this thesis is my own work and is based on research that was undertaken by me in the School of Pharmacy, Faculty of Science, The University of Nottingham. i Acknowledgements First and foremost, I give thanks to my primary supervisor Dr. Cornelia de Moor. She supported me at every step, always made time for me whenever I needed it, and was sympathetic during times of difficulty. I feel very, very fortunate to have been her student. I would also like to thank Dr. Catherine Jopling for her advice and Dr. Graeme Thorn for being so patient and giving me so much help in understanding the bioinformatics parts of my project. I am grateful to Dr. Anna Piccinini and Dr. Sadaf Ashraf for filling in huge gaps in my knowledge about inflammation and osteoarthritis, and to Dr. Sunir Malla for help with the TAIL-seq work. I thank Dr. Richa Singhania and Kathryn Williams for proofreading. Dr. Hannah Parker was my “big sister” in the lab from my first day, and I am very grateful for all her help and for her friendship. My project was made all the more enjoyable/bearable by the members of the Gene Regulation and RNA Biology group, especially Jialiang Lin, Kathryn Williams, Dr. Richa Singhania, Aimée Parsons, Dan Smalley, and Hibah Al-Masmoum. Barbara Rampersad was a wonderful technician. Mike Thomas, James Williamson, Will Hawley, Tom Upton, and Jamie Ware were some of the best of friends I could have hoped to make in Nottingham. -
Mrna Vaccine Era—Mechanisms, Drug Platform and Clinical Prospection
International Journal of Molecular Sciences Review mRNA Vaccine Era—Mechanisms, Drug Platform and Clinical Prospection 1, 1, 2 1,3, Shuqin Xu y, Kunpeng Yang y, Rose Li and Lu Zhang * 1 State Key Laboratory of Genetic Engineering, Institute of Genetics, School of Life Science, Fudan University, Shanghai 200438, China; [email protected] (S.X.); [email protected] (K.Y.) 2 M.B.B.S., School of Basic Medical Sciences, Peking University Health Science Center, Beijing 100191, China; [email protected] 3 Shanghai Engineering Research Center of Industrial Microorganisms, Shanghai 200438, China * Correspondence: [email protected]; Tel.: +86-13524278762 These authors contributed equally to this work. y Received: 30 July 2020; Accepted: 30 August 2020; Published: 9 September 2020 Abstract: Messenger ribonucleic acid (mRNA)-based drugs, notably mRNA vaccines, have been widely proven as a promising treatment strategy in immune therapeutics. The extraordinary advantages associated with mRNA vaccines, including their high efficacy, a relatively low severity of side effects, and low attainment costs, have enabled them to become prevalent in pre-clinical and clinical trials against various infectious diseases and cancers. Recent technological advancements have alleviated some issues that hinder mRNA vaccine development, such as low efficiency that exist in both gene translation and in vivo deliveries. mRNA immunogenicity can also be greatly adjusted as a result of upgraded technologies. In this review, we have summarized details regarding the optimization of mRNA vaccines, and the underlying biological mechanisms of this form of vaccines. Applications of mRNA vaccines in some infectious diseases and cancers are introduced. It also includes our prospections for mRNA vaccine applications in diseases caused by bacterial pathogens, such as tuberculosis. -
Yeast Genome Gazetteer P35-65
gazetteer Metabolism 35 tRNA modification mitochondrial transport amino-acid metabolism other tRNA-transcription activities vesicular transport (Golgi network, etc.) nitrogen and sulphur metabolism mRNA synthesis peroxisomal transport nucleotide metabolism mRNA processing (splicing) vacuolar transport phosphate metabolism mRNA processing (5’-end, 3’-end processing extracellular transport carbohydrate metabolism and mRNA degradation) cellular import lipid, fatty-acid and sterol metabolism other mRNA-transcription activities other intracellular-transport activities biosynthesis of vitamins, cofactors and RNA transport prosthetic groups other transcription activities Cellular organization and biogenesis 54 ionic homeostasis organization and biogenesis of cell wall and Protein synthesis 48 plasma membrane Energy 40 ribosomal proteins organization and biogenesis of glycolysis translation (initiation,elongation and cytoskeleton gluconeogenesis termination) organization and biogenesis of endoplasmic pentose-phosphate pathway translational control reticulum and Golgi tricarboxylic-acid pathway tRNA synthetases organization and biogenesis of chromosome respiration other protein-synthesis activities structure fermentation mitochondrial organization and biogenesis metabolism of energy reserves (glycogen Protein destination 49 peroxisomal organization and biogenesis and trehalose) protein folding and stabilization endosomal organization and biogenesis other energy-generation activities protein targeting, sorting and translocation vacuolar and lysosomal -
Interplay Between Uridylation and Deadenylation During Mrna Degradation in Arabidopsis Thaliana
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Sudips Revised Thesis
Investigation Of The Behavior Of The Gal4 Inhibitor Gal80 Of The GAL Genetic Switch In The Yeast Saccharomyces Cerevisiae Dissertation Presented in Partial Fulfillment of the Requirements for the Degree Doctor of Philosophy in the Graduate School of The Ohio State University By Sudip Goswami, M.S. Graduate Program in Molecular Genetics The Ohio State University 2014 Dissertation Committee Dr. James Hopper, Advisor Dr. Stephen Osmani Dr. Hay-Oak Park Dr. Jian-Qiu Wu ii Copyright by Sudip Goswami 2014 iii ABSTRACT The DNA-binding transcriptional activator Gal4 and its regulators Gal80 and Gal3 constitute a galactose-responsive switch for the GAL genes of Saccharomyces cerevisiae. Gal4 binds to upstream activation sequences or UASGAL sites on GAL gene promoters as a dimer both in the absence and presence of galactose. In the absence of galactose, a Gal80 dimer binds to and masKs the Gal4 activation domain, inhibiting its activity. In the presence of galactose, Gal3 interacts with Gal80 and relieves Gal80’s inhibition of Gal4 activity allowing rapid induction of expression of GAL genes. In the first part of this work (Chapter 2) in-vitro chemical crosslinking coupled with SDS PAGE and native PAGE analysis were employed to show that the presence of Gal3 that can interact with Gal80 impairs Gal80 self association. In addition, live cell spinning disK confocal imaging showed that dissipation of newly discovered Gal80-2mYFP/2GFP clusters in galactose is dependent on Gal3’s ability to interact with Gal80. In the second part (Chapter 3), extensive analysis of Gal80 clusters was carried out which showed that these clusters associate strongly with the GAL1-10-7 locus and this association is dependent on the presence of the UASGAL sites at this locus. -
Genome-Scale Fitness Profile of Caulobacter Crescentus Grown in Natural Freshwater
Supplemental Material Genome-scale fitness profile of Caulobacter crescentus grown in natural freshwater Kristy L. Hentchel, Leila M. Reyes Ruiz, Aretha Fiebig, Patrick D. Curtis, Maureen L. Coleman, Sean Crosson Tn5 and Tn-Himar: comparing gene essentiality and the effects of gene disruption on fitness across studies A previous analysis of a highly saturated Caulobacter Tn5 transposon library revealed a set of genes that are required for growth in complex PYE medium [1]; approximately 14% of genes in the genome were deemed essential. The total genome insertion coverage was lower in the Himar library described here than in the Tn5 dataset of Christen et al (2011), as Tn-Himar inserts specifically into TA dinucleotide sites (with 67% GC content, TA sites are relatively limited in the Caulobacter genome). Genes for which we failed to detect Tn-Himar insertions (Table S13) were largely consistent with essential genes reported by Christen et al [1], with exceptions likely due to differential coverage of Tn5 versus Tn-Himar mutagenesis and differences in metrics used to define essentiality. A comparison of the essential genes defined by Christen et al and by our Tn5-seq and Tn-Himar fitness studies is presented in Table S4. We have uncovered evidence for gene disruptions that both enhanced or reduced strain fitness in lake water and M2X relative to PYE. Such results are consistent for a number of genes across both the Tn5 and Tn-Himar datasets. Disruption of genes encoding three metabolic enzymes, a class C β-lactamase family protein (CCNA_00255), transaldolase (CCNA_03729), and methylcrotonyl-CoA carboxylase (CCNA_02250), enhanced Caulobacter fitness in Lake Michigan water relative to PYE using both Tn5 and Tn-Himar approaches (Table S7). -
The Reciprocal Regulation Between Splicing and 3-End Processing
Advanced Review The reciprocal regulation between splicing and 30-end processing Daisuke Kaida* Most eukaryotic precursor mRNAs are subjected to RNA processing events, including 50-end capping, splicing and 30-end processing. These processing events were historically studied independently; however, since the early 1990s tremendous efforts by many research groups have revealed that these processing factors interact with each other to control each other’s functions. U1 snRNP and its components negatively regulate polyadenylation of precursor mRNAs. Impor- tantly, this function is necessary for protecting the integrity of the transcriptome and for regulating gene length and the direction of transcription. In addition, physical and functional interactions occur between splicing factors and 30-end processing factors across the last exon. These interactions activate or inhibit spli- cing and 30-end processing depending on the context. Therefore, splicing and 30- end processing are reciprocally regulated in many ways through the complex protein–protein interaction network. Although interesting questions remain, future studies will illuminate the molecular mechanisms underlying the recipro- cal regulation. © 2016 The Authors. WIREs RNA published by Wiley Periodicals, Inc. How to cite this article: WIREs RNA 2016, 7:499–511. doi: 10.1002/wrna.1348 INTRODUCTION regulate each other on the transcription apparatus. In addition, because these events are carried out co- n eukaryotic cells, most precursor mRNAs (pre- transcriptionally in most cases, such factors can exist ImRNAs) consist of protein-coding regions, exons, on pre-mRNA just after synthesis of the binding sites 1,2 and intervening regions, introns. The pre-mRNAs of processing factors, suggesting that the factors are subjected to splicing to remove introns and to affect each other on the pre-mRNA. -
Differences in the Formation Mechanism of Giant Colonies in Two Phaeocystis Globosa Strains
International Journal of Molecular Sciences Article Differences in the Formation Mechanism of Giant Colonies in Two Phaeocystis globosa Strains 1,2, 2, 2 2, 1, Dayong Liang y, Xiaodong Wang y, Yiping Huo , Yan Wang * and Shaoshan Li * 1 Key Laboratory of Ecology and Environmental Science in Guangdong Higher Education, School of Life Science, South China Normal University, Guangzhou 510631, China; [email protected] 2 Research Center for Harmful Algae and Marine Biology, Jinan University, Guangzhou 510632, China; [email protected] (X.W.); [email protected] (Y.H.) * Correspondence: [email protected] (Y.W.); [email protected] (S.L.) The authors contributed equally to this work as co-first authors. y Received: 13 June 2020; Accepted: 27 July 2020; Published: 29 July 2020 Abstract: Phaeocystis globosa has become one of the primary causes of harmful algal bloom in coastal areas of southern China in recent years, and it poses a serious threat to the marine environment and other activities depending upon on it (e.g., aquaculture, cooling system of power plants), especially in the Beibu Gulf. We found colonies of P. globosa collected form Guangxi (China) were much larger than those obtained from Shantou cultured in lab. To better understand the causes of giant colonies formation, colonial cells collected from P. globosa GX strain (GX-C) and ST strain (ST-C) were separated by filtration. Morphological observations, phylogenetic analyses, rapid light-response curves, fatty acid profiling and transcriptome analyses of two type cells were performed in the laboratory. Although no differences in morphology and 18S rRNA sequences of these cells were observed, the colonies of GX strain (4.7 mm) are 30 times larger than those produced by the ST strain (300 µm). -
The Chloroplast Epitranscriptome: Factors, Sites, Regulation, and Detection Methods
G C A T T A C G G C A T genes Review The Chloroplast Epitranscriptome: Factors, Sites, Regulation, and Detection Methods Nikolay Manavski 1,† , Alexandre Vicente 1,†, Wei Chi 2 and Jörg Meurer 1,* 1 Plant Molecular Biology, Faculty of Biology, Ludwig-Maximilians-University Munich, Großhaderner Street 2-4, 82152 Planegg-Martinsried, Germany; [email protected] (N.M.); [email protected] (A.V.) 2 Photosynthesis Research Center, Key Laboratory of Photobiology, Institute of Botany, Chinese Academy of Sciences, Beijing 100093, China; [email protected] * Correspondence: [email protected]; Tel.: +49-89-218074556 † Both authors contributed equally to this work. Abstract: Modifications in nucleic acids are present in all three domains of life. More than 170 dis- tinct chemical modifications have been reported in cellular RNAs to date. Collectively termed as epitranscriptome, these RNA modifications are often dynamic and involve distinct regulatory pro- teins that install, remove, and interpret these marks in a site-specific manner. Covalent nucleotide modifications-such as methylations at diverse positions in the bases, polyuridylation, and pseu- douridylation and many others impact various events in the lifecycle of an RNA such as folding, localization, processing, stability, ribosome assembly, and translational processes and are thus cru- cial regulators of the RNA metabolism. In plants, the nuclear/cytoplasmic epitranscriptome plays important roles in a wide range of biological processes, such as organ development, viral infection, and physiological means. Notably, recent transcriptome-wide analyses have also revealed novel dynamic modifications not only in plant nuclear/cytoplasmic RNAs related to photosynthesis but Citation: Manavski, N.; Vicente, A.; especially in chloroplast mRNAs, suggesting important and hitherto undefined regulatory steps in Chi, W.; Meurer, J. -
1.2 Cis Elements …………………………………………………………………
UC Irvine UC Irvine Electronic Theses and Dissertations Title Characterization of the Mammalian mRNA 3' Processing Complex Permalink https://escholarship.org/uc/item/0m16c8r4 Author Chan, Serena Leong Publication Date 2014 Peer reviewed|Thesis/dissertation eScholarship.org Powered by the California Digital Library University of California UNIVERSITY OF CALIFORNIA, IRVINE Characterization of the Mammalian mRNA 3’ Processing Complex DISSERTATION submitted in partial satisfaction of the requirements for the degree of DOCTOR OF PHILOSOPHY in Biomedical Sciences by Serena Leong Chan Dissertation Committee: Professor Yongsheng Shi, Ph.D., Chair Professor Andrej Lupták, Ph.D. Professor Klemens J. Hertel, Ph.D. Professor Marian L. Waterman, Ph.D. 2014 1 Chapter 1 © 2010 John Wiley & Sons, Ltd. All Other Materials © 2014 Serena Leong Chan ii DEDICATION To my wonderful, loving mom for teaching me how to be a good person, for showing me the joys of life and for loving me for who I am. iii TABLE OF CONTENTS Page LIST OF FIGURES ……………………………….………………………………… v LIST OF TABLES ……………………………………..…………………………….. vii ACKNOWLEDGEMENTS ……………………………………………………….… viii CURRICULUM VITAE …………………………………………….………………... x ABSTRACT OF THE DISSERTATION …………………………………........... xiii Chapter 1. Introduction ………………………………………………………………… 1 1.1 Pre-mRNA 3’ Processing Components Overview ………………………… 4 1.2 Cis Elements ………………………………………………………………….. 4 1.3 Trans Factors ........................................................................................... 7 1.4 mRNA 3’ Processing Complex