DOCSLIB.ORG

Cytoplasmic Complex Comprising TAF2, TAF8 and TAF10 Provides Evidence for Nuclear Holo- TFIID Assembly from Preformed Submodules

Total Page：16

File Type：pdf, Size：1020Kb

Download full-text PDF Read full-text
Cytoplasmic Complex Comprising TAF2, TAF8 and TAF10 Provides Evidence for Nuclear Holo- TFIID Assembly from Preformed Submodules Biochemical studies of human TBP-associated factor TAF2 and a TAF2 and a TAF2-8-10 subcomplex of human general transcription factor TFIID Cristina Viola To cite this version: Cristina Viola. Biochemical studies of human TBP-associated factor TAF2 and a TAF2 and a TAF2- 8-10 subcomplex of human general transcription factor TFIID. Biochemistry, Molecular Biology. Uni- versité de Grenoble, 2014. English. NNT : 2014GRENV072. tel-01561609 HAL Id: tel-01561609 https://tel.archives-ouvertes.fr/tel-01561609 Submitted on 13 Jul 2017 HAL is a multi-disciplinary open access L’archive ouverte pluridisciplinaire HAL, est archive for the deposit and dissemination of sci- destinée au dépôt et à la diffusion de documents entific research documents, whether they are pub- scientifiques de niveau recherche, publiés ou non, lished or not. The documents may come from émanant des établissements d’enseignement et de teaching and research institutions in France or recherche français ou étrangers, des laboratoires abroad, or from public or private research centers. publics ou privés. THÈSE To obtain the title of / Pour obtenir le grade de DOCTEUR DE L’UNIVERSITÉ DE GRENOBLE Discipline / Spécialité : Doctorat CSV/Chimie Physique Moléculaire et Structurale Arrêté ministériel : Presented by / Présentée par : Cristina VIOLA Thesis supervisor / Thèse dirigée par : Prof. Imre BERGER Thesis prepared at / Thèse préparée au sein du European Molecular BIology Laboratory (EMBL) Grenoble Outstation In / dans : l'École Doctorale Chimie et Sciences du Vivantes Biochemical studies of human TBP-associated factor TAF2 and a TAF2-8-10 subcomplex of human general transcription factor TFIID. Thèse soutenue publiquement le 24 Octobre 2014 devant le jury composé de : Dr. Carlo PETOSA President/ Président Chef d'équipe, IBS Grenoble, France Prof. Andreas LADURNER Reviewer/ Rapporteur Professor, LMU Munchen, Allemagne Dr. Christophe ROMIER Reviewer/ Rapporteur Chef d'équipe, IGBMC Strasbourg, France Prof. Imre BERGER Directeur de Thèse Chef d'équipe, EMBL Grenoble, France Université Joseph Fourier / Université Pierre Mendès France / 1 Université Stendhal / Université de Savoie / Grenoble INP Table of Contents 1. Introduction ....................................................................................................................... 6 1.1. Eukaryotic Transcription, TFIID and the pre-initiation complex .................................. 10 1.2. Basal transcription, the core promoter and TFIID ........................................................... 11 1.2.1. Initiator element .............................................................................................................. 12 1.3. TSM-1 becomes TAF2(TFII150) a bona fide TAF conserved from Yeast to Humans .. 14 1.3.1. TAF2 core promoter INR recognition ............................................................................ 16 1.3.2. TAF2 in TFIID ................................................................................................................ 16 1.3.3. Domain Structure of TAF2 ............................................................................................. 17 1.4. Structural studies of TFIID ................................................................................................. 18 1.4.1. Structural analysis of TAFs ............................................................................................ 18 1.5. Production of TAF samples for functional and structural studies .................................. 18 1.5.1. Purification of native TAFs ............................................................................................ 18 1.5.2. Production of recombinant TAFs for structural and functional studies .......................... 19 1.6. Publications ........................................................................................................................... 21 1.6.1. Publication 1 ................................................................................................................... 21 1.6.2. Publication 2 ................................................................................................................... 37 1.6.3. Publication 3 ................................................................................................................... 49 2. Materials and methods ................................................................................................... 65 2.1. Materials ................................................................................................................................ 65 2.1.1. Chemicals ........................................................................................................................ 65 2.1.2. Enzymes and Antibodies ................................................................................................. 66 2.1.3. Plasmids .......................................................................................................................... 66 2.1.4. Oligonucleotides ............................................................................................................. 67 2.1.5. Cell Lines ........................................................................................................................ 67 2.1.6. Bacterial strains ............................................................................................................... 68 2 2.1.7. Crystallization Screens .................................................................................................... 68 2.1.8. Software and programs ................................................................................................... 68 2.2. Methods ................................................................................................................................. 69 2.3. Nucleic acid biochemistry .................................................................................................... 69 2.3.1. Concentration determination of nucleic acids ................................................................. 69 2.3.2. Preparation of plasmid DNA .......................................................................................... 69 2.3.3. Agarose gel electrophoresis ............................................................................................ 69 2.3.4. Restriction digestion of DNA ......................................................................................... 70 2.3.5. Polymerase chain reaction (PCR) ................................................................................... 70 2.3.6. DNA ligation ................................................................................................................... 70 2.3.7. DNA extraction from agarose gels ................................................................................. 71 2.3.8. DNA Sequencing ............................................................................................................ 71 2.4. General cloning strategies .................................................................................................... 71 2.4.1. Cloning TAF2 constructs ................................................................................................ 71 2.4.2. Cloning TAF8 constructs ................................................................................................ 74 2.4.3. Cloning TAF2-8-10 ........................................................................................................ 74 2.4.4. Overlap extension PCR ................................................................................................... 76 2.4.5. Sequence and ligation independent cloning .................................................................... 77 2.5. Protein production techniques ............................................................................................ 78 2.5.1. Baculovirus production and protein expression in insect cells ....................................... 78 2.5.2. Protein expression in E. coli ........................................................................................... 80 2.5.3. Purification of His-tagged protein from E. coli cytosolic fraction ................................. 80 2.5.4. Purification of TAF2 constructs and TAF2-8-10 complex from Sf21 lysate ................. 81 2.5.5. Expression of [ 13 C, 15 N]-labeled MBP-TAF8 C-terminal constructs ............................. 82 2.6. Protein Biochemistry and biochemical methods ............................................................... 82 2.6.1. Denaturing polyacrylamide gel electrophoresis (SDS-PAGE) ....................................... 82 2.6.2. Limited proteolysis ......................................................................................................... 83 2.6.3. Electrospray ionization mass spectrometry ..................................................................... 83 3 2.6.4. Edman sequencing .......................................................................................................... 84 2.6.5. Binding experiments using a peptide array ..................................................................... 84 2.7. Cells and cell culture ............................................................................................................ 85 2.7.1. Cultivation of E. coli cells .............................................................................................. 85 2.7.2. Transformation of chemically competent bacteria .........................................................
Load more

Recommended publications
  • Analysis of Gene Expression Data for Gene Ontology
    ANALYSIS OF GENE EXPRESSION DATA FOR GENE ONTOLOGY BASED PROTEIN FUNCTION PREDICTION A Thesis Presented to The Graduate Faculty of The University of Akron In Partial Fulfillment of the Requirements for the Degree Master of Science Robert Daniel Macholan May 2011 ANALYSIS OF GENE EXPRESSION DATA FOR GENE ONTOLOGY BASED PROTEIN FUNCTION PREDICTION Robert Daniel Macholan Thesis Approved: Accepted: _______________________________ _______________________________ Advisor Department Chair Dr. Zhong-Hui Duan Dr. Chien-Chung Chan _______________________________ _______________________________ Committee Member Dean of the College Dr. Chien-Chung Chan Dr. Chand K. Midha _______________________________ _______________________________ Committee Member Dean of the Graduate School Dr. Yingcai Xiao Dr. George R. Newkome _______________________________ Date ii ABSTRACT A tremendous increase in genomic data has encouraged biologists to turn to bioinformatics in order to assist in its interpretation and processing. One of the present challenges that need to be overcome in order to understand this data more completely is the development of a reliable method to accurately predict the function of a protein from its genomic information. This study focuses on developing an effective algorithm for protein function prediction. The algorithm is based on proteins that have similar expression patterns. The similarity of the expression data is determined using a novel measure, the slope matrix. The slope matrix introduces a normalized method for the comparison of expression levels throughout a proteome. The algorithm is tested using real microarray gene expression data. Their functions are characterized using gene ontology annotations. The results of the case study indicate the protein function prediction algorithm developed is comparable to the prediction algorithms that are based on the annotations of homologous proteins.
    [Show full text]
  • Characterization of Genomic Copy Number Variation in Mus Musculus Associated with the Germline of Inbred and Wild Mouse Populations, Normal Development, and Cancer
    Western University Scholarship@Western Electronic Thesis and Dissertation Repository 4-18-2019 2:00 PM Characterization of genomic copy number variation in Mus musculus associated with the germline of inbred and wild mouse populations, normal development, and cancer Maja Milojevic The University of Western Ontario Supervisor Hill, Kathleen A. The University of Western Ontario Graduate Program in Biology A thesis submitted in partial fulfillment of the equirr ements for the degree in Doctor of Philosophy © Maja Milojevic 2019 Follow this and additional works at: https://ir.lib.uwo.ca/etd Part of the Genetics and Genomics Commons Recommended Citation Milojevic, Maja, "Characterization of genomic copy number variation in Mus musculus associated with the germline of inbred and wild mouse populations, normal development, and cancer" (2019). Electronic Thesis and Dissertation Repository. 6146. https://ir.lib.uwo.ca/etd/6146 This Dissertation/Thesis is brought to you for free and open access by Scholarship@Western. It has been accepted for inclusion in Electronic Thesis and Dissertation Repository by an authorized administrator of Scholarship@Western. For more information, please contact [email protected]. Abstract Mus musculus is a human commensal species and an important model of human development and disease with a need for approaches to determine the contribution of copy number variants (CNVs) to genetic variation in laboratory and wild mice, and arising with normal mouse development and disease. Here, the Mouse Diversity Genotyping array (MDGA)-approach to CNV detection is developed to characterize CNV differences between laboratory and wild mice, between multiple normal tissues of the same mouse, and between primary mammary gland tumours and metastatic lung tissue.
    [Show full text]
  • 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.
    [Show full text]
  • A Molecular and Genetic Analysis of Otosclerosis
    A molecular and genetic analysis of otosclerosis Joanna Lauren Ziff Submitted for the degree of PhD University College London January 2014 1 Declaration I, Joanna Ziff, confirm that the work presented in this thesis is my own. Where information has been derived from other sources, I confirm that this has been indicated in the thesis. Where work has been conducted by other members of our laboratory, this has been indicated by an appropriate reference. 2 Abstract Otosclerosis is a common form of conductive hearing loss. It is characterised by abnormal bone remodelling within the otic capsule, leading to formation of sclerotic lesions of the temporal bone. Encroachment of these lesions on to the footplate of the stapes in the middle ear leads to stapes fixation and subsequent conductive hearing loss. The hereditary nature of otosclerosis has long been recognised due to its recurrence within families, but its genetic aetiology is yet to be characterised. Although many familial linkage studies and candidate gene association studies to investigate the genetic nature of otosclerosis have been performed in recent years, progress in identifying disease causing genes has been slow. This is largely due to the highly heterogeneous nature of this condition. The research presented in this thesis examines the molecular and genetic basis of otosclerosis using two next generation sequencing technologies; RNA-sequencing and Whole Exome Sequencing. RNA–sequencing has provided human stapes transcriptomes for healthy and diseased stapes, and in combination with pathway analysis has helped identify genes and molecular processes dysregulated in otosclerotic tissue. Whole Exome Sequencing has been employed to investigate rare variants that segregate with otosclerosis in affected families, and has been followed by a variant filtering strategy, which has prioritised genes found to be dysregulated during RNA-sequencing.
    [Show full text]
  • A Clinicopathological and Molecular Genetic Analysis of Low-Grade Glioma in Adults
    A CLINICOPATHOLOGICAL AND MOLECULAR GENETIC ANALYSIS OF LOW-GRADE GLIOMA IN ADULTS Presented by ANUSHREE SINGH MSc A thesis submitted in partial fulfilment of the requirements of the University of Wolverhampton for the degree of Doctor of Philosophy Brain Tumour Research Centre Research Institute in Healthcare Sciences Faculty of Science and Engineering University of Wolverhampton November 2014 i DECLARATION This work or any part thereof has not previously been presented in any form to the University or to any other body whether for the purposes of assessment, publication or for any other purpose (unless otherwise indicated). Save for any express acknowledgments, references and/or bibliographies cited in the work, I confirm that the intellectual content of the work is the result of my own efforts and of no other person. The right of Anushree Singh to be identified as author of this work is asserted in accordance with ss.77 and 78 of the Copyright, Designs and Patents Act 1988. At this date copyright is owned by the author. Signature: Anushree Date: 30th November 2014 ii ABSTRACT The aim of the study was to identify molecular markers that can determine progression of low grade glioma. This was done using various approaches such as IDH1 and IDH2 mutation analysis, MGMT methylation analysis, copy number analysis using array comparative genomic hybridisation and identification of differentially expressed miRNAs using miRNA microarray analysis. IDH1 mutation was present at a frequency of 71% in low grade glioma and was identified as an independent marker for improved OS in a multivariate analysis, which confirms the previous findings in low grade glioma studies.
    [Show full text]
  • Regulation of Neuronal Gene Expression and Survival by Basal NMDA Receptor Activity: a Role for Histone Deacetylase 4
    The Journal of Neuroscience, November 12, 2014 • 34(46):15327–15339 • 15327 Cellular/Molecular Regulation of Neuronal Gene Expression and Survival by Basal NMDA Receptor Activity: A Role for Histone Deacetylase 4 Yelin Chen,1 Yuanyuan Wang,1 Zora Modrusan,3 Morgan Sheng,1 and Joshua S. Kaminker1,2 Departments of 1Neuroscience, 2Bioinformatics and Computational Biology, and 3Molecular Biology, Genentech Inc., South San Francisco, California 94080 Neuronal gene expression is modulated by activity via calcium-permeable receptors such as NMDA receptors (NMDARs). While gene expression changes downstream of evoked NMDAR activity have been well studied, much less is known about gene expression changes that occur under conditions of basal neuronal activity. In mouse dissociated hippocampal neuronal cultures, we found that a broad NMDAR antagonist, AP5, induced robust gene expression changes under basal activity, but subtype-specific antagonists did not. While some of the gene expression changes are also known to be downstream of stimulated NMDAR activity, others appear specific to basal NMDARactivity.ThegenesalteredbyAP5treatmentofbasalcultureswereenrichedforpathwaysrelatedtoclassIIahistonedeacetylases (HDACs), apoptosis, and synapse-related signaling. Specifically, AP5 altered the expression of all three class IIa HDACs that are highly expressed in the brain, HDAC4, HDAC5, and HDAC9, and also induced nuclear accumulation of HDAC4. HDAC4 knockdown abolished a subset of the gene expression changes induced by AP5, and led to neuronal death under
    [Show full text]
  • The Function of TAF10 Proteins in Drosophila Melanogaster
    The function of dTAF10 proteins in Drosophila melanogaster Zoltán Gábor Páhi Ph.D. thesis summary Supervisors: Imre Miklós Boros Ph.D, D.Sc. Head of the Department Tibor Pankotai Ph.D. Assistant Professor Ph.D. School of Biology University of Szeged Faculty of Science and Informatics Department of Biochemistry and Molecular Biology Szeged 2017 1. Introduction As a first step of eukaryotic transcription initiation, the general transcription factor TFIID binds to the promoter region of transcribed genes. TFIID is a multiprotein complex consisting of TBP, which binds to the TATA box region, and several TAF proteins, which associate with TBP. TFIID is evolutionary well- conserved in human and Drosophila cells and it consists of double copies of five TAFs (TAF4, TAF5, TAF6, TAF9 and TAF12), which together create a two-fold symmetric structure. Then TAF8-TAF10 heterodimer joins to this complex and induces conformational changes by abolishing the two-fold symmetry. Further peripheral TAF proteins and TBP bind to the 7 TAF containing TFIID core, forming the functional complex. TAF proteins, however are parts not only the TBP, but the histone acetyl transferase (HAT) SAGA complex, as well. Drosophila dSAGA acetylates histone proteins by transferring acetyl groups from acetyl-coenzyme A to lysine side chains. The HAT enzyme of dSAGA is dGCN5, which on the other hand is also present in another histone acetyltransferase complex as well, that is designated as dATAC in Drosophila. Curiously, while dSAGA and dATAC complexes have very similar HAT modules, in which they share common subunits, such as dGCN5, dSGF29 and dADA3, they regulate different 1 biological processes.
    [Show full text]
  • Molecular Structure of Promoter-Bound Yeast TFIID
    ARTICLE DOI: 10.1038/s41467-018-07096-y OPEN Molecular structure of promoter-bound yeast TFIID Olga Kolesnikova 1,2,3,4, Adam Ben-Shem1,2,3,4, Jie Luo5, Jeff Ranish 5, Patrick Schultz 1,2,3,4 & Gabor Papai 1,2,3,4 Transcription preinitiation complex assembly on the promoters of protein encoding genes is nucleated in vivo by TFIID composed of the TATA-box Binding Protein (TBP) and 13 TBP- associate factors (Tafs) providing regulatory and chromatin binding functions. Here we present the cryo-electron microscopy structure of promoter-bound yeast TFIID at a resolu- 1234567890():,; tion better than 5 Å, except for a flexible domain. We position the crystal structures of several subunits and, in combination with cross-linking studies, describe the quaternary organization of TFIID. The compact tri lobed architecture is stabilized by a topologically closed Taf5-Taf6 tetramer. We confirm the unique subunit stoichiometry prevailing in TFIID and uncover a hexameric arrangement of Tafs containing a histone fold domain in the Twin lobe. 1 Department of Integrated Structural Biology, Equipe labellisée Ligue Contre le Cancer, Institut de Génétique et de Biologie Moléculaire et Cellulaire, Illkirch 67404, France. 2 Centre National de la Recherche Scientifique, UMR7104, 67404 Illkirch, France. 3 Institut National de la Santé et de la Recherche Médicale, U1258, 67404 Illkirch, France. 4 Université de Strasbourg, Illkirch 67404, France. 5 Institute for Systems Biology, Seattle, WA 98109, USA. These authors contributed equally: Olga Kolesnikova, Adam Ben-Shem. Correspondence and requests for materials should be addressed to P.S. (email: [email protected]) or to G.P.
    [Show full text]
  • 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
    [Show full text]
  • Aneuploidy: Using Genetic Instability to Preserve a Haploid Genome?
    Health Science Campus FINAL APPROVAL OF DISSERTATION Doctor of Philosophy in Biomedical Science (Cancer Biology) Aneuploidy: Using genetic instability to preserve a haploid genome? Submitted by: Ramona Ramdath In partial fulfillment of the requirements for the degree of Doctor of Philosophy in Biomedical Science Examination Committee Signature/Date Major Advisor: David Allison, M.D., Ph.D. Academic James Trempe, Ph.D. Advisory Committee: David Giovanucci, Ph.D. Randall Ruch, Ph.D. Ronald Mellgren, Ph.D. Senior Associate Dean College of Graduate Studies Michael S. Bisesi, Ph.D. Date of Defense: April 10, 2009 Aneuploidy: Using genetic instability to preserve a haploid genome? Ramona Ramdath University of Toledo, Health Science Campus 2009 Dedication I dedicate this dissertation to my grandfather who died of lung cancer two years ago, but who always instilled in us the value and importance of education. And to my mom and sister, both of whom have been pillars of support and stimulating conversations. To my sister, Rehanna, especially- I hope this inspires you to achieve all that you want to in life, academically and otherwise. ii Acknowledgements As we go through these academic journeys, there are so many along the way that make an impact not only on our work, but on our lives as well, and I would like to say a heartfelt thank you to all of those people: My Committee members- Dr. James Trempe, Dr. David Giovanucchi, Dr. Ronald Mellgren and Dr. Randall Ruch for their guidance, suggestions, support and confidence in me. My major advisor- Dr. David Allison, for his constructive criticism and positive reinforcement.
    [Show full text]
  • A Genome-Wide Rnai Screen for Modifiers of Polyglutamine-Induced Neurotoxicity in Drosophila
    A Genome-Wide RNAi Screen for Modifiers of Polyglutamine-Induced Neurotoxicity in Drosophila Doctoral Thesis In partial fulfilment of the requirements for the degree “Doctor rerum naturalium (Dr. rer. nat.)” in the Molecular Medicine Study Programme at the Georg-August University Göttingen submitted by Hannes Voßfeldt born in Zerbst/Anhalt, Germany Göttingen, January 2012 FÜR MEINE FAMILIE - IM GEDENKEN AN NADINE DU FEHLST. … IT MATTERS NOT HOW STRAIT THE GATE, HOW CHARGED WITH PUNISHMENTS THE SCROLL, I AM THE MASTER OF MY FATE: I AM THE CAPTAIN OF MY SOUL. … Invictus – William Ernest Henley Members of the Thesis Committee: Supervisor Prof. Dr. med. Jörg B. Schulz Head of Department of Neurology University Medical Centre RWTH Aachen University Pauwelsstrasse 30 52074 Aachen Second member of the Thesis Committee Prof. Dr. rer. nat. Ernst A. Wimmer Head of Department of Developmental Biology Johann Friedrich Blumenbach Institute of Zoology and Anthropology Georg-August University Göttingen Justus-von-Liebig-Weg 11 37077 Göttingen Third member of the Thesis Committee Dr. rer. nat. Till Marquardt Research Group Developmental Neurobiology European Neuroscience Institute Göttingen Grisebachstrasse 5 37077 Göttingen Date of Disputation: 2 April 2012 Affidavit I hereby declare that my doctoral thesis entitled “A Genome-Wide RNAi Screen for Modifiers of Polyglutamine-Induced Neurotoxicity in Drosophila” has been written independently with no other sources and aids than quoted. Göttingen, January 2012 Hannes Voßfeldt LIST OF PUBLICATIONS IV List of Publications Parts of this work have already been published with authorisation of Prof. Jörg B. Schulz, Head of the Department of Neurology, University Medical Centre of the RWTH Aachen University, on behalf of the thesis committee.
    [Show full text]
  • Supplementary Table 3: Genes Only Influenced By
    Supplementary Table 3: Genes only influenced by X10 Illumina ID Gene ID Entrez Gene Name Fold change compared to vehicle 1810058M03RIK -1.104 2210008F06RIK 1.090 2310005E10RIK -1.175 2610016F04RIK 1.081 2610029K11RIK 1.130 381484 Gm5150 predicted gene 5150 -1.230 4833425P12RIK -1.127 4933412E12RIK -1.333 6030458P06RIK -1.131 6430550H21RIK 1.073 6530401D06RIK 1.229 9030607L17RIK -1.122 A330043C08RIK 1.113 A330043L12 1.054 A530092L01RIK -1.069 A630054D14 1.072 A630097D09RIK -1.102 AA409316 FAM83H family with sequence similarity 83, member H 1.142 AAAS AAAS achalasia, adrenocortical insufficiency, alacrimia 1.144 ACADL ACADL acyl-CoA dehydrogenase, long chain -1.135 ACOT1 ACOT1 acyl-CoA thioesterase 1 -1.191 ADAMTSL5 ADAMTSL5 ADAMTS-like 5 1.210 AFG3L2 AFG3L2 AFG3 ATPase family gene 3-like 2 (S. cerevisiae) 1.212 AI256775 RFESD Rieske (Fe-S) domain containing 1.134 Lipo1 (includes AI747699 others) lipase, member O2 -1.083 AKAP8L AKAP8L A kinase (PRKA) anchor protein 8-like -1.263 AKR7A5 -1.225 AMBP AMBP alpha-1-microglobulin/bikunin precursor 1.074 ANAPC2 ANAPC2 anaphase promoting complex subunit 2 -1.134 ANKRD1 ANKRD1 ankyrin repeat domain 1 (cardiac muscle) 1.314 APOA1 APOA1 apolipoprotein A-I -1.086 ARHGAP26 ARHGAP26 Rho GTPase activating protein 26 -1.083 ARL5A ARL5A ADP-ribosylation factor-like 5A -1.212 ARMC3 ARMC3 armadillo repeat containing 3 -1.077 ARPC5 ARPC5 actin related protein 2/3 complex, subunit 5, 16kDa -1.190 activating transcription factor 4 (tax-responsive enhancer element ATF4 ATF4 B67) 1.481 AU014645 NCBP1 nuclear cap
    [Show full text]