I STRUCTURAL and FUNCTIONAL CHARACTERIZATION of RTF1
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Architecture of the RNA Polymerase II-Paf1c-TFIIS Transcription Elongation Complex
Dissertation zur Erlangung des Doktorgrades der Fakultät für Chemie und Pharmazie der Ludwig-Maximilians-Universität München Architecture of the RNA polymerase II- Paf1C-TFIIS transcription elongation complex Youwei Xu aus Gaoyou, Jiangsu Provinz, P.R.China 2016 Dissertation zur Erlangung des Doktorgrades der Fakultät für Chemie und Pharmazie der Ludwig-Maximilians-Universität München Architecture of the RNA polymerase II- Paf1C-TFIIS transcription elongation complex Youwei Xu aus Gaoyou, Jiangsu Provinz, P.R.China 2016 Erklärung Diese Dissertation wurde im Sinne von § 7 der Promotionsordnung vom 28. November 2011 von Herrn Prof. Dr. Patrick Cramer betreut. Eidesstattliche Versicherung Diese Dissertation wurde eigenständig und ohne unerlaubte Hilfe erarbeitet. Göttingen, den 28.11.2016 Youwei Xu Dissertation eingereicht am 01.12.2016 1. Gutachter: Prof. Dr. Patrick Cramer 2. Gutachter: PD Dr. Dietmar Martin Mündliche Prüfung am 25.01.2017 "My apologies to great questions for small answers." - Wislawa Szymborska Acknowledgements Firstly, I would like to express my sincere gratitude to Patrick Cramer for giving me such a great opportunity to study in this lab. This is an excellent lab circumstanced by outstanding scientific atmosphere. I still remember that you asked me whether I had further questions for you at the end of our interview via the phone, I asked how about the weather in Munich. I feel very lucky being your student. You always gave me fantastic suggestions, sufficient support, and enough patience. I learned a lot from you, and your enthusiasm for science and life inspires me. I am most indebted to my past and present colleagues of the Cramer group from Munich and Göttingen for the great assistance, stimulating discussions, advice, encouragement, and joyful life, especially the following people: Carrie Bernecky, Christoph Engel, Simon Neyer, Christian Dienemann, Clemens Plaschka, Sarah Sainsbury, Merle Hantsche, Anna Sawicka, Jinmi Choi, Carina Demel, Margaux Michel, Tobias Gubbey, Dimitry Tengunov, and Sara Osman. -
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. -
Identification of the Binding Partners for Hspb2 and Cryab Reveals
Brigham Young University BYU ScholarsArchive Theses and Dissertations 2013-12-12 Identification of the Binding arP tners for HspB2 and CryAB Reveals Myofibril and Mitochondrial Protein Interactions and Non- Redundant Roles for Small Heat Shock Proteins Kelsey Murphey Langston Brigham Young University - Provo Follow this and additional works at: https://scholarsarchive.byu.edu/etd Part of the Microbiology Commons BYU ScholarsArchive Citation Langston, Kelsey Murphey, "Identification of the Binding Partners for HspB2 and CryAB Reveals Myofibril and Mitochondrial Protein Interactions and Non-Redundant Roles for Small Heat Shock Proteins" (2013). Theses and Dissertations. 3822. https://scholarsarchive.byu.edu/etd/3822 This Thesis is brought to you for free and open access by BYU ScholarsArchive. It has been accepted for inclusion in Theses and Dissertations by an authorized administrator of BYU ScholarsArchive. For more information, please contact [email protected], [email protected]. Identification of the Binding Partners for HspB2 and CryAB Reveals Myofibril and Mitochondrial Protein Interactions and Non-Redundant Roles for Small Heat Shock Proteins Kelsey Langston A thesis submitted to the faculty of Brigham Young University in partial fulfillment of the requirements for the degree of Master of Science Julianne H. Grose, Chair William R. McCleary Brian Poole Department of Microbiology and Molecular Biology Brigham Young University December 2013 Copyright © 2013 Kelsey Langston All Rights Reserved ABSTRACT Identification of the Binding Partners for HspB2 and CryAB Reveals Myofibril and Mitochondrial Protein Interactors and Non-Redundant Roles for Small Heat Shock Proteins Kelsey Langston Department of Microbiology and Molecular Biology, BYU Master of Science Small Heat Shock Proteins (sHSP) are molecular chaperones that play protective roles in cell survival and have been shown to possess chaperone activity. -
Atlas Journal
Atlas of Genetics and Cytogenetics in Oncology and Haematology Home Genes Leukemias Tumors Cancer prone Deep Insight Case Reports Portal Journals Teaching X Y 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 NA Atlas Journal Atlas Journal versus Atlas Database: the accumulation of the issues of the Journal constitutes the body of the Database/Text-Book. TABLE OF CONTENTS Volume 13, Number 7, July 2009 Previous Issue / Next Issue Genes ABL1 (v-abl Abelson murine leukemia viral oncogene homolog 1) (9q34.1) - updated. Ali G Turhan. Atlas Genet Cytogenet Oncol Haematol 2009; 13 (7): 757-766. [Full Text] [PDF] URL : http://atlasgeneticsoncology.org/Genes/ABL.html BCL2L12 (BCL2-like 12 (proline-rich)) (19q13.3). Christos Kontos, Hellinida Thomadaki, Andreas Scorilas. Atlas Genet Cytogenet Oncol Haematol 2009; 13 (7): 767-771. [Full Text] [PDF] URL : http://atlasgeneticsoncology.org/Genes/BCL2L12ID773ch19q13.html BCR (Breakpoint cluster region) (22q11.2) - updated. Ali G Turhan. Atlas Genet Cytogenet Oncol Haematol 2009; 13 (7): 772-779. [Full Text] [PDF] URL : http://atlasgeneticsoncology.org/Genes/BCR.html ENAH (enabled homolog (Drosophila)) (1q42.12). Paola Nisticò, Francesca Di Modugno. Atlas Genet Cytogenet Oncol Haematol 2009; 13 (7): 780-785. [Full Text] [PDF] URL : http://atlasgeneticsoncology.org/Genes/ENAHID44148ch1q42.html FGFR2 (fibroblast growth factor receptor 2) (10q26.13). Masaru Katoh. Atlas Genet Cytogenet Oncol Haematol 2009; 13 (7): 786-799. [Full Text] [PDF] URL : http://atlasgeneticsoncology.org/Genes/FGFR2ID40570ch10q26.html MAPK6 (mitogen-activated protein kinase 6) (15q21.2). Sylvain Meloche. Atlas Genet Cytogenet Oncol Haematol 2009; 13 (7): 800-804. -
Using Long Nanopore Reads to Delineate Structural Variants (Svs)
Using long nanopore reads to delineate structural variants (SVs) in the human genome SVs, including large deletions, duplications, inversions, translocations and copy-number changes are abundant in large genomes, and require long reads for precise characterisation Contact: [email protected] More information at: www.nanoporetech.com and publications.nanoporetech.com Unique Repeat Unique Repeat Unique a) b) a) b) sequence 1 1 sequence 2 2 sequence 3 1,000 60 Short reads Insertions Long A B C D E Reference chromosome 1 40 reads 800 Deletions > 50 bp Short-read assembly 20 Collapsed repeat consensus Unique contig 1 Long-read Bases sequenced (Mb) assembly 600 0 Unique contig 1 Unique contig 3 0 10 20 30 40 V W X Y Z Reference chromosome 2 Single, fully-resolved contig Count Read length (kb) c) > 50 bp 400 chr7 (q33) 7p21.3 15.321.1 15.3 7p14.3 7p14.1 13 11.2 11.21 11.22 11.23 7q21.11 q21.3 7q22.1 7q31.1 7q33 7q34 7q35 36.1 36.3 Scale 50 kb hg38 chr7: 134,550,000 134,600,000 134,650,000 134,700,000 Inversion A D C B E GENCODE v24 comprehensive transcript set (only Basic displayed by default) 200 AKR1B10 AKR1B15 BGPM CALD1 AKR1B15 BGPM Deletion BGPM A B C E AC009276.4 Duplication A B C C C D E 0 1,000 10,000 20,000 30,000 Translocation V W C D E + A B X Y Z Event size (bp) Adapted from Huddleston, J. et al. Discovery and genotyping of structural variation from long-read haploid genome sequence data. -
A Yeast Phenomic Model for the Influence of Warburg Metabolism on Genetic Buffering of Doxorubicin Sean M
Santos and Hartman Cancer & Metabolism (2019) 7:9 https://doi.org/10.1186/s40170-019-0201-3 RESEARCH Open Access A yeast phenomic model for the influence of Warburg metabolism on genetic buffering of doxorubicin Sean M. Santos and John L. Hartman IV* Abstract Background: The influence of the Warburg phenomenon on chemotherapy response is unknown. Saccharomyces cerevisiae mimics the Warburg effect, repressing respiration in the presence of adequate glucose. Yeast phenomic experiments were conducted to assess potential influences of Warburg metabolism on gene-drug interaction underlying the cellular response to doxorubicin. Homologous genes from yeast phenomic and cancer pharmacogenomics data were analyzed to infer evolutionary conservation of gene-drug interaction and predict therapeutic relevance. Methods: Cell proliferation phenotypes (CPPs) of the yeast gene knockout/knockdown library were measured by quantitative high-throughput cell array phenotyping (Q-HTCP), treating with escalating doxorubicin concentrations under conditions of respiratory or glycolytic metabolism. Doxorubicin-gene interaction was quantified by departure of CPPs observed for the doxorubicin-treated mutant strain from that expected based on an interaction model. Recursive expectation-maximization clustering (REMc) and Gene Ontology (GO)-based analyses of interactions identified functional biological modules that differentially buffer or promote doxorubicin cytotoxicity with respect to Warburg metabolism. Yeast phenomic and cancer pharmacogenomics data were integrated to predict differential gene expression causally influencing doxorubicin anti-tumor efficacy. Results: Yeast compromised for genes functioning in chromatin organization, and several other cellular processes are more resistant to doxorubicin under glycolytic conditions. Thus, the Warburg transition appears to alleviate requirements for cellular functions that buffer doxorubicin cytotoxicity in a respiratory context. -
Atlas Journal
Atlas of Genetics and Cytogenetics in Oncology and Haematology Home Genes Leukemias Solid Tumours Cancer-Prone Deep Insight Portal Teaching X Y 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 NA Atlas Journal Atlas Journal versus Atlas Database: the accumulation of the issues of the Journal constitutes the body of the Database/Text-Book. TABLE OF CONTENTS Volume 12, Number 6, Nov-Dec 2008 Previous Issue / Next Issue Genes BCL8 (B-cell CLL/lymphoma 8) (15q11). Silvia Rasi, Gianluca Gaidano. Atlas Genet Cytogenet Oncol Haematol 2008; 12 (6): 781-784. [Full Text] [PDF] URL : http://atlasgeneticsoncology.org/Genes/BCL8ID781ch15q11.html CDC25A (Cell division cycle 25A) (3p21). Dipankar Ray, Hiroaki Kiyokawa. Atlas Genet Cytogenet Oncol Haematol 2008; 12 (6): 785-791. [Full Text] [PDF] URL : http://atlasgeneticsoncology.org/Genes/CDC25AID40004ch3p21.html CDC73 (cell division cycle 73, Paf1/RNA polymerase II complex component, homolog (S. cerevisiae)) (1q31.2). Leslie Farber, Bin Tean Teh. Atlas Genet Cytogenet Oncol Haematol 2008; 12 (6): 792-797. [Full Text] [PDF] URL : http://atlasgeneticsoncology.org/Genes/CDC73D181ch1q31.html EIF3C (eukaryotic translation initiation factor 3, subunit C) (16p11.2). Daniel R Scoles. Atlas Genet Cytogenet Oncol Haematol 2008; 12 (6): 798-802. [Full Text] [PDF] URL : http://atlasgeneticsoncology.org/Genes/EIF3CID44187ch16p11.html ELAC2 (elaC homolog 2 (E. coli)) (17p11.2). Yang Chen, Sean Tavtigian, Donna Shattuck. Atlas Genet Cytogenet Oncol Haematol 2008; 12 (6): 803-806. [Full Text] [PDF] URL : http://atlasgeneticsoncology.org/Genes/ELAC2ID40437ch17p11.html FOXM1 (forkhead box M1) (12p13). Jamila Laoukili, Monica Alvarez Fernandez, René H Medema. -
Dynamics of Transcription Elongation Are Finely Tuned by Dozens of Regulatory Factors
bioRxiv preprint doi: https://doi.org/10.1101/2021.08.15.456358; this version posted August 15, 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. Dynamics of transcription elongation are finely tuned by dozens of regulatory factors Mary Couvillion1*, Kevin M. Harlen1*, Kate C. Lachance1*, Kristine L. Trotta1, Erin Smith1, Christian Brion1, Brendan M. Smalec1, L. Stirling Churchman1 1Blavatnik Institute, Department of Genetics, Harvard Medical School, Boston, Massachusetts, USA 02115 *these authors contributed equally 1 bioRxiv preprint doi: https://doi.org/10.1101/2021.08.15.456358; this version posted August 15, 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 Understanding the complex network and dynamics that regulate transcription elongation requires the quantitative analysis of RNA polymerase II (Pol II) activity in a wide variety of regulatory environments. We performed native elongating transcript sequencing (NET-seq) in 41 strains of S. cerevisiae lacking known elongation regulators, including RNA processing factors, transcription elongation factors, chromatin modifiers, and remodelers. We found that the opposing effects of these factors balance transcription elongation dynamics. Different sets of factors tightly regulate Pol II progression across gene bodies so that Pol II density peaks at key points of RNA processing. -
The Phosphatase PRL-3 Is Involved in Key Steps of Cancer Metastasis
Review The Phosphatase PRL-3 Is Involved in Key Steps of Cancer Metastasis Laura Duciel 1,2,†, Luis Cristobal Monraz Gomez 3,4,5,†, Maria Kondratova 3,4,5, Inna Kuperstein 3,4,5 and Simon Saule 1,2, 1 - Institut Curie, PSL Research University, Centre National de La Recherche Scientifique (CNRS), Institut National de la Santé Et de la Recherche Médicale (INSERM), Unité Mixte de Recherche 3347 (UMR), Unité 1021, Orsay, France 2 - Université Paris Sud, Université Paris-Saclay Centre National de La Recherche Scientifique, Unité Mixte de Recherche 3347, Unité 1021, Orsay, France 3 - Institut Curie, PSL Research University, F-75005 @Paris, France 4 - INSERM, U900, F-75005 Paris, France 5 - MINES ParisTech, PSL Research University CBIO-Centre for Computational Biology, F-75006 Paris, France Correspondence to Inna Kuperstein and Simon Saule: U900 Institut Curie–INSERM–Mines ParisTech, Department of Bioinformatics and Computational Systems Biology of Cancer Institut Curie—26 rue d'Ulm, 75248 Paris Cedex 05, France. Institut Curie, Section Recherche, UMR3347/U1021, Campus Universitaire d'Orsay Bâtiment 110, 91405 Orsay Cedex. [email protected], http://www.curie.fr, http://u900.curie.fr, http://sysbio.curie.fr. https://doi.org/10.1016/j.jmb.2019.06.008 Abstract PRL-3 belongs to the PRL phosphatase family. Its physiological role remains unclear, but many studies have identified that PRL-3 is a marker of cancer progression and shown it to be associated with metastasis. Evidence implicating PRL-3 in various elements of the metastatic process, such as the cell cycle, survival, angiogenesis, adhesion, cytoskeleton remodeling, EMT, motility and invasion, has been reported. -
CPTC-RTF1-2 (CAB079947) Immunohistochemistry
CPTC-RTF1-2 (CAB079947) Uniprot ID: Q92541 Protein name: RTF1_HUMAN Full name: RNA polymerase-associated protein RTF1 homolog Function: Component of the PAF1 complex (PAF1C) which has multiple functions during transcription by RNA polymerase II and is implicated in regulation of development and maintenance of embryonic stem cell pluripotency. PAF1C associates with RNA polymerase II through interaction with POLR2A CTD non- phosphorylated and 'Ser-2'- and 'Ser-5'-phosphorylated forms and is involved in transcriptional elongation, acting both indepentently and synergistically with TCEA1 and in cooperation with the DSIF complex and HTATSF1. PAF1C is required for transcription of Hox and Wnt target genes. PAF1C is involved in hematopoiesis and stimulates transcriptional activity of KMT2A/MLL1; it promotes leukemogenesis through association with KMT2A/MLL1-rearranged oncoproteins, such as KMT2A/MLL1- MLLT3/AF9 and KMT2A/MLL1-MLLT1/ENL. PAF1C is involved in histone modifications such as ubiquitination of histone H2B and methylation on histone H3 'Lys-4' (H3K4me3). PAF1C recruits the RNF20/40 E3 ubiquitin-protein ligase complex and the E2 enzyme UBE2A or UBE2B to chromatin which mediate monoubiquitination of 'Lys-120' of histone H2B (H2BK120ub1); UB2A/B-mediated H2B ubiquitination is proposed to be coupled to transcription. PAF1C is involved in mRNA 3' end formation probably through association with cleavage and poly(A) factors. In case of infection by influenza A strain H3N2, PAF1C associates with viral NS1 protein, thereby regulating gene transcription. Binds single-stranded DNA. Required for maximal induction of heat-shock genes. Required for the trimethylation of histone H3 'Lys-4' (H3K4me3) on genes involved in stem cell pluripotency; this function is synergistic with CXXC1 indicative for an involvement of a SET1 complex (By similarity). -
The Nucleosome DNA Entry-Exit Site Is Important for Transcription Termination and Prevention of Pervasive Transcription
RESEARCH ARTICLE The nucleosome DNA entry-exit site is important for transcription termination and prevention of pervasive transcription A Elizabeth Hildreth†, Mitchell A Ellison†, Alex M Francette, Julia M Seraly, Lauren M Lotka, Karen M Arndt* Department of Biological Sciences, University of Pittsburgh, Pittsburgh, United States Abstract Compared to other stages in the RNA polymerase II transcription cycle, the role of chromatin in transcription termination is poorly understood. We performed a genetic screen in Saccharomyces cerevisiae to identify histone mutants that exhibit transcriptional readthrough of terminators. Amino acid substitutions identified by the screen map to the nucleosome DNA entry- exit site. The strongest H3 mutants revealed widespread genomic changes, including increased sense-strand transcription upstream and downstream of genes, increased antisense transcription overlapping gene bodies, and reduced nucleosome occupancy particularly at the 3’ ends of genes. Replacement of the native sequence downstream of a gene with a sequence that increases nucleosome occupancy in vivo reduced readthrough transcription and suppressed the effect of a DNA entry-exit site substitution. Our results suggest that nucleosomes can facilitate termination by serving as a barrier to transcription and highlight the importance of the DNA entry-exit site in broadly maintaining the integrity of the transcriptome. *For correspondence: [email protected] †These authors contributed Introduction equally to this work Packaging of the eukaryotic genome into chromatin presents a regulatory barrier to DNA templated processes. Nucleosomes, the fundamental repeating unit of chromatin, are comprised of approxi- Competing interests: The mately 147 bp of DNA surrounding an octamer of core histone proteins H2A, H2B, H3, and H4 authors declare that no (Luger et al., 1997). -
Whole Genome Sequencing of Familial Non-Medullary Thyroid Cancer Identifies Germline Alterations in MAPK/ERK and PI3K/AKT Signaling Pathways
Preprints (www.preprints.org) | NOT PEER-REVIEWED | Posted: 13 October 2019 doi:10.20944/preprints201910.0154.v1 Article Whole genome sequencing of familial non-medullary thyroid cancer identifies germline alterations in MAPK/ERK and PI3K/AKT signaling pathways Aayushi Srivastava 1,2,3,4, Abhishek Kumar 1,5,6, Sara Giangiobbe 1, Elena Bonora 7, Kari Hemminki 1, Asta Försti 1,2,3 and Obul Reddy Bandapalli 1,2,3,* 1 Division of Molecular Genetic Epidemiology, German Cancer Research Center (DKFZ), D-69120, Heidelberg, Germany; [email protected] (A.S.), [email protected] (A.K.); [email protected] (S.G.); [email protected] (K.H.); [email protected] (A.F.) 2 Hopp Children’s Cancer Center (KiTZ), D-69120, Heidelberg, Germany 3 Division of Pediatric Neurooncology, German Cancer Research Center (DKFZ), German Cancer Consortium (DKTK), D-69120, Heidelberg, Germany 4 Medical Faculty, Heidelberg University, D-69120, Heidelberg, Germany 5 Institute of Bioinformatics, International Technology Park, Bangalore, 560066, India 6 Manipal Academy of Higher Education (MAHE), Manipal, Karnataka, 576104, India 7 S.Orsola-Malphigi Hospital, Unit of Medical Genetics,40138, Bologna, Italy ; [email protected] * Correspondence: [email protected]; Tel.: +49-6221-42-1709 Abstract: Evidence of familial inheritance in non-medullary thyroid cancer (NMTC) has accumulated over the last few decades. However, known variants account for a very small percentage of the genetic burden. Here, we focused on the identification of common pathways and networks enriched in NMTC families to better understand its pathogenesis with the final aim of identifying one novel high/moderate-penetrance germline predisposition variant segregating with the disease in each studied family.