LEO1 Is Regulated by PRL-3 and Mediates Its Oncogenic Properties in Acute Myelogenous Leukemia
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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. -
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. -
I STRUCTURAL and FUNCTIONAL CHARACTERIZATION of RTF1
STRUCTURAL AND FUNCTIONAL CHARACTERIZATION OF RTF1 AND INSIGHT INTO ITS ROLE IN TRANSCRIPTIONAL REGULATION by Adam Douglas Wier B.S., Molecular Biology and Biochemistry, Lebanon Valley College, 2009 Submitted to the Graduate Faculty of the Kenneth P. Dietrich School of Arts and Sciences in partial fulfillment of the requirements for the degree of Doctor of Philosophy University of Pittsburgh 2014 i UNIVERSITY OF PITTSBURGH KENNETH P. DIETRICH SCHOOL OF ARTS AND SCIENCES This dissertation was presented by Adam D. Wier It was defended on August 20, 2014 and approved by James M. Pipas, Ph.D., Professor, Biological Sciences Karen M. Arndt, Ph.D., Professor, Biological Sciences John M Rosenberg, Ph.D., Professor, Biological Sciences Martin C. Schmidt, Ph.D., Associate Professor, Microbiology and Molecular Genetics Committee Chair: Andrew P. VanDemark, Ph.D., Associate Professor, Biological Sciences ii Copyright © by Adam D. Wier 2014 iii STRUCTURAL AND FUNCTIONAL CHARACTERIZATION OF RTF1 AND INSIGHT INTO ITS ROLE IN TRANSCRIPTIONAL REGULATION Adam D. Wier, PhD University of Pittsburgh, 2014 Originally discovered in a search for RNA polymerase II-associated factors, the Paf1 complex (Paf1C) is best characterized for its roles in regulating transcription elongation. The complex co- localizes with RNA polymerase II from the promoter to the 3’ end of genes and has been linked to a growing list of transcription-related processes including: elongation through chromatin, histone modifications, and recruitment of factors important in transcript maturation. The complex is conserved throughout eukaryotes and is comprised of the proteins Paf1, Ctr9, Cdc73, Rtf1, and Leo1. The domain structures of Paf1C subunits are largely undefined and have few clear homologs, making it difficult to postulate for or localize functions to the individual subunits. -
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. -
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. -
Human RNA Polymerase II-Associated Factor Complex: Dysregulation in Cancer
Oncogene (2007) 26, 7499–7507 & 2007 Nature Publishing Group All rights reserved 0950-9232/07 $30.00 www.nature.com/onc REVIEW Human RNA polymerase II-associated factor complex: dysregulation in cancer K Chaudhary1,3, S Deb1,3, N Moniaux1, MP Ponnusamy1 and SK Batra1,2 1Department of Biochemistry and Molecular Biology, University of Nebraska Medical Center, Omaha, NE, USA and 2Eppley Institute for Research in Cancer and Allied Diseases, University of Nebraska Medical Center, Omaha, NE, USA Genetic instabilities are believed to be one of the major Keywords: PAF complex; transcription; tumor suppressor causes of developing a cancer phenotype in humans. genes; Wnt signaling During the progression of cancer, aberrant expression of proteins, either owing to genetic (amplification, mutation and deletion) or epigenetic modifications (DNA methyla- tion and histone deacetylation), contributes in different ways to the development of cancer. By differential Introduction screening analysis, an amplification of the 19q13 locus containing a novel pancreatic differentiation 2 (PD2) gene The dysregulation of critical genes is the crux of cancer was identified. PD2 is the human homolog of the yeast development and progression. This results in activation RNA polymerase II-associated factor 1 (yPaf1) and is of proto-oncogenes, inactivation of antioncogenes and part of the human RNA polymerase II-associated factor chromosomal instability (Batra et al., 1994; Vogelstein (hPAF) complex. hPAF is comprised of five subunits that and Kinzler, 2004). Genetic and epigenetic alterations include PD2/hPaf1, parafibromin, hLeo1, hCtr9 and lead to losses of or abnormal function of genes affecting hSki8. This multifaceted complex was first identified in processes that maintain or regulate orderly normal cell yeast (yPAF) and subsequently in Drosophila and human. -
PAF1 Complex Component Leo1 Helps Recruit Drosophila Myc to Promoters
PAF1 complex component Leo1 helps recruit PNAS PLUS Drosophila Myc to promoters Jennifer M. Gerlacha, Michael Furrerb, Maria Gallanta, Dirk Birkela, Apoorva Baluapuria, Elmar Wolfa, and Peter Gallanta,c,1 aDepartment of Biochemistry and Molecular Biology, Biocenter, University of Würzburg, 97074 Würzburg, Germany; bZoological Institute, University of Zürich, 8057 Zürich, Switzerland; and cComprehensive Cancer Center Mainfranken, 97078 Würzburg, Germany Edited by Robert N. Eisenman, Fred Hutchinson Cancer Research Center, Seattle, WA, and approved September 11, 2017 (received for review April 7, 2017) The Myc oncogene is a transcription factor with a powerful grip on We decided to search for molecular partners that contribute to cellular growth and proliferation. The physical interaction of Myc Myc’s recruitment to DNA and/or mediate transactivation by with the E-box DNA motif has been extensively characterized, but it Myc, using Drosophila as a model system. Fruit flies contain a is less clear whether this sequence-specific interaction is sufficient for single Myc protein that primarily controls cellular and organis- Myc’s binding to its transcriptional targets. Here we identify the mal growth (reviewed in ref. 30). Like its vertebrate homologs, PAF1 complex, and specifically its component Leo1, as a factor that Drosophila Myc functions by dimerizing with Max and binding to helps recruit Myc to target genes. Since the PAF1 complex is typically target genes. Most of the directly Myc-activated genes control associated with active genes, this interaction with Leo1 contributes ribosome biogenesis and function. This is consistent with Myc’s to Myc targeting to open promoters. biological properties in flies and also with the described targets of vertebrate Myc proteins expressed at physiological levels (e.g., Drosophila | Myc | transcription | growth | PAF1 refs. -
A CSB-PAF1C Axis Restores Processive Transcription Elongation After DNA Damage Repair
bioRxiv preprint doi: https://doi.org/10.1101/2020.01.04.894808; this version posted January 5, 2020. The copyright holder for this preprint (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission. 1 Van den Heuvel et al. The PAF1 complex regulates transcription recovery after UV A CSB-PAF1C axis restores processive transcription elongation after DNA damage repair Diana van den Heuvel1, Cornelia G. Spruijt2,3*, Román González-Prieto4*, Angela Kragten1, Michelle T. Paulsen5, Di Zhou6, Haoyu Wu1, Katja Apelt1, Yana van der Weegen1, Kevin Yang5,7, Madelon Dijk1, Lucia Daxinger1, Jurgen A. Marteijn6, Alfred C.O. Vertegaal4, Mats Ljungman5,8, Michiel Vermeulen2, and Martijn S. Luijsterburg1# 1 Department of Human Genetics, Leiden University Medical Center, Leiden, The Netherlands 2 Radboud Institute for Molecular Life Sciences, Oncode Institute, Radboud University Nijmegen, The Netherlands 3 Prinses Maxima Center, Utrecht, The Netherlands 4 Department of Cell and Chemical Biology, Leiden University Medical Center, Leiden, The Netherlands Netherlands 5 Department of Radiation Oncology, University of Michigan, Ann Arbor, MI, USA 6 Department of Molecular Genetics, Oncode Institute, Erasmus MC, Rotterdam, The Netherlands, The Netherlands 7 Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI, USA 8 Department of Environmental Health Sciences, University of Michigan, Ann Arbor, MI, USA * Equal contribution # Corresponding author: [email protected] bioRxiv preprint doi: https://doi.org/10.1101/2020.01.04.894808; this version posted January 5, 2020. The copyright holder for this preprint (which was not certified by peer review) is the author/funder.