Genomic and Transcriptomic Investigation of Endemic Burkitt Lymphoma and Epstein Barr Virus
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Harnessing Gene Expression Profiles for the Identification of Ex Vivo Drug
cancers Article Harnessing Gene Expression Profiles for the Identification of Ex Vivo Drug Response Genes in Pediatric Acute Myeloid Leukemia David G.J. Cucchi 1 , Costa Bachas 1 , Marry M. van den Heuvel-Eibrink 2,3, Susan T.C.J.M. Arentsen-Peters 3, Zinia J. Kwidama 1, Gerrit J. Schuurhuis 1, Yehuda G. Assaraf 4, Valérie de Haas 3 , Gertjan J.L. Kaspers 3,5 and Jacqueline Cloos 1,* 1 Hematology, Cancer Center Amsterdam, Amsterdam UMC, Vrije Universiteit Amsterdam, 1081 HV Amsterdam, The Netherlands; [email protected] (D.G.J.C.); [email protected] (C.B.); [email protected] (Z.J.K.); [email protected] (G.J.S.) 2 Department of Pediatric Oncology/Hematology, Erasmus MC–Sophia Children’s Hospital, 3015 CN Rotterdam, The Netherlands; [email protected] 3 Princess Máxima Center for Pediatric Oncology, 3584 CS Utrecht, The Netherlands; [email protected] (S.T.C.J.M.A.-P.); [email protected] (V.d.H.); [email protected] (G.J.L.K.) 4 The Fred Wyszkowski Cancer Research, Laboratory, Department of Biology, Technion-Israel Institute of Technology, 3200003 Haifa, Israel; [email protected] 5 Emma’s Children’s Hospital, Amsterdam UMC, Vrije Universiteit Amsterdam, Pediatric Oncology, 1081 HV Amsterdam, The Netherlands * Correspondence: [email protected] Received: 21 April 2020; Accepted: 12 May 2020; Published: 15 May 2020 Abstract: Novel treatment strategies are of paramount importance to improve clinical outcomes in pediatric AML. Since chemotherapy is likely to remain the cornerstone of curative treatment of AML, insights in the molecular mechanisms that determine its cytotoxic effects could aid further treatment optimization. -
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Patterns of DNA methylation on the human X chromosome and use in analyzing X-chromosome inactivation by Allison Marie Cotton B.Sc., The University of Guelph, 2005 A THESIS SUBMITTED IN PARTIAL FULFILLMENT OF THE REQUIREMENTS FOR THE DEGREE OF DOCTOR OF PHILOSOPHY in The Faculty of Graduate Studies (Medical Genetics) THE UNIVERSITY OF BRITISH COLUMBIA (Vancouver) January 2012 © Allison Marie Cotton, 2012 Abstract The process of X-chromosome inactivation achieves dosage compensation between mammalian males and females. In females one X chromosome is transcriptionally silenced through a variety of epigenetic modifications including DNA methylation. Most X-linked genes are subject to X-chromosome inactivation and only expressed from the active X chromosome. On the inactive X chromosome, the CpG island promoters of genes subject to X-chromosome inactivation are methylated in their promoter regions, while genes which escape from X- chromosome inactivation have unmethylated CpG island promoters on both the active and inactive X chromosomes. The first objective of this thesis was to determine if the DNA methylation of CpG island promoters could be used to accurately predict X chromosome inactivation status. The second objective was to use DNA methylation to predict X-chromosome inactivation status in a variety of tissues. A comparison of blood, muscle, kidney and neural tissues revealed tissue-specific X-chromosome inactivation, in which 12% of genes escaped from X-chromosome inactivation in some, but not all, tissues. X-linked DNA methylation analysis of placental tissues predicted four times higher escape from X-chromosome inactivation than in any other tissue. Despite the hypomethylation of repetitive elements on both the X chromosome and the autosomes, no changes were detected in the frequency or intensity of placental Cot-1 holes. -
Ontology-Based Methods for Analyzing Life Science Data
Habilitation a` Diriger des Recherches pr´esent´ee par Olivier Dameron Ontology-based methods for analyzing life science data Soutenue publiquement le 11 janvier 2016 devant le jury compos´ede Anita Burgun Professeur, Universit´eRen´eDescartes Paris Examinatrice Marie-Dominique Devignes Charg´eede recherches CNRS, LORIA Nancy Examinatrice Michel Dumontier Associate professor, Stanford University USA Rapporteur Christine Froidevaux Professeur, Universit´eParis Sud Rapporteure Fabien Gandon Directeur de recherches, Inria Sophia-Antipolis Rapporteur Anne Siegel Directrice de recherches CNRS, IRISA Rennes Examinatrice Alexandre Termier Professeur, Universit´ede Rennes 1 Examinateur 2 Contents 1 Introduction 9 1.1 Context ......................................... 10 1.2 Challenges . 11 1.3 Summary of the contributions . 14 1.4 Organization of the manuscript . 18 2 Reasoning based on hierarchies 21 2.1 Principle......................................... 21 2.1.1 RDF for describing data . 21 2.1.2 RDFS for describing types . 24 2.1.3 RDFS entailments . 26 2.1.4 Typical uses of RDFS entailments in life science . 26 2.1.5 Synthesis . 30 2.2 Case study: integrating diseases and pathways . 31 2.2.1 Context . 31 2.2.2 Objective . 32 2.2.3 Linking pathways and diseases using GO, KO and SNOMED-CT . 32 2.2.4 Querying associated diseases and pathways . 33 2.3 Methodology: Web services composition . 39 2.3.1 Context . 39 2.3.2 Objective . 40 2.3.3 Semantic compatibility of services parameters . 40 2.3.4 Algorithm for pairing services parameters . 40 2.4 Application: ontology-based query expansion with GO2PUB . 43 2.4.1 Context . 43 2.4.2 Objective . -
PREDICTD: Parallel Epigenomics Data Imputation with Cloud-Based Tensor Decomposition
bioRxiv preprint doi: https://doi.org/10.1101/123927; this version posted April 4, 2017. 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-NC 4.0 International license. PREDICTD: PaRallel Epigenomics Data Imputation with Cloud-based Tensor Decomposition Timothy J. Durham Maxwell W. Libbrecht Department of Genome Sciences Department of Genome Sciences University of Washington University of Washington J. Jeffry Howbert Jeff Bilmes Department of Genome Sciences Department of Electrical Engineering University of Washington University of Washington William Stafford Noble Department of Genome Sciences Department of Computer Science and Engineering University of Washington April 4, 2017 Abstract The Encyclopedia of DNA Elements (ENCODE) and the Roadmap Epigenomics Project have produced thousands of data sets mapping the epigenome in hundreds of cell types. How- ever, the number of cell types remains too great to comprehensively map given current time and financial constraints. We present a method, PaRallel Epigenomics Data Imputation with Cloud-based Tensor Decomposition (PREDICTD), to address this issue by computationally im- puting missing experiments in collections of epigenomics experiments. PREDICTD leverages an intuitive and natural model called \tensor decomposition" to impute many experiments si- multaneously. Compared with the current state-of-the-art method, ChromImpute, PREDICTD produces lower overall mean squared error, and combining methods yields further improvement. We show that PREDICTD data can be used to investigate enhancer biology at non-coding human accelerated regions. PREDICTD provides reference imputed data sets and open-source software for investigating new cell types, and demonstrates the utility of tensor decomposition and cloud computing, two technologies increasingly applicable in bioinformatics. -
Tesislzingaretti13junio2016 (1).Pdf (10.14Mb)
UNIVERSIDAD NACIONAL DE CORDOBA´ MAESTR´IA EN ESTAD´ISTICA APLICADA INTEGRACION´ DE DATOS DE EXPRESION´ GENICA´ ASOCIADOS A L´INEAS CELULARES DE CANCERES:´ UN ENFOQUE UTILIZANDO LA METODOLOG´IA STATIS-ACT, METODOS´ BIPLOT Y MINER´IA DE TEXTO Prof. Mar´ıaLaura Zingaretti Junio-2016 Director: Prof. Dr. Jhonny Rafael Demey Co-Director: Prof. Dr. Julio Alejandro Di Rienzo INTEGRACiON DE DATOS DE EXPRESION GENICA ASOCIADOS A LINEAS CELULARES DE CANCERES: UN ENFOQUE UTILIZANDO LA METODOLOGIA STATIS-ACT, METODOS BIPLOT Y MINERIA DE TEXTO por Zingaretti, María Laura se distribuye bajo una Licencia Creative Commons Atribución – No Comercial – Sin Obra Derivada 4.0 Internacional. Agradecimientos Al director de este trabajo, el Prof. Dr. Jhonny Demey por su confianza y gu´ıaconstantes, por su paciencia y su infinita generosidad para ense~narme y especialmente, por transmitirme la pasi´onpor esta disciplina. Al Dr. Julio Di Rienzo por su confianza y por sus orientaciones, tanto en la realizaci´onde este trabajo como en los cursos de la maestr´ıa. Al Dr. Crist´obalFresno porque siempre ha estado para ayudarme. A todo el cuerpo de profesores y trabajadores no docentes de la Maestr´ıaen Estad´ısticaAplicada por su dedicaci´onconstante. A la Universidad Nacional de Villa Mar´ıa,por haber financiado parte de mis estudios y por la formaci´onque he recibido durante a~nosen esta instituci´on, tanto como estudiante como en mi tarea docente. A las amigas que encontr´een la maestr´ıa:Jime, Vale y Belu. Sin duda, ha sido una de las cosas m´aslindas de este camino. -
Literature Mining Sustains and Enhances Knowledge Discovery from Omic Studies
LITERATURE MINING SUSTAINS AND ENHANCES KNOWLEDGE DISCOVERY FROM OMIC STUDIES by Rick Matthew Jordan B.S. Biology, University of Pittsburgh, 1996 M.S. Molecular Biology/Biotechnology, East Carolina University, 2001 M.S. Biomedical Informatics, University of Pittsburgh, 2005 Submitted to the Graduate Faculty of School of Medicine in partial fulfillment of the requirements for the degree of Doctor of Philosophy University of Pittsburgh 2016 UNIVERSITY OF PITTSBURGH SCHOOL OF MEDICINE This dissertation was presented by Rick Matthew Jordan It was defended on December 2, 2015 and approved by Shyam Visweswaran, M.D., Ph.D., Associate Professor Rebecca Jacobson, M.D., M.S., Professor Songjian Lu, Ph.D., Assistant Professor Dissertation Advisor: Vanathi Gopalakrishnan, Ph.D., Associate Professor ii Copyright © by Rick Matthew Jordan 2016 iii LITERATURE MINING SUSTAINS AND ENHANCES KNOWLEDGE DISCOVERY FROM OMIC STUDIES Rick Matthew Jordan, M.S. University of Pittsburgh, 2016 Genomic, proteomic and other experimentally generated data from studies of biological systems aiming to discover disease biomarkers are currently analyzed without sufficient supporting evidence from the literature due to complexities associated with automated processing. Extracting prior knowledge about markers associated with biological sample types and disease states from the literature is tedious, and little research has been performed to understand how to use this knowledge to inform the generation of classification models from ‘omic’ data. Using pathway analysis methods to better understand the underlying biology of complex diseases such as breast and lung cancers is state-of-the-art. However, the problem of how to combine literature- mining evidence with pathway analysis evidence is an open problem in biomedical informatics research. -
Locating Gene Conversions on the X-Chromosome
Sexy Gene Conversions: Locating Gene Conversions on the X-Chromosome Mark J. Lawson1, Liqing Zhang1;2∗ Department of Computer Science, Virginia Tech 2Program in Genetics, Bioinformatics, and Computational Biology ∗To whom correspondence should be addressed; E-mail: [email protected] April 3, 2009 Abstract Gene conversion can have a profound impact on both the short-term and long-term evolution of genes and genomes. Here we examined the gene families that are located on the X-chromosomes of human, chimp, mouse, and rat for evidence of gene conversion. We identified seven gene families (WD repeat protein family, Ferritin Heavy Chain family, RAS-related Protein RAB-40 family, Diphosphoinositol polyphosphate phosphohydrolase family, Transcription Elongation Factor A family, LDOC1 Related family, Zinc Finger Protein ZIC, and GLI family) that show evidence of gene conversion. Through phylogenetic analyses and synteny evidence, we show that gene conversion has played an important role in the evolution of these gene families and that gene conversion has occured independently in both primates and rodents. Comparing the results with those of two gene conversion prediction programs (GENECONV and Partimatrix), we found that both GENECONV and Partimatrix have very high false negative rates (i.e. failed to predict gene conversions), leading to many undetected gene conversions. The combination of phylogenetic analyses with physical synteny evidence exhibits high power in the detection of gene conversions. 1 1 Introduction Gene conversions are the exchange of genetic information between two genes, initiated by a double-strand break in one gene (acceptor) followed by the repair of this gene through the copying of the sequence of a similar gene (donor). -
A Peripheral Blood Gene Expression Signature to Diagnose Subclinical Acute Rejection
CLINICAL RESEARCH www.jasn.org A Peripheral Blood Gene Expression Signature to Diagnose Subclinical Acute Rejection Weijia Zhang,1 Zhengzi Yi,1 Karen L. Keung,2 Huimin Shang,3 Chengguo Wei,1 Paolo Cravedi,1 Zeguo Sun,1 Caixia Xi,1 Christopher Woytovich,1 Samira Farouk,1 Weiqing Huang,1 Khadija Banu,1 Lorenzo Gallon,4 Ciara N. Magee,5 Nader Najafian,5 Milagros Samaniego,6 Arjang Djamali ,7 Stephen I. Alexander,2 Ivy A. Rosales,8 Rex Neal Smith,8 Jenny Xiang,3 Evelyne Lerut,9 Dirk Kuypers,10,11 Maarten Naesens ,10,11 Philip J. O’Connell,2 Robert Colvin,8 Madhav C. Menon,1 and Barbara Murphy1 Due to the number of contributing authors, the affiliations are listed at the end of this article. ABSTRACT Background In kidney transplant recipients, surveillance biopsies can reveal, despite stable graft function, histologic features of acute rejection and borderline changes that are associated with undesirable graft outcomes. Noninvasive biomarkers of subclinical acute rejection are needed to avoid the risks and costs associated with repeated biopsies. Methods We examined subclinical histologic and functional changes in kidney transplant recipients from the prospective Genomics of Chronic Allograft Rejection (GoCAR) study who underwent surveillance biopsies over 2 years, identifying those with subclinical or borderline acute cellular rejection (ACR) at 3 months (ACR-3) post-transplant. We performed RNA sequencing on whole blood collected from 88 indi- viduals at the time of 3-month surveillance biopsy to identify transcripts associated with ACR-3, developed a novel sequencing-based targeted expression assay, and validated this gene signature in an independent cohort. -
Motif Selection Using Simulated Annealing Algorithm with Application to Identify Regulatory Elements
Motif Selection Using Simulated Annealing Algorithm with Application to Identify Regulatory Elements A thesis presented to the faculty of the Russ College of Engineering and Technology of Ohio University In partial fulfillment of the requirements for the degree Master of Science Liang Chen August 2018 © 2018 Liang Chen. All Rights Reserved. 2 This thesis titled Motif Selection Using Simulated Annealing Algorithm with Application to Identify Regulatory Elements by LIANG CHEN has been approved for the Department of Electrical Engineering and Computer Science and the Russ College of Engineering and Technology by Lonnie Welch Professor of Electrical Engineering and Computer Science Dennis Irwin Dean, Russ College of Engineering and Technology 3 Abstract CHEN, LIANG, M.S., August 2018, Computer Science Master Program Motif Selection Using Simulated Annealing Algorithm with Application to Identify Regulatory Elements (106 pp.) Director of Thesis: Lonnie Welch Modern research on gene regulation and disorder-related pathways utilize the tools such as microarray and RNA-Seq to analyze the changes in the expression levels of large sets of genes. In silico motif discovery was performed based on the gene expression profile data, which generated a large set of candidate motifs (usually hundreds or thousands of motifs). How to pick a set of biologically meaningful motifs from the candidate motif set is a challenging biological and computational problem. As a computational problem it can be modeled as motif selection problem (MSP). Building solutions for motif selection problem will give biologists direct help in finding transcription factors (TF) that are strongly related to specific pathways and gaining insights of the relationships between genes. -
Cellular Mrnas Access Second Orfs Using a Novel Amino Acid Sequence-Dependent Coupled Translation Termination–Reinitiation Mechanism
Downloaded from rnajournal.cshlp.org on September 23, 2021 - Published by Cold Spring Harbor Laboratory Press Cellular mRNAs access second ORFs using a novel amino acid sequence-dependent coupled translation termination–reinitiation mechanism PHILLIP S. GOULD,1 NIGEL P. DYER,2 WAYNE CROFT,2 SASCHA OTT,2 and ANDREW J. EASTON1,3 1School of Life Sciences, 2Warwick Systems Biology Centre, University of Warwick, Coventry CV4 7AL, United Kingdom ABSTRACT Polycistronic transcripts are considered rare in the human genome. Initiation of translation of internal ORFs of eukaryotic genes has been shown to use either leaky scanning or highly structured IRES regions to access initiation codons. Studies on mammalian viruses identified a mechanism of coupled translation termination–reinitiation that allows translation of an additional ORF. Here, the ribosome terminating translation of ORF-1 translocates upstream to reinitiate translation of ORF-2. We have devised an algorithm to identify mRNAs in the human transcriptome in which the major ORF-1 overlaps a second ORF capable of encoding a product of at least 50 aa in length. This identified 4368 transcripts representing 2214 genes. We investigated 24 transcripts, 22 of which were shown to express a protein from ORF-2 highlighting that 3′ UTRs contain protein-coding potential more frequently than previously suspected. Five transcripts accessed ORF-2 using a process of coupled translation termination–reinitiation. Analysis of one transcript, encoding the CASQ2 protein, showed that the mechanism by which the coupling process of the cellular mRNAs was achieved was novel. This process was not directed by the mRNA sequence but required an aspartate-rich repeat region at the carboxyl terminus of the terminating ORF-1 protein. -
Identification of Tammar Wallaby SIRH12, Derived from a Marsupial-Specific Retrotransposition Event
DNA RESEARCH 18, 211–219, (2011) doi:10.1093/dnares/dsr012 Advance Access Publication on 2 June 2011 Identification of tammar wallaby SIRH12, derived from a marsupial-specific retrotransposition event RYUICHI Ono 1,YOKO Kuroki2,MIE Naruse 1,3,MASAYUKI Ishii 1,2,SAWA Iwasaki 1,ATSUSHI Toyoda 4, ASAO Fujiyama 4,5,GEOFF Shaw6,7,MARILYN B. Renfree6,7,TOMOKO Kaneko-Ishino 3, and FUMITOSHI Ishino 1,* Department of Epigenetics, Medical Research Institute, Tokyo Medical and Dental University, 1-5-45 Yushima, Bunkyo-ku, Tokyo 113-8510, Japan1; Laboratory for Immunogenomics, RIKEN Research Center for Allergy and Immunology, RIKEN Yokohama Institute, 1-7-22 Suehiro-cho, Tsurumi, Yokohama, Kanagawa 230-0045, Japan2; School of Health Sciences, Tokai University, Bohseidai, Isehara, Kanagawa 259-1193, Japan3; Comparative Genomics Laboratory, National Institute of Genetics, Yata 1111, Mishima, Shizuoka 411-8540, Japan4; Department of Informatics, The Graduate University for Advanced Studies, and National Institute of Informatics, 2-1-2 Hitotsubashi, Chiyoda-ku, Tokyo 101-8430, Japan5; Australian Research Council Centre of Excellence for Kangaroo Genomics, Victoria 3010, Australia6 and Department of Zoology, The University of Melbourne, Victoria 3010, Australia7 *To whom correspondence should be addressed. Tel./Fax. þ81-3-5803-4863. Email: fi[email protected] Edited by Toshihiko Shiroishi (Received 28 March 2011; accepted 1 May 2011) Abstract In humans and mice, there are 11 genes derived from sushi-ichi related retrotransposons, some of which are known to play essential roles in placental development. Interestingly, this family of retrotran- sposons was thought to exist only in eutherian mammals, indicating their significant contributions to the eutherian evolution, but at least one, PEG10, is conserved between marsupials and eutherians. -
(12) Patent Application Publication (10) Pub. No.: US 2016/0264934 A1 GALLOURAKIS Et Al
US 20160264934A1 (19) United States (12) Patent Application Publication (10) Pub. No.: US 2016/0264934 A1 GALLOURAKIS et al. (43) Pub. Date: Sep. 15, 2016 (54) METHODS FOR MODULATING AND Publication Classification ASSAYING MI6AIN STEM CELL POPULATIONS (51) Int. Cl. CI2N5/0735 (2006.01) (71) Applicants: THE GENERAL, HOSPITAL AOIN I/02 (2006.01) CORPORATION, Boston, MA (US); CI2O I/68 (2006.01) The Regents of the University of GOIN 33/573 (2006.01) California, Oakland, CA (US) CI2N 5/077 (2006.01) CI2N5/0793 (2006.01) (72) Inventors: Cosmas GIALLOURAKIS, Boston, (52) U.S. Cl. MA (US); Alan C. MULLEN, CPC ............ CI2N5/0606 (2013.01); CI2N5/0657 Brookline, MA (US); Yi XING, (2013.01); C12N5/0619 (2013.01); C12O Torrance, CA (US) I/6888 (2013.01); G0IN33/573 (2013.01); A0IN I/0226 (2013.01); C12N 2501/72 (73) Assignees: THE GENERAL, HOSPITAL (2013.01); C12N 2506/02 (2013.01); C12O CORPORATION, Boston, MA (US); 2600/158 (2013.01); C12Y 201/01062 The Regents of the University of (2013.01); C12Y 201/01 (2013.01) California, Oakland, CA (US) (57) ABSTRACT (21) Appl. No.: 15/067,780 The present invention generally relates to methods, assays and kits to maintain a human stem cell population in an (22) Filed: Mar 11, 2016 undifferentiated state by inhibiting the expression or function of METTL3 and/or METTL4, and mA fingerprint methods, assays, arrays and kits to assess the cell state of a human stem Related U.S. Application Data cell population by assessing mA levels (e.g. mA peak inten (60) Provisional application No.