Oncogenic HRAS Suppresses Clusterin Expression Through Promoter Hypermethylation
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Association of Gene Ontology Categories with Decay Rate for Hepg2 Experiments These Tables Show Details for All Gene Ontology Categories
Supplementary Table 1: Association of Gene Ontology Categories with Decay Rate for HepG2 Experiments These tables show details for all Gene Ontology categories. Inferences for manual classification scheme shown at the bottom. Those categories used in Figure 1A are highlighted in bold. Standard Deviations are shown in parentheses. P-values less than 1E-20 are indicated with a "0". Rate r (hour^-1) Half-life < 2hr. Decay % GO Number Category Name Probe Sets Group Non-Group Distribution p-value In-Group Non-Group Representation p-value GO:0006350 transcription 1523 0.221 (0.009) 0.127 (0.002) FASTER 0 13.1 (0.4) 4.5 (0.1) OVER 0 GO:0006351 transcription, DNA-dependent 1498 0.220 (0.009) 0.127 (0.002) FASTER 0 13.0 (0.4) 4.5 (0.1) OVER 0 GO:0006355 regulation of transcription, DNA-dependent 1163 0.230 (0.011) 0.128 (0.002) FASTER 5.00E-21 14.2 (0.5) 4.6 (0.1) OVER 0 GO:0006366 transcription from Pol II promoter 845 0.225 (0.012) 0.130 (0.002) FASTER 1.88E-14 13.0 (0.5) 4.8 (0.1) OVER 0 GO:0006139 nucleobase, nucleoside, nucleotide and nucleic acid metabolism3004 0.173 (0.006) 0.127 (0.002) FASTER 1.28E-12 8.4 (0.2) 4.5 (0.1) OVER 0 GO:0006357 regulation of transcription from Pol II promoter 487 0.231 (0.016) 0.132 (0.002) FASTER 6.05E-10 13.5 (0.6) 4.9 (0.1) OVER 0 GO:0008283 cell proliferation 625 0.189 (0.014) 0.132 (0.002) FASTER 1.95E-05 10.1 (0.6) 5.0 (0.1) OVER 1.50E-20 GO:0006513 monoubiquitination 36 0.305 (0.049) 0.134 (0.002) FASTER 2.69E-04 25.4 (4.4) 5.1 (0.1) OVER 2.04E-06 GO:0007050 cell cycle arrest 57 0.311 (0.054) 0.133 (0.002) -
Role and Regulation of the P53-Homolog P73 in the Transformation of Normal Human Fibroblasts
Role and regulation of the p53-homolog p73 in the transformation of normal human fibroblasts Dissertation zur Erlangung des naturwissenschaftlichen Doktorgrades der Bayerischen Julius-Maximilians-Universität Würzburg vorgelegt von Lars Hofmann aus Aschaffenburg Würzburg 2007 Eingereicht am Mitglieder der Promotionskommission: Vorsitzender: Prof. Dr. Dr. Martin J. Müller Gutachter: Prof. Dr. Michael P. Schön Gutachter : Prof. Dr. Georg Krohne Tag des Promotionskolloquiums: Doktorurkunde ausgehändigt am Erklärung Hiermit erkläre ich, dass ich die vorliegende Arbeit selbständig angefertigt und keine anderen als die angegebenen Hilfsmittel und Quellen verwendet habe. Diese Arbeit wurde weder in gleicher noch in ähnlicher Form in einem anderen Prüfungsverfahren vorgelegt. Ich habe früher, außer den mit dem Zulassungsgesuch urkundlichen Graden, keine weiteren akademischen Grade erworben und zu erwerben gesucht. Würzburg, Lars Hofmann Content SUMMARY ................................................................................................................ IV ZUSAMMENFASSUNG ............................................................................................. V 1. INTRODUCTION ................................................................................................. 1 1.1. Molecular basics of cancer .......................................................................................... 1 1.2. Early research on tumorigenesis ................................................................................. 3 1.3. Developing -
Plant Genomes Central: Integrated Resources for Plant Genomics
Plant Genomes Central: Integrated Resources for Plant Genomics Plant Genomes Central (PGC) is an integrated, Web-based portal for plant genomics data and tools at the National Center for Biotechnology Information (NCBI). This article explains the goals of Plant Genomes Central, and provides some examples of how to use databases and tools at PGC to access and analyze plant genomic data. NCBI provides a large suite of integrated, general-purpose tools for accessing, analyzing, and visualizing biological data. These tools include: • Basic Local Alignment and Search Tool (BLAST)—a suite of tools for sequence alignment • MapViewer—a system to search and display genomic information by chromosomal position • UniGene—an automated system for creating clusters of GenBank sequences related to individual genes • Entrez—a text-based search and retrieval system for all NCBI biological data and publications databases Many of these tools are designed to work with all sorts of biological data, from all types of species. Because the tools are so general, they can be challenging to use in specific research contexts. Furthermore, most researchers are only interested in the subset of data that is relevant to their research. NCBI serves research communities with specific interests by creating information “portals” that provide access to general-purpose NCBI tools and databases, customized to the needs of the specific community. PGC has three purposes. First, it integrates all of the genetic maps for each plant species genome with observed sequence information for that species. Second, PGC provides interfaces to NCBI databases and search, analysis, and visualization tools that are customized to support the needs of plant biology researchers. -
Nº Ref Uniprot Proteína Péptidos Identificados Por MS/MS 1 P01024
Document downloaded from http://www.elsevier.es, day 26/09/2021. This copy is for personal use. Any transmission of this document by any media or format is strictly prohibited. Nº Ref Uniprot Proteína Péptidos identificados 1 P01024 CO3_HUMAN Complement C3 OS=Homo sapiens GN=C3 PE=1 SV=2 por 162MS/MS 2 P02751 FINC_HUMAN Fibronectin OS=Homo sapiens GN=FN1 PE=1 SV=4 131 3 P01023 A2MG_HUMAN Alpha-2-macroglobulin OS=Homo sapiens GN=A2M PE=1 SV=3 128 4 P0C0L4 CO4A_HUMAN Complement C4-A OS=Homo sapiens GN=C4A PE=1 SV=1 95 5 P04275 VWF_HUMAN von Willebrand factor OS=Homo sapiens GN=VWF PE=1 SV=4 81 6 P02675 FIBB_HUMAN Fibrinogen beta chain OS=Homo sapiens GN=FGB PE=1 SV=2 78 7 P01031 CO5_HUMAN Complement C5 OS=Homo sapiens GN=C5 PE=1 SV=4 66 8 P02768 ALBU_HUMAN Serum albumin OS=Homo sapiens GN=ALB PE=1 SV=2 66 9 P00450 CERU_HUMAN Ceruloplasmin OS=Homo sapiens GN=CP PE=1 SV=1 64 10 P02671 FIBA_HUMAN Fibrinogen alpha chain OS=Homo sapiens GN=FGA PE=1 SV=2 58 11 P08603 CFAH_HUMAN Complement factor H OS=Homo sapiens GN=CFH PE=1 SV=4 56 12 P02787 TRFE_HUMAN Serotransferrin OS=Homo sapiens GN=TF PE=1 SV=3 54 13 P00747 PLMN_HUMAN Plasminogen OS=Homo sapiens GN=PLG PE=1 SV=2 48 14 P02679 FIBG_HUMAN Fibrinogen gamma chain OS=Homo sapiens GN=FGG PE=1 SV=3 47 15 P01871 IGHM_HUMAN Ig mu chain C region OS=Homo sapiens GN=IGHM PE=1 SV=3 41 16 P04003 C4BPA_HUMAN C4b-binding protein alpha chain OS=Homo sapiens GN=C4BPA PE=1 SV=2 37 17 Q9Y6R7 FCGBP_HUMAN IgGFc-binding protein OS=Homo sapiens GN=FCGBP PE=1 SV=3 30 18 O43866 CD5L_HUMAN CD5 antigen-like OS=Homo -
G-Protein Binding Features and Regulation Of
G-protein binding features and regulation of the RalGDS family member, RGL2 Elisa Ferro, David Magrini, Paolo Guazzi, Thomas H Fischer, Sara Pistolesi, Rebecca Pogni, Gilbert C. White Ii, Lorenza Trabalzini To cite this version: Elisa Ferro, David Magrini, Paolo Guazzi, Thomas H Fischer, Sara Pistolesi, et al.. G-protein binding features and regulation of the RalGDS family member, RGL2. Biochemical Journal, Portland Press, 2008, 415 (1), pp.145-154. 10.1042/BJ20080255. hal-00478963 HAL Id: hal-00478963 https://hal.archives-ouvertes.fr/hal-00478963 Submitted on 30 Apr 2010 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. Biochemical Journal Immediate Publication. Published on 09 Jun 2008 as manuscript BJ20080255 G-PROTEIN BINDING FEATURES AND REGULATION OF THE RALGDS FAMILY MEMBER, RGL2 Elisa Ferro1, David Magrini1, Paolo Guazzi1, Thomas H. Fischer2 , Sara Pistolesi3, Rebecca Pogni3, Gilbert C. White II4, Lorenza Trabalzini1* 1Dipartimento di Biologia Molecolare, and 3Dipartimento di Chimica, Università degli Studi di Siena, 53100 Siena, Italy 2Department -
G-Protein Binding Features and Regulation of the Ralgds Family Member, Rgl2
Biochemical Journal Immediate Publication. Published on 09 Jun 2008 as manuscript BJ20080255 G-PROTEIN BINDING FEATURES AND REGULATION OF THE RALGDS FAMILY MEMBER, RGL2 Elisa Ferro1, David Magrini1, Paolo Guazzi1, Thomas H. Fischer2 , Sara Pistolesi3, Rebecca Pogni3, Gilbert C. White II4, Lorenza Trabalzini1* 1Dipartimento di Biologia Molecolare, and 3Dipartimento di Chimica, Università degli Studi di Siena, 53100 Siena, Italy 2Department of Pathology and Laboratory Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA 4Blood Research Institute, Medical College of Wisconsin, Milwaukee, WI 53226-3548, USA Short title: Structure-function analysis of RGL2 Keywords: RalGDS family, Structure-activity analysis, Ras effectors, Exchange factors, Signal transduction *Corresponding author: Lorenza Trabalzini, [email protected] Abbreviations: TMB, 3,3’,5,5’-tetramethylbenzidine; Gpp(NH)p, 5’- guanylylimidodiphosphate trisodium; GST, glutathione S-transferase; X-gal, 5-Bromo-4- chloro-3-indolyl β-D-galactoside; IPTG, isopropyl-1-thio-b-D-galactopyranoside; Y2H, Yeast Two-Hybrid THIS IS NOT THE FINAL VERSION - see doi:10.1042/BJ20080255 Stage 2(a) POST-PRINT 1 Licenced copy. Copying is not permitted, except with prior permission and as allowed by law. © 2008 The Authors Journal compilation © 2008 Biochemical Society Biochemical Journal Immediate Publication. Published on 09 Jun 2008 as manuscript BJ20080255 ABSTRACT Ral Guanine nucleotide dissociation stimulator-Like 2 (RGL2) is a member of the RalGDS family that we have isolated and characterized as a potential effector for Ras and the Ras analogue Rap1b. The protein shares 89% sequence identity to its mouse orthologue Rlf. In this study we further characterized the G-protein binding features of RGL2 and also demonstrated that RGL2 has guanine nucleotide exchange activity toward the small GTPase RalA. -
S41598-019-44584-7.Pdf
www.nature.com/scientificreports OPEN Functional characterisation of a novel class of in-frame insertion variants of KRAS and HRAS Received: 1 February 2019 Astrid Eijkelenboom1, Frederik M. A. van Schaik2, Robert M. van Es2, Roel W. Ten Broek1, Accepted: 17 May 2019 Tuula Rinne 3, Carine van der Vleuten4, Uta Flucke1, Marjolijn J. L. Ligtenberg1,3 & Published: xx xx xxxx Holger Rehmann2,5 Mutations in the RAS genes are identifed in a variety of clinical settings, ranging from somatic mutations in oncology to germline mutations in developmental disorders, also known as ‘RASopathies’, and vascular malformations/overgrowth syndromes. Generally single amino acid substitutions are identifed, that result in an increase of the GTP bound fraction of the RAS proteins causing constitutive signalling. Here, a series of 7 in-frame insertions and duplications in HRAS (n = 5) and KRAS (n = 2) is presented, resulting in the insertion of 7–10 amino acids residues in the switch II region. These variants were identifed in routine diagnostic screening of 299 samples for somatic mutations in vascular malformations/overgrowth syndromes (n = 6) and in germline analyses for RASopathies (n = 1). Biophysical characterization shows the inability of Guanine Nucleotide Exchange Factors to induce GTP loading and reduced intrinsic and GAP-stimulated GTP hydrolysis. As a consequence of these opposing efects, increased RAS signalling is detected in a cellular model system. Therefore these in-frame insertions represent a new class of weakly activating clinically relevant RAS variants. Overgrowth syndromes, including vascular malformations represent a spectrum of conditions with congenital, aberrant vascular structures combined with overgrowth of surrounding tissue1–4. -
Content Based Search in Gene Expression Databases and a Meta-Analysis of Host Responses to Infection
Content Based Search in Gene Expression Databases and a Meta-analysis of Host Responses to Infection A Thesis Submitted to the Faculty of Drexel University by Francis X. Bell in partial fulfillment of the requirements for the degree of Doctor of Philosophy November 2015 c Copyright 2015 Francis X. Bell. All Rights Reserved. ii Acknowledgments I would like to acknowledge and thank my advisor, Dr. Ahmet Sacan. Without his advice, support, and patience I would not have been able to accomplish all that I have. I would also like to thank my committee members and the Biomed Faculty that have guided me. I would like to give a special thanks for the members of the bioinformatics lab, in particular the members of the Sacan lab: Rehman Qureshi, Daisy Heng Yang, April Chunyu Zhao, and Yiqian Zhou. Thank you for creating a pleasant and friendly environment in the lab. I give the members of my family my sincerest gratitude for all that they have done for me. I cannot begin to repay my parents for their sacrifices. I am eternally grateful for everything they have done. The support of my sisters and their encouragement gave me the strength to persevere to the end. iii Table of Contents LIST OF TABLES.......................................................................... vii LIST OF FIGURES ........................................................................ xiv ABSTRACT ................................................................................ xvii 1. A BRIEF INTRODUCTION TO GENE EXPRESSION............................. 1 1.1 Central Dogma of Molecular Biology........................................... 1 1.1.1 Basic Transfers .......................................................... 1 1.1.2 Uncommon Transfers ................................................... 3 1.2 Gene Expression ................................................................. 4 1.2.1 Estimating Gene Expression ............................................ 4 1.2.2 DNA Microarrays ...................................................... -
Supporting Information
Supporting Information Poulogiannis et al. 10.1073/pnas.1009941107 SI Materials and Methods Loss of Heterozygosity (LOH) Analysis of PARK2. Seven microsatellite Bioinformatic Analysis of Genome and Transcriptome Data. The markers (D6S1550, D6S253, D6S305, D6S955, D6S980, D6S1599, aCGH package in R was used to identify significant DNA copy and D6S396) were amplified for LOH analysis within the PARK2 number (DCN) changes in our collection of 100 sporadic CRCs locus using primers that were previously described (8). (1) (Gene Expression Omnibus, accession no. GSE12520). The MSP of the PARK2 Promoter. CpG sites within the PARK2 promoter aCGH analysis of cell lines and liver metastases was derived region were detected using the Methprimer software (http://www. from published data (2, 3). Chromosome 6 tiling-path array- urogene.org/methprimer/index.html). Methylation-specificand CGH was used to identify the smallest and most frequently al- control primers were designed using the Primo MSP software tered regions of DNA copy number change on chromosome 6. (http://www.changbioscience.com/primo/primom.html); bisulfite An integrative approach was used to correlate expression pro- modification of genomic DNA was performed as described pre- files with genomic copy number data from a SNP array from the viously (9). All tumor DNA samples from primary CRC tumors same tumors (n = 48) (4) (GSE16125), using Pearson’s corre- (n = 100) and CRC lines (n = 5), as well as those from the leukemia lation coefficient analysis to identify the relationships between cell lines KG-1a (acute myeloid leukemia, AML), U937 (acute DNA copy number changes and gene expression of those genes lymphoblastic leukemia, ALL), and Raji (Burkitt lymphoma, BL) SssI located within the small frequently altered regions of DCN were screened as part of this analysis. -
Rlf Shrna Plasmid (H): Sc-88789-SH
SANTA CRUZ BIOTECHNOLOGY, INC. Rlf shRNA Plasmid (h): sc-88789-SH BACKGROUND PRODUCT Chromosome 1 is the largest human chromosome spanning about 260 million Rlf shRNA Plasmid (h) is a pool of 3 target-specific lentiviral vector plasmids base pairs and making up 8% of the human genome. There are about 3,000 each encoding 19-25 nt (plus hairpin) shRNAs designed to knock down gene genes on chromosome 1, and considering the great number of genes there are expression. Each plasmid contains a puromycin resistance gene for the selec- also a large number of diseases associated with chromosome 1. Notably, the tion of cells stably expressing shRNA. Each vial contains 20 µg of lyophiliz- rare aging disease Hutchinson-Gilford progeria is associated with the LMNA ed shRNA plasmid DNA. Suitable for up to 20 transfections. Also see Rlf gene which encodes Lamin A. When defective, the LMNA gene product can siRNA (h): sc-88789 and Rlf shRNA (h) Lentiviral Particles: sc-88789-V as build up in the nucleus and cause characteristic nuclear blebs. The mechanism alternate gene silencing products. of rapidly enhanced aging is unclear and is a topic of continuing exploration. The MUTYH gene is located on chromosome 1 and is partially responsible for STORAGE AND RESUSPENSION familial adenomatous polyposis. Stickler syndrome, Parkinsons, Gaucher dis- Store lyophilized shRNA plasmid DNA at 4° C with desiccant. Stable for ease and Usher syndrome are also associated with chromosome 1. A break- at least one year from the date of shipment. Once resuspended, store at point has been identified in 1q which disrupts the DISC1 gene and is linked to 4° C for short term storage or -80° C for long term storage. -
Coexpression Networks Based on Natural Variation in Human Gene Expression at Baseline and Under Stress
University of Pennsylvania ScholarlyCommons Publicly Accessible Penn Dissertations Fall 2010 Coexpression Networks Based on Natural Variation in Human Gene Expression at Baseline and Under Stress Renuka Nayak University of Pennsylvania, [email protected] Follow this and additional works at: https://repository.upenn.edu/edissertations Part of the Computational Biology Commons, and the Genomics Commons Recommended Citation Nayak, Renuka, "Coexpression Networks Based on Natural Variation in Human Gene Expression at Baseline and Under Stress" (2010). Publicly Accessible Penn Dissertations. 1559. https://repository.upenn.edu/edissertations/1559 This paper is posted at ScholarlyCommons. https://repository.upenn.edu/edissertations/1559 For more information, please contact [email protected]. Coexpression Networks Based on Natural Variation in Human Gene Expression at Baseline and Under Stress Abstract Genes interact in networks to orchestrate cellular processes. Here, we used coexpression networks based on natural variation in gene expression to study the functions and interactions of human genes. We asked how these networks change in response to stress. First, we studied human coexpression networks at baseline. We constructed networks by identifying correlations in expression levels of 8.9 million gene pairs in immortalized B cells from 295 individuals comprising three independent samples. The resulting networks allowed us to infer interactions between biological processes. We used the network to predict the functions of poorly-characterized human genes, and provided some experimental support. Examining genes implicated in disease, we found that IFIH1, a diabetes susceptibility gene, interacts with YES1, which affects glucose transport. Genes predisposing to the same diseases are clustered non-randomly in the network, suggesting that the network may be used to identify candidate genes that influence disease susceptibility. -
Expansion of Disease Gene Families by Whole Genome Duplication in Early Vertebrates Param Priya Singh
Expansion of disease gene families by whole genome duplication in early vertebrates Param Priya Singh To cite this version: Param Priya Singh. Expansion of disease gene families by whole genome duplication in early verte- brates. Bioinformatics [q-bio.QM]. Institut Curie, Paris; Université Pierre et Marie Curie; Paris 6, 2013. English. tel-01162244 HAL Id: tel-01162244 https://tel.archives-ouvertes.fr/tel-01162244 Submitted on 10 Jun 2015 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. Public Domain THÈSE DE DOCTORAT DE l’UNIVERSITÉ PIERRE ET MARIE CURIE Spécialité Informatique École doctorale Informatique, Télécommunications et Électronique (Paris) Présentée par Param Priya SINGH Pour obtenir le grade de DOCTEUR de l’UNIVERSITÉ PIERRE ET MARIE CURIE Sujet de la thèse : Expansion des familles de gènes impliquées dans des maladies par duplication du génome chez les premiers vertébrés (Expansion of disease gene families by whole genome duplication in early vertebrates) Soutenue le 11 Décembre 2013 Devant le jury composé de : M. Hugues ROEST-CROLLIUS