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GEP Analysis Validates High Risk MDS and Acute Myeloid Leukemia Post
Guerenne et al. Journal of Hematology & Oncology (2016) 9:5 DOI 10.1186/s13045-016-0235-8 RESEARCH Open Access GEP analysis validates high risk MDS and acute myeloid leukemia post MDS mice models and highlights novel dysregulated pathways Laura Guerenne1,2, Stéphanie Beurlet1,2, Mohamed Said3, Petra Gorombei1,2, Carole Le Pogam1,2, Fabien Guidez1,2, Pierre de la Grange4, Nader Omidvar5, Valérie Vanneaux6, Ken Mills7, Ghulam J Mufti3, Laure Sarda-Mantel8,9, Maria Elena Noguera10, Marika Pla1,2,11, Pierre Fenaux1,2,10, Rose Ann Padua1,2,10†, Christine Chomienne1,2,10† and Patricia Krief1,2* Abstract Background: In spite of the recent discovery of genetic mutations in most myelodysplasic (MDS) patients, the pathophysiology of these disorders still remains poorly understood, and only few in vivo models are available to help unravel the disease. Methods: We performed global specific gene expression profiling and functional pathway analysis in purified Sca1+ cells of two MDS transgenic mouse models that mimic human high-risk MDS (HR-MDS) and acute myeloid leukemia (AML) post MDS, with NRASD12 and BCL2 transgenes under the control of different promoters MRP8NRASD12/tethBCL-2 or MRP8[NRASD12/hBCL-2], respectively. Results: Analysis of dysregulated genes that were unique to the diseased HR-MDS and AML post MDS mice and not their founder mice pointed first to pathways that had previously been reported in MDS patients, including DNA replication/damage/repair, cell cycle, apoptosis, immune responses, and canonical Wnt pathways, further validating these models at the gene expression level. Interestingly, pathways not previously reported in MDS were discovered. -
Array Painting Reveals a High Frequency of Balanced Translocations in Breast Cancer Cell Lines That Break in Cancer-Relevant Genes
Oncogene (2008) 27, 3345–3359 & 2008 Nature Publishing Group All rights reserved 0950-9232/08 $30.00 www.nature.com/onc ONCOGENOMICS Array painting reveals a high frequency of balanced translocations in breast cancer cell lines that break in cancer-relevant genes KD Howarth1, KA Blood1,BLNg2, JC Beavis1, Y Chua1, SL Cooke1, S Raby1, K Ichimura3, VP Collins3, NP Carter2 and PAW Edwards1 1Department of Pathology, Hutchison-MRC Research Centre, University of Cambridge, Cambridge, UK; 2Wellcome Trust Sanger Institute, Cambridge, UK and 3Department of Pathology, Division of Molecular Histopathology, Addenbrookes Hospital, University of Cambridge, Cambridge, UK Chromosome translocations in the common epithelial tion and inversion, which can result in gene fusion, cancers are abundant, yet little is known about them. promoter insertion or gene inactivation. As is well They have been thought to be almost all unbalanced and known in haematopoietic tumours and sarcomas, therefore dismissed as mostly mediating tumour suppres- translocations and inversions can have powerful onco- sor loss. We present a comprehensive analysis by array genic effects on specific genes and play a central role in painting of the chromosome translocations of breast cancer development (Rowley, 1998). In the past there cancer cell lines HCC1806, HCC1187 and ZR-75-30. In has been an implicit assumption that such rearrange- array painting, chromosomes are isolated by flow ments are not significant players in the common cytometry, amplified and hybridized to DNA microarrays. epithelial -
Quantitative Trait Loci Mapping of Macrophage Atherogenic Phenotypes
QUANTITATIVE TRAIT LOCI MAPPING OF MACROPHAGE ATHEROGENIC PHENOTYPES BRIAN RITCHEY Bachelor of Science Biochemistry John Carroll University May 2009 submitted in partial fulfillment of requirements for the degree DOCTOR OF PHILOSOPHY IN CLINICAL AND BIOANALYTICAL CHEMISTRY at the CLEVELAND STATE UNIVERSITY December 2017 We hereby approve this thesis/dissertation for Brian Ritchey Candidate for the Doctor of Philosophy in Clinical-Bioanalytical Chemistry degree for the Department of Chemistry and the CLEVELAND STATE UNIVERSITY College of Graduate Studies by ______________________________ Date: _________ Dissertation Chairperson, Johnathan D. Smith, PhD Department of Cellular and Molecular Medicine, Cleveland Clinic ______________________________ Date: _________ Dissertation Committee member, David J. Anderson, PhD Department of Chemistry, Cleveland State University ______________________________ Date: _________ Dissertation Committee member, Baochuan Guo, PhD Department of Chemistry, Cleveland State University ______________________________ Date: _________ Dissertation Committee member, Stanley L. Hazen, MD PhD Department of Cellular and Molecular Medicine, Cleveland Clinic ______________________________ Date: _________ Dissertation Committee member, Renliang Zhang, MD PhD Department of Cellular and Molecular Medicine, Cleveland Clinic ______________________________ Date: _________ Dissertation Committee member, Aimin Zhou, PhD Department of Chemistry, Cleveland State University Date of Defense: October 23, 2017 DEDICATION I dedicate this work to my entire family. In particular, my brother Greg Ritchey, and most especially my father Dr. Michael Ritchey, without whose support none of this work would be possible. I am forever grateful to you for your devotion to me and our family. You are an eternal inspiration that will fuel me for the remainder of my life. I am extraordinarily lucky to have grown up in the family I did, which I will never forget. -
Mir-29B Replacement Inhibits Proteasomes and Disrupts Aggresome +Autophagosome Formation to Enhance the Antimyeloma Benefit of Bortezomib
MiR-29b replacement inhibits proteasomes and disrupts aggresome +autophagosome formation to enhance the antimyeloma benefit of bortezomib The Harvard community has made this article openly available. Please share how this access benefits you. Your story matters Citation Jagannathan, S, N Vad, S Vallabhapurapu, K C Anderson, and J J Driscoll. 2015. “MiR-29b replacement inhibits proteasomes and disrupts aggresome+autophagosome formation to enhance the antimyeloma benefit of bortezomib.” Leukemia 29 (3): 727-738. doi:10.1038/leu.2014.279. http://dx.doi.org/10.1038/leu.2014.279. Published Version doi:10.1038/leu.2014.279 Citable link http://nrs.harvard.edu/urn-3:HUL.InstRepos:14351343 Terms of Use This article was downloaded from Harvard University’s DASH repository, and is made available under the terms and conditions applicable to Other Posted Material, as set forth at http:// nrs.harvard.edu/urn-3:HUL.InstRepos:dash.current.terms-of- use#LAA OPEN Leukemia (2015) 29, 727–738 © 2015 Macmillan Publishers Limited All rights reserved 0887-6924/15 www.nature.com/leu ORIGINAL ARTICLE MiR-29b replacement inhibits proteasomes and disrupts aggresome+autophagosome formation to enhance the antimyeloma benefit of bortezomib S Jagannathan1,2,NVad1,2, S Vallabhapurapu3, S Vallabhapurapu3, KC Anderson4 and JJ Driscoll1,2,3 Evading apoptosis is a cancer hallmark that remains a serious obstacle in current treatment approaches. Although proteasome inhibitors (PIs) have transformed management of multiple myeloma (MM), drug resistance emerges through induction of the aggresome+autophagy pathway as a compensatory protein clearance mechanism. Genome-wide profiling identified microRNAs (miRs) differentially expressed in bortezomib-resistant myeloma cells compared with drug-naive cells. -
Gene Expression Profiles Associated with Response to Chemotherapy in Epithelial Ovarian Cancers Amir A
Cancer Therapy: Preclinical Gene Expression Profiles Associated with Response to Chemotherapy in Epithelial Ovarian Cancers Amir A. Jazaeri,1Christopher S. Awtrey,4 Gadisetti V.R. Chandramouli,1 Ya o E r i c Chu a n g, 2 Javed Khan,3 Christos Sotiriou,1Olga Aprelikova,1Cindy J. Yee,4 Kristin K. Zorn,6 Michael J. Birrer,6 J. Carl Barrett,1andJeff Boyd4,5 Abstract Purpose: The goal of this study was to determine whether distinct gene expression profiles are associated with intrinsic and/or acquired chemoresistance in epithelial ovarian carcinoma. Experimental Design: Gene expression profiles were generated from 21primary chemosensi- tive tumors and 24 primary chemoresistant tumors usingcDNA-based microarrays. Gene expres- sion profiles of both groups of primary tumors were then compared with those of 15 ovarian carcinomas obtained followingplatinum-based chemotherapy (‘‘postchemotherapy’’ tumors). A theme discovery tool was used to identify functional categories of genes involved in drug resistance. Results: Comparison of primary chemosensitive and chemoresistant tumors revealed differential expression of 85 genes (P < 0.001). Comparison of gene expression profiles of primary chemo- sensitive tumors and postchemotherapy tumors revealed more robust differences with 760 genes differentiatingthe two groups ( P < 0.001). In contrast, only 230 genes were differentially expressed between primary chemoresistant and postchemotherapy groups (P < 0.001). Common to both gene lists were 178 genes representing transcripts differentially expressed between post- chemotherapy tumors and all primary tumors irrespective of intrinsic chemosensitivity.The gene expression profile of postchemotherapy tumors compared with that of primary tumors revealed statistically significant overrepresentation of genes encoding extracellular matrix ^ related proteins. Conclusions: These data show that gene expression profiling can discriminate primary chemo- resistant from primary chemosensitive ovarian cancers. -
Review Article Genetics of Proteasome Diseases
Hindawi Publishing Corporation Scientifica Volume 2013, Article ID 637629, 30 pages http://dx.doi.org/10.1155/2013/637629 Review Article Genetics of Proteasome Diseases Aldrin V. Gomes1,2 1 Department of Neurobiology, Physiology, and Behavior, University of California, Davis, CA 95616, USA 2 Department of Physiology and Membrane Biology, University of California, Davis, CA 95616, USA Correspondence should be addressed to Aldrin V. Gomes; [email protected] Received 20 October 2013; Accepted 18 November 2013 Academic Editors: I. Alvarez, M. Cardelli, N. Osna, M. Salio, and T. Vellai Copyright © 2013 Aldrin V. Gomes. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. The proteasome is a large, multiple subunit complex that is capable of degrading most intracellular proteins. Polymorphisms in proteasome subunits are associated with cardiovascular diseases, diabetes, neurological diseases, and cancer. One polymorphism intheproteasomegenePSMA6 (−8C/G) is associated with three different diseases: type 2 diabetes, myocardial infarction, and coronary artery disease. One type of proteasome, the immunoproteasome, which contains inducible catalytic subunits, is adapted to generate peptides for antigen presentation. It has recently been shown that mutations and polymorphisms in the immunoproteasome catalytic subunit PSMB8 are associated with several inflammatory and autoinflammatory diseases -
Global Analysis of the Mammalian MHC Class I Immunopeptidome at the Organism-Wide Scale
bioRxiv preprint doi: https://doi.org/10.1101/2020.09.28.317750; this version posted March 17, 2021. 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. Global Analysis of the Mammalian MHC class I Immunopeptidome at the Organism-Wide Scale Authors Peter Kubiniok†1, Ana Marcu†2,3, Leon Bichmann†2,4, Leon Kuchenbecker4, Heiko Schuster1,5, David Hamelin1, Jérome Despault1, Kevin Kovalchik1, Laura Wessling1, Oliver Kohlbacher4,7,8,9,10 Stefan Stevanovic2,3,6, Hans-Georg Rammensee2,3,6, Marian C. Neidert11, Isabelle Sirois1, Etienne Caron1,12* Affiliations *Corresponding and Leading author: Etienne Caron ([email protected]) †Equal contribution to this work 1CHU Sainte-Justine Research Center, Montreal, QC H3T 1C5, Canada 2Department of Immunology, Interfaculty Institute for Cell Biology, University of Tübingen, Tübingen, Baden-Württemberg, 72076, Germany. 3Cluster of Excellence iFIT (EXC 2180) "Image-Guided and Functionally Instructed Tumor Therapies", University of Tübingen, Tübingen, Baden-Württemberg, 72076, Germany. 4Applied Bioinformatics, Dept. of Computer Science, University of Tübingen, Tübingen, Baden- Württemberg, 72074, Germany. 5Immatics Biotechnologies GmbH, Tübingen, 72076, Baden-Württemberg, Germany. 6DKFZ Partner Site Tübingen, German Cancer Consortium (DKTK), Tübingen, Baden- Württemberg, 72076, Germany. 7Institute for Bioinformatics and Medical Informatics, University of Tübingen, Tübingen, Baden- Württemberg, -
Genomic Regions Associated with Performance in Racing Line of Quarter Horses
Livestock Science 211 (2018) 42–51 Contents lists available at ScienceDirect Livestock Science journal homepage: www.elsevier.com/locate/livsci Genomic regions associated with performance in racing line of Quarter T Horses ⁎ G.L. Pereiraa, , L.A. Chardulob, J.A.IIV. Silvab, R. Fariaa, R.A. Curib a Department of Animal Science, College of Agriculture and Veterinary Science, São Paulo State University (UNESP), access route Paulo Donato Castellane, 14884-900 Jaboticabal, São Paulo, Brazil b Department of Animal Breeding and Nutrition, College of Veterinary and Animal Science, São Paulo State University (UNESP), Rubião Junior District, 18618-970 Botucatu, São Paulo, Brazil ARTICLE INFO ABSTRACT Keywords: Quarter Horses breed for rancing are able to run short distances faster than any other breed. Although in Brazil Candidate gene the effective number of animals in the racing line is relatively smaller compared to the other lines, its economic Enrichment analysis importance is substantial. Despite economic and scientific interest in this athletic trait, few efforts have been Equine genotyping array made to better understand the genetic and physiological mechanisms underlying this trait. The objective of this Quantitative trait loci study was to perform genome-wide association studies (GWAS) in Quarter Horses of the racing line using equine single nucleotide polymorphism (SNP) genotyping chips for prospecting chromosome regions, genes and poly- morphisms related to maximum speed index. Genotypic and phenotypic data from 305 horses genotyped with the 54 k or 65 k chip were used. Additional 187 not genotyped animal with SI record were added in the study, for a total of 492 animals and 620 horses in the pedigree used for the GWAS analysis GWAS was performed by the single-step genomic best linear unbiased prediction (ssGBLUP) method using two approaches: ssGWAS1 in which only SNP effects are recalculated at each iteration, and ssGWAS2 in which SNP effects are recalculated from updated genomic estimated breeding values (GEBVs) at each iteration. -
SUPPLEMENTARY FIGURE 1 a ) % Explained Variation Vs
SUPPLEMENTARY FIGURE 1 ) A % % Explained variation vs. Consensus matrix (4 clusters) 100 number of clusters X ) l 1 2 3 4 Clusters ) 25 l l nul ( n nu ( Consensus o i t 20 a ihood l i hood i r l ke a li ke - i 15 v l g - 0 .2 .4 .6 .8 1 g d lo e lo – ) – n 10 i d ) l e a t l t ul i f f ( p ( x 5 E hood hood i i l l % ke ke 0 i i l l - - g g 1 2 3 4 5 6 o lo l ( Number of clusters B Expanded clusters (including samples w/ missing data) 1 2 3 4 Newly-added samples 4 14 9 Fluke-assoc. Fluke-Pos Fluke-Neg Location Intrahepatic Perihilar Distal Perihilar/Distal MSI/POLE MSI POLE deficiency Viral hepatitis HBV HCV HBV & HCV No data PSC PSC Country Thailand Singapore Korea France Romania Brazil China Italy Sequencing WGS Targeted s n t io t Mutation a oin t P u m r Chr 1 e b m Gain nu y Loss op C Chr 22 n o i High ress p Low x E n o i t a High A l y h DN t Low me C Clustering by gene expression Clustering by copy number alterations Clustering by point mutations Z-score CNA Cluster 4 Cluster 2 Cluster 1 Cluster 4 Cluster 4 Cluster 2 -2 0 2 - 6 0 +6 D Clustering stratified by anatomical site Intrahepatic CCAs Extrahepatic CCAs 92.8% concordant w/ 88% concordant w/ original clusters original clusters Orig. -
Downloaded from Bioscientifica.Com at 09/24/2021 07:41:11PM Via Free Access 2 P Sutovsky
REPRODUCTIONREVIEW Sperm proteasome and fertilization Peter Sutovsky Division of Animal Sciences, and Department of Obstetrics, Gynecology and Women’s Health, University of Missouri-Columbia, Columbia, Missouri 65211-5300, USA Correspondence should be addressed to P Sutovsky; Email: [email protected] Abstract The omnipresent ubiquitin–proteasome system (UPS) is an ATP-dependent enzymatic machinery that targets substrate proteins for degradation by the 26S proteasome by tagging them with an isopeptide chain composed of covalently linked molecules of ubiquitin, a small chaperone protein. The current knowledge of UPS involvement in the process of sperm penetration through vitelline coat (VC) during human and animal fertilization is reviewed in this study, with attention also being given to sperm capacitation and acrosome reaction/exocytosis. In ascidians, spermatozoa release ubiquitin-activating and conjugating enzymes, proteasomes, and unconjugated ubiquitin to first ubiquitinate and then degrade the sperm receptor on the VC; in echinoderms and mammals, the VC (zona pellucida/ZP in mammals) is ubiquitinated during oogenesis and the sperm receptor degraded during fertilization. Various proteasomal subunits and associated enzymes have been detected in spermatozoa and localized to sperm acrosome and other sperm structures. By using specific fluorometric substrates, proteasome-specific proteolytic and deubiquitinating activities can be measured in live, intact spermatozoa and in sperm protein extracts. The requirement of proteasomal proteolysis during fertilization has been documented by the application of various proteasome-specific inhibitors and antibodies. A similar effect was achieved by depletion of sperm-surface ATP. Degradation of VC/ZP-associated sperm receptor proteins by sperm-borne proteasomes has been demonstrated in ascidians and sea urchins. -
Cellular and Molecular Biology
Cellular and Molecular Biology E-ISSN : 1165-158X / P-ISSN : 0145-5680 www.cellmolbiol.org Original Research Meta-analysis of gene expression profiles of peripheral blood cells in systemic lupus erythematosus Sang-Cheol Bae1, Young Ho Lee2* 1 Department of Rheumatology, Hanyang University Hospital for Rheumatic Diseases, Seoul, Korea 2 Department of Rheumatology, Korea University College of Medicine, Seoul, Korea Correspondence to: [email protected] Received January 19, 2018; Accepted July 11, 2018; Published July 30, 2018 Doi: http://dx.doi.org/10.14715/cmb/2018.64.10.7 Copyright: © 2018 by the C.M.B. Association. All rights reserved. Abstract: Our purpose was to identify differentially expressed (DE) genes and biological processes associated with gene expression changes in systemic lupus erythematosus (SLE). We performed a meta-analysis using the INMEX program (integrative meta-analysis of expression data) on publicly available microarray Genetic Expression Omnibus (GEO) datasets of peripheral blood mononuclear cells (PBMCs) of SLE patients and healthy controls. We performed Gene Ontology (GO) enrichment analysis by using hypergeometric tests. In total, five comparisons (2 B cells, 2 CD4 T cells, and 1 myeloid cell) from two GEO datasets contai- ning 51 cases and 46 controls were included in the meta-analysis. We identified 483 genes consistently differentially expressed in SLE (260 up-regulated and 223 down-regulated). The up-regulated gene with the lowest P-value (P-value = 7.33E-10) was TAP1 (transporter 1, ATP-binding cassette, sub-family B (MDR/TAP)). The up-regulated gene with the largest effect size (ES = 2.7799, P-value = 8.28E-06) was STAT1 (signal transducer and activator of transcription 1, 91 kDa). -
Proteasome Activators, Pa28γ and PA200, Play Indispensable Roles In
www.nature.com/scientificreports OPEN Proteasome activators, PA28γ and PA200, play indispensable roles in male fertility Received: 02 October 2015 Lin Huang1,2, Kousuke Haratake1, Hatsumi Miyahara1 & Tomoki Chiba1 Accepted: 25 February 2016 Published: 22 March 2016 Protein degradation mediated by the proteasome is important for the protein homeostasis. Various proteasome activators, such as PA28 and PA200, regulate the proteasome function. Here we show double knockout (dKO) mice of Psme3 and Psme4 (genes for PA28γ and PA200), but not each single knockout mice, are completely infertile in male. The dKO sperms exhibited remarkable defects in motility, although most of them showed normal appearance in morphology. The proteasome activity of the mutant sperms decreased notably, and the sperms were strongly positive with ubiquitin staining. Quantitative analyses of proteins expressed in dKO sperms revealed up-regulation of several proteins involved in oxidative stress response. Furthermore, increased 8-OHdG staining was observed in dKO sperms head, suggesting defective response to oxidative damage. This report verified PA28γ and PA200 play indispensable roles in male fertility, and provides a novel insight into the role of proteasome activators in antioxidant response. Protein turnover is an essential event in eukaryotic cells, which is regulated primarily by the proteasome. The 26S proteasome consists of two subcomplexes, the 20S catalytic particle (CP) and the regulatory particles (RPs) that bind at either or both ends of the 20S CP. 20S CP is a barrel-shaped complex made of two outer α -rings and two inner β -rings. The α - and β -rings are each made up of seven structurally similar α - and β -subunits, respectively.