Pirin Downregulation Is a Feature of AML and Leads to Impairment of Terminal Myeloid Differentiation
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Association Analyses of Known Genetic Variants with Gene
ASSOCIATION ANALYSES OF KNOWN GENETIC VARIANTS WITH GENE EXPRESSION IN BRAIN by Viktoriya Strumba A dissertation submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy (Bioinformatics) in The University of Michigan 2009 Doctoral Committee: Professor Margit Burmeister, Chair Professor Huda Akil Professor Brian D. Athey Assistant Professor Zhaohui S. Qin Research Statistician Thomas Blackwell To Sam and Valentina Dmitriy and Elizabeth ii ACKNOWLEDGEMENTS I would like to thank my advisor Professor Margit Burmeister, who tirelessly guided me though seemingly impassable corridors of graduate work. Throughout my thesis writing period she provided sound advice, encouragement and inspiration. Leading by example, her enthusiasm and dedication have been instrumental in my path to becoming a better scientist. I also would like to thank my co-advisor Tom Blackwell. His careful prodding always kept me on my toes and looking for answers, which taught me the depth of careful statistical analysis. His diligence and dedication have been irreplaceable in most difficult of projects. I also would like to thank my other committee members: Huda Akil, Brian Athey and Steve Qin as well as David States. You did not make it easy for me, but I thank you for believing and not giving up. Huda’s eloquence in every subject matter she explained have been particularly inspiring, while both Huda’s and Brian’s valuable advice made the completion of this dissertation possible. I would also like to thank all the members of the Burmeister lab, both past and present: Sandra Villafuerte, Kristine Ito, Cindy Schoen, Karen Majczenko, Ellen Schmidt, Randi Burns, Gang Su, Nan Xiang and Ana Progovac. -
Identifying Novel Disease-Associated Variants and Understanding The
Identifying Novel Disease-variants and Understanding the Role of the STAT1-STAT4 Locus in SLE A dissertation submitted to the Graduate School of University of Cincinnati In partial fulfillment of the requirements for the degree of Doctor of Philosophy in the Immunology Graduate Program of the College of Medicine by Zubin H. Patel B.S., Worcester Polytechnic Institute, 2009 John B. Harley, M.D., Ph.D. Committee Chair Gurjit Khurana Hershey, M.D., Ph.D Leah C. Kottyan, Ph.D. Harinder Singh, Ph.D. Matthew T. Weirauch, Ph.D. Abstract Systemic Lupus Erythematosus (SLE) or lupus is an autoimmune disorder caused by an overactive immune system with dysregulation of both innate and adaptive immune pathways. It can affect all major organ systems and may lead to inflammation of the serosal and mucosal surfaces. The pathogenesis of lupus is driven by genetic factors, environmental factors, and gene-environment interactions. Heredity accounts for a substantial proportion of SLE risk, and the role of specific genetic risk loci has been well established. Identifying the specific causal genetic variants and the underlying molecular mechanisms has been a major area of investigation. This thesis describes efforts to develop an analytical approach to identify candidate rare variants from trio analyses and a fine-mapping analysis at the STAT1-STAT4 locus, a well-replicated SLE-risk locus. For the STAT1-STAT4 locus, subsequent functional biological studies demonstrated genotype dependent gene expression, transcription factor binding, and DNA regulatory activity. Rare variants are classified as variants across the genome with an allele-frequency less than 1% in ancestral populations. -
Genetic Variations in the PSMA6 and PSMC6 Proteasome Genes Are Associated with Multiple Sclerosis and Response to Interferon‑Β Therapy in Latvians
EXPERIMENTAL AND THERAPEUTIC MEDICINE 21: 478, 2021 Genetic variations in the PSMA6 and PSMC6 proteasome genes are associated with multiple sclerosis and response to interferon‑β therapy in Latvians NATALIA PARAMONOVA1, JOLANTA KALNINA1, KRISTINE DOKANE1, KRISTINE DISLERE1, ILVA TRAPINA1, TATJANA SJAKSTE1 and NIKOLAJS SJAKSTE1,2 1Genomics and Bioinformatics, Institute of Biology of The University of Latvia; 2Department of Medical Biochemistry of The University of Latvia, LV‑1004 Riga, Latvia Received July 8, 2020; Accepted December 8, 2020 DOI: 10.3892/etm.2021.9909 Abstract. Several polymorphisms in genes related to the Introduction ubiquitin‑proteasome system exhibit an association with pathogenesis and prognosis of various human autoimmune Multiple sclerosis (MS) is a lifelong demyelinating disease of diseases. Our previous study reported the association the central nervous system. The clinical onset of MS tends to between multiple sclerosis (MS) and the PSMA3‑rs2348071 be between the second and fourth decade of life. Similarly to polymorphism in the Latvian population. The current study other autoimmune diseases, women are affected 3‑4 times more aimed to evaluate the PSMA6 and PSMC6 genetic variations, frequently than men (1). About 10% of MS patients experience their interaction between each other and with the rs2348071, a primary progressive MS form characterized by the progres‑ on the susceptibility to MS risk and response to therapy in sion of neurological disability from the onset. In about 90% the Latvian population. PSMA6‑rs2277460, ‑rs1048990 and of MS patients, the disease undergoes the relapse‑remitting PSMC6‑rs2295826, ‑rs2295827 were genotyped in the MS MS course (RRMS); in most of these patients, the condition case/control study and analysed in terms of genotype‑protein acquires secondary progressive course (SPMS) (2). -
Supplementary Information
Supplementary Information PathwayMatcher: multi-omics pathway mapping and proteoform network generation Luis Francisco Hernández Sánchez1,2,3, Bram Burger4,5, Carlos Horro4,5, Antonio Fabregat3, Stefan Johansson1,2, Pål Rasmus Njølstad1,6, Harald Barsnes4,5, Henning Hermjakob3,7, and Marc Vaudel1,2,* 1 K.G. Jebsen Center for Diabetes Research, Department of Clinical Science, University of Bergen, Norway 2 Center for Medical Genetics and Molecular Medicine, Haukeland University Hospital, Bergen, Norway 3 European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, Cambridge, United Kingdom 4 Proteomics Unit, Department of Biomedicine, University of Bergen, Bergen, Norway 5 Computational Biology Unit, Department of Informatics, University of Bergen, Bergen, Norway 6 Department of Pediatrics, Haukeland University Hospital, Bergen, Norway 7 Beijing Proteome Research Center, National Center for Protein Sciences Beijing, Beijing, China * To whom correspondence should be addressed Abstract Mapping biomedical data to functional knowledge is an essential task in biomedicine and can be achieved by querying gene or protein identifiers in pathway knowledgebases. Here, we demonstrate that including fine-granularity information such as post-translational modifications greatly increases the specificity of the analysis. We present PathwayMatcher (github.com/PathwayAnalysisPlatform/PathwayMatcher), a bioinformatic application for mapping multi-omics data to pathways and show how this enables the -
Seq2pathway Vignette
seq2pathway Vignette Bin Wang, Xinan Holly Yang, Arjun Kinstlick May 19, 2021 Contents 1 Abstract 1 2 Package Installation 2 3 runseq2pathway 2 4 Two main functions 3 4.1 seq2gene . .3 4.1.1 seq2gene flowchart . .3 4.1.2 runseq2gene inputs/parameters . .5 4.1.3 runseq2gene outputs . .8 4.2 gene2pathway . 10 4.2.1 gene2pathway flowchart . 11 4.2.2 gene2pathway test inputs/parameters . 11 4.2.3 gene2pathway test outputs . 12 5 Examples 13 5.1 ChIP-seq data analysis . 13 5.1.1 Map ChIP-seq enriched peaks to genes using runseq2gene .................... 13 5.1.2 Discover enriched GO terms using gene2pathway_test with gene scores . 15 5.1.3 Discover enriched GO terms using Fisher's Exact test without gene scores . 17 5.1.4 Add description for genes . 20 5.2 RNA-seq data analysis . 20 6 R environment session 23 1 Abstract Seq2pathway is a novel computational tool to analyze functional gene-sets (including signaling pathways) using variable next-generation sequencing data[1]. Integral to this tool are the \seq2gene" and \gene2pathway" components in series that infer a quantitative pathway-level profile for each sample. The seq2gene function assigns phenotype-associated significance of genomic regions to gene-level scores, where the significance could be p-values of SNPs or point mutations, protein-binding affinity, or transcriptional expression level. The seq2gene function has the feasibility to assign non-exon regions to a range of neighboring genes besides the nearest one, thus facilitating the study of functional non-coding elements[2]. Then the gene2pathway summarizes gene-level measurements to pathway-level scores, comparing the quantity of significance for gene members within a pathway with those outside a pathway. -
Supplementary Table 1: Adhesion Genes Data Set
Supplementary Table 1: Adhesion genes data set PROBE Entrez Gene ID Celera Gene ID Gene_Symbol Gene_Name 160832 1 hCG201364.3 A1BG alpha-1-B glycoprotein 223658 1 hCG201364.3 A1BG alpha-1-B glycoprotein 212988 102 hCG40040.3 ADAM10 ADAM metallopeptidase domain 10 133411 4185 hCG28232.2 ADAM11 ADAM metallopeptidase domain 11 110695 8038 hCG40937.4 ADAM12 ADAM metallopeptidase domain 12 (meltrin alpha) 195222 8038 hCG40937.4 ADAM12 ADAM metallopeptidase domain 12 (meltrin alpha) 165344 8751 hCG20021.3 ADAM15 ADAM metallopeptidase domain 15 (metargidin) 189065 6868 null ADAM17 ADAM metallopeptidase domain 17 (tumor necrosis factor, alpha, converting enzyme) 108119 8728 hCG15398.4 ADAM19 ADAM metallopeptidase domain 19 (meltrin beta) 117763 8748 hCG20675.3 ADAM20 ADAM metallopeptidase domain 20 126448 8747 hCG1785634.2 ADAM21 ADAM metallopeptidase domain 21 208981 8747 hCG1785634.2|hCG2042897 ADAM21 ADAM metallopeptidase domain 21 180903 53616 hCG17212.4 ADAM22 ADAM metallopeptidase domain 22 177272 8745 hCG1811623.1 ADAM23 ADAM metallopeptidase domain 23 102384 10863 hCG1818505.1 ADAM28 ADAM metallopeptidase domain 28 119968 11086 hCG1786734.2 ADAM29 ADAM metallopeptidase domain 29 205542 11085 hCG1997196.1 ADAM30 ADAM metallopeptidase domain 30 148417 80332 hCG39255.4 ADAM33 ADAM metallopeptidase domain 33 140492 8756 hCG1789002.2 ADAM7 ADAM metallopeptidase domain 7 122603 101 hCG1816947.1 ADAM8 ADAM metallopeptidase domain 8 183965 8754 hCG1996391 ADAM9 ADAM metallopeptidase domain 9 (meltrin gamma) 129974 27299 hCG15447.3 ADAMDEC1 ADAM-like, -
Origins and Functional Impact of Copy Number Variation in the Human Genome
doi:10.1038/nature08516 ARTICLES Origins and functional impact of copy number variation in the human genome Donald F. Conrad1*, Dalila Pinto2*, Richard Redon1,3, Lars Feuk2,4, Omer Gokcumen5, Yujun Zhang1, Jan Aerts1, T. Daniel Andrews1, Chris Barnes1, Peter Campbell1, Tomas Fitzgerald1, Min Hu1, Chun Hwa Ihm5, Kati Kristiansson1, Daniel G. MacArthur1, Jeffrey R. MacDonald2, Ifejinelo Onyiah1, Andy Wing Chun Pang2, Sam Robson1, Kathy Stirrups1, Armand Valsesia1, Klaudia Walter1, John Wei2, Wellcome Trust Case Control Consortium{, Chris Tyler-Smith1, Nigel P. Carter1, Charles Lee5, Stephen W. Scherer2,6 & Matthew E. Hurles1 Structural variations of DNA greater than 1 kilobase in size account for most bases that vary among human genomes, but are still relatively under-ascertained. Here we use tiling oligonucleotide microarrays, comprising 42 million probes, to generate a comprehensive map of 11,700 copy number variations (CNVs) greater than 443 base pairs, of which most (8,599) have been validated independently. For 4,978 of these CNVs, we generated reference genotypes from 450 individuals of European, African or East Asian ancestry. The predominant mutational mechanisms differ among CNV size classes. Retrotransposition has duplicated and inserted some coding and non-coding DNA segments randomly around the genome. Furthermore, by correlation with known trait-associated single nucleotide polymorphisms (SNPs), we identified 30 loci with CNVs that are candidates for influencing disease susceptibility. Despite this, having assessed the completeness of our map and the patterns of linkage disequilibrium between CNVs and SNPs, we conclude that, for complex traits, the heritability void left by genome-wide association studies will not be accounted for by common CNVs. -
Biological and Prognostic Significance of Chromosome 5Q Deletions in Myeloid Malignancies Aristoteles A.N
Review Biological and Prognostic Significance of Chromosome 5q Deletions in Myeloid Malignancies Aristoteles A.N. Giagounidis,1Ulrich Germing,2 and Carlo Aul1 Abstract The presence of del(5q), either as the sole karyotypic abnormality or as part of a more complex karyotype, has distinct clinical implications for myelodysplastic syndromes (MDS) and acute myeloid leukemia. The 5qÀ syndrome, a subtype of low-riskMDS, is characterized by an isolated 5q deletion and <5% blasts in the bone marrow and can serve as a useful model for studying the role of 5q deletions in the pathogenesis and prognosis of myeloid malignancies. Recent clinical results with lenalidomide, an oral immunomodulatory drug, have shown durable erythroid responses, including transfusion independence and complete cytogenetic remissions in patients with del(5q) MDS with or without additional chromosomal abnormalities. These results indicate that lenalidomide can overcome the pathogenic effect of 5q deletion in MDS and restore bone marrow balance. The data provide important new insights into the pathobiology of 5q chromo- somal deletions in myeloid malignancies. Cytogenetic abnormalities are detected in the bone marrow of preponderance, refractory macrocytic anemia, normal or high over 50% of patients diagnosed with primary myelodysplastic platelet counts, hypolobulated megakaryocytes, and modest syndromes (MDS) or myeloid leukemias, and up to 80% of leukopenia (11, 14, 17). The prognosis is favorable in 5qÀ patients with secondary or therapy-related MDS (1, 2). These syndrome with relatively low risk of transformation to AML abnormalities can be characterized as being balanced or (11, 18). Although the limits of 5q deletions vary among unbalanced (3, 4). Balanced cytogenetic abnormalities include patients with 5qÀ syndrome, the most frequent deletion is reciprocal translocations, inversions, and insertions (3, 5, 6). -
Modulating Antiviral Response Via CRISPR–Cas Systems
viruses Review Immunity and Viral Infections: Modulating Antiviral Response via CRISPR–Cas Systems Sergey Brezgin 1,2,3,† , Anastasiya Kostyusheva 1,†, Ekaterina Bayurova 4 , Elena Volchkova 5, Vladimir Gegechkori 6 , Ilya Gordeychuk 4,7, Dieter Glebe 8 , Dmitry Kostyushev 1,3,*,‡ and Vladimir Chulanov 1,3,5,‡ 1 National Medical Research Center of Tuberculosis and Infectious Diseases, Ministry of Health, 127994 Moscow, Russia; [email protected] (S.B.); [email protected] (A.K.); [email protected] (V.C.) 2 Institute of Immunology, Federal Medical Biological Agency, 115522 Moscow, Russia 3 Scientific Center for Genetics and Life Sciences, Division of Biotechnology, Sirius University of Science and Technology, 354340 Sochi, Russia 4 Chumakov Federal Scientific Center for Research and Development of Immune-and-Biological Products of Russian Academy of Sciences, 108819 Moscow, Russia; [email protected] (E.B.); [email protected] (I.G.) 5 Department of Infectious Diseases, Sechenov University, 119991 Moscow, Russia; [email protected] 6 Department of Pharmaceutical and Toxicological Chemistry, Sechenov University, 119991 Moscow, Russia; [email protected] 7 Department of Organization and Technology of Immunobiological Drugs, Sechenov University, 119991 Moscow, Russia 8 National Reference Center for Hepatitis B Viruses and Hepatitis D Viruses, Institute of Medical Virology, Justus Liebig University of Giessen, 35392 Giessen, Germany; [email protected] * Correspondence: [email protected] † Co-first authors. Citation: Brezgin, S.; Kostyusheva, ‡ Co-senior authors. A.; Bayurova, E.; Volchkova, E.; Gegechkori, V.; Gordeychuk, I.; Glebe, Abstract: Viral infections cause a variety of acute and chronic human diseases, sometimes resulting D.; Kostyushev, D.; Chulanov, V. Immunity and Viral Infections: in small local outbreaks, or in some cases spreading across the globe and leading to global pandemics. -
Areca Catechu-(Betel-Nut)-Induced Whole Transcriptome Changes Associated With
bioRxiv preprint doi: https://doi.org/10.1101/2020.08.03.233932; this version posted August 3, 2020. 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. 1 Areca catechu-(Betel-nut)-induced whole transcriptome changes associated with 2 diabetes, obesity and metabolic syndrome in a human monocyte cell line 3 4 Short title: Betel-nut induced whole transcriptome changes 5 6 7 Shirleny Cardoso1¶ , B. William Ogunkolade1¶, Rob Lowe2, Emanuel Savage3, Charles A 8 Mein3, Barbara J Boucher1, Graham A Hitman1* 9 10 11 1Centre for Genomics and Child Health, Blizard Institute, Barts and the London School of 12 Medicine and Dentistry, Queen Mary University of London, United Kingdom 13 14 2Omnigen Biodata Ltd, Cambridge, United Kingdom 15 16 3Barts and The London Genome Centre, Blizard Institute, Queen Mary University of London, 17 United Kingdom 18 19 * Corresponding author 20 Email: [email protected] 21 22 ¶These authors contributed equally to the work 23 24 1 bioRxiv preprint doi: https://doi.org/10.1101/2020.08.03.233932; this version posted August 3, 2020. 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. 25 Abstract 26 Betel-nut consumption is the fourth most common addictive habit globally and there is good 27 evidence to link it with obesity, type 2 diabetes and the metabolic syndrome. -
Mutation Analysis of Genes Within the Dynactin Complex in a Cohort of Hereditary Peripheral Neuropathies
Clin Genet 2016: 90: 127–133 © 2015 John Wiley & Sons A/S. Printed in Singapore. All rights reserved Published by John Wiley & Sons Ltd CLINICAL GENETICS doi: 10.1111/cge.12712 Original Article Mutation analysis of genes within the dynactin complex in a cohort of hereditary peripheral neuropathies a a Tey S., Ahmad-Annuar A., Drew A.P., Shahrizaila N., Nicholson G.A., S. Tey , A. Ahmad-Annuar , Kennerson M.L. Mutation analysis of genes within the dynactin complex in A.P. Drewb, N. Shahrizailac, , a cohort of hereditary peripheral neuropathies. G.A. Nicholsonb d and Clin Genet 2016: 90: 127–133. © John Wiley & Sons A/S. Published by M.L. Kennersonb,d John Wiley & Sons Ltd, 2015 aDepartment of Biomedical Science, The cytoplasmic dynein–dynactin genes are attractive candidates for Faculty of Medicine, University of Malaya, b neurodegenerative disorders given their functional role in retrograde Kuala Lumpur, Malaysia, Northcott transport along neurons. The cytoplasmic dynein heavy chain (DYNC1H1) Neuroscience Laboratory, ANZAC Research Institute, and Sydney Medical gene has been implicated in various neurodegenerative disorders, and School, University of Sydney, Sydney, dynactin 1 (DCTN1) genes have been implicated in a wide spectrum of Australia, cDepartment of Medicine, disorders including motor neuron disease, Parkinson’s disease, spinobulbar Faculty of Medicine, University of Malaya, muscular atrophy and hereditary spastic paraplegia. However, the Kuala Lumpur, Malaysia, and dMolecular involvement of other dynactin genes with inherited peripheral neuropathies Medicine Laboratory, Concord Hospital, (IPN) namely, hereditary sensory neuropathy, hereditary motor neuropathy Sydney, Australia and Charcot–Marie–Tooth disease is under reported. We screened eight genes; DCTN1-6 and ACTR1A and ACTR1B in 136 IPN patients using Key words: Charcot–Marie–Tooth – whole-exome sequencing and high-resolution melt (HRM) analysis. -
Plasma Cells in Vitro Generation of Long-Lived Human
Downloaded from http://www.jimmunol.org/ by guest on September 24, 2021 is online at: average * The Journal of Immunology , 32 of which you can access for free at: 2012; 189:5773-5785; Prepublished online 16 from submission to initial decision 4 weeks from acceptance to publication November 2012; doi: 10.4049/jimmunol.1103720 http://www.jimmunol.org/content/189/12/5773 In Vitro Generation of Long-lived Human Plasma Cells Mario Cocco, Sophie Stephenson, Matthew A. Care, Darren Newton, Nicholas A. Barnes, Adam Davison, Andy Rawstron, David R. Westhead, Gina M. Doody and Reuben M. Tooze J Immunol cites 65 articles Submit online. Every submission reviewed by practicing scientists ? is published twice each month by Submit copyright permission requests at: http://www.aai.org/About/Publications/JI/copyright.html Receive free email-alerts when new articles cite this article. Sign up at: http://jimmunol.org/alerts http://jimmunol.org/subscription http://www.jimmunol.org/content/suppl/2012/11/16/jimmunol.110372 0.DC1 This article http://www.jimmunol.org/content/189/12/5773.full#ref-list-1 Information about subscribing to The JI No Triage! Fast Publication! Rapid Reviews! 30 days* Why • • • Material References Permissions Email Alerts Subscription Supplementary The Journal of Immunology The American Association of Immunologists, Inc., 1451 Rockville Pike, Suite 650, Rockville, MD 20852 Copyright © 2012 by The American Association of Immunologists, Inc. All rights reserved. Print ISSN: 0022-1767 Online ISSN: 1550-6606. This information is current as of September 24, 2021. The Journal of Immunology In Vitro Generation of Long-lived Human Plasma Cells Mario Cocco,*,1 Sophie Stephenson,*,1 Matthew A.