Mutations in the Gene Encoding the PML Nuclear Body Protein Sp110

Total Page:16

File Type:pdf, Size:1020Kb

Mutations in the Gene Encoding the PML Nuclear Body Protein Sp110 BRIEF COMMUNICATIONS Mutations in the gene encoding hVOD (Table 1) who met the clinical criteria for VODI (see Supplementary Methods online). The clinical correlates of immuno- the PML nuclear body protein deficiency included Pneumocystis jerovici infection, enteroviral infec- tion or mucocutaneous candidiasis, but there was no evidence of Sp110 are associated with mycobacterial infection. Hepatic VOD was verified by biopsy in at least one individual in each sibship and was indistinguishable clinically immunodeficiency and hepatic and pathologically from the sinusoidal obstruction syndrome described after hematopoietic stem cell transplantation. veno-occlusive disease The B cell immunodeficiency was characterized by evolving severe Tony Roscioli1–3, Simon T Cliffe2, Donald B Bloch4, hypogammaglobulinemia, absent memory (CD19+ CD27+ IgD–) Christopher G Bell2, Glenda Mullan2, Peter J Taylor2, B cells and tonsillar lymph nodes, and circulating CD19+ B cell Maria Sarris5, Joanne Wang6, Jennifer A Donald7, numbers and percentages within the normal range. Absence of lymph Edwin P Kirk8,9, John B Ziegler9,10, Ulrich Salzer11, node germinal centers and tissue plasma cells have been noted as a http://www.nature.com/naturegenetics George B McDonald6, Melanie Wong12, Robert Lindeman2,5,13 consistent finding in autopsies that have been reported on 12 affected & Michael F Buckley1,2,13 individuals, consistent with a block in B cell differentiation (M.W., personal communication). The T cell immunodeficiency was char- We describe mutations in the PML nuclear body protein acterized by reduced numbers of memory (CD4+ CD45RO+ CD27–) Sp110 in the syndrome veno-occlusive disease with T cells (1–2%; normal is 440%) and low or reduced intracellular immunodeficiency, an autosomal recessive disorder T cell cytokine expression (IFNg,1À4% (reference range, 25À30%); of severe hypogammaglobulinemia, combined T and IL2, 1–3% (12–32%); IL4 1–2% (4–7%) and IL10 1–2% (1–6%)) after B cell immunodeficiency, absent lymph node germinal stimulation with phorbol myristate acetate (PMA) and ionomycin. centers, absent tissue plasma cells and hepatic veno-occlusive CD4 and CD8 T cell numbers and percentages and T cell proliferation disease. This is the first report of the involvement of a assays were normal. nuclear body protein in a human primary immunodeficiency We performed homozygosity mapping in four affected individuals Nature Publishing Group Group Nature Publishing 6 and of high-penetrance genetic mutations in hepatic and their parents from families A, B and C after obtaining approval from the relevant institutional ethics committees and informed 200 veno-occlusive disease. © written consent. We mapped VODI to chromosome 2q36.3-37.1. Hepatic veno-occlusive disease with immunodeficiency syndrome Fine-mapping studies identified a conserved haplotype of three (VODI, OMIM235550) is an autosomal recessive primary immuno- short tandem repeat (STR) markers spanning a genomic interval deficiency associated with hepatic vascular occlusion and fibrosis1. of 1.422 Mb (Fig. 1a,b) that contained the gene SP110 (encoding VODI has an estimated frequency of 1:2,500 live births in the Sydney 110-kDa Speckled). SP110 is an immunoregulatory gene expressed in Lebanese population, with 19 cases identified over a period of T and B lymphocytes, lymph nodes, spleen and liver2,3;therefore,we 30 years. VODI is associated with an 85% mortality if unrecognized screened its coding exons for mutations by DNA sequencing. and untreated with intravenous immunoglobulin and Pneumocystis Mutation screening (Supplementary Table 1 and Supplementary jerovici prophylaxis. The association of an immunodeficiency with Methods) identified a homozygous single-base deletion, 642delC hepatic veno-occlusive disease (hVOD) has not been recognized in (P214PfsX15), in exon 5 in affected individuals from families A–C other classes of immunodeficiency, suggesting that hVOD is not a and subsequently in family D (Fig. 1c). No living affected individuals secondary event but is a primary feature of VODI. were available from family E, but the consanguineous parents and We identified six children from five families of Lebanese ethnicity unaffected children were shown to share a heterozygous single-base who presented between 3–7 months of age with either a combined T deletion, 40delC (Q14SfsX25) in exon 2 on a different haplotype and B cell immunodeficiency and/or a personal or family history of background from families A–D. We confirmed that this mutation was 1Centre for Vascular Research, University of New South Wales, Sydney 2052, Australia. 2Molecular & Cytogenetics Unit, Department of Haematology and Genetics, Prince of Wales Hospital, Sydney 2031, Australia. 3Department of Molecular and Clinical Genetics, Royal Prince Alfred Hospital, University of Sydney, Sydney 2050, Australia. 4Center for Immunology and Inflammatory Diseases, Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts 02129, USA. 5School of Medical Sciences, University of New South Wales, Sydney 2052, Australia. 6Fred Hutchinson Cancer Research Center and University of Washington Schools of Medicine & Pharmacy, Seattle, Washington 98109, USA. 7Department of Biological Sciences, Macquarie University, Sydney 2109, Australia. 8Department of Medical Genetics, Sydney Children’s Hospital, Sydney 2031, Australia. 9School of Women’s & Children’s Health, University of New South Wales, Sydney 2052, Australia. 10Department of Immunology & Infectious Diseases, Sydney Children’s Hospital, Sydney 2031, Australia. 11Division of Rheumatology and Clinical Immunology, Medical Centre, University Hospital, Hugstetterstr. 55, 79106 Freiburg, Germany. 12Department of Immunology and Allergy, Children’s Hospital, Westmead 2145, Australia. 13These authors contributed equally to this work. Correspondence should be addressed to T.R. ([email protected]). Received 27 October 2005; accepted 14 March 2006; published online 30 April 2006; doi:10.1038/ng1780 620 VOLUME 38 [ NUMBER 6 [ JUNE 2006 NATURE GENETICS BRIEF COMMUNICATIONS Table 1 Summary of clinical and laboratory data in the VODI families Percentage circulating Serum Ig (g l–1) cells Tcell Age Memory T T cell PHA/ConA cytokine Individual Sex (months) Presentation IgM IgG IgA B T & B cells subsets Response production Current clinical state A II.1 F 5 Immunodeficiency, 0.16 0.5 o0.07 N N – N N – Deceased; recurrent hVOD thrombocytopenia post HSCT and hVOD B II.1 M 7 Immunodeficiency 0.1 0.2 0.07 N N Decreased N N Impaired Well B II.2 F 6 Hepatosplenomegaly 0.09 o0.33 o0.07 17 58 Decreased N N Impaired Mild aminotransferase and ascites elevation C II.1 F 4 Hepatosplenomegaly 0.2 0.55 o0.07 8 79 Decreased N N Impaired Chronic liver disease and and thrombocytopenia portal hypertension D II.1 M 3 hVOD 0.05 o0.33 o0.07 23 79 Decreased N N Impaired Deceased; hemophagocytic syndrome post hepatic transplant for hVOD E I.1 M 3 Immunodeficiency & 0.05 0.8 o0.06 N N – N N – Deceased; enteroviral thrombocytopenia and Pneumocystis jerovici infection PHA: phytohemagglutinin; ConA: concanavalin A; HSCT: hematopoietic stem cell transplantation. http://www.nature.com/naturegenetics homozygous in DNA extracted from archival tissue from EII.1. We did from 642delC homozygous patients compared with their heterozygous not detect either mutation in 50 unrelated Lebanese controls. In siblings and familial controls (Fig. 2j). We did not see any corre- addition, we did not detect any mutations in the coding regions of sponding changes in mRNA levels in the evolutionarily related, SP110 in 89 isolated cases of common variable immunodeficiency of physically adjacent genes SP100 and SP140. Long-range PCR per- European or Middle Eastern origin4. formed on random hexamer-primed cDNA generated from indivi- Sp110 nuclear staining was absent in EBV-transformed B lympho- duals with VODI and heterozygotes showed no evidence of exon cytes from an affected individual with the homozygous 642delC skipping (data not shown). These data are consistent with absence of mutation in exon 5. Sp100 staining was consistent with normal Sp110 without disruption of the PML nuclear body in individuals PML nuclear body numbers (Fig. 2a–h). Protein blot analysis using with VODI. a rat anti-Sp110 antiserum confirmed the absence of the two major Given the association between mutations in SP110 and hVOD, Nature Publishing Group Group Nature Publishing 6 isoforms, Sp110b and Sp110c, in affected cell lines (Fig. 2i). A we were interested to determine if there was an association between quantitative TaqMan real-time PCR assay demonstrated significantly Sp110 alleles and the risk of hVOD after hematopoietic stem cell 200 © reduced SP110 mRNA levels in B lymphoblastoid cell lines established transplantation. We performed a targeted SP110 SNP association study using 69 SNPs with an average inter- SNP distance of 0.826 kb in a cohort of 47 a Family A Family BFamily C Family D Family E affected individuals and 62 controls who had D2S133 1 2 4 2 5 4 5 4 4 5 2 4 received standardized myeloablative condi- D2S2354 1 0 9 0 2 3 0 3 9 9 9 0 5 S2S362 2 1 2 1 2 1 2 1 4 1 2 3 3 2 3 2 tioning therapy .Measuresofassociation AFMA283YB1 3 1 2 1 3 1 1 1 4 1 2 4 4 2 4 2 AFMA289YE1 2 1 2 1 3 1 1 1 2 1 2 3 7 4 3 4 between hVOD and alleles of SP110 did not AFMB329WE9 5 4 3 4 1 4 4 4 1 4 3 2 2 5 3 5 AFM277WG9 3 2 4 2 3 2 3 2 4 2 1 2 2 3 1 3 reach statistical significance. D2S396 9 6 8 6 7 6 7 6 9 6 7 6 na na na na AFMC004XH5 1 3 2 3 2 3 1 3 4 3 4 3 2 5 6 5 AFM324VC9 2 3 4 3 2 5 1 5 3 3 1 3 7 5 6 5 D2S206 6 2 8 2 0 5 8 3 6 5 8 9 D2S2202 8 8 7 8 6 6 6 6 6 6 6 6 D2S133 2 2 4 4 5 4 5 4 Figure 1 SP110 mapping and mutation analysis.
Recommended publications
  • Activated Peripheral-Blood-Derived Mononuclear Cells
    Transcription factor expression in lipopolysaccharide- activated peripheral-blood-derived mononuclear cells Jared C. Roach*†, Kelly D. Smith*‡, Katie L. Strobe*, Stephanie M. Nissen*, Christian D. Haudenschild§, Daixing Zhou§, Thomas J. Vasicek¶, G. A. Heldʈ, Gustavo A. Stolovitzkyʈ, Leroy E. Hood*†, and Alan Aderem* *Institute for Systems Biology, 1441 North 34th Street, Seattle, WA 98103; ‡Department of Pathology, University of Washington, Seattle, WA 98195; §Illumina, 25861 Industrial Boulevard, Hayward, CA 94545; ¶Medtronic, 710 Medtronic Parkway, Minneapolis, MN 55432; and ʈIBM Computational Biology Center, P.O. Box 218, Yorktown Heights, NY 10598 Contributed by Leroy E. Hood, August 21, 2007 (sent for review January 7, 2007) Transcription factors play a key role in integrating and modulating system. In this model system, we activated peripheral-blood-derived biological information. In this study, we comprehensively measured mononuclear cells, which can be loosely termed ‘‘macrophages,’’ the changing abundances of mRNAs over a time course of activation with lipopolysaccharide (LPS). We focused on the precise mea- of human peripheral-blood-derived mononuclear cells (‘‘macro- surement of mRNA concentrations. There is currently no high- phages’’) with lipopolysaccharide. Global and dynamic analysis of throughput technology that can precisely and sensitively measure all transcription factors in response to a physiological stimulus has yet to mRNAs in a system, although such technologies are likely to be be achieved in a human system, and our efforts significantly available in the near future. To demonstrate the potential utility of advanced this goal. We used multiple global high-throughput tech- such technologies, and to motivate their development and encour- nologies for measuring mRNA levels, including massively parallel age their use, we produced data from a combination of two distinct signature sequencing and GeneChip microarrays.
    [Show full text]
  • A Computational Approach for Defining a Signature of Β-Cell Golgi Stress in Diabetes Mellitus
    Page 1 of 781 Diabetes A Computational Approach for Defining a Signature of β-Cell Golgi Stress in Diabetes Mellitus Robert N. Bone1,6,7, Olufunmilola Oyebamiji2, Sayali Talware2, Sharmila Selvaraj2, Preethi Krishnan3,6, Farooq Syed1,6,7, Huanmei Wu2, Carmella Evans-Molina 1,3,4,5,6,7,8* Departments of 1Pediatrics, 3Medicine, 4Anatomy, Cell Biology & Physiology, 5Biochemistry & Molecular Biology, the 6Center for Diabetes & Metabolic Diseases, and the 7Herman B. Wells Center for Pediatric Research, Indiana University School of Medicine, Indianapolis, IN 46202; 2Department of BioHealth Informatics, Indiana University-Purdue University Indianapolis, Indianapolis, IN, 46202; 8Roudebush VA Medical Center, Indianapolis, IN 46202. *Corresponding Author(s): Carmella Evans-Molina, MD, PhD ([email protected]) Indiana University School of Medicine, 635 Barnhill Drive, MS 2031A, Indianapolis, IN 46202, Telephone: (317) 274-4145, Fax (317) 274-4107 Running Title: Golgi Stress Response in Diabetes Word Count: 4358 Number of Figures: 6 Keywords: Golgi apparatus stress, Islets, β cell, Type 1 diabetes, Type 2 diabetes 1 Diabetes Publish Ahead of Print, published online August 20, 2020 Diabetes Page 2 of 781 ABSTRACT The Golgi apparatus (GA) is an important site of insulin processing and granule maturation, but whether GA organelle dysfunction and GA stress are present in the diabetic β-cell has not been tested. We utilized an informatics-based approach to develop a transcriptional signature of β-cell GA stress using existing RNA sequencing and microarray datasets generated using human islets from donors with diabetes and islets where type 1(T1D) and type 2 diabetes (T2D) had been modeled ex vivo. To narrow our results to GA-specific genes, we applied a filter set of 1,030 genes accepted as GA associated.
    [Show full text]
  • Identification of Potential Key Genes and Pathway Linked with Sporadic Creutzfeldt-Jakob Disease Based on Integrated Bioinformatics Analyses
    medRxiv preprint doi: https://doi.org/10.1101/2020.12.21.20248688; this version posted December 24, 2020. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity. All rights reserved. No reuse allowed without permission. Identification of potential key genes and pathway linked with sporadic Creutzfeldt-Jakob disease based on integrated bioinformatics analyses Basavaraj Vastrad1, Chanabasayya Vastrad*2 , Iranna Kotturshetti 1. Department of Biochemistry, Basaveshwar College of Pharmacy, Gadag, Karnataka 582103, India. 2. Biostatistics and Bioinformatics, Chanabasava Nilaya, Bharthinagar, Dharwad 580001, Karanataka, India. 3. Department of Ayurveda, Rajiv Gandhi Education Society`s Ayurvedic Medical College, Ron, Karnataka 562209, India. * Chanabasayya Vastrad [email protected] Ph: +919480073398 Chanabasava Nilaya, Bharthinagar, Dharwad 580001 , Karanataka, India NOTE: This preprint reports new research that has not been certified by peer review and should not be used to guide clinical practice. medRxiv preprint doi: https://doi.org/10.1101/2020.12.21.20248688; this version posted December 24, 2020. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity. All rights reserved. No reuse allowed without permission. Abstract Sporadic Creutzfeldt-Jakob disease (sCJD) is neurodegenerative disease also called prion disease linked with poor prognosis. The aim of the current study was to illuminate the underlying molecular mechanisms of sCJD. The mRNA microarray dataset GSE124571 was downloaded from the Gene Expression Omnibus database. Differentially expressed genes (DEGs) were screened.
    [Show full text]
  • Analysis of Inherited and Somatic Variants to Decipher Canine Complex Traits
    Digital Comprehensive Summaries of Uppsala Dissertations from the Faculty of Medicine 1454 Analysis of inherited and somatic variants to decipher canine complex traits KATE MEGQUIER ACTA UNIVERSITATIS UPSALIENSIS ISSN 1651-6206 ISBN 978-91-513-0310-9 UPPSALA urn:nbn:se:uu:diva-347165 2018 Dissertation presented at Uppsala University to be publicly examined in B:22, BMC, Husargatan 3, Uppsala, Monday, 21 May 2018 at 13:15 for the degree of Doctor of Philosophy (Faculty of Medicine). The examination will be conducted in English. Faculty examiner: David Sargan (University of Cambridge). Abstract Megquier, K. 2018. Analysis of inherited and somatic variants to decipher canine complex traits. Digital Comprehensive Summaries of Uppsala Dissertations from the Faculty of Medicine 1454. 67 pp. Uppsala: Acta Universitatis Upsaliensis. ISBN 978-91-513-0310-9. This thesis presents several investigations of the dog as a model for complex diseases, focusing on cancers and the effect of genetic risk factors on clinical presentation. In Papers I and II, we performed genome-wide association studies (GWAS) to identify germline risk factors predisposing US golden retrievers to hemangiosarcoma (HSA) and B- cell lymphoma (BLSA). Paper I identified two loci predisposing to both HSA and BLSA, approximately 4 megabases (Mb) apart on chromosome 5. Carrying the risk haplotype at these loci was associated with separate changes in gene expression, both relating to T-cell activation and proliferation. Paper II followed up on the HSA GWAS by performing a meta-analysis with additional cases and controls. This confirmed three previously reported GWAS loci for HSA and revealed three new loci, the most significant on chromosome 18.
    [Show full text]
  • Genome-Wide Identification of Directed Gene Networks Using Large-Scale Population Genomics Data
    ARTICLE DOI: 10.1038/s41467-018-05452-6 OPEN Genome-wide identification of directed gene networks using large-scale population genomics data René Luijk1, Koen F. Dekkers1, Maarten van Iterson1, Wibowo Arindrarto 2, Annique Claringbould3, Paul Hop1, BIOS Consortium#, Dorret I. Boomsma4, Cornelia M. van Duijn5, Marleen M.J. van Greevenbroek6,7, Jan H. Veldink8, Cisca Wijmenga3, Lude Franke 3, Peter A.C. ’t Hoen 9, Rick Jansen 10, Joyce van Meurs11, Hailiang Mei2, P. Eline Slagboom1, Bastiaan T. Heijmans 1 & Erik W. van Zwet12 1234567890():,; Identification of causal drivers behind regulatory gene networks is crucial in understanding gene function. Here, we develop a method for the large-scale inference of gene–gene interactions in observational population genomics data that are both directed (using local genetic instruments as causal anchors, akin to Mendelian Randomization) and specific (by controlling for linkage disequilibrium and pleiotropy). Analysis of genotype and whole-blood RNA-sequencing data from 3072 individuals identified 49 genes as drivers of downstream transcriptional changes (Wald P <7×10−10), among which transcription factors were over- represented (Fisher’s P = 3.3 × 10−7). Our analysis suggests new gene functions and targets, including for SENP7 (zinc-finger genes involved in retroviral repression) and BCL2A1 (target genes possibly involved in auditory dysfunction). Our work highlights the utility of population genomics data in deriving directed gene expression networks. A resource of trans-effects for all 6600 genes with a genetic instrument can be explored individually using a web-based browser. 1 Molecular Epidemiology Section, Department of Medical Statistics and Bioinformatics, Leiden University Medical Center, Leiden, Zuid-Holland 2333 ZC, The Netherlands.
    [Show full text]
  • Transcriptional Profile of Human Anti-Inflamatory Macrophages Under Homeostatic, Activating and Pathological Conditions
    UNIVERSIDAD COMPLUTENSE DE MADRID FACULTAD DE CIENCIAS QUÍMICAS Departamento de Bioquímica y Biología Molecular I TESIS DOCTORAL Transcriptional profile of human anti-inflamatory macrophages under homeostatic, activating and pathological conditions Perfil transcripcional de macrófagos antiinflamatorios humanos en condiciones de homeostasis, activación y patológicas MEMORIA PARA OPTAR AL GRADO DE DOCTOR PRESENTADA POR Víctor Delgado Cuevas Directores María Marta Escribese Alonso Ángel Luís Corbí López Madrid, 2017 © Víctor Delgado Cuevas, 2016 Universidad Complutense de Madrid Facultad de Ciencias Químicas Dpto. de Bioquímica y Biología Molecular I TRANSCRIPTIONAL PROFILE OF HUMAN ANTI-INFLAMMATORY MACROPHAGES UNDER HOMEOSTATIC, ACTIVATING AND PATHOLOGICAL CONDITIONS Perfil transcripcional de macrófagos antiinflamatorios humanos en condiciones de homeostasis, activación y patológicas. Víctor Delgado Cuevas Tesis Doctoral Madrid 2016 Universidad Complutense de Madrid Facultad de Ciencias Químicas Dpto. de Bioquímica y Biología Molecular I TRANSCRIPTIONAL PROFILE OF HUMAN ANTI-INFLAMMATORY MACROPHAGES UNDER HOMEOSTATIC, ACTIVATING AND PATHOLOGICAL CONDITIONS Perfil transcripcional de macrófagos antiinflamatorios humanos en condiciones de homeostasis, activación y patológicas. Este trabajo ha sido realizado por Víctor Delgado Cuevas para optar al grado de Doctor en el Centro de Investigaciones Biológicas de Madrid (CSIC), bajo la dirección de la Dra. María Marta Escribese Alonso y el Dr. Ángel Luís Corbí López Fdo. Dra. María Marta Escribese
    [Show full text]
  • 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.
    [Show full text]
  • Table S1. 103 Ferroptosis-Related Genes Retrieved from the Genecards
    Table S1. 103 ferroptosis-related genes retrieved from the GeneCards. Gene Symbol Description Category GPX4 Glutathione Peroxidase 4 Protein Coding AIFM2 Apoptosis Inducing Factor Mitochondria Associated 2 Protein Coding TP53 Tumor Protein P53 Protein Coding ACSL4 Acyl-CoA Synthetase Long Chain Family Member 4 Protein Coding SLC7A11 Solute Carrier Family 7 Member 11 Protein Coding VDAC2 Voltage Dependent Anion Channel 2 Protein Coding VDAC3 Voltage Dependent Anion Channel 3 Protein Coding ATG5 Autophagy Related 5 Protein Coding ATG7 Autophagy Related 7 Protein Coding NCOA4 Nuclear Receptor Coactivator 4 Protein Coding HMOX1 Heme Oxygenase 1 Protein Coding SLC3A2 Solute Carrier Family 3 Member 2 Protein Coding ALOX15 Arachidonate 15-Lipoxygenase Protein Coding BECN1 Beclin 1 Protein Coding PRKAA1 Protein Kinase AMP-Activated Catalytic Subunit Alpha 1 Protein Coding SAT1 Spermidine/Spermine N1-Acetyltransferase 1 Protein Coding NF2 Neurofibromin 2 Protein Coding YAP1 Yes1 Associated Transcriptional Regulator Protein Coding FTH1 Ferritin Heavy Chain 1 Protein Coding TF Transferrin Protein Coding TFRC Transferrin Receptor Protein Coding FTL Ferritin Light Chain Protein Coding CYBB Cytochrome B-245 Beta Chain Protein Coding GSS Glutathione Synthetase Protein Coding CP Ceruloplasmin Protein Coding PRNP Prion Protein Protein Coding SLC11A2 Solute Carrier Family 11 Member 2 Protein Coding SLC40A1 Solute Carrier Family 40 Member 1 Protein Coding STEAP3 STEAP3 Metalloreductase Protein Coding ACSL1 Acyl-CoA Synthetase Long Chain Family Member 1 Protein
    [Show full text]
  • SP110 and PMP22 Polymorphisms Are Associated with Tuberculosis Risk in a Chinese-Tibetan Population
    www.impactjournals.com/oncotarget/ Oncotarget, Vol. 7, No. 40 Research Paper SP110 and PMP22 polymorphisms are associated with tuberculosis risk in a Chinese-Tibetan population Guoxia Ren1,2, Jiangtao You3, Xianfeng Gong2, Xiucheng Zhang2, Lin Zhao2, Xianglan Wei2, Tianbo Jin4,5,6, Mingwei Chen1 1Department of Respiratory and Critical Care Medicine, The First Affiliated Hospital of School of Medicine of Xi’an Jiaotong University, Xi’an 710061, People’s Republic of China 2Department of Intergrated Traditional Chinese and Western Medicine, Xi’an Chest Hospital, Xi’an 710061, People’s Republic of China 3Department of Thoracic Surgery, First Affiliated Hospital of Xi’an Jiaotong University, Xi’an 710061, People’s Republic of China 4School of Life Sciences, Northwest University, Xi’an 710069, People’s Republic of China 5Key Laboratory of High Altitude Environment and Genes Related to Diseases of Tibet Autonomous Region, School of Medicine, Tibet University for Nationalities, Xianyang 712082, People’s Republic of China 6Xi’an Tiangen Precision Medical Institute, Xi’an 710075, People’s Republic of China Correspondence to: Mingwei Chen, email: [email protected], [email protected] Keywords: SP110, PMP22, single nucleotide polymorphism (SNP), tuberculosis (TB), Tibet Received: May 30, 2016 Accepted: July 19, 2016 Published: September 6, 2016 ABSTRACT Susceptibility to tuberculosis (TB) is partially dependent on host genetic variability. SP110 and PMP22 are candidate genes identified in this study as associated with human susceptibility to TB. Here we performed an association analysis in a case-control study of a Tibetan population (217 cases and 383 controls). Using bioinformatics methods, we identified two SNPs in SP110 that may decrease susceptibility to TB (rs4327230, p<0.001, OR: 0.37, 95%CI: 0.25-0.55; rs2114591, p<0.001, OR: 0.59, 95%CI: 0.45-0.78), whereas one SNP in PMP22 appeared to increase TB risk (rs13422, p=0.003, OR: 1.45, 95%CI: 1.14-1.84).
    [Show full text]
  • Activation of Evi1 Inhibits Cell Cycle Progression and Differentiation of Hematopoietic Progenitor Cells
    Leukemia (2013) 27, 1127–1138 & 2013 Macmillan Publishers Limited All rights reserved 0887-6924/13 www.nature.com/leu ORIGINAL ARTICLE Activation of Evi1 inhibits cell cycle progression and differentiation of hematopoietic progenitor cells OS Kustikova1, A Schwarzer1, M Stahlhut1, MH Brugman1,2, T Neumann1, M Yang1,ZLi1, A Schambach1, N Heinz1, S Gerdes3, I Roeder3,TCHa1, D Steinemann4, B Schlegelberger4 and C Baum1 The transcription factor Evi1 has an outstanding role in the formation and transformation of hematopoietic cells. Its activation by chromosomal rearrangement induces a myelodysplastic syndrome with progression to acute myeloid leukemia of poor prognosis. Similarly, retroviral insertion-mediated upregulation confers a competitive advantage to transplanted hematopoietic cells, triggering clonal dominance or even leukemia. To study the molecular and functional response of primary murine hematopoietic progenitor cells to the activation of Evi1, we established an inducible lentiviral expression system. EVI1 had a biphasic effect with initial growth inhibition and retarded myeloid differentiation linked to enhanced survival of myeloblasts in long-term cultures. Gene expression microarray analysis revealed that within 24 h EVI1 upregulated ‘stemness’ genes characteristic for long-term hematopoietic stem cells (Aldh1a1, Abca1, Cdkn1b, Cdkn1c, Epcam, among others) but downregulated genes involved in DNA replication (Cyclins and their kinases, among others) and DNA repair (including Brca1, Brca2, Rad51). Cell cycle analysis demonstrated EVI1’s anti-proliferative effect to be strictly dose-dependent with accumulation of cells in G0/G1, but preservation of a small fraction of long-term proliferating cells. Although confined to cultured cells, our study contributes to new hypotheses addressing the mechanisms and molecular targets involved in preleukemic clonal dominance or leukemic transformation by Evi1.
    [Show full text]
  • Developing a Network View of Type 2 Diabetes Risk Pathways Through Integration of Genetic, Genomic and Functional Data Juan Fernández-Tajes1†, Kyle J
    Fernández-Tajes et al. Genome Medicine (2019) 11:19 https://doi.org/10.1186/s13073-019-0628-8 RESEARCH Open Access Developing a network view of type 2 diabetes risk pathways through integration of genetic, genomic and functional data Juan Fernández-Tajes1†, Kyle J. Gaulton2†, Martijn van de Bunt1,3,8, Jason Torres1,3, Matthias Thurner1,3, Anubha Mahajan1, Anna L. Gloyn1,3,4, Kasper Lage5,6,7 and Mark I. McCarthy1,3,4* Abstract Background: Genome-wide association studies (GWAS) have identified several hundred susceptibility loci for type 2 diabetes (T2D). One critical, but unresolved, issue concerns the extent to which the mechanisms through which these diverse signals influencing T2D predisposition converge on a limited set of biological processes. However, the causal variants identified by GWAS mostly fall into a non-coding sequence, complicating the task of defining the effector transcripts through which they operate. Methods: Here, we describe implementation of an analytical pipeline to address this question. First, we integrate multiple sources of genetic, genomic and biological data to assign positional candidacy scores to the genes that map to T2D GWAS signals. Second, we introduce genes with high scores as seeds within a network optimization algorithm (the asymmetric prize-collecting Steiner tree approach) which uses external, experimentally confirmed protein-protein interaction (PPI) data to generate high-confidence sub-networks. Third, we use GWAS data to test the T2D association enrichment of the “non-seed” proteins introduced
    [Show full text]
  • Network Mining Approach to Cancer Biomarker Discovery
    NETWORK MINING APPROACH TO CANCER BIOMARKER DISCOVERY THESIS Presented in Partial Fulfillment of the Requirements for the Degree Master of Science in the Graduate School of The Ohio State University By Praneeth Uppalapati, B.E. Graduate Program in Computer Science and Engineering The Ohio State University 2010 Thesis Committee: Dr. Kun Huang, Advisor Dr. Raghu Machiraju Copyright by Praneeth Uppalapati 2010 ABSTRACT With the rapid development of high throughput gene expression profiling technology, molecule profiling has become a powerful tool to characterize disease subtypes and discover gene signatures. Most existing gene signature discovery methods apply statistical methods to select genes whose expression values can differentiate different subject groups. However, a drawback of these approaches is that the selected genes are not functionally related and hence cannot reveal biological mechanism behind the difference in the patient groups. Gene co-expression network analysis can be used to mine functionally related sets of genes that can be marked as potential biomarkers through survival analysis. We present an efficient heuristic algorithm EigenCut that exploits the properties of gene co- expression networks to mine functionally related and dense modules of genes. We apply this method to brain tumor (Glioblastoma Multiforme) study to obtain functionally related clusters. If functional groups of genes with predictive power on patient prognosis can be identified, insights on the mechanisms related to metastasis in GBM can be obtained and better therapeutical plan can be developed. We predicted potential biomarkers by dividing the patients into two groups based on their expression profiles over the genes in the clusters and comparing their survival outcome through survival analysis.
    [Show full text]