BAC Array CGH in Patients with Velocardiofacial Syndrome-Like
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The Title of the Article
Mechanism-Anchored Profiling Derived from Epigenetic Networks Predicts Outcome in Acute Lymphoblastic Leukemia Xinan Yang, PhD1, Yong Huang, MD1, James L Chen, MD1, Jianming Xie, MSc2, Xiao Sun, PhD2, Yves A Lussier, MD1,3,4§ 1Center for Biomedical Informatics and Section of Genetic Medicine, Department of Medicine, The University of Chicago, Chicago, IL 60637 USA 2State Key Laboratory of Bioelectronics, Southeast University, 210096 Nanjing, P.R.China 3The University of Chicago Cancer Research Center, and The Ludwig Center for Metastasis Research, The University of Chicago, Chicago, IL 60637 USA 4The Institute for Genomics and Systems Biology, and the Computational Institute, The University of Chicago, Chicago, IL 60637 USA §Corresponding author Email addresses: XY: [email protected] YH: [email protected] JC: [email protected] JX: [email protected] XS: [email protected] YL: [email protected] - 1 - Abstract Background Current outcome predictors based on “molecular profiling” rely on gene lists selected without consideration for their molecular mechanisms. This study was designed to demonstrate that we could learn about genes related to a specific mechanism and further use this knowledge to predict outcome in patients – a paradigm shift towards accurate “mechanism-anchored profiling”. We propose a novel algorithm, PGnet, which predicts a tripartite mechanism-anchored network associated to epigenetic regulation consisting of phenotypes, genes and mechanisms. Genes termed as GEMs in this network meet all of the following criteria: (i) they are co-expressed with genes known to be involved in the biological mechanism of interest, (ii) they are also differentially expressed between distinct phenotypes relevant to the study, and (iii) as a biomodule, genes correlate with both the mechanism and the phenotype. -
Regulation and Evolutionary Origins of Repulsive
REGULATION AND EVOLUTIONARY ORIGINS OF REPULSIVE GUIDANCE MOLECULE C / HEMOJUVELIN EXPRESSION: A MUSCLE-ENRICHED GENE INVOLVED IN IRON METABOLISM by Christopher John Severyn B.A. (University of California, Berkeley) 2002 A dissertation submitted in partial satisfaction of the requirements for the degree of Doctor of Philosophy in BIOCHEMISTRY AND MOLECULAR BIOLOGY Presented to the Department of Biochemistry & Molecular Biology OREGON HEALTH & SCIENCE UNIVERSITY School of Medicine July 2010 Department of Biochemistry & Molecular Biology, School of Medicine OREGON HEALTH & SCIENCE UNIVERSITY _________________________________________________ CERTIFICATE OF APPROVAL _________________________________________________ This is to certify that the Ph.D. dissertation of Christopher J. Severyn has been approved by the following: __________________________ Peter Rotwein, M.D., dissertation advisor Professor of Biochemistry and Department Chair __________________________ Maureen Hoatlin, Ph.D., committee chair Associate Professor of Biochemistry __________________________ Matt Thayer, Ph.D., committee member Professor of Biochemistry __________________________ Ujwal Shinde, Ph.D., committee member Professor of Biochemistry __________________________ Jim Lundblad, M.D., Ph.D., committee member Associate Professor of Medicine and Chief of Endocrinology TABLE OF CONTENTS Page List of Tables iii List of Figures iv List of Abbreviations vii Acknowledgements xiv Publications arising from this Dissertation xvi Abstract xvii Key words xix Chapter 1: Introduction 1. 1 General Overview 2 1. 2 Expression and Regulation of RGMc 3 1. 3 Gene Regulation: Transcription from an evolutionary perspective 4 1. 4 Gene Regulation: Translation 6 1. 5 Iron Metabolism in Eukaryotes 6 1. 6 Dissertation Overview 7 Chapter 2: Repulsive Guidance Molecule Family 2. 1 Summary 15 2. 2 Introduction 16 2. 3 RGMa 16 2. 4 RGMb 21 2. -
Cross-Modulatory Actions of Cell Cycle Machinery on Estrogen Receptor-Α Level and Transcriptional Activity in Breast Cancer Cells
CROSS-MODULATORY ACTIONS OF CELL CYCLE MACHINERY ON ESTROGEN RECEPTOR-α LEVEL AND TRANSCRIPTIONAL ACTIVITY IN BREAST CANCER CELLS BY SHWETA BHATT DISSERTATION Submitted In Partial Fulfillment of the Requirements for the Degree of Doctor of Philosophy in Biochemistry in the Graduate College of the University of Illinois at Urbana-Champaign, 2010 Urbana, Illinois Doctoral Committee: Professor Benita S. Katzenellenbogen (Chair) Professor David J. Shapiro Professor Milan K. Bagchi Professor Paul J. Hergenrother THESIS ABSTRACT Breast cancer is one of the most highly diagnosed cancers in women and the second largest cause of death of women in United States. The anti-estrogen tamoxifen which blocks gene expression through estradiol bound ERα, and hence the growth stimulatory effects of estradiol, has been widely used for decades for treating patients with ERα positive or hormone dependent breast cancer. Despite its obvious benefits, in as high as 40% of the patients receiving tamoxifen therapy there is an eventual relapse of the disease largely due to acquired resistance to the drug, underlying mechanism for which is rather poorly understood. Elucidating the molecular basis underlying “acquired tamoxifen resistance” and agonistic effects of tamoxifen on cellular growth was the primary focus of my doctoral research. We addressed this by two approaches, one being studying the molecular mechanism for the regulation of cellular levels of ERα so as to prevent its loss in ERα positive or restore its levels in ERα negative breast cancers and second to investigate the role of tamoxifen in modulating the expression of ERα target genes independent of estradiol as a function of its stimulatory or estrogenic effects on breast cancer cell growth. -
Aneuploidy: Using Genetic Instability to Preserve a Haploid Genome?
Health Science Campus FINAL APPROVAL OF DISSERTATION Doctor of Philosophy in Biomedical Science (Cancer Biology) Aneuploidy: Using genetic instability to preserve a haploid genome? Submitted by: Ramona Ramdath In partial fulfillment of the requirements for the degree of Doctor of Philosophy in Biomedical Science Examination Committee Signature/Date Major Advisor: David Allison, M.D., Ph.D. Academic James Trempe, Ph.D. Advisory Committee: David Giovanucci, Ph.D. Randall Ruch, Ph.D. Ronald Mellgren, Ph.D. Senior Associate Dean College of Graduate Studies Michael S. Bisesi, Ph.D. Date of Defense: April 10, 2009 Aneuploidy: Using genetic instability to preserve a haploid genome? Ramona Ramdath University of Toledo, Health Science Campus 2009 Dedication I dedicate this dissertation to my grandfather who died of lung cancer two years ago, but who always instilled in us the value and importance of education. And to my mom and sister, both of whom have been pillars of support and stimulating conversations. To my sister, Rehanna, especially- I hope this inspires you to achieve all that you want to in life, academically and otherwise. ii Acknowledgements As we go through these academic journeys, there are so many along the way that make an impact not only on our work, but on our lives as well, and I would like to say a heartfelt thank you to all of those people: My Committee members- Dr. James Trempe, Dr. David Giovanucchi, Dr. Ronald Mellgren and Dr. Randall Ruch for their guidance, suggestions, support and confidence in me. My major advisor- Dr. David Allison, for his constructive criticism and positive reinforcement. -
ARTICLE Complex Inheritance Pattern Resembling Autosomal Recessive Inheritance Involving a Microdeletion in Thrombocytopenia– Absent Radius Syndrome
ARTICLE Complex Inheritance Pattern Resembling Autosomal Recessive Inheritance Involving a Microdeletion in Thrombocytopenia– Absent Radius Syndrome Eva Klopocki,* Harald Schulze,* Gabriele Strauß, Claus-Eric Ott, Judith Hall, Fabienne Trotier, Silke Fleischhauer, Lynn Greenhalgh, Ruth A. Newbury-Ecob, Luitgard M. Neumann, Rolf Habenicht, Rainer Ko¨nig, Eva Seemanova, Andre´ Megarbane, Hans-Hilger Ropers, Reinhard Ullmann, Denise Horn, and Stefan Mundlos Thrombocytopenia–absent radius (TAR) syndrome is characterized by hypomegakaryocytic thrombocytopenia and bi- lateral radial aplasia in the presence of both thumbs. Other frequent associations are congenital heart disease and a high incidence of cow’s milk intolerance. Evidence for autosomal recessive inheritance comes from families with several affected individuals born to unaffected parents, but several other observations argue for a more complex pattern of inheritance. In this study, we describe a common interstitial microdeletion of 200 kb on chromosome 1q21.1 in all 30 investigated patients with TAR syndrome, detected by microarray-based comparative genomic hybridization. Analysis of the parents revealed that this deletion occurred de novo in 25% of affected individuals. Intriguingly, inheritance of the deletion along the maternal line as well as the paternal line was observed. The absence of this deletion in a cohort of control individuals argues for a specific role played by the microdeletion in the pathogenesis of TAR syndrome. We hypothesize that TAR syndrome is associated with a deletion on chromosome 1q21.1 but that the phenotype develops only in the presence of an additional as-yet-unknown modifier (mTAR). Thrombocytopenia–absent radius (TAR) syndrome (MIM Cow’s milk allergy or intolerance appears to be relatively 274000) is a clinically well-characterized malformation common among patients with TAR syndrome and may syndrome. -
Open Data for Differential Network Analysis in Glioma
International Journal of Molecular Sciences Article Open Data for Differential Network Analysis in Glioma , Claire Jean-Quartier * y , Fleur Jeanquartier y and Andreas Holzinger Holzinger Group HCI-KDD, Institute for Medical Informatics, Statistics and Documentation, Medical University Graz, Auenbruggerplatz 2/V, 8036 Graz, Austria; [email protected] (F.J.); [email protected] (A.H.) * Correspondence: [email protected] These authors contributed equally to this work. y Received: 27 October 2019; Accepted: 3 January 2020; Published: 15 January 2020 Abstract: The complexity of cancer diseases demands bioinformatic techniques and translational research based on big data and personalized medicine. Open data enables researchers to accelerate cancer studies, save resources and foster collaboration. Several tools and programming approaches are available for analyzing data, including annotation, clustering, comparison and extrapolation, merging, enrichment, functional association and statistics. We exploit openly available data via cancer gene expression analysis, we apply refinement as well as enrichment analysis via gene ontology and conclude with graph-based visualization of involved protein interaction networks as a basis for signaling. The different databases allowed for the construction of huge networks or specified ones consisting of high-confidence interactions only. Several genes associated to glioma were isolated via a network analysis from top hub nodes as well as from an outlier analysis. The latter approach highlights a mitogen-activated protein kinase next to a member of histondeacetylases and a protein phosphatase as genes uncommonly associated with glioma. Cluster analysis from top hub nodes lists several identified glioma-associated gene products to function within protein complexes, including epidermal growth factors as well as cell cycle proteins or RAS proto-oncogenes. -
In This Table Protein Name, Uniprot Code, Gene Name P-Value
Supplementary Table S1: In this table protein name, uniprot code, gene name p-value and Fold change (FC) for each comparison are shown, for 299 of the 301 significantly regulated proteins found in both comparisons (p-value<0.01, fold change (FC) >+/-0.37) ALS versus control and FTLD-U versus control. Two uncharacterized proteins have been excluded from this list Protein name Uniprot Gene name p value FC FTLD-U p value FC ALS FTLD-U ALS Cytochrome b-c1 complex P14927 UQCRB 1.534E-03 -1.591E+00 6.005E-04 -1.639E+00 subunit 7 NADH dehydrogenase O95182 NDUFA7 4.127E-04 -9.471E-01 3.467E-05 -1.643E+00 [ubiquinone] 1 alpha subcomplex subunit 7 NADH dehydrogenase O43678 NDUFA2 3.230E-04 -9.145E-01 2.113E-04 -1.450E+00 [ubiquinone] 1 alpha subcomplex subunit 2 NADH dehydrogenase O43920 NDUFS5 1.769E-04 -8.829E-01 3.235E-05 -1.007E+00 [ubiquinone] iron-sulfur protein 5 ARF GTPase-activating A0A0C4DGN6 GIT1 1.306E-03 -8.810E-01 1.115E-03 -7.228E-01 protein GIT1 Methylglutaconyl-CoA Q13825 AUH 6.097E-04 -7.666E-01 5.619E-06 -1.178E+00 hydratase, mitochondrial ADP/ATP translocase 1 P12235 SLC25A4 6.068E-03 -6.095E-01 3.595E-04 -1.011E+00 MIC J3QTA6 CHCHD6 1.090E-04 -5.913E-01 2.124E-03 -5.948E-01 MIC J3QTA6 CHCHD6 1.090E-04 -5.913E-01 2.124E-03 -5.948E-01 Protein kinase C and casein Q9BY11 PACSIN1 3.837E-03 -5.863E-01 3.680E-06 -1.824E+00 kinase substrate in neurons protein 1 Tubulin polymerization- O94811 TPPP 6.466E-03 -5.755E-01 6.943E-06 -1.169E+00 promoting protein MIC C9JRZ6 CHCHD3 2.912E-02 -6.187E-01 2.195E-03 -9.781E-01 Mitochondrial 2- -
SZDB: a Database for Schizophrenia Genetic Research
Schizophrenia Bulletin vol. 43 no. 2 pp. 459–471, 2017 doi:10.1093/schbul/sbw102 Advance Access publication July 22, 2016 SZDB: A Database for Schizophrenia Genetic Research Yong Wu1,2, Yong-Gang Yao1–4, and Xiong-Jian Luo*,1,2,4 1Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences and Yunnan Province, Kunming Institute of Zoology, Kunming, China; 2Kunming College of Life Science, University of Chinese Academy of Sciences, Kunming, China; 3CAS Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai, China 4YGY and XJL are co-corresponding authors who jointly directed this work. *To whom correspondence should be addressed; Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan 650223, China; tel: +86-871-68125413, fax: +86-871-68125413, e-mail: [email protected] Schizophrenia (SZ) is a debilitating brain disorder with a Introduction complex genetic architecture. Genetic studies, especially Schizophrenia (SZ) is a severe mental disorder charac- recent genome-wide association studies (GWAS), have terized by abnormal perceptions, incoherent or illogi- identified multiple variants (loci) conferring risk to SZ. cal thoughts, and disorganized speech and behavior. It However, how to efficiently extract meaningful biological affects approximately 0.5%–1% of the world populations1 information from bulk genetic findings of SZ remains a and is one of the leading causes of disability worldwide.2–4 major challenge. There is a pressing -
Supplementary Materials and Tables a and B
SUPPLEMENTARY MATERIAL 1 Table A. Main characteristics of the subset of 23 AML patients studied by high-density arrays (subset A) WBC BM blasts MYST3- MLL Age/Gender WHO / FAB subtype Karyotype FLT3-ITD NPM status (x109/L) (%) CREBBP status 1 51 / F M4 NA 21 78 + - G A 2 28 / M M4 t(8;16)(p11;p13) 8 92 + - G G 3 53 / F M4 t(8;16)(p11;p13) 27 96 + NA G NA 4 24 / M PML-RARα / M3 t(15;17) 5 90 - - G G 5 52 / M PML-RARα / M3 t(15;17) 1.5 75 - - G G 6 31 / F PML-RARα / M3 t(15;17) 3.2 89 - - G G 7 23 / M RUNX1-RUNX1T1 / M2 t(8;21) 38 34 - + ND G 8 52 / M RUNX1-RUNX1T1 / M2 t(8;21) 8 68 - - ND G 9 40 / M RUNX1-RUNX1T1 / M2 t(8;21) 5.1 54 - - ND G 10 63 / M CBFβ-MYH11 / M4 inv(16) 297 80 - - ND G 11 63 / M CBFβ-MYH11 / M4 inv(16) 7 74 - - ND G 12 59 / M CBFβ-MYH11 / M0 t(16;16) 108 94 - - ND G 13 41 / F MLLT3-MLL / M5 t(9;11) 51 90 - + G R 14 38 / F M5 46, XX 36 79 - + G G 15 76 / M M4 46 XY, der(10) 21 90 - - G NA 16 59 / M M4 NA 29 59 - - M G 17 26 / M M5 46, XY 295 92 - + G G 18 62 / F M5 NA 67 88 - + M A 19 47 / F M5 del(11q23) 17 78 - + M G 20 50 / F M5 46, XX 61 59 - + M G 21 28 / F M5 46, XX 132 90 - + G G 22 30 / F AML-MD / M5 46, XX 6 79 - + M G 23 64 / M AML-MD / M1 46, XY 17 83 - + M G WBC: white blood cell. -
Islet-1 Is Essential for Pancreatic Β-Cell Function Benjamin N. Ediger
Page 1 of 68 Diabetes June 20, 2014 Diabetes Islet-1 is essential for pancreatic β-cell function Benjamin N. Ediger1,5, Aiping Du1, Jingxuan Liu1, Chad S. Hunter3, Erik R. Walp1, Jonathan Schug4, Klaus H. Kaestner4, Roland Stein3, Doris A. Stoffers5* and Catherine Lee May*,1,2 1Department of Pathology and Laboratory Medicine, Children’s Hospital of Philadelphia, 2Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA 3Department of Molecular Physiology and Biophysics, Vanderbilt University Medical Center, Nashville, Tennessee 37232, USA 4Department of Genetics and Institute for Diabetes, Obesity and Metabolism, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA 5Department of Medicine and Institute for Diabetes, Obesity and Metabolism, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA * These authors contributed equally. Running Title: Isl-1 regulates β-cell function Address correspondence to: Catherine Lee May, Ph.D. 3615 Civic Center Blvd, Room 516E Philadelphia, PA 19104 Phone: 267-426-0116 E-mail: [email protected] And Doris A. Stoffers, M.D., Ph.D. 3400 Civic Center Boulevard, 12-124 SCTR Philadelphia, PA 19104 Phone: (215) 573-5413 E-mail: [email protected] Fax: 215-590-3709 Word Count: 4065 Number of Tables: 6 (all are supplemental) Number of Figures: 9 (3 are supplemental) Diabetes Publish Ahead of Print, published online July 15, 2014 Diabetes Page 2 of 68 Abstract Isl-1 is essential for the survival and ensuing differentiation of pancreatic endocrine progenitors. Isl-1 remains expressed in all adult pancreatic endocrine lineages; however, its specific function in the postnatal pancreas is unclear. -
Molecular Markers of Early Parkinson's Disease Based on Gene Expression in Blood
Molecular markers of early Parkinson’s disease based on gene expression in blood Clemens R. Scherzer*†‡§, Aron C. Eklund*, Lee J. Morse*, Zhixiang Liao*, Joseph J. Locascio†, Daniel Fefer*, Michael A. Schwarzschild†‡, Michael G. Schlossmacher*‡, Michael A. Hauser¶, Jeffery M. Vance¶, Lewis R. Sudarsky‡, David G. Standaert†‡, John H. Growdon†‡, Roderick V. Jensenʈ, and Steven R. Gullans* *Center for Neurologic Diseases, Brigham and Women’s Hospital and Harvard Medical School, Cambridge, MA 02139; †Neurology Service, Massachusetts General Hospital, Boston, MA 02114; ‡Partners Parkinson and Movement Disorders Center, Boston, MA 02114; ¶Center for Human Genetics, Duke University Medical Center, Durham, NC 27710; and ʈDepartment of Physics, University of Massachusetts, Boston, MA 02125 Communicated by Gregory A. Petsko, Brandeis University, Waltham, MA, November 24, 2006 (received for review March 12, 2006) Parkinson’s disease (PD) progresses relentlessly and affects five For a biomarker to be clinically useful, noninvasive detection in million people worldwide. Laboratory tests for PD are critically peripheral blood is desirable. The power of this approach for needed for developing treatments designed to slow or prevent identifying disease-associated candidates in a neurodegenerative progression of the disease. We performed a transcriptome-wide disease is precedented by an expression screen of lymphoblasts scan in 105 individuals to interrogate the molecular processes of patients with Alzheimer’s disease (AD), in which we detected perturbed in cellular blood of patients with early-stage PD. The abnormally low signals of the neuronal sorting receptor LR11/ molecular multigene marker here identified is associated with risk SorLa (20). Subsequent analyses of LR11/SorLa’s mechanistic of PD in 66 samples of the training set comprising healthy and role in AD demonstrated that LR11/sorLA modulates APP disease controls [third tertile cross-validated odds ratio of 5.7 (P for trafficking and its processing to amyloid- (21, 22). -
Gene Duplication and Neofunctionalization: POLR3G and POLR3GL
Downloaded from genome.cshlp.org on September 27, 2021 - Published by Cold Spring Harbor Laboratory Press Research Gene duplication and neofunctionalization: POLR3G and POLR3GL Marianne Renaud,1 Viviane Praz,1,2 Erwann Vieu,1,5 Laurence Florens,3 Michael P. Washburn,3,4 Philippe l’Hoˆte,1 and Nouria Hernandez1,6 1Center for Integrative Genomics, Faculty of Biology and Medicine, University of Lausanne, 1015 Lausanne, Switzerland; 2Swiss Institute of Bioinformatics, 1015 Lausanne, Switzerland; 3Stowers Institute for Medical Research, Kansas City, Missouri 64110, USA; 4Department of Pathology and Laboratory Medicine, The University of Kansas Medical Center, Kansas City, Kansas 66160, USA RNA polymerase III (Pol III) occurs in two versions, one containing the POLR3G subunit and the other the closely related POLR3GL subunit. It is not clear whether these two Pol III forms have the same function, in particular whether they recognize the same target genes. We show that the POLR3G and POLR3GL genes arose from a DNA-based gene duplication, probably in a common ancestor of vertebrates. POLR3G- as well as POLR3GL-containing Pol III are present in cultured cell lines and in normal mouse liver, although the relative amounts of the two forms vary, with the POLR3G-containing Pol III relatively more abundant in dividing cells. Genome-wide chromatin immunoprecipitations followed by high-throughput sequencing (ChIP-seq) reveal that both forms of Pol III occupy the same target genes, in very constant proportions within one cell line, suggesting that the two forms of Pol III have a similar function with regard to specificity for target genes. In contrast, the POLR3G promoter—not the POLR3GL promoter—binds the transcription factor MYC, as do all other pro- moters of genes encoding Pol III subunits.