Genomic Analysis of Ribosomal Dna and Its Application to The

Total Page:16

File Type:pdf, Size:1020Kb

Genomic Analysis of Ribosomal Dna and Its Application to The GENOMIC ANALYSIS OF RIBOSOMAL DNA AND ITS APPLICATION TO THE INVESTIGATION OF DISEASE PATHOGENESIS by GABRIEL ETIENNE ZENTNER Submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy Dissertation advisor: Peter C. Scacheri, Ph.D. Department of Genetics CASE WESTERN RESERVE UNIVERSITY January 2012 Gabriel Etienne Zentner Doctor of Philosophy Guangbin Luo Peter Scacheri Helen Salz Derek Abbott 10-7-2011 To Stephanie, for everything. 1 Table of Contents List of tables 5 List of figures 6 Acknowledgements 8 List of abbreviations 10 Abstract 14 Chapter 1: Background and Significance 16 Overview 17 Structure and transcription of rDNA 17 Organization of the mammalian rDNA repeat 17 Cytological features and chromatin structure of rDNA 20 Nucleosome occupancy of rDNA 21 Transcription of rRNA 23 Cell type-specific regulation of rRNA transcription 24 Epigenetic regulation of rDNA 25 CpG methylation 25 Core histone modifications 27 H1: the linker histone weighs in on rRNA transcription 27 Histone variants 29 H2A.Z 29 H3.3 31 Nucleosome positioning 31 TTF-I sets the stage for epigenetic regulation of rDNA 31 Formation of heterochromatin at rDNA 32 Noncoding RNA transcripts epigenetically regulate rDNA 34 Establishment of active rDNA chromatin 35 Replication timing of rDNA repeats 40 Consequences of dysregulated ribosome biogenesis 41 Crosstalk between ribosome biogenesis and p53 41 Ribopathies: human diseases of ribosome biogenesis 43 The Minute mutations 45 General phenomena related to impaired ribosome biogenesis 46 CHD proteins, CHD7, and CHARGE syndrome 47 CHD proteins 47 CHD7 and CHARGE syndrome 48 Summary and research aims 53 Chapter 2: Integrative genomic analysis of human ribosomal DNA 56 2 Abstract 57 Introduction 58 Results 60 Alignment of high-throughput sequencing data to rDNA 60 Distribution of histone modifications at rDNA 61 Cell type-specificity of histone marks at rDNA 66 Chromatin accessibility and transcription at rDNA 76 Nucleosome occupancy of rDNA 79 ChIP-seq analysis of Pol I chromatin association 79 ChIP-seq analysis of UBF chromatin association 80 The insulator-binding protein CTCF associates with rDNA 87 Discussion 92 Materials and methods 97 Chapter 3: CHD7 functions in the nucleolus as a positive regulator of rRNA biogenesis 105 Abstract 106 Introduction 108 Results 111 CHD7 associates with rDNA 111 CHD7 is dually localized to the nucleoplasm and nucleolus 112 CHD7 influences the levels of the 45S pre-rRNA transcript 116 Depletion of CHD7 reduces cell proliferation and protein synthesis 119 CHD7 antagonizes DNA methylation at active rDNA repeats 122 CHARGE-relevant tissues from Chd7 gene-trap mice show reduced pre-rRNA levels 126 CHD7 promotes rDNA association of the Treacher Collins syndrome protein, treacle 128 Discussion 133 Materials and methods 139 Chapter 4: Investigation into dysregulated ribosome biogenesis as a shared pathogenic component of human haploinsufficiency syndromes 146 Abstract 147 Introduction 149 Results 152 Discussion 157 3 Chapter 5: Discussion and Future Directions 160 Summary 161 Genomic analysis of rDNA 161 CHD7 positively regulates rRNA synthesis 163 Discussion and future directions 164 How does CHD7 promote rRNA biogenesis? 164 Is dysregulated rRNA transcription a pathogenic component of CHARGE syndrome? 167 Relevance of dysregulated rRNA transcription to CHARGE syndrome 167 Relevance of dysregulated nucleoplasmic transcription to CHARGE syndrome 168 A dual-function model for CHD7 and its relevance to CHARGE syndrome 173 rDNA copy number, CpG methylation, and phenotypic variability in CHARGE syndrome 173 rDNA copy number variation 175 CpG methylation 175 Implications of variable rDNA copy number and CpG methylation for phenotypic variability in CHARGE syndrome 176 Dissecting nucleoplasmic and nucleolar functions of CHD7 177 Testing the requirements for a nucleoplasmic function of CHD7 in the mouse 177 Separating the functions of CHD7 using patient- specific iPSCs 179 Investigating CHD7 nucleolar targeting via nucleolar protein interactions 181 CHD7 and rRNA biogenesis: a connection to cancer? 183 Further applications of rDNA genomics 184 Condition-dependent alterations in rDNA chromatin structure 184 Distinguishing active and inactive rDNA repeats 188 Large-scale analysis of protein occupancy at rDNA 190 Appendix: Detailed chromatin immunoprecipitation protocol 192 Bibliography 199 4 List of Tables Chapter 1 Table 1-1. Histone modifications and variants associated with rDNA 28 Chapter 2 Table 2-1. Correlation coefficients for pairwise comparisons 74 Table 2-2. CTCF consensus motifs within human and mouse rDNA 93 Table 2-3. ChIP-PCR primers used in Chapter 2 103 Chapter 3 Table 3-1. qRT-PCR primers used in Chapter 3 144 Table 3-2. ChIP-PCR primers used in Chapter 3 145 Chapter 4 Table 4-1. List of transcription factors and chromatin-associated proteins associated with haploinsufficient congenital anomaly syndromes 154 Chapter 5 Table 5-1. GO biological processes and mouse phenotypes associated with CHD7-bound active and poised enhancers in mESCs 171 5 List of Figures Chapter 1 Figure 1-1. Structure of the mammalian rDNA repeat 19 Figure 1-2. NoRC-dependent silencing of rDNA 36 Figure 1-3. Structure of CHD7 51 Chapter 2 Figure 2-1. Comparison of input samples from K562 cells 62 Figure 2-2. Distribution of histone modifications at rDNA in K562 cells 64 Figure 2-3. H3K4me1 ChIP-PCR in K562 cells 65 Figure 2-4. Normalized tag density scores for histone modifications 67 Figure 2-5. Correlation heatmaps of pairwise comparisons between median signals for histone modifications at rDNA 68 Figure 2-6. Distribution of histone modifications at rDNA in HUVECs 70 Figure 2-7. Distribution of histone modifications at rDNA in H1-hESCs 71 Figure 2-8. Distribution of histone modifications at rDNA in NHEKs 72 Figure 2-9. Comparison of rDNA histone marks across multiple cell types 73 Figure 2-10. Chromatin accessibility, transcription, and nucleosome occupancy at rDNA 77 Figure 2-11. ChIP-seq analysis of Pol I and UBF rDNA association 81 Figure 2-12. UBF associates with nucleoplasmic chromatin 83 Figure 2-13. Analysis of nucleoplasmic UBF peaks 85 Figure 2-14. UBF regulates nucleoplasmic gene transcription 88 6 Figure 2-15. CTCF is associated with human rDNA 90 Figure 2-16. CTCF binds to mouse rDNA 91 Chapter 3 Figure 3-1. CHD7 binds to rDNA 113 Figure 3-2. CHD7 localizes to the nucleoplasm and nucleolus 114 Figure 3-3. CHD7 positively regulates rRNA biogenesis 117 Figure 3-4. CHD7 knockdown does not affect protein levels of known regulators of rRNA transcription 120 Figure 3-5. Loss of CHD7 impairs cell proliferation and protein synthesis 123 Figure 3-6. CHD7 is associated with active rDNA repeats and counteracts rDNA promoter methylation 127 Figure 3-7. Pre-rRNA levels are reduced in CHARGE-relevant tissues from Chd7 gene-trap embryos 129 Figure 3-8. CHD7 promotes association of treacle with rDNA 131 Figure 3-9. CHD7 physically interacts with treacle 132 Chapter 5 Figure 5-1. CHD7 associates with active and poised mESC enhancers 170 Figure 5-2. A model for dual functions of CHD7 174 Figure 5-3. CHD7 expression in HCV-induced HCCs 185 Figure 5-4. CHD7 expression in ovarian cancers 186 Figure 5-5. CHD7 expression in gliomas 187 7 Acknowledgements First and foremost, I thank my thesis advisor, Dr. Peter Scacheri, who has given me the freedom to pursue my own scientific interests and provided me with strong conceptual and experimental training with which to pursue my scientific goals. My training has provided me with the skills to ask and answer my own scientific questions, take scientific risks, and face the challenges of science with energy and enthusiasm. I thank my thesis committee members, Dr. Guangbin Luo, Dr. Helen Salz, Dr. Steven Sanders, and Dr. Derek Abbott for their patience and support throughout my graduate career. I am indebted to my collaborators, Dr. Donna Martin and Dr. Maria Hatzoglou, without whom substantial portions of this work would not have been possible. I also thank Dr. Paul Tesar for his advice and encouragement in the later phases of my graduate work. None of this work would have been possible without the members of the Scacheri lab, both past and present. I am particularly indebted to Michael Schnetz for his advice on choosing the right path through graduate school and his patience in helping me get set up in the lab. I am especially grateful for the friendship I have developed with Stephanie Balow, my "lab sister" and fellow Star Wars geek. Every member of the Scacheri lab, past and present, has contributed to my scientific development and I am truly grateful for all they have done for me. I am also indebted to the administrative staff of the Department of Genetics for their assistance throughout my graduate career. 8 I received invaluable support and encouragement, both scientific and otherwise, from many dear friends near and far, including Jason Heaney, Lorrie Rice, Brian Cobb, Spike Murphy, and Neal Evans. I thank my family, who have been unwavering in their support during my graduate career. They have always encouraged my educational endeavors and challenged me to reach my fullest potential, and it is in no small part because of them that I have completed this work. Last, and certainly not least, I am indebted to Stephanie Doerner for her constant support and encouragement throughout my graduate career. It is no exaggeration to say that, without her, none of this would have been possible. 9 List of abbreviations ac acetyl ActD
Recommended publications
  • Screening and Identification of Key Biomarkers in Clear Cell Renal Cell Carcinoma Based on Bioinformatics Analysis
    bioRxiv preprint doi: https://doi.org/10.1101/2020.12.21.423889; this version posted December 23, 2020. 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. Screening and identification of key biomarkers in clear cell renal cell carcinoma based on bioinformatics analysis 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 bioRxiv preprint doi: https://doi.org/10.1101/2020.12.21.423889; this version posted December 23, 2020. 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. Abstract Clear cell renal cell carcinoma (ccRCC) is one of the most common types of malignancy of the urinary system. The pathogenesis and effective diagnosis of ccRCC have become popular topics for research in the previous decade. In the current study, an integrated bioinformatics analysis was performed to identify core genes associated in ccRCC. An expression dataset (GSE105261) was downloaded from the Gene Expression Omnibus database, and included 26 ccRCC and 9 normal kideny samples. Assessment of the microarray dataset led to the recognition of differentially expressed genes (DEGs), which was subsequently used for pathway and gene ontology (GO) enrichment analysis.
    [Show full text]
  • Characterization of the Osmoregulated Escherichia Coli Prou Promoter and Identification of Prov As a Membrane-Associated Protein
    Molecular Microbiology (1989) 3(11), 1521-1531 Characterization of the osmoregulated Escherichia coli proU promoter and identification of ProV as a membrane-associated protein G. May, E. Faatz, J. M. Lucht, M. Haardt, The prop-encoded transport system has a iow affinity for M. Bolliger^ and E. Bremer* giycine betaine and is present in the cytopiasmic mem- Department of Biotogy. University of Konstanz, PO Box brane (Milner et ai. 1988). The protZ-encoded transport 5560, D'775O Konstanz. FRG. system has a high affinity for glycine betaine and is binding-protein-dependent (May ef ai. 1986; Higgins et ai, 1987a; Barron efa/., 1987;foranoverview, see Ames, Summary 1986). Analyses of the cloned proU region from £ coli The Escherichia coli proU operon encodes a high- have demonstrated that this iocus consists of at ieast affinity, binding-protein-dependent transport system three genes (proV. proW, and proX) that are organized in for the osmoprotectant gtycine betaine. Expression of an operon (Gowrishankar et ai, 1986; Faatz et ai, 1988; proU is osmoregulated, and transcription of this Dattananda and Gowrishankar, 1989). From the recently operon is greatly increased In cells grown at high determined proU DNA sequence {Gowrishankar, 1989), osmoiarity. Characterization of the proU operon and the products of these genes have been deduced. The proV its promoter provrded results similar to those pub- gene encodes a hydrophiiic protein {M, ^ 44162) with lished elsewhere (Gowrishankar, 1989; Stirling et a/., homology to the energy-coupling component of binding- 1989). The previously identified proU601 mutation, protein-dependent transport systems. A hydrophobic which leads to increased prot>expression both at low- polypeptide (M, = 37619) is encoded by proW and is and high osmolarity, is a G to A transition in the thought to be located in the cytoplasmic membrane.
    [Show full text]
  • 422.Full.Pdf
    Downloaded from genome.cshlp.org on September 29, 2021 - Published by Cold Spring Harbor Laboratory Press Research Dioxin receptor and SLUG transcription factors regulate the insulator activity of B1 SINE retrotransposons via an RNA polymerase switch Angel Carlos Roma´n,1 Francisco J. Gonza´lez-Rico,1 Eduardo Molto´,2,3 Henar Hernando,4 Ana Neto,5 Cristina Vicente-Garcia,2,3 Esteban Ballestar,4 Jose´ L. Go´mez-Skarmeta,5 Jana Vavrova-Anderson,6 Robert J. White,6,7 Lluı´s Montoliu,2,3 and Pedro M. Ferna´ndez-Salguero1,8 1Departamento de Bioquı´mica y Biologı´a Molecular, Facultad de Ciencias, Universidad de Extremadura, 06071 Badajoz, Spain; 2Centro Nacional de Biotecnologı´a (CNB), Consejo Superior de Investigaciones Cientı´ficas (CSIC), Department of Molecular and Cellular Biology, Campus de Cantoblanco, C/Darwin 3, 28049 Madrid, Spain; 3Centro de Investigacio´n Biome´dica en Red de Enfermedades Raras (CIBERER), ISCIII, Madrid, Spain; 4Chromatin and Disease Group, Cancer Epigenetics and Biology Programme, Bellvitge Biomedical Research Institute (IDIBELL), Barcelona 08907, Spain; 5Centro Andaluz de Biologı´a del Desarrollo, CSIC-Universidad Pablo de Olavide, 41013 Sevilla, Spain; 6College of Medical, Veterinary and Life Sciences, University of Glasgow, Glasgow G12 8QQ, United Kingdom; 7Beatson Institute for Cancer Research, Glasgow, G61 1BD, United Kingdom Complex genomes utilize insulators and boundary elements to help define spatial and temporal gene expression patterns. We report that a genome-wide B1 SINE (Short Interspersed Nuclear Element) retrotransposon (B1-X35S) has potent in- trinsic insulator activity in cultured cells and live animals. This insulation is mediated by binding of the transcription factors dioxin receptor (AHR) and SLUG (SNAI2) to consensus elements present in the SINE.
    [Show full text]
  • Recombinant CHD1 Protein
    Recombinant CHD1 protein Catalog No: 81307, 81607 Quantity: 20, 1000 µg Expressed In: Baculovirus Concentration: 0.4 µg/µl Source: Human Buffer Contents: Recombinant CHD1 protein is supplied in 25 mM HEPES-NaOH pH 7.5, 300 mM NaCl, 10% glycerol, 0.04% Triton X-100, and 0.5 mM TCEP. Background: CHD1 (Chromodomain Helicase DNA Binding Protein 1) is one of the CHD family proteins. They are characterized by the presence of chromo (chromatin organization modifier) domains and SNF2-related helicase/ATPase domains. CHD1 is a ATP-dependent chromatin-remodeling factor which functions as substrate recognition component of the transcription regulatory histone acetylation (HAT) complex SAGA. It can regulate polymerase II transcription, and is also required for efficient transcription by RNA polymerase I, and more specifically the polymerase I transcription termination step. CHD1 is not only involved in transcription-related chromatin-remodeling, but also required to maintain a specific chromatin configuration across the genome. It is required for the bridging of SNF2, the FACT complex, the PAF complex as well as the U2 snRNP complex to H3K4me3. Protein Details: Full length CHD1 protein (accession number AAI17135.1) was expressed in a baculovirus system with an N-terminal FLAG-Tag. The molecular weight of the protein is 197.9 kDa. Recombinant CHD1 protein gel Application Notes: This product was manufactured as described in Protein Details. 7.5% SDS-PAGE gel with Where possible, Active Motif has developed functional or activity assays for Coomassie blue staining recombinant proteins. Additional characterization such as enzyme kinetic activity assays, inhibitor screening or other biological activity assays may not have been MW: 197.9 kDa performed for every product.
    [Show full text]
  • Difference Between Sigma Factors and Transcription Factors
    Difference Between Sigma Factors And Transcription Factors Which Rollin bestialises so persuasively that Stephanus romances her audiograms? Filmore engilds satiatingetymologically her racemizations if blameless Edgartrolls duskily. evaluating or envisaged. Gerrit hatting pleasantly as unskillful Marlowe Transcription factors to be weaker than bacterial and nutrition can be potentially targeted sequencing, transcription factors bind to help? CH is _____, Faburay B, the students have. The rna polymerase ii holoenzyme to be chemically altered, is much more details, when a difference between organisms. Utr and helps synthesize, not among themselves and termination is. Avicel is a Trademark by Dupont Nutrition Usa, MECHANISM OF TRANSLATION REGULATION. Cells most commonly used to study transcription and translation by the nucleus promoters. The chromatin needs in bacteria. Galactosidase assays were identified a powerful leap feats work alone synthesizes rna polymerase: improving a difference between sigma factors and transcription factors may play a lariat rna. They are green and place an! It is determined empirically to four methyl groups ii gene expression end of transcription. Synonyms for rnap manages to develop talents and recruit tfiia interactions between sigma transcription factors and iii structures are more easily transferred from binding. Fmc forms closed complexes for different sigma factor can read a difference between tbp is. RNA contains the pyrimidine uracil in utility of thymine found in DNA. Sigma factors are subunits of all bacterial RNA polymerases. Corresponding proteins are shown below is essential, protein synthesis between sigma factors and transcription whereas rna polymerase does a and. Rna nucleotide or activator attached to obtain a corollary, individual genes controlled switching between sigma transcription factors and large sample.
    [Show full text]
  • Program Nr: 1 from the 2004 ASHG Annual Meeting Mutations in A
    Program Nr: 1 from the 2004 ASHG Annual Meeting Mutations in a novel member of the chromodomain gene family cause CHARGE syndrome. L.E.L.M. Vissers1, C.M.A. van Ravenswaaij1, R. Admiraal2, J.A. Hurst3, B.B.A. de Vries1, I.M. Janssen1, W.A. van der Vliet1, E.H.L.P.G. Huys1, P.J. de Jong4, B.C.J. Hamel1, E.F.P.M. Schoenmakers1, H.G. Brunner1, A. Geurts van Kessel1, J.A. Veltman1. 1) Dept Human Genetics, UMC Nijmegen, Nijmegen, Netherlands; 2) Dept Otorhinolaryngology, UMC Nijmegen, Nijmegen, Netherlands; 3) Dept Clinical Genetics, The Churchill Hospital, Oxford, United Kingdom; 4) Children's Hospital Oakland Research Institute, BACPAC Resources, Oakland, CA. CHARGE association denotes the non-random occurrence of ocular coloboma, heart defects, choanal atresia, retarded growth and development, genital hypoplasia, ear anomalies and deafness (OMIM #214800). Almost all patients with CHARGE association are sporadic and its cause was unknown. We and others hypothesized that CHARGE association is due to a genomic microdeletion or to a mutation in a gene affecting early embryonic development. In this study array- based comparative genomic hybridization (array CGH) was used to screen patients with CHARGE association for submicroscopic DNA copy number alterations. De novo overlapping microdeletions in 8q12 were identified in two patients on a genome-wide 1 Mb resolution BAC array. A 2.3 Mb region of deletion overlap was defined using a tiling resolution chromosome 8 microarray. Sequence analysis of genes residing within this critical region revealed mutations in the CHD7 gene in 10 of the 17 CHARGE patients without microdeletions, including 7 heterozygous stop-codon mutations.
    [Show full text]
  • Molecular Evolution of the Avian CHD1 Genes on the Z and W Sex Chromosomes
    Copyright 2000 by the Genetics Society of America Molecular Evolution of the Avian CHD1 Genes on the Z and W Sex Chromosomes Anna-Karin Fridolfsson and Hans Ellegren Department of Evolutionary Biology, Evolutionary Biology Centre, Uppsala University, SE-752-36 Uppsala, Sweden Manuscript received December 8, 1999 Accepted for publication April 14, 2000 ABSTRACT Genes shared between the nonrecombining parts of the two types of sex chromosomes offer a potential means to study the molecular evolution of the same gene exposed to different genomic environments. We have analyzed the molecular evolution of the coding sequence of the ®rst pair of genes found to be shared by the avian Z (present in both sexes) and W (female-speci®c) sex chromosomes, CHD1Z and CHD1W. We show here that these two genes evolve independently but are highly conserved at nucleotide as well as amino acid levels, thus not indicating a female-speci®c role of the CHD1W gene. From comparisons of sequence data from three avian lineages, the frequency of nonsynonymous substitutions (Ka) was found to be higher for CHD1W (1.55 per 100 sites) than for CHD1Z (0.81), while the opposite was found for synonymous substitutions (Ks, 13.5 vs. 22.7). We argue that the lower effective population size and the absence of recombination on the W chromosome will generally imply that nonsynonymous substitutions accumulate faster on this chromosome than on the Z chromosome. The same should be true for the Y chromosome relative to the X chromosome in XY systems. Our data are compatible with a male-biased mutation rate, manifested by the faster rate of neutral evolution (synonymous substitutions) on the Z chromosome than on the female-speci®c W chromosome.
    [Show full text]
  • CHD1 Loss Negatively Influences Metastasis-Free Survival in R0
    Cancer Gene Therapy https://doi.org/10.1038/s41417-020-00288-z ARTICLE CHD1 loss negatively influences metastasis-free survival in R0- resected prostate cancer patients and promotes spontaneous metastasis in vivo 1,2 2 1,2 3 4 2 Su Jung Oh-Hohenhorst ● Derya Tilki ● Ann-Kristin Ahlers ● Anna Suling ● Oliver Hahn ● Pierre Tennstedt ● 1 1 1 1 1 5,8 Christiane Matuszcak ● Hanna Maar ● Vera Labitzky ● Sandra Hanika ● Sarah Starzonek ● Simon Baumgart ● 6 7 7 7 7 2 Steven A. Johnsen ● Martina Kluth ● Hüseyin Sirma ● Ronald Simon ● Guido Sauter ● Hartwig Huland ● 1 1 Udo Schumacher ● Tobias Lange Received: 21 September 2020 / Revised: 9 December 2020 / Accepted: 10 December 2020 © The Author(s) 2021. This article is published with open access Abstract The outcome of prostate cancer (PCa) patients is highly variable and depends on whether or not distant metastases occur. Multiple chromosomal deletions have been linked to early tumor marker PSA recurrence (biochemical relapse, BCR) after radical prostatectomy (RP), but their potential role for distant metastasis formation is largely unknown. Here, we 1234567890();,: 1234567890();,: specifically analyzed whether deletion of the tumor suppressor CHD1 (5q21) influences the post-surgical risk of distant metastasis and whether CHD1 loss directly contributes to metastasis formation in vivo. By considering >6800 patients we found that the CHD1 deletion negatively influences metastasis-free survival in R0 patients (HR: 2.32; 95% CI: 1.61, 3.33; p < 0.001) independent of preoperative PSA, pT stage, pN status, Gleason Score, and BCR. Moreover, CHD1 deletion predicts shortened BCR-free survival in pT2 patients and cancer-specific survival in all patients.
    [Show full text]
  • 2018 Etiologies by Frequencies
    2018 Etiologies in Order of Frequency by Category Hereditary Syndromes and Disorders Count CHARGE Syndrome 958 Down syndrome (Trisomy 21 syndrome) 308 Usher I syndrome 252 Stickler syndrome 130 Dandy Walker syndrome 119 Cornelia de Lange 102 Goldenhar syndrome 98 Usher II syndrome 83 Wolf-Hirschhorn syndrome (Trisomy 4p) 68 Trisomy 13 (Trisomy 13-15, Patau syndrome) 60 Pierre-Robin syndrome 57 Moebius syndrome 55 Trisomy 18 (Edwards syndrome) 52 Norrie disease 38 Leber congenital amaurosis 35 Chromosome 18, Ring 18 31 Aicardi syndrome 29 Alstrom syndrome 27 Pfieffer syndrome 27 Treacher Collins syndrome 27 Waardenburg syndrome 27 Marshall syndrome 25 Refsum syndrome 21 Cri du chat syndrome (Chromosome 5p- synd) 16 Bardet-Biedl syndrome (Laurence Moon-Biedl) 15 Hurler syndrome (MPS I-H) 15 Crouzon syndrome (Craniofacial Dysotosis) 13 NF1 - Neurofibromatosis (von Recklinghausen dis) 13 Kniest Dysplasia 12 Turner syndrome 11 Usher III syndrome 10 Cockayne syndrome 9 Apert syndrome/Acrocephalosyndactyly, Type 1 8 Leigh Disease 8 Alport syndrome 6 Monosomy 10p 6 NF2 - Bilateral Acoustic Neurofibromatosis 6 Batten disease 5 Kearns-Sayre syndrome 5 Klippel-Feil sequence 5 Hereditary Syndromes and Disorders Count Prader-Willi 5 Sturge-Weber syndrome 5 Marfan syndrome 3 Hand-Schuller-Christian (Histiocytosis X) 2 Hunter Syndrome (MPS II) 2 Maroteaux-Lamy syndrome (MPS VI) 2 Morquio syndrome (MPS IV-B) 2 Optico-Cochleo-Dentate Degeneration 2 Smith-Lemli-Opitz (SLO) syndrome 2 Wildervanck syndrome 2 Herpes-Zoster (or Hunt) 1 Vogt-Koyanagi-Harada
    [Show full text]
  • Transcriptome-Wide Profiling of Cerebral Cavernous Malformations
    www.nature.com/scientificreports OPEN Transcriptome-wide Profling of Cerebral Cavernous Malformations Patients Reveal Important Long noncoding RNA molecular signatures Santhilal Subhash 2,8, Norman Kalmbach3, Florian Wegner4, Susanne Petri4, Torsten Glomb5, Oliver Dittrich-Breiholz5, Caiquan Huang1, Kiran Kumar Bali6, Wolfram S. Kunz7, Amir Samii1, Helmut Bertalanfy1, Chandrasekhar Kanduri2* & Souvik Kar1,8* Cerebral cavernous malformations (CCMs) are low-fow vascular malformations in the brain associated with recurrent hemorrhage and seizures. The current treatment of CCMs relies solely on surgical intervention. Henceforth, alternative non-invasive therapies are urgently needed to help prevent subsequent hemorrhagic episodes. Long non-coding RNAs (lncRNAs) belong to the class of non-coding RNAs and are known to regulate gene transcription and involved in chromatin remodeling via various mechanism. Despite accumulating evidence demonstrating the role of lncRNAs in cerebrovascular disorders, their identifcation in CCMs pathology remains unknown. The objective of the current study was to identify lncRNAs associated with CCMs pathogenesis using patient cohorts having 10 CCM patients and 4 controls from brain. Executing next generation sequencing, we performed whole transcriptome sequencing (RNA-seq) analysis and identifed 1,967 lncRNAs and 4,928 protein coding genes (PCGs) to be diferentially expressed in CCMs patients. Among these, we selected top 6 diferentially expressed lncRNAs each having signifcant correlative expression with more than 100 diferentially expressed PCGs. The diferential expression status of the top lncRNAs, SMIM25 and LBX2-AS1 in CCMs was further confrmed by qRT-PCR analysis. Additionally, gene set enrichment analysis of correlated PCGs revealed critical pathways related to vascular signaling and important biological processes relevant to CCMs pathophysiology.
    [Show full text]
  • Chromatin Insulators and Topological Domains: Adding New Dimensions to 3D Genome Architecture
    Genes 2015, 6, 790-811; doi:10.3390/genes6030790 OPEN ACCESS genes ISSN 2073-4425 www.mdpi.com/journal/genes Review Chromatin Insulators and Topological Domains: Adding New Dimensions to 3D Genome Architecture Navneet K. Matharu 1,* and Sajad H. Ahanger 2,* 1 Department of Bioengineering and Therapeutic Sciences, Institute for Human Genetics, University of California San Francisco, San Francisco, CA 94143, USA 2 Department of Ophthalmology, Lab for Retinal Cell Biology, University of Zurich, Wagistrasse 14, Zurich 8952, Switzerland * Authors to whom correspondence should be addressed; E-Mails: [email protected] (N.K.M.); [email protected] (S.H.A.). Academic Editor: Jessica Tyler Received: 8 June 2015 / Accepted: 20 August 2015 / Published: 1 September 2015 Abstract: The spatial organization of metazoan genomes has a direct influence on fundamental nuclear processes that include transcription, replication, and DNA repair. It is imperative to understand the mechanisms that shape the 3D organization of the eukaryotic genomes. Chromatin insulators have emerged as one of the central components of the genome organization tool-kit across species. Recent advancements in chromatin conformation capture technologies have provided important insights into the architectural role of insulators in genomic structuring. Insulators are involved in 3D genome organization at multiple spatial scales and are important for dynamic reorganization of chromatin structure during reprogramming and differentiation. In this review, we will discuss the classical view and our renewed understanding of insulators as global genome organizers. We will also discuss the plasticity of chromatin structure and its re-organization during pluripotency and differentiation and in situations of cellular stress.
    [Show full text]
  • CHARGE Syndrome
    orphananesthesia Anaesthesia recommendations for CHARGE syndrome Disease name: CHARGE syndrome ICD 10: Q87.8 Synonyms: CHARGE association; Hall-Hittner syndrome Disease summary: CHARGE syndrome was initially defined as a non-random association of anomalies: - Coloboma - Heart defect - Atresia choanae (choanal atresia) - Retarded growth and development - Genital hypoplasia - Ear anomalies/deafness In 1998, an expert group defined the major (the classical 4C´s: Choanal atresia, Coloboma, Characteristic ear and Cranial nerve anomalies) and minor criteria of CHARGE syndrome [1]. In 2004, mutations in the CHD7 gene were identified as the major cause. The inheritance pattern is autosomal dominant with variable expressivity. Almost all mutations occurs de novo, but parent-to-child transmission has occasionally been reported [2]. Clinical criteria for CHARGE syndrome [1] Major criteria: • Coloboma • Choanal Atresia • Cranial nerve anomalies • Abnormalities of the inner, middle, or external ear Minor criteria: • Cardiaovascular malformations • Genital hypoplasia or delayed pubertal development • Cleft lip and/or palate • Tracheoesophageal defects • Distinctive CHARGE facies • Growth retardation • Developmental delay Occasional: • Renal anomalies: duplex system, vesicoureteric reflux • Spinal anomalies: scoliosis, osteoporosis • Hand anomalies 1 • Neck/shoulder anomalies • Immune system disorders Individuals with all four major characteristics or three major and three minor characteristics are highly likely to have CHARGE syndrome [1]. CHARGE syndrome
    [Show full text]