TRAPPC9-Related Autosomal Recessive Intellectual Disability: Report of a New Mutation and Clinical Phenotype
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Analyses of Allele-Specific Gene Expression in Highly Divergent
ARTICLES Analyses of allele-specific gene expression in highly divergent mouse crosses identifies pervasive allelic imbalance James J Crowley1,10, Vasyl Zhabotynsky1,10, Wei Sun1,2,10, Shunping Huang3, Isa Kemal Pakatci3, Yunjung Kim1, Jeremy R Wang3, Andrew P Morgan1,4,5, John D Calaway1,4,5, David L Aylor1,9, Zaining Yun1, Timothy A Bell1,4,5, Ryan J Buus1,4,5, Mark E Calaway1,4,5, John P Didion1,4,5, Terry J Gooch1,4,5, Stephanie D Hansen1,4,5, Nashiya N Robinson1,4,5, Ginger D Shaw1,4,5, Jason S Spence1, Corey R Quackenbush1, Cordelia J Barrick1, Randal J Nonneman1, Kyungsu Kim2, James Xenakis2, Yuying Xie1, William Valdar1,4, Alan B Lenarcic1, Wei Wang3,9, Catherine E Welsh3, Chen-Ping Fu3, Zhaojun Zhang3, James Holt3, Zhishan Guo3, David W Threadgill6, Lisa M Tarantino7, Darla R Miller1,4,5, Fei Zou2,11, Leonard McMillan3,11, Patrick F Sullivan1,5,7,8,11 & Fernando Pardo-Manuel de Villena1,4,5,11 Complex human traits are influenced by variation in regulatory DNA through mechanisms that are not fully understood. Because regulatory elements are conserved between humans and mice, a thorough annotation of cis regulatory variants in mice could aid in further characterizing these mechanisms. Here we provide a detailed portrait of mouse gene expression across multiple tissues in a three-way diallel. Greater than 80% of mouse genes have cis regulatory variation. Effects from these variants influence complex traits and usually extend to the human ortholog. Further, we estimate that at least one in every thousand SNPs creates a cis regulatory effect. -
Analysis of Trans Esnps Infers Regulatory Network Architecture
Analysis of trans eSNPs infers regulatory network architecture Anat Kreimer Submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy in the Graduate School of Arts and Sciences COLUMBIA UNIVERSITY 2014 © 2014 Anat Kreimer All rights reserved ABSTRACT Analysis of trans eSNPs infers regulatory network architecture Anat Kreimer eSNPs are genetic variants associated with transcript expression levels. The characteristics of such variants highlight their importance and present a unique opportunity for studying gene regulation. eSNPs affect most genes and their cell type specificity can shed light on different processes that are activated in each cell. They can identify functional variants by connecting SNPs that are implicated in disease to a molecular mechanism. Examining eSNPs that are associated with distal genes can provide insights regarding the inference of regulatory networks but also presents challenges due to the high statistical burden of multiple testing. Such association studies allow: simultaneous investigation of many gene expression phenotypes without assuming any prior knowledge and identification of unknown regulators of gene expression while uncovering directionality. This thesis will focus on such distal eSNPs to map regulatory interactions between different loci and expose the architecture of the regulatory network defined by such interactions. We develop novel computational approaches and apply them to genetics-genomics data in human. We go beyond pairwise interactions to define network motifs, including regulatory modules and bi-fan structures, showing them to be prevalent in real data and exposing distinct attributes of such arrangements. We project eSNP associations onto a protein-protein interaction network to expose topological properties of eSNPs and their targets and highlight different modes of distal regulation. -
Discovery of the First Genome-Wide Significant Risk Loci for Attention Deficit/Hyperactivity Disorder
ARTICLES https://doi.org/10.1038/s41588-018-0269-7 Discovery of the first genome-wide significant risk loci for attention deficit/hyperactivity disorder Ditte Demontis 1,2,3,69, Raymond K. Walters 4,5,69, Joanna Martin5,6,7, Manuel Mattheisen1,2,3,8,9,10, Thomas D. Als 1,2,3, Esben Agerbo 1,11,12, Gísli Baldursson13, Rich Belliveau5, Jonas Bybjerg-Grauholm 1,14, Marie Bækvad-Hansen1,14, Felecia Cerrato5, Kimberly Chambert5, Claire Churchhouse4,5,15, Ashley Dumont5, Nicholas Eriksson16, Michael Gandal17,18,19,20, Jacqueline I. Goldstein4,5,15, Katrina L. Grasby21, Jakob Grove 1,2,3,22, Olafur O. Gudmundsson13,23,24, Christine S. Hansen 1,14,25, Mads Engel Hauberg1,2,3, Mads V. Hollegaard1,14, Daniel P. Howrigan4,5, Hailiang Huang4,5, Julian B. Maller5,26, Alicia R. Martin4,5,15, Nicholas G. Martin 21, Jennifer Moran5, Jonatan Pallesen1,2,3, Duncan S. Palmer4,5, Carsten Bøcker Pedersen1,11,12, Marianne Giørtz Pedersen1,11,12, Timothy Poterba4,5,15, Jesper Buchhave Poulsen1,14, Stephan Ripke4,5,27, Elise B. Robinson4,28, F. Kyle Satterstrom 4,5,15, Hreinn Stefansson 23, Christine Stevens5, Patrick Turley4,5, G. Bragi Walters 23,24, Hyejung Won 17,18, Margaret J. Wright 29, ADHD Working Group of the Psychiatric Genomics Consortium (PGC)30, Early Lifecourse & Genetic Epidemiology (EAGLE) Consortium30, 23andMe Research Team30, Ole A. Andreassen 31, Philip Asherson32, Christie L. Burton 33, Dorret I. Boomsma34,35, Bru Cormand36,37,38,39, Søren Dalsgaard 11, Barbara Franke40, Joel Gelernter 41,42, Daniel Geschwind 17,18,19, Hakon Hakonarson43, Jan Haavik44,45, Henry R. -
Multiplexed Engineering Glycosyltransferase Genes in CHO Cells Via Targeted Integration for Producing Antibodies with Diverse Complex‑Type N‑Glycans Ngan T
www.nature.com/scientificreports OPEN Multiplexed engineering glycosyltransferase genes in CHO cells via targeted integration for producing antibodies with diverse complex‑type N‑glycans Ngan T. B. Nguyen, Jianer Lin, Shi Jie Tay, Mariati, Jessna Yeo, Terry Nguyen‑Khuong & Yuansheng Yang* Therapeutic antibodies are decorated with complex‑type N‑glycans that signifcantly afect their biodistribution and bioactivity. The N‑glycan structures on antibodies are incompletely processed in wild‑type CHO cells due to their limited glycosylation capacity. To improve N‑glycan processing, glycosyltransferase genes have been traditionally overexpressed in CHO cells to engineer the cellular N‑glycosylation pathway by using random integration, which is often associated with large clonal variations in gene expression levels. In order to minimize the clonal variations, we used recombinase‑mediated‑cassette‑exchange (RMCE) technology to overexpress a panel of 42 human glycosyltransferase genes to screen their impact on antibody N‑linked glycosylation. The bottlenecks in the N‑glycosylation pathway were identifed and then released by overexpressing single or multiple critical genes. Overexpressing B4GalT1 gene alone in the CHO cells produced antibodies with more than 80% galactosylated bi‑antennary N‑glycans. Combinatorial overexpression of B4GalT1 and ST6Gal1 produced antibodies containing more than 70% sialylated bi‑antennary N‑glycans. In addition, antibodies with various tri‑antennary N‑glycans were obtained for the frst time by overexpressing MGAT5 alone or in combination with B4GalT1 and ST6Gal1. The various N‑glycan structures and the method for producing them in this work provide opportunities to study the glycan structure‑and‑function and develop novel recombinant antibodies for addressing diferent therapeutic applications. -
Identification of Protein Partners for Nibp, a Novel Nik-And Ikkb-Binding Protein Through Experimental, Computational and Bioinformatics Techniques
IDENTIFICATION OF PROTEIN PARTNERS FOR NIBP, A NOVEL NIK-AND IKKB-BINDING PROTEIN THROUGH EXPERIMENTAL, COMPUTATIONAL AND BIOINFORMATICS TECHNIQUES A Thesis Submitted to the Temple University Graduate Board In Partial Fulfillment of the Requirements for the Degree MASTER OF SCIENCE by Sombudha Adhikari August 2013 Thesis Approvals: Mohammad. F. Kiani, Ph.D., Thesis Advisor, College of Engineering Wenhui Hu, M.D., Ph.D., School of Medicine Roland Dunbrack, Ph.D, Fox Chase Cancer Center Peter Lelkes, Ph.D., College of Engineering ABSTRACT Identification of protein partners for NIBP, a novel NIK- and IKK β-binding protein through experimental, computational and bioinformatics techniques NIBP is a prototype member of a novel protein family. It forms a novel subcomplex of NIK-NIBP-IKK β and enhances cytokine-induced IKK β-mediated NF κB activation. It is also named TRAPPC9 as a key member of trafficking particle protein (TRAPP) complex II, which is essential in trans -Golgi networking (TGN). The signaling pathways and molecular mechanisms for NIBP actions remain largely unknown. The aim of this research is to identify potential proteins interacting with NIBP, resulting in the regulation of NF κB signaling pathways and other unknown signaling pathways. At Dr. Wenhui Hu’s lab in the Department of Neuroscience, Temple University, sixteen partner proteins were experimentally identified that potentially bind to NIBP. NIBP is a novel protein with no entry in the Protein Data Bank. From a computational and bioinformatics standpoint, we use prediction of secondary structure and protein disorder as well as homology-based structural modeling approaches to create a hypothesis on protein-protein interaction between NIBP and the partner proteins. -
Glycosyltransferase B4GALNT2 As a Predictor of Good Prognosis in Colon Cancer: Lessons from Databases
International Journal of Molecular Sciences Article Glycosyltransferase B4GALNT2 as a Predictor of Good Prognosis in Colon Cancer: Lessons from Databases Michela Pucci, Nadia Malagolini and Fabio Dall’Olio * Department of Experimental, Diagnostic and Specialty Medicine (DIMES), General Pathology Building, University of Bologna, Via San Giacomo 14, 40126 Bologna, Italy; [email protected] (M.P.); [email protected] (N.M.) * Correspondence: [email protected]; Tel.: +39-051-2094704 Abstract: Background: glycosyltransferase B4GALNT2 and its cognate carbohydrate antigen Sda are highly expressed in normal colon but strongly downregulated in colorectal carcinoma (CRC). We previously showed that CRC patients expressing higher B4GALNT2 mRNA levels displayed longer survival. Forced B4GALNT2 expression reduced the malignancy and stemness of colon cancer cells. Methods: Kaplan–Meier survival curves were determined in “The Cancer Genome Atlas” (TCGA) COAD cohort for several glycosyltransferases, oncogenes, and tumor suppressor genes. Whole expression data of coding genes as well as miRNA and methylation data for B4GALNT2 were downloaded from TCGA. Results: the prognostic potential of B4GALNT2 was the best among the glycosyltransferases tested and better than that of many oncogenes and tumor suppressor genes; high B4GALNT2 expression was associated with a lower malignancy gene expression profile; differential methylation of an intronic B4GALNT2 gene position and miR-204-5p expression play major roles in B4GALNT2 regulation. Conclusions: high B4GALNT2 expression is a strong predictor of good prognosis in CRC as a part of a wider molecular signature that includes ZG16, ITLN1, BEST2, and Citation: Pucci, M.; Malagolini, N.; GUCA2B. Differential DNA methylation and miRNA expression contribute to regulating B4GALNT2 Dall’Olio, F. -
Downloaded Per Proteome Cohort Via the Web- Site Links of Table 1, Also Providing Information on the Deposited Spectral Datasets
www.nature.com/scientificreports OPEN Assessment of a complete and classifed platelet proteome from genome‑wide transcripts of human platelets and megakaryocytes covering platelet functions Jingnan Huang1,2*, Frauke Swieringa1,2,9, Fiorella A. Solari2,9, Isabella Provenzale1, Luigi Grassi3, Ilaria De Simone1, Constance C. F. M. J. Baaten1,4, Rachel Cavill5, Albert Sickmann2,6,7,9, Mattia Frontini3,8,9 & Johan W. M. Heemskerk1,9* Novel platelet and megakaryocyte transcriptome analysis allows prediction of the full or theoretical proteome of a representative human platelet. Here, we integrated the established platelet proteomes from six cohorts of healthy subjects, encompassing 5.2 k proteins, with two novel genome‑wide transcriptomes (57.8 k mRNAs). For 14.8 k protein‑coding transcripts, we assigned the proteins to 21 UniProt‑based classes, based on their preferential intracellular localization and presumed function. This classifed transcriptome‑proteome profle of platelets revealed: (i) Absence of 37.2 k genome‑ wide transcripts. (ii) High quantitative similarity of platelet and megakaryocyte transcriptomes (R = 0.75) for 14.8 k protein‑coding genes, but not for 3.8 k RNA genes or 1.9 k pseudogenes (R = 0.43–0.54), suggesting redistribution of mRNAs upon platelet shedding from megakaryocytes. (iii) Copy numbers of 3.5 k proteins that were restricted in size by the corresponding transcript levels (iv) Near complete coverage of identifed proteins in the relevant transcriptome (log2fpkm > 0.20) except for plasma‑derived secretory proteins, pointing to adhesion and uptake of such proteins. (v) Underrepresentation in the identifed proteome of nuclear‑related, membrane and signaling proteins, as well proteins with low‑level transcripts. -
Analysis of a Putative Imprinted Locus Within the TRAPPC9 Intellectual Disability Gene
Analysis of a putative imprinted locus within the TRAPPC9 intellectual disability gene by Rosalind Law A thesis submitted in conformity with the requirement for the degree of Master of Science Institute of Medical Science University of Toronto © by Rosalind Law 2014 ii Analysis of a putative imprinted locus within the TRAPPC9 intellectual disability gene Rosalind Law Master of Science Institute of Medical Science University of Toronto 2014 Individuals were identified carrying heterozygous copy number variations within the autosomal recessive intellectual disability gene TRAPPC9 (chr8q24.3) and lacking apparent mutations on the second allele, thus indicating the involvement of a conserved imprinting mechanism at this locus between mice (15qD3) and humans. My primary objective was to identify whether a potentially equivalent to mouse Peg13, PEG13, located within an intron of TRAPPC9, was imprinted in various human tissues and cell lines. To investigate imprinting at this locus, allelic expression of PEG13 was assessed using Sanger sequencing and pyrosequencing. To identify regulatory regions that may be responsible for variations in PEG13 allelic expression, methylation profiles at CpG islands were determined in human tissues and cell lines. The PEG13 equivalent was found preferentially-expressed from the paternal allele. Its imprinted expression appears to be tissue-specific and conserved in human fetal brain. Expression patterns of PEG13 in human tissues of paralleled KCNK9. iii Acknowledgements I feel incredibly grateful for the opportunities I have experienced and the people I have encountered in the past two years. I am also thankful for those who have guided me through the unpredictable, yet rewarding field of medical research. -
Regulation and Function of Silayltransferases in Pancreatic Cancer
REGULATION AND FUNCTION OF SILAYLTRANSFERASES IN PANCREATIC CANCER Sònia Bassagañas i Puigdemont Dipòsit legal: Gi. 240-2015 http://hdl.handle.net/10803/285783 ADVERTIMENT. L'accés als continguts d'aquesta tesi doctoral i la seva utilització ha de respectar els drets de la persona autora. Pot ser utilitzada per a consulta o estudi personal, així com en activitats o materials d'investigació i docència en els termes establerts a l'art. 32 del Text Refós de la Llei de Propietat Intel·lectual (RDL 1/1996). Per altres utilitzacions es requereix l'autorització prèvia i expressa de la persona autora. En qualsevol cas, en la utilització dels seus continguts caldrà indicar de forma clara el nom i cognoms de la persona autora i el títol de la tesi doctoral. No s'autoritza la seva reproducció o altres formes d'explotació efectuades amb finalitats de lucre ni la seva comunicació pública des d'un lloc aliè al servei TDX. Tampoc s'autoritza la presentació del seu contingut en una finestra o marc aliè a TDX (framing). Aquesta reserva de drets afecta tant als continguts de la tesi com als seus resums i índexs. ADVERTENCIA. El acceso a los contenidos de esta tesis doctoral y su utilización debe respetar los derechos de la persona autora. Puede ser utilizada para consulta o estudio personal, así como en actividades o materiales de investigación y docencia en los términos establecidos en el art. 32 del Texto Refundido de la Ley de Propiedad Intelectual (RDL 1/1996). Para otros usos se requiere la autorización previa y expresa de la persona autora. -
Genic Intolerance to Functional Variation and the Interpretation of Personal Genomes
Genic Intolerance to Functional Variation and the Interpretation of Personal Genomes Slave´ Petrovski1,2*, Quanli Wang1, Erin L. Heinzen1,3, Andrew S. Allen1,4, David B. Goldstein1* 1 Center for Human Genome Variation, Duke University, School of Medicine, Durham, North Carolina, United States of America, 2 Departments of Medicine, The University of Melbourne, Austin Health and Royal Melbourne Hospital, Melbourne, Victoria, Australia, 3 Department of Medicine, Section of Medical Genetics, Duke University, School of Medicine, Durham, North Carolina, United States of America, 4 Department of Biostatistics and Bioinformatics, Duke University, Durham, North Carolina, United States of America Abstract A central challenge in interpreting personal genomes is determining which mutations most likely influence disease. Although progress has been made in scoring the functional impact of individual mutations, the characteristics of the genes in which those mutations are found remain largely unexplored. For example, genes known to carry few common functional variants in healthy individuals may be judged more likely to cause certain kinds of disease than genes known to carry many such variants. Until now, however, it has not been possible to develop a quantitative assessment of how well genes tolerate functional genetic variation on a genome-wide scale. Here we describe an effort that uses sequence data from 6503 whole exome sequences made available by the NHLBI Exome Sequencing Project (ESP). Specifically, we develop an intolerance scoring system that assesses whether genes have relatively more or less functional genetic variation than expected based on the apparently neutral variation found in the gene. To illustrate the utility of this intolerance score, we show that genes responsible for Mendelian diseases are significantly more intolerant to functional genetic variation than genes that do not cause any known disease, but with striking variation in intolerance among genes causing different classes of genetic disease. -
Homozygosity Mapping in 64 Syrian Consanguineous Families with Non-Specific Intellectual Disability Reveals 11 Novel Loci and High Heterogeneity
European Journal of Human Genetics (2011) 19, 1161–1166 & 2011 Macmillan Publishers Limited All rights reserved 1018-4813/11 www.nature.com/ejhg ARTICLE Homozygosity mapping in 64 Syrian consanguineous families with non-specific intellectual disability reveals 11 novel loci and high heterogeneity Rami Abou Jamra*,1,2, Sigrun Wohlfart1, Markus Zweier1, Steffen Uebe1, Lutz Priebe2,3, Arif Ekici1, Susanne Giesebrecht2, Ahmad Abboud4, Mohammed Ayman Al Khateeb5, Mahmoud Fakher6, Saber Hamdan7, Amina Ismael8, Safia Muhammad9, Markus M No¨then2, Johannes Schumacher2 and Andre´ Reis1 Non-specific intellectual disability of autosomal recessive inheritance (NS-ARID) represents an important fraction of severe cognitive dysfunction disorders. To date, only 10 genes have been identified, and further 24 linked-ARID loci have been reported, as well as others with suggestive linkage. To discover novel genes causing NS-ARID, we undertook genome-wide homozygosity mapping in 64 consanguineous multiplex families of Syrian descent. A total of 11 families revealed unique, significantly linked loci at 4q26-4q28 (MRT17), 6q12-q15 (MRT18), 18p11 (MRT19), 16p12-q12 (MRT20), 11p15 (MRT21), 11p13-q14 (MRT23), 6p12 (MRT24), 12q13-q15 (MRT25), 14q11-q12 (MRT26), 15q23-q26 (MRT27), and 6q26-q27 (MRT28), respectively. Loci ranged between 1.2 and 45.6 Mb in length. One family showed linkage to chromosome 8q24.3, and we identified a mutation in TRAPPC9. Our study further highlights the extreme heterogeneity of NS-ARID, and suggests that no major disease gene is to be expected, at least in this study group. Systematic analysis of large numbers of affected families, as presented here, will help discovering the genetic causes of ID. -
Acetyl-Coa Flux from the Cytosol to the ER Regulates Engagement And
www.nature.com/scientificreports OPEN Acetyl‑CoA fux from the cytosol to the ER regulates engagement and quality of the secretory pathway Inca A. Dieterich1,2,3,11, Yusi Cui4,11, Megan M. Braun1,2,3, Alexis J. Lawton5,6, Nicklaus H. Robinson1,2, Jennifer L. Peotter5, Qing Yu4,10, Jason C. Casler7, Benjamin S. Glick7, Anjon Audhya5, John M. Denu5,6, Lingjun Li4* & Luigi Puglielli1,2,8,9* Nε‑lysine acetylation in the ER is an essential component of the quality control machinery. ER acetylation is ensured by a membrane transporter, AT‑1/SLC33A1, which translocates cytosolic acetyl‑ CoA into the ER lumen, and two acetyltransferases, ATase1 and ATase2, which acetylate nascent polypeptides within the ER lumen. Dysfunctional AT‑1, as caused by gene mutation or duplication events, results in severe disease phenotypes. Here, we used two models of AT‑1 dysregulation to investigate dynamics of the secretory pathway: AT‑1 sTg, a model of systemic AT‑1 overexpression, and AT‑1S113R/+, a model of AT‑1 haploinsufciency. The animals displayed reorganization of the ER, ERGIC, and Golgi apparatus. In particular, AT‑1 sTg animals displayed a marked delay in Golgi‑to‑ plasma membrane protein trafcking, signifcant alterations in Golgi‑based N‑glycan modifcation, and a marked expansion of the lysosomal network. Collectively our results indicate that AT‑1 is essential to maintain proper organization and engagement of the secretory pathway. Nε-lysine acetylation in the Endoplasmic Reticulum (ER) has emerged as an essential component of the qual- ity control (QC) machinery that maintains protein homeostasis (proteostasis) within the ER1–6.