Disruption of the Zdhhc9 Intellectual Disability Gene Leads to Behavioural T Abnormalities in a Mouse Model
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Identification of Key Genes and Pathways in Pancreatic Cancer
G C A T T A C G G C A T genes Article Identification of Key Genes and Pathways in Pancreatic Cancer Gene Expression Profile by Integrative Analysis Wenzong Lu * , Ning Li and Fuyuan Liao Department of Biomedical Engineering, College of Electronic and Information Engineering, Xi’an Technological University, Xi’an 710021, China * Correspondence: [email protected]; Tel.: +86-29-86173358 Received: 6 July 2019; Accepted: 7 August 2019; Published: 13 August 2019 Abstract: Background: Pancreatic cancer is one of the malignant tumors that threaten human health. Methods: The gene expression profiles of GSE15471, GSE19650, GSE32676 and GSE71989 were downloaded from the gene expression omnibus database including pancreatic cancer and normal samples. The differentially expressed genes between the two types of samples were identified with the Limma package using R language. The gene ontology functional and pathway enrichment analyses of differentially-expressed genes were performed by the DAVID software followed by the construction of a protein–protein interaction network. Hub gene identification was performed by the plug-in cytoHubba in cytoscape software, and the reliability and survival analysis of hub genes was carried out in The Cancer Genome Atlas gene expression data. Results: The 138 differentially expressed genes were significantly enriched in biological processes including cell migration, cell adhesion and several pathways, mainly associated with extracellular matrix-receptor interaction and focal adhesion pathway in pancreatic cancer. The top hub genes, namely thrombospondin 1, DNA topoisomerase II alpha, syndecan 1, maternal embryonic leucine zipper kinase and proto-oncogene receptor tyrosine kinase Met were identified from the protein–protein interaction network. -
Meta-Analysis of Gene Expression in Individuals with Autism Spectrum Disorders
Meta-analysis of Gene Expression in Individuals with Autism Spectrum Disorders by Carolyn Lin Wei Ch’ng BSc., University of Michigan Ann Arbor, 2011 A THESIS SUBMITTED IN PARTIAL FULFILLMENT OF THE REQUIREMENTS FOR THE DEGREE OF Master of Science in THE FACULTY OF GRADUATE AND POSTDOCTORAL STUDIES (Bioinformatics) The University of British Columbia (Vancouver) August 2013 c Carolyn Lin Wei Ch’ng, 2013 Abstract Autism spectrum disorders (ASD) are clinically heterogeneous and biologically complex. State of the art genetics research has unveiled a large number of variants linked to ASD. But in general it remains unclear, what biological factors lead to changes in the brains of autistic individuals. We build on the premise that these heterogeneous genetic or genomic aberra- tions will converge towards a common impact downstream, which might be reflected in the transcriptomes of individuals with ASD. Similarly, a considerable number of transcriptome analyses have been performed in attempts to address this question, but their findings lack a clear consensus. As a result, each of these individual studies has not led to any significant advance in understanding the autistic phenotype as a whole. The goal of this research is to comprehensively re-evaluate these expression profiling studies by conducting a systematic meta-analysis. Here, we report a meta-analysis of over 1000 microarrays across twelve independent studies on expression changes in ASD compared to unaffected individuals, in blood and brain. We identified a number of genes that are consistently differentially expressed across studies of the brain, suggestive of effects on mitochondrial function. In blood, consistent changes were more difficult to identify, despite individual studies tending to exhibit larger effects than the brain studies. -
Expanding the Clinical Phenotype of Patients with a ZDHHC9 Mutation Alice Masurel-Paulet,1 Vera M
CLINICAL REPORT Expanding the Clinical Phenotype of Patients With a ZDHHC9 Mutation Alice Masurel-Paulet,1 Vera M. Kalscheuer,2 Nicolas Lebrun,3 Hao Hu,2 Fabienne Levy,4 Christel Thauvin-Robinet,1,5 Ve´ronique Darmency-Stamboul,4,6 Salima El Chehadeh,1 Julien Thevenon,1,5 Sophie Chancenotte,4 Marie Ruffier-Bourdet,4 Marle`ne Bonnet,4 Jean-Michel Pinoit,7 Fre´de´ric Huet,6 Vincent Desportes,8 Jamel Chelly,3 and Laurence Faivre1,5* 1Centre de Ge´ne´tique et Centre de Re´fe´rence Anomalies du de´veloppement et Syndromes Malformatifs, Hoˆpital d’Enfants, CHU, Dijon, France 2Department of Human Molecular Genetics, Max Planck Institute for Molecular Genetics, Berlin, Germany 3Inserm U1016, Institut Cochin, Universite´ Paris-Descartes, CNRS (UMR 8104), Paris, France 4Centre Re´fe´rent des Troubles du Langage et des Apprentissages, Hoˆpital d’Enfants, CHU, Dijon, France 5EA 4271 GAD, Faculte´ de Me´decine, Universite´ de Bourgogne, Dijon, France 6Service de Pe´diatrie 1, Hoˆpital d’Enfants, CHU, Dijon, France 7Service de Pe´dopsychiatrie, Hoˆpital d’Enfants, CHU, Dijon, France 8Service de Neurologie Pe´diatrique, CHU Lyon, Hoˆpital Femme Me`re Enfant, Bron, France Manuscript Received: 19 April 2013; Manuscript Accepted: 9 October 2013 In 2007, 250 families with X-linked intellectual disability (XLID) were screened for mutations in genes on the X-chromosome, and How to Cite this Article: ZDHHC9 in 4 of these families, mutations in the gene were Masurel-Paulet A, Kalscheuer VM, Lebrun identified. The ID was either isolated or associated with a N, Hu H, Levy F, Thauvin-Robinet C, marfanoid habitus. -
Content Based Search in Gene Expression Databases and a Meta-Analysis of Host Responses to Infection
Content Based Search in Gene Expression Databases and a Meta-analysis of Host Responses to Infection A Thesis Submitted to the Faculty of Drexel University by Francis X. Bell in partial fulfillment of the requirements for the degree of Doctor of Philosophy November 2015 c Copyright 2015 Francis X. Bell. All Rights Reserved. ii Acknowledgments I would like to acknowledge and thank my advisor, Dr. Ahmet Sacan. Without his advice, support, and patience I would not have been able to accomplish all that I have. I would also like to thank my committee members and the Biomed Faculty that have guided me. I would like to give a special thanks for the members of the bioinformatics lab, in particular the members of the Sacan lab: Rehman Qureshi, Daisy Heng Yang, April Chunyu Zhao, and Yiqian Zhou. Thank you for creating a pleasant and friendly environment in the lab. I give the members of my family my sincerest gratitude for all that they have done for me. I cannot begin to repay my parents for their sacrifices. I am eternally grateful for everything they have done. The support of my sisters and their encouragement gave me the strength to persevere to the end. iii Table of Contents LIST OF TABLES.......................................................................... vii LIST OF FIGURES ........................................................................ xiv ABSTRACT ................................................................................ xvii 1. A BRIEF INTRODUCTION TO GENE EXPRESSION............................. 1 1.1 Central Dogma of Molecular Biology........................................... 1 1.1.1 Basic Transfers .......................................................... 1 1.1.2 Uncommon Transfers ................................................... 3 1.2 Gene Expression ................................................................. 4 1.2.1 Estimating Gene Expression ............................................ 4 1.2.2 DNA Microarrays ...................................................... -
Statistical and Bioinformatic Analysis of Hemimethylation Patterns in Non-Small Cell Lung Cancer Shuying Sun1* , Austin Zane2, Carolyn Fulton3 and Jasmine Philipoom4
Sun et al. BMC Cancer (2021) 21:268 https://doi.org/10.1186/s12885-021-07990-7 RESEARCH ARTICLE Open Access Statistical and bioinformatic analysis of hemimethylation patterns in non-small cell lung cancer Shuying Sun1* , Austin Zane2, Carolyn Fulton3 and Jasmine Philipoom4 Abstract Background: DNA methylation is an epigenetic event involving the addition of a methyl-group to a cytosine- guanine base pair (i.e., CpG site). It is associated with different cancers. Our research focuses on studying non-small cell lung cancer hemimethylation, which refers to methylation occurring on only one of the two DNA strands. Many studies often assume that methylation occurs on both DNA strands at a CpG site. However, recent publications show the existence of hemimethylation and its significant impact. Therefore, it is important to identify cancer hemimethylation patterns. Methods: In this paper, we use the Wilcoxon signed rank test to identify hemimethylated CpG sites based on publicly available non-small cell lung cancer methylation sequencing data. We then identify two types of hemimethylated CpG clusters, regular and polarity clusters, and genes with large numbers of hemimethylated sites. Highly hemimethylated genes are then studied for their biological interactions using available bioinformatics tools. Results: In this paper, we have conducted the first-ever investigation of hemimethylation in lung cancer. Our results show that hemimethylation does exist in lung cells either as singletons or clusters. Most clusters contain only two or three CpG sites. Polarity clusters are much shorter than regular clusters and appear less frequently. The majority of clusters found in tumor samples have no overlap with clusters found in normal samples, and vice versa. -
Statistical and Bioinformatic Analysis of Hemimethylation Patterns in Lung Cancer
Statistical and Bioinformatic Analysis of Hemimethylation Patterns in Lung Cancer Shuying Sun ( [email protected] ) Texas State University San Marcos https://orcid.org/0000-0003-3974-6996 Austin Zane Texas A&M University College Station Carolyn Fulton Schreiner University Jasmine Philipoom Case Western Reserve University Research article Keywords: Methylation, Hemimethylation, Lung Cancer, Bioinformatics, Epigenetics Posted Date: March 20th, 2020 DOI: https://doi.org/10.21203/rs.3.rs-17794/v1 License: This work is licensed under a Creative Commons Attribution 4.0 International License. Read Full License Version of Record: A version of this preprint was published on March 12th, 2021. See the published version at https://doi.org/10.1186/s12885-021-07990-7. Page 1/28 Abstract Background: DNA methylation is an epigenetic event involving the addition of a methyl-group to a cytosine-guanine base pair (i.e., CpG site). It is associated with different cancers. Our research focuses on studying lung cancer hemimethylation, which refers to methylation occurring on only one of the two DNA strands. Many studies often assume that methylation occurs on both DNA strands at a CpG site. However, recent publications show the existence of hemimethylation and its impact. It is important to identify cancer hemimethylation patterns. Methods: In this paper, we use the Wilcoxon signed rank test to identify hemimethylated CpG sites based on publicly available lung cancer methylation sequencing data. We then identify two types of hemimethylated CpG clusters, regular and polarity clusters, and genes with large numbers of hemimethylated sites. Highly hemimethylated genes are then studied for their biological interactions using available bioinformatics tools. -
Role of Maternal Sin3a in Reprogramming Gene Expression During Mouse Preimplantation Development
University of Pennsylvania ScholarlyCommons Publicly Accessible Penn Dissertations 2016 Role Of Maternal Sin3a In Reprogramming Gene Expression During Mouse Preimplantation Development Richard A. Jimenez University of Pennsylvania, [email protected] Follow this and additional works at: https://repository.upenn.edu/edissertations Part of the Developmental Biology Commons, and the Genetics Commons Recommended Citation Jimenez, Richard A., "Role Of Maternal Sin3a In Reprogramming Gene Expression During Mouse Preimplantation Development" (2016). Publicly Accessible Penn Dissertations. 2366. https://repository.upenn.edu/edissertations/2366 This paper is posted at ScholarlyCommons. https://repository.upenn.edu/edissertations/2366 For more information, please contact [email protected]. Role Of Maternal Sin3a In Reprogramming Gene Expression During Mouse Preimplantation Development Abstract In mouse, the maternal-to-zygotic transition entails a dramatic reprogramming of gene expression during the course of zygotic genome activation, which is essential for continued development beyond the 2-cell stage. Superimposed on zygotic genome activation and reprogramming of gene expression is formation of a chromatin-mediated transcriptionally repressive state that promotes repression of genes at the 2-cell stage. Experimentally inducing global histone hyperacetylation relieves this repression and histone deacetylase 1 (HDAC1) is the major HDAC involved in the development of this transcriptionally repressive state. Because SIN3A is essential -
Sheet1 Page 1 Gene Symbol Gene Description Entrez Gene ID
Sheet1 RefSeq ID ProbeSets Gene Symbol Gene Description Entrez Gene ID Sequence annotation Seed matches location(s) Ago-2 binding specific enrichment (replicate 1) Ago-2 binding specific enrichment (replicate 2) OE lysate log2 fold change (replicate 1) OE lysate log2 fold change (replicate 2) Probability NM_022823 218843_at FNDC4 Homo sapiens fibronectin type III domain containing 4 (FNDC4), mRNA. 64838 TR(1..1649)CDS(367..1071) 1523..1530 3.73 1.77 -1.91 -0.39 1 NM_003919 204688_at SGCE Homo sapiens sarcoglycan, epsilon (SGCE), transcript variant 2, mRNA. 8910 TR(1..1709)CDS(112..1425) 1495..1501 3.09 1.56 -1.02 -0.27 1 NM_006982 206837_at ALX1 Homo sapiens ALX homeobox 1 (ALX1), mRNA. 8092 TR(1..1320)CDS(5..985) 916..923 2.99 1.93 -0.19 -0.33 1 NM_019024 233642_s_at HEATR5B Homo sapiens HEAT repeat containing 5B (HEATR5B), mRNA. 54497 TR(1..6792)CDS(97..6312) 5827..5834,4309..4315 3.28 1.51 -0.92 -0.23 1 NM_018366 223431_at CNO Homo sapiens cappuccino homolog (mouse) (CNO), mRNA. 55330 TR(1..1546)CDS(96..749) 1062..1069,925..932 2.89 1.51 -1.2 -0.41 1 NM_032436 226194_at C13orf8 Homo sapiens chromosome 13 open reading frame 8 (C13orf8), mRNA. 283489 TR(1..3782)CDS(283..2721) 1756..1762,3587..3594,1725..1731,3395..3402 2.75 1.72 -1.38 -0.34 1 NM_031450 221534_at C11orf68 Homo sapiens chromosome 11 open reading frame 68 (C11orf68), mRNA. 83638 TR(1..1568)CDS(153..908) 967..973 3.07 1.35 -0.72 -0.06 1 NM_033318 225795_at,225794_s_at C22orf32 Homo sapiens chromosome 22 open reading frame 32 (C22orf32), mRNA. -
Global and Local Connectivity Differences Converge with Gene Expression in a Neurodevelopmental Disorder of Known Genetic Origin
bioRxiv preprint doi: https://doi.org/10.1101/057687; this version posted June 7, 2016. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under aCC-BY-ND 4.0 International license. Global and local connectivity differences converge with gene expression in a neurodevelopmental disorder of known genetic origin Joe Bathelt1, Jessica Barnes1, F Lucy Raymond2, Kate Baker1,2*, Duncan Astle1* 1 MRC Cognition & Brain Sciences Unit, Cambridge, UK 2 Department of Medical Genetics, Cambridge Institute for Medical Research, University of Cambridge, Cambridge, United Kingdom *these authors take joint responsibility for senior authorship 1 bioRxiv preprint doi: https://doi.org/10.1101/057687; this version posted June 7, 2016. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under aCC-BY-ND 4.0 International license. 1 Abstract Knowledge of genetic cause in neurodevelopmental disorders can highlight molecular and cellular processes critical for typical development. Furthermore, the relative homogeneity of neurodevelopmental disorders of known genetic origin allows the researcher to establish the subsequent neurobiological processes that mediate cognitive and behavioural outcomes. The current study investigated white matter structural connectivity in a group of individuals with intellectual disability due to mutations in ZDHHC9. In addition to shared cause of cognitive impairment, these individuals have a shared cognitive profile, involving oro-motor control difficulties and expressive language impairment. -
XLMR Genes: Update 2007
European Journal of Human Genetics (2008) 16, 422–434 & 2008 Nature Publishing Group All rights reserved 1018-4813/08 $30.00 www.nature.com/ejhg REVIEW XLMR genes: update 2007 Pietro Chiurazzi*,1, Charles E Schwartz2, Jozef Gecz3,4 and Giovanni Neri*,1 1Institute of Medical Genetics, Catholic University, Rome, Italy; 2JC Self Research Institute of Human Genetics, Greenwood Genetic Center, Greenwood, SC, USA; 3Department of Genetic Medicine, Women’s and Children’s Hospital, Adelaide, South Australia, Australia; 4Department of Paediatrics, University of Adelaide, Adelaide, South Australia, Australia X-linked mental retardation (XLMR) is a common cause of inherited intellectual disability with an estimated prevalence of B1/1000 males. Most XLMR conditions are inherited as X-linked recessive traits, although female carriers may manifest usually milder symptoms. We have listed 215 XLMR conditions, subdivided according to their clinical presentation: 149 with specific clinical findings, including 98 syndromes and 51 neuromuscular conditions, and 66 nonspecific (MRX) forms. We also present a map of the 82 XLMR genes cloned to date (November 2007) and a map of the 97 conditions that have been positioned by linkage analysis or cytogenetic breakpoints. We briefly consider the molecular function of known XLMR proteins and discuss the possible strategies to identify the remaining XLMR genes. Final remarks are made on the natural history of XLMR conditions and on diagnostic issues. European Journal of Human Genetics (2008) 16, 422–434; doi:10.1038/sj.ejhg.5201994; -
A Computational Approach to Candidate Gene Prioritization for X
Lombard et al. Biology Direct 2011, 6:30 http://www.biology-direct.com/content/6/1/30 RESEARCH Open Access A computational approach to candidate gene prioritization for X-linked mental retardation using annotation-based binary filtering and motif-based linear discriminatory analysis Zané Lombard1*†, Chungoo Park2,3†, Kateryna D Makova2 and Michèle Ramsay1 Abstract Background: Several computational candidate gene selection and prioritization methods have recently been developed. These in silico selection and prioritization techniques are usually based on two central approaches - the examination of similarities to known disease genes and/or the evaluation of functional annotation of genes. Each of these approaches has its own caveats. Here we employ a previously described method of candidate gene prioritization based mainly on gene annotation, in accompaniment with a technique based on the evaluation of pertinent sequence motifs or signatures, in an attempt to refine the gene prioritization approach. We apply this approach to X-linked mental retardation (XLMR), a group of heterogeneous disorders for which some of the underlying genetics is known. Results: The gene annotation-based binary filtering method yielded a ranked list of putative XLMR candidate genes with good plausibility of being associated with the development of mental retardation. In parallel, a motif finding approach based on linear discriminatory analysis (LDA) was employed to identify short sequence patterns that may discriminate XLMR from non-XLMR genes. High rates (>80%) of correct classification was achieved, suggesting that the identification of these motifs effectively captures genomic signals associated with XLMR vs. non-XLMR genes. The computational tools developed for the motif-based LDA is integrated into the freely available genomic analysis portal Galaxy (http://main.g2.bx.psu.edu/). -
The Impact of X-Chromosome Inactivation on Phenotypic Expression of X-Linked Neurodevelopmental Disorders
brain sciences Review The Impact of X-Chromosome Inactivation on Phenotypic Expression of X-Linked Neurodevelopmental Disorders Boudewien A Brand 1, Alyssa E Blesson 1 and Constance L. Smith-Hicks 2,3,* 1 Center for Autism and Related Disorders, Kennedy Krieger Institute, Baltimore, MD 21205, USA; [email protected] (B.A.B.); [email protected] (A.E.B.) 2 Department of Neurology and Developmental Medicine, Kennedy Krieger Institute, Baltimore, MD 21205, USA 3 Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA * Correspondence: [email protected] Abstract: Nearly 20% of genes located on the X chromosome are associated with neurodevelopmental disorders (NDD) due to their expression and role in brain functioning. Given their location, several of these genes are either subject to or can escape X-chromosome inactivation (XCI). The degree to which genes are subject to XCI can influence the NDD phenotype between males and females. We provide a general review of X-linked NDD genes in the context of XCI and detailed discussion of the sex-based differences related to MECP2 and FMR1, two common X-linked causes of NDD that are subject to XCI. Understanding the effects of XCI on phenotypic expression of NDD genes may guide the development of stratification biomarkers in X-linked disorders. Keywords: X-chromosome inactivation; MECP2; FMR1; Rett syndrome; fragile X syndrome; FXTAS; POI; neurodevelopmental disorders Citation: Brand, B.A; Blesson, A.E; Smith-Hicks, C.L. The Impact of X-Chromosome Inactivation on Phenotypic Expression of X-Linked 1. Introduction Neurodevelopmental Disorders. Several genes on the X chromosome are specifically expressed in the brain and are Brain Sci.