The Ribose Methylation Enzyme FTSJ1 Has a Conserved Role in Neuron Morphology and Learning Performance
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Analysis of Gene Expression Data for Gene Ontology
ANALYSIS OF GENE EXPRESSION DATA FOR GENE ONTOLOGY BASED PROTEIN FUNCTION PREDICTION A Thesis Presented to The Graduate Faculty of The University of Akron In Partial Fulfillment of the Requirements for the Degree Master of Science Robert Daniel Macholan May 2011 ANALYSIS OF GENE EXPRESSION DATA FOR GENE ONTOLOGY BASED PROTEIN FUNCTION PREDICTION Robert Daniel Macholan Thesis Approved: Accepted: _______________________________ _______________________________ Advisor Department Chair Dr. Zhong-Hui Duan Dr. Chien-Chung Chan _______________________________ _______________________________ Committee Member Dean of the College Dr. Chien-Chung Chan Dr. Chand K. Midha _______________________________ _______________________________ Committee Member Dean of the Graduate School Dr. Yingcai Xiao Dr. George R. Newkome _______________________________ Date ii ABSTRACT A tremendous increase in genomic data has encouraged biologists to turn to bioinformatics in order to assist in its interpretation and processing. One of the present challenges that need to be overcome in order to understand this data more completely is the development of a reliable method to accurately predict the function of a protein from its genomic information. This study focuses on developing an effective algorithm for protein function prediction. The algorithm is based on proteins that have similar expression patterns. The similarity of the expression data is determined using a novel measure, the slope matrix. The slope matrix introduces a normalized method for the comparison of expression levels throughout a proteome. The algorithm is tested using real microarray gene expression data. Their functions are characterized using gene ontology annotations. The results of the case study indicate the protein function prediction algorithm developed is comparable to the prediction algorithms that are based on the annotations of homologous proteins. -
Centre for Arab Genomic Studies a Division of Sheikh Hamdan Award for Medical Sciences
Centre for Arab Genomic Studies A Division of Sheikh Hamdan Award for Medical Sciences The Catalogue for Transmission Genetics in Arabs CTGA Database tRNA Methyltransferase 1, S. Cerevisiae, Homolog of Alternative Names planus. These findings are further bolstered by the TRMT1 fact that mutations in two other RNA- N2,N2-Dimethylguanosine-26 tRNA methyltransferase genes, NSUN2 and FTSJ1, have Methyltransferase been associated with intellectual disability. tRNA(m(2,2)G26)Dimethyltransferase Record Category Molecular Genetics Gene locus The TRMT1 gene is located on the short arm of chromosome 19 and spans a length of 12.6 kb of WHO-ICD DNA. Its coding sequence is spread across 18 N/A to gene loci exons and it encodes a 72.2 kDa protein product comprised of 659 amino acids. An additional 69.3 Incidence per 100,000 Live Births kDa isoform of the TRMT1 protein exists due to an N/A to gene loci alternatively spliced transcript variant. The gene is widely expressed in the human body, particularly in OMIM Number the nervous system, intestine, spleen, kidney and 611669 lung. Mode of Inheritance Epidemiology in the Arab World N/A to gene loci Saudi Arabia Monies et al. (2017) studied the findings of 1000 Gene Map Locus diagnostic panels and exomes carried out at a next 19p13.13 generation sequencing lab in Saudi Arabia. One patient, a 13-year-old male, presented with speech Description delay, intellectual disability, learning disability, The TRMT1 gene encodes a methyltransferase hypotonia and seizures. Using whole exome enzyme that acts on tRNA. This enzyme, which sequencing, a homozygous mutation consists of a zinc finger motif and an (c.1245_1246del, p.L415fs) was identified in exon arginine/proline rich region at its C-terminus, is 10 of the patient’s TRMT1 gene. -
ITRAQ-Based Quantitative Proteomic Analysis of Processed Euphorbia Lathyris L
Zhang et al. Proteome Science (2018) 16:8 https://doi.org/10.1186/s12953-018-0136-6 RESEARCH Open Access ITRAQ-based quantitative proteomic analysis of processed Euphorbia lathyris L. for reducing the intestinal toxicity Yu Zhang1, Yingzi Wang1*, Shaojing Li2*, Xiuting Zhang1, Wenhua Li1, Shengxiu Luo1, Zhenyang Sun1 and Ruijie Nie1 Abstract Background: Euphorbia lathyris L., a Traditional Chinese medicine (TCM), is commonly used for the treatment of hydropsy, ascites, constipation, amenorrhea, and scabies. Semen Euphorbiae Pulveratum, which is another type of Euphorbia lathyris that is commonly used in TCM practice and is obtained by removing the oil from the seed that is called paozhi, has been known to ease diarrhea. Whereas, the mechanisms of reducing intestinal toxicity have not been clearly investigated yet. Methods: In this study, the isobaric tags for relative and absolute quantitation (iTRAQ) in combination with the liquid chromatography-tandem mass spectrometry (LC-MS/MS) proteomic method was applied to investigate the effects of Euphorbia lathyris L. on the protein expression involved in intestinal metabolism, in order to illustrate the potential attenuated mechanism of Euphorbia lathyris L. processing. Differentially expressed proteins (DEPs) in the intestine after treated with Semen Euphorbiae (SE), Semen Euphorbiae Pulveratum (SEP) and Euphorbiae Factor 1 (EFL1) were identified. The bioinformatics analysis including GO analysis, pathway analysis, and network analysis were done to analyze the key metabolic pathways underlying the attenuation mechanism through protein network in diarrhea. Western blot were performed to validate selected protein and the related pathways. Results: A number of differentially expressed proteins that may be associated with intestinal inflammation were identified. -
Rahu Is a Mutant Allele of Dnmt3c, Encoding a DNA Methyltransferase Homolog Required for Meiosis and Transposon Repression in the Mouse Male Germline
bioRxiv preprint doi: https://doi.org/10.1101/121822; this version posted August 7, 2017. 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-NC-ND 4.0 International license. rahu is a mutant allele of Dnmt3c, encoding a DNA methyltransferase homolog required for meiosis and transposon repression in the mouse male germline Devanshi Jain1*, Cem Meydan2,3, Julian Lange1,4, Corentin Claeys Bouuaert1,4, Christopher E. Mason2,3,5, Kathryn V. Anderson6, Scott Keeney1,4* 1Molecular Biology Program, Memorial Sloan Kettering Cancer Center, New York, New York, United States of America 2Department of Physiology and Biophysics, Weill Cornell Medical College, New York, New York, United States of America 3The HRH Prince Alwaleed Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, Weill Cornell Medical College, New York, New York, United States of America 4Howard Hughes Medical Institute, New York, New York, United States of America 5The Feil Family Brain and Mind Research Institute, New York, New York, United States of America 6Developmental Biology Program, Memorial Sloan Kettering Cancer Center, New York, New York, United States of America *Corresponding authors E-mail: [email protected] (DJ); [email protected] (SK) 1 bioRxiv preprint doi: https://doi.org/10.1101/121822; this version posted August 7, 2017. 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. -
Viewer [Data Initial flurothyl-Induced Gsts Are Consistent with Not Shown (Yang Et Al
INVESTIGATION Multidimensional Genetic Analysis of Repeated Seizures in the Hybrid Mouse Diversity Panel Reveals a Novel Epileptogenesis Susceptibility Locus Russell J. Ferland,*,†,‡,1 Jason Smith,§ Dominick Papandrea,‡ Jessica Gracias,** Leah Hains,§ Sridhar B. Kadiyala,* Brittany O’Brien,** Eun Yong Kang,†† Barbara S. Beyer,* and Bruce J. Herron§,**,1 *Department of Neuroscience and Experimental Therapeutics and †Department of Neurology, Albany Medical College, Albany, New York 12208, ‡Department of Biological Sciences, Center for Biotechnology and Interdisciplinary Studies, § Rensselaer Polytechnic Institute, Troy, New York 12180, Wadsworth Center, New York State Department of Health, Albany, New York 12201 **Department of Biomedical Sciences, School of Public Health, University at Albany, State University of New York, New York 12201, and ††Department of Computer Science, University of California, Los Angeles, California 90095 ORCID IDs: 0000-0002-8044-2479 (R.J.F.); 0000-0002-0233-9513 (B.J.H.) ABSTRACT Epilepsy has many causes and comorbidities affecting as many as 4% of people in their KEYWORDS lifetime. Both idiopathic and symptomatic epilepsies are highly heritable, but genetic factors are difficult to genetics characterize among humans due to complex disease etiologies. Rodent genetic studies have been critical to epilepsy the discovery of seizure susceptibility loci, including Kcnj10 mutations identified in both mouse and human preclinical model cohorts. However, genetic analyses of epilepsy phenotypes in mice to date have been carried out as acute neuronal studies in seizure-naive animals or in Mendelian models of epilepsy, while humans with epilepsy have a plasticity history of recurrent seizures that also modify brain physiology. We have applied a repeated seizure model to a complex traits genetic reference population, following seizure susceptibility over a 36-d period. -
The Ribose Methylation Enzyme FTSJ1 Has a Conserved Role in Neuron Morphology and Learning Performance
bioRxiv preprint doi: https://doi.org/10.1101/2021.02.06.430044; this version posted July 25, 2021. 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-NC-ND 4.0 International license. The ribose methylation enzyme FTSJ1 has a conserved role in neuron morphology and learning performance Dilyana G Dimitrova1*, Mira Brazane1*, Julien Pigeon2, Chiara Paolantoni3, Tao Ye4, Virginie Marchand5, Bruno Da Silva1, Elise Schaefer6, Margarita T Angelova1, Zornitza Stark7, Martin Delatycki7, Tracy Dudding-Byth8, Jozef Gecz9, Pierre-Yves Placais10, Laure Teysset1, Thomas Preat10, Amélie Piton4, Bassem A. Hassan2, Jean-Yves Roignant3,11, Yuri Motorin12 and Clément Carré1,#. 1Transgenerational Epigenetics & small RNA Biology, Sorbonne Université, Centre National de la Recherche Scientifique, Laboratoire de Biologie du Développement - Institut de Biologie Paris Seine, 9 Quai Saint Bernard, 75005 Paris, France. 2Paris Brain Institute-Institut du Cerveau (ICM), Sorbonne Université, Inserm, CNRS, Hôpital Pitié-Salpêtrière, Paris, France. 3Center for Integrative Genomics, Génopode Building, Faculty of Biology and Medicine, University of Lausanne, Lausanne, Switzerland. 4Institute of Genetics and Molecular and Cellular Biology, Strasbourg University, CNRS UMR7104, INSERM U1258, 67400 Illkirch, France. 5Université de Lorraine, CNRS, INSERM, EpiRNASeq Core Facility, UMS2008/US40 IBSLor ,F-54000 Nancy, France. 6Service de Génétique Médicale, Hôpitaux Universitaires de Strasbourg, Institut de Génétique Médicale d’Alsace, Strasbourg, France. 7Victorian Clinical Genetics Services, Murdoch Children's Research Institute, Melbourne, VIC, Australia. Department of Paediatrics, The University of Melbourne, Melbourne, VIC, Australia. 8University of Newcastle, Newcastle, NSW Australia. -
5 Zusammenfassung
Zusammenfassung 5 Zusammenfassung Geistige Behinderung ist eine äußerst heterogene Erkrankung. Schwere Formen dieser Erkrankung, charakterisiert durch einen IQ geringer als 50, haben hauptsächlich genetische Ursachen, wobei viele durch einen Defekt in einem einzigen Gen verursacht werden. In letzter Zeit ist der Nachweis einiger dieser genetischen Defekte, hauptsächlich auf dem X Chromosom, gelungen. Trotzdem bleibt die molekulare Ursache von X-chromosomal gekoppelter geistiger Behinderung (XLMR) in vielen Fällen immer noch ungeklärt. Hingegen hat die Identifizierung von autosomalen Genen, die eine Rolle bei der Entwicklung von kognitiven Fähigkeiten spielen, gerade erst begonnen. Das Ziel der vorliegenden Arbeit war es einen Beitrag zur Erweiterung des Verständnisses der molekularbiologischen Ursachen von geistiger Behinderung zu leisten. Diese Erkrankung ist immer noch eines der größten ungelösten Probleme der klinischen Genetik und ein wichtiger Aspekt der Gesundheitsvorsorge. Als Ursache für X-chromosomale nicht-syndromale geistige Behinderung (NS- XLMR) sind bereits mehrere Gene identifiziert worden. Dennoch legt die geringe Mutationshäufigkeit in den bislang identifizierten Genen bei Familien mit NS-XLMR nahe, daß ungefähr 30 bis 100 weitere NS-XLMR Gene existieren (Ropers et al., 2003). Kürzlich konnte durch die Analyse von Kopplungsdaten verschiedener Familien gezeigt werden, daß ungefähr 30% der genetischen Defekte auf dem proximalen Arm des X-Chromosoms lokalisiert sind (Ropers et al., 2003). Im Rahmen der vorliegenden Arbeit wurde eine systematische Analyse von gehirnspezifisch exprimierten Genen, die in dieser Region des X-Chromosoms lokalisiert sind, durchgeführt. Diese Untersuchungen zeigten, daß Mutationen in den X-chromosomalen Genen FTSJ1 und PQBP1 bei männlichen Patienten zu geistiger Behinderung führen. Ebenso konnte gezeigt werden, daß die unterschiedlichen Mutationen in den verschiedenen Familien mit der Erkrankung kosegregiert. -
A Temporally Controlled Sequence of X-Chromosome Inactivation and Reactivation Defines Female Mouse in Vitro Germ Cells with Meiotic Potential
bioRxiv preprint doi: https://doi.org/10.1101/2021.08.11.455976; this version posted August 11, 2021. 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-NC 4.0 International license. A temporally controlled sequence of X-chromosome inactivation and reactivation defines female mouse in vitro germ cells with meiotic potential Jacqueline Severino1†, Moritz Bauer1,9†, Tom Mattimoe1, Niccolò Arecco1, Luca Cozzuto1, Patricia Lorden2, Norio Hamada3, Yoshiaki Nosaka4,5,6, So Nagaoka4,5,6, Holger Heyn2, Katsuhiko Hayashi7, Mitinori Saitou4,5,6 and Bernhard Payer1,8* Abstract The early mammalian germ cell lineage is characterized by extensive epigenetic reprogramming, which is required for the maturation into functional eggs and sperm. In particular, the epigenome needs to be reset before parental marks can be established and then transmitted to the next generation. In the female germ line, reactivation of the inactive X- chromosome is one of the most prominent epigenetic reprogramming events, and despite its scale involving an entire chromosome affecting hundreds of genes, very little is known about its kinetics and biological function. Here we investigate X-chromosome inactivation and reactivation dynamics by employing a tailor-made in vitro system to visualize the X-status during differentiation of primordial germ cell-like cells (PGCLCs) from female mouse embryonic stem cells (ESCs). We find that the degree of X-inactivation in PGCLCs is moderate when compared to somatic cells and characterized by a large number of genes escaping full inactivation. -
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. -
Human RNA Nm-Mtase FTSJ1: New Trna Targets and Role in the Regulation of Brain-Specific Genes
bioRxiv preprint doi: https://doi.org/10.1101/2021.02.06.430044; this version posted February 8, 2021. 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-NC-ND 4.0 International license. Human RNA Nm-MTase FTSJ1: new tRNA targets and role in the regulation of brain-specific genes. 1 1 2 3 2 Dilyana G. Dimitrova , Mira Brazane , Tao Ye , Virginie Marchand , Elise Schaefer , Zornitza 4 5 6 7 1 2 Stark , Martin Delatycki , Tracy Dudding , Jozef Gecz , Laure Teysset , Amélie Piton , Yuri 8 1,# Motorin and Clément Carré . 1 Transgenerational Epigenetics & small RNA Biology, Sorbonne Université, Centre National de la Recherche Scientifique, Laboratoire de Biologie du Développement - Institut de Biologie Paris Seine, 9 Quai Saint Bernard, 75005 Paris, France. 2 Institute of Genetics and Molecular and Cellular Biology, Strasbourg University, CNRS UMR7104, INSERM U1258, 67400 Illkirch, France. 3 Université de Lorraine, CNRS, INSERM, EpiRNASeq Core Facility, UMS2008/US40 IBSLor ,F-54000 Nancy, France. 4 Australian Health and Medical Research Institute, Adelaide, South Australia, 5000, Australia. Victorian Clinical Genetics Services, Murdoch Children's Research Institute, Melbourne, VIC, Australia. The University of Melbourne, Melbourne, VIC, Australia. 5 Bruce Lefroy Centre for Genetic Health Research, Murdoch Children's Research Institute, Parkville, 3052, Australia.Physiotherapy Department, Monash Health, Cheltenham, Australia. Department of Paediatrics, The University of Melbourne, Parkville, Australia. School of Psychological Sciences, Monash University, Clayton, Australia. Victorian Clinical Genetics Services, Melbourne, Australia. 6 Genetics of Learning Disability, Hunter Genetics, Waratah, NSW 2298, Australia. -
Impact of Low-Frequency Coding Variants on Human Facial Shape
www.nature.com/scientificreports OPEN Impact of low‑frequency coding variants on human facial shape Dongjing Liu1, Nora Alhazmi2,3, Harold Matthews4,5, Myoung Keun Lee6, Jiarui Li7, Jacqueline T. Hecht8, George L. Wehby9, Lina M. Moreno10, Carrie L. Heike11, Jasmien Roosenboom6, Eleanor Feingold1,12, Mary L. Marazita1,6, Peter Claes4,7, Eric C. Liao13, Seth M. Weinberg1,6* & John R. Shafer1,6* The contribution of low‑frequency variants to the genetic architecture of normal‑range facial traits is unknown. We studied the infuence of low‑frequency coding variants (MAF < 1%) in 8091 genes on multi‑dimensional facial shape phenotypes in a European cohort of 2329 healthy individuals. Using three‑dimensional images, we partitioned the full face into 31 hierarchically arranged segments to model facial morphology at multiple levels, and generated multi‑dimensional phenotypes representing the shape variation within each segment. We used MultiSKAT, a multivariate kernel regression approach to scan the exome for face‑associated low‑frequency variants in a gene‑based manner. After accounting for multiple tests, seven genes (AR, CARS2, FTSJ1, HFE, LTB4R, TELO2, NECTIN1) were signifcantly associated with shape variation of the cheek, chin, nose and mouth areas. These genes displayed a wide range of phenotypic efects, with some impacting the full face and others afecting localized regions. The missense variant rs142863092 in NECTIN1 had a signifcant efect on chin morphology and was predicted bioinformatically to have a deleterious efect on protein function. Notably, NECTIN1 is an established craniofacial gene that underlies a human syndrome that includes a mandibular phenotype. We further showed that nectin1a mutations can afect zebrafsh craniofacial development, with the size and shape of the mandibular cartilage altered in mutant animals. -
By IL-4 in Memory CD8 T Cells Negative Regulation of NKG2D
Negative Regulation of NKG2D Expression by IL-4 in Memory CD8 T Cells Erwan Ventre, Lilia Brinza, Stephane Schicklin, Julien Mafille, Charles-Antoine Coupet, Antoine Marçais, Sophia This information is current as Djebali, Virginie Jubin, Thierry Walzer and Jacqueline of October 2, 2021. Marvel J Immunol published online 31 August 2012 http://www.jimmunol.org/content/early/2012/08/31/jimmun ol.1102954 Downloaded from Supplementary http://www.jimmunol.org/content/suppl/2012/09/04/jimmunol.110295 Material 4.DC1 http://www.jimmunol.org/ Why The JI? Submit online. • Rapid Reviews! 30 days* from submission to initial decision • No Triage! Every submission reviewed by practicing scientists • Fast Publication! 4 weeks from acceptance to publication by guest on October 2, 2021 *average Subscription Information about subscribing to The Journal of Immunology is online at: http://jimmunol.org/subscription Permissions Submit copyright permission requests at: http://www.aai.org/About/Publications/JI/copyright.html Email Alerts Receive free email-alerts when new articles cite this article. Sign up at: http://jimmunol.org/alerts The Journal of Immunology is published twice each month by The American Association of Immunologists, Inc., 1451 Rockville Pike, Suite 650, Rockville, MD 20852 Copyright © 2012 by The American Association of Immunologists, Inc. All rights reserved. Print ISSN: 0022-1767 Online ISSN: 1550-6606. Published August 31, 2012, doi:10.4049/jimmunol.1102954 The Journal of Immunology Negative Regulation of NKG2D Expression by IL-4 in Memory CD8 T Cells Erwan Ventre, Lilia Brinza,1 Stephane Schicklin,1 Julien Mafille, Charles-Antoine Coupet, Antoine Marc¸ais, Sophia Djebali, Virginie Jubin, Thierry Walzer, and Jacqueline Marvel IL-4 is one of the main cytokines produced during Th2-inducing pathologies.