VIEW Open Access Nucleo–Cytoplasmic Transport Defects and Protein Aggregates in Neurodegeneration Giacomo Bitetto and Alessio Di Fonzo*
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Nuclear and Mitochondrial Genome Defects in Autisms
UC Irvine UC Irvine Previously Published Works Title Nuclear and mitochondrial genome defects in autisms. Permalink https://escholarship.org/uc/item/8vq3278q Journal Annals of the New York Academy of Sciences, 1151(1) ISSN 0077-8923 Authors Smith, Moyra Spence, M Anne Flodman, Pamela Publication Date 2009 DOI 10.1111/j.1749-6632.2008.03571.x License https://creativecommons.org/licenses/by/4.0/ 4.0 Peer reviewed eScholarship.org Powered by the California Digital Library University of California THE YEAR IN HUMAN AND MEDICAL GENETICS 2009 Nuclear and Mitochondrial Genome Defects in Autisms Moyra Smith, M. Anne Spence, and Pamela Flodman Department of Pediatrics, University of California, Irvine, California In this review we will evaluate evidence that altered gene dosage and structure im- pacts neurodevelopment and neural connectivity through deleterious effects on synap- tic structure and function, and evidence that the latter are key contributors to the risk for autism. We will review information on alterations of structure of mitochondrial DNA and abnormal mitochondrial function in autism and indications that interactions of the nuclear and mitochondrial genomes may play a role in autism pathogenesis. In a final section we will present data derived using Affymetrixtm SNP 6.0 microar- ray analysis of DNA of a number of subjects and parents recruited to our autism spectrum disorders project. We include data on two sets of monozygotic twins. Col- lectively these data provide additional evidence of nuclear and mitochondrial genome imbalance in autism and evidence of specific candidate genes in autism. We present data on dosage changes in genes that map on the X chromosomes and the Y chro- mosome. -
Bppart and Bpmax: RNA-RNA Interaction Partition Function and Structure Prediction for the Base Pair Counting Model
BPPart and BPMax: RNA-RNA Interaction Partition Function and Structure Prediction for the Base Pair Counting Model Ali Ebrahimpour-Boroojeny, Sanjay Rajopadhye, and Hamidreza Chitsaz ∗ Department of Computer Science, Colorado State University Abstract A few elite classes of RNA-RNA interaction (RRI), with complex roles in cellular functions such as miRNA-target and lncRNAs in human health, have already been studied. Accordingly, RRI bioinfor- matics tools tailored for those elite classes have been proposed in the last decade. Interestingly, there are somewhat unnoticed mRNA-mRNA interactions in the literature with potentially drastic biological roles. Hence, there is a need for high-throughput generic RRI bioinformatics tools. We revisit our RRI partition function algorithm, piRNA, which happens to be the most comprehensive and computationally-intensive thermodynamic model for RRI. We propose simpler models that are shown to retain the vast majority of the thermodynamic information that piRNA captures. We simplify the energy model and instead consider only weighted base pair counting to obtain BPPart for Base-pair Partition function and BPMax for Base-pair Maximization which are 225 and 1350 faster ◦ × × than piRNA, with a correlation of 0.855 and 0.836 with piRNA at 37 C on 50,500 experimentally charac- terized RRIs. This correlation increases to 0.920 and 0.904, respectively, at 180◦C. − Finally, we apply our algorithm BPPart to discover two disease-related RNAs, SNORD3D and TRAF3, and hypothesize their potential roles in Parkinson's disease and Cerebral Autosomal Dominant Arteri- opathy with Subcortical Infarcts and Leukoencephalopathy (CADASIL). 1 Introduction Since mid 1990s with the advent of RNA interference discovery, RNA-RNA interaction (RRI) has moved to the spotlight in modern, post-genome biology. -
Epigenome-Wide Exploratory Study of Monozygotic Twins Suggests Differentially Methylated Regions to Associate with Hand Grip Strength
Biogerontology (2019) 20:627–647 https://doi.org/10.1007/s10522-019-09818-1 (0123456789().,-volV)( 0123456789().,-volV) RESEARCH ARTICLE Epigenome-wide exploratory study of monozygotic twins suggests differentially methylated regions to associate with hand grip strength Mette Soerensen . Weilong Li . Birgit Debrabant . Marianne Nygaard . Jonas Mengel-From . Morten Frost . Kaare Christensen . Lene Christiansen . Qihua Tan Received: 15 April 2019 / Accepted: 24 June 2019 / Published online: 28 June 2019 Ó The Author(s) 2019 Abstract Hand grip strength is a measure of mus- significant CpG sites or pathways were found, how- cular strength and is used to study age-related loss of ever two of the suggestive top CpG sites were mapped physical capacity. In order to explore the biological to the COL6A1 and CACNA1B genes, known to be mechanisms that influence hand grip strength varia- related to muscular dysfunction. By investigating tion, an epigenome-wide association study (EWAS) of genomic regions using the comb-p algorithm, several hand grip strength in 672 middle-aged and elderly differentially methylated regions in regulatory monozygotic twins (age 55–90 years) was performed, domains were identified as significantly associated to using both individual and twin pair level analyses, the hand grip strength, and pathway analyses of these latter controlling the influence of genetic variation. regions revealed significant pathways related to the Moreover, as measurements of hand grip strength immune system, autoimmune disorders, including performed over 8 years were available in the elderly diabetes type 1 and viral myocarditis, as well as twins (age 73–90 at intake), a longitudinal EWAS was negative regulation of cell differentiation. -
Cellular and Molecular Signatures in the Disease Tissue of Early
Cellular and Molecular Signatures in the Disease Tissue of Early Rheumatoid Arthritis Stratify Clinical Response to csDMARD-Therapy and Predict Radiographic Progression Frances Humby1,* Myles Lewis1,* Nandhini Ramamoorthi2, Jason Hackney3, Michael Barnes1, Michele Bombardieri1, Francesca Setiadi2, Stephen Kelly1, Fabiola Bene1, Maria di Cicco1, Sudeh Riahi1, Vidalba Rocher-Ros1, Nora Ng1, Ilias Lazorou1, Rebecca E. Hands1, Desiree van der Heijde4, Robert Landewé5, Annette van der Helm-van Mil4, Alberto Cauli6, Iain B. McInnes7, Christopher D. Buckley8, Ernest Choy9, Peter Taylor10, Michael J. Townsend2 & Costantino Pitzalis1 1Centre for Experimental Medicine and Rheumatology, William Harvey Research Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, Charterhouse Square, London EC1M 6BQ, UK. Departments of 2Biomarker Discovery OMNI, 3Bioinformatics and Computational Biology, Genentech Research and Early Development, South San Francisco, California 94080 USA 4Department of Rheumatology, Leiden University Medical Center, The Netherlands 5Department of Clinical Immunology & Rheumatology, Amsterdam Rheumatology & Immunology Center, Amsterdam, The Netherlands 6Rheumatology Unit, Department of Medical Sciences, Policlinico of the University of Cagliari, Cagliari, Italy 7Institute of Infection, Immunity and Inflammation, University of Glasgow, Glasgow G12 8TA, UK 8Rheumatology Research Group, Institute of Inflammation and Ageing (IIA), University of Birmingham, Birmingham B15 2WB, UK 9Institute of -
Protein Nuclear Import and Beyond ⇑ Laure Twyffels A,B, , Cyril Gueydan A,1, Véronique Kruys A,B,1
View metadata, citation and similar papers at core.ac.uk brought to you by CORE provided by Elsevier - Publisher Connector FEBS Letters 588 (2014) 1857–1868 journal homepage: www.FEBSLetters.org Review Transportin-1 and Transportin-2: Protein nuclear import and beyond ⇑ Laure Twyffels a,b, , Cyril Gueydan a,1, Véronique Kruys a,b,1 a Laboratoire de Biologie moléculaire du gène (CP300), Faculté des Sciences, Université Libre de Bruxelles (ULB), Belgium b Center for Microscopy and Molecular Imaging (CMMI), 6041 Gosselies, Belgium article info abstract Article history: Nearly 20 years after its identification as a new b-karyopherin mediating the nuclear import of the Received 15 February 2014 RNA-binding protein hnRNP A1, Transportin-1 is still commonly overlooked in comparison with its Revised 12 April 2014 best known cousin, Importin-b. Transportin-1 is nonetheless a considerable player in nucleo-cyto- Accepted 16 April 2014 plasmic transport. Over the past few years, significant progress has been made in the characteriza- Available online 26 April 2014 tion of the nuclear localization signals (NLSs) that Transportin-1 recognizes, thereby providing the Edited by Ulrike Kutay molecular basis of its diversified repertoire of cargoes. The recent discovery that mutations in the Transportin-dependent NLS of FUS cause mislocalization of this protein and result in amyotrophic lateral sclerosis illustrates the importance of Transportin-dependent import for human health. Keywords: Transportin Besides, new functions of Transportin-1 are emerging in processes other than nuclear import. Here, Importins we summarize what is known about Transportin-1 and the related b-karyopherin Transportin-2. Karyopherins Ó 2014 Federation of European Biochemical Societies. -
A High-Throughput Approach to Uncover Novel Roles of APOBEC2, a Functional Orphan of the AID/APOBEC Family
Rockefeller University Digital Commons @ RU Student Theses and Dissertations 2018 A High-Throughput Approach to Uncover Novel Roles of APOBEC2, a Functional Orphan of the AID/APOBEC Family Linda Molla Follow this and additional works at: https://digitalcommons.rockefeller.edu/ student_theses_and_dissertations Part of the Life Sciences Commons A HIGH-THROUGHPUT APPROACH TO UNCOVER NOVEL ROLES OF APOBEC2, A FUNCTIONAL ORPHAN OF THE AID/APOBEC FAMILY A Thesis Presented to the Faculty of The Rockefeller University in Partial Fulfillment of the Requirements for the degree of Doctor of Philosophy by Linda Molla June 2018 © Copyright by Linda Molla 2018 A HIGH-THROUGHPUT APPROACH TO UNCOVER NOVEL ROLES OF APOBEC2, A FUNCTIONAL ORPHAN OF THE AID/APOBEC FAMILY Linda Molla, Ph.D. The Rockefeller University 2018 APOBEC2 is a member of the AID/APOBEC cytidine deaminase family of proteins. Unlike most of AID/APOBEC, however, APOBEC2’s function remains elusive. Previous research has implicated APOBEC2 in diverse organisms and cellular processes such as muscle biology (in Mus musculus), regeneration (in Danio rerio), and development (in Xenopus laevis). APOBEC2 has also been implicated in cancer. However the enzymatic activity, substrate or physiological target(s) of APOBEC2 are unknown. For this thesis, I have combined Next Generation Sequencing (NGS) techniques with state-of-the-art molecular biology to determine the physiological targets of APOBEC2. Using a cell culture muscle differentiation system, and RNA sequencing (RNA-Seq) by polyA capture, I demonstrated that unlike the AID/APOBEC family member APOBEC1, APOBEC2 is not an RNA editor. Using the same system combined with enhanced Reduced Representation Bisulfite Sequencing (eRRBS) analyses I showed that, unlike the AID/APOBEC family member AID, APOBEC2 does not act as a 5-methyl-C deaminase. -
BMC Medical Genomics Biomed Central
BMC Medical Genomics BioMed Central Research article Open Access Gene expression profile analysis of human hepatocellular carcinoma using SAGE and LongSAGE Hui Dong†1,2,5, Xijin Ge†3, Yan Shen4, Linlei Chen6, Yalin Kong7, Hongyi Zhang7, Xiaobo Man2, Liang Tang2, Hong Yuan6, Hongyang Wang2, Guoping Zhao*1,4,5 and Weirong Jin*4,5 Address: 1Department of Microbiology and Microbial Engineering, School of Life Sciences, Fudan University, Shanghai 200433, PR China, 2International Cooperation Laboratory on Signal Transduction, Eastern Hepatobiliary Surgery Institute, Second Military Medical University, Shanghai 200438, PR China, 3Department of Mathematics and Statistics, South Dakota State University, Brookings, SD 57006, USA, 4National Engineering Center for Biochip at Shanghai, Shanghai 201203, PR China, 5Chinese National Human Genome Center at Shanghai, 351 Guo Shou- Jing Road, Shanghai 201203, PR China, 6Center for Clinical Pharmacology, Third Xiangya Hospital, Central South University, Changsha 410013, PR China and 7Department of Hepatobiliary Surgery, General Hospital of Air Force PLA, Beijing 100036, PR China Email: Hui Dong - [email protected]; Xijin Ge - [email protected]; Yan Shen - [email protected]; Linlei Chen - [email protected]; Yalin Kong - [email protected]; Hongyi Zhang - [email protected]; Xiaobo Man - [email protected]; Liang Tang - [email protected]; Hong Yuan - [email protected]; Hongyang Wang - [email protected]; Guoping Zhao* - [email protected]; Weirong Jin* - [email protected] * Corresponding authors †Equal contributors Published: 26 January 2009 Received: 9 October 2008 Accepted: 26 January 2009 BMC Medical Genomics 2009, 2:5 doi:10.1186/1755-8794-2-5 This article is available from: http://www.biomedcentral.com/1755-8794/2/5 © 2009 Dong et al; licensee BioMed Central Ltd. -
Table S1. 103 Ferroptosis-Related Genes Retrieved from the Genecards
Table S1. 103 ferroptosis-related genes retrieved from the GeneCards. Gene Symbol Description Category GPX4 Glutathione Peroxidase 4 Protein Coding AIFM2 Apoptosis Inducing Factor Mitochondria Associated 2 Protein Coding TP53 Tumor Protein P53 Protein Coding ACSL4 Acyl-CoA Synthetase Long Chain Family Member 4 Protein Coding SLC7A11 Solute Carrier Family 7 Member 11 Protein Coding VDAC2 Voltage Dependent Anion Channel 2 Protein Coding VDAC3 Voltage Dependent Anion Channel 3 Protein Coding ATG5 Autophagy Related 5 Protein Coding ATG7 Autophagy Related 7 Protein Coding NCOA4 Nuclear Receptor Coactivator 4 Protein Coding HMOX1 Heme Oxygenase 1 Protein Coding SLC3A2 Solute Carrier Family 3 Member 2 Protein Coding ALOX15 Arachidonate 15-Lipoxygenase Protein Coding BECN1 Beclin 1 Protein Coding PRKAA1 Protein Kinase AMP-Activated Catalytic Subunit Alpha 1 Protein Coding SAT1 Spermidine/Spermine N1-Acetyltransferase 1 Protein Coding NF2 Neurofibromin 2 Protein Coding YAP1 Yes1 Associated Transcriptional Regulator Protein Coding FTH1 Ferritin Heavy Chain 1 Protein Coding TF Transferrin Protein Coding TFRC Transferrin Receptor Protein Coding FTL Ferritin Light Chain Protein Coding CYBB Cytochrome B-245 Beta Chain Protein Coding GSS Glutathione Synthetase Protein Coding CP Ceruloplasmin Protein Coding PRNP Prion Protein Protein Coding SLC11A2 Solute Carrier Family 11 Member 2 Protein Coding SLC40A1 Solute Carrier Family 40 Member 1 Protein Coding STEAP3 STEAP3 Metalloreductase Protein Coding ACSL1 Acyl-CoA Synthetase Long Chain Family Member 1 Protein -
Sequence Tags for Camelus Dromedarius
Sequencing, Analysis, and Annotation of Expressed Sequence Tags for Camelus dromedarius Abdulaziz M. Al-Swailem1, Maher M. Shehata1, Faisel M. Abu-Duhier1, Essam J. Al-Yamani1, Khalid A. Al-Busadah2, Mohammed S. Al-Arawi1, Ali Y. Al-Khider1, Abdullah N. Al-Muhaimeed1, Fahad H. Al-Qahtani1, Manee M. Manee1, Badr M. Al-Shomrani1, Saad M. Al-Qhtani1, Amer S. Al-Harthi1, Kadir C. Akdemir3, Mehmet S. Inan1{, Hasan H. Otu1,3* 1 Biotechnology Research Center, Natural Resources and Environment Research Institute, King Abdulaziz City for Science and Technology, Riyadh, Saudi Arabia, 2 Faculty of Veterinary Medicine and Animal Resources, King Faisal University, Al-Hassa, Saudi Arabia, 3 Department of Medicine, BIDMC Genomics Center, Harvard Medical School, Boston, Massachusetts, United States of America Abstract Despite its economical, cultural, and biological importance, there has not been a large scale sequencing project to date for Camelus dromedarius. With the goal of sequencing complete DNA of the organism, we first established and sequenced camel EST libraries, generating 70,272 reads. Following trimming, chimera check, repeat masking, cluster and assembly, we obtained 23,602 putative gene sequences, out of which over 4,500 potentially novel or fast evolving gene sequences do not carry any homology to other available genomes. Functional annotation of sequences with similarities in nucleotide and protein databases has been obtained using Gene Ontology classification. Comparison to available full length cDNA sequences and Open Reading Frame (ORF) analysis of camel sequences that exhibit homology to known genes show more than 80% of the contigs with an ORF.300 bp and ,40% hits extending to the start codons of full length cDNAs suggesting successful characterization of camel genes. -
Nuclear Pore Heterogeneity Influences HIV-1 Infection and the Antiviral
RESEARCH ARTICLE Nuclear pore heterogeneity influences HIV-1 infection and the antiviral activity of MX2 Melissa Kane1, Stephanie V Rebensburg2, Matthew A Takata1, Trinity M Zang1,3, Masahiro Yamashita4, Mamuka Kvaratskhelia2, Paul D Bieniasz1,3* 1Laboratory of Retrovirology, The Rockefeller University, New York, United States; 2Division of Infectious Diseases, University of Colorado School of Medicine, Aurora, United States; 3Howard Hughes Medical Institute, New York, United States; 4Aaron Diamond AIDS Research Center, New York, United States Abstract HIV-1 accesses the nuclear DNA of interphase cells via a poorly defined process involving functional interactions between the capsid protein (CA) and nucleoporins (Nups). Here, we show that HIV-1 CA can bind multiple Nups, and that both natural and manipulated variation in Nup levels impacts HIV-1 infection in a manner that is strikingly dependent on cell-type, cell-cycle, and cyclophilin A (CypA). We also show that Nups mediate the function of the antiviral protein MX2, and that MX2 can variably inhibit non-viral NLS function. Remarkably, both enhancing and inhibiting effects of cyclophilin A and MX2 on various HIV-1 CA mutants could be induced or abolished by manipulating levels of the Nup93 subcomplex, the Nup62 subcomplex, NUP88, NUP214, RANBP2, or NUP153. Our findings suggest that several Nup-dependent ‘pathways’ are variably exploited by HIV-1 to target host DNA in a cell-type, cell-cycle, CypA and CA-sequence dependent manner, and are differentially inhibited by MX2. DOI: https://doi.org/10.7554/eLife.35738.001 *For correspondence: [email protected] Introduction Access to the chromosomal DNA contained within the nucleus of target cells is critical for retroviral Competing interests: The integration and replication. -
Data Set 1. Biological Analysis of the Genes Found to Be Significant in the Endotoxin Study
Data Set 1. Biological analysis of the genes found to be significant in the endotoxin study. Pages 2 – 105: Q values, gene names and annotation on the genes significant at FDR = 0.1%. Pages 106 – 127: Global functional analysis of the down-regulated genes. Pages 128 – 169: Global functional analysis of the up-regulated genes. Probe Set q-value Direction Gene Annotation 117_at 9.60E-05 up HSPA6 heat shock 70kDa protein 6 (HSP70B') 1405_i_at 2.00E-06 down CCL5 chemokine (C-C motif) ligand 5 PRP8 pre-mRNA processing factor 8 200000_s_at 2.50E-05 down PRPF8 homolog (yeast) PRP8 pre-mRNA processing factor 8 200000_s_at 0.000712 down PRPF8 homolog (yeast) 200001_at 0.000658 down CAPNS1 calpain, small subunit 1 200002_at 2.00E-06 down RPL35 ribosomal protein L35 200002_at 2.00E-06 down RPL35 ribosomal protein L35 200003_s_at 1.10E-05 down RPL28 ribosomal protein L28 200003_s_at 1.10E-05 down RPL28 ribosomal protein L28 eukaryotic translation initiation factor 3, 200005_at 2.00E-06 down EIF3S7 subunit 7 zeta, 66/67kDa eukaryotic translation initiation factor 3, 200005_at 2.00E-06 down EIF3S7 subunit 7 zeta, 66/67kDa Parkinson disease (autosomal 200006_at 4.70E-05 down PARK7 recessive, early onset) 7 Parkinson disease (autosomal 200006_at 8.70E-05 down PARK7 recessive, early onset) 7 200008_s_at 5.40E-05 up GDI2 GDP dissociation inhibitor 2 200008_s_at 0.000361 up GDI2 GDP dissociation inhibitor 2 200009_at 0.000171 down GDI2 GDP dissociation inhibitor 2 200010_at 2.00E-06 down RPL11 ribosomal protein L11 200010_at 2.00E-06 down RPL11 ribosomal -
Integrated Bayesian Analysis of Rare Exonic Variants to Identify Risk Genes for Schizophrenia and Neurodevelopmental Disorders Hoang T
Nguyen et al. Genome Medicine (2017) 9:114 DOI 10.1186/s13073-017-0497-y RESEARCH Open Access Integrated Bayesian analysis of rare exonic variants to identify risk genes for schizophrenia and neurodevelopmental disorders Hoang T. Nguyen1*, Julien Bryois2, April Kim3,4, Amanda Dobbyn1,5, Laura M. Huckins1, Ana B. Munoz-Manchado6, Douglas M. Ruderfer7, Giulio Genovese3,8, Menachem Fromer9, Xinyi Xu10, Dalila Pinto1,10,11,12, Sten Linnarsson6, Matthijs Verhage13, August B. Smit14,Jens Hjerling-Leffler6, Joseph D. Buxbaum10, Christina Hultman2, Pamela Sklar1ˆ, Shaun M. Purcell1,15, Kasper Lage3,4,XinHe16, Patrick F. Sullivan2,17 and Eli A. Stahl1,3* Abstract Background: Integrating rare variation from trio family and case–control studies has successfully implicated specific genes contributing to risk of neurodevelopmental disorders (NDDs) including autism spectrum disorders (ASD), intellectual disability (ID), developmental disorders (DDs), and epilepsy (EPI). For schizophrenia (SCZ), however, while sets of genes have been implicated through the study of rare variation, only two risk genes have been identified. Methods: We used hierarchical Bayesian modeling of rare-variant genetic architecture to estimate mean effect sizes and risk-gene proportions, analyzing the largest available collection of whole exome sequence data for SCZ (1,077 trios, 6,699 cases, and 13,028 controls), and data for four NDDs (ASD, ID, DD, and EPI; total 10,792 trios, and 4,058 cases and controls). Results: For SCZ, we estimate there are 1,551 risk genes. There are more risk genes and they have weaker effects than for NDDs. We provide power analyses to predict the number of risk-gene discoveries as more data become available.