Mono-Ubiquitination of Rabphilin 3A by UBE3A Serves a Non-Degradative Function Authors/Affiliations Rossella Avagliano Trezza1,2
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Pathway-Specific Dopaminergic Deficits in a Mouse Model of Angelman Syndrome
Pathway-specific dopaminergic deficits in a mouse model of Angelman syndrome Thorfinn T. Riday, … , Benjamin D. Philpot, C.J. Malanga J Clin Invest. 2012;122(12):4544-4554. https://doi.org/10.1172/JCI61888. Research Article Neuroscience Angelman syndrome (AS) is a neurodevelopmental disorder caused by maternal deletions or mutations of the ubiquitin ligase E3A (UBE3A) allele and characterized by minimal verbal communication, seizures, and disorders of voluntary movement. Previous studies have suggested that abnormal dopamine neurotransmission may underlie some of these deficits, but no effective treatment currently exists for the core features of AS. A clinical trial of levodopa (l-DOPA) in AS is ongoing, although the underlying rationale for this treatment strategy has not yet been thoroughly examined in preclinical models. We found that AS model mice lacking maternal Ube3a (Ube3am–/p+ mice) exhibit behavioral deficits that correlated with abnormal dopamine signaling. These deficits were not due to loss of dopaminergic neurons or impaired dopamine synthesis. Unexpectedly, Ube3am–/p+ mice exhibited increased dopamine release in the mesolimbic pathway while also exhibiting a decrease in dopamine release in the nigrostriatal pathway, as measured with fast-scan cyclic voltammetry. These findings demonstrate the complex effects of UBE3A loss on dopamine signaling in subcortical motor pathways that may inform ongoing clinical trials of l-DOPA therapy in patients with AS. Find the latest version: https://jci.me/61888/pdf Research article Pathway-specific dopaminergic deficits in a mouse model of Angelman syndrome Thorfinn T. Riday,1,2 Elyse C. Dankoski,1 Michael C. Krouse,3 Eric W. Fish,3 Paul L. -
Supplementary Information Method CLEAR-CLIP. Mouse Keratinocytes
Supplementary Information Method CLEAR-CLIP. Mouse keratinocytes of the designated genotype were maintained in E-low calcium medium. Inducible cells were treated with 3 ug/ml final concentration doxycycline for 24 hours before performing CLEAR-CLIP. One 15cm dish of confluent cells was used per sample. Cells were washed once with cold PBS. 10mls of cold PBS was then added and cells were irradiated with 300mJ/cm2 UVC (254nM wavelength). Cells were then scraped from the plates in cold PBS and pelleted by centrifugation at 1,000g for 2 minutes. Pellets were frozen at -80oC until needed. Cells were then lysed on ice with occasional vortexing in 1ml of lysis buffer (50mM Tris-HCl pH 7.4, 100mM NaCl, 1mM MgCl2, 0.1 mM CaCl2, 1% NP-40, 0.5% Sodium Deoxycholate, 0.1% SDS) containing 1X protease inhibitors (Roche #88665) and RNaseOUT (Invitrogen #10777019) at 4ul/ml final concentration. Next, TurboDNase (Invitrogen #AM2238, 10U), RNase A (0.13ug) and RNase T1 (0.13U) were added and samples were incubated at 37oC for 5 minutes with occasional mixing. Samples were immediately placed on ice and then centrifuged at 16,160g at 4oC for 20 minutes to clear lysate. 25ul of Protein-G Dynabeads (Invitrogen #10004D) were used per IP. Dynabeads were pre-washed with lysis buffer and pre- incubated with 3ul of Wako Anti-Mouse-Ago2 (2D4) antibody. The dynabead/antibody mixture was added to the lysate and rocked for 2 hours at 4oC. All steps after the IP were done on bead until samples were loaded into the polyacrylamide gel. -
Transcriptomic Profile Induced in Bone Marrow Mesenchymal Stromal Cells After Interaction with Multiple Myeloma Cells
www.impactjournals.com/oncotarget/ Oncotarget, Vol. 5, No. 18 Transcriptomic profile induced in bone marrow mesenchymal stromal cells after interaction with multiple myeloma cells: implications in myeloma progression and myeloma bone disease Antonio Garcia-Gomez1,2,3, Javier De Las Rivas1, Enrique M. Ocio1,2, Elena Díaz- Rodríguez1, Juan C. Montero1, Montserrat Martín1,3, Juan F. Blanco2, Fermín M. Sanchez-Guijo2,3, Atanasio Pandiella1,2, Jesús F. San Miguel1,2,3 and Mercedes Garayoa1,2,3 1 Centro de Investigación del Cáncer, IBMCC (Universidad de Salamanca-CSIC), Salamanca, Spain 2 Hospital Universitario de Salamanca-IBSAL, Salamanca, Spain 3 Centro en Red de Medicina Regenerativa y Terapia Celular de Castilla y León, Salamanca, Spain Correspondence to: Mercedes Garayoa, email: [email protected] Keywords: multiple myeloma, bone marrow mesenchymal stromal cells, tumor-stroma interactions, gene expression profiling, co- culture techniques, myeloma bone disease Received: January 6, 2014 Accepted: June 2, 2014 Published: June 4, 2014 This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. ABSTRACT Despite evidence about the implication of the bone marrow (BM) stromal microenvironment in multiple myeloma (MM) cell growth and survival, little is known about the effects of myelomatous cells on BM stromal cells. Mesenchymal stromal cells (MSCs) from healthy donors (dMSCs) or myeloma patients (pMSCs) were co- cultured with the myeloma cell line MM.1S, and the transcriptomic profile of MSCs induced by this interaction was analyzed. Deregulated genes after co-culture common to both d/pMSCs revealed functional involvement in tumor microenvironment cross- talk, myeloma growth induction and drug resistance, angiogenesis and signals for osteoclast activation and osteoblast inhibition. -
Oas1b-Dependent Immune Transcriptional Profiles of West Nile
MULTIPARENTAL POPULATIONS Oas1b-dependent Immune Transcriptional Profiles of West Nile Virus Infection in the Collaborative Cross Richard Green,*,† Courtney Wilkins,*,† Sunil Thomas,*,† Aimee Sekine,*,† Duncan M. Hendrick,*,† Kathleen Voss,*,† Renee C. Ireton,*,† Michael Mooney,‡,§ Jennifer T. Go,*,† Gabrielle Choonoo,‡,§ Sophia Jeng,** Fernando Pardo-Manuel de Villena,††,‡‡ Martin T. Ferris,†† Shannon McWeeney,‡,§,** and Michael Gale Jr.*,†,1 *Department of Immunology and †Center for Innate Immunity and Immune Disease (CIIID), University of Washington, § Seattle, Washington 98109, ‡OHSU Knight Cancer Institute, Division of Bioinformatics and Computational Biology, Department of Medical Informatics and Clinical Epidemiology, and **Oregon Clinical and Translational Research Institute, Oregon Health & Science University, Portland, Oregon 97239, ††Department of Genetics and ‡‡Lineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, North Carolina 27514 ABSTRACT The oligoadenylate-synthetase (Oas) gene locus provides innate immune resistance to virus KEYWORDS infection. In mouse models, variation in the Oas1b gene influences host susceptibility to flavivirus infection. Oas However, the impact of Oas variation on overall innate immune programming and global gene expression flavivirus among tissues and in different genetic backgrounds has not been defined. We examined how Oas1b acts viral infection in spleen and brain tissue to limit West Nile virus (WNV) susceptibility and disease across a range of innate immunity genetic backgrounds. The laboratory founder strains of the mouse Collaborative Cross (CC) (A/J, C57BL/6J, multiparental 129S1/SvImJ, NOD/ShiLtJ, and NZO/HlLtJ) all encode a truncated, defective Oas1b, whereas the three populations wild-derived inbred founder strains (CAST/EiJ, PWK/PhJ, and WSB/EiJ) encode a full-length OAS1B pro- Multi-parent tein. -
The Autism Protein Ube3a/E6AP Remodels Neuronal Dendritic Arborization Via Caspase-Dependent Microtubule Destabilization
The Journal of Neuroscience, January 10, 2018 • 38(2):363–378 • 363 Neurobiology of Disease The Autism Protein Ube3A/E6AP Remodels Neuronal Dendritic Arborization via Caspase-Dependent Microtubule Destabilization Natasha Khatri,1,2 James P. Gilbert,1 Yuda Huo,1 Roozhin Sharaflari,1 Michael Nee,1 Hui Qiao,1 and XHeng-Ye Man1,2 1Department of Biology, Boston University, Boston, Massachusetts 02215, and 2Department of Pharmacology & Experimental Therapeutics, Boston University School of Medicine, Boston, Massachusetts 02118 UBE3A gene copy number variation and the resulting overexpression of the protein E6AP is directly linked to autism spectrum disorders (ASDs).However,theunderlyingcellularandmolecularneurobiologyremainslessclear.HerewereporttheroleofASD-relatedincreased dosage of Ube3A/E6AP in dendritic arborization during brain development. We show that increased E6AP expression in primary cul- tured neurons leads to a reduction in dendritic branch number and length. The E6AP-dependent remodeling of dendritic arborization results from retraction of dendrites by thinning and fragmentation at the tips of dendrite branches, leading to shortening or removal of dendrites. This remodeling effect is mediated by the ubiquitination and degradation of XIAP (X-linked inhibitors of aptosis protein) by E6AP, which leads to activation of caspase-3 and cleavage of microtubules. In vivo, male and female Ube3A 2X ASD mice show decreased XIAP levels, increased caspase-3 activation, and elevated levels of tubulin cleavage. Consistently, dendritic branching and spine density are reduced in cortical neurons of Ube3A 2X ASD mice. In revealing an important role for Ube3A/E6AP in ASD-related developmental alteration in dendritic arborization and synapse formation, our findings provide new insights into the pathogenesis of Ube3A/E6AP- dependent ASD. -
Supplementary Table S4. FGA Co-Expressed Gene List in LUAD
Supplementary Table S4. FGA co-expressed gene list in LUAD tumors Symbol R Locus Description FGG 0.919 4q28 fibrinogen gamma chain FGL1 0.635 8p22 fibrinogen-like 1 SLC7A2 0.536 8p22 solute carrier family 7 (cationic amino acid transporter, y+ system), member 2 DUSP4 0.521 8p12-p11 dual specificity phosphatase 4 HAL 0.51 12q22-q24.1histidine ammonia-lyase PDE4D 0.499 5q12 phosphodiesterase 4D, cAMP-specific FURIN 0.497 15q26.1 furin (paired basic amino acid cleaving enzyme) CPS1 0.49 2q35 carbamoyl-phosphate synthase 1, mitochondrial TESC 0.478 12q24.22 tescalcin INHA 0.465 2q35 inhibin, alpha S100P 0.461 4p16 S100 calcium binding protein P VPS37A 0.447 8p22 vacuolar protein sorting 37 homolog A (S. cerevisiae) SLC16A14 0.447 2q36.3 solute carrier family 16, member 14 PPARGC1A 0.443 4p15.1 peroxisome proliferator-activated receptor gamma, coactivator 1 alpha SIK1 0.435 21q22.3 salt-inducible kinase 1 IRS2 0.434 13q34 insulin receptor substrate 2 RND1 0.433 12q12 Rho family GTPase 1 HGD 0.433 3q13.33 homogentisate 1,2-dioxygenase PTP4A1 0.432 6q12 protein tyrosine phosphatase type IVA, member 1 C8orf4 0.428 8p11.2 chromosome 8 open reading frame 4 DDC 0.427 7p12.2 dopa decarboxylase (aromatic L-amino acid decarboxylase) TACC2 0.427 10q26 transforming, acidic coiled-coil containing protein 2 MUC13 0.422 3q21.2 mucin 13, cell surface associated C5 0.412 9q33-q34 complement component 5 NR4A2 0.412 2q22-q23 nuclear receptor subfamily 4, group A, member 2 EYS 0.411 6q12 eyes shut homolog (Drosophila) GPX2 0.406 14q24.1 glutathione peroxidase -
Supplementary Table 9. Functional Annotation Clustering Results for the Union (GS3) of the Top Genes from the SNP-Level and Gene-Based Analyses (See ST4)
Supplementary Table 9. Functional Annotation Clustering Results for the union (GS3) of the top genes from the SNP-level and Gene-based analyses (see ST4) Column Header Key Annotation Cluster Name of cluster, sorted by descending Enrichment score Enrichment Score EASE enrichment score for functional annotation cluster Category Pathway Database Term Pathway name/Identifier Count Number of genes in the submitted list in the specified term % Percentage of identified genes in the submitted list associated with the specified term PValue Significance level associated with the EASE enrichment score for the term Genes List of genes present in the term List Total Number of genes from the submitted list present in the category Pop Hits Number of genes involved in the specified term (category-specific) Pop Total Number of genes in the human genome background (category-specific) Fold Enrichment Ratio of the proportion of count to list total and population hits to population total Bonferroni Bonferroni adjustment of p-value Benjamini Benjamini adjustment of p-value FDR False Discovery Rate of p-value (percent form) Annotation Cluster 1 Enrichment Score: 3.8978262119731335 Category Term Count % PValue Genes List Total Pop Hits Pop Total Fold Enrichment Bonferroni Benjamini FDR GOTERM_CC_DIRECT GO:0005886~plasma membrane 383 24.33290978 5.74E-05 SLC9A9, XRCC5, HRAS, CHMP3, ATP1B2, EFNA1, OSMR, SLC9A3, EFNA3, UTRN, SYT6, ZNRF2, APP, AT1425 4121 18224 1.18857065 0.038655922 0.038655922 0.086284383 UP_KEYWORDS Membrane 626 39.77128335 1.53E-04 SLC9A9, HRAS, -
Exploring the Relationship Between Gut Microbiota and Major Depressive Disorders
E3S Web of Conferences 271, 03055 (2021) https://doi.org/10.1051/e3sconf/202127103055 ICEPE 2021 Exploring the Relationship between Gut Microbiota and Major Depressive Disorders Catherine Tian1 1Shanghai American School, Shanghai, China Abstract. Major Depressive Disorder (MDD) is a psychiatric disorder accompanied with a high rate of suicide, morbidity and mortality. With the symptom of an increasing or decreasing appetite, there is a possibility that MDD may have certain connections with gut microbiota, the colonies of microbes which reside in the human digestive system. In recent years, more and more studies started to demonstrate the links between MDD and gut microbiota from animal disease models and human metabolism studies. However, this relationship is still largely understudied, but it is very innovative since functional dissection of this relationship would furnish a new train of thought for more effective treatment of MDD. In this study, by using multiple genetic analytic tools including Allen Brain Atlas, genetic function analytical tools, and MicrobiomeAnalyst, I explored the genes that shows both expression in the brain and the digestive system to affirm that there is a connection between gut microbiota and the MDD. My approach finally identified 7 MDD genes likely to be associated with gut microbiota, implicating 3 molecular pathways: (1) Wnt Signaling, (2) citric acid cycle in the aerobic respiration, and (3) extracellular exosome signaling. These findings may shed light on new directions to understand the mechanism of MDD, potentially facilitating the development of probiotics for better psychiatric disorder treatment. 1 Introduction 1.1 Major Depressive Disorder Major Depressive Disorder (MDD) is a mood disorder that will affect the mood, behavior and other physical parts. -
Targeting the Ubiquitin System in Glioblastoma', Frontiers in Oncology
Citation for published version: Licchesi, J 2020, 'Targeting the Ubiquitin System in Glioblastoma', Frontiers in Oncology. https://doi.org/10.3389/fonc.2020.574011 DOI: 10.3389/fonc.2020.574011 Publication date: 2020 Document Version Publisher's PDF, also known as Version of record Link to publication University of Bath Alternative formats If you require this document in an alternative format, please contact: [email protected] General rights Copyright and moral rights for the publications made accessible in the public portal are retained by the authors and/or other copyright owners and it is a condition of accessing publications that users recognise and abide by the legal requirements associated with these rights. Take down policy If you believe that this document breaches copyright please contact us providing details, and we will remove access to the work immediately and investigate your claim. Download date: 24. Sep. 2021 REVIEW published: 25 November 2020 doi: 10.3389/fonc.2020.574011 Targeting the Ubiquitin System in Glioblastoma Nico Scholz 1, Kathreena M. Kurian 2, Florian A. Siebzehnrubl 3 and Julien D. F. Licchesi 1* 1 Department of Biology & Biochemistry, University of Bath, Bath, United Kingdom, 2 Brain Tumour Research Group, Institute of Clinical Neurosciences, University of Bristol, Bristol, United Kingdom, 3 Cardiff University School of Biosciences, European Cancer Stem Cell Research Institute, Cardiff, United Kingdom Glioblastoma is the most common primary brain tumor in adults with poor overall outcome and 5-year survival of less than 5%. Treatment has not changed much in the last decade or so, with surgical resection and radio/chemotherapy being the main options. -
Viewed and Published Immediately Upon Acceptance Cited in Pubmed and Archived on Pubmed Central Yours — You Keep the Copyright
BMC Genomics BioMed Central Research article Open Access Differential gene expression in ADAM10 and mutant ADAM10 transgenic mice Claudia Prinzen1, Dietrich Trümbach2, Wolfgang Wurst2, Kristina Endres1, Rolf Postina1 and Falk Fahrenholz*1 Address: 1Johannes Gutenberg-University, Institute of Biochemistry, Mainz, Johann-Joachim-Becherweg 30, 55128 Mainz, Germany and 2Helmholtz Zentrum München – German Research Center for Environmental Health, Institute for Developmental Genetics, Ingolstädter Landstraße 1, 85764 Neuherberg, Germany Email: Claudia Prinzen - [email protected]; Dietrich Trümbach - [email protected]; Wolfgang Wurst - [email protected]; Kristina Endres - [email protected]; Rolf Postina - [email protected]; Falk Fahrenholz* - [email protected] * Corresponding author Published: 5 February 2009 Received: 19 June 2008 Accepted: 5 February 2009 BMC Genomics 2009, 10:66 doi:10.1186/1471-2164-10-66 This article is available from: http://www.biomedcentral.com/1471-2164/10/66 © 2009 Prinzen et al; licensee BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Abstract Background: In a transgenic mouse model of Alzheimer disease (AD), cleavage of the amyloid precursor protein (APP) by the α-secretase ADAM10 prevented amyloid plaque formation, and alleviated cognitive deficits. Furthermore, ADAM10 overexpression increased the cortical synaptogenesis. These results suggest that upregulation of ADAM10 in the brain has beneficial effects on AD pathology. Results: To assess the influence of ADAM10 on the gene expression profile in the brain, we performed a microarray analysis using RNA isolated from brains of five months old mice overexpressing either the α-secretase ADAM10, or a dominant-negative mutant (dn) of this enzyme. -
Progression of Pathology in PINK1-Deficient Mouse Brain From
Torres-Odio et al. Journal of Neuroinflammation (2017) 14:154 DOI 10.1186/s12974-017-0928-0 RESEARCH Open Access Progression of pathology in PINK1-deficient mouse brain from splicing via ubiquitination, ER stress, and mitophagy changes to neuroinflammation Sylvia Torres-Odio1†, Jana Key1†, Hans-Hermann Hoepken1, Júlia Canet-Pons1, Lucie Valek2, Bastian Roller3, Michael Walter4, Blas Morales-Gordo5, David Meierhofer6, Patrick N. Harter3, Michel Mittelbronn3,7,8,9,10, Irmgard Tegeder2, Suzana Gispert1 and Georg Auburger1* Abstract Background: PINK1 deficiency causes the autosomal recessive PARK6 variant of Parkinson’s disease. PINK1 activates ubiquitin by phosphorylation and cooperates with the downstream ubiquitin ligase PARKIN, to exert quality control and control autophagic degradation of mitochondria and of misfolded proteins in all cell types. Methods: Global transcriptome profiling of mouse brain and neuron cultures were assessed in protein-protein interaction diagrams and by pathway enrichment algorithms. Validation by quantitative reverse transcriptase polymerase chain reaction and immunoblots was performed, including human neuroblastoma cells and patient primary skin fibroblasts. Results: In a first approach, we documented Pink1-deleted mice across the lifespan regarding brain mRNAs. The expression changes were always subtle, consistently affecting “intracellular membrane-bounded organelles”.Significant anomalies involved about 250 factors at age 6 weeks, 1300 at 6 months, and more than 3500 at age 18 months in the cerebellar tissue, including Srsf10, Ube3a, Mapk8, Creb3,andNfkbia. Initially, mildly significant pathway enrichment for the spliceosome was apparent. Later, highly significant networks of ubiquitin-mediated proteolysis and endoplasmic reticulum protein processing occurred. Finally, an enrichment of neuroinflammation factors appeared, together with profiles of bacterial invasion and MAPK signaling changes—while mitophagy had minor significance. -
Supplementary Material Table of Contents
Supplementary M aterial Table of Contents 1 - Online S u pplementary Methods ………………………………………………...… . …2 1.1 Study population……………………………………………………………..2 1.2 Quality control and principal component analysis …………………………..2 1.3 Statistical analyses………………………………………… ………………...3 1.3.1 Disease - specific association testing ……………………………… ..3 1.3.2 Cross - phenotype meta - analysis …………………………………… .3 1.3.3 Model search ……………………………………………………… .4 1.3.4 Novelty of the variants …………………………………………… ..4 1.3.5 Functional Enrichment Analy sis ………………………………… ...4 1.3.6 Drug Target Enrichment Analysis ………………………………… 5 2 - Supplementary Figures………………………………………...………………… . …. 7 3 - Members of the Myositis Genetics Consortium (MYOGEN) ……………………. ..16 4 - Members of the Scleroderma Genetics Consortium ………………… ……………...17 5 - Supplementary References………………………………………………………… . .18 6 - Supplementary Tables………………………………………………………… . ……22 1 Online supplementary m ethods Study population This study was conducted using 12,132 affected subjects and 23 ,260 controls of European des cent population and all of them have been included in previously published GWAS as summarized in Table S1. [1 - 6] Briefly, a total of 3,255 SLE cases and 9,562 ancestry matched controls were included from six countrie s across Europe and North America (Spain, Germany, Netherlands, Italy, UK, and USA). All of the included patients were diagnosed based on the standard American College of Rheumatology (ACR) classification criteria. [7] Previously described GWAS data from 2,363 SSc cases and 5,181 ancestry