Characterization of PARP6 Function in Knockout Mice and Patients with Developmental Delay
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Haploid Genetic Screens Identify an Essential Role for PLP2 in the Downregulation of Novel Plasma Membrane Targets by Viral E3 Ubiquitin Ligases
Haploid Genetic Screens Identify an Essential Role for PLP2 in the Downregulation of Novel Plasma Membrane Targets by Viral E3 Ubiquitin Ligases Richard T. Timms1, Lidia M. Duncan1, Iva A. Tchasovnikarova1, Robin Antrobus1, Duncan L. Smith2, Gordon Dougan3, Michael P. Weekes1, Paul J. Lehner1* 1 Cambridge Institute for Medical Research, Addenbrooke’s Hospital, Cambridge, United Kingdom, 2 Paterson Institute for Cancer Research, University of Manchester, Withington, Manchester, United Kingdom, 3 Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Cambridge, United Kingdom Abstract The Kaposi’s sarcoma-associated herpesvirus gene products K3 and K5 are viral ubiquitin E3 ligases which downregulate MHC-I and additional cell surface immunoreceptors. To identify novel cellular genes required for K5 function we performed a forward genetic screen in near-haploid human KBM7 cells. The screen identified proteolipid protein 2 (PLP2), a MARVEL domain protein of unknown function, as essential for K5 activity. Genetic loss of PLP2 traps the viral ligase in the endoplasmic reticulum, where it is unable to ubiquitinate and degrade its substrates. Subsequent analysis of the plasma membrane proteome of K5-expressing KBM7 cells in the presence and absence of PLP2 revealed a wide range of novel K5 targets, all of which required PLP2 for their K5-mediated downregulation. This work ascribes a critical function to PLP2 for viral ligase activity and underlines the power of non-lethal haploid genetic screens in human cells to identify the genes involved in pathogen manipulation of the host immune system. Citation: Timms RT, Duncan LM, Tchasovnikarova IA, Antrobus R, Smith DL, et al. (2013) Haploid Genetic Screens Identify an Essential Role for PLP2 in the Downregulation of Novel Plasma Membrane Targets by Viral E3 Ubiquitin Ligases. -
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. -
PLP2 (NM 002668) Human Tagged ORF Clone Product Data
OriGene Technologies, Inc. 9620 Medical Center Drive, Ste 200 Rockville, MD 20850, US Phone: +1-888-267-4436 [email protected] EU: [email protected] CN: [email protected] Product datasheet for RG222024 PLP2 (NM_002668) Human Tagged ORF Clone Product data: Product Type: Expression Plasmids Product Name: PLP2 (NM_002668) Human Tagged ORF Clone Tag: TurboGFP Symbol: PLP2 Synonyms: A4; A4LSB Vector: pCMV6-AC-GFP (PS100010) E. coli Selection: Ampicillin (100 ug/mL) Cell Selection: Neomycin ORF Nucleotide >RG222024 representing NM_002668 Sequence: Red=Cloning site Blue=ORF Green=Tags(s) TTTTGTAATACGACTCACTATAGGGCGGCCGGGAATTCGTCGACTGGATCCGGTACCGAGGAGATCTGCC GCCGCGATCGCC ATGGCGGATTCTGAGCGCCTCTCGGCTCCTGGCTGCTGGGCCGCCTGCACCAACTTCTCGCGCACTCGAA AGGGAATCCTCCTGTTTGCTGAGATTATATTATGCCTGGTGATCCTGATCTGCTTCAGTGCCTCCACACC AGGCTACTCCTCCCTGTCGGTGATTGAGATGATCCTTGCTGCTATTTTCTTTGTTGTCTACATGTGTGAC CTGCACACCAAGATACCATTCATCAACTGGCCCTGGAGTGATTTCTTCCGAACCCTCATAGCGGCAATCC TCTACCTGATCACCTCCATTGTTGTCCTTGTTGAGAGAGGAAACCACTCCAAAATCGTCGCAGGGGTACT GGGCCTAATCGCTACGTGCCTCTTTGGCTATGATGCCTATGTCACCTTCCCCGTTCGGCAGCCAAGACAT ACAGCAGCCCCCACTGACCCCGCAGATGGCCCGGTG ACGCGTACGCGGCCGCTCGAG - GFP Tag - GTTTAA Protein Sequence: >RG222024 representing NM_002668 Red=Cloning site Green=Tags(s) MADSERLSAPGCWAACTNFSRTRKGILLFAEIILCLVILICFSASTPGYSSLSVIEMILAAIFFVVYMCD LHTKIPFINWPWSDFFRTLIAAILYLITSIVVLVERGNHSKIVAGVLGLIATCLFGYDAYVTFPVRQPRH TAAPTDPADGPV TRTRPLE - GFP Tag - V Restriction Sites: SgfI-MluI This product is to be used for laboratory only. Not for diagnostic or therapeutic use. -
Circular RNA Hsa Circ 0005114‑Mir‑142‑3P/Mir‑590‑5P‑ Adenomatous
ONCOLOGY LETTERS 21: 58, 2021 Circular RNA hsa_circ_0005114‑miR‑142‑3p/miR‑590‑5p‑ adenomatous polyposis coli protein axis as a potential target for treatment of glioma BO WEI1*, LE WANG2* and JINGWEI ZHAO1 1Department of Neurosurgery, China‑Japan Union Hospital of Jilin University, Changchun, Jilin 130033; 2Department of Ophthalmology, The First Hospital of Jilin University, Jilin University, Changchun, Jilin 130021, P.R. China Received September 12, 2019; Accepted October 22, 2020 DOI: 10.3892/ol.2020.12320 Abstract. Glioma is the most common type of brain tumor APC expression with a good overall survival rate. UALCAN and is associated with a high mortality rate. Despite recent analysis using TCGA data of glioblastoma multiforme and the advances in treatment options, the overall prognosis in patients GSE25632 and GSE103229 microarray datasets showed that with glioma remains poor. Studies have suggested that circular hsa‑miR‑142‑3p/hsa‑miR‑590‑5p was upregulated and APC (circ)RNAs serve important roles in the development and was downregulated. Thus, hsa‑miR‑142‑3p/hsa‑miR‑590‑5p‑ progression of glioma and may have potential as therapeutic APC‑related circ/ceRNA axes may be important in glioma, targets. However, the expression profiles of circRNAs and their and hsa_circ_0005114 interacted with both of these miRNAs. functions in glioma have rarely been studied. The present study Functional analysis showed that hsa_circ_0005114 was aimed to screen differentially expressed circRNAs (DECs) involved in insulin secretion, while APC was associated with between glioma and normal brain tissues using sequencing the Wnt signaling pathway. In conclusion, hsa_circ_0005114‑ data collected from the Gene Expression Omnibus database miR‑142‑3p/miR‑590‑5p‑APC ceRNA axes may be potential (GSE86202 and GSE92322 datasets) and explain their mecha‑ targets for the treatment of glioma. -
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Patterns of DNA methylation on the human X chromosome and use in analyzing X-chromosome inactivation by Allison Marie Cotton B.Sc., The University of Guelph, 2005 A THESIS SUBMITTED IN PARTIAL FULFILLMENT OF THE REQUIREMENTS FOR THE DEGREE OF DOCTOR OF PHILOSOPHY in The Faculty of Graduate Studies (Medical Genetics) THE UNIVERSITY OF BRITISH COLUMBIA (Vancouver) January 2012 © Allison Marie Cotton, 2012 Abstract The process of X-chromosome inactivation achieves dosage compensation between mammalian males and females. In females one X chromosome is transcriptionally silenced through a variety of epigenetic modifications including DNA methylation. Most X-linked genes are subject to X-chromosome inactivation and only expressed from the active X chromosome. On the inactive X chromosome, the CpG island promoters of genes subject to X-chromosome inactivation are methylated in their promoter regions, while genes which escape from X- chromosome inactivation have unmethylated CpG island promoters on both the active and inactive X chromosomes. The first objective of this thesis was to determine if the DNA methylation of CpG island promoters could be used to accurately predict X chromosome inactivation status. The second objective was to use DNA methylation to predict X-chromosome inactivation status in a variety of tissues. A comparison of blood, muscle, kidney and neural tissues revealed tissue-specific X-chromosome inactivation, in which 12% of genes escaped from X-chromosome inactivation in some, but not all, tissues. X-linked DNA methylation analysis of placental tissues predicted four times higher escape from X-chromosome inactivation than in any other tissue. Despite the hypomethylation of repetitive elements on both the X chromosome and the autosomes, no changes were detected in the frequency or intensity of placental Cot-1 holes. -
Genetic and Genomic Analysis of Hyperlipidemia, Obesity and Diabetes Using (C57BL/6J × TALLYHO/Jngj) F2 Mice
University of Tennessee, Knoxville TRACE: Tennessee Research and Creative Exchange Nutrition Publications and Other Works Nutrition 12-19-2010 Genetic and genomic analysis of hyperlipidemia, obesity and diabetes using (C57BL/6J × TALLYHO/JngJ) F2 mice Taryn P. Stewart Marshall University Hyoung Y. Kim University of Tennessee - Knoxville, [email protected] Arnold M. Saxton University of Tennessee - Knoxville, [email protected] Jung H. Kim Marshall University Follow this and additional works at: https://trace.tennessee.edu/utk_nutrpubs Part of the Animal Sciences Commons, and the Nutrition Commons Recommended Citation BMC Genomics 2010, 11:713 doi:10.1186/1471-2164-11-713 This Article is brought to you for free and open access by the Nutrition at TRACE: Tennessee Research and Creative Exchange. It has been accepted for inclusion in Nutrition Publications and Other Works by an authorized administrator of TRACE: Tennessee Research and Creative Exchange. For more information, please contact [email protected]. Stewart et al. BMC Genomics 2010, 11:713 http://www.biomedcentral.com/1471-2164/11/713 RESEARCH ARTICLE Open Access Genetic and genomic analysis of hyperlipidemia, obesity and diabetes using (C57BL/6J × TALLYHO/JngJ) F2 mice Taryn P Stewart1, Hyoung Yon Kim2, Arnold M Saxton3, Jung Han Kim1* Abstract Background: Type 2 diabetes (T2D) is the most common form of diabetes in humans and is closely associated with dyslipidemia and obesity that magnifies the mortality and morbidity related to T2D. The genetic contribution to human T2D and related metabolic disorders is evident, and mostly follows polygenic inheritance. The TALLYHO/ JngJ (TH) mice are a polygenic model for T2D characterized by obesity, hyperinsulinemia, impaired glucose uptake and tolerance, hyperlipidemia, and hyperglycemia. -
Staufen 1 Does Not Play a Role in NPC Asymmetric Divisions but Regulates Cellular Positioning During Corticogenesis
Staufen 1 does not play a role in NPC asymmetric divisions but regulates cellular positioning during corticogenesis by Christopher Kuc A Thesis presented to The University of Guelph In partial fulfilment of requirements for the degree of Master of Science in Molecular and Cellular Biology Guelph, Ontario, Canada © Christopher Kuc, September 2018 ABSTRACT INVESTIGATING THE ROLE OF STAUFEN1 IN ASYMMETRIC NEURAL PRECURSOR CELL DIVISIONS IN THE DEVELOPING CEREBRAL CORTEX Christopher Kuc Advisors: Dr. John Vessey University of Guelph, 2018 Cerebral cortex development relies on asymmetric divisions of neural precursor cells (NPCs) to produce a recurring NPC and a differentiated neuron. Asymmetric divisions are promoted by the differential localization of cell fate determinants between daughter cells. Staufen 1 (Stau1) is an RNA-binding protein known to localize mRNA in mature hippocampal neurons. However, its expression pattern and role in the developing mammalian cortex remains unknown. In this study, Stau1 mRNA and protein were found to be expressed in all cells examined and was temporally and spatially characterized across development. Upon shRNA-mediated knockdown of Stau1 in primary cortical cultures, NPCs retained the ability to self-renew and generate neurons despite the loss of Stau1 expression. This said, in vivo knockdown of Stau1 demonstrated that it may play a role in anchoring NPCs to the ventricular zone during cortical development. ACKNOWLEDGMENTS I would first like to thank my advisor Dr. John Vessey. Throughout these 2 years, you have provided me with an invaluable opportunity and played an instrumental role in shaping me as a scientist. The guidance, support and expertise you have provided me will be always appreciated and never forgotten. -
Gwas Meta-Analysis of Intelligence – Supplementary Note 1
GWAS META-ANALYSIS OF INTELLIGENCE – SUPPLEMENTARY NOTE 1 Supplementary Note for GWAS meta-analysis (N=279,930) identifies new genes and functional links to intelligence Jeanne E Savage1#, Philip R Jansen1,2#, Sven Stringer1, Kyoko Watanabe1, Julien Bryois3, Christiaan A de Leeuw1, Mats Nagel1, Swapnil Awasthi4, Peter B Barr5, Jonathan R I Coleman6,7, Katrina L Grasby8, Anke R Hammerschlag1, Jakob Kaminski4,9, Robert Karlsson3, Eva Krapohl6, Max Lam10, Marianne Nygaard11,12, Chandra A. Reynolds13, Joey W. Trampush14, Hannah Young15, Delilah Zabaneh6, Sara Hägg3, Narelle K Hansell16, Ida K Karlsson3, Sten Linnarsson17, Grant W Montgomery8,18, Ana B. Muñoz-Manchado17, Erin B Quinlan6, Gunter Schumann6, Nathan Skene17, Bradley T Webb19,20,21, Tonya White2, Dan E Arking22, Deborah K Attix23,24, Dimitrios Avramopoulos22,25, Robert M Bilder26, Panos Bitsios27, Katherine E Burdick28,29,30, Tyrone D Cannon31, Ornit Chiba-Falek32, Andrea Christoforou23, Elizabeth T Cirulli33, Eliza Congdon26, Aiden Corvin34, Gail Davies35, 36, Ian J Deary35,36, Pamela DeRosse37, Dwight Dickinson38, Srdjan Djurovic39,40, Gary Donohoe41, Emily Drabant Conley42, Johan G Eriksson43,44, Thomas Espeseth45,46, Nelson A Freimer26,Stella Giakoumaki47, Ina Giegling48, Michael Gill34, David C Glahn49, Ahmad R Hariri50, Alex Hatzimanolis51,52,53, Matthew C Keller54, Emma Knowles49, Bettina Konte48, Jari Lahti55,56, Stephanie Le Hellard23,40, Todd Lencz37,57,58, David C Liewald36, Edythe London26, Astri J Lundervold59, Anil K Malhotra37,57,58, Ingrid Melle40,46, , Derek Morris41, -
Whole Exome Sequencing in Families at High Risk for Hodgkin Lymphoma: Identification of a Predisposing Mutation in the KDR Gene
Hodgkin Lymphoma SUPPLEMENTARY APPENDIX Whole exome sequencing in families at high risk for Hodgkin lymphoma: identification of a predisposing mutation in the KDR gene Melissa Rotunno, 1 Mary L. McMaster, 1 Joseph Boland, 2 Sara Bass, 2 Xijun Zhang, 2 Laurie Burdett, 2 Belynda Hicks, 2 Sarangan Ravichandran, 3 Brian T. Luke, 3 Meredith Yeager, 2 Laura Fontaine, 4 Paula L. Hyland, 1 Alisa M. Goldstein, 1 NCI DCEG Cancer Sequencing Working Group, NCI DCEG Cancer Genomics Research Laboratory, Stephen J. Chanock, 5 Neil E. Caporaso, 1 Margaret A. Tucker, 6 and Lynn R. Goldin 1 1Genetic Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD; 2Cancer Genomics Research Laboratory, Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD; 3Ad - vanced Biomedical Computing Center, Leidos Biomedical Research Inc.; Frederick National Laboratory for Cancer Research, Frederick, MD; 4Westat, Inc., Rockville MD; 5Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD; and 6Human Genetics Program, Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD, USA ©2016 Ferrata Storti Foundation. This is an open-access paper. doi:10.3324/haematol.2015.135475 Received: August 19, 2015. Accepted: January 7, 2016. Pre-published: June 13, 2016. Correspondence: [email protected] Supplemental Author Information: NCI DCEG Cancer Sequencing Working Group: Mark H. Greene, Allan Hildesheim, Nan Hu, Maria Theresa Landi, Jennifer Loud, Phuong Mai, Lisa Mirabello, Lindsay Morton, Dilys Parry, Anand Pathak, Douglas R. Stewart, Philip R. Taylor, Geoffrey S. Tobias, Xiaohong R. Yang, Guoqin Yu NCI DCEG Cancer Genomics Research Laboratory: Salma Chowdhury, Michael Cullen, Casey Dagnall, Herbert Higson, Amy A. -
A Meta-Analysis of Gene Expression Data Highlights Synaptic Dysfunction
www.nature.com/scientificreports OPEN A meta-analysis of gene expression data highlights synaptic dysfunction in the hippocampus of brains with Alzheimer’s disease Saeedeh Hosseinian1, Ehsan Arefan2,3 ✉ , Hassan Rakhsh-Khorshid4, Mehdi Eivani 5, Ameneh Rezayof6, Hamid Pezeshk 7,8 & Sayed-Amir Marashi 1 Since the world population is ageing, dementia is going to be a growing concern. Alzheimer’s disease is the most common form of dementia. The pathogenesis of Alzheimer’s disease is extensively studied, yet unknown remains. Therefore, we aimed to extract new knowledge from existing data. We analysed about 2700 upregulated genes and 2200 downregulated genes from three studies on the CA1 of the hippocampus of brains with Alzheimer’s disease. We found that only the calcium signalling pathway enriched by 48 downregulated genes was consistent between all three studies. We predicted miR-129 to target nine out of 48 genes. Then, we validated miR-129 to regulate six out of nine genes in HEK cells. We noticed that four out of six genes play a role in synaptic plasticity. Finally, we confrmed the upregulation of miR-129 in the hippocampus of brains of rats with scopolamine-induced amnesia as a model of Alzheimer’s disease. We suggest that future research should investigate the possible role of miR-129 in synaptic plasticity and Alzheimer’s disease. This paper presents a novel framework to gain insight into potential biomarkers and targets for diagnosis and treatment of diseases. Alzheimer’s disease (AD) is the most common form of dementia. It mostly afects people aged 65 and older, pro- gresses slowly and leads to death in an average of nine years afer diagnosis. -
LC3B (MAP1LC3B) (N-Term) (Incl. Pos. Control) Mouse Monoclonal Antibody [Clone ID: 2G6] Product Data
OriGene Technologies, Inc. 9620 Medical Center Drive, Ste 200 Rockville, MD 20850, US Phone: +1-888-267-4436 [email protected] EU: [email protected] CN: [email protected] Product datasheet for AM20213PU-N LC3B (MAP1LC3B) (N-term) (incl. pos. control) Mouse Monoclonal Antibody [Clone ID: 2G6] Product data: Product Type: Primary Antibodies Clone Name: 2G6 Applications: IF, WB Recommended Dilution: Immunoblotting: 0.5 µg/ml for HRPO/ECL detection Recommended blocking buffer: Casein/Tween 20 based blocking and blot incubation buffer. We strongly recommend to use PVDF membranes for immunoblot analysis. Immunocytochemistry: Use at 1-10 µg/ml (Paraformaldehyd/Methanol fixation). Included Positive Control: Cell lysate from untreated Neuro 2A (See Protocol below). Reactivity: Hamster, Human, Monkey, Mouse, Rat Host: Mouse Isotype: IgG1 Clonality: Monoclonal Immunogen: Synthetic peptide hemocyanin conjugated derived from the N-terminus of LC3-B Specificity: This antibody specifically recognizes both forms of endogenous LC3, the cytoplasmic LC3-I (18 kDa) as well as the lipidated form generated during autophagosome and autophagolysosome formation: LC3-II (16 kDa). Formulation: PBS containing 0.09% Sodium Azide, PEG and Sucrose/50% Glycerol State: Purified State: Liquid purified IgG fraction Concentration: lot specific Purification: Subsequent Ultrafiltration and Size Exclusion Chromatography Conjugation: Unconjugated Storage: Store the antibody (in aliquots) at -20°C. Avoid repeated freezing and thawing. Stability: Shelf life: one year from despatch. Gene Name: Homo sapiens microtubule associated protein 1 light chain 3 beta (MAP1LC3B) Database Link: Entrez Gene 64862 RatEntrez Gene 67443 MouseEntrez Gene 81631 Human Q9GZQ8 This product is to be used for laboratory only. Not for diagnostic or therapeutic use. -
Data Sheet 140
Rudolf-Wissell-Str. 28a Background 37079 Göttingen, Germany Phone: +49 551-50556-0 RIMs are presynaptic active zone proteins that regulate Ca2+ triggered release of neurotransmitters. Fax: +49 551-50556-384 RIM 1α and RIM 2α are composed of an N-terminal zinc-finger domain, a central PDZ domain and two E-mail: [email protected] C-terminal C2 domains that are seperated by long alternatively spliced sequences. Web: www.sysy.com RIM 2β consists of a specific N-terminus, the central PDZ domain and the C-terminal C2 domains. The RIM 2 mRNA for RIM 2β is transcribed from an internal promoter of the RIM 2α gene. Shorter variants of RIM 2 which comprise only the C-terminal C2B domain and some flanking regions Cat.No. 140 303; Polyclonal rabbit antibody, 50 µg specific antibody (lyophilized) are referred to as NIM 2 / RIM 2γ and NIM 3 / RIM 3γ. Data Sheet Selected References for 140 303 RIM1/2-Mediated Facilitation of Cav1.4 Channel Opening Is Required for Ca2+-Stimulated Release in Mouse Rod Reconstitution/ 50 µg specific antibody, lyophilized. Affinity purified with the immunogen. Photoreceptors. Grabner CP, Gandini MA, Rehak R, Le Y, Zamponi GW, Schmitz F Storage Albumin was added for stabilization. For reconstitution add 50 µl H2O to get a 1mg/ml solution in PBS. Then aliquot and store at -20°C to -80°C until use. The Journal of neuroscience : the official journal of the Society for Neuroscience (2015) 3538: 13133-47. IHC, WB For detailed information, see back of the data sheet. Analysis of RIM Expression and Function at Mouse Photoreceptor Ribbon Synapses.