WIPI Proteins: Essential Ptdins3p Effectors at the Nascent
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Analysis of Trans Esnps Infers Regulatory Network Architecture
Analysis of trans eSNPs infers regulatory network architecture Anat Kreimer Submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy in the Graduate School of Arts and Sciences COLUMBIA UNIVERSITY 2014 © 2014 Anat Kreimer All rights reserved ABSTRACT Analysis of trans eSNPs infers regulatory network architecture Anat Kreimer eSNPs are genetic variants associated with transcript expression levels. The characteristics of such variants highlight their importance and present a unique opportunity for studying gene regulation. eSNPs affect most genes and their cell type specificity can shed light on different processes that are activated in each cell. They can identify functional variants by connecting SNPs that are implicated in disease to a molecular mechanism. Examining eSNPs that are associated with distal genes can provide insights regarding the inference of regulatory networks but also presents challenges due to the high statistical burden of multiple testing. Such association studies allow: simultaneous investigation of many gene expression phenotypes without assuming any prior knowledge and identification of unknown regulators of gene expression while uncovering directionality. This thesis will focus on such distal eSNPs to map regulatory interactions between different loci and expose the architecture of the regulatory network defined by such interactions. We develop novel computational approaches and apply them to genetics-genomics data in human. We go beyond pairwise interactions to define network motifs, including regulatory modules and bi-fan structures, showing them to be prevalent in real data and exposing distinct attributes of such arrangements. We project eSNP associations onto a protein-protein interaction network to expose topological properties of eSNPs and their targets and highlight different modes of distal regulation. -
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. -
Alzheimer Disease
ManuscriptPreprints (www.preprints.org) - with full author details | NOT PEER-REVIEWED | Posted: 4 June 2020 AN ATLAS OF THE GENETIC VARIATIONS LINKING DYSREGULATION OF AUTOPHAGY TO HUMAN DISEASES: THE MISSING ENVIRONMENTAL LINK Iris Grosjean 1*, Barnabé Roméo 1*, Marie-Angela Domdom 1, Nathalie Yazbeck 1, Grégoire D’Andréa 1,2, Amine Belaid 3, Olivier Camuzard4, Olivia Vidal 1, Guillemette Crépeaux 5,6, Romain K Gherardi 6, François Jerome Authier 6, Jean Daniel Masson 6, Eric Gilson 1,7, Charles Hugo Marquette1,8, Sylvie Leroy 8, Jérémie Roux 1, Patrick Brest 1, Martin Von Bergen 9, Gérard Milano 10, Daniel J. Klionsky 11, Paul Hofman 1,12, Baharia Mograbi 1# 1. University Côte d'Azur, CNRS, INSERM, IRCAN, FHU-OncoAge, Centre Antoine Lacassagne, Nice, France. 2. University Côte d'Azur, Institut Universitaire de la Face et du Cou, ENT and Cervico-Facial Surgery department, CHU de Nice, Nice, France. 3. Pulmonary and Critical Care Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA 4. University Côte d'Azur, UMR E-4320 TIRO-MATOs CEA/DRF/BIAM, Faculté de Médecine, Service de Chirurgie Réparatrice et de la Main, CHU de Nice, Nice, France. 5. Ecole Nationale Vétérinaire d’Alfort, Maisons-Alfort, France. 6. INSERM U955 Team Relais, Faculty of Health, Paris Est University, Créteil, France. 7. Department of Medical Genetics, Archet 2 Hospital, CHU of Nice, Nice, France. 8. University Côte d'Azur, FHU-OncoAge, Department of Pulmonary Medicine and Oncology, CHU de Nice, Nice, France. 9. Helmholtz Centre for Environmental Research GmbH - UFZ, Dep. -
WIPI-1 (38-W): Sc-100901
SANTA CRUZ BIOTECHNOLOGY, INC. WIPI-1 (38-W): sc-100901 BACKGROUND APPLICATIONS WIPI-1 (WD repeat domain, phosphoinositide interacting-1), also known as WIPI-1 (38-W) is recommended for detection of WIPI-1 of mouse, rat and WIPI1, ATG18 or WIPI49, is a 446 amino acid protein that localizes to cyto- human origin by Western Blotting (starting dilution 1:200, dilution range plasmic vesicles, endosomes, clathrin-coated vesicles and the trans-Golgi 1:100-1:1000), immunoprecipitation [1-2 µg per 100-500 µg of total protein network. Ubiquitously expressed with highest expression in heart, testis, (1 ml of cell lysate)] and solid phase ELISA (starting dilution 1:30, dilution placenta, pancreas and skeletal muscle, WIPI-1 is thought to play a role in range 1:30-1:3000). autophagy and may regulate protein trafficking in certain recycling pathways. Suitable for use as control antibody for WIPI-1 siRNA (h): sc-72210, WIPI-1 In addition, WIPI-1 interacts with androgen and estrogen receptors (ARs and siRNA (m): sc-72211, WIPI-1 shRNA Plasmid (h): sc-72210-SH, WIPI-1 shRNA ERs, respectively) and, through this interaction, may modify receptor function. Plasmid (m): sc-72211-SH, WIPI-1 shRNA (h) Lentiviral Particles: sc-72210-V WIPI-1 contains three WD repeats and has a 7-bladed propeller structure and WIPI-1 shRNA (m) Lentiviral Particles: sc-72211-V. with a conserved motif that facilitates its interaction with other proteins. WIPI-1 is expressed as two isoforms, designated a and b, and its expression Molecular Weight of WIPI-1: 49 kDa. -
Clinician's Guide to Genes Associated with Rett‐Like Phenotypes
Received: 4 September 2017 Revised: 4 October 2017 Accepted: 5 October 2017 DOI: 10.1111/cge.13153 REVIEW Clinician’s guide to genes associated with Rett-like phenotypes— Investigation of a Danish cohort and review of the literature B. Schönewolf-Greulich1,2 | A-M. Bisgaard1 | R.S. Møller3,4 | M. Dunø5 | K. Brøndum-Nielsen5 | S. Kaur6,7 | N.J. Van Bergen6,7 | S. Lunke8 | S. Eggers8 | C. Jespersgaard2 | J. Christodoulou6,7 | Z. Tümer2 1Center for Rett Syndrome, Kennedy Center, Department of Paediatrics, Copenhagen The differential diagnostics in Rett syndrome has evolved with the development of next genera- University Hospital, Rigshospitalet, tion sequencing-based techniques and many patients have been diagnosed with other syndromes Copenhagen, Denmark or variants in newly described genes where the associated phenotype(s) is yet to be fully explored. 2 Applied Human Molecular Genetics, Kennedy The term Rett-like refers to phenotypes with distinct overlapping features of Rett syndrome Center, Department of Clinical Genetics, Copenhagen University Hospital, where the clinical criteria are not completely fulfilled. In this study we have combined a review of Rigshospitalet, Copenhagen, Denmark Rett-like disorders with data from a Danish cohort of 35 patients with Rett-like phenotypes 3Danish Epilepsy Centre, Dianalund, Denmark emphasizing the diagnostic overlap with Pitt-Hopkins syndrome, Cornelia de Lange syndrome with 4Institute for Regional Health Services, University SMC1A variants, and epileptic encephalopathies, for example, due to STXBP1 variants. We also of Southern Denmark, Odense, Denmark found a patient with a pathogenic variant in KCNB1, which has not been previously linked to a 5 Department of Clinical Genetics, Copenhagen Rett-like phenotype. -
Exploring Autophagy with Gene Ontology
Autophagy ISSN: 1554-8627 (Print) 1554-8635 (Online) Journal homepage: https://www.tandfonline.com/loi/kaup20 Exploring autophagy with Gene Ontology Paul Denny, Marc Feuermann, David P. Hill, Ruth C. Lovering, Helene Plun- Favreau & Paola Roncaglia To cite this article: Paul Denny, Marc Feuermann, David P. Hill, Ruth C. Lovering, Helene Plun- Favreau & Paola Roncaglia (2018) Exploring autophagy with Gene Ontology, Autophagy, 14:3, 419-436, DOI: 10.1080/15548627.2017.1415189 To link to this article: https://doi.org/10.1080/15548627.2017.1415189 © 2018 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group. View supplementary material Published online: 17 Feb 2018. Submit your article to this journal Article views: 1097 View Crossmark data Full Terms & Conditions of access and use can be found at https://www.tandfonline.com/action/journalInformation?journalCode=kaup20 AUTOPHAGY, 2018 VOL. 14, NO. 3, 419–436 https://doi.org/10.1080/15548627.2017.1415189 RESEARCH PAPER - BASIC SCIENCE Exploring autophagy with Gene Ontology Paul Denny a,†,§, Marc Feuermann b,§, David P. Hill c,f,§, Ruth C. Lovering a,§, Helene Plun-Favreau d and Paola Roncaglia e,f,§ aFunctional Gene Annotation, Institute of Cardiovascular Science, University College London, London, UK; bSIB Swiss Institute of Bioinformatics, Geneva, Switzerland; cThe Jackson Laboratory, Bar Harbor, ME, USA; dDepartment of Molecular Neuroscience, UCL Institute of Neurology, London, UK; eEuropean Bioinformatics Institute (EMBL-EBI), European Molecular Biology Laboratory, Wellcome Genome Campus, Hinxton, Cambridge, UK; fThe Gene Ontology Consortium ABSTRACT ARTICLE HISTORY Autophagy is a fundamental cellular process that is well conserved among eukaryotes. It is one of the Received 18 May 2017 strategies that cells use to catabolize substances in a controlled way. -
RNA-Seq Transcriptome Reveals Different Molecular Responses
Zhao et al. BMC Genomics (2020) 21:475 https://doi.org/10.1186/s12864-020-06885-4 RESEARCH ARTICLE Open Access RNA-Seq transcriptome reveals different molecular responses during human and mouse oocyte maturation and fertilization Zheng-Hui Zhao1,2, Tie-Gang Meng1,3, Ang Li1, Heide Schatten4, Zhen-Bo Wang1,2* and Qing-Yuan Sun1,3* Abstract Background: Female infertility is a worldwide concern and the etiology of infertility has not been thoroughly demonstrated. Although the mouse is a good model system to perform functional studies, the differences between mouse and human also need to be considered. The objective of this study is to elucidate the different molecular mechanisms underlying oocyte maturation and fertilization between human and mouse. Results: A comparative transcriptome analysis was performed to identify the differentially expressed genes and associated biological processes between human and mouse oocytes. In total, 8513 common genes, as well as 15, 165 and 6126 uniquely expressed genes were detected in human and mouse MII oocytes, respectively. Additionally, the ratios of non-homologous genes in human and mouse MII oocytes were 37 and 8%, respectively. Functional categorization analysis of the human MII non-homologous genes revealed that cAMP-mediated signaling, sister chromatid cohesin, and cell recognition were the major enriched biological processes. Interestingly, we couldn’t detect any GO categories in mouse non-homologous genes. Conclusions: This study demonstrates that human and mouse oocytes exhibit significant differences in gene expression profiles during oocyte maturation, which probably deciphers the differential molecular responses to oocyte maturation and fertilization. The significant differences between human and mouse oocytes limit the generalizations from mouse to human oocyte maturation. -
Whole Genome Sequencing Report
Whole Genome Sequencing Report Patient: Primary Referrer: Jean DOE Dr Make Youwell 1 Doe St The Best Hospital Darlinghurst NSW 2010 1 Hospital St Australia Darlinghurst NSW 2010 Australia Sex: Male Provider No. 123456AB DOB: 01-Jan-2000 Family ID: 17F12345 Request date: 10-Jan-2017 DNA Tube ID: FD01234567 Collection date: 15-Jan-2017 Unique Lab ID: 12345678 Received date: 20-Jan-2017 Your reference(s): ABC54321 Submitted specimen: EDTA blood Test requested: Whole Genome Sequencing Primary Analysis: Bioinformatics analysis of all known protein coding genes Secondary Analysis: None requested Incidental Findings: Not reported as per consent form Samples analysed: Trio Indications for testing: Seizures, severe intellectual disability, facial dysmorphism. Family members tested: Name Relationship Status DOB Sex DNA Tube ID Jean DOE Proband Affected 01-Jan-2000 M FR01234567 Ja… DO… Mother Unaffected 02-Feb-1980 F FR01234568 Bo… DO… Father Unaffected 03-Mar-1978 M FR01234569 Summary of results: A de novo MOSAIC HEMIZYGOUS pathogenic variant has been identified in the WDR45 gene. Result / Genotype: Gene Variant Location Zygosity Disorder(s) ACMG Classification WDR45 ChrX(GRCh37):g.[48932540_ Exon Hemizygous Neurodegeneration Pathogenic 48932541=/del];[0] 13 of 13 (mosaic) with brain iron (Class 5) NM_007075.3:c.[1007_1008=/ accumulation 3 del];[0] (OMIM #123456) p.[(Tyr337=/Tyr337Cysfs*5)]; [0] This variant was present in the Proband, and confirmed by Sanger sequencing. The variant was NOT detected in the Mother or Father. Page 1 of 4 Genome.One Name: Jean DOE DOB: 01-Jan-2000 Interpretation: Whole genome sequencing has identified a de novo hemizygous truncating variant in WDR45. -
WDR45 Mutations May Cause a MECP2 Mutation-Negative Rett Syndrome Phenotype
CLINICAL/SCIENTIFIC NOTES OPEN ACCESS WDR45 mutations may cause a MECP2 mutation-negative Rett syndrome phenotype Leonora Kulikovskaja, MS, Adrijan Sarajlija, MD, Dusanka Savic-Pavicevic, PhD, Valerija Dobricic, PhD, Correspondence Christine Klein, MD, and Ana Westenberger, PhD Dr. Klein christine.klein@ Neurol Genet 2018;4:e227. doi:10.1212/NXG.0000000000000227 neuro.uni-luebeck.de Mutations in the autophagy-related WD domain repeat 45 (WDR45) gene cause beta-propeller protein-associated neurodegeneration (BPAN), a distinct form of neurodegeneration with brain iron accumulation (NBIA).1,2 Clinical and imaging features comprise childhood-onset global developmental delay with further regression in early adulthood, progressive dystonia, parkinsonism, stereotypies, and iron deposition in the basal ganglia. Female and the few existing male patients show similar phenotypes, probably because of somatic mosaicism in males and skewed X-chromosome inactivation (XCI) in females, as WDR45 is located on Xp11.23. To date, about 60 cases have been reported, many of whom had a different initial clinical diagnosis.3 Hyperkinetic movements and stereotypies overlap with Rett syndrome features, another X-linked disorder most commonly caused by MECP2 mutations. Indeed, for 7% of the reported cases of BPAN, the initial diagnosis was Rett syndrome,3 prompting us to perform the first mutational screen of the WDR45 gene in a large cohort of MECP2 mutation-negative Rett syndrome patients. Methods We sequenced exons 3–12 covering the coding region of WDR45 (ENST00000356463, NM_0007075) in 40 patients with Rett(-like) syndrome from Serbia, including 2 male patients. All patients had been tested negative for mutations in the MECP2 gene. In identified sequence change carriers, the XCI pattern was studied using the human androgen receptor assay (HUMARA) as described in reference 4. -
Genome-Wide Association Study of Cardiac Structure and Systolic Function in African Americans the Candidate Gene Association Resource (Care) Study Ervin R
Genome-Wide Association Study of Cardiac Structure and Systolic Function in African Americans The Candidate Gene Association Resource (CARe) Study Ervin R. Fox, University of Mississippi Solomon K. Musani, University of Mississippi Maja Barbalic, University of Texas Health Science Center Honghuang Lin, Boston University Bing Yu, University of Mississippi Kofo O. Ogunyankin, Northwestern University Nicholas L. Smith, University of Washington Abdullah Kutlar, Georgia Health Sciences University Nicole L. Glazer, Boston University Wendy S. Post, Johns Hopkins University Only first 10 authors above; see publication for full author list. Journal Title: Circulation: Cardiovascular Genetics Volume: Volume 6, Number 1 Publisher: American Heart Association | 2013-02-01, Pages 37-46 Type of Work: Article | Post-print: After Peer Review Publisher DOI: 10.1161/CIRCGENETICS.111.962365 Permanent URL: https://pid.emory.edu/ark:/25593/v8g7t Final published version: http://dx.doi.org/10.1161/CIRCGENETICS.111.962365 Copyright information: © 2013 American Heart Association, Inc. Accessed September 30, 2021 9:00 PM EDT NIH Public Access Author Manuscript Circ Cardiovasc Genet. Author manuscript; available in PMC 2014 February 01. NIH-PA Author ManuscriptPublished NIH-PA Author Manuscript in final edited NIH-PA Author Manuscript form as: Circ Cardiovasc Genet. 2013 February 1; 6(1): 37–46. doi:10.1161/CIRCGENETICS.111.962365. Genome-Wide Association Study of Cardiac Structure and Systolic Function in African Americans: The Candidate Gene Association Resource (CARe) Study Ervin R. Fox, MD1,*, Solomon K. Musani, PhD1,*, Maja Barbalic, PhD2,*, Honghuang Lin, PhD3, Bing Yu, MS1, Kofo O. Ogunyankin, MD4, Nicholas L. Smith, PhD5, Abdullah Kutlar, MD6, Nicole L. Glazer, MD3, Wendy S. -
Anti-WDR45 Antibody (ARG23721)
Product datasheet [email protected] ARG23721 Package: 50 μg anti-WDR45 antibody Store at: -20°C Summary Product Description Rabbit Polyclonal antibody recognizes WDR45 Tested Reactivity Hu Tested Application ICC/IF, WB Host Rabbit Clonality Polyclonal Isotype IgG Target Name WDR45 Antigen Species Human Immunogen Synthetic peptide around aa. 312-322 of Human WDR45. Conjugation Un-conjugated Alternate Names WD repeat-containing protein 45; WIPI-4; NBIA5; NBIA4; WIPI4; JM5; WD repeat domain phosphoinositide-interacting protein 4; WDRX1 Application Instructions Application table Application Dilution ICC/IF 1:100 WB 1:1000 Application Note * The dilutions indicate recommended starting dilutions and the optimal dilutions or concentrations should be determined by the scientist. Calculated Mw 40 kDa Observed Size ~ 40 kDa Properties Form Liquid Purification Affinity purification with immunogen. Buffer PBS, 0.09% Sodium azide and 50% Glycerol. Preservative 0.09% Sodium azide Stabilizer 50% Glycerol Concentration 1 mg/ml Storage instruction For continuous use, store undiluted antibody at 2-8°C for up to a week. For long-term storage, aliquot and store at -20°C. Storage in frost free freezers is not recommended. Avoid repeated freeze/thaw cycles. Suggest spin the vial prior to opening. The antibody solution should be gently mixed before use. www.arigobio.com 1/2 Note For laboratory research only, not for drug, diagnostic or other use. Bioinformation Gene Symbol WDR45 Gene Full Name WD repeat domain 45 Background This gene encodes a member of the WD repeat protein family. WD repeats are minimally conserved regions of approximately 40 amino acids typically bracketed by gly-his and trp-asp (GH-WD), which may facilitate formation of heterotrimeric or multiprotein complexes. -
Datasheet: MCA5780GA Product Details
Datasheet: MCA5780GA Description: MOUSE ANTI WIPI2 Specificity: WIPI2 Format: Purified Product Type: Monoclonal Antibody Clone: 2A2 Isotype: IgG1 Quantity: 0.1 mg Product Details Applications This product has been reported to work in the following applications. This information is derived from testing within our laboratories, peer-reviewed publications or personal communications from the originators. Please refer to references indicated for further information. For general protocol recommendations, please visit www.bio-rad-antibodies.com/protocols. Yes No Not Determined Suggested Dilution Flow Cytometry Immunohistology - Frozen Immunohistology - Paraffin ELISA Immunoprecipitation Western Blotting Immunofluorescence Where this product has not been tested for use in a particular technique this does not necessarily exclude its use in such procedures. Suggested working dilutions are given as a guide only. It is recommended that the user titrates the product for use in their own system using the appropriate negative/positive controls. Target Species Human Species Cross Reacts with: Mouse Reactivity N.B. Antibody reactivity and working conditions may vary between species. Product Form Purified IgG - liquid Buffer Solution Phosphate buffered saline Preservative 0.09% Sodium Azide (NaN ) Stabilisers 3 Carrier Free Yes Approx. Protein IgG concentration 1.0 mg/ml Concentrations Immunogen Synthetic peptide corresponding to the C-terminus of WIPI2b (CSALRLDEDSEHPPMILRTD) Page 1 of 3 External Database Links UniProt: Q9Y4P8 Related reagents Q80W47 Related reagents Entrez Gene: 26100 WIPI2 Related reagents 74781 Wipi2 Related reagents Specificity Mouse anti Human WIPI2 antibody, clone 2A2 recognies WD repeat domain phosphoinositide- interacting protein 2 (WIPI-2), also known as WIPI49-like protein 2. WIPI2 is a 454 amino acid ~54 kDa autophagosomal marker containing three WD repeats.