Moschonas NK (2000) Craniosynostosis and Related Limb Anomalies
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Microarray Expression Profile Analysis of Long Non-Coding Rnas in Optineurin E50K Mutant Transgenic Mice
MOLECULAR MEDICINE REPORTS 16: 1255-1261, 2017 Microarray expression profile analysis of long non-coding RNAs in optineurin E50K mutant transgenic mice YUANYUAN LI, LIN JIN, AIMENG DONG, XINRONG ZHOU and HUIPING YUAN Department of Ophthalmology, The Second Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang 150081, P.R. China Received April 12, 2016; Accepted March 23, 2017 DOI: 10.3892/mmr.2017.6722 Abstract. The biological role of long non-coding RNAs this may be important in the pathogenesis of POAG caused by (lncRNAs) involves various cellular processes and leads to the OPTN (E50K) mutation. human diseases. Mutations in the optineurin (OPTN) gene, including E50K, which encodes an amino acid substitution, Introduction have been associated with primary open angle glaucoma (POAG). The present study was designed to identify lncRNAs Glaucoma is a neurodegenerative ocular disease, which is associated with OPTN (E50K) transgenic mice and investi- recognized worldwide as the key causal factor in irreversible gate its functions in the pathogenesis of POAG. The retinas blindness (1). The predominant form of glaucoma is primary from six OPTN (E50K) transgenic and wild-type mice were open-angle glaucoma (POAG). There are multiple genetic collected separately, and lncRNA expression profiling was factors, which are significant in the etiology of glaucoma. performed using microarray analysis. Based on Pearson's There are >20 genetic loci associated with POAG, however, correlation analysis, an lncRNA and mRNA co-expression only a few of these have been identified, including myocilin, network was constructed. Gene Ontology (GO) and Kyoto WD-repeat domain 36, optineurin (OPTN), and TANK-binding Encyclopedia of Genes and Genomes enrichment analysis of kinase-1 (2,3). -
UCSD MOLECULE PAGES Doi:10.6072/H0.MP.A002549.01 Volume 1, Issue 2, 2012 Copyright UC Press, All Rights Reserved
UCSD MOLECULE PAGES doi:10.6072/H0.MP.A002549.01 Volume 1, Issue 2, 2012 Copyright UC Press, All rights reserved. Review Article Open Access WAVE2 Tadaomi Takenawa1, Shiro Suetsugu2, Daisuke Yamazaki3, Shusaku Kurisu1 WASP family verprolin-homologous protein 2 (WAVE2, also called WASF2) was originally identified by its sequence similarity at the carboxy-terminal VCA (verprolin, cofilin/central, acidic) domain with Wiskott-Aldrich syndrome protein (WASP) and N-WASP (neural WASP). In mammals, WAVE2 is ubiquitously expressed, and its two paralogs, WAVE1 (also called suppressor of cAMP receptor 1, SCAR1) and WAVE3, are predominantly expressed in the brain. The VCA domain of WASP and WAVE family proteins can activate the actin-related protein 2/3 (Arp2/3) complex, a major actin nucleator in cells. Proteins that can activate the Arp2/3 complex are now collectively known as nucleation-promoting factors (NPFs), and the WASP and WAVE families are a founding class of NPFs. The WAVE family has an amino-terminal WAVE homology domain (WHD domain, also called the SCAR homology domain, SHD) followed by the proline-rich region that interacts with various Src-homology 3 (SH3) domain proteins. The VCA domain located at the C-terminus. WAVE2, like WAVE1 and WAVE3, constitutively forms a huge heteropentameric protein complex (the WANP complex), binding through its WHD domain with Abi-1 (or its paralogs, Abi-2 and Abi-3), HSPC300 (also called Brick1), Nap1 (also called Hem-2 and NCKAP1), Sra1 (also called p140Sra1 and CYFIP1; its paralog is PIR121 or CYFIP2). The WANP complex is recruited to the plasma membrane by cooperative action of activated Rac GTPases and acidic phosphoinositides. -
Defining Functional Interactions During Biogenesis of Epithelial Junctions
ARTICLE Received 11 Dec 2015 | Accepted 13 Oct 2016 | Published 6 Dec 2016 | Updated 5 Jan 2017 DOI: 10.1038/ncomms13542 OPEN Defining functional interactions during biogenesis of epithelial junctions J.C. Erasmus1,*, S. Bruche1,*,w, L. Pizarro1,2,*, N. Maimari1,3,*, T. Poggioli1,w, C. Tomlinson4,J.Lees5, I. Zalivina1,w, A. Wheeler1,w, A. Alberts6, A. Russo2 & V.M.M. Braga1 In spite of extensive recent progress, a comprehensive understanding of how actin cytoskeleton remodelling supports stable junctions remains to be established. Here we design a platform that integrates actin functions with optimized phenotypic clustering and identify new cytoskeletal proteins, their functional hierarchy and pathways that modulate E-cadherin adhesion. Depletion of EEF1A, an actin bundling protein, increases E-cadherin levels at junctions without a corresponding reinforcement of cell–cell contacts. This unexpected result reflects a more dynamic and mobile junctional actin in EEF1A-depleted cells. A partner for EEF1A in cadherin contact maintenance is the formin DIAPH2, which interacts with EEF1A. In contrast, depletion of either the endocytic regulator TRIP10 or the Rho GTPase activator VAV2 reduces E-cadherin levels at junctions. TRIP10 binds to and requires VAV2 function for its junctional localization. Overall, we present new conceptual insights on junction stabilization, which integrate known and novel pathways with impact for epithelial morphogenesis, homeostasis and diseases. 1 National Heart and Lung Institute, Faculty of Medicine, Imperial College London, London SW7 2AZ, UK. 2 Computing Department, Imperial College London, London SW7 2AZ, UK. 3 Bioengineering Department, Faculty of Engineering, Imperial College London, London SW7 2AZ, UK. 4 Department of Surgery & Cancer, Faculty of Medicine, Imperial College London, London SW7 2AZ, UK. -
Systems Analysis Implicates WAVE2&Nbsp
JACC: BASIC TO TRANSLATIONAL SCIENCE VOL.5,NO.4,2020 ª 2020 THE AUTHORS. PUBLISHED BY ELSEVIER ON BEHALF OF THE AMERICAN COLLEGE OF CARDIOLOGY FOUNDATION. THIS IS AN OPEN ACCESS ARTICLE UNDER THE CC BY-NC-ND LICENSE (http://creativecommons.org/licenses/by-nc-nd/4.0/). PRECLINICAL RESEARCH Systems Analysis Implicates WAVE2 Complex in the Pathogenesis of Developmental Left-Sided Obstructive Heart Defects a b b b Jonathan J. Edwards, MD, Andrew D. Rouillard, PHD, Nicolas F. Fernandez, PHD, Zichen Wang, PHD, b c d d Alexander Lachmann, PHD, Sunita S. Shankaran, PHD, Brent W. Bisgrove, PHD, Bradley Demarest, MS, e f g h Nahid Turan, PHD, Deepak Srivastava, MD, Daniel Bernstein, MD, John Deanfield, MD, h i j k Alessandro Giardini, MD, PHD, George Porter, MD, PHD, Richard Kim, MD, Amy E. Roberts, MD, k l m m,n Jane W. Newburger, MD, MPH, Elizabeth Goldmuntz, MD, Martina Brueckner, MD, Richard P. Lifton, MD, PHD, o,p,q r,s t d Christine E. Seidman, MD, Wendy K. Chung, MD, PHD, Martin Tristani-Firouzi, MD, H. Joseph Yost, PHD, b u,v Avi Ma’ayan, PHD, Bruce D. Gelb, MD VISUAL ABSTRACT Edwards, J.J. et al. J Am Coll Cardiol Basic Trans Science. 2020;5(4):376–86. ISSN 2452-302X https://doi.org/10.1016/j.jacbts.2020.01.012 JACC: BASIC TO TRANSLATIONALSCIENCEVOL.5,NO.4,2020 Edwards et al. 377 APRIL 2020:376– 86 WAVE2 Complex in LVOTO HIGHLIGHTS ABBREVIATIONS AND ACRONYMS Combining CHD phenotype–driven gene set enrichment and CRISPR knockdown screening in zebrafish is an effective approach to identifying novel CHD genes. -
1 Metabolic Dysfunction Is Restricted to the Sciatic Nerve in Experimental
Page 1 of 255 Diabetes Metabolic dysfunction is restricted to the sciatic nerve in experimental diabetic neuropathy Oliver J. Freeman1,2, Richard D. Unwin2,3, Andrew W. Dowsey2,3, Paul Begley2,3, Sumia Ali1, Katherine A. Hollywood2,3, Nitin Rustogi2,3, Rasmus S. Petersen1, Warwick B. Dunn2,3†, Garth J.S. Cooper2,3,4,5* & Natalie J. Gardiner1* 1 Faculty of Life Sciences, University of Manchester, UK 2 Centre for Advanced Discovery and Experimental Therapeutics (CADET), Central Manchester University Hospitals NHS Foundation Trust, Manchester Academic Health Sciences Centre, Manchester, UK 3 Centre for Endocrinology and Diabetes, Institute of Human Development, Faculty of Medical and Human Sciences, University of Manchester, UK 4 School of Biological Sciences, University of Auckland, New Zealand 5 Department of Pharmacology, Medical Sciences Division, University of Oxford, UK † Present address: School of Biosciences, University of Birmingham, UK *Joint corresponding authors: Natalie J. Gardiner and Garth J.S. Cooper Email: [email protected]; [email protected] Address: University of Manchester, AV Hill Building, Oxford Road, Manchester, M13 9PT, United Kingdom Telephone: +44 161 275 5768; +44 161 701 0240 Word count: 4,490 Number of tables: 1, Number of figures: 6 Running title: Metabolic dysfunction in diabetic neuropathy 1 Diabetes Publish Ahead of Print, published online October 15, 2015 Diabetes Page 2 of 255 Abstract High glucose levels in the peripheral nervous system (PNS) have been implicated in the pathogenesis of diabetic neuropathy (DN). However our understanding of the molecular mechanisms which cause the marked distal pathology is incomplete. Here we performed a comprehensive, system-wide analysis of the PNS of a rodent model of DN. -
Bioinformatics Analyses of Genomic Imprinting
Bioinformatics Analyses of Genomic Imprinting Dissertation zur Erlangung des Grades des Doktors der Naturwissenschaften der Naturwissenschaftlich-Technischen Fakultät III Chemie, Pharmazie, Bio- und Werkstoffwissenschaften der Universität des Saarlandes von Barbara Hutter Saarbrücken 2009 Tag des Kolloquiums: 08.12.2009 Dekan: Prof. Dr.-Ing. Stefan Diebels Berichterstatter: Prof. Dr. Volkhard Helms Priv.-Doz. Dr. Martina Paulsen Vorsitz: Prof. Dr. Jörn Walter Akad. Mitarbeiter: Dr. Tihamér Geyer Table of contents Summary________________________________________________________________ I Zusammenfassung ________________________________________________________ I Acknowledgements _______________________________________________________II Abbreviations ___________________________________________________________ III Chapter 1 – Introduction __________________________________________________ 1 1.1 Important terms and concepts related to genomic imprinting __________________________ 2 1.2 CpG islands as regulatory elements ______________________________________________ 3 1.3 Differentially methylated regions and imprinting clusters_____________________________ 6 1.4 Reading the imprint __________________________________________________________ 8 1.5 Chromatin marks at imprinted regions___________________________________________ 10 1.6 Roles of repetitive elements ___________________________________________________ 12 1.7 Functional implications of imprinted genes _______________________________________ 14 1.8 Evolution and parental conflict ________________________________________________ -
Synovial Sarcoma: Recent Discoveries As a Roadmap to New Avenues for Therapy
Published OnlineFirst January 22, 2015; DOI: 10.1158/2159-8290.CD-14-1246 REVIEW Synovial Sarcoma: Recent Discoveries as a Roadmap to New Avenues for Therapy Torsten O. Nielsen 1 , Neal M. Poulin 1 , and Marc Ladanyi 2 ABSTRACT Oncogenesis in synovial sarcoma is driven by the chromosomal translocation t(X,18; p11,q11), which generates an in-frame fusion of the SWI/SNF subunit SS18 to the C-terminal repression domains of SSX1 or SSX2. Proteomic studies have identifi ed an integral role of SS18–SSX in the SWI/SNF complex, and provide new evidence for mistargeting of polycomb repression in synovial sarcoma. Two recent in vivo studies are highlighted, providing additional support for the importance of WNT signaling in synovial sarcoma: One used a conditional mouse model in which knock- out of β-catenin prevents tumor formation, and the other used a small-molecule inhibitor of β-catenin in xenograft models. Signifi cance: Synovial sarcoma appears to arise from still poorly characterized immature mesenchymal progenitor cells through the action of its primary oncogenic driver, the SS18–SSX fusion gene, which encodes a multifaceted disruptor of epigenetic control. The effects of SS18–SSX on polycomb-mediated gene repression and SWI/SNF chromatin remodeling have recently come into focus and may offer new insights into the basic function of these processes. A central role for deregulation of WNT–β-catenin sig- naling in synovial sarcoma has also been strengthened by recent in vivo studies. These new insights into the the biology of synovial sarcoma are guiding novel preclinical and clinical studies in this aggressive cancer. -
Effects and Mechanisms of Eps8 on the Biological Behaviour of Malignant Tumours (Review)
824 ONCOLOGY REPORTS 45: 824-834, 2021 Effects and mechanisms of Eps8 on the biological behaviour of malignant tumours (Review) KAILI LUO1, LEI ZHANG2, YUAN LIAO1, HONGYU ZHOU1, HONGYING YANG2, MIN LUO1 and CHEN QING1 1School of Pharmaceutical Sciences and Yunnan Key Laboratory of Pharmacology for Natural Products, Kunming Medical University, Kunming, Yunnan 650500; 2Department of Gynecology, Yunnan Tumor Hospital and The Third Affiliated Hospital of Kunming Medical University; Kunming, Yunnan 650118, P.R. China Received August 29, 2020; Accepted December 9, 2020 DOI: 10.3892/or.2021.7927 Abstract. Epidermal growth factor receptor pathway substrate 8 1. Introduction (Eps8) was initially identified as the substrate for the kinase activity of EGFR, improving the responsiveness of EGF, which Malignant tumours are uncontrolled cell proliferation diseases is involved in cell mitosis, differentiation and other physiological caused by oncogenes and ultimately lead to organ and body functions. Numerous studies over the last decade have demon- dysfunction (1). In recent decades, great progress has been strated that Eps8 is overexpressed in most ubiquitous malignant made in the study of genes and signalling pathways in tumours and subsequently binds with its receptor to activate tumorigenesis. Eps8 was identified by Fazioli et al in NIH-3T3 multiple signalling pathways. Eps8 not only participates in the murine fibroblasts via an approach that allows direct cloning regulation of malignant phenotypes, such as tumour proliferation, of intracellular substrates for receptor tyrosine kinases (RTKs) invasion, metastasis and drug resistance, but is also related to that was designed to study the EGFR signalling pathway. Eps8 the clinicopathological characteristics and prognosis of patients. -
MLLT10 (AF10) Antibody (Center) Purified Rabbit Polyclonal Antibody (Pab) Catalog # Ap1906b
苏州工业园区双圩路9号1幢 邮 编 : 215000 电 话 : 0512-88856768 MLLT10 (AF10) Antibody (Center) Purified Rabbit Polyclonal Antibody (Pab) Catalog # AP1906b Specification MLLT10 (AF10) Antibody (Center) - Product info Application WB, IF Primary Accession P55197 Reactivity Human Host Rabbit Clonality Polyclonal Isotype Rabbit Ig MLLT10 (AF10) Antibody (Center) - Additional info Gene ID 8028 Other Names Protein AF-10, ALL1-fused gene from chromosome 10 protein, MLLT10, AF10 Western blot analysis of MLLT10 (Cat. Target/Specificity #AP1906b) in K562 cell line lysates This MLLT10 (AF10) antibody is generated from rabbits (35ug/lane). MLLT10 (arrow) was immunized with a KLH conjugated synthetic peptide between detected using the purified Pab.(2ug/ml) 294-323 amino acids from the Central region of human MLLT10 (AF10). Dilution WB~~1:1000 IF~~1:10~50 Format Purified polyclonal antibody supplied in PBS with 0.09% (W/V) sodium azide. This antibody is prepared by Saturated Ammonium Sulfate (SAS) precipitation followed by dialysis against PBS. Storage Maintain refrigerated at 2-8°C for up to 2 weeks. For long term storage store at -20°C in small aliquots to prevent freeze-thaw cycles. Precautions MLLT10 (AF10) Antibody (Center) is for research use only and Fluorescent confocal image of Hela cell not for use in diagnostic or therapeutic procedures. stained with MLLT10 (AF10) Antibody (Center)(Cat#AP1906b).HeLa cells were fixed with 4% PFA (20 min), MLLT10 (AF10) Antibody (Center) - Protein Information permeabilized with Triton X-100 (0.1%, 10 min), then incubated with MLLT10 Name MLLT10 (HGNC:16063) primary antibody (1:25, 1 h at 37℃). For secondary antibody, Alexa Fluor® 488 Function conjugated donkey anti-rabbit antibody Probably involved in transcriptional regulation. -
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. -
The New Melanoma: a Novel Model for Disease Progression
DISS. ETH NO. 17606 The new melanoma: A novel model for disease progression A dissertation submitted to SWISS FEDERAL INSTITUTE OF TECHNOLOGY ZÜRICH for the degree of DOCTOR OF SCIENCES presented by Natalie Schlegel Master of Science, Otago University (New Zealand) born on January 20th 1976 citizen of Zürich (ZH) accepted on the recommendation of Professor Sabine Werner, examinor Professor Reinhard Dummer, co-examinor Professor Josef Jiricny, co-examinor 2008 22 Table of Contents Abstract ...................................................................................................................................... 6 Résumé....................................................................................................................................... 8 Abbreviations ........................................................................................................................... 10 1. Introduction ...................................................................................................................... 13 1.1 Definition ................................................................................................................. 14 1.2 Clinical features........................................................................................................ 14 1.3 Pathological features and staging............................................................................. 16 1.3.2 Clark’s level of invasion and Breslow’s thickness........................................... 16 1.3.3 TNM staging ................................................................................................... -
Usbiological Datasheet
MLLT10, CT (AF10) (Protein AF-10, AF10, ALL1-fused Gene From Chromosome 10 Protein) (Biotin) Catalog number A0923-60C-Biotin Supplier United States Biological Translocations affecting chromosome 11q23 involve many partner chromosome regions and occur in various leukemias. The 11q23 gene involved in the translocations is MLL. MLLT10 is the partner gene to MLL1 involved in t(10;11)(p12;q23) translocations. In an analysis of two leukemia patients, the in t(10;11)(p12;q23) translocation fuses MLL1, a SET domain containg histone methyltransferase, to the MLLT10 gene. The MLLT10 gene encodes a predicted 1,027aa protein containing an N-terminal zinc finger and a C-terminal leucine zipper domain. The MLLT10 gene is one of the few MLL partner genes to be independently rearranged with a third gene in leukemia, the CALM gene in the t(10;11)(p12;q14) translocation. Chimeric fusion proteins MLL/AF10 and CALM/AF10 consistently retain the leucine zipper motif of MLLT10. The leucine zipper interacts with GAS41, a protein previously identified as the product of an amplified gene in a glioblastoma. GAS41 interacts with integrase interactor-1 (INI1), a component of the SWI/SNF complex, which acts to remodel chromatin and to modulate transcription. Retention of the leucine zipper in the MLL and CALM fusions suggested that a key feature of these chimeric proteins may be their ability to interfere in normal gene regulation through interaction with the adenosine triphosphate-dependent chromatin remodeling complexes. Applications Suitable for use in ELISA, Western Blot, and Immunohistochemistry. Other applications not tested. Recommended Dilution ELISA: 1:1,000 Western Blot: 1:100-1:500 Immunohistochemistry: 1:10-1:50 Optimal dilutions to be determined by the researcher.