Breakpoint Mapping and Haplotype Analysis of Translocation T(1;12)(Q43;Q21.1) in Two Apparently Independent Families with Vascular Phenotypes
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Transcriptional Mechanisms of Resistance to Anti-PD-1 Therapy
Author Manuscript Published OnlineFirst on February 13, 2017; DOI: 10.1158/1078-0432.CCR-17-0270 Author manuscripts have been peer reviewed and accepted for publication but have not yet been edited. Transcriptional mechanisms of resistance to anti-PD-1 therapy Maria L. Ascierto1, Alvin Makohon-Moore2, 11, Evan J. Lipson1, Janis M. Taube3,4, Tracee L. McMiller5, Alan E. Berger6, Jinshui Fan6, Genevieve J. Kaunitz3, Tricia R. Cottrell4, Zachary A. Kohutek7, Alexander Favorov8,10, Vladimir Makarov7,11, Nadeem Riaz7,11, Timothy A. Chan7,11, Leslie Cope8, Ralph H. Hruban4,9, Drew M. Pardoll1, Barry S. Taylor11,12,13, David B. Solit13, Christine A Iacobuzio-Donahue2,11, and Suzanne L. Topalian5 From the 1Departments of Oncology, 3Dermatology, 4Pathology, 5Surgery, 6The Lowe Family Genomics Core, 8Oncology Bioinformatics Core, and the 9 Sol Goldman Pancreatic Cancer Research Center, Johns Hopkins University School of Medicine and Sidney Kimmel Comprehensive Cancer Center, Baltimore, MD 21287; the 10Laboratory of System Biology and Computational Genetics, Vavilov Institute of General Genetics, Russian Academy of Sciences, 119991, Moscow, Russia; and 2Pathology, 7Radiation Oncology, 11Human Oncology and Pathogenesis Program, 12Department of Epidemiology and Biostatistics, and the 13Center for Molecular Oncology, Memorial Sloan Kettering Cancer Center, New York NY 10065. MLA, AM-M, EJL, and JMT contributed equally to this work Running title: Transcriptional mechanisms of resistance to anti-PD-1 Key Words: melanoma, cancer genetics, immunotherapy, anti-PD-1 Financial Support: This study was supported by the Melanoma Research Alliance (to SLT and CI-D), the Bloomberg~Kimmel Institute for Cancer Immunotherapy (to JMT, DMP, and SLT), the Barney Family Foundation (to SLT), Moving for Melanoma of Delaware (to SLT), the 1 Downloaded from clincancerres.aacrjournals.org on October 2, 2021. -
Type of the Paper (Article
Cancers 2020, 12, S1 of S11 Supplementary Materials: Inflammatory Proteins HMGA2 and PRTN3 as Drivers of Vulvar Squamous Cell Carcinoma Pro- gression Agnieszka Fatalska, Natalia Rusetska, Elwira Bakuła-Zalewska, Artur Kowalik, Sebastian Zięba, Agnieszka Wroblewska, Kamil Zalewski, Krzysztof Goryca, Dominik Domański and Magdalena Kowalewska Text S1: Supplementary Methods iTRAQ (Isobaric Tags for Relative and Absolute Quantitation) Cell Lysis The samples were snap-frozen in liquid nitrogen immediately after collection and stored at −70°C before pulverization (with the Microdismembrator II, B Braun Biotech In- ternational, Melsungen, Germany). Forty-two (14 control, 16 d-fVSCC and 12 progVSCC) samples were subjected to deep proteomic analysis. Total cell lysates were obtained from approximately 100 mg of pulverized patient tissue samples. The frozen pulverized tissue samples were resuspended in 300 µl of cold Lysis Buffer (1% sodium deoxycholate (NaDOC) in 25 mM HEPES (4-(2-hydroxyethyl)-1-pipera- zineethanesulfonic acid), boiled for 5 min at 100 °C, and cooled to room temperature (RT) on ice. Next, nucleic acids were degraded with 30 µL of benzonase nuclease (2.5 U/µL in 25 mM HEPES) at 4 °C for 30 min. Samples were then centrifuged twice at 12,000 × g for 10 min at 4 °C and the supernatants were stored at −80 °C. Protein concentrations were determined using the Pierce (Appleton, WI, USA) Bicinchoninic Acid (BCA) Assay Kit according to the manufacturer’s instructions, for the 96-well plate format, in duplicate, at two different sample dilutions (ThermoFisher Scientific, Waltham, MA, USA). Sample Protein Extract Digestion and iTRAQ Labeling Protein extract digestion and iTRAQ tag labeling was conducted using the 8-plex iTRAQ assay and iTRAQ Reagent and Buffer Kits (AB SCIEX, Framingham, MA, USA). -
Bioinformatic Analysis of Next‑Generation Sequencing Data to Identify Dysregulated Genes in Fibroblasts of Idiopathic Pulmonary Fibrosis
INTERNATIONAL JOURNAL OF MOleCular meDICine 43: 1643-1656, 2019 Bioinformatic analysis of next‑generation sequencing data to identify dysregulated genes in fibroblasts of idiopathic pulmonary fibrosis CHAU‑CHYUN SHEU1-3, WEI‑AN CHANG1,2, MING‑JU TSAI1-3, SSU‑HUI LIAO1, INN‑WEN CHONG2,3 and PO-LIN KUO1 1Graduate Institute of Clinical Medicine, College of Medicine, Kaohsiung Medical University; 2Division of Pulmonary and Critical Care Medicine, Kaohsiung Medical University Hospital; 3Department of Internal Medicine, School of Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung 807, Taiwan, R.O.C. Received October 7, 2018; Accepted January 29, 2019 DOI: 10.3892/ijmm.2019.4086 Abstract. Idiopathic pulmonary fibrosis (IPF) is a lethal and miRNA expression data, combined with GEO verifica- fibrotic lung disease with an increasing global burden. It is tion, finally identified Homo sapiens (hsa)-miR-1254-INKA2 hypothesized that fibroblasts have a number of functions that and hsa-miR-766-3p-INKA2 as the potential miRNA-mRNA may affect the development and progression of IPF. However, interactions in IPF fibroblasts. In summary, the results the present understanding of cellular and molecular mecha- of the present study suggest that dysregulation of PAX8, nisms associated with fibroblasts in IPF remains limited. hsa-miR-1254-INKA2 and hsa-miR-766-3p-INKA2 may The present study aimed to identify the dysregulated genes promote the proliferation and survival of IPF fibroblasts. In in IPF fibroblasts, elucidate their functions and explore the functional analysis of the dysregulated genes, a marked potential microRNA (miRNA)‑mRNA interactions. mRNA association between fibroblasts and the ECM was identified. -
Identification of Tgfβ-Related Genes Regulated in Murine Osteoarthritis and Chondrocyte Hypertrophy by Comparison of Multiple Microarray Datasets
http://hdl.handle.net/1765/109466 Identification of TGFβ-related genes regulated in murine osteoarthritis and chondrocyte hypertrophy by comparison of multiple microarray datasets Laurie M.G. de Kroon1,2,&, Guus G.H. van den Akker1,&, Bent Brachvogel3,4, Roberto Narcisi2, Daniele Belluoccio5, Florien Jenner6, John F. Bateman5, Christopher B. Little7, Pieter Brama8, Esmeralda N. Blaney Davidson1, Peter M. van der Kraan1, Gerjo J.V.M. van Osch2,9* 1Department of Rheumatology, Experimental Rheumatology, Radboud University Medical Center, Nijmegen, the Netherlands 2Department of Orthopedics, Erasmus MC University Medical Center, Rotterdam, the Netherlands 3Center for Biochemistry, Medical Faculty, University of Cologne, Cologne, Germany 4Department of Pediatrics and Adolescent Medicine, Experimental Neonatology, Medical Faculty, University of Cologne, Cologne, Germany 5Murdoch Childrens Research Institute, Royal Children’s Hospital, Parkville, Victoria, Australia 6Equine University Hospital, University of Veterinary Medicine, Vienna, Austria 7Raymond Purves Bone and Joint Research Laboratories, Kolling Institute of Medical Research, University of Sydney, St Leonards, New South Wales, Australia 8Veterinary Clinical Sciences, School of Veterinary Medicine, University College Dublin, Dublin, Ireland 9Department of Otorhinolaryngology, Erasmus MC University Medical Center, Rotterdam, the Netherlands &Both authors contributed equally *Corresponding author: Gerjo van Osch ([email protected]) Address for correspondence: Erasmus MC, Departments -
Hippo and Sonic Hedgehog Signalling Pathway Modulation of Human Urothelial Tissue Homeostasis
Hippo and Sonic Hedgehog signalling pathway modulation of human urothelial tissue homeostasis Thomas Crighton PhD University of York Department of Biology November 2020 Abstract The urinary tract is lined by a barrier-forming, mitotically-quiescent urothelium, which retains the ability to regenerate following injury. Regulation of tissue homeostasis by Hippo and Sonic Hedgehog signalling has previously been implicated in various mammalian epithelia, but limited evidence exists as to their role in adult human urothelial physiology. Focussing on the Hippo pathway, the aims of this thesis were to characterise expression of said pathways in urothelium, determine what role the pathways have in regulating urothelial phenotype, and investigate whether the pathways are implicated in muscle-invasive bladder cancer (MIBC). These aims were assessed using a cell culture paradigm of Normal Human Urothelial (NHU) cells that can be manipulated in vitro to represent different differentiated phenotypes, alongside MIBC cell lines and The Cancer Genome Atlas resource. Transcriptomic analysis of NHU cells identified a significant induction of VGLL1, a poorly understood regulator of Hippo signalling, in differentiated cells. Activation of upstream transcription factors PPARγ and GATA3 and/or blockade of active EGFR/RAS/RAF/MEK/ERK signalling were identified as mechanisms which induce VGLL1 expression in NHU cells. Ectopic overexpression of VGLL1 in undifferentiated NHU cells and MIBC cell line T24 resulted in significantly reduced proliferation. Conversely, knockdown of VGLL1 in differentiated NHU cells significantly reduced barrier tightness in an unwounded state, while inhibiting regeneration and increasing cell cycle activation in scratch-wounded cultures. A signalling pathway previously observed to be inhibited by VGLL1 function, YAP/TAZ, was unaffected by VGLL1 manipulation. -
Identifying Genetic Interactions Associated with Late-Onset
1 Identifying Genetic Interactions Associated with Late-Onset 2 Alzheimer’s Disease 3 Charalampos S. Floudas, M.D, Ph.D. 1§ , Nara Um, M.D, M.S. 1, M. Ilyas Kamboh, Ph.D. 2, 4 Michael M. Barmada, Ph.D. 2, Shyam Visweswaran, M.D, Ph.D. 1,3 5 6 1Department of Biomedical Informatics, University of Pittsburgh, Pittsburgh, PA, USA s t 7 2Department of Human Genetics, University of Pittsburgh, Pittsburgh, PA, USA n i r 8 3The Intelligent Systems Program, University of Pittsburgh, Pittsburgh, PA, USA P e r 9 P 10 §Corresponding author 11 12 13 14 15 16 17 Email addresses : 18 CSF: [email protected] 19 SV: [email protected] 20 1 PeerJ PrePrints | https://peerj.com/preprints/123v2/ | v2 received: 11 Dec 2013, published: 11 Dec 2013, doi: 10.7287/peerj.preprints.123v2 21 Abstract 22 Background 23 Identifying genetic interactions in data obtained from genome-wide association studies (GWASs) 24 can help in understanding the genetic basis of complex diseases. The large number of single 25 nucleotide polymorphisms (SNPs) in GWASs however makes the identification of genetic 26 interactions computationally challenging. We developed the Bayesian Combinatorial Method s t n 27 (BCM) that can identify pairs of SNPs that in combination have high statistical association with i r P 28 disease. e r 29 Results P 30 We applied BCM to two late-onset Alzheimer’s disease (LOAD) GWAS datasets to identify 31 SNP-SNP interactions between a set of known SNP associations and the dataset SNPs. For 32 evaluation we compared our results with those from logistic regression, as implemented in 33 PLINK. -
Depression-Associated Gene Negr1-Fgfr2 Pathway Is Altered by Antidepressant Treatment
cells Article Depression-Associated Gene Negr1-Fgfr2 Pathway Is Altered by Antidepressant Treatment Lucia Carboni 1,* , Francesca Pischedda 2, Giovanni Piccoli 2, Mario Lauria 3,4 , Laura Musazzi 5 , Maurizio Popoli 6, Aleksander A. Mathé 7 and Enrico Domenici 2,4 1 Department of Pharmacy and Biotechnology, Alma Mater Studiorum Università di Bologna, 40126 Bologna, Italy 2 Department of Cellular, Computational and Integrative Biology, University of Trento, 38123 Trento, Italy; [email protected] (F.P.); [email protected] (G.P.); [email protected] (E.D.) 3 Department of Mathematics, University of Trento, 38123 Trento, Italy; [email protected] 4 Fondazione The Microsoft Research—University of Trento Centre for Computational and Systems Biology (COSBI), 38068 Rovereto (Trento), Italy 5 School of Medicine and Surgery, University of Milano-Bicocca, 20900 Monza, Italy; [email protected] 6 Laboratory of Neuropsychopharmacology and Functional Neurogenomics, Dipartimento di Scienze Farmaceutiche, Università degli Studi di Milano, 20133 Milano, Italy; [email protected] 7 Karolinska Institutet, Department of Clinical Neuroscience, SE-11221 Stockholm, Sweden; [email protected] * Correspondence: [email protected]; Tel.: +39-051-209-1793 Received: 30 June 2020; Accepted: 28 July 2020; Published: 31 July 2020 Abstract: The Negr1 gene has been significantly associated with major depression in genetic studies. Negr1 encodes for a cell adhesion molecule cleaved by the protease Adam10, thus activating Fgfr2 and promoting neuronal spine plasticity. We investigated whether antidepressants modulate the expression of genes belonging to Negr1-Fgfr2 pathway in Flinders sensitive line (FSL) rats, in a corticosterone-treated mouse model of depression, and in mouse primary neurons. -
Genome-Wide Homozygosity Patterns and Evidence for Selection in a Set of European and Near Eastern Horse Breeds
Article Genome-Wide Homozygosity Patterns and Evidence for Selection in a Set of European and Near Eastern Horse Breeds Gertrud Grilz-Seger 1,*, Markus Neuditschko 2, Anne Ricard 3, Brandon Velie 4,5, Gabriella Lindgren 4,6,, Matjaz Mesarič 7, Marko Cotman 8, Michaela Horna 9, Max Dobretsberger 1, Gottfried Brem 1 and Thomas Druml 1 1 Institute of Animal Breeding and Genetics, University of Veterinary Sciences Vienna, Veterinärplatz 1, 1210 Vienna, Austria; [email protected] (M.D.); [email protected] (G.B.); [email protected] (T.D.) 2 Agroscope, Swiss National Stud Farm, Les Longs Prés, CH-1580 Avenches, Switzerland; [email protected] 3 UMR 1313 Génétique Animale et Biologie Intégrative, Institut National de la Recherche Agronomique, Domaine de Vilvert, Bat 211, 78352 Jouy-en-Josas, France; [email protected] 4 Department of Animal Breeding & Genetics, Swedish University of Agricultural Sciences, Ulls väg 26, 750 07 Uppsala, Sweden; [email protected] (B.V.); [email protected] (G.L.) 5 School of Life and Environmental Sciences, University of Sydney, Eastern Ave, 2006 NSW Sydney, Australia 6 Livestock Genetics, Department of Biosystems, KU Leuven, 3001 Leuven, Belgium 7 Clinic for Reproduction and Large Animals, University of Ljubljana, Veterinary, Faculty, Cesta v Mestni log 47, 1000 Ljubljana, Slovenia; [email protected] 8 Institute for Preclinical Sciences, University of Ljubljana, Veterinary Faculty, Gerbičeva 60, 1000 Ljubljana, Slovenia; [email protected] 9 Department of Animal Husbandry, Slovak University of Agriculture in Nitra, Tr. A. Hlinku 2, 949 76 Nitra, Slovakia; [email protected] * Correspondence: [email protected] Received: 14 May 2019; Accepted: 26 June 2019; Published: 28 June 2019 Abstract: Intensive artificial and natural selection have shaped substantial variation among European horse breeds. -
Orbitofrontal Neuroadaptations and Cross-Species Synaptic Biomarkers in Heavy-Drinking Macaques
3646 • The Journal of Neuroscience, March 29, 2017 • 37(13):3646–3660 Neurobiology of Disease Orbitofrontal Neuroadaptations and Cross-Species Synaptic Biomarkers in Heavy-Drinking Macaques X Sudarat Nimitvilai,1* Joachim D. Uys,2* John J. Woodward,1,3 Patrick K. Randall,3 Lauren E. Ball,2 X Robert W. Williams,4 XByron C. Jones,4 X Lu Lu,4 X Kathleen A. Grant,5 and Patrick J. Mulholland1,3 Departments of 1Neuroscience, 2Cell and Molecular Pharmacology, and 3Psychiatry and Behavioral Sciences, Medical University of South Carolina, Charleston, South Carolina 29425, 4Department of Genetics, Genomics and Informatics, University of Tennessee Health Science Center, Memphis, Tennessee 38120, and 5Department of Behavioral Neuroscience, Oregon Health and Science University, Portland, Oregon 97239 Cognitive impairments, uncontrolled drinking, and neuropathological cortical changes characterize alcohol use disorder. Dysfunction of the orbitofrontal cortex (OFC), a critical cortical subregion that controls learning, decision-making, and prediction of reward outcomes, contributes to executive cognitive function deficits in alcoholic individuals. Electrophysiological and quantitative synaptomics tech- niques were used to test the hypothesis that heavy drinking produces neuroadaptations in the macaque OFC. Integrative bioinformatics and reverse genetic approaches were used to identify and validate synaptic proteins with novel links to heavy drinking in BXD mice. In drinking monkeys, evoked firing of OFC pyramidal neurons was reduced, whereas the amplitude and frequency of postsynaptic currents were enhanced compared with controls. Bath application of alcohol reduced evoked firing in neurons from control monkeys, but not drinking monkeys. Profiling of the OFC synaptome identified alcohol-sensitive proteins that control glutamate release (e.g., SV2A, synaptogyrin-1) and postsynaptic signaling (e.g., GluA1, PRRT2) with no changes in synaptic GABAergic proteins. -
393LN V 393P 344SQ V 393P Probe Set Entrez Gene
393LN v 393P 344SQ v 393P Entrez fold fold probe set Gene Gene Symbol Gene cluster Gene Title p-value change p-value change chemokine (C-C motif) ligand 21b /// chemokine (C-C motif) ligand 21a /// chemokine (C-C motif) ligand 21c 1419426_s_at 18829 /// Ccl21b /// Ccl2 1 - up 393 LN only (leucine) 0.0047 9.199837 0.45212 6.847887 nuclear factor of activated T-cells, cytoplasmic, calcineurin- 1447085_s_at 18018 Nfatc1 1 - up 393 LN only dependent 1 0.009048 12.065 0.13718 4.81 RIKEN cDNA 1453647_at 78668 9530059J11Rik1 - up 393 LN only 9530059J11 gene 0.002208 5.482897 0.27642 3.45171 transient receptor potential cation channel, subfamily 1457164_at 277328 Trpa1 1 - up 393 LN only A, member 1 0.000111 9.180344 0.01771 3.048114 regulating synaptic membrane 1422809_at 116838 Rims2 1 - up 393 LN only exocytosis 2 0.001891 8.560424 0.13159 2.980501 glial cell line derived neurotrophic factor family receptor alpha 1433716_x_at 14586 Gfra2 1 - up 393 LN only 2 0.006868 30.88736 0.01066 2.811211 1446936_at --- --- 1 - up 393 LN only --- 0.007695 6.373955 0.11733 2.480287 zinc finger protein 1438742_at 320683 Zfp629 1 - up 393 LN only 629 0.002644 5.231855 0.38124 2.377016 phospholipase A2, 1426019_at 18786 Plaa 1 - up 393 LN only activating protein 0.008657 6.2364 0.12336 2.262117 1445314_at 14009 Etv1 1 - up 393 LN only ets variant gene 1 0.007224 3.643646 0.36434 2.01989 ciliary rootlet coiled- 1427338_at 230872 Crocc 1 - up 393 LN only coil, rootletin 0.002482 7.783242 0.49977 1.794171 expressed sequence 1436585_at 99463 BB182297 1 - up 393 -
Product Data Sheet
For research purposes only, not for human use Product Data Sheet Anti-Neurotrimin Antibody Catalog # Source Reactivity Applications CPA2656 Rabbit H, M, R WB, IH, IP Description Rabbit polyclonal antibody to Neurotrimin Immunogen KLH-conjugated synthetic peptide encompassing a sequence within the C-term region of human Neurotrimin. The exact sequence is proprietary. Purification The antibody was purified by immunogen affinity chromatography. Specificity Recognizes endogenous levels of Neurotrimin protein. Clonality Polyclonal Conjugation Form Liquid in 0.42% Potassium phosphate, 0.87% Sodium chloride, pH 7.3, 30% glycerol, and 0.01% sodium azide. Dilution WB (1/500 - 1/1000), IH (1/100 - 1/200), IP (1/10 - 1/100) Gene Symbol NTM Alternative Names IGLON2; NT; Neurotrimin; hNT; IgLON family member 2 Entrez Gene 50863 (Human) SwissProt Q9P121 (Human) Storage/Stability Shipped at 4 C. Upon delivery aliquot and store at -20 C for one year. Avoid freeze/thaw cycles. Application key: E- ELISA, WB- Western blot, IH- Immunohistochemistry, IF- Immunofluorescence, FC- Flow cytometry, IC- Immunocytochemistry, IP- Immunoprecipitation, ChIP- Chromatin Immunoprecipitation, EMSA- Electrophoretic Mobility Shift Assay, BL- Blocking, SE- Sandwich ELISA, CBE- Cell-based ELISA, RNAi- RNA interference Species reactivity key: H- Human, M- Mouse, R- Rat, B- Bovine, C- Chicken, D- Dog, G- Goat, Mk- Monkey, P- Pig, Rb- Rabbit, S- Sheep, Z- Zebrafish COHESION BIOSCIENCES LIMITED WEB ORDER SUPPORT CUSTOM www.cohesionbio.com [email protected] [email protected] [email protected] For research purposes only, not for human use Product Data Sheet Western blot analysis of Neurotrimin expression in HEK293T (A), HCT116 (B), CT26 (C), PC12 (D) whole cell lysates. -
Predict AID Targeting in Non-Ig Genes Multiple Transcription Factor
Downloaded from http://www.jimmunol.org/ by guest on September 26, 2021 is online at: average * The Journal of Immunology published online 20 March 2013 from submission to initial decision 4 weeks from acceptance to publication Multiple Transcription Factor Binding Sites Predict AID Targeting in Non-Ig Genes Jamie L. Duke, Man Liu, Gur Yaari, Ashraf M. Khalil, Mary M. Tomayko, Mark J. Shlomchik, David G. Schatz and Steven H. Kleinstein J Immunol http://www.jimmunol.org/content/early/2013/03/20/jimmun ol.1202547 Submit online. Every submission reviewed by practicing scientists ? is published twice each month by http://jimmunol.org/subscription Submit copyright permission requests at: http://www.aai.org/About/Publications/JI/copyright.html Receive free email-alerts when new articles cite this article. Sign up at: http://jimmunol.org/alerts http://www.jimmunol.org/content/suppl/2013/03/20/jimmunol.120254 7.DC1 Information about subscribing to The JI No Triage! Fast Publication! Rapid Reviews! 30 days* Why • • • Material Permissions Email Alerts Subscription Supplementary The Journal of Immunology The American Association of Immunologists, Inc., 1451 Rockville Pike, Suite 650, Rockville, MD 20852 Copyright © 2013 by The American Association of Immunologists, Inc. All rights reserved. Print ISSN: 0022-1767 Online ISSN: 1550-6606. This information is current as of September 26, 2021. Published March 20, 2013, doi:10.4049/jimmunol.1202547 The Journal of Immunology Multiple Transcription Factor Binding Sites Predict AID Targeting in Non-Ig Genes Jamie L. Duke,* Man Liu,†,1 Gur Yaari,‡ Ashraf M. Khalil,x Mary M. Tomayko,{ Mark J. Shlomchik,†,x David G.