Serglycin-Dependent Mast Cell-Specific Proteases and Their Potential Interactions with Giardia Intestinalis
Total Page:16
File Type:pdf, Size:1020Kb
Load more
Recommended publications
-
UC San Francisco Electronic Theses and Dissertations
UCSF UC San Francisco Electronic Theses and Dissertations Title Protease-activated receptor-2 (PAR2) in epithelial biology Permalink https://escholarship.org/uc/item/2b49z9sm Author Barker, Adrian Publication Date 2013 Peer reviewed|Thesis/dissertation eScholarship.org Powered by the California Digital Library University of California ii To my nephews for being the light of my life To my parents for showing me the way To Philip, your love knows no bounds iii ACKNOWLEDGEMENTS Wow, what a journey! First, I’d like to thank my mentor and advisor, Dr. Shaun Coughlin, for giving me the encouragement and wisdom that I needed to succeed in your lab. One thing I will take away from this experience is how powerful collaboration can be. Having encountered labs that have not been willing to collaborate, you are an inspiration and role-model in your willingness to share your resources and knowledge with the scientific community and the academic world is a better place because of it. To my thesis committee members, Dr. Charly Craik & Dr. Zena Werb. Thank you for the conversations and encouragement. You have given me motivation and kind words in pivotal moments in my career and they have helped me tremendously; more than you’ll ever know. To all the members of the Coughlin lab. We’ve been through so much together, and many of you have been around since the first day I stepped foot into the lab. Extra special thanks to: Dr. Hilary Clay, for help with the zebrafish work and for fighting for my project when it felt like no one else cared; Dr. -
Transcriptomic Profiles of High and Low Antibody Responders to Smallpox
Genes and Immunity (2013) 14, 277–285 & 2013 Macmillan Publishers Limited All rights reserved 1466-4879/13 www.nature.com/gene ORIGINAL ARTICLE Transcriptomic profiles of high and low antibody responders to smallpox vaccine RB Kennedy1,2, AL Oberg1,3, IG Ovsyannikova1,2, IH Haralambieva1,2, D Grill1,3 and GA Poland1,2 Despite its eradication over 30 years ago, smallpox (as well as other orthopox viruses) remains a pathogen of interest both in terms of biodefense and for its use as a vector for vaccines and immunotherapies. Here we describe the application of mRNA-Seq transcriptome profiling to understanding immune responses in smallpox vaccine recipients. Contrary to other studies examining gene expression in virally infected cell lines, we utilized a mixed population of peripheral blood mononuclear cells in order to capture the essential intercellular interactions that occur in vivo, and would otherwise be lost, using single cell lines or isolated primary cell subsets. In this mixed cell population we were able to detect expression of all annotated vaccinia genes. On the host side, a number of genes encoding cytokines, chemokines, complement factors and intracellular signaling molecules were downregulated upon viral infection, whereas genes encoding histone proteins and the interferon response were upregulated. We also identified a small number of genes that exhibited significantly different expression profiles in subjects with robust humoral immunity compared with those with weaker humoral responses. Our results provide evidence that differential gene regulation patterns may be at work in individuals with robust humoral immunity compared with those with weaker humoral immune responses. Genes and Immunity (2013) 14, 277–285; doi:10.1038/gene.2013.14; published online 18 April 2013 Keywords: Next-generation sequencing; mRNA-Seq; vaccinia virus; smallpox vaccine INTRODUCTION these 44 subjects had two samples (uninfected and vaccinia Vaccinia virus (VACV) is the immunologically cross-protective infected). -
Like Transmembrane Γ Evolved From
Mast Cell α and β Tryptases Changed Rapidly during Primate Speciation and Evolved from γ-Like Transmembrane Peptidases in Ancestral Vertebrates This information is current as of September 25, 2021. Neil N. Trivedi, Qiao Tong, Kavita Raman, Vikash J. Bhagwandin and George H. Caughey J Immunol 2007; 179:6072-6079; ; doi: 10.4049/jimmunol.179.9.6072 http://www.jimmunol.org/content/179/9/6072 Downloaded from References This article cites 34 articles, 15 of which you can access for free at: http://www.jimmunol.org/content/179/9/6072.full#ref-list-1 http://www.jimmunol.org/ Why The JI? Submit online. • Rapid Reviews! 30 days* from submission to initial decision • No Triage! Every submission reviewed by practicing scientists • Fast Publication! 4 weeks from acceptance to publication by guest on September 25, 2021 *average Subscription Information about subscribing to The Journal of Immunology is online at: http://jimmunol.org/subscription Permissions Submit copyright permission requests at: http://www.aai.org/About/Publications/JI/copyright.html Email Alerts Receive free email-alerts when new articles cite this article. Sign up at: http://jimmunol.org/alerts The Journal of Immunology is published twice each month by The American Association of Immunologists, Inc., 1451 Rockville Pike, Suite 650, Rockville, MD 20852 Copyright © 2007 by The American Association of Immunologists All rights reserved. Print ISSN: 0022-1767 Online ISSN: 1550-6606. The Journal of Immunology Mast Cell ␣ and  Tryptases Changed Rapidly during Primate Speciation and Evolved from ␥-Like Transmembrane Peptidases in Ancestral Vertebrates1 Neil N. Trivedi, Qiao Tong, Kavita Raman, Vikash J. Bhagwandin, and George H. -
Development and Validation of a Protein-Based Risk Score for Cardiovascular Outcomes Among Patients with Stable Coronary Heart Disease
Supplementary Online Content Ganz P, Heidecker B, Hveem K, et al. Development and validation of a protein-based risk score for cardiovascular outcomes among patients with stable coronary heart disease. JAMA. doi: 10.1001/jama.2016.5951 eTable 1. List of 1130 Proteins Measured by Somalogic’s Modified Aptamer-Based Proteomic Assay eTable 2. Coefficients for Weibull Recalibration Model Applied to 9-Protein Model eFigure 1. Median Protein Levels in Derivation and Validation Cohort eTable 3. Coefficients for the Recalibration Model Applied to Refit Framingham eFigure 2. Calibration Plots for the Refit Framingham Model eTable 4. List of 200 Proteins Associated With the Risk of MI, Stroke, Heart Failure, and Death eFigure 3. Hazard Ratios of Lasso Selected Proteins for Primary End Point of MI, Stroke, Heart Failure, and Death eFigure 4. 9-Protein Prognostic Model Hazard Ratios Adjusted for Framingham Variables eFigure 5. 9-Protein Risk Scores by Event Type This supplementary material has been provided by the authors to give readers additional information about their work. Downloaded From: https://jamanetwork.com/ on 10/02/2021 Supplemental Material Table of Contents 1 Study Design and Data Processing ......................................................................................................... 3 2 Table of 1130 Proteins Measured .......................................................................................................... 4 3 Variable Selection and Statistical Modeling ........................................................................................ -
Downloaded 18 July 2014 with a 1% False Discovery Rate (FDR)
UC Berkeley UC Berkeley Electronic Theses and Dissertations Title Chemical glycoproteomics for identification and discovery of glycoprotein alterations in human cancer Permalink https://escholarship.org/uc/item/0t47b9ws Author Spiciarich, David Publication Date 2017 Peer reviewed|Thesis/dissertation eScholarship.org Powered by the California Digital Library University of California Chemical glycoproteomics for identification and discovery of glycoprotein alterations in human cancer by David Spiciarich A dissertation submitted in partial satisfaction of the requirements for the degree Doctor of Philosophy in Chemistry in the Graduate Division of the University of California, Berkeley Committee in charge: Professor Carolyn R. Bertozzi, Co-Chair Professor David E. Wemmer, Co-Chair Professor Matthew B. Francis Professor Amy E. Herr Fall 2017 Chemical glycoproteomics for identification and discovery of glycoprotein alterations in human cancer © 2017 by David Spiciarich Abstract Chemical glycoproteomics for identification and discovery of glycoprotein alterations in human cancer by David Spiciarich Doctor of Philosophy in Chemistry University of California, Berkeley Professor Carolyn R. Bertozzi, Co-Chair Professor David E. Wemmer, Co-Chair Changes in glycosylation have long been appreciated to be part of the cancer phenotype; sialylated glycans are found at elevated levels on many types of cancer and have been implicated in disease progression. However, the specific glycoproteins that contribute to cell surface sialylation are not well characterized, specifically in bona fide human cancer. Metabolic and bioorthogonal labeling methods have previously enabled enrichment and identification of sialoglycoproteins from cultured cells and model organisms. The goal of this work was to develop technologies that can be used for detecting changes in glycoproteins in clinical models of human cancer. -
Supplementary Table 1: Differentially Methylated Genes and Functions of the Genes Before/After Treatment with A) Doxorubicin and B) FUMI and in C) Responders Vs
Supplementary Table 1: Differentially methylated genes and functions of the genes before/after treatment with a) doxorubicin and b) FUMI and in c) responders vs. non- responders for doxorubicin and d) FUMI Differentially methylated genes before/after treatment a. Doxo GENE FUNCTION CCL5, CCL8, CCL15, CCL21, CCR1, CD33, IL5, immunoregulatory and inflammatory processes IL8, IL24, IL26, TNFSF11 CCNA1, CCND2, CDKN2A cell cycle regulators ESR1, FGF2, FGF14, FGF18 growth factors WT1, RASSF5, RASSF6 tumor suppressor b. FUMI GENE FUNCTION CCL7, CCL15, CD28, CD33, CD40, CD69, TNFSF18 immunoregulatory and inflammatory processes CCND2, CDKN2A cell cycle regulators IGF2BP1, IGFBP3 growth factors HOXB4, HOXB6, HOXC8 regulation of cell transcription WT1, RASSF6 tumor suppressor Differentially methylated genes in responders vs. non-responders c. Doxo GENE FUNCTION CBR1, CCL4, CCL8, CCR1, CCR7, CD1A, CD1B, immunoregulatory and inflammatory processes CD1D, CD1E, CD33, CD40, IL5, IL8, IL20, IL22, TLR4 CCNA1, CCND2, CDKN2A cell cycle regulators ESR2, ERBB3, FGF11, FGF12, FGF14, FGF17 growth factors WNT4, WNT16, WNT10A implicated in oncogenesis TNFSF12, TNFSF15 apoptosis FOXL1, FOXL2, FOSL1,HOXA2, HOXA7, HOXA11, HOXA13, HOXB4, HOXB6, HOXB8, HOXB9, HOXC8, regulation of cell transcription HOXD8, HOXD9, HOXD11 GSTP1, MGMT DNA repair APC, WT1 tumor suppressor d. FUMI GENE FUNCTION CCL1, CCL3, CCL5,CCL14, CD1B, CD33, CD40, CD69, immunoregulatory and inflammatory IL20, IL32 processes CCNA1, CCND2, CDKN2A cell cycle regulators IGF2BP1, IGFBP3, IGFBP7, EGFR, ESR2,RARB2 -
Human Tryptase Γ‑1/TPSG1 Antibody Antigen Affinity-Purified Polyclonal Goat Igg Catalog Number: AF1667
Human Tryptase γ‑1/TPSG1 Antibody Antigen Affinity-purified Polyclonal Goat IgG Catalog Number: AF1667 DESCRIPTION Species Reactivity Human Specificity Detects human Tryptase γ-1/TPSG1 in direct ELISAs and Western blots. Source Polyclonal Goat IgG Purification Antigen Affinity-purified Immunogen Mouse myeloma cell line NS0-derived recombinant human Tryptase γ‑1/TPSG1 Arg20-Arg281 Accession # Q9NRR2 Formulation Lyophilized from a 0.2 μm filtered solution in PBS with Trehalose. See Certificate of Analysis for details. *Small pack size (-SP) is supplied either lyophilized or as a 0.2 μm filtered solution in PBS. APPLICATIONS Please Note: Optimal dilutions should be determined by each laboratory for each application. General Protocols are available in the Technical Information section on our website. Recommended Sample Concentration Western Blot 0.1 µg/mL Recombinant Human Tryptase γ‑1/TPSG1 (Catalog # 1667-SE) Immunoprecipitation 25 µg/mL Conditioned cell culture medium spiked with Recombinant Human Tryptase γ‑1/TPSG1 (Catalog # 1667-SE), see our available Western blot detection antibodies PREPARATION AND STORAGE Reconstitution Reconstitute at 0.2 mg/mL in sterile PBS. Shipping The product is shipped at ambient temperature. Upon receipt, store it immediately at the temperature recommended below. *Small pack size (-SP) is shipped with polar packs. Upon receipt, store it immediately at -20 to -70 °C Stability & Storage Use a manual defrost freezer and avoid repeated freeze-thaw cycles. 12 months from date of receipt, -20 to -70 °C as supplied. 1 month, 2 to 8 °C under sterile conditions after reconstitution. 6 months, -20 to -70 °C under sterile conditions after reconstitution. -
Human Kallikrein 5 Quantikine
Quantikine® ELISA Human Kallikrein 5 Immunoassay Catalog Number DKK500 For the quantitative determination of human Kallikrein 5 (KLK5) concentrations in cell culture supernates, serum, plasma, saliva, and human milk. This package insert must be read in its entirety before using this product. For research use only. Not for use in diagnostic procedures. TABLE OF CONTENTS SECTION PAGE INTRODUCTION .....................................................................................................................................................................1 PRINCIPLE OF THE ASSAY ...................................................................................................................................................2 LIMITATIONS OF THE PROCEDURE .................................................................................................................................2 TECHNICAL HINTS .................................................................................................................................................................2 MATERIALS PROVIDED & STORAGE CONDITIONS ...................................................................................................3 OTHER SUPPLIES REQUIRED .............................................................................................................................................3 PRECAUTIONS .........................................................................................................................................................................4 -
Molecular Mechanisms Underlying Toxicant Effects on Mast Cell Signaling and Mitochondria Juyoung Katherine Shim University of Maine, [email protected]
The University of Maine DigitalCommons@UMaine Electronic Theses and Dissertations Fogler Library Summer 8-17-2018 Molecular Mechanisms Underlying Toxicant Effects on Mast Cell Signaling and Mitochondria Juyoung Katherine Shim University of Maine, [email protected] Follow this and additional works at: https://digitalcommons.library.umaine.edu/etd Part of the Molecular Biology Commons, and the Toxicology Commons Recommended Citation Shim, Juyoung Katherine, "Molecular Mechanisms Underlying Toxicant Effects on Mast Cell Signaling and Mitochondria" (2018). Electronic Theses and Dissertations. 2909. https://digitalcommons.library.umaine.edu/etd/2909 This Open-Access Thesis is brought to you for free and open access by DigitalCommons@UMaine. It has been accepted for inclusion in Electronic Theses and Dissertations by an authorized administrator of DigitalCommons@UMaine. For more information, please contact [email protected]. MOLECULAR MECHANISMS UNDERLYING TOXICANT EFFECTS ON MAST CELL SIGNALING AND MITOCHONDRIA By Juyoung K. Shim B.A. Hankook University of Foreign Studies, 1994 B.S. Bates College, 2005 A DISSERTATION Submitted in Partial Fulfillment of the Requirements for the Degree of Doctor of Philosophy (in Biochemistry and Molecular Biology) The Graduate School The University of Maine August 2018 Advisory Committee: Julie A. Gosse, Associate Professor of Biochemistry; Advisor John T. Singer, Professor of Microbiology Paul J. Millard, Associate Professor of Chemical and Biological Engineering Rebecca J. Van Beneden, Professor of Biochemistry and Marine Sciences, Director for School of Marine Sciences Robert E. Gundersen, Chair of Molecular and Biomedical Sciences © 2018 Juyoung Katherine Shim All Rights Reserved ii MOLECULAR MECHANISMS UNDERLYING TOXICANT EFFECTS ON MAST CELL SIGNALING AND MITOCHONDRIA By Juyoung K. -
C:\Users\Administrator\Desktop\Array Datasheet\Disease Gene Array
Product Data Sheet ExProfileTM Human Proteases Related Gene qPCR Array For focused group profiling of human proteases genes expression Cat. No. QG096-A (6 x 96-well plate, Format A) Cat. No. QG096-B (6 x 96-well plate, Format B) Cat. No. QG096-C (6 x 96-well plate, Format C) Cat. No. QG096-D (6 x 96-well plate, Format D) Cat. No. QG096-E (6 x 96-well plate, Format E) Plates available individually or as a set of 6. Each set contains 504 unique gene primer pairs deposited in one 96-well plate. Introduction The ExProfile human proteases related gene qPCR array profiles the expression of 504 human genes related to proteases. These genes are carefully chosen for their close correlation based on a thorough literature search of peer-reviewed publications, mainly including genes that encode various proteases. This array allows researchers to study the related genes to gain understanding of their roles in the functioning and characterization of proteases. QG096 plate 01: 84 unique gene PCR primer pairs QG096 plate 02: 84 unique gene PCR primer pairs QG096 plate 03: 84 unique gene PCR primer pairs QG096 plate 04: 84 unique gene PCR primer pairs QG096 plate 05: 84 unique gene PCR primer pairs QG096 plate 06: 84 unique gene PCR primer pairs Shipping and storage condition Shipped at room temperate Stable for at least 6 months when stored at -20°C Array format GeneCopoeia provides five qPCR array formats (A, B, C, D, and E) suitable for use with the following real- time cyclers. -
The Emerging Role of Mast Cell Proteases in Asthma
REVIEW ASTHMA The emerging role of mast cell proteases in asthma Gunnar Pejler1,2 Affiliations: 1Dept of Medical Biochemistry and Microbiology, Uppsala University, Uppsala, Sweden. 2Dept of Anatomy, Physiology and Biochemistry, Swedish University of Agricultural Sciences, Uppsala, Sweden. Correspondence: Gunnar Pejler, Dept of Medical Biochemistry and Microbiology, BMC, Uppsala University, Box 582, 75123 Uppsala, Sweden. E-mail: [email protected] @ERSpublications Mast cells express large amounts of proteases, including tryptase, chymase and carboxypeptidase A3. An extensive review of how these proteases impact on asthma shows that they can have both protective and detrimental functions. http://bit.ly/2Gu1Qp2 Cite this article as: Pejler G. The emerging role of mast cell proteases in asthma. Eur Respir J 2019; 54: 1900685 [https://doi.org/10.1183/13993003.00685-2019]. ABSTRACT It is now well established that mast cells (MCs) play a crucial role in asthma. This is supported by multiple lines of evidence, including both clinical studies and studies on MC-deficient mice. However, there is still only limited knowledge of the exact effector mechanism(s) by which MCs influence asthma pathology. MCs contain large amounts of secretory granules, which are filled with a variety of bioactive compounds including histamine, cytokines, lysosomal hydrolases, serglycin proteoglycans and a number of MC-restricted proteases. When MCs are activated, e.g. in response to IgE receptor cross- linking, the contents of their granules are released to the exterior and can cause a massive inflammatory reaction. The MC-restricted proteases include tryptases, chymases and carboxypeptidase A3, and these are expressed and stored at remarkably high levels. -
TPSG1 Polyclonal Antibody
PRODUCT DATA SHEET Bioworld Technology,Inc. TPSG1 polyclonal antibody Catalog: BS61326 Host: Rabbit Reactivity: Human,Mouse,Rat BackGround: by affinity-chromatography using epitope-specific im- Tryptases comprise a family of trypsin-like serine prote- munogen and the purity is > 95% (by SDS-PAGE). ases, the peptidase family S1. Tryptases are enzymatically Applications: active only as heparin-stabilized tetramers, and they are WB: 1:500~1:1000 resistant to all known endogenous proteinase inhibitors. Storage&Stability: Several tryptase genes are clustered on chromosome Store at 4°C short term. Aliquot and store at -25°C long 16p13.3. There is uncertainty regarding the number of term. Avoid freeze-thaw cycles. genes in this cluster. Currently four functional genes - al- Specificity: pha I, beta I, beta II and gamma I - have been identified. TPSG1 polyclonal antibody detects endogenous levels of And beta I has an allelic variant named alpha II, beta II TPSG1 protein. has an allelic variant beta III, also gamma I has an allelic DATA: variant gamma II. Beta tryptases appear to be the main isoenzymes expressed in mast cells; whereas in basophils, alpha-tryptases predominant. This gene differs from other members of the tryptase gene family in that it has C-terminal hydrophobic domain, which may serve as a membrane anchor. Tryptases have been implicated as me- diators in the pathogenesis of asthma and other allergic and inflammatory disorders. Western blot (WB) analysis of TPSG1 polyclonal antibody at 1:500 di- Product: lution Lane1:HEK293T whole cell lysate Rabbit IgG, 1mg/ml in PBS with 0.02% sodium azide, Lane2:RAW264.7 whole cell lysate Lane3:PC12 whole cell lysate 50% glycerol, pH7.2 Note: Molecular Weight: For research use only, not for use in diagnostic procedure.