Targeting Costimulatory Molecules in Autoimmune Disease
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Immuno-Oncology Panel 1
Immuno-Oncology panel 1 Gene Symbol Target protein name UniProt ID (& link) Modification* (56 analytes) ADA17 ADAM17 metalloprotease domain 17 P78536 *blanks mean the assay detects the ANXA1 Annexin A1 P04083 non-modified peptide sequence ANXA1 Annexin A1 P04083 ARG2 arginase, type II P78540 ATM Serine-protein kinase ATM, Ataxia telangiectasia mutated Q13315 pS2996 ATM Serine-protein kinase ATM, Ataxia telangiectasia mutated Q13315 ATM Serine-protein kinase ATM, Ataxia telangiectasia mutated Q13315 pS367 ATM Serine-protein kinase ATM, Ataxia telangiectasia mutated Q13315 C10orf54 / VISTA chromosome 10 open reading frame 54 Q9H7M9 CCL5 C-C motif chemokine ligand 5 P13501 CD14 CD14 molecule P08571 CD163 CD163 molecule Q86VB7 CD274 / PDL1 Programmed cell death 1 ligand 1 CD274 Q9NZQ7 CD33 CD33 molecule P20138 CD40/TNR5 tumor necrosis factor receptor superfamily member 5 P25942 CD40/TNR5 tumor necrosis factor receptor superfamily member 5 P25942 CD47 CD47 molecule Q08722 CD70 CD70 antigen P32970 CD74/HG2A CD74 molecule, major histocompatibility complex, class II invariant chain Q8SNA0 CEACAM8 carcinoembryonic antigen-related cell adhesion molecule 8 P31997 CX3CL1 C-X3-C motif chemokine ligand 1 P78423 CXCL10 C-X-C motif chemokine ligand 10 P02778 CXCL13 chemokine (C-X-C motif) ligand 13 O43927 ENTPD1 ectonucleoside triphosphate diphosphohydrolase 1 Q86VV3 FAS/TNR6 Fas (TNF receptor superfamily, member 6) P25445 pY291 FAS/TNR6 Fas (TNF receptor superfamily, member 6) P25445 GAPDH Glyceraldehyde-3-phosphate dehydrogenase P04406 HAVCR2 hepatitis -
Human and Mouse CD Marker Handbook Human and Mouse CD Marker Key Markers - Human Key Markers - Mouse
Welcome to More Choice CD Marker Handbook For more information, please visit: Human bdbiosciences.com/eu/go/humancdmarkers Mouse bdbiosciences.com/eu/go/mousecdmarkers Human and Mouse CD Marker Handbook Human and Mouse CD Marker Key Markers - Human Key Markers - Mouse CD3 CD3 CD (cluster of differentiation) molecules are cell surface markers T Cell CD4 CD4 useful for the identification and characterization of leukocytes. The CD CD8 CD8 nomenclature was developed and is maintained through the HLDA (Human Leukocyte Differentiation Antigens) workshop started in 1982. CD45R/B220 CD19 CD19 The goal is to provide standardization of monoclonal antibodies to B Cell CD20 CD22 (B cell activation marker) human antigens across laboratories. To characterize or “workshop” the antibodies, multiple laboratories carry out blind analyses of antibodies. These results independently validate antibody specificity. CD11c CD11c Dendritic Cell CD123 CD123 While the CD nomenclature has been developed for use with human antigens, it is applied to corresponding mouse antigens as well as antigens from other species. However, the mouse and other species NK Cell CD56 CD335 (NKp46) antibodies are not tested by HLDA. Human CD markers were reviewed by the HLDA. New CD markers Stem Cell/ CD34 CD34 were established at the HLDA9 meeting held in Barcelona in 2010. For Precursor hematopoetic stem cell only hematopoetic stem cell only additional information and CD markers please visit www.hcdm.org. Macrophage/ CD14 CD11b/ Mac-1 Monocyte CD33 Ly-71 (F4/80) CD66b Granulocyte CD66b Gr-1/Ly6G Ly6C CD41 CD41 CD61 (Integrin b3) CD61 Platelet CD9 CD62 CD62P (activated platelets) CD235a CD235a Erythrocyte Ter-119 CD146 MECA-32 CD106 CD146 Endothelial Cell CD31 CD62E (activated endothelial cells) Epithelial Cell CD236 CD326 (EPCAM1) For Research Use Only. -
M.Tech. BT ( R14 Regulations)
M.Tech. BT ( R14 Regulations) CMR COLLEGE OF ENGINEERING & TECHNOLOGY (An Autonomous Institution) ACADEMIC REGULATIONS FOR M. TECH. (REGULAR) DEGREE COURSE Applicable for the students of M. Tech. (Regular) Course from the Academic Year 2014-15 and onwards The M. Tech. degree shall be conferred on candidates who are admitted to the program and who fulfil all the requirements for the award of the degree. 1.0 Eligibility for Admissions Admission to the above program shall be made subject to eligibility, qualification and specialization as prescribed by the State Government from time to time. 2.0 Award of M. Tech. degree 2.1 A student shall be declared eligible for the award of the M. Tech. Degree, if he pursues a course of study in not less than two and not more than four academic years. 2.2 A student, who fails to fulfill all the academic requirements for the award of the degree within four academic years from the year of his admission, shall forfeit his seat in M. Tech. course. 2.3 The student shall register for all 88 credits and secure all the 88 credits. 2.4 The minimum instruction days in each semester are 90. 2.5 The medium of instruction and examination shall be English. 3.0 A. Courses of Study The following specializations are offered at present for the M. Tech. course of study. 1. Bio-Technology 2. Embedded Systems 3. Power Electronics 4. Structural Engineering 5. Computer Science & Engineering 6. Machine Design and any other course as approved by the College/ University/AICTE from time to time. -
Predictive QSAR Tools to Aid in Early Process Development of Monoclonal Antibodies
Predictive QSAR tools to aid in early process development of monoclonal antibodies John Micael Andreas Karlberg Published work submitted to Newcastle University for the degree of Doctor of Philosophy in the School of Engineering November 2019 Abstract Monoclonal antibodies (mAbs) have become one of the fastest growing markets for diagnostic and therapeutic treatments over the last 30 years with a global sales revenue around $89 billion reported in 2017. A popular framework widely used in pharmaceutical industries for designing manufacturing processes for mAbs is Quality by Design (QbD) due to providing a structured and systematic approach in investigation and screening process parameters that might influence the product quality. However, due to the large number of product quality attributes (CQAs) and process parameters that exist in an mAb process platform, extensive investigation is needed to characterise their impact on the product quality which makes the process development costly and time consuming. There is thus an urgent need for methods and tools that can be used for early risk-based selection of critical product properties and process factors to reduce the number of potential factors that have to be investigated, thereby aiding in speeding up the process development and reduce costs. In this study, a framework for predictive model development based on Quantitative Structure- Activity Relationship (QSAR) modelling was developed to link structural features and properties of mAbs to Hydrophobic Interaction Chromatography (HIC) retention times and expressed mAb yield from HEK cells. Model development was based on a structured approach for incremental model refinement and evaluation that aided in increasing model performance until becoming acceptable in accordance to the OECD guidelines for QSAR models. -
LAG-3-Expressing Tumor-Infiltrating T Cells Are Associated with Reduced
cancers Article LAG-3-Expressing Tumor-Infiltrating T Cells Are Associated with Reduced Disease-Free Survival in Pancreatic Cancer Lena Seifert 1,2,3,†, Ioana Plesca 4,†, Luise Müller 4, Ulrich Sommer 5, Max Heiduk 1,2, Janusz von Renesse 1, David Digomann 1, Jessica Glück 1, Anna Klimova 6,7, Jürgen Weitz 1,2,3, Marc Schmitz 2,3,4 and Adrian M. Seifert 1,2,3,* 1 Department of Visceral, Thoracic and Vascular Surgery, University Hospital Carl Gustav Carus, TU Dresden, 01307 Dresden, Germany; [email protected] (L.S.); [email protected] (M.H.); [email protected] (J.v.R.); [email protected] (D.D.); [email protected] (J.G.); [email protected] (J.W.) 2 National Center for Tumor Diseases (NCT), Partner Site Dresden, 69120 Heidelberg, Germany; [email protected] 3 German Cancer Consortium (DKTK), Partner Site Dresden, German Cancer Research Center (DKFZ), 69120 Heidelberg, Germany 4 Faculty of Medicine Carl Gustav Carus, Institute of Immunology, TU Dresden, 01307 Dresden, Germany; [email protected] (I.P.); [email protected] (L.M.) 5 Faculty of Medicine Carl Gustav Carus, Institute of Pathology, TU Dresden, 01307 Dresden, Germany; [email protected] 6 Faculty of Medicine Carl Gustav Carus, Institute for Medical Informatics and Biometry, TU Dresden, 01307 Dresden, Germany; [email protected] 7 National Center for Tumor Diseases (NCT), Core Unit for Data Management and Analytics (CDMA), Citation: Seifert, L.; Plesca, I.; Müller, 01307 Dresden, Germany L.; Sommer, U.; Heiduk, M.; von * Correspondence: [email protected] Renesse, J.; Digomann, D.; Glück, J.; † These authors have contributed equally to this work. -
Effector CD4 T-Cell Transition to Memory Requires Late Cognate Interactions That Induce Autocrine IL-2
ARTICLE Received 3 Jun 2014 | Accepted 24 Sep 2014 | Published 5 Nov 2014 DOI: 10.1038/ncomms6377 Effector CD4 T-cell transition to memory requires late cognate interactions that induce autocrine IL-2 K. Kai McKinstry1,*, Tara M. Strutt1,*, Bianca Bautista1, Wenliang Zhang1, Yi Kuang1, Andrea M. Cooper2 & Susan L. Swain1 It is unclear how CD4 T-cell memory formation is regulated following pathogen challenge, and when critical mechanisms act to determine effector T-cell fate. Here, we report that following influenza infection most effectors require signals from major histocompatibility complex class II molecules and CD70 during a late window well after initial priming to become memory. During this timeframe, effector cells must produce IL-2 or be exposed to high levels of paracrine or exogenously added IL-2 to survive an otherwise rapid default contraction phase. Late IL-2 promotes survival through acute downregulation of apoptotic pathways in effector T cells and by permanently upregulating their IL-7 receptor expression, enabling IL-7 to sustain them as memory T cells. This new paradigm defines a late checkpoint during the effector phase at which cognate interactions direct CD4 T-cell memory generation. 1 Department of Pathology, University of Massachusetts Medical School, 55 Lake Avenue North, Worcester, Massachusetts 01655, USA. 2 Trudeau Institute, 154 Algonquin Avenue, Saranac Lake, New York 12983, USA. * These authors contributed equally to this work. Correspondence and requests for materials should be addressed to K.K.M. (email: [email protected]). NATURE COMMUNICATIONS | 5:5377 | DOI: 10.1038/ncomms6377 | www.nature.com/naturecommunications 1 & 2014 Macmillan Publishers Limited. -
Cells Promote Survival and Differentiation of B Up-Regulated In
Expression of the Adaptor Protein Hematopoietic Src Homology 2 is Up-Regulated in Response to Stimuli That Promote Survival and Differentiation of B This information is current as Cells of September 28, 2021. Brantley R. Herrin and Louis B. Justement J Immunol 2006; 176:4163-4172; ; doi: 10.4049/jimmunol.176.7.4163 http://www.jimmunol.org/content/176/7/4163 Downloaded from References This article cites 48 articles, 23 of which you can access for free at: http://www.jimmunol.org/content/176/7/4163.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 28, 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 © 2006 by The American Association of Immunologists All rights reserved. Print ISSN: 0022-1767 Online ISSN: 1550-6606. The Journal of Immunology Expression of the Adaptor Protein Hematopoietic Src Homology 2 is Up-Regulated in Response to Stimuli That Promote Survival and Differentiation of B Cells Brantley R. Herrin and Louis B. Justement1 Analysis of hematopoietic Src homology 2 (HSH2) protein expression in mouse immune cells demonstrated that it is expressed at low levels in resting B cells but not T cells or macrophages. -
Antagonist Antibodies Against Various Forms of BAFF: Trimer, 60-Mer, and Membrane-Bound S
Supplemental material to this article can be found at: http://jpet.aspetjournals.org/content/suppl/2016/07/19/jpet.116.236075.DC1 1521-0103/359/1/37–44$25.00 http://dx.doi.org/10.1124/jpet.116.236075 THE JOURNAL OF PHARMACOLOGY AND EXPERIMENTAL THERAPEUTICS J Pharmacol Exp Ther 359:37–44, October 2016 Copyright ª 2016 by The American Society for Pharmacology and Experimental Therapeutics Unexpected Potency Differences between B-Cell–Activating Factor (BAFF) Antagonist Antibodies against Various Forms of BAFF: Trimer, 60-Mer, and Membrane-Bound s Amy M. Nicoletti, Cynthia Hess Kenny, Ashraf M. Khalil, Qi Pan, Kerry L. M. Ralph, Julie Ritchie, Sathyadevi Venkataramani, David H. Presky, Scott M. DeWire, and Scott R. Brodeur Immune Modulation and Biotherapeutics Discovery, Boehringer Ingelheim Pharmaceuticals, Inc., Ridgefield, Connecticut Received June 20, 2016; accepted July 18, 2016 Downloaded from ABSTRACT Therapeutic agents antagonizing B-cell–activating factor/B- human B-cell proliferation assay and in nuclear factor kB reporter lymphocyte stimulator (BAFF/BLyS) are currently in clinical assay systems in Chinese hamster ovary cells expressing BAFF development for autoimmune diseases; belimumab is the first receptors and transmembrane activator and calcium-modulator Food and Drug Administration–approved drug in more than and cyclophilin ligand interactor (TACI). In contrast to the mouse jpet.aspetjournals.org 50 years for the treatment of lupus. As a member of the tumor system, we find that BAFF trimer activates the human TACI necrosis factor superfamily, BAFF promotes B-cell survival and receptor. Further, we profiled the activities of two clinically ad- homeostasis and is overexpressed in patients with systemic vanced BAFF antagonist antibodies, belimumab and tabalumab. -
Defining Natural Antibodies
PERSPECTIVE published: 26 July 2017 doi: 10.3389/fimmu.2017.00872 Defining Natural Antibodies Nichol E. Holodick1*, Nely Rodríguez-Zhurbenko2 and Ana María Hernández2* 1 Department of Biomedical Sciences, Center for Immunobiology, Western Michigan University Homer Stryker M.D. School of Medicine, Kalamazoo, MI, United States, 2 Natural Antibodies Group, Tumor Immunology Division, Center of Molecular Immunology, Havana, Cuba The traditional definition of natural antibodies (NAbs) states that these antibodies are present prior to the body encountering cognate antigen, providing a first line of defense against infection thereby, allowing time for a specific antibody response to be mounted. The literature has a seemingly common definition of NAbs; however, as our knowledge of antibodies and B cells is refined, re-evaluation of the common definition of NAbs may be required. Defining NAbs becomes important as the function of NAb production is used to define B cell subsets (1) and as these important molecules are shown to play numerous roles in the immune system (Figure 1). Herein, we aim to briefly summarize our current knowledge of NAbs in the context of initiating a discussion within the field of how such an important and multifaceted group of molecules should be defined. Edited by: Keywords: natural antibody, antibodies, natural antibody repertoire, B-1 cells, B cell subsets, B cells Harry W. Schroeder, University of Alabama at Birmingham, United States NATURAL ANTIBODY (NAb) PRODUCING CELLS Reviewed by: Andre M. Vale, Both murine and human NAbs have been discussed in detail since the late 1960s (2, 3); however, Federal University of Rio cells producing NAbs were not identified until 1983 in the murine system (4, 5). -
An Ontogenetic Switch Drives the Positive and Negative Selection of B Cells
An ontogenetic switch drives the positive and negative selection of B cells Xijin Xua, Mukta Deobagkar-Lelea, Katherine R. Bulla, Tanya L. Crockforda, Adam J. Meadb, Adam P. Cribbsc, David Simsc, Consuelo Anzilottia, and Richard J. Cornalla,1 aMedical Research Council Human Immunology Unit, Weatherall Institute of Molecular Medicine, University of Oxford, OX3 9DS Oxford, United Kingdom; bMedical Research Council Molecular Haematology Unit, Weatherall Institute of Molecular Medicine, University of Oxford, OX3 9DS Oxford, United Kingdom; and cMedical Research Council, Weatherall Institute of Molecular Medicine, Centre for Computational Biology, Weatherall Institute of Molecular Medicine, University of Oxford, OX3 9DS Oxford, United Kingdom Edited by Michael Reth, University of Freiburg, Freiburg, Germany, and approved January 6, 2020 (received for review September 3, 2019) + Developing B cells can be positively or negatively selected by self- BM HSCs increased CD5 B-1a B cell development (15), while antigens, but the mechanisms that determine these outcomes are expression of let-7b in FL pro-B cells blocked the development of incompletely understood. Here, we show that a B cell intrinsic B-1 B cells (17). These findings support the notion of hard-wired switch between positive and negative selection during ontogeny differences during ontogeny, but possibly downstream of the HSC is determined by a change from Lin28b to let-7 gene expression. commitment stage. Ectopic expression of a Lin28b transgene in murine B cells restored Several lines of evidence also suggest that B-1 B cells can un- the positive selection of autoreactive B-1 B cells by self-antigen in dergo positive selection, which is linked to their B cell receptor adult bone marrow. -
B Cell Checkpoints in Autoimmune Rheumatic Diseases
REVIEWS B cell checkpoints in autoimmune rheumatic diseases Samuel J. S. Rubin1,2,3, Michelle S. Bloom1,2,3 and William H. Robinson1,2,3* Abstract | B cells have important functions in the pathogenesis of autoimmune diseases, including autoimmune rheumatic diseases. In addition to producing autoantibodies, B cells contribute to autoimmunity by serving as professional antigen- presenting cells (APCs), producing cytokines, and through additional mechanisms. B cell activation and effector functions are regulated by immune checkpoints, including both activating and inhibitory checkpoint receptors that contribute to the regulation of B cell tolerance, activation, antigen presentation, T cell help, class switching, antibody production and cytokine production. The various activating checkpoint receptors include B cell activating receptors that engage with cognate receptors on T cells or other cells, as well as Toll-like receptors that can provide dual stimulation to B cells via co- engagement with the B cell receptor. Furthermore, various inhibitory checkpoint receptors, including B cell inhibitory receptors, have important functions in regulating B cell development, activation and effector functions. Therapeutically targeting B cell checkpoints represents a promising strategy for the treatment of a variety of autoimmune rheumatic diseases. Antibody- dependent B cells are multifunctional lymphocytes that contribute that serve as precursors to and thereby give rise to acti- cell- mediated cytotoxicity to the pathogenesis of autoimmune diseases -
Classification Decisions Taken by the Harmonized System Committee from the 47Th to 60Th Sessions (2011
CLASSIFICATION DECISIONS TAKEN BY THE HARMONIZED SYSTEM COMMITTEE FROM THE 47TH TO 60TH SESSIONS (2011 - 2018) WORLD CUSTOMS ORGANIZATION Rue du Marché 30 B-1210 Brussels Belgium November 2011 Copyright © 2011 World Customs Organization. All rights reserved. Requests and inquiries concerning translation, reproduction and adaptation rights should be addressed to [email protected]. D/2011/0448/25 The following list contains the classification decisions (other than those subject to a reservation) taken by the Harmonized System Committee ( 47th Session – March 2011) on specific products, together with their related Harmonized System code numbers and, in certain cases, the classification rationale. Advice Parties seeking to import or export merchandise covered by a decision are advised to verify the implementation of the decision by the importing or exporting country, as the case may be. HS codes Classification No Product description Classification considered rationale 1. Preparation, in the form of a powder, consisting of 92 % sugar, 6 % 2106.90 GRIs 1 and 6 black currant powder, anticaking agent, citric acid and black currant flavouring, put up for retail sale in 32-gram sachets, intended to be consumed as a beverage after mixing with hot water. 2. Vanutide cridificar (INN List 100). 3002.20 3. Certain INN products. Chapters 28, 29 (See “INN List 101” at the end of this publication.) and 30 4. Certain INN products. Chapters 13, 29 (See “INN List 102” at the end of this publication.) and 30 5. Certain INN products. Chapters 28, 29, (See “INN List 103” at the end of this publication.) 30, 35 and 39 6. Re-classification of INN products.