Antigen-Induced but Not Innate Memory CD8 T Cells Express NKG2D and Are Recruited to the Lung Parenchyma Upon Viral Infection
Total Page:16
File Type:pdf, Size:1020Kb
Load more
Recommended publications
-
NKG2D Signaling Within the Pancreatic Islets Reduces NOD Diabetes and Increases Protective Central Memory CD81 T-Cell Numbers
Diabetes Volume 69, August 2020 1749 NKG2D Signaling Within the Pancreatic Islets Reduces NOD Diabetes and Increases Protective Central Memory CD81 T-Cell Numbers Andrew P. Trembath,1 Kelsey L. Krausz,1 Neekun Sharma,1 Ivan C. Gerling,2 Clayton E. Mathews,3 and Mary A. Markiewicz1 Diabetes 2020;69:1749–1762 | https://doi.org/10.2337/db19-0979 NKG2D is implicated in autoimmune diabetes. How- The immune receptor NKG2D, expressed by natural killer ever, the role of this receptor in diabetes pathogenesis (NK) cells and subsets of T cells (1–5), is implicated in type IMMUNOLOGY AND TRANSPLANTATION is unclear owing to conflicting results with studies in- 1 diabetes development. However, its role in disease pro- volving global inhibition of NKG2D signaling. We found gression remains unclear, with conflicting reports describ- that NKG2D and its ligands are present in human pan- ing pathogenic (6,7), nonpathogenic (8), and protective (9) creata, with expression of NKG2D and its ligands in- effects of NKG2D signaling. creased in the islets of patients with type 1 diabetes. NKG2D recognizes multiple NKG2D ligands in both To directly assess the role of NKG2D in the pancreas, we humans and mice. These are endogenous ligands, which generated NOD mice that express an NKG2D ligand in are all distantly related to MHC class I in sequence, and are b-islet cells. Diabetes was reduced in these mice. The generally believed to be functionally redundant (10,11). reduction corresponded with a decrease in the effector 1 NKG2D ligands are considered stress ligands, with their to central memory CD8 T-cell ratio. -
T Cells the Usual Subsets
T cells: the usual subsets Chen Dong and Gustavo J. Martinez T cells have important roles in immune responses and function by directly secreting soluble mediators or important for adaptation of immune responses in different microenvironments and might be particularly through cell contact-dependent mechanisms. Many T cell subsets have been characterized. Although relevant for host defence against pathogens that colonize different tissues. Distinct T cell subsets, or effector T cells were originally considered to be terminally differentiated, a growing body of evidence has differentiation states, can be identified based on the cell surface markers expressed and/or the effector challenged this view and suggested that the phenotype of effector T cells is not completely fixed but is molecules produced by a particular T cell population. This Poster summarizes our current understanding of more flexible or plastic. T cells can have ‘mixed’ phenotypes (that is, have characteristics usually the surface markers, transcriptional regulators, effector molecules and functions of the different T cell associated with more than one T cell subset) and can interconvert from one subset phenotype to another, subsets that participate in immune responses. Further knowledge of how these T cell subsets are regulated IMMUNOLOGY although instructive signalling can lead to long-term fixation of cytokine memory. T cell plasticity can be and cooperate with each other will provide us with better tools to treat immune-related diseases. Cytotoxic T cell Exhausted T cell -
T Lymphocytes + and CD8 +CD4 TCR/CD3 Complex in Immortalized Mature -Deficient Γ Signaling Through A
Signaling Through a CD3γ-Deficient TCR/CD3 Complex in Immortalized Mature CD4+ and CD8+ T Lymphocytes This information is current as Alberto Pacheco-Castro, David Alvarez-Zapata, Pilar of September 25, 2021. Serrano-Torres and José R. Regueiro J Immunol 1998; 161:3152-3160; ; http://www.jimmunol.org/content/161/6/3152 Downloaded from References This article cites 47 articles, 19 of which you can access for free at: http://www.jimmunol.org/content/161/6/3152.full#ref-list-1 Why The JI? Submit online. http://www.jimmunol.org/ • 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 *average by guest on September 25, 2021 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 © 1998 by The American Association of Immunologists All rights reserved. Print ISSN: 0022-1767 Online ISSN: 1550-6606. Signaling Through a CD3g-Deficient TCR/CD3 Complex in Immortalized Mature CD41 and CD81 T Lymphocytes1 Alberto Pacheco-Castro,2 David Alvarez-Zapata,2 Pilar Serrano-Torres, and Jose´R. Regueiro3 The biologic role of each CD3 chain and their relative contribution to the signals transduced through the TCR/CD3 complex and to downstream activation events are still controversial: they may be specialized or redundant. -
18F-Farag PET for CD8 Profiling of Tumors and Assessment of Immunomodulation by Chemotherapy
Journal of Nuclear Medicine, published on November 6, 2020 as doi:10.2967/jnumed.120.249078 18F-FAraG PET for CD8 Profiling of Tumors and Assessment of Immunomodulation by Chemotherapy Jelena Levi1*, Samuel Goth1, Lyna Huynh1, Tina Lam1, Tony L Huynh2, Brailee Schulte2, Juliet A Packiasamy1 1CellSight Technologies Incorporated, San Francisco, California; 2Department of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, California; *Corresponding Author Jelena Levi, PhD 185 Berry street, San Francisco, 94107, CA Email: [email protected] Running Title: [18F]F-AraG for CD8 profiling of tumors Financial statement: This work was supported by National Institutes of Health Grants NCI SBIR HHSN261201800024C (JL). Conflict of Interest Statement: JL, SG, LH, TL and JP are or were employed by CellSight Technologies. CellSight Technologies Incorporated is commercializing [18F]F-AraG as a PET tracer for evaluation of immune response in immunotherapy. No other potential conflicts of interest relevant to this article exist. ABSTRACT Majority of the clinical trials exploring various combinations of chemo- and immunotherapy rely on serial biopsy to provide information on immune response. The aim of this study was to assess the value of 18F-FAraG as a non-invasive tool that could profile tumors based on the key players in adaptive antitumor response, CD8+ cells, and evaluate immunomodulatory effects of chemotherapy. Methods. To evaluate the ability of 18F-FAraG to report on the presence of CD8+ cells within the TME, we imaged a panel of syngeneic tumor models (MC38, CT26, LLC, A9F1, 4T1 and B16F10), and correlated the signal intensity with the number of lymphocytes found in the tumors. -
Delineation of Natural Killer Cell Differentiation from Myeloid Progenitors in Human
Delineation of Natural Killer Cell Differentiation from Myeloid Progenitors in Human The MIT Faculty has made this article openly available. Please share how this access benefits you. Your story matters. Citation Chen, Qingfeng, Weijian Ye, Wei Jian Tan, Kylie Su Mei Yong, Min Liu, Shu Qi Tan, Eva Loh, et al. “Delineation of Natural Killer Cell Differentiation from Myeloid Progenitors in Human.” Scientific Reports 5 (October 12, 2015): 15118. As Published http://dx.doi.org/10.1038/srep15118 Publisher Nature Publishing Group Version Final published version Citable link http://hdl.handle.net/1721.1/100500 Terms of Use Creative Commons Attribution Detailed Terms http://creativecommons.org/licenses/by/4.0/ www.nature.com/scientificreports OPEN Delineation of Natural Killer Cell Differentiation from Myeloid Progenitors in Human Received: 01 July 2015 1,* 2,3,* 2 1 1 4 Accepted: 16 September 2015 Qingfeng Chen , Weijian Ye , Wei Jian Tan , Kylie Su Mei Yong , Min Liu , Shu Qi Tan , 5 5,6 4,6 2,3 2,7 Published: 12 October 2015 Eva Loh , Kenneth TE Chang , Thiam Chye Tan , Peter R Preiser & Jianzhu Chen Understanding of natural killer (NK) cell development in human is incomplete partly because of limited access to appropriate human tissues. We have developed a cytokine-enhanced humanized mouse model with greatly improved reconstitution and function of human NK cells. Here we report the presence of a cell population in the bone marrow of the cytokine-treated humanized mice that express both NK cell marker CD56 and myeloid markers such as CD36 and CD33. The CD56+CD33+CD36+ cells are also found in human cord blood, fetal and adult bone marrow. -
CD29 Identifies IFN-Γ–Producing Human CD8+ T Cells With
+ CD29 identifies IFN-γ–producing human CD8 T cells with an increased cytotoxic potential Benoît P. Nicoleta,b, Aurélie Guislaina,b, Floris P. J. van Alphenc, Raquel Gomez-Eerlandd, Ton N. M. Schumacherd, Maartje van den Biggelaarc,e, and Monika C. Wolkersa,b,1 aDepartment of Hematopoiesis, Sanquin Research, 1066 CX Amsterdam, The Netherlands; bLandsteiner Laboratory, Oncode Institute, Amsterdam University Medical Center, University of Amsterdam, 1105 AZ Amsterdam, The Netherlands; cDepartment of Research Facilities, Sanquin Research, 1066 CX Amsterdam, The Netherlands; dDivision of Molecular Oncology and Immunology, Oncode Institute, The Netherlands Cancer Institute, 1066 CX Amsterdam, The Netherlands; and eDepartment of Molecular and Cellular Haemostasis, Sanquin Research, 1066 CX Amsterdam, The Netherlands Edited by Anjana Rao, La Jolla Institute for Allergy and Immunology, La Jolla, CA, and approved February 12, 2020 (received for review August 12, 2019) Cytotoxic CD8+ T cells can effectively kill target cells by producing therefore developed a protocol that allowed for efficient iso- cytokines, chemokines, and granzymes. Expression of these effector lation of RNA and protein from fluorescence-activated cell molecules is however highly divergent, and tools that identify and sorting (FACS)-sorted fixed T cells after intracellular cytokine + preselect CD8 T cells with a cytotoxic expression profile are lacking. staining. With this top-down approach, we performed an un- + Human CD8 T cells can be divided into IFN-γ– and IL-2–producing biased RNA-sequencing (RNA-seq) and mass spectrometry cells. Unbiased transcriptomics and proteomics analysis on cytokine- γ– – + + (MS) analyses on IFN- and IL-2 producing primary human producing fixed CD8 T cells revealed that IL-2 cells produce helper + + + CD8 Tcells. -
Identification of 18 Immune Cell Subsets Using 13-Color Panel
Immunophenotyping Identification of 18 immune cell subsets in human blood using a 13-color panel Background Cell type Function Phenotype Flow cytometry has become the method of choice for Eosinophils Parasitic immunity CD45+, SSCmid/hi, CD14 –, CD16 –, CD19– immunophenotyping and identifying specific cellular + mid/hi subsets. Within seconds, it provides a thorough overview of Neutrophils Innate Immunity CD45 , SSC , CD14 –, CD16+, CD19– the major cell types that constitute a sample. Using multiple + mid markers simultaneously increases the number of parameters Classical Phagocytosis of CD45 , SSC , monocytes pathogens and CD14+, CD16– that can be analyzed per run and decreases the amount of antigen presentation starting material required to perform an assay. This can be Intermediate Phagocytosis of CD45+, SSCmid, critical for precious sample material and long-term immune- monocytes pathogens and CD14+, CD16mid monitoring studies. In this application note, we demonstrate antigen presentation 13-color immunophenotyping of human peripheral blood Non-classical Phagocytosis of CD45+, SSCmid, + + mononuclear cells (PBMCs) using the MACSQuant® Analyzer 16, monocytes pathogens and CD14 , CD16 antigen presentation a compact and reliable benchtop flow cytometer equipped + low + with three lasers. The markers selected allow for the Class-switched Adaptive immunity CD45 , SSC , CD19 , memory B cells CD27+, IgD–, CD14– simultaneous identification and analysis of 18 different cell Non-switched Adaptive immunity CD45+, SSClow, CD19+, populations, thus maximizing the amount of information that memory B cells CD27+, IgD+, CD14– can be retrieved from the sample material analyzed. This is Naive B cells Adaptive immunity – CD45+, SSClow, CD19+, critical when input material is limited, as is often the case for non-antigen CD27–, IgD+, CD14– pediatric or disease studies. -
Cd4/Cd8 Panel, Blood
Lab Dept: Flow and Immunology Test Name: CD4/CD8 PANEL, BLOOD General Information Lab Order Codes: C48P Synonyms: Helper/Suppressor Ratio; T- cells; T-cell subsets; T-cell phenotyping See also: Immune Status Panel and Comprehensive Immune Status Panel CPT Codes: 86359 – T cells, total count 86360 – T cells; absolute CD4 and CD8 count, including ratio Test Includes: CD4(CD3+) and CD8(CD3+) relative percentages, absolute values and a calculated Helper/Suppressor ratio. Logistics Test Indications: This is a minimal antibody panel to monitor immune status. Lab Testing Sections: Flow Cytometry Phone Numbers: MIN Lab: 612-813-6280 STP Lab: 651-220-6550 Test Availability: 3 times weekly determined by volume. Transport collected specimen immediately to Flow Cytometry. Routine testing is not available on weekends or holidays. Therefore, specimens cannot be used if drawn the day before a 3 day weekend such as Memorial Day, Labor Day or major holiday that falls on a Monday or Friday. Turnaround Time: 1 – 3 days Special Instructions: See Test Availability Specimen Specimen Type: Whole blood Container: Lavender top (EDTA) tube Draw Volume: 2 mL blood in a 2 mL Lavender (EDTA) tube Minimum volume: 0.5 mL in an EDTA microtainer Collection: Routine venipuncture Special Processing: Keep sample at room temperature and forward promptly to the laboratory. Do not centrifuge, refrigerate, or freeze sample. Patient Preparation: None Sample Rejection: Specimens will not be processed that are clotted; hemolyzed; greater than 72 hours old; collected in the wrong tube type (0.5 mL in a 2 mL tube), or that have been held or handled at a temperature other than room temperature Interpretive Reference Range: Age-dependant reference ranges provided with results. -
Flow Cytometry CPT: 88182, 88184, 88185, 88187, 88188, 88189, 86355, 86356, 86357, 86359, 86360, 86361, 86367
Medicare Local Coverage Determination Policy Flow Cytometry CPT: 88182, 88184, 88185, 88187, 88188, 88189, 86355, 86356, 86357, 86359, 86360, 86361, 86367 CMS Policy for Alaska, Arizona, Idaho, Montana, North Dakota, Medically Supportive Oregon, South Dakota, Utah, Washington, and Wyoming ICD Codes are listed Local policies are determined by the performing test location. This is determined by the state on subsequent page(s) in which your performing laboratory resides and where your testing is commonly performed. of this document. Coverage Indications, Limitations, and/or Medical Necessity Flow cytometry (FCM) is a complex process to examine blood, body fluids, CSF, bone marrow, lymph node, tonsil, spleen and other solid tissues. The use of peripheral blood and fine needle aspirate material avoids more invasive procedures for diagnosis. A flow cytometer evaluates the physical and/or chemical characteristics of single cells as the cells pass individually in a fluid stream through a measuring device. Surface receptors, intracellular molecules, and DNA bind with fluorescent dyes that allow detection and evaluation. When light of one wave length excites electrons of certain chemicals to energy levels above their ground state and upon return to ground state emits light of a longer wavelength, fluorescence is produced. A flow cytometer detects cell characteristics by measuring the fluorescence produced by fluorochromes conjugated either directly with cell components or conjugated to antibodies directed against cell components. Indications • Cytopenias and Hypercellular Hematolymphoid Disorders Hematolymphoid neoplasia can present with cytopenias (anemia, leucopenia and/or thrombocytopenia) or elevated leukocyte counts. If medical review and preliminary laboratory testing fails to reveal a cause, bone marrow aspiration and biopsy are indicated to rule out an infiltrative process or a stem cell disorder. -
Human Peripheral Blood Gamma Delta T Cells: Report on a Series of Healthy Caucasian Portuguese Adults and Comprehensive Review of the Literature
cells Article Human Peripheral Blood Gamma Delta T Cells: Report on a Series of Healthy Caucasian Portuguese Adults and Comprehensive Review of the Literature 1, 2, 1, 1, Sónia Fonseca y, Vanessa Pereira y, Catarina Lau z, Maria dos Anjos Teixeira z, Marika Bini-Antunes 3 and Margarida Lima 1,* 1 Laboratory of Cytometry, Unit for Hematology Diagnosis, Department of Hematology, Hospital de Santo António (HSA), Centro Hospitalar Universitário do Porto (CHUP), Unidade Multidisciplinar de Investigação Biomédica, Instituto de Ciências Biomédicas Abel Salazar, Universidade do Porto (UMIB/ICBAS/UP), 4099-001 Porto Porto, Portugal; [email protected] (S.F.); [email protected] (C.L.); [email protected] (M.d.A.T.) 2 Department of Clinical Pathology, Centro Hospitalar de Vila Nova de Gaia/Espinho (CHVNG/E), 4434-502 Vila Nova de Gaia, Portugal; [email protected] 3 Laboratory of Immunohematology and Blood Donors Unit, Department of Hematology, Hospital de Santo António (HSA), Centro Hospitalar Universitário do Porto (CHUP), Unidade Multidisciplinar de Investigação Biomédica, Instituto de Ciências Biomédicas Abel Salazar, Universidade do Porto (UMIB/ICBAS/UP), 4099-001Porto, Portugal; [email protected] * Correspondence: [email protected]; Tel.: + 351-22-20-77-500 These authors contributed equally to this work. y These authors contributed equally to this work. z Received: 10 February 2020; Accepted: 13 March 2020; Published: 16 March 2020 Abstract: Gamma delta T cells (Tc) are divided according to the type of Vδ and Vγ chains they express, with two major γδ Tc subsets being recognized in humans: Vδ2Vγ9 and Vδ1. -
Natural Killer Cell Lymphoma Shares Strikingly Similar Molecular Features
Leukemia (2011) 25, 348–358 & 2011 Macmillan Publishers Limited All rights reserved 0887-6924/11 www.nature.com/leu ORIGINAL ARTICLE Natural killer cell lymphoma shares strikingly similar molecular features with a group of non-hepatosplenic cd T-cell lymphoma and is highly sensitive to a novel aurora kinase A inhibitor in vitro J Iqbal1, DD Weisenburger1, A Chowdhury2, MY Tsai2, G Srivastava3, TC Greiner1, C Kucuk1, K Deffenbacher1, J Vose4, L Smith5, WY Au3, S Nakamura6, M Seto6, J Delabie7, F Berger8, F Loong3, Y-H Ko9, I Sng10, X Liu11, TP Loughran11, J Armitage4 and WC Chan1, for the International Peripheral T-cell Lymphoma Project 1Department of Pathology and Microbiology, University of Nebraska Medical Center, Omaha, NE, USA; 2Eppley Institute for Research in Cancer and Allied Diseases, University of Nebraska Medical Center, Omaha, NE, USA; 3Departments of Pathology and Medicine, University of Hong Kong, Queen Mary Hospital, Hong Kong, China; 4Division of Hematology and Oncology, Department of Internal Medicine, University of Nebraska Medical Center, Omaha, NE, USA; 5College of Public Health, University of Nebraska Medical Center, Omaha, NE, USA; 6Departments of Pathology and Cancer Genetics, Aichi Cancer Center Research Institute, Nagoya University, Nagoya, Japan; 7Department of Pathology, University of Oslo, Norwegian Radium Hospital, Oslo, Norway; 8Department of Pathology, Centre Hospitalier Lyon-Sud, Lyon, France; 9Department of Pathology, Samsung Medical Center, Sungkyunkwan University, Seoul, Korea; 10Department of Pathology, Singapore General Hospital, Singapore and 11Penn State Hershey Cancer Institute, Pennsylvania State University College of Medicine, Hershey, PA, USA Natural killer (NK) cell lymphomas/leukemias are rare neo- Introduction plasms with an aggressive clinical behavior. -
Regulation and Genetic Manipulation of Ligands for the Immunoreceptor NKG2D
Regulation and Genetic Manipulation of Ligands for the Immunoreceptor NKG2D by Benjamin Gregory Gowen A dissertation submitted in partial satisfaction of the requirements for the degree of Doctor of Philosophy in Molecular and Cell Biology in the Graduate Division of the University of California, Berkeley Committee in charge: Professor David H. Raulet, Chair Professor Gregory M. Barton Professor Michael Rape Professor Karsten Gronert Spring 2015 Abstract Regulation and Genetic Manipulation of Ligands for the Immunoreceptor NKG2D by Benjamin Gregory Gowen Doctor of Philosophy in Molecular and Cell Biology University of California, Berkeley Professor David H. Raulet, Chair NKG2D is an important activating receptor expressed by natural killer (NK) cells and some subsets of T cells. NKG2D recognizes a family of cell surface protein ligands that are typically not expressed by healthy cells, but become upregulated by cellular stress associated with transformation or infection. Engagement of NKG2D by its ligands displayed on a target cell membrane leads to NK cell activation, cytokine secretion, and lysis of the target cell. Despite the importance of NKG2D for controlling tumors, the molecular mechanisms driving NKG2D ligand expression on tumor cells are not well defined. The work described in this dissertation was centered on the identification of novel regulators of ULBP1, one of the human NKG2D ligands. Using a forward genetic screen of a tumor-derived human cell line, we identified several novel factors supporting ULBP1 expression, and used the CRISPR/Cas9 system to further investigate these hits. Our results showed stepwise contributions of independent pathways working at multiple stages of ULBP1 biogenesis, including transcription of the ULBP1 gene, splicing of the ULBP1 mRNA, and additional co-translational or post-translational regulation of the ULBP1 protein.