Variations of Human Killer Cell Lectin-Like Receptors: Common Occurrence of NKG2-C Deletion in the General Population
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Enhancing a Natural Killer: Modification of NK Cells for Cancer
cells Review Enhancing a Natural Killer: Modification of NK Cells for Cancer Immunotherapy Rasa Islam 1,2, Aleta Pupovac 1, Vera Evtimov 1, Nicholas Boyd 1, Runzhe Shu 1, Richard Boyd 1 and Alan Trounson 1,2,* 1 Cartherics Pty Ltd., Clayton 3168, Australia; [email protected] (R.I.); [email protected] (A.P.); [email protected] (V.E.); [email protected] (N.B.); [email protected] (R.S.); [email protected] (R.B.) 2 Department of Obstetrics and Gynaecology, Monash University, Clayton 3168, Australia * Correspondence: [email protected] Abstract: Natural killer (NK) cells are potent innate immune system effector lymphocytes armed with multiple mechanisms for killing cancer cells. Given the dynamic roles of NK cells in tumor surveillance, they are fast becoming a next-generation tool for adoptive immunotherapy. Many strategies are being employed to increase their number and improve their ability to overcome cancer resistance and the immunosuppressive tumor microenvironment. These include the use of cytokines and synthetic compounds to bolster propagation and killing capacity, targeting immune-function checkpoints, addition of chimeric antigen receptors (CARs) to provide cancer specificity and genetic ablation of inhibitory molecules. The next generation of NK cell products will ideally be readily available as an “off-the-shelf” product and stem cell derived to enable potentially unlimited supply. However, several considerations regarding NK cell source, genetic modification and scale up first Citation: Islam, R.; Pupovac, A.; need addressing. Understanding NK cell biology and interaction within specific tumor contexts Evtimov, V.; Boyd, N.; Shu, R.; Boyd, will help identify necessary NK cell modifications and relevant choice of NK cell source. -
And NK-Cell Neoplasms
J Hematopathol (2009) 2:65–73 DOI 10.1007/s12308-009-0034-z COMMENT Commentary on the 2008 WHO classification of mature T- and NK-cell neoplasms Megan S. Lim & Laurence de Leval & Leticia Quintanilla-Martinez Received: 29 April 2009 /Accepted: 1 May 2009 /Published online: 27 June 2009 # Springer-Verlag 2009 Abstract In 2008, the World Health Organization (WHO) Introduction published a revised and updated edition of the classification of tumors of the hematopoietic and lymphoid tissues. The The 2008 World Health Organization (WHO) classification aims of the fourth edition of the WHO classification was to of mature thymus (T)- and natural killer (NK)-cell neo- incorporate new scientific and clinical information in order plasms provide clarification regarding diagnostic criteria, to refine diagnostic criteria for previously described neo- etiologic insights, and prognostic information for several plasms and to introduce newly recognized disease entities. new/provisional entities [1]. The recognition that T-cell The recognition that T-cell lymphomas are related to the lymphomas are related to the innate and adaptive immune innate and adaptive immune system, as well as enhanced system, as well as enhanced understanding of other T-cell understanding of other T-cell subsets, such as the regula- subsets, such as the regulatory T-cell and follicular helper tory T-cell and follicular helper T-cells, has contributed to T-cells (TFH), has contributed to our understanding of the our understanding of the morphologic, histologic, and morphologic, histologic, and immunophenotypic features of immunophenotypic features of T- and NK-cell neoplasms. T- and NK-cell neoplasms. New insights regarding immu- The purpose of this review is to highlight major changes in nophenotypic features of large granular lymphocytes and the classification of T- and NK-cell neoplasms and to NK-cells have provided better flow cytometric tools for the explain the rationale for these changes. -
Downloaded the Normalized Gene Expression Profile from the GEO (Package Geoquery (5))
1 SUPPLEMENTARY MATERIALS 2 Supplementary Methods 3 Study design 4 The workflow to identify and validate the TME risk score and TME subtypes in gastric cancer is 5 depicted in Fig. S1. We first estimated the absolute abundance levels of the major stromal and 6 immune cell types in the TME using bulk gene expression data, and assessed the prognostic 7 effect of these cells in a discovery cohort. Next, we constructed a TME risk score and validated it 8 in two independent gene expression validation cohorts and three immunohistochemistry 9 validation cohorts. Finally, we stratified patients into four TME subtypes and examined their 10 genomic and molecular features and relation to established molecular subtypes. 11 Gene expression data 12 To explore the prognostic landscape of the TME, we used four gene expression profile (GEP) 13 datasets of resected gastric cancer patients with publicly available clinical information, namely, 14 ACRG (GSE62254) (1), GSE15459 (2), GSE84437 (3), and TCGA stomach adenocarcinoma 15 (STAD). Specifically, the raw microarray data in the ACRG cohort and GSE15459 were retrieved 16 from the Gene Expression Omnibus (GEO), and normalized by the RMA algorithm (package affy) 17 using custom chip definition files (Brainarray version 23 (4)) that convert Affymetrix probesets to 18 Entrez gene IDs. For GSE84437 dataset, which was measured by the Illumina platform, we 19 downloaded the normalized gene expression profile from the GEO (package GEOquery (5)). The 20 Illumina probes were also mapped to Entrez genes. For multiple probes mapping to the same 21 Entrez gene, we selected the one with the maximum mean expression level as the surrogate for 22 the Entrez gene using the function of collapseRows (6) (package WGCNA). -
Single-Cell Profiling Identifies Impaired Adaptive NK Cells Expanded After HCMV Reactivation in Haploidentical HSCT
Single-cell profiling identifies impaired adaptive NK cells expanded after HCMV reactivation in haploidentical HSCT Elisa Zaghi, … , Enrico Lugli, Domenico Mavilio JCI Insight. 2021;6(12):e146973. https://doi.org/10.1172/jci.insight.146973. Research Article Hematology Immunology Graphical abstract Find the latest version: https://jci.me/146973/pdf RESEARCH ARTICLE Single-cell profiling identifies impaired adaptive NK cells expanded after HCMV reactivation in haploidentical HSCT Elisa Zaghi,1 Michela Calvi,1,2 Simone Puccio,3 Gianmarco Spata,1 Sara Terzoli,1 Clelia Peano,4 Alessandra Roberto,3 Federica De Paoli,3 Jasper J.P. van Beek,3 Jacopo Mariotti,5 Chiara De Philippis,5 Barbara Sarina,5 Rossana Mineri,6 Stefania Bramanti,5 Armando Santoro,5 Vu Thuy Khanh Le-Trilling,7 Mirko Trilling,7 Emanuela Marcenaro,8 Luca Castagna,5 Clara Di Vito,1,2 Enrico Lugli,3,9 and Domenico Mavilio1,2 1Unit of Clinical and Experimental Immunology, IRCCS Humanitas Research Hospital, Rozzano, Milan, Italy. 2BIOMETRA, Università degli Studi di Milano, Milan, Italy. 3Laboratory of Translational Immunology, 4Institute of Genetic and Biomedical Research, UoS Milan, National Research Council, and Genomic Unit, 5Bone Marrow Transplant Unit, and 6Molecular Biology Section, Clinical Investigation Laboratory, IRCCS Humanitas Research Hospital, Milan, Italy. 7Institute for Virology, University Hospital Essen, University Duisburg-Essen, Essen, Germany. 8Department of Experimental Medicine, University of Genoa, Genoa, Italy. 9Flow Cytometry Core, IRCCS Humanitas Research Hospital, Milan, Italy. Haploidentical hematopoietic stem cell transplantation (h-HSCT) represents an efficient curative approach for patients affected by hematologic malignancies in which the reduced intensity conditioning induces a state of immunologic tolerance between donor and recipient. -
Orderly and Nonstochastic Acquisition of CD94/NKG2 Receptors by Developing NK Cells Derived from Embryonic Stem Cells in Vitro1
The Journal of Immunology Orderly and Nonstochastic Acquisition of CD94/NKG2 Receptors by Developing NK Cells Derived from Embryonic Stem Cells In Vitro1 Rebecca H. Lian,2* Motoi Maeda,2* Stefan Lohwasser,* Marc Delcommenne,† Toru Nakano,§ Russell E. Vance,¶ David H. Raulet,¶ and Fumio Takei3*‡ In mice there are two families of MHC class I-specific receptors, namely the Ly49 and CD94/NKG2 receptors. The latter receptors recognize the nonclassical MHC class I Qa-1b and are thought to be responsible for the recognition of missing-self and the maintenance of self-tolerance of fetal and neonatal NK cells that do not express Ly49. Currently, how NK cells acquire individual CD94/NKG2 receptors during their development is not known. In this study, we have established a multistep culture method to induce differentiation of embryonic stem (ES) cells into the NK cell lineage and examined the acquisition of CD94/NKG2 by NK cells as they differentiate from ES cells in vitro. ES-derived NK (ES-NK) cells express NK cell-associated proteins and they kill certain tumor cell lines as well as MHC class I-deficient lymphoblasts. They express CD94/NKG2 heterodimers, but not Ly49 molecules, and their cytotoxicity is inhibited by Qa-1b on target cells. Using RT-PCR analysis, we also report that the acquisition of these individual receptor gene expressions during different stages of differentiation from ES cells to NK cells follows a prede- termined order, with their order of acquisition being first CD94; subsequently NKG2D, NKG2A, and NKG2E; and finally, NKG2C. Single-cell RT-PCR showed coexpression of CD94 and NKG2 genes in most ES-NK cells, and flow cytometric analysis also detected CD94/NKG2 on most ES-NK cells, suggesting that the acquisition of these receptors by ES-NK cells in vitro is nonstochastic, orderly, and cumulative. -
Supplementary Table 1: Adhesion Genes Data Set
Supplementary Table 1: Adhesion genes data set PROBE Entrez Gene ID Celera Gene ID Gene_Symbol Gene_Name 160832 1 hCG201364.3 A1BG alpha-1-B glycoprotein 223658 1 hCG201364.3 A1BG alpha-1-B glycoprotein 212988 102 hCG40040.3 ADAM10 ADAM metallopeptidase domain 10 133411 4185 hCG28232.2 ADAM11 ADAM metallopeptidase domain 11 110695 8038 hCG40937.4 ADAM12 ADAM metallopeptidase domain 12 (meltrin alpha) 195222 8038 hCG40937.4 ADAM12 ADAM metallopeptidase domain 12 (meltrin alpha) 165344 8751 hCG20021.3 ADAM15 ADAM metallopeptidase domain 15 (metargidin) 189065 6868 null ADAM17 ADAM metallopeptidase domain 17 (tumor necrosis factor, alpha, converting enzyme) 108119 8728 hCG15398.4 ADAM19 ADAM metallopeptidase domain 19 (meltrin beta) 117763 8748 hCG20675.3 ADAM20 ADAM metallopeptidase domain 20 126448 8747 hCG1785634.2 ADAM21 ADAM metallopeptidase domain 21 208981 8747 hCG1785634.2|hCG2042897 ADAM21 ADAM metallopeptidase domain 21 180903 53616 hCG17212.4 ADAM22 ADAM metallopeptidase domain 22 177272 8745 hCG1811623.1 ADAM23 ADAM metallopeptidase domain 23 102384 10863 hCG1818505.1 ADAM28 ADAM metallopeptidase domain 28 119968 11086 hCG1786734.2 ADAM29 ADAM metallopeptidase domain 29 205542 11085 hCG1997196.1 ADAM30 ADAM metallopeptidase domain 30 148417 80332 hCG39255.4 ADAM33 ADAM metallopeptidase domain 33 140492 8756 hCG1789002.2 ADAM7 ADAM metallopeptidase domain 7 122603 101 hCG1816947.1 ADAM8 ADAM metallopeptidase domain 8 183965 8754 hCG1996391 ADAM9 ADAM metallopeptidase domain 9 (meltrin gamma) 129974 27299 hCG15447.3 ADAMDEC1 ADAM-like, -
The Journal of Experimental Medicine
Published November 15, 2004 NKG2D Recognition and Perforin Effector Function Mediate Effective Cytokine Immunotherapy of Cancer Mark J. Smyth,1 Jeremy Swann,1 Janice M. Kelly,1 Erika Cretney,1 Wayne M. Yokoyama,2 Andreas Diefenbach,3 Thomas J. Sayers,4 and Yoshihiro Hayakawa1 1Cancer Immunology Program, Trescowthick Laboratories, Peter MacCallum Cancer Centre, East Melbourne, 8006 Victoria, Australia 2Howard Hughes Medical Institute, Washington University School of Medicine, St Louis, MO 63110 3Skirball Institute of Biomolecular Medicine, New York University Medical Center, New York, NY 10016 4Basic Research Program, SAIC-Frederick Inc., National Cancer Institute, Frederick, MD 21702 Abstract Downloaded from Single and combination cytokines offer promise in some patients with advanced cancer. Many spontaneous and experimental cancers naturally express ligands for the lectin-like type-2 trans- membrane stimulatory NKG2D immunoreceptor; however, the role this tumor recognition pathway plays in immunotherapy has not been explored to date. Here, we show that natural ex- pression of NKG2D ligands on tumors provides an effective target for some cytokine-stimulated NK cells to recognize and suppress tumor metastases. In particular, interleukin (IL)-2 or IL-12 jem.rupress.org suppressed tumor metastases largely via NKG2D ligand recognition and perforin-mediated cyto- toxicity. By contrast, IL-18 required tumor sensitivity to Fas ligand (FasL) and surprisingly did not depend on the NKG2D–NKG2D ligand pathway. A combination of IL-2 and IL-18 stimulated both perforin and FasL effector mechanisms with very potent effects. Cytokines that stimulated perforin-mediated cytotoxicity appeared relatively more effective against tumor metastases ex- pressing NKG2D ligands. These findings indicate that a rational choice of cytokines can be on March 23, 2015 made given the known sensitivity of tumor cells to perforin, FasL, and tumor necrosis factor– related apoptosis-inducing ligand and the NKG2D ligand status of tumor metastases. -
Chimeric Non-Antigen Receptors in T Cell-Based Cancer Therapy
Open access Review J Immunother Cancer: first published as 10.1136/jitc-2021-002628 on 3 August 2021. Downloaded from Chimeric non- antigen receptors in T cell- based cancer therapy Jitao Guo,1 Andrew Kent,1 Eduardo Davila1,2,3,4 To cite: Guo J, Kent A, Davila E. ABSTRACT including T cell trafficking, survival, prolifer- Chimeric non- antigen receptors Adoptively transferred T cell- based cancer therapies ation, differentiation, and effector functions, in T cell- based cancer therapy. have shown incredible promise in treatment of various would ideally fall under user-directed custom- Journal for ImmunoTherapy cancers. So far therapeutic strategies using T cells have of Cancer 2021;9:e002628. izable control. With these goals in mind, focused on manipulation of the antigen- recognition doi:10.1136/jitc-2021-002628 chimeric non- antigen receptors are being y itself, such as through selective expression machiner designed to provide supportive cosignaling of tumor- antigen specificT cell receptors or engineered Accepted 27 June 2021 antigen- recognition chimeric antigen receptors (CARs). for CAR or TCR antitumor T cell responses. While several CARs have been approved for treatment The domains, smaller motifs, and even key of hematopoietic malignancies, this kind of therapy has residues of natural immune receptors are been less successful in the treatment of solid tumors, in the essential functional subunits of each part due to lack of suitable tumor- specific targets, the receptor. Many domains and motifs exhibit immunosuppressive tumor microenvironment, and the high functional fidelity so long as their struc- inability of adoptively transferred cells to maintain their tural context is maintained, making them therapeutic potentials. -
Supporting Info
advances.sciencemag.org/cgi/content/full/6/29/eaba9589/DC1 Supplementary Materials for Cell invasion in digital microfluidic microgel systems Bingyu B. Li, Erica Y. Scott, M. Dean Chamberlain, Bill T. V. Duong, Shuailong Zhang, Susan J. Done, Aaron R. Wheeler* *Corresponding author. Email: [email protected] Published 15 July 2020, Sci. Adv. 6, eaba9589 (2020) DOI: 10.1126/sciadv.aba9589 This PDF file includes: Figs. S1 to S8 Tables S1 and S2 References Supplementary Figure S1 CIMMS microgels and cell viability. For (a-c) core-shell microgels were formed from 2.4 mg/mL collagen I and 10% BM extract. (a) Cartoon indicating the orientation of the microgel shown in the images. SEM images of (b) the collagen I core (scale bar = 20 µm) and (c) the edge of microgel with core on the "top" and the shell on the "bottom" (scale bar = 100 µm). The pore size of the collagen I core was calculated to be 3.1 m by the method reported by Blackmon et al. (53), which is nearly identical to the pore size reported for the same concentration of collagen I cast in well plates by Lang et al. (54). For (d-f) MDA-MB-231 cells were seeded onto simple collagen I microgels (2.4 mg/mL). (d) Cell count per droplet with seeding density at 200,000 (lt. pink), 400,000 (fuscia) or 600,000 cells/mL (burgundy). Error bars represent ± 1 std. dev. from n = 4 microgels per condition. (e) 3D confocal fluorescent microscopy image of cells stained on day 4 with calcein-AM (live-green) and propidium iodide (dead-red). -
NKG2D Recognition and Perforin Effector Function Mediate Effective Cytokine Immunotherapy of Cancer Mark J
Washington University School of Medicine Digital Commons@Becker Open Access Publications 2004 NKG2D recognition and perforin effector function mediate effective cytokine immunotherapy of cancer Mark J. Smyth Peter MacCallum Cancer Centre Jeremy Swann Peter MacCallum Cancer Centre Janice M. Kelly Peter MacCallum Cancer Centre Erika Cretney Peter MacCallum Cancer Centre Wayne M. Yokoyama Washington University School of Medicine in St. Louis See next page for additional authors Follow this and additional works at: https://digitalcommons.wustl.edu/open_access_pubs Part of the Medicine and Health Sciences Commons Recommended Citation Smyth, Mark J.; Swann, Jeremy; Kelly, Janice M.; Cretney, Erika; Yokoyama, Wayne M.; Diefenbach, Andreas; Sayers, Thomas J.; and Hayakawa, Yoshihiro, ,"NKG2D recognition and perforin effector function mediate effective cytokine immunotherapy of cancer." Journal of Experimental Medicine.,. 1325-1335. (2004). https://digitalcommons.wustl.edu/open_access_pubs/613 This Open Access Publication is brought to you for free and open access by Digital Commons@Becker. It has been accepted for inclusion in Open Access Publications by an authorized administrator of Digital Commons@Becker. For more information, please contact [email protected]. Authors Mark J. Smyth, Jeremy Swann, Janice M. Kelly, Erika Cretney, Wayne M. Yokoyama, Andreas Diefenbach, Thomas J. Sayers, and Yoshihiro Hayakawa This open access publication is available at Digital Commons@Becker: https://digitalcommons.wustl.edu/open_access_pubs/613 Published November -
Human Lectins, Their Carbohydrate Affinities and Where to Find Them
biomolecules Review Human Lectins, Their Carbohydrate Affinities and Where to Review HumanFind Them Lectins, Their Carbohydrate Affinities and Where to FindCláudia ThemD. Raposo 1,*, André B. Canelas 2 and M. Teresa Barros 1 1, 2 1 Cláudia D. Raposo * , Andr1 é LAQVB. Canelas‐Requimte,and Department M. Teresa of Chemistry, Barros NOVA School of Science and Technology, Universidade NOVA de Lisboa, 2829‐516 Caparica, Portugal; [email protected] 12 GlanbiaLAQV-Requimte,‐AgriChemWhey, Department Lisheen of Chemistry, Mine, Killoran, NOVA Moyne, School E41 of ScienceR622 Co. and Tipperary, Technology, Ireland; canelas‐ [email protected] NOVA de Lisboa, 2829-516 Caparica, Portugal; [email protected] 2* Correspondence:Glanbia-AgriChemWhey, [email protected]; Lisheen Mine, Tel.: Killoran, +351‐212948550 Moyne, E41 R622 Tipperary, Ireland; [email protected] * Correspondence: [email protected]; Tel.: +351-212948550 Abstract: Lectins are a class of proteins responsible for several biological roles such as cell‐cell in‐ Abstract:teractions,Lectins signaling are pathways, a class of and proteins several responsible innate immune for several responses biological against roles pathogens. such as Since cell-cell lec‐ interactions,tins are able signalingto bind to pathways, carbohydrates, and several they can innate be a immuneviable target responses for targeted against drug pathogens. delivery Since sys‐ lectinstems. In are fact, able several to bind lectins to carbohydrates, were approved they by canFood be and a viable Drug targetAdministration for targeted for drugthat purpose. delivery systems.Information In fact, about several specific lectins carbohydrate were approved recognition by Food by andlectin Drug receptors Administration was gathered for that herein, purpose. plus Informationthe specific organs about specific where those carbohydrate lectins can recognition be found by within lectin the receptors human was body. -
High-Dimensional Analysis Reveals a Distinct Population of Adaptive-Like Tissue
bioRxiv preprint doi: https://doi.org/10.1101/2019.12.20.883785; this version posted December 20, 2019. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under aCC-BY-NC-ND 4.0 International license. 1 High-dimensional analysis reveals a distinct population of adaptive-like tissue- 2 resident NK cells in human lung 3 4 Nicole Marquardt1*, Marlena Scharenberg1, Jeffrey E. Mold2, Joanna Hård2, Eliisa 5 Kekäläinen3,4, Marcus Buggert1, Son Nguyen5,6, Jennifer N. Wilson1, Mamdoh Al- 6 Ameri7, Hans-Gustaf Ljunggren1, Jakob Michaëlsson1 7 8 Running title: Adaptive-like human lung tissue-resident NK cells 9 10 Affiliations: 11 1Center for Infectious Medicine, Department of Medicine, Karolinska Institutet, 12 Stockholm, Sweden 13 2Department of Cell and Molecular Biology, Karolinska Institutet, Stockholm, Sweden 14 3Translational Immunology Research Program & Department of Bacteriology and 15 Immunology, University of Helsinki, Finland 16 4HUSLAB, Division of Clinical Microbiology, Helsinki University Hospital, Helsinki, 17 Finland, 18 5Department of Microbiology, Perelman School of Medicine, University of 19 Pennsylvania, Philadelphia, PA, USA 20 6Institute for Immunology, Perelman School of Medicine, University of Pennsylvania, 21 Philadelphia, PA, USA 22 7Thoracic Surgery, Department of Molecular Medicine and Surgery, Karolinska 23 Institutet, Karolinska University Hospital, Stockholm, Sweden 24 1 bioRxiv preprint doi: https://doi.org/10.1101/2019.12.20.883785; this version posted December 20, 2019. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity.