Tethered Il-15 to Augment the Therapeutic Potential of T Cells
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Molecular Profile of Tumor-Specific CD8+ T Cell Hypofunction in a Transplantable Murine Cancer Model
Downloaded from http://www.jimmunol.org/ by guest on September 25, 2021 T + is online at: average * The Journal of Immunology , 34 of which you can access for free at: 2016; 197:1477-1488; Prepublished online 1 July from submission to initial decision 4 weeks from acceptance to publication 2016; doi: 10.4049/jimmunol.1600589 http://www.jimmunol.org/content/197/4/1477 Molecular Profile of Tumor-Specific CD8 Cell Hypofunction in a Transplantable Murine Cancer Model Katherine A. Waugh, Sonia M. Leach, Brandon L. Moore, Tullia C. Bruno, Jonathan D. Buhrman and Jill E. Slansky J Immunol cites 95 articles Submit online. Every submission reviewed by practicing scientists ? is published twice each month by Receive free email-alerts when new articles cite this article. Sign up at: http://jimmunol.org/alerts http://jimmunol.org/subscription Submit copyright permission requests at: http://www.aai.org/About/Publications/JI/copyright.html http://www.jimmunol.org/content/suppl/2016/07/01/jimmunol.160058 9.DCSupplemental This article http://www.jimmunol.org/content/197/4/1477.full#ref-list-1 Information about subscribing to The JI No Triage! Fast Publication! Rapid Reviews! 30 days* Why • • • Material References Permissions Email Alerts Subscription Supplementary The Journal of Immunology The American Association of Immunologists, Inc., 1451 Rockville Pike, Suite 650, Rockville, MD 20852 Copyright © 2016 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 25, 2021. The Journal of Immunology Molecular Profile of Tumor-Specific CD8+ T Cell Hypofunction in a Transplantable Murine Cancer Model Katherine A. -
Cytokine Nomenclature
RayBiotech, Inc. The protein array pioneer company Cytokine Nomenclature Cytokine Name Official Full Name Genbank Related Names Symbol 4-1BB TNFRSF Tumor necrosis factor NP_001552 CD137, ILA, 4-1BB ligand receptor 9 receptor superfamily .2. member 9 6Ckine CCL21 6-Cysteine Chemokine NM_002989 Small-inducible cytokine A21, Beta chemokine exodus-2, Secondary lymphoid-tissue chemokine, SLC, SCYA21 ACE ACE Angiotensin-converting NP_000780 CD143, DCP, DCP1 enzyme .1. NP_690043 .1. ACE-2 ACE2 Angiotensin-converting NP_068576 ACE-related carboxypeptidase, enzyme 2 .1 Angiotensin-converting enzyme homolog ACTH ACTH Adrenocorticotropic NP_000930 POMC, Pro-opiomelanocortin, hormone .1. Corticotropin-lipotropin, NPP, NP_001030 Melanotropin gamma, Gamma- 333.1 MSH, Potential peptide, Corticotropin, Melanotropin alpha, Alpha-MSH, Corticotropin-like intermediary peptide, CLIP, Lipotropin beta, Beta-LPH, Lipotropin gamma, Gamma-LPH, Melanotropin beta, Beta-MSH, Beta-endorphin, Met-enkephalin ACTHR ACTHR Adrenocorticotropic NP_000520 Melanocortin receptor 2, MC2-R hormone receptor .1 Activin A INHBA Activin A NM_002192 Activin beta-A chain, Erythroid differentiation protein, EDF, INHBA Activin B INHBB Activin B NM_002193 Inhibin beta B chain, Activin beta-B chain Activin C INHBC Activin C NM005538 Inhibin, beta C Activin RIA ACVR1 Activin receptor type-1 NM_001105 Activin receptor type I, ACTR-I, Serine/threonine-protein kinase receptor R1, SKR1, Activin receptor-like kinase 2, ALK-2, TGF-B superfamily receptor type I, TSR-I, ACVRLK2 Activin RIB ACVR1B -
Prospects for NK Cell Therapy of Sarcoma
cancers Review Prospects for NK Cell Therapy of Sarcoma Mieszko Lachota 1 , Marianna Vincenti 2 , Magdalena Winiarska 3, Kjetil Boye 4 , Radosław Zago˙zd˙zon 5,* and Karl-Johan Malmberg 2,6,* 1 Department of Clinical Immunology, Doctoral School, Medical University of Warsaw, 02-006 Warsaw, Poland; [email protected] 2 Department of Cancer Immunology, Institute for Cancer Research, Oslo University Hospital, 0310 Oslo, Norway; [email protected] 3 Department of Immunology, Medical University of Warsaw, 02-097 Warsaw, Poland; [email protected] 4 Department of Oncology, Oslo University Hospital, 0310 Oslo, Norway; [email protected] 5 Department of Clinical Immunology, Medical University of Warsaw, 02-006 Warsaw, Poland 6 Center for Infectious Medicine, Department of Medicine Huddinge, Karolinska Institutet, Karolinska University Hospital, 141 86 Stockholm, Sweden * Correspondence: [email protected] (R.Z.); [email protected] (K.-J.M.) Received: 15 November 2020; Accepted: 9 December 2020; Published: 11 December 2020 Simple Summary: Sarcomas are a group of aggressive tumors originating from mesenchymal tissues. Patients with advanced disease have poor prognosis due to the ineffectiveness of current treatment protocols. A subset of lymphocytes called natural killer (NK) cells is capable of effective surveillance and clearance of sarcomas, constituting a promising tool for immunotherapeutic treatment. However, sarcomas can cause impairment in NK cell function, associated with enhanced tumor growth and dissemination. In this review, we discuss the molecular mechanisms of sarcoma-mediated suppression of NK cells and their implications for the design of novel NK cell-based immunotherapies against sarcoma. -
Atypical Chemokine Receptors and Their Roles in the Resolution of the Inflammatory Response
REVIEW published: 10 June 2016 doi: 10.3389/fimmu.2016.00224 Atypical Chemokine Receptors and Their Roles in the Resolution of the inflammatory Response Raffaella Bonecchi1,2 and Gerard J. Graham3* 1 Humanitas Clinical and Research Center, Rozzano, Italy, 2 Department of Biomedical Sciences, Humanitas University, Rozzano, Italy, 3 Chemokine Research Group, Institute of Infection, Immunity and Inflammation, University of Glasgow, Glasgow, UK Chemokines and their receptors are key mediators of the inflammatory process regulating leukocyte extravasation and directional migration into inflamed and infected tissues. The control of chemokine availability within inflamed tissues is necessary to attain a resolving environment and when this fails chronic inflammation ensues. Accordingly, vertebrates have adopted a number of mechanisms for removing chemokines from inflamed sites to help precipitate resolution. Over the past 15 years, it has become apparent that essential players in this process are the members of the atypical chemokine receptor (ACKR) family. Broadly speaking, this family is expressed on stromal cell types and scavenges Edited by: Mariagrazia Uguccioni, chemokines to either limit their spatial availability or to remove them from in vivo sites. Institute for Research in Biomedicine, Here, we provide a brief review of these ACKRs and discuss their involvement in the Switzerland resolution of inflammatory responses and the therapeutic implications of our current Reviewed by: knowledge. Mette M. M. Rosenkilde, University of Copenhagen, Keywords: chemokines, immunity, inflammation, scavenging, atypical receptors Denmark Mario Mellado, Spanish National Research Council, Spain INTRODUCTION *Correspondence: Gerard J. Graham An effective inflammatory response requires carefully regulated initiation, maintenance, and [email protected] resolution phases (1). -
Cancer-Associated Fibroblasts Promote Prostate Tumor Growth And
Neuwirt et al. Cell Communication and Signaling (2020) 18:11 https://doi.org/10.1186/s12964-019-0505-5 RESEARCH Open Access Cancer-associated fibroblasts promote prostate tumor growth and progression through upregulation of cholesterol and steroid biosynthesis Hannes Neuwirt1, Jan Bouchal2, Gvantsa Kharaishvili2, Christian Ploner3, Karin Jöhrer4,5, Florian Pitterl6, Anja Weber7, Helmut Klocker7 and Iris E. Eder7* Abstract Background: Androgen receptor targeted therapies have emerged as an effective tool to manage advanced prostate cancer (PCa). Nevertheless, frequent occurrence of therapy resistance represents a major challenge in the clinical management of patients, also because the molecular mechanisms behind therapy resistance are not yet fully understood. In the present study, we therefore aimed to identify novel targets to intervene with therapy resistance using gene expression analysis of PCa co-culture spheroids where PCa cells are grown in the presence of cancer-associated fibroblasts (CAFs) and which have been previously shown to be a reliable model for antiandrogen resistance. Methods: Gene expression changes of co-culture spheroids (LNCaP and DuCaP seeded together with CAFs) were identified by Illumina microarray profiling. Real-time PCR, Western blotting, immunohistochemistry and cell viability assays in 2D and 3D culture were performed to validate the expression of selected targets in vitro and in vivo. Cytokine profiling was conducted to analyze CAF-conditioned medium. Results: Gene expression analysis of co-culture spheroids revealed that CAFs induced a significant upregulation of cholesterol and steroid biosynthesis pathways in PCa cells. Cytokine profiling revealed high amounts of pro- inflammatory, pro-migratory and pro-angiogenic factors in the CAF supernatant. In particular, two genes, 3-hydroxy- 3-methylglutaryl-Coenzyme A synthase 2 (HMGCS2) and aldo-keto reductase family 1 member C3 (AKR1C3), were significantly upregulated in PCa cells upon co-culture with CAFs. -
Folate Receptor Β Regulates Integrin Cd11b/CD18 Adhesion of a Macrophage Subset to Collagen
Folate Receptor β Regulates Integrin CD11b/CD18 Adhesion of a Macrophage Subset to Collagen This information is current as Christian Machacek, Verena Supper, Vladimir Leksa, Goran of September 25, 2021. Mitulovic, Andreas Spittler, Karel Drbal, Miloslav Suchanek, Anna Ohradanova-Repic and Hannes Stockinger J Immunol 2016; 197:2229-2238; Prepublished online 17 August 2016; doi: 10.4049/jimmunol.1501878 Downloaded from http://www.jimmunol.org/content/197/6/2229 Supplementary http://www.jimmunol.org/content/suppl/2016/08/17/jimmunol.150187 Material 8.DCSupplemental http://www.jimmunol.org/ References This article cites 49 articles, 23 of which you can access for free at: http://www.jimmunol.org/content/197/6/2229.full#ref-list-1 Why The JI? Submit online. • Rapid Reviews! 30 days* from submission to initial decision by guest on September 25, 2021 • No Triage! Every submission reviewed by practicing scientists • Fast Publication! 4 weeks from acceptance to publication *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 © 2016 by The American Association of Immunologists, Inc. All rights reserved. Print ISSN: 0022-1767 Online ISSN: 1550-6606. The Journal of Immunology Folate Receptor b Regulates Integrin CD11b/CD18 Adhesion of a Macrophage Subset to Collagen Christian Machacek,* Verena Supper,* Vladimir Leksa,*,† Goran Mitulovic,‡ Andreas Spittler,x Karel Drbal,{,1 Miloslav Suchanek,{ Anna Ohradanova-Repic,* and Hannes Stockinger* Folate, also known as vitamin B9, is necessary for essential cellular functions such as DNA synthesis, repair, and methylation. -
Transcriptional Control of Tissue-Resident Memory T Cell Generation
Transcriptional control of tissue-resident memory T cell generation Filip Cvetkovski Submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy in the Graduate School of Arts and Sciences COLUMBIA UNIVERSITY 2019 © 2019 Filip Cvetkovski All rights reserved ABSTRACT Transcriptional control of tissue-resident memory T cell generation Filip Cvetkovski Tissue-resident memory T cells (TRM) are a non-circulating subset of memory that are maintained at sites of pathogen entry and mediate optimal protection against reinfection. Lung TRM can be generated in response to respiratory infection or vaccination, however, the molecular pathways involved in CD4+TRM establishment have not been defined. Here, we performed transcriptional profiling of influenza-specific lung CD4+TRM following influenza infection to identify pathways implicated in CD4+TRM generation and homeostasis. Lung CD4+TRM displayed a unique transcriptional profile distinct from spleen memory, including up-regulation of a gene network induced by the transcription factor IRF4, a known regulator of effector T cell differentiation. In addition, the gene expression profile of lung CD4+TRM was enriched in gene sets previously described in tissue-resident regulatory T cells. Up-regulation of immunomodulatory molecules such as CTLA-4, PD-1, and ICOS, suggested a potential regulatory role for CD4+TRM in tissues. Using loss-of-function genetic experiments in mice, we demonstrate that IRF4 is required for the generation of lung-localized pathogen-specific effector CD4+T cells during acute influenza infection. Influenza-specific IRF4−/− T cells failed to fully express CD44, and maintained high levels of CD62L compared to wild type, suggesting a defect in complete differentiation into lung-tropic effector T cells. -
Combining Immune Checkpoint Inhibitors: Established and Emerging Targets and Strategies to Improve Outcomes in Melanoma
King’s Research Portal DOI: 10.3389/fimmu.2019.00453 Document Version Publisher's PDF, also known as Version of record Link to publication record in King's Research Portal Citation for published version (APA): Khair, D. O., Bax, H. J., Mele, S., Crescioli, S., Pellizzari, G., Khiabany, A., Nakamura, M., Harris, R. J., French, E., Hoffmann, R. M., Williams, I. P., Cheung, K. K. A., Thair, B., Beales, C. T., Touizer, E., Signell, A. W., Tasnova, N. L., Spicer, J. F., Josephs, D. H., ... Karagiannis, S. N. (2019). Combining Immune Checkpoint Inhibitors: Established and Emerging Targets and Strategies to Improve Outcomes in Melanoma. Frontiers in Immunology , (MAR), [453]. https://doi.org/10.3389/fimmu.2019.00453 Citing this paper Please note that where the full-text provided on King's Research Portal is the Author Accepted Manuscript or Post-Print version this may differ from the final Published version. If citing, it is advised that you check and use the publisher's definitive version for pagination, volume/issue, and date of publication details. And where the final published version is provided on the Research Portal, if citing you are again advised to check the publisher's website for any subsequent corrections. General rights Copyright and moral rights for the publications made accessible in the Research Portal are retained by the authors and/or other copyright owners and it is a condition of accessing publications that users recognize and abide by the legal requirements associated with these rights. •Users may download and print one copy of any publication from the Research Portal for the purpose of private study or research. -
CD Markers Are Routinely Used for the Immunophenotyping of Cells
ptglab.com 1 CD MARKER ANTIBODIES www.ptglab.com Introduction The cluster of differentiation (abbreviated as CD) is a protocol used for the identification and investigation of cell surface molecules. So-called CD markers are routinely used for the immunophenotyping of cells. Despite this use, they are not limited to roles in the immune system and perform a variety of roles in cell differentiation, adhesion, migration, blood clotting, gamete fertilization, amino acid transport and apoptosis, among many others. As such, Proteintech’s mini catalog featuring its antibodies targeting CD markers is applicable to a wide range of research disciplines. PRODUCT FOCUS PECAM1 Platelet endothelial cell adhesion of blood vessels – making up a large portion molecule-1 (PECAM1), also known as cluster of its intracellular junctions. PECAM-1 is also CD Number of differentiation 31 (CD31), is a member of present on the surface of hematopoietic the immunoglobulin gene superfamily of cell cells and immune cells including platelets, CD31 adhesion molecules. It is highly expressed monocytes, neutrophils, natural killer cells, on the surface of the endothelium – the thin megakaryocytes and some types of T-cell. Catalog Number layer of endothelial cells lining the interior 11256-1-AP Type Rabbit Polyclonal Applications ELISA, FC, IF, IHC, IP, WB 16 Publications Immunohistochemical of paraffin-embedded Figure 1: Immunofluorescence staining human hepatocirrhosis using PECAM1, CD31 of PECAM1 (11256-1-AP), Alexa 488 goat antibody (11265-1-AP) at a dilution of 1:50 anti-rabbit (green), and smooth muscle KD/KO Validated (40x objective). alpha-actin (red), courtesy of Nicola Smart. PECAM1: Customer Testimonial Nicola Smart, a cardiovascular researcher “As you can see [the immunostaining] is and a group leader at the University of extremely clean and specific [and] displays Oxford, has said of the PECAM1 antibody strong intercellular junction expression, (11265-1-AP) that it “worked beautifully as expected for a cell adhesion molecule.” on every occasion I’ve tried it.” Proteintech thanks Dr. -
The Interleukin-18 Receptor Is Differentially Expressed in Whole
1 The interleukin-18 receptor is differentially expressed in the blood during sepsis. 2 3 Shahan Mamoor, MS1 4 [email protected] East Islip, NY, USA 5 6 We probed published and public microarray datasets1,2 to discover the most significant gene expression changes in the blood of patients with sepsis. We found significant induction 7 expression of IL18RAP and IL18R1, genes encoding subunits of the interleukin-18 receptor, in 8 whole blood from patients with sepsis. 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 Keywords: sepsis, septic shock, interleukin-18, IL18R1, IL18RAP, systems biology of septic 26 shock. 27 28 PAGE 1 OF 13 1 Septic shock is a leading cause of mortality in the United States and worldwide3. We 2 used published and public microarray datasets1,2 to identify differentially expressed genes in the 3 4 blood of patients with sepsis. We identified IL18R1 and IL18RAP as among the genes most 5 differentially expressed in blood in the septic state. 6 7 Methods 8 9 We utilized microarray datasets GSE1001591 and GSE264402 for this differential gene 10 11 expression analysis of blood cells during sepsis. GSE100509 was generated with whole blood 12 using Illumina HumanWG-6 v3.0 expression beadchip technology with n=12 whole blood from 13 control subjects and n=33 whole blood from sepsis patients. GSE26440 was generated using 14 15 Affymetrix Human Genome U133 Plus 2.0 Array technology with n=32 control subjects and 16 n=98 sepsis patients. The Benjamini and Hochberg method of p-value adjustment was used for 17 ranking of differential expression but raw p-values were used for assessment of statistical 18 19 significance of global differential expression. -
Practice Parameter for the Diagnosis and Management of Primary Immunodeficiency
Practice parameter Practice parameter for the diagnosis and management of primary immunodeficiency Francisco A. Bonilla, MD, PhD, David A. Khan, MD, Zuhair K. Ballas, MD, Javier Chinen, MD, PhD, Michael M. Frank, MD, Joyce T. Hsu, MD, Michael Keller, MD, Lisa J. Kobrynski, MD, Hirsh D. Komarow, MD, Bruce Mazer, MD, Robert P. Nelson, Jr, MD, Jordan S. Orange, MD, PhD, John M. Routes, MD, William T. Shearer, MD, PhD, Ricardo U. Sorensen, MD, James W. Verbsky, MD, PhD, David I. Bernstein, MD, Joann Blessing-Moore, MD, David Lang, MD, Richard A. Nicklas, MD, John Oppenheimer, MD, Jay M. Portnoy, MD, Christopher R. Randolph, MD, Diane Schuller, MD, Sheldon L. Spector, MD, Stephen Tilles, MD, Dana Wallace, MD Chief Editor: Francisco A. Bonilla, MD, PhD Co-Editor: David A. Khan, MD Members of the Joint Task Force on Practice Parameters: David I. Bernstein, MD, Joann Blessing-Moore, MD, David Khan, MD, David Lang, MD, Richard A. Nicklas, MD, John Oppenheimer, MD, Jay M. Portnoy, MD, Christopher R. Randolph, MD, Diane Schuller, MD, Sheldon L. Spector, MD, Stephen Tilles, MD, Dana Wallace, MD Primary Immunodeficiency Workgroup: Chairman: Francisco A. Bonilla, MD, PhD Members: Zuhair K. Ballas, MD, Javier Chinen, MD, PhD, Michael M. Frank, MD, Joyce T. Hsu, MD, Michael Keller, MD, Lisa J. Kobrynski, MD, Hirsh D. Komarow, MD, Bruce Mazer, MD, Robert P. Nelson, Jr, MD, Jordan S. Orange, MD, PhD, John M. Routes, MD, William T. Shearer, MD, PhD, Ricardo U. Sorensen, MD, James W. Verbsky, MD, PhD GlaxoSmithKline, Merck, and Aerocrine; has received payment for lectures from Genentech/ These parameters were developed by the Joint Task Force on Practice Parameters, representing Novartis, GlaxoSmithKline, and Merck; and has received research support from Genentech/ the American Academy of Allergy, Asthma & Immunology; the American College of Novartis and Merck. -
Supplementary Material DNA Methylation in Inflammatory Pathways Modifies the Association Between BMI and Adult-Onset Non- Atopic
Supplementary Material DNA Methylation in Inflammatory Pathways Modifies the Association between BMI and Adult-Onset Non- Atopic Asthma Ayoung Jeong 1,2, Medea Imboden 1,2, Akram Ghantous 3, Alexei Novoloaca 3, Anne-Elie Carsin 4,5,6, Manolis Kogevinas 4,5,6, Christian Schindler 1,2, Gianfranco Lovison 7, Zdenko Herceg 3, Cyrille Cuenin 3, Roel Vermeulen 8, Deborah Jarvis 9, André F. S. Amaral 9, Florian Kronenberg 10, Paolo Vineis 11,12 and Nicole Probst-Hensch 1,2,* 1 Swiss Tropical and Public Health Institute, 4051 Basel, Switzerland; [email protected] (A.J.); [email protected] (M.I.); [email protected] (C.S.) 2 Department of Public Health, University of Basel, 4001 Basel, Switzerland 3 International Agency for Research on Cancer, 69372 Lyon, France; [email protected] (A.G.); [email protected] (A.N.); [email protected] (Z.H.); [email protected] (C.C.) 4 ISGlobal, Barcelona Institute for Global Health, 08003 Barcelona, Spain; [email protected] (A.-E.C.); [email protected] (M.K.) 5 Universitat Pompeu Fabra (UPF), 08002 Barcelona, Spain 6 CIBER Epidemiología y Salud Pública (CIBERESP), 08005 Barcelona, Spain 7 Department of Economics, Business and Statistics, University of Palermo, 90128 Palermo, Italy; [email protected] 8 Environmental Epidemiology Division, Utrecht University, Institute for Risk Assessment Sciences, 3584CM Utrecht, Netherlands; [email protected] 9 Population Health and Occupational Disease, National Heart and Lung Institute, Imperial College, SW3 6LR London, UK; [email protected] (D.J.); [email protected] (A.F.S.A.) 10 Division of Genetic Epidemiology, Medical University of Innsbruck, 6020 Innsbruck, Austria; [email protected] 11 MRC-PHE Centre for Environment and Health, School of Public Health, Imperial College London, W2 1PG London, UK; [email protected] 12 Italian Institute for Genomic Medicine (IIGM), 10126 Turin, Italy * Correspondence: [email protected]; Tel.: +41-61-284-8378 Int.