Analysis of Intra-Tumoral Macrophages and T Cells in Non-Small Cell Lung Cancer (NSCLC) Indicates a Role for Immune Checkpoint and CD200-CD200R Interactions
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ENSG Gene Encodes Effector TCR Pathway Costimulation Inhibitory/Exhaustion Synapse/Adhesion Chemokines/Receptors
ENSG Gene Encodes Effector TCR pathway Costimulation Inhibitory/exhaustion Synapse/adhesion Chemokines/receptors ENSG00000111537 IFNG IFNg x ENSG00000109471 IL2 IL-2 x ENSG00000232810 TNF TNFa x ENSG00000271503 CCL5 CCL5 x x ENSG00000139187 KLRG1 Klrg1 x ENSG00000117560 FASLG Fas ligand x ENSG00000121858 TNFSF10 TRAIL x ENSG00000134545 KLRC1 Klrc1 / NKG2A x ENSG00000213809 KLRK1 Klrk1 / NKG2D x ENSG00000188389 PDCD1 PD-1 x x ENSG00000117281 CD160 CD160 x x ENSG00000134460 IL2RA IL-2 receptor x subunit alpha ENSG00000110324 IL10RA IL-10 receptor x subunit alpha ENSG00000115604 IL18R1 IL-18 receptor 1 x ENSG00000115607 IL18RAP IL-18 receptor x accessory protein ENSG00000081985 IL12RB2 IL-12 receptor x beta 2 ENSG00000186810 CXCR3 CXCR3 x x ENSG00000005844 ITGAL CD11a x ENSG00000160255 ITGB2 CD18; Integrin x x beta-2 ENSG00000156886 ITGAD CD11d x ENSG00000140678 ITGAX; CD11c x x Integrin alpha-X ENSG00000115232 ITGA4 CD49d; Integrin x x alpha-4 ENSG00000169896 ITGAM CD11b; Integrin x x alpha-M ENSG00000138378 STAT4 Stat4 x ENSG00000115415 STAT1 Stat1 x ENSG00000170581 STAT2 Stat2 x ENSG00000126561 STAT5a Stat5a x ENSG00000162434 JAK1 Jak1 x ENSG00000100453 GZMB Granzyme B x ENSG00000145649 GZMA Granzyme A x ENSG00000180644 PRF1 Perforin 1 x ENSG00000115523 GNLY Granulysin x ENSG00000100450 GZMH Granzyme H x ENSG00000113088 GZMK Granzyme K x ENSG00000057657 PRDM1 Blimp-1 x ENSG00000073861 TBX21 T-bet x ENSG00000115738 ID2 ID2 x ENSG00000176083 ZNF683 Hobit x ENSG00000137265 IRF4 Interferon x regulatory factor 4 ENSG00000140968 IRF8 Interferon -
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. -
3034.Full.Pdf
Characterization of the CD200 Receptor Family in Mice and Humans and Their Interactions with CD200 This information is current as Gavin J. Wright, Holly Cherwinski, Mildred Foster-Cuevas, of September 28, 2021. Gary Brooke, Michael J. Puklavec, Mike Bigler, Yaoli Song, Maria Jenmalm, Dan Gorman, Terri McClanahan, Man-Ru Liu, Marion H. Brown, Jonathon D. Sedgwick, Joseph H. Phillips and A. Neil Barclay J Immunol 2003; 171:3034-3046; ; Downloaded from doi: 10.4049/jimmunol.171.6.3034 http://www.jimmunol.org/content/171/6/3034 References This article cites 39 articles, 20 of which you can access for free at: http://www.jimmunol.org/ http://www.jimmunol.org/content/171/6/3034.full#ref-list-1 Why The JI? Submit online. • Rapid Reviews! 30 days* from submission to initial decision • No Triage! Every submission reviewed by practicing scientists by guest on September 28, 2021 • 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 © 2003 by The American Association of Immunologists All rights reserved. Print ISSN: 0022-1767 Online ISSN: 1550-6606. The Journal of Immunology Characterization of the CD200 Receptor Family in Mice and Humans and Their Interactions with CD2001 Gavin J. -
Whole-Genome Microarray Detects Deletions and Loss of Heterozygosity of Chromosome 3 Occurring Exclusively in Metastasizing Uveal Melanoma
Anatomy and Pathology Whole-Genome Microarray Detects Deletions and Loss of Heterozygosity of Chromosome 3 Occurring Exclusively in Metastasizing Uveal Melanoma Sarah L. Lake,1 Sarah E. Coupland,1 Azzam F. G. Taktak,2 and Bertil E. Damato3 PURPOSE. To detect deletions and loss of heterozygosity of disease is fatal in 92% of patients within 2 years of diagnosis. chromosome 3 in a rare subset of fatal, disomy 3 uveal mela- Clinical and histopathologic risk factors for UM metastasis noma (UM), undetectable by fluorescence in situ hybridization include large basal tumor diameter (LBD), ciliary body involve- (FISH). ment, epithelioid cytomorphology, extracellular matrix peri- ϩ ETHODS odic acid-Schiff-positive (PAS ) loops, and high mitotic M . Multiplex ligation-dependent probe amplification 3,4 5 (MLPA) with the P027 UM assay was performed on formalin- count. Prescher et al. showed that a nonrandom genetic fixed, paraffin-embedded (FFPE) whole tumor sections from 19 change, monosomy 3, correlates strongly with metastatic death, and the correlation has since been confirmed by several disomy 3 metastasizing UMs. Whole-genome microarray analy- 3,6–10 ses using a single-nucleotide polymorphism microarray (aSNP) groups. Consequently, fluorescence in situ hybridization were performed on frozen tissue samples from four fatal dis- (FISH) detection of chromosome 3 using a centromeric probe omy 3 metastasizing UMs and three disomy 3 tumors with Ͼ5 became routine practice for UM prognostication; however, 5% years’ metastasis-free survival. to 20% of disomy 3 UM patients unexpectedly develop metas- tases.11 Attempts have therefore been made to identify the RESULTS. Two metastasizing UMs that had been classified as minimal region(s) of deletion on chromosome 3.12–15 Despite disomy 3 by FISH analysis of a small tumor sample were found these studies, little progress has been made in defining the key on MLPA analysis to show monosomy 3. -
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. -
CD200 and Its Receptor, CD200R, Modulate Bone Mass Via the Differentiation of Osteoclasts
CD200 and its receptor, CD200R, modulate bone mass via the differentiation of osteoclasts Weiguo Cui*†, Esteban Cuartas*, Juan Ke*‡, Qing Zhang*, Halldor B. Einarsson*, Jonathon D. Sedgwick§¶, Jun Liʈ, and Agne` s Vignery*,** *Department of Orthopedics and Rehabilitation, Yale School of Medicine, 310 Cedar Street, New Haven, CT 06510; §Schering–Plough Biopharma (DNAX), Palo Alto, CA 94304; and ʈDepartment of Immunology and Inflammation, Boehringer Ingelheim Pharmaceuticals, Inc., Ridgefield, CT 06877 Edited by Richard A. Flavell, Yale University School of Medicine, New Haven, CT, and approved July 25, 2007 (received for review April 11, 2007) Fusion of macrophages is an essential step in the differentiation of plays a role in the recognition of self and in the fusion of macro- osteoclasts, which play a central role in the development and remod- phages (10). To gain further insight into the mechanism of mac- eling of bone. Osteoclasts are important mediators of bone loss, rophage fusion, we subjected fusing alveolar macrophages from rats which leads, for example, to osteoporosis. Macrophage fusion recep- to genome-wide oligonucleotide microarray analysis, and we dis- tor/signal regulatory protein ␣ (MFR/SIRP␣) and its ligand CD47, covered the expression of CD200 de novo at the onset of fusion. which are members of the Ig superfamily (IgSF), have been implicated CD200 also belongs to the IgSF and has a short cytoplasmic tail. in the fusion of macrophages. We show that CD200, which is not It is expressed on various types of mouse and human cells (see ref. expressed in cells that belong to the myeloid lineage, is strongly 11 for a review) and on mouse osteoblasts (12), but not on expressed in macrophages at the onset of fusion. -
CD226 T Cells Expressing the Receptors TIGIT and Divergent Phenotypes of Human Regulatory
The Journal of Immunology Divergent Phenotypes of Human Regulatory T Cells Expressing the Receptors TIGIT and CD226 Christopher A. Fuhrman,*,1 Wen-I Yeh,*,1 Howard R. Seay,* Priya Saikumar Lakshmi,* Gaurav Chopra,† Lin Zhang,* Daniel J. Perry,* Stephanie A. McClymont,† Mahesh Yadav,† Maria-Cecilia Lopez,‡ Henry V. Baker,‡ Ying Zhang,x Yizheng Li,{ Maryann Whitley,{ David von Schack,x Mark A. Atkinson,* Jeffrey A. Bluestone,‡ and Todd M. Brusko* Regulatory T cells (Tregs) play a central role in counteracting inflammation and autoimmunity. A more complete understanding of cellular heterogeneity and the potential for lineage plasticity in human Treg subsets may identify markers of disease pathogenesis and facilitate the development of optimized cellular therapeutics. To better elucidate human Treg subsets, we conducted direct transcriptional profiling of CD4+FOXP3+Helios+ thymic-derived Tregs and CD4+FOXP3+Helios2 T cells, followed by comparison with CD4+FOXP32Helios2 T conventional cells. These analyses revealed that the coinhibitory receptor T cell Ig and ITIM domain (TIGIT) was highly expressed on thymic-derived Tregs. TIGIT and the costimulatory factor CD226 bind the common ligand CD155. Thus, we analyzed the cellular distribution and suppressive activity of isolated subsets of CD4+CD25+CD127lo/2 T cells expressing CD226 and/or TIGIT. We observed TIGIT is highly expressed and upregulated on Tregs after activation and in vitro expansion, and is associated with lineage stability and suppressive capacity. Conversely, the CD226+TIGIT2 population was associated with reduced Treg purity and suppressive capacity after expansion, along with a marked increase in IL-10 and effector cytokine production. These studies provide additional markers to delineate functionally distinct Treg subsets that may help direct cellular therapies and provide important phenotypic markers for assessing the role of Tregs in health and disease. -
Associations Between FCGR3A Polymorphisms and Susceptibility to Rheumatoid Arthritis: a Metaanalysis YOUNG HO LEE, JONG DAE JI, and GWAN GYU SONG
Associations Between FCGR3A Polymorphisms and Susceptibility to Rheumatoid Arthritis: A Metaanalysis YOUNG HO LEE, JONG DAE JI, and GWAN GYU SONG ABSTRACT. Objective. To investigate whether the Fcγ receptor (FCGR) polymorphism confers susceptibility to rheumatoid arthritis (RA). Methods. We conducted metaanalyses on the associations between FCGR polymorphisms and RA susceptibility as determined using (1) allele contrast, (2) recessive models, (3) dominant models, and (4) contrast of homozygotes, using fixed or random effects models. Results. A total of 10 separate comparisons were considered, which comprised 6 European and 4 Asian population samples. Metaanalysis of FCGR3A polymorphism revealed a significant associa- tion between the VV genotype and the risk of developing RA relative to the VF+FF genotype (OR 1.256, 95% CI 1.045–1.510, p = 0.015), with no evidence of between-study heterogeneity (p = 0.167). In subjects of European descent, a stronger association was observed between the VV geno- type and RA than for the FF genotype (OR 1.374, 95% CI 1.101–1.714, p = 0.005). In Asians, no such association was found. Metaanalysis of the VV vs FF genotype revealed a significantly increased OR in Europeans (OR 1.399, 95% CI 1.107–1.769, p = 0.005), but not in Asians. No asso- ciation was found between RA and the FCGR2A and FCGR3B polymorphisms in all subjects and in European and Asian populations, except for the NA22 vs NA11 of FCGR3B in Europeans. Conclusion. No relation was found between the FCGR2A polymorphism and susceptibility to RA in Europeans or Asians. The FCGR3A polymorphism was found to be associated with RA in Europeans but not in Asians. -
Single-Cell RNA Sequencing Demonstrates the Molecular and Cellular Reprogramming of Metastatic Lung Adenocarcinoma
ARTICLE https://doi.org/10.1038/s41467-020-16164-1 OPEN Single-cell RNA sequencing demonstrates the molecular and cellular reprogramming of metastatic lung adenocarcinoma Nayoung Kim 1,2,3,13, Hong Kwan Kim4,13, Kyungjong Lee 5,13, Yourae Hong 1,6, Jong Ho Cho4, Jung Won Choi7, Jung-Il Lee7, Yeon-Lim Suh8,BoMiKu9, Hye Hyeon Eum 1,2,3, Soyean Choi 1, Yoon-La Choi6,10,11, Je-Gun Joung1, Woong-Yang Park 1,2,6, Hyun Ae Jung12, Jong-Mu Sun12, Se-Hoon Lee12, ✉ ✉ Jin Seok Ahn12, Keunchil Park12, Myung-Ju Ahn 12 & Hae-Ock Lee 1,2,3,6 1234567890():,; Advanced metastatic cancer poses utmost clinical challenges and may present molecular and cellular features distinct from an early-stage cancer. Herein, we present single-cell tran- scriptome profiling of metastatic lung adenocarcinoma, the most prevalent histological lung cancer type diagnosed at stage IV in over 40% of all cases. From 208,506 cells populating the normal tissues or early to metastatic stage cancer in 44 patients, we identify a cancer cell subtype deviating from the normal differentiation trajectory and dominating the metastatic stage. In all stages, the stromal and immune cell dynamics reveal ontological and functional changes that create a pro-tumoral and immunosuppressive microenvironment. Normal resident myeloid cell populations are gradually replaced with monocyte-derived macrophages and dendritic cells, along with T-cell exhaustion. This extensive single-cell analysis enhances our understanding of molecular and cellular dynamics in metastatic lung cancer and reveals potential diagnostic and therapeutic targets in cancer-microenvironment interactions. 1 Samsung Genome Institute, Samsung Medical Center, Seoul 06351, Korea. -
Associations Between FCGR3A Polymorphisms and Susceptibility to Rheumatoid Arthritis: a Metaanalysis YOUNG HO LEE, JONG DAE JI, and GWAN GYU SONG
Associations Between FCGR3A Polymorphisms and Susceptibility to Rheumatoid Arthritis: A Metaanalysis YOUNG HO LEE, JONG DAE JI, and GWAN GYU SONG ABSTRACT. Objective. To investigate whether the Fcγ receptor (FCGR) polymorphism confers susceptibility to rheumatoid arthritis (RA). Methods. We conducted metaanalyses on the associations between FCGR polymorphisms and RA susceptibility as determined using (1) allele contrast, (2) recessive models, (3) dominant models, and (4) contrast of homozygotes, using fixed or random effects models. Results. A total of 10 separate comparisons were considered, which comprised 6 European and 4 Asian population samples. Metaanalysis of FCGR3A polymorphism revealed a significant associa- tion between the VV genotype and the risk of developing RA relative to the VF+FF genotype (OR 1.256, 95% CI 1.045–1.510, p = 0.015), with no evidence of between-study heterogeneity (p = 0.167). In subjects of European descent, a stronger association was observed between the VV geno- type and RA than for the FF genotype (OR 1.374, 95% CI 1.101–1.714, p = 0.005). In Asians, no such association was found. Metaanalysis of the VV vs FF genotype revealed a significantly increased OR in Europeans (OR 1.399, 95% CI 1.107–1.769, p = 0.005), but not in Asians. No asso- ciation was found between RA and the FCGR2A and FCGR3B polymorphisms in all subjects and in European and Asian populations, except for the NA22 vs NA11 of FCGR3B in Europeans. Conclusion. No relation was found between the FCGR2A polymorphism and susceptibility to RA in Europeans or Asians. The FCGR3A polymorphism was found to be associated with RA in Europeans but not in Asians. -
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,