Adenosine Signature Genes Associate with Tumor Regression in Renal Cell Carcinoma
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(CD147) Is Induced by C/Ebpβ and Is Differentially Expressed in ALK+
Laboratory Investigation (2017) 97, 1095–1102 © 2017 USCAP, Inc All rights reserved 0023-6837/17 EMMPRIN (CD147) is induced by C/EBPβ and is differentially expressed in ALK+ and ALK − anaplastic large-cell lymphoma Janine Schmidt1, Irina Bonzheim1, Julia Steinhilber1, Ivonne A Montes-Mojarro1, Carlos Ortiz-Hidalgo2, Wolfram Klapper3, Falko Fend1 and Leticia Quintanilla-Martínez1 Anaplastic lymphoma kinase-positive (ALK+) anaplastic large-cell lymphoma (ALCL) is characterized by expression of oncogenic ALK fusion proteins due to the translocation t(2;5)(p23;q35) or variants. Although genotypically a T-cell lymphoma, ALK+ ALCL cells frequently show loss of T-cell-specific surface antigens and expression of monocytic markers. C/EBPβ, a transcription factor constitutively overexpressed in ALK+ ALCL cells, has been shown to play an important role in the activation and differentiation of macrophages and is furthermore capable of transdifferentiating B-cell and T-cell progenitors to macrophages in vitro. To analyze the role of C/EBPβ for the unusual phenotype of ALK+ ALCL cells, C/EBPβ was knocked down by RNA interference in two ALK+ ALCL cell lines, and surface antigen expression profiles of these cell lines were generated using a Human Cell Surface Marker Screening Panel (BD Biosciences). Interesting candidate antigens were further analyzed by immunohistochemistry in primary ALCL ALK+ and ALK − cases. Antigen expression profiling revealed marked changes in the expression of the activation markers CD25, CD30, CD98, CD147, and CD227 after C/EBPβ knockdown. Immunohistochemical analysis confirmed a strong, membranous CD147 (EMMPRIN) expression in ALK+ ALCL cases. In contrast, ALK − ALCL cases showed a weaker CD147 expression. -
CD46 Expression Is Indicative of Shorter Revival-Free Survival for Ovarian Cancer Patients
ANTICANCER RESEARCH 26: 4943-4948 (2006) CD46 Expression is Indicative of Shorter Revival-free Survival for Ovarian Cancer Patients PAWEL SUROWIAK1,2,3, VERENA MATERNA1, ADAM MACIEJCZYK3, IRINA KAPLENKO4, MAREK SPACZYNSKI4, MANFRED DIETEL1, HERMANN LAGE1 and MACIEJ ZABEL2,5 1Institute of Pathology, Charité Campus Mitte, D-10117 Berlin, Germany; 2Chair and Department of Histology and Embryology, University School of Medicine, ul. Chalubinskiego 6a, 50-356 Wroclaw; 3Lower Silesian Centre of Oncology, pl. Hirszfelda 12, 53-413 Wroclaw; 4Chair and Department of Obstetrics and Gynaecology and 5Chair and Department of Histology and Embryology, University School of Medicine, ul. Swiecickiego 6, 60-781 Poznan, Poland Abstract. Background: The membrane cofactor protein CD46 cure very rarely. Despite the introduction of novel represents a complement inhibitor, which protects autologous chemotherapy regimens, the frequency of 5 - year survival cells from complement - mediated cytotoxicity. CD46 may of patients at all clinical stages has not exceeded 40%, in the exhibit the potential to protect tumor cells from the immune last 20 years (2). Therefore, intense efforts are being made responses of the host. The present study aimed to evaluate the in numerous centres to detect new prognostic factors, which prognostic significance of CD46 expression in ovarian cancers. might prove valuable towards studies on new therapeutic Materials and Methods: The analyses were performed on 73 approaches. ovarian cancer samples. Immunohistochemical reactions were The absence of the host’s immune response to the performed on paraffin sections of tumors using monoclonal presence of tumor cells represents one of the circumstances, antibodies directed against CD46. The immunohistochemical which promotes development of the tumor. -
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. -
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. -
List of Genes Used in Cell Type Enrichment Analysis
List of genes used in cell type enrichment analysis Metagene Cell type Immunity ADAM28 Activated B cell Adaptive CD180 Activated B cell Adaptive CD79B Activated B cell Adaptive BLK Activated B cell Adaptive CD19 Activated B cell Adaptive MS4A1 Activated B cell Adaptive TNFRSF17 Activated B cell Adaptive IGHM Activated B cell Adaptive GNG7 Activated B cell Adaptive MICAL3 Activated B cell Adaptive SPIB Activated B cell Adaptive HLA-DOB Activated B cell Adaptive IGKC Activated B cell Adaptive PNOC Activated B cell Adaptive FCRL2 Activated B cell Adaptive BACH2 Activated B cell Adaptive CR2 Activated B cell Adaptive TCL1A Activated B cell Adaptive AKNA Activated B cell Adaptive ARHGAP25 Activated B cell Adaptive CCL21 Activated B cell Adaptive CD27 Activated B cell Adaptive CD38 Activated B cell Adaptive CLEC17A Activated B cell Adaptive CLEC9A Activated B cell Adaptive CLECL1 Activated B cell Adaptive AIM2 Activated CD4 T cell Adaptive BIRC3 Activated CD4 T cell Adaptive BRIP1 Activated CD4 T cell Adaptive CCL20 Activated CD4 T cell Adaptive CCL4 Activated CD4 T cell Adaptive CCL5 Activated CD4 T cell Adaptive CCNB1 Activated CD4 T cell Adaptive CCR7 Activated CD4 T cell Adaptive DUSP2 Activated CD4 T cell Adaptive ESCO2 Activated CD4 T cell Adaptive ETS1 Activated CD4 T cell Adaptive EXO1 Activated CD4 T cell Adaptive EXOC6 Activated CD4 T cell Adaptive IARS Activated CD4 T cell Adaptive ITK Activated CD4 T cell Adaptive KIF11 Activated CD4 T cell Adaptive KNTC1 Activated CD4 T cell Adaptive NUF2 Activated CD4 T cell Adaptive PRC1 Activated -
Finding Drug Targeting Mechanisms with Genetic Evidence for Parkinson’S Disease
bioRxiv preprint doi: https://doi.org/10.1101/2020.07.24.208975; this version posted July 24, 2020. 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. Finding drug targeting mechanisms with genetic evidence for Parkinson’s disease Catherine S. Storm1,*, Demis A. Kia1, Mona Almramhi1, Sara Bandres-Ciga2, Chris Finan3, Aroon D. Hingorani3,4,5, International Parkinson’s Disease Genomics Consortium (IPDGC), Nicholas W. Wood1,6,* 1 Department of Clinical and Movement Neurosciences, University College London Queen Square Institute of Neurology, London, WC1N 3BG, United Kingdom 2 Molecular Genetics Section, Laboratory of Neurogenetics, National Institute on Aging, National Institutes of Health, Bethesda, MD 20892, United States of America 3 Institute of Cardiovascular Science, Faculty of Population Health, University College London, London WC1E 6BT, United Kingdom 4 University College London British Heart Foundation Research Accelerator Centre, New Delhi, India 5 Health Data Research UK, 222 Euston Road, London, United Kingdom 6 Lead Contact * Correspondence: [email protected] (CSS), [email protected] (NWW) Summary Parkinson’s disease (PD) is a neurodegenerative movement disorder that currently has no disease-modifying treatment, partly owing to inefficiencies in drug target identification and validation using human evidence. Here, we use Mendelian randomization to investigate more than 3000 genes that encode druggable proteins, seeking to predict their efficacy as drug targets for PD. We use expression and protein quantitative trait loci for druggable genes to mimic exposure to medications, and we examine the causal effect on PD risk (in two large case-control cohorts), PD age at onset and progression. -
A Molecular Switch from STAT2-IRF9 to ISGF3 Underlies Interferon-Induced Gene Transcription
ARTICLE https://doi.org/10.1038/s41467-019-10970-y OPEN A molecular switch from STAT2-IRF9 to ISGF3 underlies interferon-induced gene transcription Ekaterini Platanitis 1, Duygu Demiroz1,5, Anja Schneller1,5, Katrin Fischer1, Christophe Capelle1, Markus Hartl 1, Thomas Gossenreiter 1, Mathias Müller2, Maria Novatchkova3,4 & Thomas Decker 1 Cells maintain the balance between homeostasis and inflammation by adapting and inte- grating the activity of intracellular signaling cascades, including the JAK-STAT pathway. Our 1234567890():,; understanding of how a tailored switch from homeostasis to a strong receptor-dependent response is coordinated remains limited. Here, we use an integrated transcriptomic and proteomic approach to analyze transcription-factor binding, gene expression and in vivo proximity-dependent labelling of proteins in living cells under homeostatic and interferon (IFN)-induced conditions. We show that interferons (IFN) switch murine macrophages from resting-state to induced gene expression by alternating subunits of transcription factor ISGF3. Whereas preformed STAT2-IRF9 complexes control basal expression of IFN-induced genes (ISG), both type I IFN and IFN-γ cause promoter binding of a complete ISGF3 complex containing STAT1, STAT2 and IRF9. In contrast to the dogmatic view of ISGF3 formation in the cytoplasm, our results suggest a model wherein the assembly of the ISGF3 complex occurs on DNA. 1 Max Perutz Labs (MPL), University of Vienna, Vienna 1030, Austria. 2 Institute of Animal Breeding and Genetics, University of Veterinary Medicine Vienna, Vienna 1210, Austria. 3 Institute of Molecular Biotechnology of the Austrian Academy of Sciences (IMBA), Vienna 1030, Austria. 4 Research Institute of Molecular Pathology (IMP), Vienna Biocenter (VBC), Vienna 1030, Austria. -
B-Cell Receptor Pathway Inhibitors Affect CD20 Levels and Impair Antitumor Activity of Anti-CD20 Monoclonal Antibodies
Letters to the Editor 1163 13 Kuruvilla J, Gutierrez M, Shah BD, Gabrail NY, de Nully Brown P, 14 Yu L, Mohamed AJ, Simonson OE, Vargas L, Blomberg KE, Bjorkstrand B et al. Stone RM et al. Preliminary evidence of anti tumor activity of selinexor Proteasome-dependent autoregulation of Bruton tyrosine kinase (Btk) promoter (KPT-330) in a phase I trial of a first-in-class oral selective inhibitor via NF-kappaB. Blood 2008; 111: 4617–4626. of nuclear export (SINE) in patients (pts) with relapsed/refractory non 15BurgerJA,BurgerM,KippsTJ.Chronic lymphocytic leukemia B cells Hodgkin’s lymphoma (NHL) and chronic lymphocytic leukemia (CLL). Blood 2013; express functional CXCR4 chemokine receptors that mediate spontaneous 122: 90. migration beneath bone marrow stromal cells. Blood 1999; 94: 3658–3667. Supplementary Information accompanies this paper on the Leukemia website (http://www.nature.com/leu) B-cell receptor pathway inhibitors affect CD20 levels and impair antitumor activity of anti-CD20 monoclonal antibodies Leukemia (2014) 28, 1163–1167; doi:10.1038/leu.2014.12 also tested a primary MCL sample and upon treatment with BCR inhibitors observed a significant downregulation of surface CD20 levels and a trend towards impaired R-CDC and O-CDC (Supplementary Figure 1b). Moreover, we determined the Signaling via the aberrantly activated B-cell receptor (BCR) has a influence of BCR inhibitors on CD20 surface levels in a critical role in the pathogenesis of B-cell tumors by promoting series of 15 tumor cell lines, including Burkitt’s lymphoma (Ramos, survival and clonal expansion of malignant B cells.1,2 Multiple Daudi and BJAB), ALL (NALM-6), diffuse large B-cell lymphoma preclinical studies indicate that blocking various components of (BCR-dependent Ly-1, Ly-7, Ly-10, DHL-6, HBL-1, U2932 and the BCR signaling pathway holds a great therapeutic potential in BCR-independent Ly-4, Ly-19, Pfeiffer) and CLL (EHEB and MEC-1). -
CD38, CD157, and RAGE As Molecular Determinants for Social Behavior
cells Review CD38, CD157, and RAGE as Molecular Determinants for Social Behavior Haruhiro Higashida 1,2,* , Minako Hashii 1,3, Yukie Tanaka 4, Shigeru Matsukawa 5, Yoshihiro Higuchi 6, Ryosuke Gabata 1, Makoto Tsubomoto 1, Noriko Seishima 1, Mitsuyo Teramachi 1, Taiki Kamijima 1, Tsuyoshi Hattori 7, Osamu Hori 7 , Chiharu Tsuji 1, Stanislav M. Cherepanov 1 , Anna A. Shabalova 1, Maria Gerasimenko 1, Kana Minami 1, Shigeru Yokoyama 1, Sei-ichi Munesue 8, Ai Harashima 8, Yasuhiko Yamamoto 8, Alla B. Salmina 1,2 and Olga Lopatina 2 1 Department of Basic Research on Social Recognition and Memory, Research Center for Child Mental Development, Kanazawa University, Kanazawa 920-8640, Japan; [email protected] (M.H.); [email protected] (R.G.); [email protected] (M.T.); [email protected] (N.S.); [email protected] (M.T.); [email protected] (T.K.); [email protected] (C.T.); [email protected] (S.M.C.); [email protected] (A.A.S.); [email protected] (M.G.); minami-k@staff.kanazawa-u.ac.jp (K.M.); [email protected] (S.Y.) 2 Laboratory of Social Brain Study, Research Institute of Molecular Medicine and Pathobiochemistry, Krasnoyarsk State Medical University named after Prof. V.F. Voino-Yasenetsky, Krasnoyarsk 660022, Russia; [email protected] (A.B.S.); [email protected] (O.L.) 3 Division of Molecular Genetics and Clinical Research, National Hospital Organization Nanao Hospital, Nanao 926-0841, Japan 4 Molecular Biology and Chemistry, Faculty of Medical Science, University of Fukui, Fukui -
32-6317: BST1 Human Description Product Info
9853 Pacific Heights Blvd. Suite D. San Diego, CA 92121, USA Tel: 858-263-4982 Email: [email protected] 32-6317: BST1 Human Bone Marrow Stromal Cell Antigen 1, ADP-Ribosyl Cyclase 2, Bone Marrow Stromal Antigen 1, Cyclic ADP- Alternative Ribose Hydrolase 2, NAD(+) Nucleosidase, CADPr Hydrolase 2, ADP-Ribosyl Cyclase/Cyclic ADP-Ribose Name : Hydrolase 2, CD157 Antigen, EC 3.2.2.6, CD157, BST-1, ADP-ribosyl cyclase/cyclic ADP-ribose hydrolase 2, ADP-ribosyl cyclase 2, Bone marrow stromal antigen 1, Cyclic ADP-ribose hydrolase 2, cADPr hydrolase 2. Description Source: Sf9, Baculovirus cells. Sterile filtered colorless solution. BST1 (Bone Marrow Stromal Cell Antigen 1), is a GPI (glycosylphosphatidylinositol) anchored membrane protein which is part of the CD38 family. BST1 was initially recognized as a bone marrow stromal cell molecule. BST1 is an ectoenzyme sharing more than a few features with ADP-ribosyl cyclase CD38. BST1 together with CD38, exhibit both DP-ribosyl cyclase and cyclinc ADP ribose hydrolase activities. BST1 participates in rheumatoid arthritis due to its enhanced expression in RA-derived bone marrow stromal cell lines. Moreover, BST1 is expressed by cells of the myeloid lineage and could perform as a receptor with a signal transduction capability. BST1 produced in Sf9 Baculovirus cells is a single, glycosylated polypeptide chain containing 267 amino acids (33-293a.a.) and having a molecular mass of 30.5kDa. (Molecular size on SDS-PAGE will appear at approximately 40-57kDa).BST1 is expressed with a 6 amino acid His tag at C-Terminus and purified by proprietary chromatographic techniques. -
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. -
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,