Novel Alternatively Spliced ADAM8 Isoforms Contribute to the Aggressive Bone Metastatic Phenotype of Lung Cancer
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Peking University-Juntendo University Joint Symposium on Cancer Research and Treatment ADAM28 (A Disintegrin and Metalloproteinase 28) in Cancer Cell Proliferation and Progression
Whatʼs New from Juntendo University, Tokyo Juntendo Medical Journal 2017. 63(5), 322-325 Peking University - Juntendo University Joint Symposium on Cancer Research and Treatment ADAM28 (a Disintegrin and Metalloproteinase 28) in Cancer Cell Proliferation and Progression YASUNORI OKADA* *Department of Pathophysiology for Locomotive and Neoplastic Diseases, Juntendo University Graduate School of Medicine, Tokyo, Japan A disintegrinandmetalloproteinase 28 (ADAM28) is overexpressedpredominantlyby carcinoma cells in more than 70% of the non-small cell lung carcinomas, showing positive correlations with carcinoma cell proliferation and metastasis. ADAM28 cleaves insulin-like growth factor binding protein-3 (IGFBP-3) in the IGF-I/IGFBP-3 complex, leading to stimulation of cell proliferation by intact IGF-I released from the complex. ADAM28 also degrades von Willebrand factor (VWF), which induces apoptosis in human carcinoma cell lines with negligible ADAM28 expression, andthe VWF digestionby ADAM28-expressing carcinoma cells facilitates them to escape from VWF-induced apoptosis, resulting in promotion of metastasis. We have developed human antibodies against ADAM28 andshown that one of them significantly inhibits tumor growth andmetastasis using lung adenocarcinoma cells. Our data suggest that ADAM28 may be a new molecular target for therapy of the patients with ADAM28-expressing non-small cell lung carcinoma. Key words: a disintegrin and metalloproteinase 28 (ADAM28), cell proliferation, invasion, metastasis, human antibody inhibitor Introduction human cancers 2). However, development of the synthetic inhibitors of MMPs andtheir application Cancer cell proliferation andprogression are for treatment of the cancer patients failed 3). modulated by proteolytic cleavage of tissue micro- On the other hand, members of the ADAM (a environmental factors such as extracellular matrix disintegrin and metalloproteinase) gene family, (ECM), growth factors andcytokines, receptors another family belonging to the metzincin gene andcell adhesionmolecules. -
Human ADAM12 Quantikine ELISA
Quantikine® ELISA Human ADAM12 Immunoassay Catalog Number DAD120 For the quantitative determination of A Disintegrin And Metalloproteinase domain- containing protein 12 (ADAM12) concentrations in cell culture supernates, serum, plasma, and urine. This package insert must be read in its entirety before using this product. For research use only. Not for use in diagnostic procedures. TABLE OF CONTENTS SECTION PAGE INTRODUCTION .....................................................................................................................................................................1 PRINCIPLE OF THE ASSAY ...................................................................................................................................................2 LIMITATIONS OF THE PROCEDURE .................................................................................................................................2 TECHNICAL HINTS .................................................................................................................................................................2 MATERIALS PROVIDED & STORAGE CONDITIONS ...................................................................................................3 OTHER SUPPLIES REQUIRED .............................................................................................................................................3 PRECAUTIONS .........................................................................................................................................................................4 -
Supporting Online Material
1 2 3 4 5 6 7 Supplementary Information for 8 9 Fractalkine-induced microglial vasoregulation occurs within the retina and is altered early in diabetic 10 retinopathy 11 12 *Samuel A. Mills, *Andrew I. Jobling, *Michael A. Dixon, Bang V. Bui, Kirstan A. Vessey, Joanna A. Phipps, 13 Ursula Greferath, Gene Venables, Vickie H.Y. Wong, Connie H.Y. Wong, Zheng He, Flora Hui, James C. 14 Young, Josh Tonc, Elena Ivanova, Botir T. Sagdullaev, Erica L. Fletcher 15 * Joint first authors 16 17 Corresponding author: 18 Prof. Erica L. Fletcher. Department of Anatomy & Neuroscience. The University of Melbourne, Grattan St, 19 Parkville 3010, Victoria, Australia. 20 Email: [email protected] ; Tel: +61-3-8344-3218; Fax: +61-3-9347-5219 21 22 This PDF file includes: 23 24 Supplementary text 25 Figures S1 to S10 26 Tables S1 to S7 27 Legends for Movies S1 to S2 28 SI References 29 30 Other supplementary materials for this manuscript include the following: 31 32 Movies S1 to S2 33 34 35 36 1 1 Supplementary Information Text 2 Materials and Methods 3 Microglial process movement on retinal vessels 4 Dark agouti rats were anaesthetized, injected intraperitoneally with rhodamine B (Sigma-Aldrich) to label blood 5 vessels and retinal explants established as described in the main text. Retinal microglia were labelled with Iba-1 6 and imaging performed on an inverted confocal microscope (Leica SP5). Baseline images were taken for 10 7 minutes, followed by the addition of PBS (10 minutes) and then either fractalkine or fractalkine + candesartan 8 (10 minutes) using concentrations outlined in the main text. -
Negatively Regulated by ADAM15 TRIF-Mediated TLR3 and TLR4
TRIF-Mediated TLR3 and TLR4 Signaling Is Negatively Regulated by ADAM15 Suaad Ahmed, Ashwini Maratha, Aisha Qasim Butt, Enda Shevlin and Sinead M. Miggin This information is current as of September 27, 2021. J Immunol 2013; 190:2217-2228; Prepublished online 30 January 2013; doi: 10.4049/jimmunol.1201630 http://www.jimmunol.org/content/190/5/2217 Downloaded from Supplementary http://www.jimmunol.org/content/suppl/2013/01/30/jimmunol.120163 Material 0.DC1 References This article cites 57 articles, 20 of which you can access for free at: http://www.jimmunol.org/ http://www.jimmunol.org/content/190/5/2217.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 27, 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 © 2013 by The American Association of Immunologists, Inc. All rights reserved. Print ISSN: 0022-1767 Online ISSN: 1550-6606. The Journal of Immunology TRIF-Mediated TLR3 and TLR4 Signaling Is Negatively Regulated by ADAM15 Suaad Ahmed, Ashwini Maratha, Aisha Qasim Butt, Enda Shevlin, and Sinead M. -
Gene Pval Qval Log2 Fold Change AAMP 0.895690332 0.952598834
BMJ Publishing Group Limited (BMJ) disclaims all liability and responsibility arising from any reliance Supplemental material placed on this supplemental material which has been supplied by the author(s) Gut Gene pval qval Log2 Fold Change AAMP 0.895690332 0.952598834 -0.21 ABI3BP 0.002302151 0.020612283 0.465 ACHE 0.103542461 0.296385483 -0.16 ACTG2 2.99E-07 7.68E-05 3.195 ACVR1 0.071431098 0.224504378 0.19 ACVR1C 0.978209579 0.995008423 0.14 ACVRL1 0.006747504 0.042938663 0.235 ADAM15 0.158715519 0.380719469 0.285 ADAM17 0.978208929 0.995008423 -0.05 ADAM28 0.038932876 0.152174187 -0.62 ADAM8 0.622964796 0.790251882 0.085 ADAM9 0.122003358 0.329623107 0.25 ADAMTS1 0.180766659 0.414256926 0.23 ADAMTS12 0.009902195 0.05703885 0.425 ADAMTS8 4.60E-05 0.001169089 1.61 ADAP1 0.269811968 0.519388039 0.075 ADD1 0.233702809 0.487695826 0.11 ADM2 0.012213453 0.066227879 -0.36 ADRA2B 0.822777921 0.915518785 0.16 AEBP1 0.010738542 0.06035531 0.465 AGGF1 0.117946691 0.320915024 -0.095 AGR2 0.529860903 0.736120272 0.08 AGRN 0.85693743 0.928047568 -0.16 AGT 0.006849995 0.043233572 1.02 AHNAK 0.006519543 0.042542779 0.605 AKAP12 0.001747074 0.016405449 0.51 AKAP2 0.409929603 0.665919397 0.05 AKT1 0.95208288 0.985354963 -0.085 AKT2 0.367391504 0.620376005 0.055 AKT3 0.253556844 0.501934205 0.07 ALB 0.064833867 0.21195036 -0.315 ALDOA 0.83128831 0.918352939 0.08 ALOX5 0.029954404 0.125352668 -0.3 AMH 0.784746815 0.895196237 -0.03 ANG 0.050500474 0.181732067 0.255 ANGPT1 0.281853305 0.538528647 0.285 ANGPT2 0.43147281 0.675272487 -0.15 ANGPTL2 0.001368876 0.013688762 0.71 ANGPTL4 0.686032669 0.831882134 -0.175 ANPEP 0.019103243 0.089148466 -0.57 ANXA2P2 0.412553021 0.665966092 0.11 AP1M2 0.87843088 0.944681253 -0.045 APC 0.267444505 0.516134751 0.09 APOD 1.04E-05 0.000587404 0.985 APOE 0.023722987 0.104981036 -0.395 APOH 0.336334555 0.602273505 -0.065 Sundar R, et al. -
R&D Assay for Alzheimer's Disease
R&DR&D assayassay forfor Alzheimer’sAlzheimer’s diseasedisease Target screening⳼ Ⲽ㬔 antibody array, ᢜ⭉㬔 ⸽ἐⴐ Amyloid β-peptide Alzheimer’s disease⯸ ኸᷠ᧔ ᆹ⸽ inhibitor, antibody, ELISA kit Surwhrph#Surilohu#Dqwlerg|#Duud| 6OUSFBUFE 1."5SFBUFE )41 $3&# &3, &3, )41 $3&# &3, &3, 壤伡庰䋸TBNQMF ɅH 侴䋸嵄䍴䋸BOBMZUFT䋸䬱娴哜塵 1$ 1$ 1$ 1$ 5IFNPTUSFGFSFODFEBSSBZT 1$ 1$ QQ α 34, .4, 503 Q α 34, .4, 503 %SVHTDSFFOJOH0òUBSHFUFòFDUT0ATHWAY涭廐 6OUSFBUFE 堄币䋸4BNQMF侴䋸8FTUFSOPS&-*4"䍘䧽 1."5SFBUFE P 8FTUFSOCMPU廽喜儤应侴䋸0, Z 4VCTUSBUF -JHIU )31DPOKVHBUFE1BO "OUJQIPTQIPUZSPTJOF .FBO1JYFM%FOTJUZ Y $BQUVSF"OUJCPEZ 5BSHFU"OBMZUF "SSBZ.FNCSBOF $3&# &3, &3, )41 .4, Q α 34, 503 Human XL Cytokine Array kit (ARY022, 102 analytes) Adiponectin,Aggrecan,Angiogenin,Angiopoietin-1,Angiopoietin-2,BAFF,BDNF,Complement,Component C5/C5a,CD14,CD30,CD40L, Chitinase 3-like 1,Complement Factor D,C-Reactive Protein,Cripto-1,Cystatin C,Dkk-1,DPPIV,EGF,EMMPRIN,ENA-78,Endoglin, Fas L,FGF basic,FGF- 7,FGF-19,Flt-3 L,G-CSF,GDF-15,GM-CSF,GRO-α,Grow th Hormone,HGF,ICAM-1,IFN-γ,IGFBP-2,IGFBP-3, IL-1α,IL-1β, IL-1ra,IL-2,IL-3,IL-4,IL- 5,IL-6,IL-8, IL-10,IL-11,IL-12, IL-13,IL-15,IL-16,IL-17A,IL-18 BPa,IL-19,IL-22, IL-23,IL-24,IL-27, IL-31,IL-32α/β/γ,IL-33,IL-34,IP-10,I-TAC,Kallikrein 3,Leptin,LIF,Lipocalin-2,MCP-1,MCP-3,M-CSF,MIF,MIG,MIP-1α/MIP-1β,MIP-3α,MIP-3β,MMP-9, Myeloperoxidase,Osteopontin, p70, PDGF-AA, PDGF-AB/BB,Pentraxin-3, PF4, RAGE, RANTES,RBP4,Relaxin-2, Resistin,SDF-1α,Serpin E1, SHBG, ST2, TARC,TFF3,TfR,TGF- ,Thrombospondin-1,TNF-α, uPAR, VEGF, Vitamin D BP Human Protease (34 analytes) / -
Conservation and Divergence of ADAM Family Proteins in the Xenopus Genome
Wei et al. BMC Evolutionary Biology 2010, 10:211 http://www.biomedcentral.com/1471-2148/10/211 RESEARCH ARTICLE Open Access ConservationResearch article and divergence of ADAM family proteins in the Xenopus genome Shuo Wei*1, Charles A Whittaker2, Guofeng Xu1, Lance C Bridges1,3, Anoop Shah1, Judith M White1 and Douglas W DeSimone1 Abstract Background: Members of the disintegrin metalloproteinase (ADAM) family play important roles in cellular and developmental processes through their functions as proteases and/or binding partners for other proteins. The amphibian Xenopus has long been used as a model for early vertebrate development, but genome-wide analyses for large gene families were not possible until the recent completion of the X. tropicalis genome sequence and the availability of large scale expression sequence tag (EST) databases. In this study we carried out a systematic analysis of the X. tropicalis genome and uncovered several interesting features of ADAM genes in this species. Results: Based on the X. tropicalis genome sequence and EST databases, we identified Xenopus orthologues of mammalian ADAMs and obtained full-length cDNA clones for these genes. The deduced protein sequences, synteny and exon-intron boundaries are conserved between most human and X. tropicalis orthologues. The alternative splicing patterns of certain Xenopus ADAM genes, such as adams 22 and 28, are similar to those of their mammalian orthologues. However, we were unable to identify an orthologue for ADAM7 or 8. The Xenopus orthologue of ADAM15, an active metalloproteinase in mammals, does not contain the conserved zinc-binding motif and is hence considered proteolytically inactive. We also found evidence for gain of ADAM genes in Xenopus as compared to other species. -
Selective Inhibition of ADAM12 Catalytic Activity Through
Selective inhibition of ADAM12 catalytic activity through engineering of tissue inhibitor of metalloproteinases (TIMP)-2 Marie Kveiborg, Jonas Jacobsen, Meng-Huee Lee, Hideaki Nagase, Ulla M Wewer, Gillian Murphy To cite this version: Marie Kveiborg, Jonas Jacobsen, Meng-Huee Lee, Hideaki Nagase, Ulla M Wewer, et al.. Selective inhibition of ADAM12 catalytic activity through engineering of tissue inhibitor of metalloproteinases (TIMP)-2. Biochemical Journal, Portland Press, 2010, 430 (1), pp.79-86. 10.1042/BJ20100649. hal-00506526 HAL Id: hal-00506526 https://hal.archives-ouvertes.fr/hal-00506526 Submitted on 28 Jul 2010 HAL is a multi-disciplinary open access L’archive ouverte pluridisciplinaire HAL, est archive for the deposit and dissemination of sci- destinée au dépôt et à la diffusion de documents entific research documents, whether they are pub- scientifiques de niveau recherche, publiés ou non, lished or not. The documents may come from émanant des établissements d’enseignement et de teaching and research institutions in France or recherche français ou étrangers, des laboratoires abroad, or from public or private research centers. publics ou privés. Biochemical Journal Immediate Publication. Published on 10 Jun 2010 as manuscript BJ20100649 Selective inhibition of ADAM12 catalytic activity through engineering of tissue inhibitor of metalloproteinases (TIMP)-2 Marie Kveiborg*,§, Jonas Jacobsen*,§, Meng-Huee Lee†, Hideaki Nagase‡, Ulla M. Wewer*,¶, and Gillian Murphy†,¶ *Department of Biomedical Sciences and Biotech Research and Innovation Centre (BRIC), University of Copenhagen, Ole Maaløes Vej 5, 2200 Copenhagen, Denmark †Department of Oncology, Cambridge University, Cancer Research Institute, Li Ka Shing Centre, Cambridge CB2 ORE, UK ‡Kennedy Institute of Rheumatology Division, Faculty of Medicine, Imperial College London, 65 Aspenlea Road, London W6 8LH, UK §,¶These authors contributed equally to the study. -
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. -
ADAM15 Targets MMP9 Activity to Promote Lung Cancer Cell Invasion
ONCOLOGY REPORTS 34: 2451-2460, 2015 ADAM15 targets MMP9 activity to promote lung cancer cell invasion DAN-DAN DONG1, HUI ZHOU2 and GAO LI3 1Department of Pathology, Sichuan Academy of Medical Sciences, Sichuan Provincial People's Hospital, Chengdu, Sichuan 610072; 2Department of Thoracic Medicine, The Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, Changsha, Hunan 410013; 3Department of Thoracic Surgery, Hainan General Hospital, Haikou, Hainan 570311, P.R. China Received June 17, 2015; Accepted July 20, 2015 DOI: 10.3892/or.2015.4203 Abstract. ADAM15 is a membrane-associated proteinase bound cell surface glycoproteins (1). These zinc-dependent belonging to a disintegrin and metalloproteinase (ADAM) proteases contain an amino terminal metalloproteinase and a family. Recent studies suggested that ADAM15 is overex- disintegrin domain, a cysteine-rich and an EGF-like sequence, pressed in several types of cancer and is involved in metastatic a transmembrane and a cytoplasmic domain (2). It has been tumor progression. However, the function of ADAM15 in proven that 13 members of ADAM family are catalytically non-small cell lung cancer (NSCLC) is currently unknown. In active through their metalloproteinase domain. These catalytic the present study, we found that high expression of ADAM15 members play an important role in mediating extracellular was associated with decreased overall survival (OS) and matrix protein degradation and shedding of growth factors, disease-free survival (DFS) in NSCLC patients. Furthermore, cytokines and adhesion molecules. Besides, the disintegrin shRNA-mediated knockdown of ADAM15 attenuated cell domain of ADAMs is also involved in binding to integrins migration and invasion. Mechanistic study demonstrated that to mediate cell-cell and cell-matrix interactions (3). -
* Supplementary Table 3B. Complete List of Lymphocytic-Associated Genes
Supplementary Table 3b. Complete list of lymphocytic-associated genes for the HER2+I subtype based on the SNR score (p-val <= 0.005 and FDR<=0.05). A positive score represents genes up-regulated in HER2+I and a negative score represents genes up-regulated in HER2+NI. The first 9 genes, marked with *, are chemokines near the HER2+ amplicon at chr17q12. The remaining are sorted based by chromosomal location (from chr 1 to chr X) and signal-to-noise ratio (SNR). Gene Name Description SNR Score Feature P value FDR(BH) Q Value * CCL5 chemokine (C-C motif) ligand 5 1.395 0.002 0.036 0.025 * CCR7 chemokine (C-C motif) receptor 7 1.362 0.002 0.036 0.025 * CD79B CD79B antigen (immunoglobulin-associated beta) 1.248 0.002 0.036 0.025 * CCL13 chemokine (C-C motif) ligand 13 1.003 0.002 0.036 0.025 * CCL2 chemokine (C-C motif) ligand 2 0.737 0.004 0.056 0.037 * CCL8 chemokine (C-C motif) ligand 8 0.724 0.002 0.036 0.025 * CCL18 chemokine (C-C motif) ligand 18 (pulmonary and activ 0.703 0.002 0.036 0.025 * CCL23 chemokine (C-C motif) ligand 23 0.701 0.002 0.036 0.025 * CCR6 chemokine (C-C motif) receptor 6 0.715 0.002 0.036 0.025 PTPN7 protein tyrosine phosphatase, non-receptor type 7 1.861 0.002 0.036 0.025 CD3Z CD3Z antigen, zeta polypeptide (TiT3 complex) 1.811 0.002 0.036 0.025 CD48 CD48 antigen (B-cell membrane protein) 1.809 0.002 0.036 0.025 IL10RA interleukin 10 receptor, alpha 1.806 0.002 0.036 0.025 SELL selectin L (lymphocyte adhesion molecule 1) 1.773 0.002 0.036 0.025 LCK lymphocyte-specific protein tyrosine kinase 1.745 0.002 0.036 0.025 -
Development and Validation of a Protein-Based Risk Score for Cardiovascular Outcomes Among Patients with Stable Coronary Heart Disease
Supplementary Online Content Ganz P, Heidecker B, Hveem K, et al. Development and validation of a protein-based risk score for cardiovascular outcomes among patients with stable coronary heart disease. JAMA. doi: 10.1001/jama.2016.5951 eTable 1. List of 1130 Proteins Measured by Somalogic’s Modified Aptamer-Based Proteomic Assay eTable 2. Coefficients for Weibull Recalibration Model Applied to 9-Protein Model eFigure 1. Median Protein Levels in Derivation and Validation Cohort eTable 3. Coefficients for the Recalibration Model Applied to Refit Framingham eFigure 2. Calibration Plots for the Refit Framingham Model eTable 4. List of 200 Proteins Associated With the Risk of MI, Stroke, Heart Failure, and Death eFigure 3. Hazard Ratios of Lasso Selected Proteins for Primary End Point of MI, Stroke, Heart Failure, and Death eFigure 4. 9-Protein Prognostic Model Hazard Ratios Adjusted for Framingham Variables eFigure 5. 9-Protein Risk Scores by Event Type This supplementary material has been provided by the authors to give readers additional information about their work. Downloaded From: https://jamanetwork.com/ on 10/02/2021 Supplemental Material Table of Contents 1 Study Design and Data Processing ......................................................................................................... 3 2 Table of 1130 Proteins Measured .......................................................................................................... 4 3 Variable Selection and Statistical Modeling ........................................................................................