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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. -
Β-Catenin Confers Resistance to PI3K and AKT Inhibitors and Subverts Foxo3a to Promote Metastasis in Colon Cancer
β-catenin Confers Resistance to PI3K and AKT inhibitors and Subverts FOXO3a to Promote Metastasis in Colon Cancer Stephan P. Tenbaum1§, Paloma Ordóñez-Morán2§#, Isabel Puig1§, Irene Chicote1, Oriol Arqués1, Stefania Landolfi3, Yolanda Fernández4, José Raúl Herance5, Juan D. Gispert5, Leire Mendizabal6, Susana Aguilar7, Santiago Ramón y Cajal3, Simó Schwartz Jr4, Ana Vivancos6, Eloy Espín8, Santiago Rojas5, José Baselga9, Josep Tabernero10, Alberto Muñoz2, Héctor G. Palmer1* 1 Vall d’Hebrón Institut d´Oncología (VHIO). Stem Cells and Cancer Laboratory. Barcelona, Spain. 2 Instituto de Investigaciones Biomédicas "Alberto Sols", Consejo Superior de Investigaciones Científicas-Universidad Autónoma de Madrid, Madrid, Spain. 3 Department of Pathology, Hospital Universitari Vall d'Hebrón, Universitat Autònoma de Barcelona, Barcelona, Spain. 4 Group of Drug Delivery and Targeting, CIBBIM-Nanomedicine and Networking Biomedical Research Center on Bioengineering, Biomaterials and Nanomedicine (CIBER-BBN), Hospital Universitari Vall d’Hebrón, Institut de Recerca Vall d’Hebrón, Universitat Autònoma de Barcelona, Barcelona, Spain. 5 Parc de Recerca Biomèdica de Barcelona (PRBB), Centre d´Imatge Molecular (CRC) Corporació Sanitària, Barcelona, Spain. 6 Vall d’Hebrón Institut d´Oncología (VHIO). Genomics Cancer Group. Barcelona, Spain. 7 Centre for Respiratory Research, Rayne Institute, University College London, London, United Kingdom, Hematopoietic Stem Cell Laboratory, London Research Institute, Cancer Research UK, London, United Kingdom. 8 General Surgery Service, Hospital Universitari Vall d'Hebrón, Barcelona, Spain. 9 Massachusetts General Hospital Cancer Center, Harvard Medical School, Charlestown, USA; Howard Hughes Medical Institute, Chevy Chase, USA. 10 Medical Oncology Department, Hospital Universitari Vall d'Hebrón, Barcelona, Spain. # Swiss Institute for Experimental Cancer Research, École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland. -
Iron Depletion Reduces Abce1 Transcripts While Inducing The
Preprints (www.preprints.org) | NOT PEER-REVIEWED | Posted: 22 October 2019 doi:10.20944/preprints201910.0252.v1 1 Research Article 2 Iron depletion Reduces Abce1 Transcripts While 3 Inducing the Mitophagy Factors Pink1 and Parkin 4 Jana Key 1,2, Nesli Ece Sen 1, Aleksandar Arsovic 1, Stella Krämer 1, Robert Hülse 1, Suzana 5 Gispert-Sanchez 1 and Georg Auburger 1,* 6 1 Experimental Neurology, Goethe University Medical School, 60590 Frankfurt am Main; 7 2 Faculty of Biosciences, Goethe-University Frankfurt am Main, Germany 8 * Correspondence: [email protected] 9 10 Abstract: Lifespan extension was recently achieved in Caenorhabditis elegans nematodes by 11 mitochondrial stress and mitophagy, triggered via iron depletion. Conversely in man, deficient 12 mitophagy due to Pink1/Parkin mutations triggers iron accumulation in patient brain and limits 13 survival. We now aimed to identify murine fibroblast factors, which adapt their mRNA expression 14 to acute iron manipulation, relate to mitochondrial dysfunction and may influence survival. After 15 iron depletion, expression of the plasma membrane receptor Tfrc with its activator Ireb2, the 16 mitochondrial membrane transporter Abcb10, the heme-release factor Pgrmc1, the heme- 17 degradation enzyme Hmox1, the heme-binding cholesterol metabolizer Cyp46a1, as well as the 18 mitophagy regulators Pink1 and Parkin showed a negative correlation to iron levels. After iron 19 overload, these factors did not change expression. Conversely, a positive correlation of mRNA levels 20 with both conditions of iron availability was observed for the endosomal factors Slc11a2 and Steap2, 21 as well as for the iron-sulfur-cluster (ISC)-containing factors Ppat, Bdh2 and Nthl1. -
Human Periprostatic Adipose Tissue: Secretome from Patients With
CANCER GENOMICS & PROTEOMICS 16 : 29-58 (2019) doi:10.21873/cgp.20110 Human Periprostatic Adipose Tissue: Secretome from Patients With Prostate Cancer or Benign Prostate Hyperplasia PAULA ALEJANDRA SACCA 1, OSVALDO NÉSTOR MAZZA 2, CARLOS SCORTICATI 2, GONZALO VITAGLIANO 3, GABRIEL CASAS 4 and JUAN CARLOS CALVO 1,5 1Institute of Biology and Experimental Medicine (IBYME), CONICET, Buenos Aires, Argentina; 2Department of Urology, School of Medicine, University of Buenos Aires, Clínical Hospital “José de San Martín”, Buenos Aires, Argentina; 3Department of Urology, Deutsches Hospital, Buenos Aires, Argentina; 4Department of Pathology, Deutsches Hospital, Buenos Aires, Argentina; 5Department of Biological Chemistry, School of Exact and Natural Sciences, University of Buenos Aires, Buenos Aires, Argentina Abstract. Background/Aim: Periprostatic adipose tissue Prostate cancer (PCa) is the second most common cancer in (PPAT) directs tumour behaviour. Microenvironment secretome men worldwide. While most men have indolent disease, provides information related to its biology. This study was which can be treated properly, the problem consists in performed to identify secreted proteins by PPAT, from both reliably distinguishing between indolent and aggressive prostate cancer and benign prostate hyperplasia (BPH) disease. Evidence shows that the microenvironment affects patients. Patients and Methods: Liquid chromatography-mass tumour behavior. spectrometry-based proteomic analysis was performed in Adipose tissue microenvironment is now known to direct PPAT-conditioned media (CM) from patients with prostate tumour growth, invasion and metastases (1, 2). Adipose cancer (CMs-T) (stage T3: CM-T3, stage T2: CM-T2) or tissue is adjacent to the prostate gland and the site of benign disease (CM-BPH). Results: The highest number and invasion of PCa. -
A Computational Approach for Defining a Signature of Β-Cell Golgi Stress in Diabetes Mellitus
Page 1 of 781 Diabetes A Computational Approach for Defining a Signature of β-Cell Golgi Stress in Diabetes Mellitus Robert N. Bone1,6,7, Olufunmilola Oyebamiji2, Sayali Talware2, Sharmila Selvaraj2, Preethi Krishnan3,6, Farooq Syed1,6,7, Huanmei Wu2, Carmella Evans-Molina 1,3,4,5,6,7,8* Departments of 1Pediatrics, 3Medicine, 4Anatomy, Cell Biology & Physiology, 5Biochemistry & Molecular Biology, the 6Center for Diabetes & Metabolic Diseases, and the 7Herman B. Wells Center for Pediatric Research, Indiana University School of Medicine, Indianapolis, IN 46202; 2Department of BioHealth Informatics, Indiana University-Purdue University Indianapolis, Indianapolis, IN, 46202; 8Roudebush VA Medical Center, Indianapolis, IN 46202. *Corresponding Author(s): Carmella Evans-Molina, MD, PhD ([email protected]) Indiana University School of Medicine, 635 Barnhill Drive, MS 2031A, Indianapolis, IN 46202, Telephone: (317) 274-4145, Fax (317) 274-4107 Running Title: Golgi Stress Response in Diabetes Word Count: 4358 Number of Figures: 6 Keywords: Golgi apparatus stress, Islets, β cell, Type 1 diabetes, Type 2 diabetes 1 Diabetes Publish Ahead of Print, published online August 20, 2020 Diabetes Page 2 of 781 ABSTRACT The Golgi apparatus (GA) is an important site of insulin processing and granule maturation, but whether GA organelle dysfunction and GA stress are present in the diabetic β-cell has not been tested. We utilized an informatics-based approach to develop a transcriptional signature of β-cell GA stress using existing RNA sequencing and microarray datasets generated using human islets from donors with diabetes and islets where type 1(T1D) and type 2 diabetes (T2D) had been modeled ex vivo. To narrow our results to GA-specific genes, we applied a filter set of 1,030 genes accepted as GA associated. -
Protein Identities in Evs Isolated from U87-MG GBM Cells As Determined by NG LC-MS/MS
Protein identities in EVs isolated from U87-MG GBM cells as determined by NG LC-MS/MS. No. Accession Description Σ Coverage Σ# Proteins Σ# Unique Peptides Σ# Peptides Σ# PSMs # AAs MW [kDa] calc. pI 1 A8MS94 Putative golgin subfamily A member 2-like protein 5 OS=Homo sapiens PE=5 SV=2 - [GG2L5_HUMAN] 100 1 1 7 88 110 12,03704523 5,681152344 2 P60660 Myosin light polypeptide 6 OS=Homo sapiens GN=MYL6 PE=1 SV=2 - [MYL6_HUMAN] 100 3 5 17 173 151 16,91913397 4,652832031 3 Q6ZYL4 General transcription factor IIH subunit 5 OS=Homo sapiens GN=GTF2H5 PE=1 SV=1 - [TF2H5_HUMAN] 98,59 1 1 4 13 71 8,048185945 4,652832031 4 P60709 Actin, cytoplasmic 1 OS=Homo sapiens GN=ACTB PE=1 SV=1 - [ACTB_HUMAN] 97,6 5 5 35 917 375 41,70973209 5,478027344 5 P13489 Ribonuclease inhibitor OS=Homo sapiens GN=RNH1 PE=1 SV=2 - [RINI_HUMAN] 96,75 1 12 37 173 461 49,94108966 4,817871094 6 P09382 Galectin-1 OS=Homo sapiens GN=LGALS1 PE=1 SV=2 - [LEG1_HUMAN] 96,3 1 7 14 283 135 14,70620005 5,503417969 7 P60174 Triosephosphate isomerase OS=Homo sapiens GN=TPI1 PE=1 SV=3 - [TPIS_HUMAN] 95,1 3 16 25 375 286 30,77169764 5,922363281 8 P04406 Glyceraldehyde-3-phosphate dehydrogenase OS=Homo sapiens GN=GAPDH PE=1 SV=3 - [G3P_HUMAN] 94,63 2 13 31 509 335 36,03039959 8,455566406 9 Q15185 Prostaglandin E synthase 3 OS=Homo sapiens GN=PTGES3 PE=1 SV=1 - [TEBP_HUMAN] 93,13 1 5 12 74 160 18,68541938 4,538574219 10 P09417 Dihydropteridine reductase OS=Homo sapiens GN=QDPR PE=1 SV=2 - [DHPR_HUMAN] 93,03 1 1 17 69 244 25,77302971 7,371582031 11 P01911 HLA class II histocompatibility antigen, -
To Study Mutant P53 Gain of Function, Various Tumor-Derived P53 Mutants
Differential effects of mutant TAp63γ on transactivation of p53 and/or p63 responsive genes and their effects on global gene expression. A thesis submitted in partial fulfillment of the requirements for the degree of Master of Science By Shama K Khokhar M.Sc., Bilaspur University, 2004 B.Sc., Bhopal University, 2002 2007 1 COPYRIGHT SHAMA K KHOKHAR 2007 2 WRIGHT STATE UNIVERSITY SCHOOL OF GRADUATE STUDIES Date of Defense: 12-03-07 I HEREBY RECOMMEND THAT THE THESIS PREPARED UNDER MY SUPERVISION BY SHAMA KHAN KHOKHAR ENTITLED Differential effects of mutant TAp63γ on transactivation of p53 and/or p63 responsive genes and their effects on global gene expression BE ACCEPTED IN PARTIAL FULFILLMENT OF THE REQUIREMENTS FOR THE DEGREE OF Master of Science Madhavi P. Kadakia, Ph.D. Thesis Director Daniel Organisciak , Ph.D. Department Chair Committee on Final Examination Madhavi P. Kadakia, Ph.D. Steven J. Berberich, Ph.D. Michael Leffak, Ph.D. Joseph F. Thomas, Jr., Ph.D. Dean, School of Graduate Studies 3 Abstract Khokhar, Shama K. M.S., Department of Biochemistry and Molecular Biology, Wright State University, 2007 Differential effect of TAp63γ mutants on transactivation of p53 and/or p63 responsive genes and their effects on global gene expression. p63, a member of the p53 gene family, known to play a role in development, has more recently also been implicated in cancer progression. Mice lacking p63 exhibit severe developmental defects such as limb truncations, abnormal skin, and absence of hair follicles, teeth, and mammary glands. Germline missense mutations of p63 have been shown to be responsible for several human developmental syndromes including SHFM, EEC and ADULT syndromes and are associated with anomalies in the development of organs of epithelial origin. -
Heterotrimeric Go Protein Links Wnt-Frizzled Signaling with Ankyrins to Regulate the Neuronal Microtubule Cytoskeleton Anne-Marie Lüchtenborg1,2, Gonzalo P
© 2014. Published by The Company of Biologists Ltd | Development (2014) 141, 3399-3409 doi:10.1242/dev.106773 RESEARCH ARTICLE Heterotrimeric Go protein links Wnt-Frizzled signaling with ankyrins to regulate the neuronal microtubule cytoskeleton Anne-Marie Lüchtenborg1,2, Gonzalo P. Solis1, Diane Egger-Adam2, Alexey Koval1, Chen Lin1,2, Maxime G. Blanchard1, Stephan Kellenberger1 and Vladimir L. Katanaev1,2,* ABSTRACT The evolutionarily conserved Wg pathway is important for Drosophila neuromuscular junctions (NMJs) represent a powerful numerous developmental programs and cellular processes (Logan model system with which to study glutamatergic synapse formation and Nusse, 2004). In the nervous system of Drosophila,Wg and remodeling. Several proteins have been implicated in these signaling is involved in the formation of neuromuscular junctions processes, including components of canonical Wingless (Drosophila (NMJs) (Packard et al., 2002; Miech et al., 2008). Being a Wnt1) signaling and the giant isoforms of the membrane-cytoskeleton glutamatergic synapse, the Drosophila NMJ provides a useful linker Ankyrin 2, but possible interconnections and cooperation experimental model with which to study mammalian central between these proteins were unknown. Here, we demonstrate that nervous system synapses, their formation and remodeling (Collins the heterotrimeric G protein Go functions as a transducer of Wingless- and DiAntonio, 2007). The Drosophila NMJ is a beads-on-a-string- Frizzled 2 signaling in the synapse. We identify Ankyrin 2 as a target like structure that is formed at the axon terminus and is composed of – – of Go signaling required for NMJ formation. Moreover, the Go-ankyrin distinct circular structures the synaptic boutons which contain interaction is conserved in the mammalian neurite outgrowth pathway. -
Circular RNA Hsa Circ 0005114‑Mir‑142‑3P/Mir‑590‑5P‑ Adenomatous
ONCOLOGY LETTERS 21: 58, 2021 Circular RNA hsa_circ_0005114‑miR‑142‑3p/miR‑590‑5p‑ adenomatous polyposis coli protein axis as a potential target for treatment of glioma BO WEI1*, LE WANG2* and JINGWEI ZHAO1 1Department of Neurosurgery, China‑Japan Union Hospital of Jilin University, Changchun, Jilin 130033; 2Department of Ophthalmology, The First Hospital of Jilin University, Jilin University, Changchun, Jilin 130021, P.R. China Received September 12, 2019; Accepted October 22, 2020 DOI: 10.3892/ol.2020.12320 Abstract. Glioma is the most common type of brain tumor APC expression with a good overall survival rate. UALCAN and is associated with a high mortality rate. Despite recent analysis using TCGA data of glioblastoma multiforme and the advances in treatment options, the overall prognosis in patients GSE25632 and GSE103229 microarray datasets showed that with glioma remains poor. Studies have suggested that circular hsa‑miR‑142‑3p/hsa‑miR‑590‑5p was upregulated and APC (circ)RNAs serve important roles in the development and was downregulated. Thus, hsa‑miR‑142‑3p/hsa‑miR‑590‑5p‑ progression of glioma and may have potential as therapeutic APC‑related circ/ceRNA axes may be important in glioma, targets. However, the expression profiles of circRNAs and their and hsa_circ_0005114 interacted with both of these miRNAs. functions in glioma have rarely been studied. The present study Functional analysis showed that hsa_circ_0005114 was aimed to screen differentially expressed circRNAs (DECs) involved in insulin secretion, while APC was associated with between glioma and normal brain tissues using sequencing the Wnt signaling pathway. In conclusion, hsa_circ_0005114‑ data collected from the Gene Expression Omnibus database miR‑142‑3p/miR‑590‑5p‑APC ceRNA axes may be potential (GSE86202 and GSE92322 datasets) and explain their mecha‑ targets for the treatment of glioma. -
ADAM10 Site-Dependent Biology: Keeping Control of a Pervasive Protease
International Journal of Molecular Sciences Review ADAM10 Site-Dependent Biology: Keeping Control of a Pervasive Protease Francesca Tosetti 1,* , Massimo Alessio 2, Alessandro Poggi 1,† and Maria Raffaella Zocchi 3,† 1 Molecular Oncology and Angiogenesis Unit, IRCCS Ospedale Policlinico S. Martino Largo R. Benzi 10, 16132 Genoa, Italy; [email protected] 2 Proteome Biochemistry, IRCCS San Raffaele Scientific Institute, 20132 Milan, Italy; [email protected] 3 Division of Immunology, Transplants and Infectious Diseases, IRCCS San Raffaele Scientific Institute, 20132 Milan, Italy; [email protected] * Correspondence: [email protected] † These authors contributed equally to this work as last author. Abstract: Enzymes, once considered static molecular machines acting in defined spatial patterns and sites of action, move to different intra- and extracellular locations, changing their function. This topological regulation revealed a close cross-talk between proteases and signaling events involving post-translational modifications, membrane tyrosine kinase receptors and G-protein coupled recep- tors, motor proteins shuttling cargos in intracellular vesicles, and small-molecule messengers. Here, we highlight recent advances in our knowledge of regulation and function of A Disintegrin And Metalloproteinase (ADAM) endopeptidases at specific subcellular sites, or in multimolecular com- plexes, with a special focus on ADAM10, and tumor necrosis factor-α convertase (TACE/ADAM17), since these two enzymes belong to the same family, share selected substrates and bioactivity. We will discuss some examples of ADAM10 activity modulated by changing partners and subcellular compartmentalization, with the underlying hypothesis that restraining protease activity by spatial Citation: Tosetti, F.; Alessio, M.; segregation is a complex and powerful regulatory tool. -
Patient-Based Cross-Platform Comparison of Oligonucleotide Microarray Expression Profiles
Laboratory Investigation (2005) 85, 1024–1039 & 2005 USCAP, Inc All rights reserved 0023-6837/05 $30.00 www.laboratoryinvestigation.org Patient-based cross-platform comparison of oligonucleotide microarray expression profiles Joerg Schlingemann1,*, Negusse Habtemichael2,*, Carina Ittrich3, Grischa Toedt1, Heidi Kramer1, Markus Hambek4, Rainald Knecht4, Peter Lichter1, Roland Stauber2 and Meinhard Hahn1 1Division of Molecular Genetics, Deutsches Krebsforschungszentrum, Heidelberg, Germany; 2Chemotherapeutisches Forschungsinstitut Georg-Speyer-Haus, Frankfurt am Main, Germany; 3Central Unit Biostatistics, Deutsches Krebsforschungszentrum, Heidelberg, Germany and 4Department of Otorhinolaryngology, Universita¨tsklinik, Johann-Wolfgang-Goethe-Universita¨t Frankfurt, Frankfurt, Germany The comparison of gene expression measurements obtained with different technical approaches is of substantial interest in order to clarify whether interplatform differences may conceal biologically significant information. To address this concern, we analyzed gene expression in a set of head and neck squamous cell carcinoma patients, using both spotted oligonucleotide microarrays made from a large collection of 70-mer probes and commercial arrays produced by in situ synthesis of sets of multiple 25-mer oligonucleotides per gene. Expression measurements were compared for 4425 genes represented on both platforms, which revealed strong correlations between the corresponding data sets. Of note, a global tendency towards smaller absolute ratios was observed when -
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,