CCM2 Deficient Endothelial Cells Undergo a Mechano-Dependent Reprogramming Into Senescence Associated Secretory Phenotype Used to Recruit Endothelial and Immune Cells
Total Page:16
File Type:pdf, Size:1020Kb
Load more
Recommended publications
-
Supplemental Information to Mammadova-Bach Et Al., “Laminin Α1 Orchestrates VEGFA Functions in the Ecosystem of Colorectal Carcinogenesis”
Supplemental information to Mammadova-Bach et al., “Laminin α1 orchestrates VEGFA functions in the ecosystem of colorectal carcinogenesis” Supplemental material and methods Cloning of the villin-LMα1 vector The plasmid pBS-villin-promoter containing the 3.5 Kb of the murine villin promoter, the first non coding exon, 5.5 kb of the first intron and 15 nucleotides of the second villin exon, was generated by S. Robine (Institut Curie, Paris, France). The EcoRI site in the multi cloning site was destroyed by fill in ligation with T4 polymerase according to the manufacturer`s instructions (New England Biolabs, Ozyme, Saint Quentin en Yvelines, France). Site directed mutagenesis (GeneEditor in vitro Site-Directed Mutagenesis system, Promega, Charbonnières-les-Bains, France) was then used to introduce a BsiWI site before the start codon of the villin coding sequence using the 5’ phosphorylated primer: 5’CCTTCTCCTCTAGGCTCGCGTACGATGACGTCGGACTTGCGG3’. A double strand annealed oligonucleotide, 5’GGCCGGACGCGTGAATTCGTCGACGC3’ and 5’GGCCGCGTCGACGAATTCACGC GTCC3’ containing restriction site for MluI, EcoRI and SalI were inserted in the NotI site (present in the multi cloning site), generating the plasmid pBS-villin-promoter-MES. The SV40 polyA region of the pEGFP plasmid (Clontech, Ozyme, Saint Quentin Yvelines, France) was amplified by PCR using primers 5’GGCGCCTCTAGATCATAATCAGCCATA3’ and 5’GGCGCCCTTAAGATACATTGATGAGTT3’ before subcloning into the pGEMTeasy vector (Promega, Charbonnières-les-Bains, France). After EcoRI digestion, the SV40 polyA fragment was purified with the NucleoSpin Extract II kit (Machery-Nagel, Hoerdt, France) and then subcloned into the EcoRI site of the plasmid pBS-villin-promoter-MES. Site directed mutagenesis was used to introduce a BsiWI site (5’ phosphorylated AGCGCAGGGAGCGGCGGCCGTACGATGCGCGGCAGCGGCACG3’) before the initiation codon and a MluI site (5’ phosphorylated 1 CCCGGGCCTGAGCCCTAAACGCGTGCCAGCCTCTGCCCTTGG3’) after the stop codon in the full length cDNA coding for the mouse LMα1 in the pCIS vector (kindly provided by P. -
2335 Roles of Molecules Involved in Epithelial/Mesenchymal Transition
[Frontiers in Bioscience 13, 2335-2355, January 1, 2008] Roles of molecules involved in epithelial/mesenchymal transition during angiogenesis Giulio Ghersi Dipartimento di Biologia Cellulare e dello Sviluppo, Universita di Palermo, Italy TABLE OF CONTENTS 1. Abstract 2. Introduction 3. Extracellular matrix 3.1. ECM and integrins 3.2. Basal lamina components 4. Cadherins. 4.1. Cadherins in angiogenesis 5. Integrins. 5.1. Integrins in angiogenesis 6. Focal adhesion molecules 7. Proteolytic enzymes 7.1. Proteolytic enzymes inhibitors 7.2. Proteolytic enzymes in angiogenesis 8. Perspective 9. Acknowledgements 10. References 1.ABSTRACT 2. INTRODUCTION Formation of vessels requires “epithelial- Growth of new blood vessels (angiogenesis) mesenchymal” transition of endothelial cells, with several plays a key role in several physiological processes, such modifications at the level of endothelial cell plasma as vascular remodeling during embryogenesis and membranes. These processes are associated with wound healing tissue repair in the adult; as well as redistribution of cell-cell and cell-substrate adhesion pathological processes, including rheumatoid arthritis, molecules, cross talk between external ECM and internal diabetic retinopathy, psoriasis, hemangiomas, and cytoskeleton through focal adhesion molecules and the cancer (1). Vessel formation entails the “epithelial- expression of several proteolytic enzymes, including matrix mesenchymal” transition of endothelial cells (ECs) “in metalloproteases and serine proteases. These enzymes with vivo”; a similar phenotypic exchange can be induced “in their degradative action on ECM components, generate vitro” by growing ECs to low cell density, or in “wound molecules acting as activators and/or inhibitors of healing” experiments or perturbing cell adhesion and angiogenesis. The purpose of this review is to provide an associated molecule functions. -
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. -
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. -
Comparative Transcriptome Analysis of Embryo Invasion in the Mink Uterus
Placenta 75 (2019) 16–22 Contents lists available at ScienceDirect Placenta journal homepage: www.elsevier.com/locate/placenta Comparative transcriptome analysis of embryo invasion in the mink uterus T ∗ Xinyan Caoa,b, , Chao Xua,b, Yufei Zhanga,b, Haijun Weia,b, Yong Liuc, Junguo Caoa,b, Weigang Zhaoa,b, Kun Baoa,b, Qiong Wua,b a Institute of Special Animal and Plant Sciences, Chinese Academy of Agricultural Sciences, Changchun, China b State Key Laboratory for Molecular Biology of Special Economic Animal and Plant Science, Chinese Academy of Agricultural Sciences, Changchun, China c Key Laboratory of Embryo Development and Reproductive Regulation of Anhui Province, College of Biological and Food Engineering, Fuyang Teachers College, Fuyang, China ABSTRACT Introduction: In mink, as many as 65% of embryos die during gestation. The causes and the mechanisms of embryonic mortality remain unclear. The purpose of our study was to examine global gene expression changes during embryo invasion in mink, and thereby to identify potential signaling pathways involved in implantation failure and early pregnancy loss. Methods: Illumina's next-generation sequencing technology (RNA-Seq) was used to analyze the differentially expressed genes (DEGs) in implantation (IMs) and inter- implantation sites (inter-IMs) of uterine tissue. Results: We identified a total of 606 DEGs, including 420 up- and 186 down-regulated genes in IMs compared to inter-IMs. Gene annotation analysis indicated multiple biological pathways to be significantly enriched for DEGs, including immune response, ECM complex, cytokine activity, chemokine activity andprotein binding. The KEGG pathway including cytokine-cytokine receptor interaction, Jak-STAT, TNF and the chemokine signaling pathway were the most enriched. -
Supplemental Table 1. Complete Gene Lists and GO Terms from Figure 3C
Supplemental Table 1. Complete gene lists and GO terms from Figure 3C. Path 1 Genes: RP11-34P13.15, RP4-758J18.10, VWA1, CHD5, AZIN2, FOXO6, RP11-403I13.8, ARHGAP30, RGS4, LRRN2, RASSF5, SERTAD4, GJC2, RHOU, REEP1, FOXI3, SH3RF3, COL4A4, ZDHHC23, FGFR3, PPP2R2C, CTD-2031P19.4, RNF182, GRM4, PRR15, DGKI, CHMP4C, CALB1, SPAG1, KLF4, ENG, RET, GDF10, ADAMTS14, SPOCK2, MBL1P, ADAM8, LRP4-AS1, CARNS1, DGAT2, CRYAB, AP000783.1, OPCML, PLEKHG6, GDF3, EMP1, RASSF9, FAM101A, STON2, GREM1, ACTC1, CORO2B, FURIN, WFIKKN1, BAIAP3, TMC5, HS3ST4, ZFHX3, NLRP1, RASD1, CACNG4, EMILIN2, L3MBTL4, KLHL14, HMSD, RP11-849I19.1, SALL3, GADD45B, KANK3, CTC- 526N19.1, ZNF888, MMP9, BMP7, PIK3IP1, MCHR1, SYTL5, CAMK2N1, PINK1, ID3, PTPRU, MANEAL, MCOLN3, LRRC8C, NTNG1, KCNC4, RP11, 430C7.5, C1orf95, ID2-AS1, ID2, GDF7, KCNG3, RGPD8, PSD4, CCDC74B, BMPR2, KAT2B, LINC00693, ZNF654, FILIP1L, SH3TC1, CPEB2, NPFFR2, TRPC3, RP11-752L20.3, FAM198B, TLL1, CDH9, PDZD2, CHSY3, GALNT10, FOXQ1, ATXN1, ID4, COL11A2, CNR1, GTF2IP4, FZD1, PAX5, RP11-35N6.1, UNC5B, NKX1-2, FAM196A, EBF3, PRRG4, LRP4, SYT7, PLBD1, GRASP, ALX1, HIP1R, LPAR6, SLITRK6, C16orf89, RP11-491F9.1, MMP2, B3GNT9, NXPH3, TNRC6C-AS1, LDLRAD4, NOL4, SMAD7, HCN2, PDE4A, KANK2, SAMD1, EXOC3L2, IL11, EMILIN3, KCNB1, DOK5, EEF1A2, A4GALT, ADGRG2, ELF4, ABCD1 Term Count % PValue Genes regulation of pathway-restricted GDF3, SMAD7, GDF7, BMPR2, GDF10, GREM1, BMP7, LDLRAD4, SMAD protein phosphorylation 9 6.34 1.31E-08 ENG pathway-restricted SMAD protein GDF3, SMAD7, GDF7, BMPR2, GDF10, GREM1, BMP7, LDLRAD4, phosphorylation -
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, -
A Functional Study of ADAMTS7 Gene Variants
A functional study of ADAMTS7 gene variants Xiangyuan Pu A thesis submitted to the University of London for the degree of Doctor of Philosophy Centre for Clinical Pharmacology William Harvey Research Institute Barts and the London School of Medicine and Dentistry Queen Mary, University of London March, 2014 I dedicate this thesis to my parents and my fiancée. Without their endless love, support and encouragement, none of my achievements would be possible. 2 Abstract Background: Recent studies have revealed an association between genetic variants at the ADAMTS7 (a disintegrin-like and metalloprotease with thrombospondin type 1 motif, 7) locus and susceptibility to coronary artery disease (CAD). ADAMTS-7 has been reported to facilitate vascular smooth muscle cell (VSMC) migration and promote neointima formation. We sought to study the functional mechanisms underlying this relationship and to further investigate the role of ADAMTS-7 in atherosclerosis. Methods and Results: In vitro assays showed that the CAD-associated non-synonymous single nucleotide polymorphism rs3825807, which results in a serine to proline (Ser-to- Pro) substitution at residue 214 in the ADAMTS-7 pro-domain, affected ADAMTS-7 pro- domain cleavage. Immunohistochemical analyses showed that ADAMTS-7 localised to vascular smooth muscle cells (VSMCs) and endothelial cells (ECs) in human coronary and carotid atherosclerotic plaques. Cell migration assays demonstrated that VSMCs and ECs from individuals who were homozygous for the adenine (A) allele (encoding the Ser214 isoform) had increased migratory ability compared with cells from individuals who were homozygous for the G allele (encoding the Pro214 isoform). Western blot analyses revealed that media conditioned by VSMCs of the A/A genotype contained more cleaved ADAMTS-7 pro-domain and more of the cleaved form of thrombospondin-5 (TSP-5, an ADAMTS-7 substrate that had been shown to be produced by VSMCs and inhibit VSMC migration). -
Identification of Cis-Regulatory Sequence
Worsley-Hunt et al. Genome Medicine 2011, 3:65 http://genomemedicine.com/content/3/9/65 REVIEW Identication of cis-regulatory sequence variations in individual genome sequences Rebecca Worsley-Hunt1,2, Virginie Bernard1 and Wyeth W Wasserman1* Abstract for the appropriate patterning or magnitude of gene expression. Similarly, mutations can disrupt other sequence- Functional contributions of cis-regulatory sequence specific regulatory controls, such as elements regulating variations to human genetic disease are numerous. For RNA splicing or stability. Although much emphasis in the instance, disrupting variations in a HNF4A transcription age of exome sequencing has been placed on variation factor binding site upstream of the Factor IX gene within protein-encoding sequences, it is apparent that contributes causally to hemophilia B Leyden. Although regulatory sequence disruptions will become a key focus clinical genome sequence analysis currently focuses as full genome sequences become widely accessible for on the identication of protein-altering variation, the medical genetics research. impact of cis-regulatory mutations can be similarly e emerging collection of cis-regulatory variations strong. New technologies are now enabling genome that cause human disease or altered phenotype is grow- sequencing beyond exomes, revealing variation across ing [2-4]. Reports identify cis-acting, expression-altering the non-coding 98% of the genome responsible for mutations observed within introns, far upstream of developmental and physiological patterns of gene genes, at splicing sites or within microRNA target sites. activity. The capacity to identify causal regulatory For example, cis-regulatory mutations have roles in hemo- mutations is improving, but predicting functional philia, Gilbert’s syndrome, Bernard-Soulier syndrome, changes in regulatory DNA sequences remains a great irritable bowel syndrome, beta-thalassemia, cholesterol challenge. -
Transcriptome-Wide Profiling of Cerebral Cavernous Malformations
www.nature.com/scientificreports OPEN Transcriptome-wide Profling of Cerebral Cavernous Malformations Patients Reveal Important Long noncoding RNA molecular signatures Santhilal Subhash 2,8, Norman Kalmbach3, Florian Wegner4, Susanne Petri4, Torsten Glomb5, Oliver Dittrich-Breiholz5, Caiquan Huang1, Kiran Kumar Bali6, Wolfram S. Kunz7, Amir Samii1, Helmut Bertalanfy1, Chandrasekhar Kanduri2* & Souvik Kar1,8* Cerebral cavernous malformations (CCMs) are low-fow vascular malformations in the brain associated with recurrent hemorrhage and seizures. The current treatment of CCMs relies solely on surgical intervention. Henceforth, alternative non-invasive therapies are urgently needed to help prevent subsequent hemorrhagic episodes. Long non-coding RNAs (lncRNAs) belong to the class of non-coding RNAs and are known to regulate gene transcription and involved in chromatin remodeling via various mechanism. Despite accumulating evidence demonstrating the role of lncRNAs in cerebrovascular disorders, their identifcation in CCMs pathology remains unknown. The objective of the current study was to identify lncRNAs associated with CCMs pathogenesis using patient cohorts having 10 CCM patients and 4 controls from brain. Executing next generation sequencing, we performed whole transcriptome sequencing (RNA-seq) analysis and identifed 1,967 lncRNAs and 4,928 protein coding genes (PCGs) to be diferentially expressed in CCMs patients. Among these, we selected top 6 diferentially expressed lncRNAs each having signifcant correlative expression with more than 100 diferentially expressed PCGs. The diferential expression status of the top lncRNAs, SMIM25 and LBX2-AS1 in CCMs was further confrmed by qRT-PCR analysis. Additionally, gene set enrichment analysis of correlated PCGs revealed critical pathways related to vascular signaling and important biological processes relevant to CCMs pathophysiology. -
Gene Symbol Category ACAN ECM ADAM10 ECM Remodeling-Related ADAM11 ECM Remodeling-Related ADAM12 ECM Remodeling-Related ADAM15 E
Supplementary Material (ESI) for Integrative Biology This journal is (c) The Royal Society of Chemistry 2010 Gene symbol Category ACAN ECM ADAM10 ECM remodeling-related ADAM11 ECM remodeling-related ADAM12 ECM remodeling-related ADAM15 ECM remodeling-related ADAM17 ECM remodeling-related ADAM18 ECM remodeling-related ADAM19 ECM remodeling-related ADAM2 ECM remodeling-related ADAM20 ECM remodeling-related ADAM21 ECM remodeling-related ADAM22 ECM remodeling-related ADAM23 ECM remodeling-related ADAM28 ECM remodeling-related ADAM29 ECM remodeling-related ADAM3 ECM remodeling-related ADAM30 ECM remodeling-related ADAM5 ECM remodeling-related ADAM7 ECM remodeling-related ADAM8 ECM remodeling-related ADAM9 ECM remodeling-related ADAMTS1 ECM remodeling-related ADAMTS10 ECM remodeling-related ADAMTS12 ECM remodeling-related ADAMTS13 ECM remodeling-related ADAMTS14 ECM remodeling-related ADAMTS15 ECM remodeling-related ADAMTS16 ECM remodeling-related ADAMTS17 ECM remodeling-related ADAMTS18 ECM remodeling-related ADAMTS19 ECM remodeling-related ADAMTS2 ECM remodeling-related ADAMTS20 ECM remodeling-related ADAMTS3 ECM remodeling-related ADAMTS4 ECM remodeling-related ADAMTS5 ECM remodeling-related ADAMTS6 ECM remodeling-related ADAMTS7 ECM remodeling-related ADAMTS8 ECM remodeling-related ADAMTS9 ECM remodeling-related ADAMTSL1 ECM remodeling-related ADAMTSL2 ECM remodeling-related ADAMTSL3 ECM remodeling-related ADAMTSL4 ECM remodeling-related ADAMTSL5 ECM remodeling-related AGRIN ECM ALCAM Cell-cell adhesion ANGPT1 Soluble factors and receptors -
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.