Claudin 6: Therapeutic Prospects for Tumours, and Mechanisms of Expression and Regulation (Review)
Total Page:16
File Type:pdf, Size:1020Kb
Load more
Recommended publications
-
Genome Wide Association Study of Response to Interval and Continuous Exercise Training: the Predict‑HIIT Study Camilla J
Williams et al. J Biomed Sci (2021) 28:37 https://doi.org/10.1186/s12929-021-00733-7 RESEARCH Open Access Genome wide association study of response to interval and continuous exercise training: the Predict-HIIT study Camilla J. Williams1†, Zhixiu Li2†, Nicholas Harvey3,4†, Rodney A. Lea4, Brendon J. Gurd5, Jacob T. Bonafglia5, Ioannis Papadimitriou6, Macsue Jacques6, Ilaria Croci1,7,20, Dorthe Stensvold7, Ulrik Wislof1,7, Jenna L. Taylor1, Trishan Gajanand1, Emily R. Cox1, Joyce S. Ramos1,8, Robert G. Fassett1, Jonathan P. Little9, Monique E. Francois9, Christopher M. Hearon Jr10, Satyam Sarma10, Sylvan L. J. E. Janssen10,11, Emeline M. Van Craenenbroeck12, Paul Beckers12, Véronique A. Cornelissen13, Erin J. Howden14, Shelley E. Keating1, Xu Yan6,15, David J. Bishop6,16, Anja Bye7,17, Larisa M. Haupt4, Lyn R. Grifths4, Kevin J. Ashton3, Matthew A. Brown18, Luciana Torquati19, Nir Eynon6 and Jef S. Coombes1* Abstract Background: Low cardiorespiratory ftness (V̇O2peak) is highly associated with chronic disease and mortality from all causes. Whilst exercise training is recommended in health guidelines to improve V̇O2peak, there is considerable inter-individual variability in the V̇O2peak response to the same dose of exercise. Understanding how genetic factors contribute to V̇O2peak training response may improve personalisation of exercise programs. The aim of this study was to identify genetic variants that are associated with the magnitude of V̇O2peak response following exercise training. Methods: Participant change in objectively measured V̇O2peak from 18 diferent interventions was obtained from a multi-centre study (Predict-HIIT). A genome-wide association study was completed (n 507), and a polygenic predictor score (PPS) was developed using alleles from single nucleotide polymorphisms= (SNPs) signifcantly associ- –5 ated (P < 1 10 ) with the magnitude of V̇O2peak response. -
New PDF Document
888.267.4436 [email protected] www.origene.com Name:CLDN6 mouse monoclonal antibody, clone OTI3E3 (formerly 3E3) Catalog: TA507011 Product Data Sheet - TRUEMAB Components: • CLDN6 mouse monoclonal antibody, clone OTI3E3 (formerly 3E3) (TA507011) • WB positive control also available: 20ug myc-DDK tagged CLDN6 HEK293T over-expression lysate lyophilized in RIPA buffer (LC412034). (Reconstitute into 20ul of 1x SDS sample buffer before loading; load 5ul per lane as WB control or as desired) Amount: 100ul Immunogen: Full length human recombinant protein of human CLDN6(NP_067018) produced in HEK293T cell. Host: Mouse Isotype: IgG1 Species Reactivity: Human Guaranteed WB, IF Applications: Suggested WB 1:1000, IF 1:100, Dilutions: Concentration: 1 mg/ml Buffer: PBS (PH 7.3) containing 1% BSA, 50% glycerol and 0.02% sodium azide. Purification: Purified from mouse ascites fluids by affinity chromatography Storage Condition: Shipped at -20C or with ice packs. Upon delivery store at -20C. Dilute in PBS (pH7.3) if necessary. Stable for 12 months from date of receipt. Avoid repeated freeze-thaws. Target Target Name: Homo sapiens claudin 6 (CLDN6) Alternative Name: OTTHUMP00000159248; claudin 6 Database Link: NP_067018 Entrez Gene 9074 Human Function: Tight junctions represent one mode of cell-to-cell adhesion in epithelial or endothelial cell sheets, forming continuous seals around cells and serving as a physical barrier to prevent solutes and water from passing freely through the paracellular space. These junctions are comprised of sets of continuous networking strands in the outwardly facing cytoplasmic leaflet, with complementary grooves in the inwardly facing extracytoplasmic leaflet. This gene encodes a component of tight junction strands, which This product is to be used for laboratory only. -
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, -
Small Cell Carcinoma of the Ovary, Hypercalcemic Type (SCCOHT) Beyond SMARCA4 Mutations: a Comprehensive Genomic Analysis
cells Article Small Cell Carcinoma of the Ovary, Hypercalcemic Type (SCCOHT) beyond SMARCA4 Mutations: A Comprehensive Genomic Analysis Aurélie Auguste 1,Félix Blanc-Durand 2 , Marc Deloger 3 , Audrey Le Formal 1, Rohan Bareja 4,5, David C. Wilkes 4 , Catherine Richon 6,Béatrice Brunn 2, Olivier Caron 6, Mojgan Devouassoux-Shisheboran 7,Sébastien Gouy 2, Philippe Morice 2, Enrica Bentivegna 2, Andrea Sboner 4,5,8, Olivier Elemento 4,8, Mark A. Rubin 9 , Patricia Pautier 2, Catherine Genestie 10, Joanna Cyrta 4,9,11 and Alexandra Leary 1,2,* 1 Medical Oncologist, Gynecology Unit, Lead Translational Research Team, INSERM U981, Gustave Roussy, 94805 Villejuif, France; [email protected] (A.A.); [email protected] (A.L.F.) 2 Gynecological Unit, Department of Medicine, Gustave Roussy, 94805 Villejuif, France; [email protected] (F.B.-D.); [email protected] (B.B.); [email protected] (S.G.); [email protected] (P.M.); [email protected] (E.B.); [email protected] (P.P.) 3 Bioinformatics Core Facility, Gustave Roussy Cancer Center, UMS CNRS 3655/INSERM 23 AMMICA, 94805 Villejuif, France; [email protected] 4 Caryl and Israel Englander Institute for Precision Medicine, Weill Cornell Medicine, New York, NY 10001, USA; [email protected] (R.B.); [email protected] (D.C.W.); [email protected] (A.S.); [email protected] (O.E.); [email protected] (J.C.) 5 Institute for Computational Biomedicine, Weill Cornell -
Supplementary Materials
Supplementary materials Supplementary Table S1: MGNC compound library Ingredien Molecule Caco- Mol ID MW AlogP OB (%) BBB DL FASA- HL t Name Name 2 shengdi MOL012254 campesterol 400.8 7.63 37.58 1.34 0.98 0.7 0.21 20.2 shengdi MOL000519 coniferin 314.4 3.16 31.11 0.42 -0.2 0.3 0.27 74.6 beta- shengdi MOL000359 414.8 8.08 36.91 1.32 0.99 0.8 0.23 20.2 sitosterol pachymic shengdi MOL000289 528.9 6.54 33.63 0.1 -0.6 0.8 0 9.27 acid Poricoic acid shengdi MOL000291 484.7 5.64 30.52 -0.08 -0.9 0.8 0 8.67 B Chrysanthem shengdi MOL004492 585 8.24 38.72 0.51 -1 0.6 0.3 17.5 axanthin 20- shengdi MOL011455 Hexadecano 418.6 1.91 32.7 -0.24 -0.4 0.7 0.29 104 ylingenol huanglian MOL001454 berberine 336.4 3.45 36.86 1.24 0.57 0.8 0.19 6.57 huanglian MOL013352 Obacunone 454.6 2.68 43.29 0.01 -0.4 0.8 0.31 -13 huanglian MOL002894 berberrubine 322.4 3.2 35.74 1.07 0.17 0.7 0.24 6.46 huanglian MOL002897 epiberberine 336.4 3.45 43.09 1.17 0.4 0.8 0.19 6.1 huanglian MOL002903 (R)-Canadine 339.4 3.4 55.37 1.04 0.57 0.8 0.2 6.41 huanglian MOL002904 Berlambine 351.4 2.49 36.68 0.97 0.17 0.8 0.28 7.33 Corchorosid huanglian MOL002907 404.6 1.34 105 -0.91 -1.3 0.8 0.29 6.68 e A_qt Magnogrand huanglian MOL000622 266.4 1.18 63.71 0.02 -0.2 0.2 0.3 3.17 iolide huanglian MOL000762 Palmidin A 510.5 4.52 35.36 -0.38 -1.5 0.7 0.39 33.2 huanglian MOL000785 palmatine 352.4 3.65 64.6 1.33 0.37 0.7 0.13 2.25 huanglian MOL000098 quercetin 302.3 1.5 46.43 0.05 -0.8 0.3 0.38 14.4 huanglian MOL001458 coptisine 320.3 3.25 30.67 1.21 0.32 0.9 0.26 9.33 huanglian MOL002668 Worenine -
A Common Variant in CLDN14 Is Associated with Primary Biliary
www.nature.com/scientificreports OPEN A Common Variant in CLDN14 is Associated with Primary Biliary Cirrhosis and Bone Mineral Density Received: 13 October 2015 Ruqi Tang1,*, Yiran Wei1,*, Zhiqiang Li2,*, Haoyan Chen1, Qi Miao1, Zhaolian Bian1, Accepted: 16 December 2015 Haiyan Zhang1, Qixia Wang1, Zhaoyue Wang1, Min Lian1, Fan Yang1, Xiang Jiang1, Yue Yang1, Published: 04 February 2016 Enling Li1, Michael F. Seldin3,4, M. Eric Gershwin4, Wilson Liao5, Yongyong Shi3 & Xiong Ma1 Primary biliary cirrhosis (PBC), a chronic autoimmune liver disease, has been associated with increased incidence of osteoporosis. Intriguingly, two PBC susceptibility loci identified through genome-wide association studies are also involved in bone mineral density (BMD). These observations led us to investigate the genetic variants shared between PBC and BMD. We evaluated 72 genome-wide significant BMD SNPs for association with PBC using two European GWAS data sets (n = 8392), with replication of significant findings in a Chinese cohort (685 cases, 1152 controls). Our analysis identified a novel variant in the intron of the CLDN14 gene (rs170183, Pfdr = 0.015) after multiple testing correction. The three associated variants were followed-up in the Chinese cohort; one SNP rs170183 demonstrated −5 consistent evidence of association in diverse ethnic populations (Pcombined = 2.43 × 10 ). Notably, expression quantitative trait loci (eQTL) data revealed that rs170183 was correlated with a decline in CLDN14 expression in both lymphoblastoid cell lines and T cells (Padj = 0.003 and 0.016, respectively). In conclusion, our study identified a novel PBC susceptibility variant that has been shown to be strongly associated with BMD, highlighting the potential of pleiotropy to improve gene discovery. -
1 Integrative Omics Analyses Reveal Epigenetic Memory in Diabetic Renal
Page 1 of 53 Diabetes Integrative Omics analyses reveal epigenetic memory in diabetic renal cells regulating genes associated with kidney dysfunction. Anita Bansal1, Sreeram Balasubramanian2, Sangeeta Dhawan3, Amy Leung1, Zhen Chen1, Rama Natarajan*1. 1Department of Diabetes Complications and Metabolism, Diabetes and Metabolism Research Institute, Beckman Research Institute of City of Hope, 1500 East Duarte Road, Duarte, CA 91010, 2 Division of Biology and Biological Engineering, California Institute of Technology, 1200 E California Blvd, Pasadena, CA 91125, 3Department of Translational Research and Cellular Therapeutics, Diabetes and Metabolism Research Institute, Beckman Research Institute of City of Hope, 1500 East Duarte Road, Duarte, CA 91010. Correspondence to * Rama Natarajan. Email: [email protected] 626-218-2289 Keywords Diabetic kidney disease, tubular epithelial cells, metabolic memory, epigenomics Running title: Epigenetic memory in diabetic renal tubular cells Word count: 4949 Number of Figures: 6 1 Diabetes Publish Ahead of Print, published online August 3, 2020 Diabetes Page 2 of 53 Abstract Diabetic kidney disease (DKD) is a major complication of diabetes and the leading cause of end- stage renal failure. Epigenetics has been associated with metabolic memory, in which prior periods of hyperglycemia enhance the future risk of developing DKD despite subsequent glycemic control. To understand the mechanistic role of such epigenetic memory in human DKD and identify new therapeutic targets, we profiled gene expression, DNA methylation, and chromatin accessibility in kidney proximal tubule epithelial cells (PTECs) derived from non-diabetic and Type-2 diabetic (T2D) subjects. T2D-PTECs displayed persistent gene expression and epigenetic changes with and without TGFβ1 treatment, even after culturing in vitro under similar conditions as non-diabetic PTECs, signified by deregulation of fibrotic and transport associated genes (TAGs). -
Downloaded 18 July 2014 with a 1% False Discovery Rate (FDR)
UC Berkeley UC Berkeley Electronic Theses and Dissertations Title Chemical glycoproteomics for identification and discovery of glycoprotein alterations in human cancer Permalink https://escholarship.org/uc/item/0t47b9ws Author Spiciarich, David Publication Date 2017 Peer reviewed|Thesis/dissertation eScholarship.org Powered by the California Digital Library University of California Chemical glycoproteomics for identification and discovery of glycoprotein alterations in human cancer by David Spiciarich A dissertation submitted in partial satisfaction of the requirements for the degree Doctor of Philosophy in Chemistry in the Graduate Division of the University of California, Berkeley Committee in charge: Professor Carolyn R. Bertozzi, Co-Chair Professor David E. Wemmer, Co-Chair Professor Matthew B. Francis Professor Amy E. Herr Fall 2017 Chemical glycoproteomics for identification and discovery of glycoprotein alterations in human cancer © 2017 by David Spiciarich Abstract Chemical glycoproteomics for identification and discovery of glycoprotein alterations in human cancer by David Spiciarich Doctor of Philosophy in Chemistry University of California, Berkeley Professor Carolyn R. Bertozzi, Co-Chair Professor David E. Wemmer, Co-Chair Changes in glycosylation have long been appreciated to be part of the cancer phenotype; sialylated glycans are found at elevated levels on many types of cancer and have been implicated in disease progression. However, the specific glycoproteins that contribute to cell surface sialylation are not well characterized, specifically in bona fide human cancer. Metabolic and bioorthogonal labeling methods have previously enabled enrichment and identification of sialoglycoproteins from cultured cells and model organisms. The goal of this work was to develop technologies that can be used for detecting changes in glycoproteins in clinical models of human cancer. -
Application of Microarray-Based Comparative Genomic Hybridization in Prenatal and Postnatal Settings: Three Case Reports
SAGE-Hindawi Access to Research Genetics Research International Volume 2011, Article ID 976398, 9 pages doi:10.4061/2011/976398 Case Report Application of Microarray-Based Comparative Genomic Hybridization in Prenatal and Postnatal Settings: Three Case Reports Jing Liu, Francois Bernier, Julie Lauzon, R. Brian Lowry, and Judy Chernos Department of Medical Genetics, University of Calgary, 2888 Shaganappi Trail NW, Calgary, AB, Canada T3B 6A8 Correspondence should be addressed to Judy Chernos, [email protected] Received 16 February 2011; Revised 20 April 2011; Accepted 20 May 2011 Academic Editor: Reha Toydemir Copyright © 2011 Jing Liu et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Microarray-based comparative genomic hybridization (array CGH) is a newly emerged molecular cytogenetic technique for rapid evaluation of the entire genome with sub-megabase resolution. It allows for the comprehensive investigation of thousands and millions of genomic loci at once and therefore enables the efficient detection of DNA copy number variations (a.k.a, cryptic genomic imbalances). The development and the clinical application of array CGH have revolutionized the diagnostic process in patients and has provided a clue to many unidentified or unexplained diseases which are suspected to have a genetic cause. In this paper, we present three clinical cases in both prenatal and postnatal settings. Among all, array CGH played a major discovery role to reveal the cryptic and/or complex nature of chromosome arrangements. By identifying the genetic causes responsible for the clinical observation in patients, array CGH has provided accurate diagnosis and appropriate clinical management in a timely and efficient manner. -
Chromosome 21 Leading Edge Gene Set
Chromosome 21 Leading Edge Gene Set Genes from chr21q22 that are part of the GSEA leading edge set identifying differences between trisomic and euploid samples. Multiple probe set IDs corresponding to a single gene symbol are combined as part of the GSEA analysis. Gene Symbol Probe Set IDs Gene Title 203865_s_at, 207999_s_at, 209979_at, adenosine deaminase, RNA-specific, B1 ADARB1 234539_at, 234799_at (RED1 homolog rat) UDP-Gal:betaGlcNAc beta 1,3- B3GALT5 206947_at galactosyltransferase, polypeptide 5 BACE2 217867_x_at, 222446_s_at beta-site APP-cleaving enzyme 2 1553227_s_at, 214820_at, 219280_at, 225446_at, 231860_at, 231960_at, bromodomain and WD repeat domain BRWD1 244622_at containing 1 C21orf121 240809_at chromosome 21 open reading frame 121 C21orf130 240068_at chromosome 21 open reading frame 130 C21orf22 1560881_a_at chromosome 21 open reading frame 22 C21orf29 1552570_at, 1555048_at_at, 1555049_at chromosome 21 open reading frame 29 C21orf33 202217_at, 210667_s_at chromosome 21 open reading frame 33 C21orf45 219004_s_at, 228597_at, 229671_s_at chromosome 21 open reading frame 45 C21orf51 1554430_at, 1554432_x_at, 228239_at chromosome 21 open reading frame 51 C21orf56 223360_at chromosome 21 open reading frame 56 C21orf59 218123_at, 244369_at chromosome 21 open reading frame 59 C21orf66 1555125_at, 218515_at, 221158_at chromosome 21 open reading frame 66 C21orf7 221211_s_at chromosome 21 open reading frame 7 C21orf77 220826_at chromosome 21 open reading frame 77 C21orf84 239968_at, 240589_at chromosome 21 open reading frame 84 -
6, -11 and -14 As Prognostic Markers in Human Breast Carcinoma
Int J Clin Exp Pathol 2019;12(6):2195-2204 www.ijcep.com /ISSN:1936-2625/IJCEP0091345 Original Article Identification of claudin-2, -6, -11 and -14 as prognostic markers in human breast carcinoma Hongyao Jia1, Xin Chai2, Sijie Li1, Di Wu1, Zhimin Fan1 1Department of Breast Surgery, The First Hospital of Jilin University, Changchun 130021, Jilin, P. R. China; 2De- partment of Breast Surgery, Jilin Cancer Hospital, 1018 Huguang Street, Changchun 130021, Jilin, P. R. China Received January 15, 2019; Accepted March 25, 2019; Epub June 1, 2019; Published June 15, 2019 Abstract: The development of cancer occurs with various genomic and epigenetic modifications that act as indica- tors for early diagnosis and treatment. Recent data have shown that the abnormal expression of the claudin (CLDN) tight junction (TJ) proteins is involved in the tumorigenesis of numerous human cancers. Real-time quantitative PCR and western blotting were used to explore the differences in the expression of the CLDN TJ proteins in breast carcinoma tissues and non-neoplastic tissues. The results showed that CLDN5, CLDN9, CLDN12 and CLDN13 were not expressed in breast carcinoma tissues or non-neoplastic tissues. CLDN1, CLDN3, CLDN8 and CLDN10 were expressed in breast carcinoma and non-neoplastic tissues, but there was no significant difference between the ex- pression of these CLDN proteins among them. The expression of CLDN2, -6, -11 and -14 varied between the breast carcinoma and non-neoplastic tissues. Moreover, 86 samples of breast carcinoma and non-neoplastic tissues were examined for the expression of CLDN2, -6, -11 and -14 by streptavidin-peroxidase immunohistochemical staining. -
Genetic and Molecular Analysis of the CLDN14 Gene in Moroccan Family with Non‑Syndromic Hearing Loss
Original Article Genetic and molecular analysis of the CLDN14 gene in Moroccan family with non‑syndromic hearing loss Majida Charif, Redouane Boulouiz, Amina Bakhechane, Houda Benrahma, Halima Nahili, Abdelmajid Eloualid, Hassan Rouba, Mostafa Kandil, Omar Abidi, Guy Lenaers, Abdelhamid Barakat Département de Recherche Scientifique, Laboratoire de Génétique Moléculaire et Humaine, Institut Pasteur, 1, Place Louis Pasteur, C.P. 20360 Casablanca, Morocco Introduction BACKGROUND: Hearing loss is the most prevalent human genetic sensorineural defect. Mutations in the CLDN14 gene, encoding the tight junction claudin 14 protein Hearing loss is the most prevalent human genetic expressed in the inner ear, have been shown to cause non‑syndromic recessive hearing loss DFNB29. sensorineural defect. It occurs in 1 in 500 births and AIM: We describe a Moroccan SF7 family with affects 278 million people world‑wide.[1,2] The majority of non‑syndromic hearing loss. We performed linkage analysis in this family and sequencing to identify the the genes responsible for this disease have not yet been mutation causing deafness. cloned and little is known about the corresponding gene MATERIALS AND METHODS: Genetic linkage analysis, suggested the involvement of CLDN14 and KCNE1 gene in products and their function in the cochlea. Nevertheless, deafness in this family. Mutation screening was performed several genes responsible for neurosensory deafness using direct sequencing of the CLDN14 and KCNE1 coding are involved in the regulation of the crucial inner ear ion exon gene. RESULTS: Our results show the presence of c.11C>T homeostasis. The most studied include genes coding for mutation in the CLDN14 gene. Transmission analysis of the connexins (GJB2,[3] GJB3[4] and GJB6[5]), for the ion this mutation in the family showed that the three affected [6] [7] [8] individuals are homozygous, whereas parents and three channels (KCNQ4, SLC26A4 and SLC26A5 ) and the healthy individuals are heterozygous.