Phylogenetic, Syntenic, and Tissue Expression Analysis of Slc22 Genes in Zebrafish (Danio Rerio)
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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, -
Differential Expression of Hydroxyurea Transporters in Normal and Polycythemia Vera Hematopoietic Stem and Progenitor Cell Subpopulations
Zurich Open Repository and Archive University of Zurich Main Library Strickhofstrasse 39 CH-8057 Zurich www.zora.uzh.ch Year: 2021 Differential expression of hydroxyurea transporters in normal and polycythemia vera hematopoietic stem and progenitor cell subpopulations Tan, Ge ; Meier-Abt, Fabienne Abstract: Polycythemia vera (PV) is a myeloproliferative neoplasm marked by hyperproliferation of the myeloid lineages and the presence of an activating JAK2 mutation. Hydroxyurea (HU) is a standard treat- ment for high-risk patients with PV. Because disease-driving mechanisms are thought to arise in PV stem cells, effective treatments should target primarily the stem cell compartment. We tested for theantipro- liferative effect of patient treatment with HU in fluorescence-activated cell sorting-isolated hematopoietic stem/multipotent progenitor cells (HSC/MPPs) and more committed erythroid progenitors (common myeloid/megakaryocyte-erythrocyte progenitors [CMP/MEPs]) in PV using RNA-sequencing and gene set enrichment analysis. HU treatment led to significant downregulation of gene sets associated with cell proliferation in PV HSCs/MPPs, but not in PV CMP/MEPs. To explore the mechanism underlying this finding, we assessed for expression of solute carrier membrane transporters, which mediate trans- membrane movement of drugs such as HU into target cells. The active HU uptake transporter OCTN1 was upregulated in HSC/MPPs compared with CMP/MEPs of untreated patients with PV, and the HU diffusion facilitator urea transporter B (UTB) was downregulated in HSC/MPPs compared withCM- P/MEPs in all patient and control groups tested. These findings indicate a higher accumulation ofHU within PV HSC/MPPs compared with PV CMP/MEPs and provide an explanation for the differential effects of HU in HSC/MPPs and CMP/MEPs of patients with PV. -
Anti-SLC22A13 (Aa 38-139) Polyclonal Antibody (DPAB-DC3801) This Product Is for Research Use Only and Is Not Intended for Diagnostic Use
Anti-SLC22A13 (aa 38-139) polyclonal antibody (DPAB-DC3801) This product is for research use only and is not intended for diagnostic use. PRODUCT INFORMATION Antigen Description This gene encodes a member of the organic-cation transporter family. It is located in a gene cluster with another member of the family, organic cation transporter like 4. The encoded protein is a transmembrane protein involved in the transport of small molecules. This protein can function to mediate urate uptake and is a high affinity nicotinate exchanger in the kidneys and the intestine. Immunogen SLC22A13 (NP_004247, 38 a.a. ~ 139 a.a) partial recombinant protein with GST tag. The sequence is AHVFMVLDEPHHCAVAWVKNHTFNLSAAEQLVLSVPLDTAGHPEPCLMFRPPPANASLQDILSH RFNETQPCDMGWEYPENRLPSLKNEFNLVCDRKHLKDT Source/Host Mouse Species Reactivity Human Conjugate Unconjugated Applications WB (Recombinant protein), ELISA, Size 50 μl Buffer 50 % glycerol Preservative None Storage Store at -20°C or lower. Aliquot to avoid repeated freezing and thawing. GENE INFORMATION Gene Name SLC22A13 solute carrier family 22 (organic anion/urate transporter), member 13 [ Homo sapiens (human) ] Official Symbol SLC22A13 Synonyms SLC22A13; solute carrier family 22 (organic anion/urate transporter), member 13; OAT10; 45-1 Ramsey Road, Shirley, NY 11967, USA Email: [email protected] Tel: 1-631-624-4882 Fax: 1-631-938-8221 1 © Creative Diagnostics All Rights Reserved OCTL1; OCTL3; ORCTL3; ORCTL-3; solute carrier family 22 member 13; organic cation transporter-like 3; organic-cation transporter like 3; organic cationic transporter-like 3; solute carrier family 22, member 13; solute carrier family 22 (organic anion transporter), member 13; Entrez Gene ID 9390 Protein Refseq NP_004247 UniProt ID Q9Y226 Chromosome Location 3p21.3 Function nicotinate transporter activity; organic cation transmembrane transporter activity; 45-1 Ramsey Road, Shirley, NY 11967, USA Email: [email protected] Tel: 1-631-624-4882 Fax: 1-631-938-8221 2 © Creative Diagnostics All Rights Reserved. -
Cellular and Molecular Signatures in the Disease Tissue of Early
Cellular and Molecular Signatures in the Disease Tissue of Early Rheumatoid Arthritis Stratify Clinical Response to csDMARD-Therapy and Predict Radiographic Progression Frances Humby1,* Myles Lewis1,* Nandhini Ramamoorthi2, Jason Hackney3, Michael Barnes1, Michele Bombardieri1, Francesca Setiadi2, Stephen Kelly1, Fabiola Bene1, Maria di Cicco1, Sudeh Riahi1, Vidalba Rocher-Ros1, Nora Ng1, Ilias Lazorou1, Rebecca E. Hands1, Desiree van der Heijde4, Robert Landewé5, Annette van der Helm-van Mil4, Alberto Cauli6, Iain B. McInnes7, Christopher D. Buckley8, Ernest Choy9, Peter Taylor10, Michael J. Townsend2 & Costantino Pitzalis1 1Centre for Experimental Medicine and Rheumatology, William Harvey Research Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, Charterhouse Square, London EC1M 6BQ, UK. Departments of 2Biomarker Discovery OMNI, 3Bioinformatics and Computational Biology, Genentech Research and Early Development, South San Francisco, California 94080 USA 4Department of Rheumatology, Leiden University Medical Center, The Netherlands 5Department of Clinical Immunology & Rheumatology, Amsterdam Rheumatology & Immunology Center, Amsterdam, The Netherlands 6Rheumatology Unit, Department of Medical Sciences, Policlinico of the University of Cagliari, Cagliari, Italy 7Institute of Infection, Immunity and Inflammation, University of Glasgow, Glasgow G12 8TA, UK 8Rheumatology Research Group, Institute of Inflammation and Ageing (IIA), University of Birmingham, Birmingham B15 2WB, UK 9Institute of -
Analysis of OAT, OCT, OCTN, and Other Family Members Reveals 8
bioRxiv preprint doi: https://doi.org/10.1101/2019.12.23.887299; this version posted December 26, 2019. 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. Reclassification of SLC22 Transporters: Analysis of OAT, OCT, OCTN, and other Family Members Reveals 8 Functional Subgroups Darcy Engelhart1, Jeffry C. Granados2, Da Shi3, Milton Saier Jr.4, Michael Baker6, Ruben Abagyan3, Sanjay K. Nigam5,6 1Department of Biology, University of California San Diego, La Jolla 92093 2Department of Bioengineering, University of California San Diego, La Jolla 92093 3School of Pharmacy and Pharmaceutical Sciences, University of California San Diego, La Jolla 92093 4Department of Molecular Biology, Division of Biological Sciences, University of California at San Diego, San Diego, CA, USA 5Department of Pediatrics, University of California San Diego, La Jolla 92093 6Department of Medicine, University of California San Diego, La Jolla 92093 *To whom correspondence should be addressed: [email protected] Running title: Functional subgroups for SLC22 1 bioRxiv preprint doi: https://doi.org/10.1101/2019.12.23.887299; this version posted December 26, 2019. 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. Abstract Among transporters, the SLC22 family is emerging as a central hub of endogenous physiology. -
Disease-Induced Modulation of Drug Transporters at the Blood–Brain Barrier Level
International Journal of Molecular Sciences Review Disease-Induced Modulation of Drug Transporters at the Blood–Brain Barrier Level Sweilem B. Al Rihani 1 , Lucy I. Darakjian 1, Malavika Deodhar 1 , Pamela Dow 1 , Jacques Turgeon 1,2 and Veronique Michaud 1,2,* 1 Tabula Rasa HealthCare, Precision Pharmacotherapy Research and Development Institute, Orlando, FL 32827, USA; [email protected] (S.B.A.R.); [email protected] (L.I.D.); [email protected] (M.D.); [email protected] (P.D.); [email protected] (J.T.) 2 Faculty of Pharmacy, Université de Montréal, Montreal, QC H3C 3J7, Canada * Correspondence: [email protected]; Tel.: +1-856-938-8697 Abstract: The blood–brain barrier (BBB) is a highly selective and restrictive semipermeable network of cells and blood vessel constituents. All components of the neurovascular unit give to the BBB its crucial and protective function, i.e., to regulate homeostasis in the central nervous system (CNS) by removing substances from the endothelial compartment and supplying the brain with nutrients and other endogenous compounds. Many transporters have been identified that play a role in maintaining BBB integrity and homeostasis. As such, the restrictive nature of the BBB provides an obstacle for drug delivery to the CNS. Nevertheless, according to their physicochemical or pharmacological properties, drugs may reach the CNS by passive diffusion or be subjected to putative influx and/or efflux through BBB membrane transporters, allowing or limiting their distribution to the CNS. Drug transporters functionally expressed on various compartments of the BBB involve numerous proteins from either the ATP-binding cassette (ABC) or the solute carrier (SLC) superfamilies. -
Identification of Key Pathways and Genes in Dementia Via Integrated Bioinformatics Analysis
bioRxiv preprint doi: https://doi.org/10.1101/2021.04.18.440371; this version posted July 19, 2021. The copyright holder for this preprint (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission. Identification of Key Pathways and Genes in Dementia via Integrated Bioinformatics Analysis Basavaraj Vastrad1, Chanabasayya Vastrad*2 1. Department of Biochemistry, Basaveshwar College of Pharmacy, Gadag, Karnataka 582103, India. 2. Biostatistics and Bioinformatics, Chanabasava Nilaya, Bharthinagar, Dharwad 580001, Karnataka, India. * Chanabasayya Vastrad [email protected] Ph: +919480073398 Chanabasava Nilaya, Bharthinagar, Dharwad 580001 , Karanataka, India bioRxiv preprint doi: https://doi.org/10.1101/2021.04.18.440371; this version posted July 19, 2021. The copyright holder for this preprint (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission. Abstract To provide a better understanding of dementia at the molecular level, this study aimed to identify the genes and key pathways associated with dementia by using integrated bioinformatics analysis. Based on the expression profiling by high throughput sequencing dataset GSE153960 derived from the Gene Expression Omnibus (GEO), the differentially expressed genes (DEGs) between patients with dementia and healthy controls were identified. With DEGs, we performed a series of functional enrichment analyses. Then, a protein–protein interaction (PPI) network, modules, miRNA-hub gene regulatory network and TF-hub gene regulatory network was constructed, analyzed and visualized, with which the hub genes miRNAs and TFs nodes were screened out. Finally, validation of hub genes was performed by using receiver operating characteristic curve (ROC) analysis. -
Dmd.115.067694.Full.Pdf
DMD Fast Forward. Published on January 29, 2016 as DOI: 10.1124/dmd.115.067694 This article has not been copyedited and formatted. The final version may differ from this version. DMD # 67694 Review The complexities of interpreting reversible elevated serum creatinine levels in drug development: Does a correlation with inhibition of renal transporters exist? Xiaoyan Chu, Kelly Bleasby, Grace Hoyee Chan, Irene Nunes, Raymond Evers Downloaded from Department of Pharmacokinetics, Pharmacodynamics and Drug Metabolism, Merck Sharp & Dohme Corporation, Kenilworth, New Jersey, USA (XC, KB, GHC, RE); GRA Onc, dmd.aspetjournals.org Immunology, Biologics & Devices, Merck Sharp & Dohme Corporation, Kenilworth, New Jersey, USA (IN) at ASPET Journals on September 25, 2021 1 DMD Fast Forward. Published on January 29, 2016 as DOI: 10.1124/dmd.115.067694 This article has not been copyedited and formatted. The final version may differ from this version. DMD # 67694 Running Title: Serum creatinine and inhibition of renal transporters Corresponding Author: Xiaoyan Chu, Ph.D. Merck & Co, RY800-D211 126 East Lincoln Avenue Rahway, NJ 07065, USA Downloaded from Tel 732-594-0977; Fax 732-594-2382; e-mail [email protected] dmd.aspetjournals.org Number of text pages: 24 Number of tables: 3 at ASPET Journals on September 25, 2021 Number of figures: 3 Number of references: 116 Number of words in abstract: 242 Number of words in introduction: 815 Non-standard abbreviations: Serum creatinine (SCr), glomerular filtration rate (GFR), creatinine renal clearance (CLcr), organic cation transporter 2 (OCT2), multidrug and toxin extrusion protein 1 and -2K (MATE1 and MATE2K), organic anion transporter 2 (OAT2), drug-drug interaction (DDI), in vitro-in 2 DMD Fast Forward. -
Pflugers Final
CORE Metadata, citation and similar papers at core.ac.uk Provided by Serveur académique lausannois A comprehensive analysis of gene expression profiles in distal parts of the mouse renal tubule. Sylvain Pradervand2, Annie Mercier Zuber1, Gabriel Centeno1, Olivier Bonny1,3,4 and Dmitri Firsov1,4 1 - Department of Pharmacology and Toxicology, University of Lausanne, 1005 Lausanne, Switzerland 2 - DNA Array Facility, University of Lausanne, 1015 Lausanne, Switzerland 3 - Service of Nephrology, Lausanne University Hospital, 1005 Lausanne, Switzerland 4 – these two authors have equally contributed to the study to whom correspondence should be addressed: Dmitri FIRSOV Department of Pharmacology and Toxicology, University of Lausanne, 27 rue du Bugnon, 1005 Lausanne, Switzerland Phone: ++ 41-216925406 Fax: ++ 41-216925355 e-mail: [email protected] and Olivier BONNY Department of Pharmacology and Toxicology, University of Lausanne, 27 rue du Bugnon, 1005 Lausanne, Switzerland Phone: ++ 41-216925417 Fax: ++ 41-216925355 e-mail: [email protected] 1 Abstract The distal parts of the renal tubule play a critical role in maintaining homeostasis of extracellular fluids. In this review, we present an in-depth analysis of microarray-based gene expression profiles available for microdissected mouse distal nephron segments, i.e., the distal convoluted tubule (DCT) and the connecting tubule (CNT), and for the cortical portion of the collecting duct (CCD) (Zuber et al., 2009). Classification of expressed transcripts in 14 major functional gene categories demonstrated that all principal proteins involved in maintaining of salt and water balance are represented by highly abundant transcripts. However, a significant number of transcripts belonging, for instance, to categories of G protein-coupled receptors (GPCR) or serine-threonine kinases exhibit high expression levels but remain unassigned to a specific renal function. -
WO 2016/090486 Al 16 June 2016 (16.06.2016) W P O P C T
(12) INTERNATIONAL APPLICATION PUBLISHED UNDER THE PATENT COOPERATION TREATY (PCT) (19) World Intellectual Property Organization International Bureau (10) International Publication Number (43) International Publication Date WO 2016/090486 Al 16 June 2016 (16.06.2016) W P O P C T (51) International Patent Classification: (81) Designated States (unless otherwise indicated, for every C12N 5/071 (2010.01) CI2N 5/073 (2010.01) kind of national protection available): AE, AG, AL, AM, C12N 11/02 (2006.01) C12Q 1/02 (2006.01) AO, AT, AU, AZ, BA, BB, BG, BH, BN, BR, BW, BY, BZ, CA, CH, CL, CN, CO, CR, CU, CZ, DE, DK, DM, (21) Number: International Application DO, DZ, EC, EE, EG, ES, FI, GB, GD, GE, GH, GM, GT, PCT/CA20 15/05 1297 HN, HR, HU, ID, IL, IN, IR, IS, JP, KE, KG, KN, KP, KR, (22) International Filing Date: KZ, LA, LC, LK, LR, LS, LU, LY, MA, MD, ME, MG, 9 December 2015 (09.12.2015) MK, MN, MW, MX, MY, MZ, NA, NG, NI, NO, NZ, OM, PA, PE, PG, PH, PL, PT, QA, RO, RS, RU, RW, SA, SC, (25) Filing Language: English SD, SE, SG, SK, SL, SM, ST, SV, SY, TH, TJ, TM, TN, (26) Publication Language: English TR, TT, TZ, UA, UG, US, UZ, VC, VN, ZA, ZM, ZW. (30) Priority Data: (84) Designated States (unless otherwise indicated, for every 62/089,5 12 9 December 2014 (09. 12.2014) US kind of regional protection available): ARIPO (BW, GH, GM, KE, LR, LS, MW, MZ, NA, RW, SD, SL, ST, SZ, (71) Applicant: NATIONAL RESEARCH COUNCIL OF TZ, UG, ZM, ZW), Eurasian (AM, AZ, BY, KG, KZ, RU, CANADA [CA/CA]; M-55, 1200 Montreal Road, Ottawa, TJ, TM), European (AL, AT, BE, BG, CH, CY, CZ, DE, Ontario K lA 0R6 (CA). -
Differentially Methylated Genes
10/30/2013 Disclosures Key Rheumatoid Arthritis-Associated Pathogenic Pathways Revealed by Integrative Analysis of RA Omics Datasets Consultant: IGNYTA Funding: Rheumatology Research Foundation By John W. Whitaker, Wei Wang and Gary S. Firestein DNA methylation and gene regulation The RA methylation signature in FLS DNA methylation – DNMT1 (maintaining methylation) OA – DNMT3a, 3b (de novo methylation) RA % of CpG methylation: 0% 100% Nakano et al. 2013 ARD AA06 AANAT AARS ABCA6 ABCC12 ABCG1 ABHD8 ABL2 ABR ABRA ACACA ACAN ACAP3 ACCSL ACN9 ACOT7 ACOX2 ACP5 ACP6 ACPP ACSL1 ACSL3 ACSM5 ACVRL1 ADAM10 ADAM32 ADAM33 ADAMTS12 ADAMTS15 ADAMTS19 ADAMTS4 ADAT3 ADCK4 ADCK5 ADCY2 ADCY3 ADCY6 ADORA1 ADPGK ADPRHL1 ADTRP AFAP1 AFAP1L2 AFF3 AFG3L1P AGAP11 AGER AGTR1 AGXT AIF1L AIM2 AIRE AJUBA AK4 AKAP12 AKAP2 AKR1C2 AKR1E2 AKT2 ALAS1 ALDH1L1-AS1 ALDH3A1 ALDH3B1 ALDH8A1 ALDOB ALDOC ALOX12 ALPK3 ALS2CL ALX4 AMBRA1 AMPD2 AMPD3 ANGPT1 ANGPT2 ANGPTL5 ANGPTL6 ANK1 ANKMY2 ANKRD29 ANKRD37 ANKRD53 ANO3 ANO6 ANO7 ANP32C ANXA6 ANXA8L2 AP1G1 AP2A2 AP2M1 AP5B1 APBA2 APC APCDD1 APOBEC3B APOBEC3G APOC1 APOH APOL6 APOLD1 APOM AQP1 AQP10 AQP6 AQP9 ARAP1 ARHGAP24 ARHGAP42 ARHGEF19 ARHGEF25 ARHGEF3 ARHGEF37 ARHGEF7 ARL4C ARL6IP 5 ARL8B ARMC3 ARNTL2 ARPP21 ARRB1 ARSI ASAH2B ASB10 ASB2 ASCL2 ASIC4 ASPH ATF3 ATF7 ATL1 ATL3 ATP10A ATP1A1 ATP1A4 ATP2C1 ATP5A1 ATP5EP2 ATP5L2 ATP6V0CP3 ATP6V1C1 ATP6V1E2 ATXN7L1 ATXN7L2 AVPI1 AXIN2 B3GNT7 B3GNT8 B3GNTL1 BACH1 BAG3 Differential methylated genes in RA FLS BAIAP2L2 BANP BATF BATF2 BBS2 BCAS4 BCAT1 BCL7C BDKRB2 BEGAIN BEST1 BEST3 -
Transcriptomic Gene Signatures Associated with Persistent Airflow Limitation
Hekking et al Revised manuscript ERJ-02298-2016 Transcriptomic gene signatures associated with persistent airflow limitation in patients with severe asthma P.P. Hekking1, M.J. Loza2, S. Pavlidis3, B. De Meulder4, D. Lefaudeux4, F. Baribaud2, C. Auffray4, A.H. Wagener1, P. Brinkman1, R. Lutter1, A.T. Bansal5, A.R. Sousa6, S. Bates6, Y. Pandis3, L.J. Fleming3, D.E. Shaw7, S.J. Fowler8, Y. Guo3, A. Meiser3, K. Sun3, J. Corfield9, P. Howarth10, E.H. Bel1, I.M. Adcock11, K.F. Chung11, R. Djukanovic10, P.J. Sterk1, and the U-BIOPRED Study Group* 1: Respiratory Medicine, Academic Medical Centre, Amsterdam, the Netherlands; 2: Janssen research and development; Johnsen & Johnsen, Springhouse, US; 3: Data Science Institute, Imperial College, London, UK; 4: European Institute for Systems Biology and Medicine, CIRI UMR5308, CNRS-ENS- UCBL-INSERM, Université de Lyon, France; 5: Acclarogen Ltd, Cambridge, UK; 6: Discovery Medicine, GlaxoSmithKline, Brentford, UK; 7: Respiratory Research Unit, University of Nottingham, UK; 8: Centre for Respiratory Medicine and Allergy, Institute of Inflammation and Repair, University of Manchester and University Hospital of South Manchester, Manchester Academic Health Sciences Centre, UK; 9: Areteva, Nottingham, UK; 10: NIHR Southampton Centre for Biomedical Research, University of Southampton, UK; 11: National Heart & Lung institute - Imperial College, London, UK;*A list of the U-BIOPRED study group can be found in the online supplement Corresponding author: Pieter-Paul Hekking, Academic Medical Centre (AMC), Department of Respiratory Medicine, F5-260 1105 AZ, Amsterdam, the Netherlands Telephone: +31 (0) 20 566 1660 Fax: +31 (0) 20 566 9001 E-mail: [email protected] 1 Hekking et al Take home message Persistent airflow limitation in severe asthma is associated with a mechanism in which IL-13 and remodeling are involved.