DOCSLIB.ORG

Datasheet BA3212-2 Anti-SLC2A12 Antibody

Total Page：16

File Type：pdf, Size：1020Kb

Download full-text PDF Read full-text
Datasheet BA3212-2 Anti-SLC2A12 Antibody Product datasheet Anti-SLC2A12 Antibody Catalog Number: BA3212-2 BOSTER BIOLOGICAL TECHNOLOGY Special NO.1, International Enterprise Center, 2nd Guanshan Road, Wuhan, China Web: www.boster.com.cn Phone: +86 27 67845390 Fax: +86 27 67845390 Email: [email protected] Basic Information Product Name Anti-SLC2A12 Antibody Gene Name SLC2A12 Source Rabbit IgG Species Reactivity human,rat,mouse Tested Application WB Contents 500ug/ml antibody with PBS ，0.02% NaN3 , 1mg BSA and 50% glycerol. Immunogen A synthetic peptide corresponding to a sequence in the middle region of human GLUT12(256-272aa SLKDEYQYSFWDLFRSK), identical to the related mouse and rat sequences. Purification Immunogen affinity purified. Observed MW 67KD Dilution Ratios Western blot: 1:500-2000 Storage 12 months from date of receipt，-20℃ as supplied.6 months 2 to 8℃ after reconstitution. Avoid repeated freezing and thawing Background Information Solute carrier family 2, facilitated glucose transporter member 12, also known as SLC2A12, is a protein that in humans is encoded by the SLC2A12 gene. SLC2A12 belongs to a family of transporters that catalyze the uptake of sugars through facilitated diffusion. This family of transporters shows conservation of 12 transmembrane helices as well as functionally significant amino acid residues. By genomic sequence analysis, this gene is mapped to chromosome 6q23.2. SLC2A12 was detected in a perinuclear location in MCF7 cells in the absence of insulin; however, SLC2A12 redistributed to the plasma membrane of MCF7 cells grown continuously in the presence of insulin. This gene acts as facilitative glucose transporter. Reference Anti-SLC2A12 Antibody被引用在0文献中。 暂无引用 FOR RESEARCH USE ONLY. NOT FOR DIAGNOSTIC AND CLINICAL USE. 1 Product datasheet Anti-SLC2A12 Antibody Catalog Number: BA3212-2 BOSTER BIOLOGICAL TECHNOLOGY Special NO.1, International Enterprise Center, 2nd Guanshan Road, Wuhan, China Web: www.boster.com.cn Phone: +86 27 67845390 Fax: +86 27 67845390 Email: [email protected] Selected Validation Data Lane 1: PC-12 Cell LysateLane 2: A549 Cell Lysate FOR RESEARCH USE ONLY. NOT FOR DIAGNOSTIC AND CLINICAL USE. 2 Powered by TCPDF (www.tcpdf.org).
Load more

Recommended publications
  • 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.
    [Show full text]
  • 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,
    [Show full text]
  • Identification of GLUT12/SLC2A12 As a Urate Transporter That
    Identification of GLUT12/SLC2A12 as a urate BRIEF REPORT transporter that regulates the blood urate level in hyperuricemia model mice Yu Toyodaa,1, Tappei Takadaa,1,2, Hiroshi Miyataa,1, Hirotaka Matsuob, Hidetoshi Kassaic, Kazuki Nakaoc, Masahiro Nakatochid, Yusuke Kawamurab, Seiko Shimizub, Nariyoshi Shinomiyab, Kimiyoshi Ichidae, Makoto Hosoyamadaf, Atsu Aibac, and Hiroshi Suzukia aDepartment of Pharmacy, The University of Tokyo Hospital, Bunkyo-ku, 113-8655 Tokyo, Japan; bDepartment of Integrative Physiology and Bio-Nano Medicine, National Defense Medical College, Tokorozawa, 359-8513 Saitama, Japan; cLaboratory of Animal Resources, Center for Disease Biology and Integrative Medicine, Graduate School of Medicine, The University of Tokyo, Bunkyo-ku, 113-0033 Tokyo, Japan; dDivision of Public Health Informatics, Department of Integrative Health Science, Nagoya University Graduate School of Medicine, 461-8673 Nagoya, Japan; eDepartment of Pathophysiology, Tokyo University of Pharmacy and Life Sciences, Hachioji, 192-0392 Tokyo, Japan; and fDepartment of Human Physiology and Pathology, Faculty of Pharma-Sciences, Teikyo University, Itabashi-ku, 173-8605 Tokyo, Japan Edited by Francisco Bezanilla, The University of Chicago, Chicago, IL, and approved June 29, 2020 (received for review April 14, 2020) Recent genome-wide association studies have revealed some ge- affected the urate transport activity of GLUT12 (Fig. 1D); netic loci associated with serum uric acid levels and susceptibility GLUT12 is more active at lower pH (Fig. 1E). As GLUT12- to gout/hyperuricemia which contain potential candidates of mediated urate uptake increased linearly with time over physiologically important urate transporters. One of these novel 10 min (Fig. 1F), uptake at 5 min was evaluated in subsequent loci is located upstream of SGK1 and SLC2A12, suggesting that kinetic analysis.
    [Show full text]
  • 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.
    [Show full text]
  • Frontiersin.Org 1 April 2015 | Volume 9 | Article 123 Saunders Et Al
    ORIGINAL RESEARCH published: 28 April 2015 doi: 10.3389/fnins.2015.00123 Influx mechanisms in the embryonic and adult rat choroid plexus: a transcriptome study Norman R. Saunders 1*, Katarzyna M. Dziegielewska 1, Kjeld Møllgård 2, Mark D. Habgood 1, Matthew J. Wakefield 3, Helen Lindsay 4, Nathalie Stratzielle 5, Jean-Francois Ghersi-Egea 5 and Shane A. Liddelow 1, 6 1 Department of Pharmacology and Therapeutics, University of Melbourne, Parkville, VIC, Australia, 2 Department of Cellular and Molecular Medicine, University of Copenhagen, Copenhagen, Denmark, 3 Walter and Eliza Hall Institute of Medical Research, Parkville, VIC, Australia, 4 Institute of Molecular Life Sciences, University of Zurich, Zurich, Switzerland, 5 Lyon Neuroscience Research Center, INSERM U1028, Centre National de la Recherche Scientifique UMR5292, Université Lyon 1, Lyon, France, 6 Department of Neurobiology, Stanford University, Stanford, CA, USA The transcriptome of embryonic and adult rat lateral ventricular choroid plexus, using a combination of RNA-Sequencing and microarray data, was analyzed by functional groups of influx transporters, particularly solute carrier (SLC) transporters. RNA-Seq Edited by: Joana A. Palha, was performed at embryonic day (E) 15 and adult with additional data obtained at University of Minho, Portugal intermediate ages from microarray analysis. The largest represented functional group Reviewed by: in the embryo was amino acid transporters (twelve) with expression levels 2–98 times Fernanda Marques, University of Minho, Portugal greater than in the adult. In contrast, in the adult only six amino acid transporters Hanspeter Herzel, were up-regulated compared to the embryo and at more modest enrichment levels Humboldt University, Germany (<5-fold enrichment above E15).
    [Show full text]
  • PRODUCT SPECIFICATION Anti-SLC2A12 Product Datasheet
    Anti-SLC2A12 Product Datasheet Polyclonal Antibody PRODUCT SPECIFICATION Product Name Anti-SLC2A12 Product Number HPA031593 Gene Description solute carrier family 2 (facilitated glucose transporter), member 12 Clonality Polyclonal Isotype IgG Host Rabbit Antigen Sequence Recombinant Protein Epitope Signature Tag (PrEST) antigen sequence: PSPRFLVMKGQEGAASKVLGRLRALSDTTEELTVIKSSLKDEYQYSFWDL FRSKDNMRTR Purification Method Affinity purified using the PrEST antigen as affinity ligand Verified Species Human Reactivity Recommended IHC (Immunohistochemistry) Applications - Antibody dilution: 1:20 - 1:50 - Retrieval method: HIER pH6 Characterization Data Available at atlasantibodies.com/products/HPA031593 Buffer 40% glycerol and PBS (pH 7.2). 0.02% sodium azide is added as preservative. Concentration Lot dependent Storage Store at +4°C for short term storage. Long time storage is recommended at -20°C. Notes Gently mix before use. Optimal concentrations and conditions for each application should be determined by the user. For protocols, additional product information, such as images and references, see atlasantibodies.com. Product of Sweden. For research use only. Not intended for pharmaceutical development, diagnostic, therapeutic or any in vivo use. No products from Atlas Antibodies may be resold, modified for resale or used to manufacture commercial products without prior written approval from Atlas Antibodies AB. Warranty: The products supplied by Atlas Antibodies are warranted to meet stated product specifications and to conform to label descriptions when used and stored properly. Unless otherwise stated, this warranty is limited to one year from date of sales for products used, handled and stored according to Atlas Antibodies AB's instructions. Atlas Antibodies AB's sole liability is limited to replacement of the product or refund of the purchase price.
    [Show full text]
  • Glucose Transporters As a Target for Anticancer Therapy
    cancers Review Glucose Transporters as a Target for Anticancer Therapy Monika Pliszka and Leszek Szablewski * Chair and Department of General Biology and Parasitology, Medical University of Warsaw, 5 Chalubinskiego Str., 02-004 Warsaw, Poland; [email protected] * Correspondence: [email protected]; Tel.: +48-22-621-26-07 Simple Summary: For mammalian cells, glucose is a major source of energy. In the presence of oxygen, a complete breakdown of glucose generates 36 molecules of ATP from one molecule of glucose. Hypoxia is a hallmark of cancer; therefore, cancer cells prefer the process of glycolysis, which generates only two molecules of ATP from one molecule of glucose, and cancer cells need more molecules of glucose in comparison with normal cells. Increased uptake of glucose by cancer cells is due to increased expression of glucose transporters. However, overexpression of glucose transporters, promoting the process of carcinogenesis, and increasing aggressiveness and invasiveness of tumors, may have also a beneficial effect. For example, upregulation of glucose transporters is used in diagnostic techniques such as FDG-PET. Therapeutic inhibition of glucose transporters may be a method of treatment of cancer patients. On the other hand, upregulation of glucose transporters, which are used in radioiodine therapy, can help patients with cancers. Abstract: Tumor growth causes cancer cells to become hypoxic. A hypoxic condition is a hallmark of cancer. Metabolism of cancer cells differs from metabolism of normal cells. Cancer cells prefer the process of glycolysis as a source of ATP. Process of glycolysis generates only two molecules of ATP per one molecule of glucose, whereas the complete oxidative breakdown of one molecule of glucose yields 36 molecules of ATP.
    [Show full text]
  • Effects of SLC22A2 (Rs201919874) and SLC47A2 (Rs138244461)
    155 Effects of SLC22A2 (rs201919874) and SLC47A2 (rs138244461) genetic variants on Metformin Pharmacokinetics in Pakistani T2DM patients Sadaf Moeez,1 Zoya Khalid,2 Fazal Jalil,3 Muhammad Irfan,4 Muhammad Ismail,5 Mohammad Ali Arif,6 Rauf Niazi,7 Sumbul Khalid8 Abstract Objective: To determine the frequencies of single nucleotide polymorphisms rs201919874 and rs138244461 in genes SLC22A2 and SLC47A2 respectively in Pakistani diabetes patients in order to characterise the genetic variants and determine their association with the pharmacokinetics of metformin. Methods: The case-control study was conducted at the International Islamic University, Islamabad, Pakistan, from June 2016 to June 2017, and comprised genotypes of diabetic cases and matching controls which were determined following allele-specific polymerase chain reaction. Cases were further divided into Group A and Group B. The former consisted of diabetics who were on monotherapy of metformin, while the latter consisted of diabetics treated with a combination of metformin and sulfonylureas. In-silico analysis was performed to verify the effect of single nucleotide polymorphisms rs201919874 and rs138244461 on the structure of genes. Association was statistically determined using SPSS 18. Results: Of the 1200 subjects, 800(66.6%) were cases and 400(33.3%) were controls. Among the cases, 400(50%) each were in Group A and Group B. Significant difference was observed in the distribution of rs201919874 between Group A and controls (p<0.05) and between Group B and controls (p<0.05) for heterozygous genotypic frequency and for allelic frequency. Conversely, statistically significant difference was observed in rs138244461 (p<0.05) for all genotypic and allelic frequencies.
    [Show full text]
  • Supplementary Materials: Molecular Signature of Subtypes of Non- Small Cell Lung Cancer by Large-Scale Transcriptional Profiling
    Cancers 2020 S1 of S18 Supplementary Materials: Molecular Signature of Subtypes of Non- Small Cell Lung Cancer by Large-Scale Transcriptional Profiling: Identification of Key Modules and Genes by Weighted Gene Co- Expression Network Analysis (WGCNA) Magdalena Niemira, Francois Collin, Anna Szalkowska, Agnieszka Bielska, Karolina Chwialkowska, Joanna Reszec, Jacek Niklinski, Miroslaw Kwasniewski and Adam Kretowski Cancers 2020 S2 of S18 A B Figure S1. The top-ranked enriched canonical pathway identified in (A) SCC and (B) ADC using IPA: Eicosanoid signalling pathway. Cancers 2020 S3 of S18 A Cancers 2020 S4 of S18 Figure S2. The second-ranked enriched canonical pathway identified in (A) SCC and (B) ADC using IPA: Agranulocyte adhesion and diapedesis. Cancers 2020 S5 of S18 Figure S3. The top-ranked enriched canonical pathway identified only in lung ADC: MIF regulation of innate immunity. A B Figure S4. Cluster dendograms of the gene clusters of (A) LUAD and (B) LUSC subset from TCGA database. Cancers 2020 S6 of S18 A B C D Figure S5. Protein-protein interaction (PPI) network of genes in the red (A), lightcyan (B), darkorange (C), yellow (D) modules in ADC. The networks were constructed using Cytoscape v. 3.7.2. software. Cancers 2020 S7 of S18 A B Figure S6. Protein-protein interaction (PPI) network of genes in the blue (A) and (B) modules in SCC. The networks were constructed using Cytoscape v. 3.7.2. software. Cancers 2020 S8 of S18 Table S1. Upstream regulator analysis of DEGs in lung SCC predicted by IPA. Upstream Prediction Target
    [Show full text]
  • RNA-Seq Reveals Conservation of Function Among the Yolk Sacs Of
    RNA-seq reveals conservation of function among the PNAS PLUS yolk sacs of human, mouse, and chicken Tereza Cindrova-Daviesa, Eric Jauniauxb, Michael G. Elliota,c, Sungsam Gongd,e, Graham J. Burtona,1, and D. Stephen Charnock-Jonesa,d,e,1,2 aCentre for Trophoblast Research, Department of Physiology, Development and Neuroscience, University of Cambridge, Cambridge, CB2 3EG, United Kingdom; bElizabeth Garret Anderson Institute for Women’s Health, Faculty of Population Health Sciences, University College London, London, WC1E 6BT, United Kingdom; cSt. John’s College, University of Cambridge, Cambridge, CB2 1TP, United Kingdom; dDepartment of Obstetrics and Gynaecology, University of Cambridge, Cambridge, CB2 0SW, United Kingdom; and eNational Institute for Health Research, Cambridge Comprehensive Biomedical Research Centre, Cambridge, CB2 0QQ, United Kingdom Edited by R. Michael Roberts, University of Missouri-Columbia, Columbia, MO, and approved May 5, 2017 (received for review February 14, 2017) The yolk sac is phylogenetically the oldest of the extraembryonic yolk sac plays a critical role during organogenesis (3–5, 8–10), membranes. The human embryo retains a yolk sac, which goes there are limited data to support this claim. Obtaining experi- through primary and secondary phases of development, but its mental data for the human is impossible for ethical reasons, and importance is controversial. Although it is known to synthesize thus we adopted an alternative strategy. Here, we report RNA proteins, its transport functions are widely considered vestigial. sequencing (RNA-seq) data derived from human and murine yolk Here, we report RNA-sequencing (RNA-seq) data for the human sacs and compare them with published data from the yolk sac of and murine yolk sacs and compare those data with data for the the chicken.
    [Show full text]
  • Autocrine IFN Signaling Inducing Profibrotic Fibroblast Responses By
    Downloaded from http://www.jimmunol.org/ by guest on September 23, 2021 Inducing is online at: average * The Journal of Immunology , 11 of which you can access for free at: 2013; 191:2956-2966; Prepublished online 16 from submission to initial decision 4 weeks from acceptance to publication August 2013; doi: 10.4049/jimmunol.1300376 http://www.jimmunol.org/content/191/6/2956 A Synthetic TLR3 Ligand Mitigates Profibrotic Fibroblast Responses by Autocrine IFN Signaling Feng Fang, Kohtaro Ooka, Xiaoyong Sun, Ruchi Shah, Swati Bhattacharyya, Jun Wei and John Varga J Immunol cites 49 articles Submit online. Every submission reviewed by practicing scientists ? is published twice each month by Receive free email-alerts when new articles cite this article. Sign up at: http://jimmunol.org/alerts http://jimmunol.org/subscription Submit copyright permission requests at: http://www.aai.org/About/Publications/JI/copyright.html http://www.jimmunol.org/content/suppl/2013/08/20/jimmunol.130037 6.DC1 This article http://www.jimmunol.org/content/191/6/2956.full#ref-list-1 Information about subscribing to The JI No Triage! Fast Publication! Rapid Reviews! 30 days* Why • • • Material References Permissions Email Alerts Subscription Supplementary The Journal of Immunology 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. This information is current as of September 23, 2021. The Journal of Immunology A Synthetic TLR3 Ligand Mitigates Profibrotic Fibroblast Responses by Inducing Autocrine IFN Signaling Feng Fang,* Kohtaro Ooka,* Xiaoyong Sun,† Ruchi Shah,* Swati Bhattacharyya,* Jun Wei,* and John Varga* Activation of TLR3 by exogenous microbial ligands or endogenous injury-associated ligands leads to production of type I IFN.
    [Show full text]
  • Transporters
    University of Dundee The Concise Guide to PHARMACOLOGY 2015/16 Alexander, Stephen P. H.; Kelly, Eamonn; Marrion, Neil; Peters, John A.; Benson, Helen E.; Faccenda, Elena Published in: British Journal of Pharmacology DOI: 10.1111/bph.13355 Publication date: 2015 Licence: CC BY Document Version Publisher's PDF, also known as Version of record Link to publication in Discovery Research Portal Citation for published version (APA): Alexander, S. P. H., Kelly, E., Marrion, N., Peters, J. A., Benson, H. E., Faccenda, E., Pawson, A. J., Sharman, J. L., Southan, C., Davies, J. A., & CGTP Collaborators (2015). The Concise Guide to PHARMACOLOGY 2015/16: Transporters. British Journal of Pharmacology, 172(24), 6110-6202. https://doi.org/10.1111/bph.13355 General rights Copyright and moral rights for the publications made accessible in Discovery Research Portal are retained by the authors and/or other copyright owners and it is a condition of accessing publications that users recognise and abide by the legal requirements associated with these rights. • Users may download and print one copy of any publication from Discovery Research Portal for the purpose of private study or research. • You may not further distribute the material or use it for any profit-making activity or commercial gain. • You may freely distribute the URL identifying the publication in the public portal. Take down policy If you believe that this document breaches copyright please contact us providing details, and we will remove access to the work immediately and investigate your claim. Download date: 06. Oct. 2021 S.P.H. Alexander et al. The Concise Guide to PHARMACOLOGY 2015/16: Transporters.
    [Show full text]