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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. -
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 The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity.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. -
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. -
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 -
Photoreceptor Cko of OTX2 Enhances OTX2 Intercellular Transfer in the Retina and Causes Photophobia
Research Article: New Research | Sensory and Motor Systems Photoreceptor cKO of OTX2 enhances OTX2 intercellular transfer in the retina and causes photophobia https://doi.org/10.1523/ENEURO.0229-21.2021 Cite as: eNeuro 2021; 10.1523/ENEURO.0229-21.2021 Received: 20 May 2021 Revised: 26 July 2021 Accepted: 3 August 2021 This Early Release article has been peer-reviewed and accepted, but has not been through the composition and copyediting processes. The final version may differ slightly in style or formatting and will contain links to any extended data. Alerts: Sign up at www.eneuro.org/alerts to receive customized email alerts when the fully formatted version of this article is published. Copyright © 2021 Pensieri et al. This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International license, which permits unrestricted use, distribution and reproduction in any medium provided that the original work is properly attributed. 1 1. Manuscript Title 2 Photoreceptor cKO of OTX2 enhances OTX2 intercellular transfer in the retina and causes 3 photophobia 4 2. Abbreviated Title 5 OTX2 cKO in adult photoreceptors 6 3. Author Names and Affiliations 7 Pasquale Pensieri 1,*, Annabelle Mantilleri 1,*, Damien Plassard 2, Takahisa Furukawa 3, Kenneth L. 8 Moya 4, Alain Prochiantz 4 and Thomas Lamonerie 1,# 9 1 Université Côte d’Azur, CNRS, Inserm, iBV, Nice, France. 10 2 Plateforme GenomEast, IGBMC, Illkirch, France 11 3 Laboratory for Molecular and Developmental Biology, Institute for Protein Research 12 Osaka University, Osaka, Japan 13 4 Centre for Interdisciplinary Research in Biology (CIRB), Collège de France, CNRS, UMR 7241, 14 INSERM U1050, Paris, France 15 * Equal contribution 16 4. -
RNA-Seq Reveals Altered Gene Expression Levels in Proximal
www.nature.com/scientificreports OPEN RNA‑seq reveals altered gene expression levels in proximal tubular cell cultures compared to renal cortex but not during early glucotoxicity Linnéa M. Nilsson1, Miguel Castresana‑Aguirre 2, Lena Scott3 & Hjalmar Brismar 1,3* Cell cultures are often used to study physiological processes in health and disease. It is well‑known that cells change their gene expression in vitro compared to in vivo, but it is rarely experimentally addressed. High glucose is a known trigger of apoptosis in proximal tubular cells (PTC). Here we used RNA-seq to detect diferentially expressed genes in cultures of primary rat PTC, 3 days old, compared to cells retrieved directly from rat outer renal cortex and between PTC exposed to 15 mM glucose and control for 8 h. The expression of 6,174 genes was signifcantly up- or downregulated in the cultures of PTC compared to the cells in the outer renal cortex. Most altered were mitochondrial and metabolism related genes. Gene expression of proapoptotic proteins were upregulated and gene expression of antiapoptotic proteins were downregulated in PTC. Expression of transporter related genes were generally downregulated. After 8 h, high glucose had not altered the gene expression in PTC. The current study provides evidence that cells alter their gene expression in vitro compared to in vivo and suggests that short‑term high glucose exposure can trigger apoptosis in PTC without changing the gene expression levels of apoptotic proteins. Cell cultures, both primary and immortalized, are ofen used as models in biological research to investigate physi- ological processes in health and disease. -
Phylogenetic, Syntenic, and Tissue Expression Analysis of Slc22 Genes in Zebrafish (Danio Rerio)
Mihaljevic et al. BMC Genomics (2016) 17:626 DOI 10.1186/s12864-016-2981-y RESEARCH ARTICLE Open Access Phylogenetic, syntenic, and tissue expression analysis of slc22 genes in zebrafish (Danio rerio) Ivan Mihaljevic1†, Marta Popovic1,2†, Roko Zaja1,3 and Tvrtko Smital1* Abstract Background: SLC22 protein family is a member of the SLC (Solute carriers) superfamily of polyspecific membrane transporters responsible for uptake of a wide range of organic anions and cations, including numerous endo- and xenobiotics. Due to the lack of knowledge on zebrafish Slc22 family, we performed initial characterization of these transporters using a detailed phylogenetic and conserved synteny analysis followed by the tissue specific expression profiling of slc22 transcripts. Results: We identified 20 zebrafish slc22 genes which are organized in the same functional subgroups as human SLC22 members. Orthologies and syntenic relations between zebrafish and other vertebrates revealed consequences of the teleost-specific whole genome duplication as shown through one-to-many orthologies for certain zebrafish slc22 genes. Tissue expression profiles of slc22 transcripts were analyzed using qRT-PCR determinations in nine zebrafish tissues: liver, kidney, intestine, gills, brain, skeletal muscle, eye, heart, and gonads. Our analysis revealed high expression of oct1 in kidney, especially in females, followed by oat3 and oat2c in females, oat2e in males and orctl4 in females. oct1 was also dominant in male liver. oat2d showed the highest expression in intestine with less noticeable gender differences. All slc22 genes showed low expression in gills, and moderate expression in heart and skeletal muscle. Dominant genes in brain were oat1 in females and oct1 in males, while the highest gender differences were determined in gonads, with dominant expression of almost all slc22 genes in testes and the highest expression of oat2a. -
SLC22A6 (OAT1) and SLC22A8 (OAT3)
J Hum Genet (2006) 51:575–580 DOI 10.1007/s10038-006-0398-1 SHORT COMMUNICATION Vibha Bhatnagar Æ Gang Xu Æ Bruce A. Hamilton David M. Truong Æ Satish A. Eraly Æ Wei Wu Sanjay K. Nigam Analyses of 5¢ regulatory region polymorphisms in human SLC22A6 (OAT1) and SLC22A8 (OAT3) Received: 6 January 2006 / Accepted: 23 February 2006 / Published online: 29 April 2006 Ó The Japan Society of Human Genetics and Springer-Verlag 2006 Abstract Kidney excretion of numerous organic anionic Keywords SLC22A6, OAT1, NKT Æ SLC22A8, OAT3, drugs and endogenous metabolites is carried out by a ROCT Æ Organic anion transporters Æ Promoters Æ family of multispecific organic anion transporters Single nucleotide polymorphisms (OATs). Two closely related transporters, SLC22A6, initially identified by us as NKT and also known as OAT1, and SLC22A8, also known as OAT3 and ROCT, are thought to mediate the initial steps in the transport of Introduction organic anionic drugs between the blood and proximal tubule cells of the kidney. Coding region polymorphisms The organic anion transporters (OATs) constitute a in these genes are infrequent and pairing of these genes in subfamily within the SLC22 family of solute carriers the genome suggests they may be coordinately regulated. (Eraly et al. 2003). Two members of this subfamily, Hence, 5¢ regulatory regions of these genes may be SLC22A6 (also known as OAT1), originally identified as important factors in human variation in organic anionic novel kidney transporter (NKT; Lopez-Nieto et al. 1996, drug handling. We have analyzed novel single nucleotide 1997)andSLC22A8 (also known as OAT3), originally polymorphisms in the evolutionarily conserved 5¢ regu- identified as reduced in osterosclerosis (ROCT) (Brady latory regions of the SLC22A6 and SLC22A8 genes et al. -
Organic Anion Transporter 2 (OAT2): an Enigmatic Human Solute Carrier
DMD Fast Forward. Published on November 21, 2016 as DOI: 10.1124/dmd.116.072264 This article has not been copyedited and formatted. The final version may differ from this version. DMD #072264 Organic Anion Transporter 2 (OAT2): An Enigmatic Human Solute Carrier Hong Shen, Yurong Lai, and A. David Rodrigues Department of Metabolism and Pharmacokinetics (H.S and Y.L), Bristol-Myers Squibb Downloaded from Research and Development, Princeton, New Jersey, and Department of Pharmacokinetics, Dynamics, and Metabolism (A.D. R), Pfizer World Wide Research dmd.aspetjournals.org and Development, Groton, Connecticut, United States at ASPET Journals on September 24, 2021 1 DMD Fast Forward. Published on November 21, 2016 as DOI: 10.1124/dmd.116.072264 This article has not been copyedited and formatted. The final version may differ from this version. DMD #072264 Running title: OAT2 as a membrane transporter of emerging importance Address correspondence to: Dr. Hong Shen, Department of Metabolism and Pharmacokinetics, Bristol-Myers Squibb Company, Route 206 & Province Line Road, Princeton, NJ 08543. Telephone: (609) 252-4509 E-mail: [email protected] Downloaded from Number of text pages: 28 dmd.aspetjournals.org Number of tables: 2 Number of figures: 3 Number of references: 91 at ASPET Journals on September 24, 2021 Number of words: Abstract: 192 Introduction: 561 Abbreviations: CMD, cimetidine; cGMP, guanosine 3,5-cyclic monophosphate; Cmax, total maximum plasma concentration; Cmax,u, unbound maximum plasma concentration; DHEA, dehydroepiandrosterone; E3S, estrone-3sulfate; GFR, glomerular filtration rate; IC50, inhibitor concentration causing 50% inhibition; IMC, indomethacin; Ki, inhibition constant; LC-MS/MS, liquid chromatography–tandem mass spectrometry; MATE, multidrug and toxin extrusion protein; MPP+, 1-methyl-4-phenylpyridinium; MRP, multi 2 DMD Fast Forward. -
The Concise Guide to PHARMACOLOGY 2015/16: Transporters
S.P.H. Alexander et al. The Concise Guide to PHARMACOLOGY 2015/16: Transporters. British Journal of Pharmacology (2015) 172, 6110–6202 THE CONCISE GUIDE TO PHARMACOLOGY 2015/16: Transporters Stephen PH Alexander1, Eamonn Kelly2, Neil Marrion2, John A Peters3, Helen E Benson4, Elena Faccenda4, Adam J Pawson4, Joanna L Sharman4, Christopher Southan4, Jamie A Davies4 and CGTP Collaborators L 1 School of Biomedical Sciences, University of Nottingham Medical School, Nottingham, NG7 2UH, UK 2 School of Physiology and Pharmacology, University of Bristol, Bristol, BS8 1TD, UK 3 Neuroscience Division, Medical Education Institute, Ninewells Hospital and Medical School, University of Dundee, Dundee, DD1 9SY, UK N 4 Centre for Integrative Physiology, University of Edinburgh, Edinburgh, EH8 9XD, UK Abstract The Concise Guide to PHARMACOLOGY 2015/16 provides concise overviews of the key properties of over 1750 human drug targets with their pharmacology, plus links to an open access knowledgebase of drug targets and their ligands (www.guidetopharmacology.org), which provides more detailed views of target and ligand properties. The full contents can be found at http://onlinelibrary.wiley.com/doi/ 10.1111/bph.13355/full. G protein-coupled receptors are one of the eight major pharmacological targets into which the Guide is divided, with the others being: G protein-coupled receptors, ligand-gated ion channels, voltage-gated ion channels, other ion channels, nuclear hormone receptors, catalytic receptors and transporters. These are presented with nomenclature guidance and summary information on the best available pharmacological tools, alongside key references and suggestions for further reading. The Concise Guide is published in landscape format in order to facilitate comparison of related targets. -
Electronic Supplementary Material (ESI) for Molecular Omics
Electronic Supplementary Material (ESI) for Molecular Omics. This journal is © The Royal Society of Chemistry 2020 SUPPLEMENTARY INFORMATION Supplementary Table S2. GO analysis for the 289 overlapping genes based on DAVID database. ID Category Term Genes PValue HSD3B2, CYP24A1, ME3, SORD, ADHFE1, CYP2C44, PAH, HIBADH, MTHFD1, ALDH1A1, PECR, CYP4A12A, FMO1, MIOX, CYP2J11, HAAO, BC089597, ALDH4A1, BDH2, DAO, NQO1, BDH1, SARDH, HPD, 1 BP GO:0055114~oxidation reduction 1.18E-17 NOX4, GCDH, SUOX, AKR1E1, QDPR, CMAH, HGD, FADS2, AKR1C21, PPARGC1A, TET1, DDO, NNT, HAO2, CYP2D26, HSD11B2, DIO1, RDH16, CYP4A14, STEAP1, DCXR, PRODH SLC12A6, SLC2A13, SLC5A2, SLC12A1, SLC5A1, SLC22A7, SLC22A8, RHBG, SLC7A9, AQP6, SLC26A4, GO:0055085~transmembrane 2 BP SLC23A1, SLC16A7, SLC2A4, RHCG, SLC7A1, 1.28E-07 transport SLC25A10, SLC2A2, SLC16A9, SLC5A9, SLC13A2, SLC25A37, SLC13A3, SLC46A1, SLC5A12 PDK2, SLC37A4, PDK4, CMAH, PGAM2, ADIPOQ, GO:0005996~monosaccharide 3 BP HIBADH, PCK1, GALM, G6PC, PPP1R1A, GYS2, MYC, 1.25E-06 metabolic process DCXR, XYLB SLC12A6, SLC5A2, SLC23A1, SLC12A1, SLC5A1, 4 BP GO:0006814~sodium ion transport SLC9A3, SLC5A9, SLC13A2, SLC13A3, SLC10A2, 3.05E-06 SLC4A4, SLC5A12 SLC5A2, G6PC, SLC2A4, SLC2A2, SLC5A1, SLC37A4, 5 BP GO:0015758~glucose transport 3.22E-06 STXBP4 SLC5A2, G6PC, SLC2A4, SLC2A2, SLC5A1, SLC37A4, 6 BP GO:0008645~hexose transport 4.95E-06 STXBP4 GO:0015749~monosaccharide SLC5A2, G6PC, SLC2A4, SLC2A2, SLC5A1, SLC37A4, 7 BP 6.06E-06 transport STXBP4 GO:0006006~glucose metabolic PDK2, G6PC, PPP1R1A, PDK4, SLC37A4, GYS2,