The Abcs of Membrane Transporters in Health and Disease (SLC Series): Introduction Q ⇑ Matthias A
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Screening and Identification of Key Biomarkers in Clear Cell Renal Cell Carcinoma Based on Bioinformatics Analysis
bioRxiv preprint doi: https://doi.org/10.1101/2020.12.21.423889; this version posted December 23, 2020. The copyright holder for this preprint (which was not certified by peer review) is the author/funder.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. Screening and identification of key biomarkers in clear cell renal cell carcinoma based on bioinformatics analysis Basavaraj Vastrad1, Chanabasayya Vastrad*2 , Iranna Kotturshetti 1. Department of Biochemistry, Basaveshwar College of Pharmacy, Gadag, Karnataka 582103, India. 2. Biostatistics and Bioinformatics, Chanabasava Nilaya, Bharthinagar, Dharwad 580001, Karanataka, India. 3. Department of Ayurveda, Rajiv Gandhi Education Society`s Ayurvedic Medical College, Ron, Karnataka 562209, India. * Chanabasayya Vastrad [email protected] Ph: +919480073398 Chanabasava Nilaya, Bharthinagar, Dharwad 580001 , Karanataka, India bioRxiv preprint doi: https://doi.org/10.1101/2020.12.21.423889; this version posted December 23, 2020. The copyright holder for this preprint (which was not certified by peer review) is the author/funder.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 Clear cell renal cell carcinoma (ccRCC) is one of the most common types of malignancy of the urinary system. The pathogenesis and effective diagnosis of ccRCC have become popular topics for research in the previous decade. In the current study, an integrated bioinformatics analysis was performed to identify core genes associated in ccRCC. An expression dataset (GSE105261) was downloaded from the Gene Expression Omnibus database, and included 26 ccRCC and 9 normal kideny samples. Assessment of the microarray dataset led to the recognition of differentially expressed genes (DEGs), which was subsequently used for pathway and gene ontology (GO) enrichment analysis. -
Anti-FOLR2 Purified Cat
EXBIO Praha, a.s. • Nad Safinou II 341 • 252 50 Vestec • Czech Republic [email protected] • [email protected] • [email protected] • www.exbio.cz Technical Data Sheet Product Anti-FOLR2 Purified Cat. Number/Size 11-696-C025 0.025 mg 11-696-C100 0.1 mg For Research Use Only. Not for use in diagnostic or therapeutic procedures. Antigen FOLR2 Clone EM-35 Format Purified Reactivity Human Negative species Mouse Application FC (QC tested), IP, WB, ICC Application details Western blotting: Non-reducing conditions. Flow cytometry: Recommended dilution: 1-4 µg/ml Isotype Mouse IgG1 Specificity The mouse monoclonal antibody EM-35 recognizes an extracellular epitope on FOLR2, a 30-40 kDa cell surface protein serving as a receptor for folic acid. Other names Folate receptor beta, FBP, FR-P3, FR-BETA, BETA-HFR, FBP/PL-1 Immunogen BW5147alpha,beta- cells Entrez Gene ID 2350 Gene name FOLR2 NCBI Full Gene Name folate receptor beta UniProt ID P14207 Concentration 1 mg/ml Preparation Purified by protein-A affinity chromatography Formulation Phosphate buffered saline (PBS) solution with 15 mM sodium azide Storage and handling Store at 2-8°C. Do not freeze. Do not use after expiration date stamped on the label. Images and References www.exbio.cz The product is intended For Research Use Only. Diagnostic or therapeutic applications are strictly forbidden. Products shall not be used for resale or transfer to third parties either as a stand-alone product or as a manufacture component of another product without written consent of EXBIO Praha, a.s. EXBIO Praha, a.s. -
Small Cell Ovarian Carcinoma: Genomic Stability and Responsiveness to Therapeutics
Gamwell et al. Orphanet Journal of Rare Diseases 2013, 8:33 http://www.ojrd.com/content/8/1/33 RESEARCH Open Access Small cell ovarian carcinoma: genomic stability and responsiveness to therapeutics Lisa F Gamwell1,2, Karen Gambaro3, Maria Merziotis2, Colleen Crane2, Suzanna L Arcand4, Valerie Bourada1,2, Christopher Davis2, Jeremy A Squire6, David G Huntsman7,8, Patricia N Tonin3,4,5 and Barbara C Vanderhyden1,2* Abstract Background: The biology of small cell ovarian carcinoma of the hypercalcemic type (SCCOHT), which is a rare and aggressive form of ovarian cancer, is poorly understood. Tumourigenicity, in vitro growth characteristics, genetic and genomic anomalies, and sensitivity to standard and novel chemotherapeutic treatments were investigated in the unique SCCOHT cell line, BIN-67, to provide further insight in the biology of this rare type of ovarian cancer. Method: The tumourigenic potential of BIN-67 cells was determined and the tumours formed in a xenograft model was compared to human SCCOHT. DNA sequencing, spectral karyotyping and high density SNP array analysis was performed. The sensitivity of the BIN-67 cells to standard chemotherapeutic agents and to vesicular stomatitis virus (VSV) and the JX-594 vaccinia virus was tested. Results: BIN-67 cells were capable of forming spheroids in hanging drop cultures. When xenografted into immunodeficient mice, BIN-67 cells developed into tumours that reflected the hypercalcemia and histology of human SCCOHT, notably intense expression of WT-1 and vimentin, and lack of expression of inhibin. Somatic mutations in TP53 and the most common activating mutations in KRAS and BRAF were not found in BIN-67 cells by DNA sequencing. -
Iron Transport Proteins: Gateways of Cellular and Systemic Iron Homeostasis
Iron transport proteins: Gateways of cellular and systemic iron homeostasis Mitchell D. Knutson, PhD University of Florida Essential Vocabulary Fe Heme Membrane Transport DMT1 FLVCR Ferroportin HRG1 Mitoferrin Nramp1 ZIP14 Serum Transport Transferrin Transferrin receptor 1 Cytosolic Transport PCBP1, PCBP2 Timeline of identification in mammalian iron transport Year Protein Original Publications 1947 Transferrin Laurell and Ingelman, Acta Chem Scand 1959 Transferrin receptor 1 Jandl et al., J Clin Invest 1997 DMT1 Gunshin et al., Nature; Fleming et al. Nature Genet. 1999 Nramp1 Barton et al., J Leukocyt Biol 2000 Ferroportin Donovan et al., Nature; McKie et al., Cell; Abboud et al. J. Biol Chem 2004 FLVCR Quigley et al., Cell 2006 Mitoferrin Shaw et al., Nature 2006 ZIP14 Liuzzi et al., Proc Natl Acad Sci USA 2008 PCBP1, PCBP2 Shi et al., Science 2013 HRG1 White et al., Cell Metab DMT1 (SLC11A2) • Divalent metal-ion transporter-1 • Former names: Nramp2, DCT1 Fleming et al. Nat Genet, 1997; Gunshin et al., Nature 1997 • Mediates uptake of Fe2+, Mn2+, Cd2+ • H+ coupled transporter (cotransporter, symporter) • Main roles: • intestinal iron absorption Illing et al. JBC, 2012 • iron assimilation by erythroid cells DMT1 (SLC11A2) Yanatori et al. BMC Cell Biology 2010 • 4 different isoforms: 557 – 590 a.a. (hDMT1) Hubert & Hentze, PNAS, 2002 • Function similarly in iron transport • Differ in tissue/subcellular distribution and regulation • Regulated by iron: transcriptionally (via HIF2α) post-transcriptionally (via IRE) IRE = Iron-Responsive Element Enterocyte Lumen DMT1 Fe2+ Fe2+ Portal blood Enterocyte Lumen DMT1 Fe2+ Fe2+ Fe2+ Fe2+ Ferroportin Portal blood Ferroportin (SLC40A1) • Only known mammalian iron exporter Donovan et al., Nature 2000; McKie et al., Cell 2000; Abboud et al. -
Bioinformatic Analyses of Integral Membrane Transport Proteins Encoded Within the Genome of the Planctomycetes Species, Rhodopirellula Baltica
UC San Diego UC San Diego Previously Published Works Title Bioinformatic analyses of integral membrane transport proteins encoded within the genome of the planctomycetes species, Rhodopirellula baltica. Permalink https://escholarship.org/uc/item/0f85q1z7 Journal Biochimica et biophysica acta, 1838(1 Pt B) ISSN 0006-3002 Authors Paparoditis, Philipp Västermark, Ake Le, Andrew J et al. Publication Date 2014 DOI 10.1016/j.bbamem.2013.08.007 Peer reviewed eScholarship.org Powered by the California Digital Library University of California Biochimica et Biophysica Acta 1838 (2014) 193–215 Contents lists available at ScienceDirect Biochimica et Biophysica Acta journal homepage: www.elsevier.com/locate/bbamem Bioinformatic analyses of integral membrane transport proteins encoded within the genome of the planctomycetes species, Rhodopirellula baltica Philipp Paparoditis a, Åke Västermark a,AndrewJ.Lea, John A. Fuerst b, Milton H. Saier Jr. a,⁎ a Department of Molecular Biology, Division of Biological Sciences, University of California at San Diego, La Jolla, CA, 92093–0116, USA b School of Chemistry and Molecular Biosciences, University of Queensland, Brisbane, Queensland, 9072, Australia article info abstract Article history: Rhodopirellula baltica (R. baltica) is a Planctomycete, known to have intracellular membranes. Because of its un- Received 12 April 2013 usual cell structure and ecological significance, we have conducted comprehensive analyses of its transmembrane Received in revised form 8 August 2013 transport proteins. The complete proteome of R. baltica was screened against the Transporter Classification Data- Accepted 9 August 2013 base (TCDB) to identify recognizable integral membrane transport proteins. 342 proteins were identified with a Available online 19 August 2013 high degree of confidence, and these fell into several different classes. -
Anti-FOLR2 Antibody (ARG41860)
Product datasheet [email protected] ARG41860 Package: 100 μl anti-FOLR2 antibody Store at: -20°C Summary Product Description Mouse Monoclonal antibody recognizes FOLR2 Tested Reactivity Hu Tested Application WB Host Mouse Clonality Monoclonal Clone 1905CT501.41.76 Isotype IgG2b, kappa Target Name FOLR2 Antigen Species Human Immunogen Recombiant protein of Human FOLR2. Conjugation Un-conjugated Alternate Names Folate receptor 2; BETA-HFR; FBP; Folate receptor beta; Folate receptor, fetal/placental; FBP/PL-1; FR- beta; FR-P3; Placental folate-binding protein; FR-BETA Application Instructions Application table Application Dilution WB 1:1000 - 1:2000 Application Note * The dilutions indicate recommended starting dilutions and the optimal dilutions or concentrations should be determined by the scientist. Positive Control Human placenta Calculated Mw 29 kDa Observed Size ~ 33 kDa Properties Form Liquid Purification Purification with Protein G. Buffer PBS and 0.09% (W/V) Sodium azide. Preservative 0.09% (W/V) Sodium azide Storage instruction For continuous use, store undiluted antibody at 2-8°C for up to a week. For long-term storage, aliquot and store at -20°C or below. Storage in frost free freezers is not recommended. Avoid repeated freeze/thaw cycles. Suggest spin the vial prior to opening. The antibody solution should be gently mixed before use. www.arigobio.com 1/2 Note For laboratory research only, not for drug, diagnostic or other use. Bioinformation Gene Symbol FOLR2 Gene Full Name folate receptor 2 (fetal) Background The protein encoded by this gene is a member of the folate receptor (FOLR) family, and these genes exist in a cluster on chromosome 11. -
Upregulation of Peroxisome Proliferator-Activated Receptor-Α And
Upregulation of peroxisome proliferator-activated receptor-α and the lipid metabolism pathway promotes carcinogenesis of ampullary cancer Chih-Yang Wang, Ying-Jui Chao, Yi-Ling Chen, Tzu-Wen Wang, Nam Nhut Phan, Hui-Ping Hsu, Yan-Shen Shan, Ming-Derg Lai 1 Supplementary Table 1. Demographics and clinical outcomes of five patients with ampullary cancer Time of Tumor Time to Age Differentia survival/ Sex Staging size Morphology Recurrence recurrence Condition (years) tion expired (cm) (months) (months) T2N0, 51 F 211 Polypoid Unknown No -- Survived 193 stage Ib T2N0, 2.41.5 58 F Mixed Good Yes 14 Expired 17 stage Ib 0.6 T3N0, 4.53.5 68 M Polypoid Good No -- Survived 162 stage IIA 1.2 T3N0, 66 M 110.8 Ulcerative Good Yes 64 Expired 227 stage IIA T3N0, 60 M 21.81 Mixed Moderate Yes 5.6 Expired 16.7 stage IIA 2 Supplementary Table 2. Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis of an ampullary cancer microarray using the Database for Annotation, Visualization and Integrated Discovery (DAVID). This table contains only pathways with p values that ranged 0.0001~0.05. KEGG Pathway p value Genes Pentose and 1.50E-04 UGT1A6, CRYL1, UGT1A8, AKR1B1, UGT2B11, UGT2A3, glucuronate UGT2B10, UGT2B7, XYLB interconversions Drug metabolism 1.63E-04 CYP3A4, XDH, UGT1A6, CYP3A5, CES2, CYP3A7, UGT1A8, NAT2, UGT2B11, DPYD, UGT2A3, UGT2B10, UGT2B7 Maturity-onset 2.43E-04 HNF1A, HNF4A, SLC2A2, PKLR, NEUROD1, HNF4G, diabetes of the PDX1, NR5A2, NKX2-2 young Starch and sucrose 6.03E-04 GBA3, UGT1A6, G6PC, UGT1A8, ENPP3, MGAM, SI, metabolism -
Identification of a Novel Nucleobase-Ascorbate Transporter
bioRxiv preprint doi: https://doi.org/10.1101/287870; this version posted December 7, 2018. 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 4.0 International license. 1 Identification of a novel Nucleobase-Ascorbate 2 Transporter family member in fish and amphibians 3 Diogo Oliveira*,1, André M. Machado*,1, Tiago Cardoso1, Mónica Lopes-Marques1, L. Filipe 4 C. Castro1,2● and Raquel Ruivo1● 5 1CIIMAR – Interdisciplinary Centre of Marine and Environmental Research, U. Porto – University 6 of Porto, Porto, Portugal 7 2Department of Biology, Faculty of Sciences, U. Porto - University of Porto, Portugal 8 *Equal contribution 9 ●Corresponding authors at: CIIMAR, Terminal de Cruzeiros do Porto de Leixões, Av. General 10 Norton de Matos s/n, 4450-208 Matosinhos, Portugal. Tel.: +351 223 401 831 11 12 Running title: Novel uric acid transporter in fish and amphibians 13 14 15 bioRxiv preprint doi: https://doi.org/10.1101/287870; this version posted December 7, 2018. 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 4.0 International license. 16 Abstract:Nucleobase-Ascorbate Transporter (NAT) family includes ascorbic acid, nucleobases 17 and uric acid transporters: with a broad evolutionary distribution. In vertebrates, four members 18 have been previously recognized, the ascorbate transporters Slc23a1 and Slc3a2, the nucleobase 19 transporter Slc23a4 and an orphan transporter Slc23a3. -
Primary and Secondary Thyroid Hormone Transporters Anita Kinne, Ralf Schülein, Gerd Krause*
Kinne et al. Thyroid Research 2011, 4(Suppl 1):S7 http://www.thyroidresearchjournal.com/content/4/S1/S7 REVIEW Open Access Primary and secondary thyroid hormone transporters Anita Kinne, Ralf Schülein, Gerd Krause* Abstract Thyroid hormones (TH) are essential for the development of the human brain, growth and cellular metabolism. Investigation of TH transporters became one of the emerging fields in thyroid research after the discovery of inactivating mutations in the Monocarboxylate transporter 8 (MCT8), which was found to be highly specific for TH transport. However, additional transmembrane transporters are also very important for TH uptake and efflux in different cell types. They transport TH as secondary substrates and include the aromatic amino acid transporting MCT10, the organic anion transporting polypeptides (e.g. OATP1C1, OATP1A2, OPTP1A4) and the large neutral amino acid transporters (LAT1 and LAT2). These TH transporters characteristically possess 12 transmembrane spanners but due to the strong differing sequences between the three transporter families we assume an identical conformation is not very likely. In contrast to the others, the LAT family members form a heterodimer with the escort protein 4F2hc/CD98. A comparison of sequence proportions, locations and types of functional sensitive features for TH transport discovered by mutations, revealed that transport sensitive charged residues occur as conserved amino acids only within each family of the transporter types but not in all putative TH transporters. Based on the lack of highly conserved sensitive charged residues throughout the three transporter families as a common counterpart for the amino acid moiety of the substrates, we conclude that the molecular transport mechanism is likely organized either a) by different molecular determinants in the divergent transporter types or b) the counterparts for the substrates` amino acid moiety at the transporter are not any charged side chains but other proton acceptors or donators. -
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. -
The Concise Guide to Pharmacology 2019/20
Edinburgh Research Explorer THE CONCISE GUIDE TO PHARMACOLOGY 2019/20 Citation for published version: Cgtp Collaborators 2019, 'THE CONCISE GUIDE TO PHARMACOLOGY 2019/20: Transporters', British Journal of Pharmacology, vol. 176 Suppl 1, pp. S397-S493. https://doi.org/10.1111/bph.14753 Digital Object Identifier (DOI): 10.1111/bph.14753 Link: Link to publication record in Edinburgh Research Explorer Document Version: Publisher's PDF, also known as Version of record Published In: British Journal of Pharmacology General rights Copyright for the publications made accessible via the Edinburgh Research Explorer is retained by the author(s) and / or other copyright owners and it is a condition of accessing these publications that users recognise and abide by the legal requirements associated with these rights. Take down policy The University of Edinburgh has made every reasonable effort to ensure that Edinburgh Research Explorer content complies with UK legislation. If you believe that the public display of this file breaches copyright please contact [email protected] providing details, and we will remove access to the work immediately and investigate your claim. Download date: 28. Sep. 2021 S.P.H. Alexander et al. The Concise Guide to PHARMACOLOGY 2019/20: Transporters. British Journal of Pharmacology (2019) 176, S397–S493 THE CONCISE GUIDE TO PHARMACOLOGY 2019/20: Transporters Stephen PH Alexander1 , Eamonn Kelly2, Alistair Mathie3 ,JohnAPeters4 , Emma L Veale3 , Jane F Armstrong5 , Elena Faccenda5 ,SimonDHarding5 ,AdamJPawson5 , Joanna L -
Expression of SLC2A9 Isoforms in the Kidney and Their Localization in Polarized Epithelial Cells
Expression of SLC2A9 Isoforms in the Kidney and Their Localization in Polarized Epithelial Cells Toru Kimura1, Michi Takahashi1, Kunimasa Yan2, Hiroyuki Sakurai1* 1 Department of Pharmacology and Toxicology, Kyorin University School of Medicine, Mitaka, Tokyo, Japan, 2 Department of Pediatrics, Kyorin University School of Medicine, Mitaka, Tokyo, Japan Abstract Background: Many genome-wide association studies pointed out that SLC2A9 gene, which encodes a voltage-driven urate transporter, SLC2A9/GLUT9 (a.k.a. URATv1), as one of the most influential genes for serum urate levels. SLC2A9 is reported to encode two splice variants: SLC2A9-S (512 amino acids) and SLC2A9-L (540 amino acids), only difference being at their N- termini. We investigated isoform-specific localization of SLC2A9 in the human kidney and role of N-terminal amino acids in differential sorting in vitro. Methodology/Principal Findings: Isoform specific antibodies against SLC2A9 were developed and human kidney sections were stained. SLC2A9-S was expressed in the apical side of the collecting duct while SLC2A9-L was expressed in the basolateral side of the proximal tubule. GFP fused SLC2A9s were expressed in MDCK cells and intracellular localization was observed. SLC2A9-S was expressed at both apical and basolateral membranes, whereas SLC2A9-L was expressed only at the basolateral membrane. Although SLC2A9-L has a putative di-leucine motif at 33th and 34th leucine, deletion of the motif or replacement of leucine did not affect its subcellular localization. When up to 16 amino acids were removed from the N- terminal of SLC2A9-S or when up to 25 amino acids were removed from the N-terminal of SLC2A9-L, there was no change in their sorting.