Transporters
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Supplemental Material Table of Contents
Supplemental material Table of Contents Detailed Materials and Methods ......................................................................................................... 2 Perioperative period ........................................................................................................................... 2 Ethical aspects ................................................................................................................................... 4 Evaluation of heart failure ................................................................................................................. 4 Sample preparation for ANP mRNA expression .................................................................................. 5 Sample preparation for validative qRT-PCR (Postn, Myh7, Gpx3, Tgm2) ............................................ 6 Tissue fibrosis .................................................................................................................................... 7 Ventricular remodeling and histological tissue preservation ................................................................ 8 Evaluation of the histological preservation of cardiac tissue ................................................................ 9 Sample preparation and quantitative label-free proteomics analyses .................................................. 10 Statistical methods ........................................................................................................................... 12 References ........................................................................................................................................ -
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. -
Identification of Candidate Substrates of the Leucine Rich Repeat Kinase 2 by Mass Spectrometry
Identification of candidate substrates of the leucine rich repeat kinase 2 by mass spectrometry- based phosphoproteomics William Carl Edelman A dissertation submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy University of Washington 2016 Reading Committee: Judit Villén, Chair Leo Pallanck Deborah Nickerson Program Authorized to Offer Degree: Department of Genome Sciences 2 © Copyright 2016 William Carl Edelman 3 University of Washington Abstract Identification of candidate substrates of the leucine rich repeat kinase 2 by mass spectrometry-based phosphoproteomics William Carl Edelman Chair of the Supervisory Committee: Assistant Professor, Judit Villén Department of Genome Sciences Mutations in the kinase domain of the leucine rich repeat kinase (LRRK2) have been implicated in heritable forms of Parkinson’s disease (PD). Specifically, a glycine to serine mutation (G2019S) has demonstrated hyperactive autophosphorylation, neuronal toxicity, and locomotor deficits in the fruit fly Drosophila melanogaster— all of which are related to its pathogenicity in PD. My dissertation focuses on identifying novel substrates of LRRK2 through analysis of proteome-wide changes in protein abundance as well as identifying changes in phosphorylation of proteins in vitro and in the in vivo fruit fly model. Using mass spectrometry, I provide quantitative information on thousands of proteins and phosphorylation sites. In vitro kinase assays on peptides derived from fly heads or a neuroblastoma cell line provide evidence for direct substrates of LRRK2, while the in vivo experiment in flies expressing LRRK2 identifies both direct and indirect phosphorylation substrates of the kinase. Herein, I present evidence for novel, LRRK2-mediated phosphorylation sites in the Drosophila melanogaster and the neuroblastoma models of PD. -
Stelios Pavlidis3, Matthew Loza3, Fred Baribaud3, Anthony
Supplementary Data Th2 and non-Th2 molecular phenotypes of asthma using sputum transcriptomics in UBIOPRED Chih-Hsi Scott Kuo1.2, Stelios Pavlidis3, Matthew Loza3, Fred Baribaud3, Anthony Rowe3, Iaonnis Pandis2, Ana Sousa4, Julie Corfield5, Ratko Djukanovic6, Rene 7 7 8 2 1† Lutter , Peter J. Sterk , Charles Auffray , Yike Guo , Ian M. Adcock & Kian Fan 1†* # Chung on behalf of the U-BIOPRED consortium project team 1Airways Disease, National Heart & Lung Institute, Imperial College London, & Biomedical Research Unit, Biomedical Research Unit, Royal Brompton & Harefield NHS Trust, London, United Kingdom; 2Department of Computing & Data Science Institute, Imperial College London, United Kingdom; 3Janssen Research and Development, High Wycombe, Buckinghamshire, United Kingdom; 4Respiratory Therapeutic Unit, GSK, Stockley Park, United Kingdom; 5AstraZeneca R&D Molndal, Sweden and Areteva R&D, Nottingham, United Kingdom; 6Faculty of Medicine, Southampton University, Southampton, United Kingdom; 7Faculty of Medicine, University of Amsterdam, Amsterdam, Netherlands; 8European Institute for Systems Biology and Medicine, CNRS-ENS-UCBL, Université de Lyon, France. †Contributed equally #Consortium project team members are listed under Supplementary 1 Materials *To whom correspondence should be addressed: [email protected] 2 List of the U-BIOPRED Consortium project team members Uruj Hoda & Christos Rossios, Airways Disease, National Heart & Lung Institute, Imperial College London, UK & Biomedical Research Unit, Biomedical Research Unit, Royal -
Regulation of Skeletal Muscle Glucose Transport and Glucose Metabolism by Exercise Training
nutrients Review Regulation of Skeletal Muscle Glucose Transport and Glucose Metabolism by Exercise Training Parker L. Evans 1,2,3, Shawna L. McMillin 1,2,3 , Luke A. Weyrauch 1,2,3 and Carol A. Witczak 1,2,3,4,* 1 Department of Kinesiology, East Carolina University, Greenville, NC 27858, USA; [email protected] (P.L.E.); [email protected] (S.L.M.); [email protected] (L.A.W.) 2 Department of Physiology, Brody School of Medicine, East Carolina University, Greenville, NC 27834, USA 3 East Carolina Diabetes & Obesity Institute, East Carolina University, Greenville, NC 27834, USA 4 Department of Biochemistry & Molecular Biology, Brody School of Medicine, East Carolina University, Greenville, NC 27834, USA * Correspondence: [email protected]; Tel.: +1-252-744-1224 Received: 8 September 2019; Accepted: 8 October 2019; Published: 12 October 2019 Abstract: Aerobic exercise training and resistance exercise training are both well-known for their ability to improve human health; especially in individuals with type 2 diabetes. However, there are critical differences between these two main forms of exercise training and the adaptations that they induce in the body that may account for their beneficial effects. This article reviews the literature and highlights key gaps in our current understanding of the effects of aerobic and resistance exercise training on the regulation of systemic glucose homeostasis, skeletal muscle glucose transport and skeletal muscle glucose metabolism. Keywords: aerobic exercise; blood glucose; functional overload; GLUT; hexokinase; insulin resistance; resistance exercise; SGLT; type 2 diabetes; weightlifting 1. Introduction Exercise training is defined as planned bouts of physical activity which repeatedly occur over a duration of time lasting from weeks to years. -
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. -
Supplementary Table 3 Complete List of RNA-Sequencing Analysis of Gene Expression Changed by ≥ Tenfold Between Xenograft and Cells Cultured in 10%O2
Supplementary Table 3 Complete list of RNA-Sequencing analysis of gene expression changed by ≥ tenfold between xenograft and cells cultured in 10%O2 Expr Log2 Ratio Symbol Entrez Gene Name (culture/xenograft) -7.182 PGM5 phosphoglucomutase 5 -6.883 GPBAR1 G protein-coupled bile acid receptor 1 -6.683 CPVL carboxypeptidase, vitellogenic like -6.398 MTMR9LP myotubularin related protein 9-like, pseudogene -6.131 SCN7A sodium voltage-gated channel alpha subunit 7 -6.115 POPDC2 popeye domain containing 2 -6.014 LGI1 leucine rich glioma inactivated 1 -5.86 SCN1A sodium voltage-gated channel alpha subunit 1 -5.713 C6 complement C6 -5.365 ANGPTL1 angiopoietin like 1 -5.327 TNN tenascin N -5.228 DHRS2 dehydrogenase/reductase 2 leucine rich repeat and fibronectin type III domain -5.115 LRFN2 containing 2 -5.076 FOXO6 forkhead box O6 -5.035 ETNPPL ethanolamine-phosphate phospho-lyase -4.993 MYO15A myosin XVA -4.972 IGF1 insulin like growth factor 1 -4.956 DLG2 discs large MAGUK scaffold protein 2 -4.86 SCML4 sex comb on midleg like 4 (Drosophila) Src homology 2 domain containing transforming -4.816 SHD protein D -4.764 PLP1 proteolipid protein 1 -4.764 TSPAN32 tetraspanin 32 -4.713 N4BP3 NEDD4 binding protein 3 -4.705 MYOC myocilin -4.646 CLEC3B C-type lectin domain family 3 member B -4.646 C7 complement C7 -4.62 TGM2 transglutaminase 2 -4.562 COL9A1 collagen type IX alpha 1 chain -4.55 SOSTDC1 sclerostin domain containing 1 -4.55 OGN osteoglycin -4.505 DAPL1 death associated protein like 1 -4.491 C10orf105 chromosome 10 open reading frame 105 -4.491 -
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 -
A SARS-Cov-2-Human Protein-Protein Interaction Map Reveals Drug Targets and Potential Drug-Repurposing
A SARS-CoV-2-Human Protein-Protein Interaction Map Reveals Drug Targets and Potential Drug-Repurposing Supplementary Information Supplementary Discussion All SARS-CoV-2 protein and gene functions described in the subnetwork appendices, including the text below and the text found in the individual bait subnetworks, are based on the functions of homologous genes from other coronavirus species. These are mainly from SARS-CoV and MERS-CoV, but when available and applicable other related viruses were used to provide insight into function. The SARS-CoV-2 proteins and genes listed here were designed and researched based on the gene alignments provided by Chan et. al. 1 2020 . Though we are reasonably sure the genes here are well annotated, we want to note that not every protein has been verified to be expressed or functional during SARS-CoV-2 infections, either in vitro or in vivo. In an effort to be as comprehensive and transparent as possible, we are reporting the sub-networks of these functionally unverified proteins along with the other SARS-CoV-2 proteins. In such cases, we have made notes within the text below, and on the corresponding subnetwork figures, and would advise that more caution be taken when examining these proteins and their molecular interactions. Due to practical limits in our sample preparation and data collection process, we were unable to generate data for proteins corresponding to Nsp3, Orf7b, and Nsp16. Therefore these three genes have been left out of the following literature review of the SARS-CoV-2 proteins and the protein-protein interactions (PPIs) identified in this study. -
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. -
Ferredoxin Reductase Is Critical for P53-Dependent Tumor Suppression Via Iron Regulatory Protein 2
Downloaded from genesdev.cshlp.org on October 11, 2021 - Published by Cold Spring Harbor Laboratory Press Ferredoxin reductase is critical for p53- dependent tumor suppression via iron regulatory protein 2 Yanhong Zhang,1,9 Yingjuan Qian,1,2,9 Jin Zhang,1 Wensheng Yan,1 Yong-Sam Jung,1,2 Mingyi Chen,3 Eric Huang,4 Kent Lloyd,5 Yuyou Duan,6 Jian Wang,7 Gang Liu,8 and Xinbin Chen1 1Comparative Oncology Laboratory, Schools of Veterinary Medicine and Medicine, University of California at Davis, Davis, California 95616, USA; 2College of Veterinary Medicine, Nanjing Agricultural University, Nanjing 210014, China; 3Department of Pathology, University of Texas Southwestern Medical Center, Dallas, Texas 75390, USA; 4Department of Pathology, School of Medicine, University of California at Davis Health, Sacramento, California 95817, USA; 5Department of Surgery, School of Medicine, University of California at Davis Health, Sacramento, California 95817, USA; 6Department of Dermatology and Internal Medicine, University of California at Davis Health, Sacramento, California 95616, USA; 7Department of Pathology, School of Medicine, Wayne State University, Detroit, Michigan 48201 USA; 8Department of Medicine, School of Medicine, University of Alabama at Birmingham, Birmingham, Alabama 35294, USA Ferredoxin reductase (FDXR), a target of p53, modulates p53-dependent apoptosis and is necessary for steroido- genesis and biogenesis of iron–sulfur clusters. To determine the biological function of FDXR, we generated a Fdxr- deficient mouse model and found that loss of Fdxr led to embryonic lethality potentially due to iron overload in developing embryos. Interestingly, mice heterozygous in Fdxr had a short life span and were prone to spontaneous tumors and liver abnormalities, including steatosis, hepatitis, and hepatocellular carcinoma. -
9-Azido Analogs of Three Sialic Acid Forms for Metabolic Remodeling Of
Supporting Information 9-Azido Analogs of Three Sialic Acid Forms for Metabolic Remodeling of Cell-Surface Sialoglycans Bo Cheng,†,‡ Lu Dong,†,§ Yuntao Zhu,†,‡ Rongbing Huang,†,‡ Yuting Sun,†,‖ Qiancheng You,†,‡ Qitao Song,†,§ James C. Paton, ∇ Adrienne W. Paton,∇ and Xing Chen*,†,‡,§,⊥,# †College of Chemistry and Molecular Engineering, ‡Beijing National Laboratory for Molecular Sciences, §Peking−Tsinghua Center for Life Sciences,‖Academy for Advanced Interdisciplinary Studies, ⊥Synthetic and Functional Biomolecules Center, and #Key Laboratory of Bioorganic Chemistry and Molecular Engineering of Ministry of Education, Peking University, Beijing 100871, China ∇Research Centre for Infectious Diseases, Department of Molecular and Biomedical Science, University of Adelaide, Adelaide SA 5005, Australia Page S1 Table of Contents: Scheme S1.……………………………………………………….........……………. S3 Figure S1……………………………………………………..………..……………. S3 Figure S2……………………………………………………..………..…………… S4 Figure S3……………………………………………………..………..…………… S4 Figure S4……………………………………………………..………..…………… S5 Figure S5……………………………………………………..………..…………… S6 Figure S6……………………………………………………..………..…………….S7 Figure S7……………………………………………………..………..…………….S8 Figure S8……………………………………………………..………..…………….S9 Experimental Procedures……………………………….…........…………....S10-S27 Table S1………………………………………………..………..…………….S28-S48 Supporting Reference……………………………………………….......………...S49 Page S2 Scheme S1. Synthesis of 9AzNeu5Gc Figure S1: a, b, c, d) Representative scatter plots (FSC vs. SSC) and histograms of flow cytometry analysis