Gene Expression Patterns and Tumor Uptake of 18F-FDG, 18F-FLT, and 18F-FEC in PET/MRI of an Orthotopic Mouse Xenotransplantation Model of Pancreatic Cancer
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Transport of Sugars
BI84CH32-Frommer ARI 29 April 2015 12:34 Transport of Sugars Li-Qing Chen,1,∗ Lily S. Cheung,1,∗ Liang Feng,3 Widmar Tanner,2 and Wolf B. Frommer1 1Department of Plant Biology, Carnegie Institution for Science, Stanford, California 94305; email: [email protected] 2Zellbiologie und Pflanzenbiochemie, Universitat¨ Regensburg, 93040 Regensburg, Germany 3Department of Molecular and Cellular Physiology, Stanford University School of Medicine, Stanford, California 94305 Annu. Rev. Biochem. 2015. 84:865–94 Keywords First published online as a Review in Advance on glucose, sucrose, carrier, GLUT, SGLT, SWEET March 5, 2015 The Annual Review of Biochemistry is online at Abstract biochem.annualreviews.org Soluble sugars serve five main purposes in multicellular organisms: as sources This article’s doi: of carbon skeletons, osmolytes, signals, and transient energy storage and as 10.1146/annurev-biochem-060614-033904 transport molecules. Most sugars are derived from photosynthetic organ- Copyright c 2015 by Annual Reviews. isms, particularly plants. In multicellular organisms, some cells specialize All rights reserved in providing sugars to other cells (e.g., intestinal and liver cells in animals, ∗ These authors contributed equally to this review. photosynthetic cells in plants), whereas others depend completely on an ex- Annu. Rev. Biochem. 2015.84:865-894. Downloaded from www.annualreviews.org ternal supply (e.g., brain cells, roots and seeds). This cellular exchange of Access provided by b-on: Universidade de Lisboa (UL) on 09/05/16. For personal use only. sugars requires transport proteins to mediate uptake or release from cells or subcellular compartments. Thus, not surprisingly, sugar transport is criti- cal for plants, animals, and humans. -
Supplementary Material
BMJ Publishing Group Limited (BMJ) disclaims all liability and responsibility arising from any reliance Supplemental material placed on this supplemental material which has been supplied by the author(s) J Neurol Neurosurg Psychiatry Page 1 / 45 SUPPLEMENTARY MATERIAL Appendix A1: Neuropsychological protocol. Appendix A2: Description of the four cases at the transitional stage. Table A1: Clinical status and center proportion in each batch. Table A2: Complete output from EdgeR. Table A3: List of the putative target genes. Table A4: Complete output from DIANA-miRPath v.3. Table A5: Comparison of studies investigating miRNAs from brain samples. Figure A1: Stratified nested cross-validation. Figure A2: Expression heatmap of miRNA signature. Figure A3: Bootstrapped ROC AUC scores. Figure A4: ROC AUC scores with 100 different fold splits. Figure A5: Presymptomatic subjects probability scores. Figure A6: Heatmap of the level of enrichment in KEGG pathways. Kmetzsch V, et al. J Neurol Neurosurg Psychiatry 2021; 92:485–493. doi: 10.1136/jnnp-2020-324647 BMJ Publishing Group Limited (BMJ) disclaims all liability and responsibility arising from any reliance Supplemental material placed on this supplemental material which has been supplied by the author(s) J Neurol Neurosurg Psychiatry Appendix A1. Neuropsychological protocol The PREV-DEMALS cognitive evaluation included standardized neuropsychological tests to investigate all cognitive domains, and in particular frontal lobe functions. The scores were provided previously (Bertrand et al., 2018). Briefly, global cognitive efficiency was evaluated by means of Mini-Mental State Examination (MMSE) and Mattis Dementia Rating Scale (MDRS). Frontal executive functions were assessed with Frontal Assessment Battery (FAB), forward and backward digit spans, Trail Making Test part A and B (TMT-A and TMT-B), Wisconsin Card Sorting Test (WCST), and Symbol-Digit Modalities test. -
Supplementary Table 1
Supplementary Table 1. 492 genes are unique to 0 h post-heat timepoint. The name, p-value, fold change, location and family of each gene are indicated. Genes were filtered for an absolute value log2 ration 1.5 and a significance value of p ≤ 0.05. Symbol p-value Log Gene Name Location Family Ratio ABCA13 1.87E-02 3.292 ATP-binding cassette, sub-family unknown transporter A (ABC1), member 13 ABCB1 1.93E-02 −1.819 ATP-binding cassette, sub-family Plasma transporter B (MDR/TAP), member 1 Membrane ABCC3 2.83E-02 2.016 ATP-binding cassette, sub-family Plasma transporter C (CFTR/MRP), member 3 Membrane ABHD6 7.79E-03 −2.717 abhydrolase domain containing 6 Cytoplasm enzyme ACAT1 4.10E-02 3.009 acetyl-CoA acetyltransferase 1 Cytoplasm enzyme ACBD4 2.66E-03 1.722 acyl-CoA binding domain unknown other containing 4 ACSL5 1.86E-02 −2.876 acyl-CoA synthetase long-chain Cytoplasm enzyme family member 5 ADAM23 3.33E-02 −3.008 ADAM metallopeptidase domain Plasma peptidase 23 Membrane ADAM29 5.58E-03 3.463 ADAM metallopeptidase domain Plasma peptidase 29 Membrane ADAMTS17 2.67E-04 3.051 ADAM metallopeptidase with Extracellular other thrombospondin type 1 motif, 17 Space ADCYAP1R1 1.20E-02 1.848 adenylate cyclase activating Plasma G-protein polypeptide 1 (pituitary) receptor Membrane coupled type I receptor ADH6 (includes 4.02E-02 −1.845 alcohol dehydrogenase 6 (class Cytoplasm enzyme EG:130) V) AHSA2 1.54E-04 −1.6 AHA1, activator of heat shock unknown other 90kDa protein ATPase homolog 2 (yeast) AK5 3.32E-02 1.658 adenylate kinase 5 Cytoplasm kinase AK7 -
Human Glucose Transporters in Health and Diseases
Human Glucose Transporters in Health and Diseases Human Glucose Transporters in Health and Diseases By Leszek Szablewski Human Glucose Transporters in Health and Diseases By Leszek Szablewski This book first published 2019 Cambridge Scholars Publishing Lady Stephenson Library, Newcastle upon Tyne, NE6 2PA, UK British Library Cataloguing in Publication Data A catalogue record for this book is available from the British Library Copyright © 2019 by Leszek Szablewski All rights for this book reserved. No part of this book may be reproduced, stored in a retrieval system, or transmitted, in any form or by any means, electronic, mechanical, photocopying, recording or otherwise, without the prior permission of the copyright owner. ISBN (10): 1-5275-3558-4 ISBN (13): 978-1-5275-3558-9 CONTENTS Preface ...................................................................................................... vii Chapter 1 .................................................................................................... 1 Characteristics of Human Glucose Transporters Chapter 2 .................................................................................................... 5 Expression of Glucose Transporters in Health The human SLC2 (GLUT) family of membrane proteins ..................... 5 The human SLC5 (SGLT) family of membrane proteins .................... 30 The human SLC50 (SWEET) family of membrane proteins .............. 43 The role of glucose transporters in glucosensing machinery .............. 44 Chapter 3 ................................................................................................. -
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. -
Clinical, Molecular and Genetic Aspects
Gaceta Médica de México. 2016;152 Contents available at PubMed www.anmm.org.mx PERMANYER Gac Med Mex. 2016;152:492-501 www.permanyer.com GACETA MÉDICA DE MÉXICO REVIEW ARTICLE Glucotransporters: clinical, molecular and genetic aspects Roberto de Jesús Sandoval-Muñiz, Belinda Vargas-Guerrero, Luis Javier Flores-Alvarado and Carmen Magdalena Gurrola-Díaz* Health Sciences Campus, University of Guadalajara, Guadalajara, Jal., Mexico Abstract Oxidation of glucose is the major source of obtaining cell energy, this process requires glucose transport into the cell. However, cell membranes are not permeable to polar molecules such as glucose; therefore its internalization is accomplished by transporter proteins coupled to the cell membrane. In eukaryotic cells, there are two types of carriers coupled to the membrane: 1) cotransporter Na+-glucose (SGLT) where Na+ ion provides motive power for the glucose´s internalization, and 2) the glucotransporters (GLUT) act by facilitated diffusion. This review will focus on the 14 GLUT so far described. Despite the structural homology of GLUT, different genetic alterations of each GLUT cause specific clinical entities. Therefore, the aim of this review is to gather the molecular and biochemical available information of each GLUT as well as the particular syndromes and pathologies related with GLUT´s alterations and their clinical approaches. (Gac Med Mex. 2016;152:492-501) Corresponding author: Carmen Magdalena Gurrola-Díaz, [email protected] KEY WORDS: Sugar transport facilitators. GLUT. Glucose transporters. SLC2A. different affinity for carbohydrates1. In eukaryote cells ntroduction I there are two membrane-coupled transporter proteins: 1) Sodium-glucose co-transporters (SGLT), located in Glucose metabolism provides energy to the cell by the small bowel and renal tissue, mainly responsible means of adenosine-5’-triphosphate (ATP) biosynthe- for the absorption and reabsorption of nutrients, and sis, with glycolysis as the catabolic pathway. -
Supplementary Materials For
Supplementary Materials for The genetic architecture of phenotypic diversity in the betta fish (Betta splendens) Wanchang Zhang1†, Hongru Wang2†, Débora Y. C. Brandt2, Beijuan Hu1, Junqing Sheng1, Mengnan Wang1, Haijiang Luo1, Shujie Guo1, Bin Sheng1, Qi Zeng1, Kou Peng1, Daxian Zhao1, Shaoqing Jian1, Di Wu1, Junhua Wang1, Joep H. M. van Esch6, Wentian Shi4, Jun Ren3, Rasmus Nielsen2, 5*, Yijiang Hong1* Correspondence to: [email protected], [email protected] This PDF file includes: Materials and Methods Supplementary Texts S1 to S11 Figs. S1 to S56 Tables S1 to S13 Captions for Data S1 to S5 Other Supplementary Materials for this manuscript include the following: Data S1 to S5: 1. Results of genome-wide association studies of all the recorded traits in the Siamese fighting fish. 2. Results of ABBA-BABA tests. 3. Expanded and contracted genes and families in the Siamese fighting fish. 4. Differentially expressed genes in brain between Fighter and Non-Fighter. 5. Functional enrichment of the identified genes by GWAS between the Fighter and Non-Fighter breeds. Material and Methods 7 1. Fish samples 7 2. DNA extraction, library construction and sequencing 7 3. Hi-C library preparation and sequencing 7 4. RNA extraction and sequencing 8 5. RNA-Seq data analysis 8 6. Genome assembly 8 7. Genome annotation 9 Repeat annotation 9 Non-coding RNA annotation 9 Gene prediction 9 Gene function annotation 10 8. Phylogeny of teleost 10 Identification of orthologs 10 Phylogenetic tree construction and divergence time estimation 10 Expansion and contraction of gene families 11 9. Population genetics 11 Read mapping 11 SNP and genotype calling 11 Principal Component Analysis 13 NJ tree 13 ADMIXTURE 13 Nucleotide diversity 13 TreeMix 13 ABBA-BABA 13 10. -
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. -
Leucophores Are Similar to Xanthophores in Their Specification and Differentiation Processes in Medaka
Leucophores are similar to xanthophores in their specification and differentiation processes in medaka Tetsuaki Kimuraa,b,1, Yusuke Nagaoc, Hisashi Hashimotoc, Yo-ichi Yamamoto-Shiraishid, Shiori Yamamotod, Taijiro Yabeb,e, Shinji Takadab,e, Masato Kinoshitaf, Atsushi Kuroiwad, and Kiyoshi Narusea,b,g aInteruniversity Bio-Backup Project Center, National Institute for Basic Biology, Okazaki 444-8787, Aichi, Japan; bDepartment of Basic Biology, School of Life Science, Graduate University for Advanced Studies (SOKENDAI), Okazaki, Aichi 444-8787, Japan; cBioscience and Biotechnology Center and Division of Biological Science, Graduate School of Science, Nagoya University, Furo-cho, Chikusa-ku, Nagoya 464-8601, Japan; dDivision of Biological Science, Graduate School of Science, Nagoya University, Furo-cho, Chikusa-ku, Nagoya 464-8602, Japan; eOkazaki Institute for Integrative Bioscience and National Institute for Basic Biology, National Institutes of Natural Sciences, Okazaki, Aichi 444-8787, Japan; fDivision of Applied Bioscience, Graduate School of Agriculture, Kyoto University, Sakyo-ku, Kyoto 606-8502, Japan; and gLaboratory of Bioresources, National Institute for Basic Biology, Okazaki 444-8585, Aichi, Japan Edited by Sean B. Carroll, University of Wisconsin, Madison, WI, and approved April 9, 2014 (received for review June 14, 2013) Animal body color is generated primarily by neural crest-derived been considered to be closely related to iridophores based on the pigment cells in the skin. Mammals and birds have only melanocytes primary pigment. Purines are the primary pigment of leucophores on the surface of their bodies; however, fish have a variety of and iridophores (i.e., uric acid in leucophores and guanine in iri- pigment cell types or chromatophores, including melanophores, dophores) (3, 8, 9). -
Identification of Biomarkers, Pathways and Potential Therapeutic Targets for Heart Failure Using Bioinformatics Analysis
bioRxiv preprint doi: https://doi.org/10.1101/2021.08.05.455244; this version posted August 6, 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 biomarkers, pathways and potential therapeutic targets for heart failure using 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/10.1101/2021.08.05.455244; this version posted August 6, 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 Heart failure (HF) is a complex cardiovascular diseases associated with high mortality. To discover key molecular changes in HF, we analyzed next-generation sequencing (NGS) data of HF. In this investigation, differentially expressed genes (DEGs) were analyzed using limma in R package from GSE161472 of the Gene Expression Omnibus (GEO). Then, gene enrichment analysis, protein-protein interaction (PPI) network, miRNA-hub gene regulatory network and TF-hub gene regulatory network construction, and topological analysis were performed on the DEGs by the Gene Ontology (GO), REACTOME pathway, STRING, HiPPIE, miRNet, NetworkAnalyst and Cytoscape. Finally, we performed receiver operating characteristic curve (ROC) analysis of hub genes. A total of 930 DEGs 9464 up regulated genes and 466 down regulated genes) were identified in HF. -
Lupus Nephritis Supp Table 5
Supplementary Table 5 : Transcripts and DAVID pathways correlating with the expression of CD4 in lupus kidney biopsies Positive correlation Negative correlation Transcripts Pathways Transcripts Pathways Identifier Gene Symbol Correlation coefficient with CD4 Annotation Cluster 1 Enrichment Score: 26.47 Count P_Value Benjamini Identifier Gene Symbol Correlation coefficient with CD4 Annotation Cluster 1 Enrichment Score: 3.16 Count P_Value Benjamini ILMN_1727284 CD4 1 GOTERM_BP_FAT translational elongation 74 2.50E-42 1.00E-38 ILMN_1681389 C2H2 zinc finger protein-0.40001984 INTERPRO Ubiquitin-conjugating enzyme/RWD-like 17 2.00E-05 4.20E-02 ILMN_1772218 HLA-DPA1 0.934229063 SP_PIR_KEYWORDS ribosome 60 2.00E-41 4.60E-39 ILMN_1768954 RIBC1 -0.400186083 SMART UBCc 14 1.00E-04 3.50E-02 ILMN_1778977 TYROBP 0.933302249 KEGG_PATHWAY Ribosome 65 3.80E-35 6.60E-33 ILMN_1699190 SORCS1 -0.400223681 SP_PIR_KEYWORDS ubl conjugation pathway 81 1.30E-04 2.30E-02 ILMN_1689655 HLA-DRA 0.915891173 SP_PIR_KEYWORDS protein biosynthesis 91 4.10E-34 7.20E-32 ILMN_3249088 LOC93432 -0.400285215 GOTERM_MF_FAT small conjugating protein ligase activity 35 1.40E-04 4.40E-02 ILMN_3228688 HLA-DRB1 0.906190291 SP_PIR_KEYWORDS ribonucleoprotein 114 4.80E-34 6.70E-32 ILMN_1680436 CSH2 -0.400299744 SP_PIR_KEYWORDS ligase 54 1.50E-04 2.00E-02 ILMN_2157441 HLA-DRA 0.902996561 GOTERM_CC_FAT cytosolic ribosome 59 3.20E-33 2.30E-30 ILMN_1722755 KRTAP6-2 -0.400334007 GOTERM_MF_FAT acid-amino acid ligase activity 40 1.60E-04 4.00E-02 ILMN_2066066 HLA-DRB6 0.901531942 SP_PIR_KEYWORDS -
Transcriptomic Analysis of Patients with Tetralogy of Fallot Reveals the Effect of Chronic Hypoxia on Myocardial Gene Expression
Ghorbel et al Congenital Heart Disease Transcriptomic analysis of patients with tetralogy of Fallot reveals the effect of chronic hypoxia on myocardial gene expression Mohamed T. Ghorbel, PhD, Myriam Cherif, PhD, Emma Jenkins, PhD, Amir Mokhtari, MRCS, Damien Kenny, MRCPCH, Gianni D. Angelini, FRCS, and Massimo Caputo, MD Objectives: In cyanotic patients undergoing repair of heart defects, chronic hypoxia is thought to lead to greater susceptibility to ischemia and reoxygenation injury. We sought to find an explanation to such a hypothesis by investigating the cardiac gene expression in patients with tetralogy of Fallot undergoing cardiac surgery. CHD Methods: The myocardial gene profile was investigated in right ventricular biopsy specimens obtained from 20 patients with a diagnosis of cyanotic (n ¼ 11) or acyanotic (n ¼ 9) tetralogy of Fallot undergoing surgical repair. Oligonucleotide microarray analyses were performed on the samples, and the array results were validated with Western blotting and enzyme-linked immunosorbent assay. Results: Data revealed 795 differentially expressed genes in cyanotic versus acyanotic hearts, with 198 upregu- lated and 597 downregulated. Growth/morphogenesis, remodeling, and apoptosis emerged as dominant func- tional themes for the upregulated genes and included the apoptotic gene TRAIL (tumor necrosis factor–related apoptosis-inducing ligand), the remodeling factor OPN (osteopontin), and the mitochondrial function gene COX11 (cytochrome-c oxidase 11). In contrast, transcription, mitogen-activated protein kinase signaling, and contractile machinery were the dominant functional classes for the downregulated genes, which included the calcium-handling gene NCX1 (sodium-calcium exchanger). Protein levels of COX11, NCX1, OPN, and LYZ (ly- sozyme) in the myocardium followed the same pattern obtained by means of transcriptomics.