SNAT 2 Expression and Regulation in Human Growth-Restricted Placentas

Total Page:16

File Type:pdf, Size:1020Kb

SNAT 2 Expression and Regulation in Human Growth-Restricted Placentas nature publishing group Articles Basic Science Investigation SNAT2 expression and regulation in human growth-restricted placentas Chiara Mandò1,2, Silvia Tabano2,3, Paola Pileri1,2, Patrizia Colapietro2,4, Maria Antonella Marino1,2, Laura Avagliano2,5, Patrizia Doi2,5, Gaetano Bulfamante2,5, Monica Miozzo2,3 and Irene Cetin1,2 BACKGROUND: Amino acid placental delivery is reduced in pregnancies sampled at the time of caesarean section or at cor- human intrauterine growth–restricted (IUGR) fetuses, and the docentesis (3,4). Previous in vivo studies measured by stable activity of placental amino transporters has been consistently isotope tracers found decreased essential amino acid placen- shown to be decreased in in vitro studies. We hypothesized tal transport rates (5,6), and in vitro experiments confirmed lower placental expression and localization of sodium-cou- reduced activity of placental amino acid transport systems pled neutral amino acid transporter 2 (SNAT2 (also known as (10,11) in IUGR and small-for-gestational-age pregnancies as SLC38A2)), altered levels of intron-1 methylation, and altered compared with normal pregnancies. distribution of single-nucleotide polymorphisms in human Amino acid transporters play an important part in regu- IUGR vs. normal pregnancies. lating fetal plasma amino acid composition (12). The System METHODS: We studied 88 IUGR and 84 control placentas from A family, which contains three highly homologous protein singleton pregnancies at elective caesarean section. SNAT2 subtypes (sodium-coupled neutral amino acid transporter expression was investigated by real-time PCR and immuno- 1 (SNAT1; also known as SLC38A1), SNAT2 (also known as histochemistry. Intron-1 methylation levels were analyzed by SLC38A2), and SNAT4 (also known as SLC38A4), promotes pyrosequencing, and single-nucleotide polymorphism distri- the transport of neutral amino acids from the mother to the bution was analyzed by allelic discrimination. fetus, which is vital for the development and growth of both RESULTS: mRNA levels were significantly decreased the fetus and the placenta and may function in the transport of in IUGR placentas with reduced umbilical blood flows. amino acids at the blood–brain barrier. In particular, SNAT2 Syncytiotrophoblast immunostaining was lower in IUGR pla- is expressed both in fetus and placenta and has a crucial role centas than in control placentas. Methylation levels were in the control of fetal growth (13). A number of studies report steadily low in both IUGR and control placentas. SNP genotype reduced System A membrane activity per milligram of micro- and allele frequencies did not differ between the two groups. villous membrane in human IUGR placentas (10,14,15). Of CONCLUSION: This is the first study investigating SNAT2 note, in rats, placental Snat2 downregulation has been dem- expression and regulation mechanisms in human IUGR pla- onstrated to precede the development of intrauterine growth centas. We confirm previous results obtained in rats and cell restriction (13), suggesting that its reduction is a cause, and cultures that support the fundamental role of SNAT2 in fetal not a consequence of the disease. However, SNAT2 expression growth and well-being, as well as a possible role of oxygen lev- and regulation mechanisms have never been investigated in els in regulating SNAT2 expression, indicating the relevance of the human placental tissue. hypoxia in IUGR. Snat2 regulation is mediated by several factors (13,16–19), particularly hypoxia and amino acid extracellular concentra- educed oxygen and nutrient placental delivery has been tions. SNAT2 intron-1 is a noncoding region within the SNAT2 Rclearly demonstrated in intrauterine growth–restricted gene that spans 54 nucleotides and contains sequences that are (IUGR) pregnancies (1–7). Amino acids are needed during able to respond to amino acid deficiency and activate SNAT2 fetal growth for protein synthesis and also for energy pro- gene expression (20). Moreover, intron-1 contains CpG islands duction, supplying 20–40% of the fetal–placental unit energy (CpGs), which are repeated CG sequences in which the C requirements (8). The placenta itself consumes a large amount nucleotide is the site of DNA methylation. of amino acids, accounting for its active metabolism (9). Here, we measured SNAT2 gene expression and protein We previously reported reduced amino acid concentrations localization in human IUGR placentas compared with control as well as altered fetal–maternal amino acid gradients in IUGR placentas. We then measured methylation levels of the CpG 1Department of Biomedical and Clinical Sciences, Luigi Sacco Hospital, University of Milan, Milan, Italy; 2Center for Fetal Research Giorgio Pardi, University of Milan, Milan, Italy; 3Department of Clinical/Surgical Pathophysiology and Organ Transplant, Division of Pathology, Fondazione IRCCS Ca’ Granda–Ospedale Maggiore Policlinico, Milan, Italy; 4Department of Health Sciences, Division of Pathology, Fondazione IRCCS Ca’ Granda–Ospedale Maggiore Policlinico, Milan, Italy; 5Department of Health Sciences, San Paolo Hospital, University of Milan, Milan, Italy. Correspondence: Irene Cetin ([email protected]) Received 10 August 2012; accepted 22 January 2013; advance online publication 24 July 2013. doi:10.1038/pr.2013.83 104 Pediatric REsEarcH Volume 74 | Number 2 | August 2013 Copyright © 2013 International Pediatric Research Foundation, Inc. SNAT2 in human IUGR placentas Articles islands located within the placental SNAT2 intron-1 to verify differences in the IUGR population with gestational age rang- possible differences in methylation profile between IUGR and ing between 30 and 39 wk, representing all three groups of normal pregnancies. Finally, we investigated the association severity, we reported a significant difference in gestational with intrauterine growth restriction of a single-nucleotide age between the severity groups, but no significant correla- polymorphism (SNP) located within a SNAT2 intron-1 CpG tion between SNAT2 expression and gestational age. There island, the ancestral nucleotide of which is a cytosine belong- were no significant gender-related differences in SNAT2 gene ing to the CpG island. expression. RESULTS a Cord Blood Analysis 0.4 Blood from IUGR umbilical arteries and veins had significantly * lower pO2 than that of controls (P < 0.001) (Table 1). Similarly, oxygen saturation and content were significantly lower and 0.3 els lactate was significantly higher in IUGR umbilical veins and v arteries than in controls. These differences increased progres- sively with the severity of intrauterine growth restriction. 0.2 T2 mRNA le SNAT2 Gene Expression in IUGR and Control Placentas SNA 0.1 SNAT2 mRNA levels from 49 IUGR and 41 control placentas were analyzed by real-time PCR. SNAT2 gene expression levels were significantly lower in 0.0 IUGR placentas, with a 27% reduction compared with controls Controls IUGR (P = 0.03) (Figure 1a). However, after dividing the IUGR pla- b centas into three severity groups, SNAT2 expression levels were significantly lower than controls only in the two most severe 0.13 groups (that is, IUGR2 and IUGR3) (P = 0.007) (Figure 1b). 0.10 els SNAT2 mRNA levels decreased in relation to the oxygen v ** content in the umbilical vein, and this relation was statistically significant (P = 0.03) (Figure 1c). A significant positive rela- 0.08 tionship was observed in the study population between SNAT2 T2 mRNA le 0.05 mRNA levels and maternal age, as well as with gestational SNA age and fetal and placental weights. However, after analyzing 0.03 Table 1. Cord blood analysis in IUGR and control pregnancies 0.00 Average SD P Controls IUGR 1 IUGR 2+3 UV: pO (mm/Hg) Controls 25.9 6.7 ** c 2 0.25 IUGR 17.6 4.5 UA: pO2 (mmHg) Controls 12.5 4.1 ** 0.20 IUGR 8.1 3.5 els v UV: O2 content (mmol/l) Controls 4.0 1.8 ** IUGR 2.2 1.2 0.15 T2 mRNA le UA: O2 content (mmol/l) Controls 1.2 0.9 * SNA IUGR 0.6 0.6 0.10 UV: O2 saturation (%) Controls 45.5 19.1 ** IUGR 24.9 13.6 0.05 UA: O2 saturation (%) Controls 13.2 9.8 * 0 510 15 20 IUGR 7.4 6.2 Umbilical vein oxygen content UV: lactate (mmol/l) Controls 1.5 0.4 ** Figure 1. Sodium-coupled neutral amino acid transporter 2 (SNAT2) gene IUGR 2.2 1.3 expression. (a) SNAT2 gene expression in control and intrauterine growth– restricted (IUGR) placentas. Bars represent median values. mRNA levels in UA: lactate (mmol/l) Controls 1.7 0.6 * IUGR placentas are significantly lower compared with control placentas. IUGR 2.5 1.6 (b) SNAT2 gene expression in control and IUGR placentas divided by sever- ity. Data are presented as mean ± SE. mRNA levels decrease with IUGR IUGR, intrauterine growth–restricted; UA, umbilical artery; UV, umbilical vein. severity. (c) Significant relation between SNAT2 mRNA levels and umbilical *P < 0.05; **P < 0.001. vein oxygen content in the IUGR group. *P < 0.05 and ** P < 0.01. Copyright © 2013 International Pediatric Research Foundation, Inc. Volume 74 | Number 2 | August 2013 Pediatric REsEarcH 105 Articles Mandò et al. SNAT2 Localization in IUGR and Control Placentas (2.6 ± 0.5 and 2.8 ± 0.4, respectively), whereas the IUGR2 and SNAT2 protein was expressed in placental tissues from both IUGR3 groups had significantly lower values for both distribu- IUGR patients and controls. Cytoplasmic SNAT2 immunore- tion (1.3 ± 0.6) and intensity (1.6 ± 0.6) (P < 0.05). activity was observed in the amniotic epithelium, in the wall of the chorionic and stem vessels, and in the villous and extravil- SNAT2 Intron-1 Methylation Levels in IUGR and Control Placentas lous trophoblast. Immunostaining was present in both the Methylation analyses were conducted on DNA extracted from cyto- and syncytiotrophoblast. 37 IUGR placentas and 28 control placentas, as well as from No differences in SNAT2 spatial distribution were observed 10 peripheral blood samples taken from healthy adults, which between cases and controls in all samples examined. In our were used as external controls.
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]
  • Phospho-SGK Pser422 Antibody
    Lot Number: RD2191861I Phospho-SGK pSer422 Antibody Product Data Sheet Tested Species Reactivity Details Human (Hu) Catalog Number: PA5-35427 Mouse (Ms) Size: 100 µl Rat (Rt) Class: Polyclonal Type: Antibody Tested Applications Dilution * Clone: Western Blot (WB) 1:500-1:2000 Host / Isotype: Rabbit / IgG * Suggested working dilutions are given as a guide only. It is recommended that the user titrates the product for use in their own A synthesized peptide derived from experiment using appropriate negative and positive controls. Immunogen: human SGK around the phosphorylation site of Serine 422 Form Information Form: Liquid Concentration: Lot Specific Purification: Antigen affinity chromatography Storage Buffer: PBS, pH 7.5, with 50% glycerol Preservative: 0.02% sodium azide Storage Conditions: -20° C, Avoid Freeze/Thaw Cycles Product Specific Information General Information Concentration is lot-specific and will vary from 0.5-0.6 mg/ml Serine/threonine-protein kinase which is involved in the regulation of a wide variety of ion channels, membrane transporters, cellular enzymes, For Research Use Only. Not for use in diagnostic procedures. Not for transcription factors, neuronal excitability, cell growth, proliferation, resale without express authorization. survival, migration and apoptosis. Plays an important role in cellular stress response. Contributes to regulation of renal Na(+) retention, renal K(+) elimination, salt appetite, gastric acid secretion, intestinal Na(+)/H(+) exchange and nutrient transport, insulin-dependent salt sensitivity
    [Show full text]
  • Amino Acid Transporters and Glutamine Metabolism in Breast Cancer
    International Journal of Molecular Sciences Review Amino Acid Transporters and Glutamine Metabolism in Breast Cancer Yoon Jin Cha ID , Eun-Sol Kim and Ja Seung Koo * ID Department of Pathology, Yonsei University College of Medicine, Seoul, 03722, Korea; [email protected] (Y.J.C.); [email protected] (E.-S.K.) * Correspondence: [email protected]; Tel.: +82-2-2228-1772; Fax: +82-2-362-0860 Received: 6 February 2018; Accepted: 18 March 2018; Published: 19 March 2018 Abstract: Amino acid transporters are membrane transport proteins, most of which are members of the solute carrier families. Amino acids are essential for the survival of all types of cells, including tumor cells, which have an increased demand for nutrients to facilitate proliferation and cancer progression. Breast cancer is the most common malignancy in women worldwide and is still associated with high mortality rates, despite improved treatment strategies. Recent studies have demonstrated that the amino acid metabolic pathway is altered in breast cancer and that amino acid transporters affect tumor growth and progression. In breast cancer, glutamine is one of the key nutrients, and glutamine metabolism is closely related to the amino acid transporters. In this review, we focus on amino acid transporters and their roles in breast cancer. We also highlight the different subsets of upregulated amino acid transporters in breast cancer and discuss their potential applications as treatment targets, cancer imaging tracers, and drug delivery components. Glutamine metabolism as well as its regulation and therapeutic implication in breast cancer are also discussed. Keywords: amino acid transporters; human pathology; breast cancer; transport mechanism 1.
    [Show full text]
  • Epistasis-Driven Identification of SLC25A51 As a Regulator of Human
    ARTICLE https://doi.org/10.1038/s41467-020-19871-x OPEN Epistasis-driven identification of SLC25A51 as a regulator of human mitochondrial NAD import Enrico Girardi 1, Gennaro Agrimi 2, Ulrich Goldmann 1, Giuseppe Fiume1, Sabrina Lindinger1, Vitaly Sedlyarov1, Ismet Srndic1, Bettina Gürtl1, Benedikt Agerer 1, Felix Kartnig1, Pasquale Scarcia 2, Maria Antonietta Di Noia2, Eva Liñeiro1, Manuele Rebsamen1, Tabea Wiedmer 1, Andreas Bergthaler1, ✉ Luigi Palmieri2,3 & Giulio Superti-Furga 1,4 1234567890():,; About a thousand genes in the human genome encode for membrane transporters. Among these, several solute carrier proteins (SLCs), representing the largest group of transporters, are still orphan and lack functional characterization. We reasoned that assessing genetic interactions among SLCs may be an efficient way to obtain functional information allowing their deorphanization. Here we describe a network of strong genetic interactions indicating a contribution to mitochondrial respiration and redox metabolism for SLC25A51/MCART1, an uncharacterized member of the SLC25 family of transporters. Through a combination of metabolomics, genomics and genetics approaches, we demonstrate a role for SLC25A51 as enabler of mitochondrial import of NAD, showcasing the potential of genetic interaction- driven functional gene deorphanization. 1 CeMM Research Center for Molecular Medicine of the Austrian Academy of Sciences, Vienna, Austria. 2 Laboratory of Biochemistry and Molecular Biology, Department of Biosciences, Biotechnologies and Biopharmaceutics,
    [Show full text]
  • Atypical Solute Carriers
    Digital Comprehensive Summaries of Uppsala Dissertations from the Faculty of Medicine 1346 Atypical Solute Carriers Identification, evolutionary conservation, structure and histology of novel membrane-bound transporters EMELIE PERLAND ACTA UNIVERSITATIS UPSALIENSIS ISSN 1651-6206 ISBN 978-91-513-0015-3 UPPSALA urn:nbn:se:uu:diva-324206 2017 Dissertation presented at Uppsala University to be publicly examined in B22, BMC, Husargatan 3, Uppsala, Friday, 22 September 2017 at 10:15 for the degree of Doctor of Philosophy (Faculty of Medicine). The examination will be conducted in English. Faculty examiner: Professor Carsten Uhd Nielsen (Syddanskt universitet, Department of Physics, Chemistry and Pharmacy). Abstract Perland, E. 2017. Atypical Solute Carriers. Identification, evolutionary conservation, structure and histology of novel membrane-bound transporters. Digital Comprehensive Summaries of Uppsala Dissertations from the Faculty of Medicine 1346. 49 pp. Uppsala: Acta Universitatis Upsaliensis. ISBN 978-91-513-0015-3. Solute carriers (SLCs) constitute the largest family of membrane-bound transporter proteins in humans, and they convey transport of nutrients, ions, drugs and waste over cellular membranes via facilitative diffusion, co-transport or exchange. Several SLCs are associated with diseases and their location in membranes and specific substrate transport makes them excellent as drug targets. However, as 30 % of the 430 identified SLCs are still orphans, there are yet numerous opportunities to explain diseases and discover potential drug targets. Among the novel proteins are 29 atypical SLCs of major facilitator superfamily (MFS) type. These share evolutionary history with the remaining SLCs, but are orphans regarding expression, structure and/or function. They are not classified into any of the existing 52 SLC families.
    [Show full text]
  • 36057 SNAT1/SLC38A1 (D9L2P) Rabbit Mab
    Revision 1 C 0 2 - t SNAT1/SLC38A1 (D9L2P) Rabbit mAb a e r o t S Orders: 877-616-CELL (2355) [email protected] 7 Support: 877-678-TECH (8324) 5 0 Web: [email protected] 6 www.cellsignal.com 3 # 3 Trask Lane Danvers Massachusetts 01923 USA For Research Use Only. Not For Use In Diagnostic Procedures. Applications: Reactivity: Sensitivity: MW (kDa): Source/Isotype: UniProt ID: Entrez-Gene Id: WB, IP H M R Endogenous 50, 70 Rabbit IgG Q9H2H9 81539 Product Usage Information 5. Melone, M. et al. (2004) Cereb Cortex 14, 562-74. 6. Kondoh, N. et al. (2007) Int J Oncol 31, 81-7. Application Dilution 7. Sidoryk, M. et al. (2004) Neuroreport 15, 575-8. 8. Wang, K. et al. (2013) BMC Cancer 13, 343. Western Blotting 1:1000 9. Burkhalter, J. et al. (2007) J Biol Chem 282, 5152-9. Immunoprecipitation 1:50 Storage Supplied in 10 mM sodium HEPES (pH 7.5), 150 mM NaCl, 100 µg/ml BSA, 50% glycerol and less than 0.02% sodium azide. Store at –20°C. Do not aliquot the antibody. Specificity / Sensitivity SNAT1/SLC38A1 (D9L2P) Rabbit mAb recognizes endogenous levels of total SNAT1/SLC38A1 protein. Species Reactivity: Human, Mouse, Rat Source / Purification Monoclonal antibody is produced by immunizing animals with a synthetic peptide corresponding to residues surrounding Gly37 of human SNAT1/SLC38A1 protein. Background SNAT1/SLC38A1 belongs to the system A transporters that mediate Na+-dependent transport of short-chain neutral amino acids such as alanine, serine, and glutamine. SNAT1 /SLC38A1 mediates the uptake of glutamine in neurons and plays a crucial role in glutamate-glutamine cycle.
    [Show full text]
  • SGK Blocking Peptide Catalog # Pbv10194b
    10320 Camino Santa Fe, Suite G San Diego, CA 92121 Tel: 858.875.1900 Fax: 858.622.0609 SGK Blocking Peptide Catalog # PBV10194b Specification SGK Blocking Peptide - Product Information Primary Accession O00141 Gene ID 6446 Calculated MW 48942 SGK Blocking Peptide - Additional Information Gene ID 6446 Application & Usage The peptide is used for blocking the antibody activity of SGK. It usually blocks the antibody activity completely in Western blot analysis by incubating the peptide with equal volume of antibody for 30-60 minutes at 37°C. Other Names Serine/threonine-protein kinase Sgk1, 2.7.11.1, Serum/glucocorticoid-regulated kinase 1, SGK1, SGK Target/Specificity SGK Formulation 50 µg (0.5 mg/ml) in phosphate buffered saline (PBS), pH 7.2, containing 0.1% BSA and 0.02% thimerosal. Reconstitution & Storage -20 °C Background Descriptions Precautions SGK Blocking Peptide is for research use only and not for use in diagnostic or therapeutic procedures. Page 1/4 10320 Camino Santa Fe, Suite G San Diego, CA 92121 Tel: 858.875.1900 Fax: 858.622.0609 SGK Blocking Peptide - Protein Information Name SGK1 Synonyms SGK Function Serine/threonine-protein kinase which is involved in the regulation of a wide variety of ion channels, membrane transporters, cellular enzymes, transcription factors, neuronal excitability, cell growth, proliferation, survival, migration and apoptosis. Plays an important role in cellular stress response. Contributes to regulation of renal Na(+) retention, renal K(+) elimination, salt appetite, gastric acid secretion, intestinal Na(+)/H(+) exchange and nutrient transport, insulin-dependent salt sensitivity of blood pressure, salt sensitivity of peripheral glucose uptake, cardiac repolarization and memory consolidation.
    [Show full text]
  • Supporting Information
    Supporting Information Table S1. List of confirmed SLC transporters represented in Canine GeneChip. SLC family Members detected Members not detected SLC1: The high affinity glutamate and neutral amino acid SLC1A1 SLC1A2, SLC1A3, SLC1A6 transporter family SLC2: The facilitative GLUT transporter family SLC2A1, SLC2A8 SLC2A3, SLC2A9 SLC3: The heavy subunits of the heteromeric amino acid SLC3A1 transporters SLC4: The bicarbonate transporter family SLC4A11 SLC4A4, SLC4A8 SLC5: The sodium glucose cotransporter family SLC5A6 SLC5A3, SLC5A10, SLC5A12 SLC6: The sodium- and chloride- dependent SLC6A6, SLC6A12 SLCA18 neurotransmitter transporter family SLC7: The cationic amino acid transporter/glycoprotein- NR associated family SLC8: The Na+/Ca2+ exchanger family SLC8A1 SLC9: The Na+/H+ exchanger family SLC9A1, SLC9A6, SLC9A9 SLC10: The sodium bile salt cotransport family SLC10A2 SLC11: The proton coupled metal ion transporter family NR SLC12: The electroneutral cation-Cl cotransporter family SLC12A3, SLC12A6, SLC12A8 SLC13: The human Na+-sulfate/carboxylate cotransporter SLC13A2 family SLC14: The urea transporter family NR SLC15: The proton oligopeptide cotransporter family SLC15A2, SLC15A4 SLC15A1 SLC16: The monocarboxylate transporter family SLC16A13 SLC16A4 SLC17: The vesicular glutamate transporter family SLC17A3, SLC17A7 SLC18: The vesicular amine transporter family NR SLC19: The folate/thiamine transporter family NR SLC20: The type III Na+-phosphate cotransporter family NR SLC21/SLCO: The organic anion transporting family SLC21A3, SLC21A8,
    [Show full text]
  • Amino Acid Transporters on the Guard of Cell Genome and Epigenome
    cancers Review Amino Acid Transporters on the Guard of Cell Genome and Epigenome U˘gurKahya 1,2 , Ay¸seSedef Köseer 1,2,3,4 and Anna Dubrovska 1,2,3,4,5,* 1 OncoRay–National Center for Radiation Research in Oncology, Faculty of Medicine and University Hospital Carl Gustav Carus, Technische Universität Dresden, Helmholtz-Zentrum Dresden-Rossendorf, 01309 Dresden, Germany; [email protected] (U.K.); [email protected] (A.S.K.) 2 Helmholtz-Zentrum Dresden-Rossendorf, Institute of Radiooncology-OncoRay, 01328 Dresden, Germany 3 National Center for Tumor Diseases (NCT), Partner Site Dresden and German Cancer Research Center (DKFZ), 69120 Heidelberg, Germany 4 Faculty of Medicine and University Hospital Carl Gustav Carus, Technische Universität Dresden, 01307 Dresden, Germany 5 German Cancer Consortium (DKTK), Partner Site Dresden and German Cancer Research Center (DKFZ), 69120 Heidelberg, Germany * Correspondence: [email protected]; Tel.: +49-351-458-7150 Simple Summary: Amino acid transporters play a multifaceted role in tumor initiation, progression, and therapy resistance. They are critical to cover the high energetic and biosynthetic needs of fast- growing tumors associated with increased proliferation rates and nutrient-poor environments. Many amino acid transporters are highly expressed in tumors compared to the adjacent normal tissues, and their expression correlates with tumor progression, clinical outcome, and treatment resistance. Tumor growth is driven by epigenetic and metabolic reprogramming and is associated with excessive production of reactive oxygen species causing the damage of vital macromolecules, including DNA. This review describes the role of the amino acid transporters in maintaining tumor redox homeostasis, DNA integrity, and epigenetic landscape under stress conditions and discusses them as potential targets for tumor imaging and treatment.
    [Show full text]
  • SLC6A19), a Potential Target to Induce Protein Restriction and to Treat Type 2 Diabetes
    Identification of Novel Inhibitors of the Amino Acid Transporter B0AT1 (SLC6A19), a Potential Target to Induce Protein Restriction and to Treat Type 2 Diabetes By QI CHENG A thesis submitted for the degree of Doctor of Philosophy of The Australian National University May, 2018 Copyright by Qi Cheng 2018 AUTHOR’S DECLARATION The results presented in this thesis are, except where explicitly acknowledged, the original work of the author. I certify that the substance of this thesis has not previously been, or is currently being submitted for any other degree or diploma. Qi Cheng (Author) Date ACKNOWLEDGEMENTS First and foremost, I would like to give my sincere thanks to my supervisor, Prof. Stefan Bröer, for his great support on my PhD research over the past four years. Stefan is always very kind to offer his help and provide his idea on my research plan, experimental design, and trouble shooting. I very much appreciate all the effort he has put into my PhD project and all the encouragements he has given to me. I would also like to thank my panels, A/Prof. Ben Corry and A/Prof. Kevin Saliba, for their helpful suggestions on my research proposals and plans. I really had a wonderful time with everyone in Broer’s Lab during my PhD. I would like to deeply thank Angelika Bröer, not only for her patience in guiding me in my experiments and teaching me those critical laboratory skills, but also for her huge support in my most difficult times. This compound screening project is based on a large-scale virtual screening done by Nishank Shah, who was co-authored with me to make our work published in a peer-reviewed journal.
    [Show full text]
  • Metabolic Network-Based Stratification of Hepatocellular Carcinoma Reveals Three Distinct Tumor Subtypes
    Metabolic network-based stratification of hepatocellular carcinoma reveals three distinct tumor subtypes Gholamreza Bidkhoria,b,1, Rui Benfeitasa,1, Martina Klevstigc,d, Cheng Zhanga, Jens Nielsene, Mathias Uhlena, Jan Borenc,d, and Adil Mardinoglua,b,e,2 aScience for Life Laboratory, KTH Royal Institute of Technology, SE-17121 Stockholm, Sweden; bCentre for Host-Microbiome Interactions, Dental Institute, King’s College London, SE1 9RT London, United Kingdom; cDepartment of Molecular and Clinical Medicine, University of Gothenburg, SE-41345 Gothenburg, Sweden; dThe Wallenberg Laboratory, Sahlgrenska University Hospital, SE-41345 Gothenburg, Sweden; and eDepartment of Biology and Biological Engineering, Chalmers University of Technology, SE-41296 Gothenburg, Sweden Edited by Sang Yup Lee, Korea Advanced Institute of Science and Technology, Daejeon, Republic of Korea, and approved November 1, 2018 (received for review April 27, 2018) Hepatocellular carcinoma (HCC) is one of the most frequent forms of of markers associated with recurrence and poor prognosis (13–15). liver cancer, and effective treatment methods are limited due to Moreover, genome-scale metabolic models (GEMs), collections tumor heterogeneity. There is a great need for comprehensive of biochemical reactions, and associated enzymes and transporters approaches to stratify HCC patients, gain biological insights into have been successfully used to characterize the metabolism of subtypes, and ultimately identify effective therapeutic targets. We HCC, as well as identify drug targets for HCC patients (11, 16–18). stratified HCC patients and characterized each subtype using tran- For instance, HCC tumors have been stratified based on the uti- scriptomics data, genome-scale metabolic networks and network lization of acetate (11). Analysis of HCC metabolism has also led topology/controllability analysis.
    [Show full text]
  • Genetic Ablation of the Cystine Transporter Xct in PDAC Cells Inhibits Mtorc1, Growth, Survival and Tumor Formation Via Nutrient and Oxidative Stresses
    Author Manuscript Published OnlineFirst on June 7, 2019; DOI: 10.1158/0008-5472.CAN-18-3855 Author manuscripts have been peer reviewed and accepted for publication but have not yet been edited. CAN-18-3855R2 Genetic ablation of the cystine transporter xCT in PDAC cells inhibits mTORC1, growth, survival and tumor formation via nutrient and oxidative stresses Daher Boutaina1, Parks Scott K.1, Durivault Jerome1, Cormerais Yann1, Baidarjad Hanane1, Tambutte Eric2, Pouysségur Jacques1,3, Vučetić Milica1 1Medical Biology department, 2Marine Biology department, Centre Scientifique de Monaco (CSM), Monaco 3 University Côte d’Azur, Institute for Research on Cancer & Aging (IRCAN), CNRS, INSERM, Centre A. Lacassagne, Nice, France Keywords: cystine/glutamate exchanger, SLC7A11, glutathione, mTORC1, ATF4, GCN2, oxidative stress, cancer, ferroptosis, PDAC Running Title: Genetic disruption of xCT in PDAC cells Co-corresponding authors: Jacques Pouyssegur: [email protected] Milica Vučetić: [email protected] Financial support: This work was supported by the government of Monaco, including thesis (BD) and post-doctoral (SKP) fellowships, and by 'Le Groupement des Entreprises Monégasques dans la Lutte contre le cancer' (GEMLUC) including post-doctoral fellowships (YC and MV). This project has also been, in part, supported by the University Côte d'Azur and Centre A. Lacassagne, Nice. We declare no conflict of interest for the study presented herewith. Each co-author has provided to AACR the corresponding signed form of conflict of interest. Downloaded from cancerres.aacrjournals.org on September 27, 2021. © 2019 American Association for Cancer Research. Author Manuscript Published OnlineFirst on June 7, 2019; DOI: 10.1158/0008-5472.CAN-18-3855 Author manuscripts have been peer reviewed and accepted for publication but have not yet been edited.
    [Show full text]