Cysteine Dioxygenase 1 Is a Metabolic Liability for Non-Small Cell Lung Cancer Authors: Yun Pyo Kang1, Laura Torrente1, Min Liu2, John M
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www.nature.com/scientificreports OPEN Comprehensive polar metabolomics and lipidomics profling discriminates the transformed from the non‑transformed state in colon tissue and cell lines Caroline Rombouts1,2,3, Margot De Spiegeleer1, Lieven Van Meulebroek1, Lynn Vanhaecke1,4,5* & Winnok H. De Vos3,5* Colorectal cancer (CRC) is the fourth most lethal disease worldwide. Despite an urgent need for therapeutic advance, selective target identifcation in a preclinical phase is hampered by molecular and metabolic variations between cellular models. To foster optimal model selection from a translational perspective, we performed untargeted ultra‑high performance liquid chromatography coupled to high‑resolution mass spectrometry‑based polar metabolomics and lipidomics to non‑ transformed (CCD841‑CON and FHC) and transformed (HCT116, HT29, Caco2, SW480 and SW948) colon cell lines as well as tissue samples from ten colorectal cancer patients. This unveiled metabolic signatures discriminating the transformed from the non‑transformed state. Metabolites involved in glutaminolysis, tryptophan catabolism, pyrimidine, lipid and carnitine synthesis were elevated in transformed cells and cancerous tissue, whereas those involved in the glycerol‑3‑phosphate shuttle, urea cycle and redox reactions were lowered. The degree of glutaminolysis and lipid synthesis was specifc to the colon cancer cell line at hand. Thus, our study exposed pathways that are specifcally associated with the transformation state and revealed diferences between colon cancer cell lines that should be considered when targeting cancer‑associated pathways. Colorectal cancer (CRC) is the second and third most diagnosed cancer in females and males, respectively, and the fourth leading cause of cancer-related mortality worldwide. Te incidence rates are strongly variable throughout the world, whereby developed regions have more CRC patients than less developed countries. -
Bioinorganic Chemistry of Nickel
inorganics Editorial Bioinorganic Chemistry of Nickel Michael J. Maroney 1,* and Stefano Ciurli 2,* 1 Department of Chemistry and Program in Molecular and Cellular Biology, University of Massachusetts Amherst, 240 Thatcher Rd. Life Sciences, Laboratory Rm N373, Amherst, MA 01003, USA 2 Laboratory of Bioinorganic Chemistry, Department of Pharmacy and Biotechnology, University of Bologna, Viale G. Fanin 40, I-40127 Bologna, Italy * Correspondence: [email protected] (M.J.M.); [email protected] (S.C.) Received: 11 October 2019; Accepted: 11 October 2019; Published: 30 October 2019 Following the discovery of the first specific and essential role of nickel in biology in 1975 (the dinuclear active site of the enzyme urease) [1], nickel has become a major player in bioinorganic chemistry,particularly in microorganisms, having impacts on both environmental settings and human pathologies. At least nine classes of enzymes are now known to require nickel in their active sites, including catalysis of redox [(Ni,Fe) hydrogenases, carbon monoxide dehydrogenase, methyl coenzyme M reductase, acetyl coenzyme A synthase, superoxide dismutase] and nonredox (glyoxalase I, acireductone dioxygenase, lactate isomerase, urease) chemistries. In addition, the dark side of nickel has been illuminated in regard to its participation in microbial pathogenesis, cancer, and immune responses. Knowledge gleaned from the investigations of inorganic chemists into the coordination and redox chemistry of this element have boosted the understanding of these biological roles of nickel in each context. In this issue, eleven contributions, including four original research articles and seven critical reviews, will update the reader on the broad spectrum of the role of nickel in biology. -
Methionine + Cystine Levels and Vitamin B6 Supplementation on Performance and Enzyme Expression of Methionine Metabolism of Gilts from 75 to 100 Kg
Revista Brasileira de Zootecnia Brazilian Journal of Animal Science © 2017 Sociedade Brasileira de Zootecnia ISSN 1806-9290 R. Bras. Zootec., 46(3):223-230, 2017 www.sbz.org.br Methionine + cystine levels and vitamin B6 supplementation on performance and enzyme expression of methionine metabolism of gilts from 75 to 100 kg Cleiton Pagliari Sangali1*, Eliane Gasparino2, Ricardo Souza Vasconcellos2, Marcelise Regina Fachinello1, Alessandra Nardina Trícia Rigo Monteiro1, Lucas Antonio Costa Esteves1, Lucas Pimentel Bonagurio1, Paulo Cesar Pozza2 1 Universidade Estadual de Maringá, Programa de Pós-graduação em Zootecnia, Maringá, PR, Brazil. 2 Universidade Estadual de Maringá, Departamento de Zootecnia, Maringá, PR, Brazil. ABSTRACT - This study was carried out to evaluate the effect of different levels of standardized ileal digestible (SID) methionine + cystine (Met+Cys) and vitamin B6 supplementation on the performance, blood variables, and gene expression of enzymes involved in methionine metabolism in female pigs between 75 and 100 kg. Fifty six female pigs were used (Talent × Topigs 20), averaging 75.06±1.68 kg in initial weight, allotted in a completely randomized block design arranged in a 2 × 4 factorial scheme, composed of two vitamin B6 supplementation levels (1.58 and 3.58 mg/kg) and four levels of SID Met+Cys (0.370, 0.470, 0.570, and 0.670%), with seven replicates and one animal per experimental unit. No interactions between vitamin B6 supplementation and SID Met+Cys levels were observed. The levels of SID Met+Cys and vitamin B6 supplementation did not affect animal performance. Triacylglycerols showed a quadratic response to the SID Met+Cys levels, in which the lowest plasma concentration was estimated as 0.575%. -
RT² Profiler PCR Array (Rotor-Gene® Format) Human Amino Acid Metabolism I
RT² Profiler PCR Array (Rotor-Gene® Format) Human Amino Acid Metabolism I Cat. no. 330231 PAHS-129ZR For pathway expression analysis Format For use with the following real-time cyclers RT² Profiler PCR Array, Rotor-Gene Q, other Rotor-Gene cyclers Format R Description The Human Amino Acid Metabolism I RT² Profiler PCR Array profiles the expression of 84 key genes important in biosynthesis and degradation of functional amino acids. Of the 20 amino acids required for protein synthesis, six of them (arginine, cysteine, glutamine, leucine, proline, and tryptophan), collectively known as the functional amino acids, regulate key metabolic pathways involved in cellular growth, and development, as well as other important biological processes such as immunity and reproduction. For example, leucine activates mTOR signaling and increases protein synthesis, leading to lymphocyte proliferation. Therefore, a lack of leucine can compromise immune function. Metabolic pathways interrelated with the biosynthesis and degradation of these amino acids include vitamin and cofactor biosynthesis (such as SAM or S-Adenosyl Methionine) as well as neurotransmitter metabolism (such as glutamate). This array includes genes for mammalian functional amino acid metabolism as well as genes involved in methionine metabolism, important also for nutrient sensing and sulfur metabolism. Using realtime PCR, you can easily and reliably analyze the expression of a focused panel of genes involved in functional amino acid metabolism with this array. For further details, consult the RT² Profiler PCR Array Handbook. Shipping and storage RT² Profiler PCR Arrays in the Rotor-Gene format are shipped at ambient temperature, on dry ice, or blue ice packs depending on destination and accompanying products. -
Indoleamine 2,3-Dioxygenase and Its Therapeutic Inhibition in Cancer George C
View metadata, citation and similar papers at core.ac.uk brought to you by CORE provided by Scholarship, Research, and Creative Work at Bryn Mawr College | Bryn Mawr College... Bryn Mawr College Scholarship, Research, and Creative Work at Bryn Mawr College Chemistry Faculty Research and Scholarship Chemistry 2018 Indoleamine 2,3-Dioxygenase and Its Therapeutic Inhibition in Cancer George C. Prendergast William Paul Malachowski Bryn Mawr College, [email protected] Arpita Mondal Peggy Scherle Alexander J. Muller Let us know how access to this document benefits ouy . Follow this and additional works at: https://repository.brynmawr.edu/chem_pubs Part of the Chemistry Commons Custom Citation George C. Prendergast, William J. Malachowski, Arpita Mondal, Peggy Scherle, and Alexander J. Muller. 2018. "Indoleamine 2,3-Dioxygenase and Its Therapeutic Inhibition in Cancer." International Review of Cell and Molecular Biology 336: 175-203. This paper is posted at Scholarship, Research, and Creative Work at Bryn Mawr College. https://repository.brynmawr.edu/chem_pubs/25 For more information, please contact [email protected]. Indoleamine 2,3-Dioxygenase and Its Therapeutic Inhibition in Cancer George C. Prendergast, William, Malachowski, Arpita Mondal, Peggy Scherle, and Alexander J. Muller International Review of Cell and Molecular Biology 336: 175-203. http://doi.org/10.1016/bs.ircmb.2017.07.004 ABSTRACT The tryptophan catabolic enzyme indoleamine 2,3-dioxygenase-1 (IDO1) has attracted enormous attention in driving cancer immunosuppression, neovascularization, and metastasis. IDO1 suppresses local CD8+ T effector cells and natural killer cells and induces CD4+ T regulatory cells (iTreg) and myeloid-derived suppressor cells (MDSC). The structurally distinct enzyme tryptophan dioxygenase (TDO) also has been implicated recently in immune escape and metastatic progression. -
The Different Catalytic Roles of the Metal Binding Ligands in Human 4- Hydroxyphenylpyruvate Dioxygenase
Citation for published version: Huang, C-W, Liu, H-C, Shen, C-P, Chen, Y-T, Lee, S-J, Lloyd, MD & Lee, H-J 2016, 'The different catalytic roles of the metal- binding ligands in human 4-hydroxyphenylpyruvate dioxygenase', Biochemical Journal, vol. 473, no. 9, pp. 1179-1189. https://doi.org/10.1042/BCJ20160146 DOI: 10.1042/BCJ20160146 Publication date: 2016 Document Version Peer reviewed version Link to publication Publisher Rights Unspecified University of Bath Alternative formats If you require this document in an alternative format, please contact: [email protected] General rights Copyright and moral rights for the publications made accessible in the public portal are retained by the authors and/or other copyright owners and it is a condition of accessing publications that users recognise and abide by the legal requirements associated with these rights. Take down policy If you believe that this document breaches copyright please contact us providing details, and we will remove access to the work immediately and investigate your claim. Download date: 28. Sep. 2021 BIOCHEMICAL JOURNAL ACCEPTED MANUSCRIPT The different catalytic roles of the metal binding ligands in human 4- hydroxyphenylpyruvate dioxygenase Chih‐Wei Huang, Hsiu‐Chen Liu, Chia‐Pei Shen, Yi‐Tong Chen, Sung‐Jai Lee, Matthew D. Lloyd, and Hwei‐Jen Lee 4‐Hydroxylphenylpyruvate dioxygenase (HPPD) is a non‐haem iron(II)‐dependent oxygenase that catalyzes the conversion of 4‐hydroxylphenylpyruvate (HPP) to homogentisate (HG). In the active site, a strictly conserved 2‐His‐1‐Glu facial triad coordinates the iron ready for catalysis. Substitution of these residues resulted in about a 10‐fold decrease in the metal binding affinity, as measured by isothermal titration calorimetry, and a large reduction in enzyme catalytic efficiencies. -
1 Abietic Acid R Abrasive Silica for Polishing DR Acenaphthene M (LC
1 abietic acid R abrasive silica for polishing DR acenaphthene M (LC) acenaphthene quinone R acenaphthylene R acetal (see 1,1-diethoxyethane) acetaldehyde M (FC) acetaldehyde-d (CH3CDO) R acetaldehyde dimethyl acetal CH acetaldoxime R acetamide M (LC) acetamidinium chloride R acetamidoacrylic acid 2- NB acetamidobenzaldehyde p- R acetamidobenzenesulfonyl chloride 4- R acetamidodeoxythioglucopyranose triacetate 2- -2- -1- -β-D- 3,4,6- AB acetamidomethylthiazole 2- -4- PB acetanilide M (LC) acetazolamide R acetdimethylamide see dimethylacetamide, N,N- acethydrazide R acetic acid M (solv) acetic anhydride M (FC) acetmethylamide see methylacetamide, N- acetoacetamide R acetoacetanilide R acetoacetic acid, lithium salt R acetobromoglucose -α-D- NB acetohydroxamic acid R acetoin R acetol (hydroxyacetone) R acetonaphthalide (α)R acetone M (solv) acetone ,A.R. M (solv) acetone-d6 RM acetone cyanohydrin R acetonedicarboxylic acid ,dimethyl ester R acetonedicarboxylic acid -1,3- R acetone dimethyl acetal see dimethoxypropane 2,2- acetonitrile M (solv) acetonitrile-d3 RM acetonylacetone see hexanedione 2,5- acetonylbenzylhydroxycoumarin (3-(α- -4- R acetophenone M (LC) acetophenone oxime R acetophenone trimethylsilyl enol ether see phenyltrimethylsilyl... acetoxyacetone (oxopropyl acetate 2-) R acetoxybenzoic acid 4- DS acetoxynaphthoic acid 6- -2- R 2 acetylacetaldehyde dimethylacetal R acetylacetone (pentanedione -2,4-) M (C) acetylbenzonitrile p- R acetylbiphenyl 4- see phenylacetophenone, p- acetyl bromide M (FC) acetylbromothiophene 2- -5- -
Muscle Regeneration Controlled by a Designated DNA Dioxygenase
Wang et al. Cell Death and Disease (2021) 12:535 https://doi.org/10.1038/s41419-021-03817-2 Cell Death & Disease ARTICLE Open Access Muscle regeneration controlled by a designated DNA dioxygenase Hongye Wang1, Yile Huang2,MingYu3,YangYu1, Sheng Li4, Huating Wang2,5,HaoSun2,5,BingLi 3, Guoliang Xu6,7 andPingHu4,8,9 Abstract Tet dioxygenases are responsible for the active DNA demethylation. The functions of Tet proteins in muscle regeneration have not been well characterized. Here we find that Tet2, but not Tet1 and Tet3, is specifically required for muscle regeneration in vivo. Loss of Tet2 leads to severe muscle regeneration defects. Further analysis indicates that Tet2 regulates myoblast differentiation and fusion. Tet2 activates transcription of the key differentiation modulator Myogenin (MyoG) by actively demethylating its enhancer region. Re-expressing of MyoG in Tet2 KO myoblasts rescues the differentiation and fusion defects. Further mechanistic analysis reveals that Tet2 enhances MyoD binding by demethylating the flanking CpG sites of E boxes to facilitate the recruitment of active histone modifications and increase chromatin accessibility and activate its transcription. These findings shed new lights on DNA methylation and pioneer transcription factor activity regulation. Introduction Ten-Eleven Translocation (Tet) family of DNA dioxy- 1234567890():,; 1234567890():,; 1234567890():,; 1234567890():,; Skeletal muscles can regenerate due to the existence of genases catalyze the active DNA demethylation and play muscle stem cells (MuSCs)1,2. The normally quiescent critical roles in embryonic development, neural regen- MuSCs are activated after muscle injury and further dif- eration, oncogenesis, aging, and many other important – ferentiate to support muscle regeneration3,4. -
Supplementary Table S4. FGA Co-Expressed Gene List in LUAD
Supplementary Table S4. FGA co-expressed gene list in LUAD tumors Symbol R Locus Description FGG 0.919 4q28 fibrinogen gamma chain FGL1 0.635 8p22 fibrinogen-like 1 SLC7A2 0.536 8p22 solute carrier family 7 (cationic amino acid transporter, y+ system), member 2 DUSP4 0.521 8p12-p11 dual specificity phosphatase 4 HAL 0.51 12q22-q24.1histidine ammonia-lyase PDE4D 0.499 5q12 phosphodiesterase 4D, cAMP-specific FURIN 0.497 15q26.1 furin (paired basic amino acid cleaving enzyme) CPS1 0.49 2q35 carbamoyl-phosphate synthase 1, mitochondrial TESC 0.478 12q24.22 tescalcin INHA 0.465 2q35 inhibin, alpha S100P 0.461 4p16 S100 calcium binding protein P VPS37A 0.447 8p22 vacuolar protein sorting 37 homolog A (S. cerevisiae) SLC16A14 0.447 2q36.3 solute carrier family 16, member 14 PPARGC1A 0.443 4p15.1 peroxisome proliferator-activated receptor gamma, coactivator 1 alpha SIK1 0.435 21q22.3 salt-inducible kinase 1 IRS2 0.434 13q34 insulin receptor substrate 2 RND1 0.433 12q12 Rho family GTPase 1 HGD 0.433 3q13.33 homogentisate 1,2-dioxygenase PTP4A1 0.432 6q12 protein tyrosine phosphatase type IVA, member 1 C8orf4 0.428 8p11.2 chromosome 8 open reading frame 4 DDC 0.427 7p12.2 dopa decarboxylase (aromatic L-amino acid decarboxylase) TACC2 0.427 10q26 transforming, acidic coiled-coil containing protein 2 MUC13 0.422 3q21.2 mucin 13, cell surface associated C5 0.412 9q33-q34 complement component 5 NR4A2 0.412 2q22-q23 nuclear receptor subfamily 4, group A, member 2 EYS 0.411 6q12 eyes shut homolog (Drosophila) GPX2 0.406 14q24.1 glutathione peroxidase -
Supplementary Data
Metabolomics in cancer research: Supplementary data 1 Supplementary Data 2 Supplementary methods 3 Additional information regarding the search strategy used in the main paper 4 Supplementary tables 5 Supplementary Table 1: List of reported metabolites to be altered in human cancers 6 Supplementary figures 7 Supplementary Figure 1: General overview over the metabolomics workflow 8 1 Metabolomics in cancer research: Supplementary data 9 Supplementary methods 10 Search strategy 11 The search strategy was described in the main paper. For the Web of Knowledge search an 12 additional refinement step was necessary to reduce irrelevant findings. The following research 13 areas of low relevance were excluded: 14 Plant Science, Biophysics, Agriculture, Environmental Sciences Ecology, Microbiology, 15 Computer Science, Mathematics, Cardiology, Engineering, Automation control Systems, 16 Marine Freshwater Biology, Behavioral Science, Physics, Developmental Biology, Zoology, 17 Psychiatry, Energy Fuels, Infectious Disease, Parasitology, Mycology, Rheumatology, 18 Psychology, Veterinary Sciences, Dentistry, Legal Medicine, Polymer Science, 19 Anesthesiology, Robotics, Sports Science, Forestry, Tropical Medicine, Virology, Water 20 Resources, Electrochemistry, Evolutionary Biology, Fisheries, Materials Science, 21 Oceanography, Substance Abuse, Geology, Nuclear Science Technology, Operations 22 Research Management, Orthopedics, Allergy, Biodiversity, Educational Research, 23 Metallurgy, Optics, Emergency Medicine, Geochemistry, History philosophy of science, 24 Mathematical methods in Social sciences, Mechanics, Social Issues, Thermodynamics 25 Additionally the abstracts had to contain one of the following keywords: 26 “MS” OR “mass spectrometry” OR “patients”. 2 Metabolomics in cancer research: Supplementary data 27 Supplementary tables 28 Supplementary Table 1: List of reported metabolites altered in human cancers. Metabolites in bold were reported from a study that validated 29 findings within an independent study population. -
Relating Metatranscriptomic Profiles to the Micropollutant
1 Relating Metatranscriptomic Profiles to the 2 Micropollutant Biotransformation Potential of 3 Complex Microbial Communities 4 5 Supporting Information 6 7 Stefan Achermann,1,2 Cresten B. Mansfeldt,1 Marcel Müller,1,3 David R. Johnson,1 Kathrin 8 Fenner*,1,2,4 9 1Eawag, Swiss Federal Institute of Aquatic Science and Technology, 8600 Dübendorf, 10 Switzerland. 2Institute of Biogeochemistry and Pollutant Dynamics, ETH Zürich, 8092 11 Zürich, Switzerland. 3Institute of Atmospheric and Climate Science, ETH Zürich, 8092 12 Zürich, Switzerland. 4Department of Chemistry, University of Zürich, 8057 Zürich, 13 Switzerland. 14 *Corresponding author (email: [email protected] ) 15 S.A and C.B.M contributed equally to this work. 16 17 18 19 20 21 This supporting information (SI) is organized in 4 sections (S1-S4) with a total of 10 pages and 22 comprises 7 figures (Figure S1-S7) and 4 tables (Table S1-S4). 23 24 25 S1 26 S1 Data normalization 27 28 29 30 Figure S1. Relative fractions of gene transcripts originating from eukaryotes and bacteria. 31 32 33 Table S1. Relative standard deviation (RSD) for commonly used reference genes across all 34 samples (n=12). EC number mean fraction bacteria (%) RSD (%) RSD bacteria (%) RSD eukaryotes (%) 2.7.7.6 (RNAP) 80 16 6 nda 5.99.1.2 (DNA topoisomerase) 90 11 9 nda 5.99.1.3 (DNA gyrase) 92 16 10 nda 1.2.1.12 (GAPDH) 37 39 6 32 35 and indicates not determined. 36 37 38 39 S2 40 S2 Nitrile hydration 41 42 43 44 Figure S2: Pearson correlation coefficients r for rate constants of bromoxynil and acetamiprid with 45 gene transcripts of ECs describing nucleophilic reactions of water with nitriles. -
Transcriptomic and Proteomic Profiling Provides Insight Into
BASIC RESEARCH www.jasn.org Transcriptomic and Proteomic Profiling Provides Insight into Mesangial Cell Function in IgA Nephropathy † † ‡ Peidi Liu,* Emelie Lassén,* Viji Nair, Celine C. Berthier, Miyuki Suguro, Carina Sihlbom,§ † | † Matthias Kretzler, Christer Betsholtz, ¶ Börje Haraldsson,* Wenjun Ju, Kerstin Ebefors,* and Jenny Nyström* *Department of Physiology, Institute of Neuroscience and Physiology, §Proteomics Core Facility at University of Gothenburg, University of Gothenburg, Gothenburg, Sweden; †Division of Nephrology, Department of Internal Medicine and Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, Michigan; ‡Division of Molecular Medicine, Aichi Cancer Center Research Institute, Nagoya, Japan; |Department of Immunology, Genetics and Pathology, Uppsala University, Uppsala, Sweden; and ¶Integrated Cardio Metabolic Centre, Karolinska Institutet Novum, Huddinge, Sweden ABSTRACT IgA nephropathy (IgAN), the most common GN worldwide, is characterized by circulating galactose-deficient IgA (gd-IgA) that forms immune complexes. The immune complexes are deposited in the glomerular mesangium, leading to inflammation and loss of renal function, but the complete pathophysiology of the disease is not understood. Using an integrated global transcriptomic and proteomic profiling approach, we investigated the role of the mesangium in the onset and progression of IgAN. Global gene expression was investigated by microarray analysis of the glomerular compartment of renal biopsy specimens from patients with IgAN (n=19) and controls (n=22). Using curated glomerular cell type–specific genes from the published literature, we found differential expression of a much higher percentage of mesangial cell–positive standard genes than podocyte-positive standard genes in IgAN. Principal coordinate analysis of expression data revealed clear separation of patient and control samples on the basis of mesangial but not podocyte cell–positive standard genes.