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KO Kidney.Xlsx
Supplemental Table 18: Dietary Impact on the CGL KO Kidney Sulfhydrome DR/AL Accession Molecular Cysteine Spectral Protein Name Number Alternate ID Weight Residues Count Ratio P‐value Ig gamma‐2A chain C region, A allele P01863 (+1) Ighg 36 kDa 10 C 5.952 0.03767 Heterogeneous nuclear ribonucleoprotein M Q9D0E1 (+1) Hnrnpm 78 kDa 6 C 5.000 0.00595 Phospholipase D3 O35405 Pld3 54 kDa 8 C 4.167 0.04761 Ig kappa chain V‐V region L7 (Fragment) P01642 Gm10881 13 kDa 2 C 2.857 0.01232 UPF0160 protein MYG1, mitochondrial Q9JK81 Myg1 43 kDa 7 C 2.333 0.01613 Copper homeostasis protein cutC homolog Q9D8X1 Cutc 29 kDa 7 C 10.333 0.16419 Corticosteroid‐binding globulin Q06770 Serpina6 45 kDa 3 C 10.333 0.16419 28S ribosomal protein S22, mitochondrial Q9CXW2 Mrps22 41 kDa 2 C 7.333 0.3739 Isoform 3 of Agrin A2ASQ1‐3 Agrn 198 kDa 2 C 7.333 0.3739 3‐oxoacyl‐[acyl‐carrier‐protein] synthase, mitochondrial Q9D404 Oxsm 49 kDa 11 C 7.333 0.3739 Cordon‐bleu protein‐like 1 Q3UMF0 (+3)Cobll1 137 kDa 10 C 5.833 0.10658 ADP‐sugar pyrophosphatase Q9JKX6 Nudt5 24 kDa 5 C 4.167 0.15819 Complement C4‐B P01029 C4b 193 kDa 29 C 3.381 0.23959 Protein‐glutamine gamma‐glutamyltransferase 2 P21981 Tgm2 77 kDa 20 C 3.381 0.23959 Isochorismatase domain‐containing protein 1 Q91V64 Isoc1 32 kDa 5 C 3.333 0.10588 Serpin B8 O08800 Serpinb8 42 kDa 11 C 2.903 0.06902 Heterogeneous nuclear ribonucleoprotein A0 Q9CX86 Hnrnpa0 31 kDa 3 C 2.667 0.5461 Proteasome subunit beta type‐8 P28063 Psmb8 30 kDa 5 C 2.583 0.36848 Ig kappa chain V‐V region MOPC 149 P01636 12 kDa 2 C 2.583 0.36848 -
IMPDH2: a New Gene Associated with Dominant Juvenile-Onset Dystonia-Tremor Disorder
www.nature.com/ejhg BRIEF COMMUNICATION OPEN IMPDH2: a new gene associated with dominant juvenile-onset dystonia-tremor disorder 1,8 1,8 2 3 1,4 2 5 Anna Kuukasjärvi , Juan✉ C. Landoni , Jyrki Kaukonen , Mika Juhakoski , Mari Auranen , Tommi Torkkeli , Vidya Velagapudi and Anu Suomalainen 1,6,7 © The Author(s) 2021 The aetiology of dystonia disorders is complex, and next-generation sequencing has become a useful tool in elucidating the variable genetic background of these diseases. Here we report a deleterious heterozygous truncating variant in the inosine monophosphate dehydrogenasegene(IMPDH2) by whole-exome sequencing, co-segregating with a dominantly inherited dystonia-tremor disease in a large Finnish family. We show that the defect results in degradation of the gene product, causing IMPDH2 deficiency in patient cells. IMPDH2 is the first and rate-limiting enzyme in the de novo biosynthesis of guanine nucleotides, a dopamine synthetic pathway previously linked to childhood or adolescence-onset dystonia disorders. We report IMPDH2 as a new gene to the dystonia disease entity. The evidence underlines the important link between guanine metabolism, dopamine biosynthesis and dystonia. European Journal of Human Genetics; https://doi.org/10.1038/s41431-021-00939-1 INTRODUCTION The disease-onset was between 9 and 20 years of age. Table 1 Dystonias are rare movement disorders characterised by sustained or summarises the clinical presentations. intermittent muscle contractions causing abnormal, often repetitive, movements and/or postures. Dystonia can manifest as an isolated Case report symptom or combined with e.g. parkinsonism or myoclonus [1]. While Patient II-6 is a 46-year-old woman. -
Type of the Paper (Article
Supplementary Material A Proteomics Study on the Mechanism of Nutmeg-induced Hepatotoxicity Wei Xia 1, †, Zhipeng Cao 1, †, Xiaoyu Zhang 1 and Lina Gao 1,* 1 School of Forensic Medicine, China Medical University, Shenyang 110122, P. R. China; lessen- [email protected] (W.X.); [email protected] (Z.C.); [email protected] (X.Z.) † The authors contributed equally to this work. * Correspondence: [email protected] Figure S1. Table S1. Peptide fraction separation liquid chromatography elution gradient table. Time (min) Flow rate (mL/min) Mobile phase A (%) Mobile phase B (%) 0 1 97 3 10 1 95 5 30 1 80 20 48 1 60 40 50 1 50 50 53 1 30 70 54 1 0 100 1 Table 2. Liquid chromatography elution gradient table. Time (min) Flow rate (nL/min) Mobile phase A (%) Mobile phase B (%) 0 600 94 6 2 600 83 17 82 600 60 40 84 600 50 50 85 600 45 55 90 600 0 100 Table S3. The analysis parameter of Proteome Discoverer 2.2. Item Value Type of Quantification Reporter Quantification (TMT) Enzyme Trypsin Max.Missed Cleavage Sites 2 Precursor Mass Tolerance 10 ppm Fragment Mass Tolerance 0.02 Da Dynamic Modification Oxidation/+15.995 Da (M) and TMT /+229.163 Da (K,Y) N-Terminal Modification Acetyl/+42.011 Da (N-Terminal) and TMT /+229.163 Da (N-Terminal) Static Modification Carbamidomethyl/+57.021 Da (C) 2 Table S4. The DEPs between the low-dose group and the control group. Protein Gene Fold Change P value Trend mRNA H2-K1 0.380 0.010 down Glutamine synthetase 0.426 0.022 down Annexin Anxa6 0.447 0.032 down mRNA H2-D1 0.467 0.002 down Ribokinase Rbks 0.487 0.000 -
B Number Gene Name Mrna Intensity Mrna
sample) total list predicted B number Gene name assignment mRNA present mRNA intensity Gene description Protein detected - Membrane protein membrane sample detected (total list) Proteins detected - Functional category # of tryptic peptides # of tryptic peptides # of tryptic peptides detected (membrane b0002 thrA 13624 P 39 P 18 P(m) 2 aspartokinase I, homoserine dehydrogenase I Metabolism of small molecules b0003 thrB 6781 P 9 P 3 0 homoserine kinase Metabolism of small molecules b0004 thrC 15039 P 18 P 10 0 threonine synthase Metabolism of small molecules b0008 talB 20561 P 20 P 13 0 transaldolase B Metabolism of small molecules chaperone Hsp70; DNA biosynthesis; autoregulated heat shock b0014 dnaK 13283 P 32 P 23 0 proteins Cell processes b0015 dnaJ 4492 P 13 P 4 P(m) 1 chaperone with DnaK; heat shock protein Cell processes b0029 lytB 1331 P 16 P 2 0 control of stringent response; involved in penicillin tolerance Global functions b0032 carA 9312 P 14 P 8 0 carbamoyl-phosphate synthetase, glutamine (small) subunit Metabolism of small molecules b0033 carB 7656 P 48 P 17 0 carbamoyl-phosphate synthase large subunit Metabolism of small molecules b0048 folA 1588 P 7 P 1 0 dihydrofolate reductase type I; trimethoprim resistance Metabolism of small molecules peptidyl-prolyl cis-trans isomerase (PPIase), involved in maturation of b0053 surA 3825 P 19 P 4 P(m) 1 GenProt outer membrane proteins (1st module) Cell processes b0054 imp 2737 P 42 P 5 P(m) 5 GenProt organic solvent tolerance Cell processes b0071 leuD 4770 P 10 P 9 0 isopropylmalate -
Identification of the Binding Site for Ammonia in GMP Reductase
Identification of the binding site for ammonia in GMP reductase Master’s Thesis Presented to The Faculty of the Graduate School of Arts and Sciences Brandeis University Department of Biology Lizbeth Hedstrom, Advisor In Partial Fulfillment of the Requirements for the Degree Master of Science in Molecular and Cell Biology by Tianjiong Yao February 2015 Copyright by Tianjiong Yao © 2015 ABSTRACT Identification of the binding site for ammonia in GMP reductase A thesis presented to the Department of Biology Graduate School of Arts and Sciences Brandeis University Waltham, Massachusetts By Tianjiong Yao The overall reaction of guanosine monophosphate reductase (GMPR) converts GMP to IMP by using NADPH as a cofactor and it includes two sub-steps: (1) a deamination step that releases ammonia from GMP and forms the intermediate E-XMP*; (2) a hydride transfer step that converts E-XMP* to IMP along with the oxidation of NADPH. The hydride transfer step is the rate limiting step, yet we failed to observe a burst of ammonia release. Meanwhile ammonia cannot stay in the same place where it is formed otherwise it will block NADPH. This observation suggests that ammonia remains bound to the enzyme during the hydride transfer step and there exists ammonia holding site after its release from the formation site. We identified a possible ammonia holding site by inspection of crystal structure of human GMPR type 2. Three candidate amino acids were selected and probed by site directed mutagenesis. The substitutions of all three residues decreased the reduction of GMP at least 50 fold and the oxidation of IMP at least 40 fold, and reduced the intermediate production at least 2 fold. -
(10) Patent No.: US 8119385 B2
US008119385B2 (12) United States Patent (10) Patent No.: US 8,119,385 B2 Mathur et al. (45) Date of Patent: Feb. 21, 2012 (54) NUCLEICACIDS AND PROTEINS AND (52) U.S. Cl. ........................................ 435/212:530/350 METHODS FOR MAKING AND USING THEMI (58) Field of Classification Search ........................ None (75) Inventors: Eric J. Mathur, San Diego, CA (US); See application file for complete search history. Cathy Chang, San Diego, CA (US) (56) References Cited (73) Assignee: BP Corporation North America Inc., Houston, TX (US) OTHER PUBLICATIONS c Mount, Bioinformatics, Cold Spring Harbor Press, Cold Spring Har (*) Notice: Subject to any disclaimer, the term of this bor New York, 2001, pp. 382-393.* patent is extended or adjusted under 35 Spencer et al., “Whole-Genome Sequence Variation among Multiple U.S.C. 154(b) by 689 days. Isolates of Pseudomonas aeruginosa” J. Bacteriol. (2003) 185: 1316 1325. (21) Appl. No.: 11/817,403 Database Sequence GenBank Accession No. BZ569932 Dec. 17. 1-1. 2002. (22) PCT Fled: Mar. 3, 2006 Omiecinski et al., “Epoxide Hydrolase-Polymorphism and role in (86). PCT No.: PCT/US2OO6/OOT642 toxicology” Toxicol. Lett. (2000) 1.12: 365-370. S371 (c)(1), * cited by examiner (2), (4) Date: May 7, 2008 Primary Examiner — James Martinell (87) PCT Pub. No.: WO2006/096527 (74) Attorney, Agent, or Firm — Kalim S. Fuzail PCT Pub. Date: Sep. 14, 2006 (57) ABSTRACT (65) Prior Publication Data The invention provides polypeptides, including enzymes, structural proteins and binding proteins, polynucleotides US 201O/OO11456A1 Jan. 14, 2010 encoding these polypeptides, and methods of making and using these polynucleotides and polypeptides. -
Supplementary Information
Supplementary information (a) (b) Figure S1. Resistant (a) and sensitive (b) gene scores plotted against subsystems involved in cell regulation. The small circles represent the individual hits and the large circles represent the mean of each subsystem. Each individual score signifies the mean of 12 trials – three biological and four technical. The p-value was calculated as a two-tailed t-test and significance was determined using the Benjamini-Hochberg procedure; false discovery rate was selected to be 0.1. Plots constructed using Pathway Tools, Omics Dashboard. Figure S2. Connectivity map displaying the predicted functional associations between the silver-resistant gene hits; disconnected gene hits not shown. The thicknesses of the lines indicate the degree of confidence prediction for the given interaction, based on fusion, co-occurrence, experimental and co-expression data. Figure produced using STRING (version 10.5) and a medium confidence score (approximate probability) of 0.4. Figure S3. Connectivity map displaying the predicted functional associations between the silver-sensitive gene hits; disconnected gene hits not shown. The thicknesses of the lines indicate the degree of confidence prediction for the given interaction, based on fusion, co-occurrence, experimental and co-expression data. Figure produced using STRING (version 10.5) and a medium confidence score (approximate probability) of 0.4. Figure S4. Metabolic overview of the pathways in Escherichia coli. The pathways involved in silver-resistance are coloured according to respective normalized score. Each individual score represents the mean of 12 trials – three biological and four technical. Amino acid – upward pointing triangle, carbohydrate – square, proteins – diamond, purines – vertical ellipse, cofactor – downward pointing triangle, tRNA – tee, and other – circle. -
Developmental Disorder Associated with Increased Cellular Nucleotidase Activity (Purine-Pyrimidine Metabolism͞uridine͞brain Diseases)
Proc. Natl. Acad. Sci. USA Vol. 94, pp. 11601–11606, October 1997 Medical Sciences Developmental disorder associated with increased cellular nucleotidase activity (purine-pyrimidine metabolismyuridineybrain diseases) THEODORE PAGE*†,ALICE YU‡,JOHN FONTANESI‡, AND WILLIAM L. NYHAN‡ Departments of *Neurosciences and ‡Pediatrics, University of California at San Diego, La Jolla, CA 92093 Communicated by J. Edwin Seegmiller, University of California at San Diego, La Jolla, CA, August 7, 1997 (received for review June 26, 1997) ABSTRACT Four unrelated patients are described with a represent defects of purine metabolism, although no specific syndrome that included developmental delay, seizures, ataxia, enzyme abnormality has been identified in these cases (6). In recurrent infections, severe language deficit, and an unusual none of these disorders has it been possible to delineate the behavioral phenotype characterized by hyperactivity, short mechanism through which the enzyme deficiency produces the attention span, and poor social interaction. These manifesta- neurological or behavioral abnormalities. Therapeutic strate- tions appeared within the first few years of life. Each patient gies designed to treat the behavioral and neurological abnor- displayed abnormalities on EEG. No unusual metabolites were malities of these disorders by replacing the supposed deficient found in plasma or urine, and metabolic testing was normal metabolites have not been successful in any case. except for persistent hypouricosuria. Investigation of purine This report describes four unrelated patients in whom and pyrimidine metabolism in cultured fibroblasts derived developmental delay, seizures, ataxia, recurrent infections, from these patients showed normal incorporation of purine speech deficit, and an unusual behavioral phenotype were bases into nucleotides but decreased incorporation of uridine. -
Supplements Inference of Cancer Mechanisms Through Computational Systems Analysis
Electronic Supplementary Material (ESI) for Molecular BioSystems. This journal is © The Royal Society of Chemistry 2017 Supplements Inference of Cancer Mechanisms through Computational Systems Analysis Zhen Qi and Eberhard O. Voit Mathematical model of purine metabolism in human. A published kinetic model of human purine metabolism was used as a computational platform; it consists of 16 ordinary differential equations with 37 fluxes 1, 2. In the literature, the fluxes were formulated either as traditional Michaelis-Menten kinetics or as power law functions under the tenets of Biochemical Systems Theory 3. Here we chose the latter. Many parameters were obtained from experimental and clinical data in humans, and the remaining values were estimated using biological constraints, such as the ratio of adenine and guanine in nucleic acids, which is approximately 3/2, or the fact that normal subjects excrete about 420 mg per day of UA in urine. A detailed analysis of the steady-state properties of the mathematical model demonstrated that the steady state is stable and robust. Analysis also showed that the model is not sensitive to parameter changes. Simulations of normal and pathological perturbations of purine metabolism yielded consistent results with some representative biochemical and clinical observations. All these analyses are described in great detail in the literature 3. Implementation of enzyme activities altered by cancer. Weber discovered several changes in the enzyme activities of purine metabolism in human renal carcinoma cells 4. The affected enzymes and their fold changes compared to normal kidney cells are listed in Table S4. These alterations are expected to result in changed metabolite levels between normal human cells and human renal cell carcinoma, which were computed with the mathematical model, and the values at the corresponding steady state are shown in Table 1 in the Text. -
Deciphering the Ovarian Proteomic Impacts of Obesity
Iowa State University Capstones, Theses and Graduate Theses and Dissertations Dissertations 2019 Deciphering the ovarian proteomic impacts of obesity Kendra Leah Clark Iowa State University Follow this and additional works at: https://lib.dr.iastate.edu/etd Part of the Genetics Commons Recommended Citation Clark, Kendra Leah, "Deciphering the ovarian proteomic impacts of obesity" (2019). Graduate Theses and Dissertations. 17659. https://lib.dr.iastate.edu/etd/17659 This Dissertation is brought to you for free and open access by the Iowa State University Capstones, Theses and Dissertations at Iowa State University Digital Repository. It has been accepted for inclusion in Graduate Theses and Dissertations by an authorized administrator of Iowa State University Digital Repository. For more information, please contact [email protected]. Deciphering the ovarian proteomic impacts of obesity by Kendra Leah Clark A dissertation submitted to the graduate faculty in partial fulfillment of the requirements for the degree of DOCTOR OF PHILOSOPHY Major: Genetics and Genomics Program of Study Committee: Aileen F. Keating, Major Professor Jeffrey J. Essner Donald S. Sakaguchi Jason W. Ross Geetu Tuteja The student author, whose presentation of the scholarship herein was approved by the program of study committee, is solely responsible for the content of this dissertation. The Graduate College will ensure this dissertation is globally accessible and will not permit alterations after a degree is conferred. Iowa State University Ames, Iowa 2019 Copyright © Kendra Leah Clark, 2019. All rights reserved. ii DEDICATION I dedicate this thesis to my children; whose presence gave me reason. Additionally, I dedicate this work to all the people out there with questionable pasts that everyone gave up on but who never gave up on themselves. -
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Comparison of Gene Expression Profiling in Pressure and Volume
1029 Hypertens Res Vol.29 (2006) No.12 p.1029-1045 Original Article Comparison of Gene Expression Profiling in Pressure and Volume Overload–Induced Myocardial Hypertrophies in Rats Hiroshi MIYAZAKI1), Naoki OKA1), Akimasa KOGA1), Haruya OHMURA1), Tamenobu UEDA1), and Tsutomu IMAIZUMI1),2) Gene expression profiling has been conducted in rat hearts subjected to pressure overload (PO). However, pressure and volume overload produce morphologically and functionally distinct forms of cardiac hypertro- phy. Surprisingly, gene expression profiling has not been reported for in an animal model of volume over- load (VO). We therefore compared the gene expression profiles in the hypertrophied myocardium of rats subjected to PO and VO using DNA chip technology (Affymetrix U34A). Constriction of the abdominal aorta and abdominal aortocaval shunting were used to induce PO and VO, respectively. The gene expression pro- files of the left ventricle (LV) 4 weeks after the procedure were analyzed by DNA chips. There were compa- rable increases in the left ventricular weight/body weight ratio in rats subjected to PO and VO. Echocardiography revealed concentric hypertrophy in the PO animals, but eccentric hypertrophy in the rats subjected to VO. The expressions of many genes were altered in VO, PO, or both. Among the genes that were upregulated in both forms of hypertrophy, greatly increased expressions of B-type natriuretic peptide, lysyl oxidase–like protein 1 and metallothionein-1 (MT) were confirmed by real-time reverse transcription– polymerase chain reaction (RT-PCR). Because free radicals are increased in the hypertrophied heart and may contribute to apoptosis, we examined the role of MT, a free radical scavenger, in apoptosis.