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Dehydrogenase Gene of Entamoeba Histolytica
Proc. Nad. Acad. Sci. USA Vol. 89, pp. 10188-10192, November 1992 Medical Sciences Cloning and expression of an NADP+-dependent alcohol dehydrogenase gene of Entamoeba histolytica (amebiasis/protozoan parasite/fermentation/inhibitors) AJIT KUMAR*, PEI-SHEN SHENtt, STEVEN DESCOTEAUX*, JAN POHL§, GORDON BAILEYt, AND JOHN SAMUELSON*1II *Department of Tropical Public Health, Harvard School of Public Health, Boston, MA 02115; tDepartment of Biochemistry, Morehouse School of Medicine, Atlanta, GA 30310; §Microchemical Facility, Emory University, Atlanta, GA 30322; and 'Department of Pathology, New England Deaconess Hospital, Boston, MA 02215 Communicated by Elkan Blout, June 29, 1992 (receivedfor review May 1, 1992) ABSTRACT Ethanol is the major metabolic product of NAD(P)+ so that the reducing equivalents are regenerated glucose fermentation by the protozoan parasite Entmoeba (4-7). Both NADP+-dependent and NAD+-dependent alco- histolytica under the anaerobic conditions found in the lumen hol dehydrogenase (ADH) activities have been identified in of the colon. Here an internal peptide sequence determined E. histolytica trophozoites (4-7). The NADP+-dependent from a major 39-kDa amoeba protein isolated by isoeLtric ADH (EhADHi; EC 1.1.1.2) was found to be composed of focusing followed by SDS/PAGE was used to clone the gene for four -30-kDa subunits, prefer secondary alcohols to primary the E. histolytica NADP+-dependent alcohol dehydrogenase alcohols, and be inhibited by the substrate analogue pyrazole (EhADH1; EC 1.1.1.2). The EhADHi clone had an open (7). The amoeba NAD+-dependent ADH (EC 1.1.1.1) is not reading frame that was 360 amino acids long and encoded a well-characterized (4). -
The Failure of Two Major Formaldehyde Catabolism Enzymes (ADH5 and ALDH2) Leads to Partial Synthetic Lethality in C57BL/ 6 Mice Jun Nakamura1,2*, Darcy W
Nakamura et al. Genes and Environment (2020) 42:21 https://doi.org/10.1186/s41021-020-00160-4 SHORT REPORT Open Access The failure of two major formaldehyde catabolism enzymes (ADH5 and ALDH2) leads to partial synthetic lethality in C57BL/ 6 mice Jun Nakamura1,2*, Darcy W. Holley3, Toshihiro Kawamoto4 and Scott J. Bultman3 Abstract Background: Exogenous formaldehyde is classified by the IARC as a Category 1 known human carcinogen. Meanwhile, a significant amount of endogenous formaldehyde is produced in the human body; as such, formaldehyde-derived DNA and protein adducts have been detected in animals and humans in the absence of major exogenous formaldehyde exposure. However, the toxicological effects of endogenous formaldehyde on individuals with normal DNA damage repair functions are not well understood. In this study, we attempted to generate C57BL/6 mice deficient in both Adh5 and Aldh2, which encode two major enzymes that metabolize endogenous formaldehyde, in order to understand the effects of endogenous formaldehyde on mice with normal DNA repair function. Results: Due to deficiencies in both ADH5 and ALDH2, few mice survived past post-natal day 21. In fact, the survival of pups within the first few days after birth was significantly decreased. Remarkably, two Aldh2−/−/Adh5−/− mice survived for 25 days after birth, and we measured their total body weight and organ weights. The body weight of Aldh2−/−/Adh5−/− mice decreased significantly by almost 37% compared to the Aldh2−/−/Adh5+/− and Aldh2−/−/Adh5+/+ mice of the same litter. In addition, the absolute weight of each organ was also significantly reduced. Conclusion: Mice deficient in both formaldehyde-metabolizing enzymes ADH5 and ALDH2 were found to develop partial synthetic lethality and mortality shortly after birth. -
Mouse Adh4 Knockout Project (CRISPR/Cas9)
https://www.alphaknockout.com Mouse Adh4 Knockout Project (CRISPR/Cas9) Objective: To create a Adh4 knockout Mouse model (C57BL/6J) by CRISPR/Cas-mediated genome engineering. Strategy summary: The Adh4 gene (NCBI Reference Sequence: NM_011996 ; Ensembl: ENSMUSG00000037797 ) is located on Mouse chromosome 3. 9 exons are identified, with the ATG start codon in exon 1 and the TGA stop codon in exon 9 (Transcript: ENSMUST00000013458). Exon 2~7 will be selected as target site. Cas9 and gRNA will be co-injected into fertilized eggs for KO Mouse production. The pups will be genotyped by PCR followed by sequencing analysis. Note: Exon 2 starts from about 1.68% of the coding region. Exon 2~7 covers 84.17% of the coding region. The size of effective KO region: ~9976 bp. The KO region does not have any other known gene. Page 1 of 8 https://www.alphaknockout.com Overview of the Targeting Strategy Wildtype allele 5' gRNA region gRNA region 3' 1 2 3 4 5 6 7 9 Legends Exon of mouse Adh4 Knockout region Page 2 of 8 https://www.alphaknockout.com Overview of the Dot Plot (up) Window size: 15 bp Forward Reverse Complement Sequence 12 Note: The 2000 bp section upstream of Exon 2 is aligned with itself to determine if there are tandem repeats. No significant tandem repeat is found in the dot plot matrix. So this region is suitable for PCR screening or sequencing analysis. Overview of the Dot Plot (down) Window size: 15 bp Forward Reverse Complement Sequence 12 Note: The 936 bp section downstream of Exon 7 is aligned with itself to determine if there are tandem repeats. -
Age-Dependent Protein Abundance of Cytosolic Alcohol and Aldehyde Dehydrogenases in Human Liver S
Supplemental material to this article can be found at: http://dmd.aspetjournals.org/content/suppl/2017/08/21/dmd.117.076463.DC2 http://dmd.aspetjournals.org/content/suppl/2017/06/12/dmd.117.076463.DC1 1521-009X/45/9/1044–1048$25.00 https://doi.org/10.1124/dmd.117.076463 DRUG METABOLISM AND DISPOSITION Drug Metab Dispos 45:1044–1048, September 2017 Copyright ª 2017 by The American Society for Pharmacology and Experimental Therapeutics Age-dependent Protein Abundance of Cytosolic Alcohol and Aldehyde Dehydrogenases in Human Liver s Deepak Kumar Bhatt, Andrea Gaedigk, Robin E. Pearce, J. Steven Leeder, and Bhagwat Prasad Department of Pharmaceutics, University of Washington, Seattle, Washington (D.K.B., B.P.); Department of Clinical Pharmacology, Toxicology & Therapeutic Innovation, Children’s Mercy-Kansas City, Missouri and School of Medicine, University of Missouri-Kansas City, Kansas City, Missouri (A.G., R.E.P., J.S.L.) Received April 21, 2017; accepted June 5, 2017 ABSTRACT Hepatic cytosolic alcohol and aldehyde dehydrogenases (ADHs and the adult levels, respectively. For all proteins, the abundance steeply ALDHs) catalyze the biotransformation of xenobiotics (e.g., cyclo- increased during the first year of life, which mostly reached adult Downloaded from phosphamide and ethanol) and vitamin A. Because age-dependent levels during early childhood (age between 1 and 6 years). Only for hepatic abundance of these proteins is unknown, we quantified ADH1A protein abundance in adults (age > 18 year) was ∼40% lower protein expression of ADHs and ALDH1A1 in a large cohort of pediatric relative to the early childhood group. Abundances of ADHs and and adult human livers by liquid chromatography coupled with tandem ALDH1A1 were not associated with sex in samples with age > 1 year mass spectrometry proteomics. -
Variation in Protein Coding Genes Identifies Information
bioRxiv preprint doi: https://doi.org/10.1101/679456; this version posted June 21, 2019. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under aCC-BY-NC-ND 4.0 International license. Animal complexity and information flow 1 1 2 3 4 5 Variation in protein coding genes identifies information flow as a contributor to 6 animal complexity 7 8 Jack Dean, Daniela Lopes Cardoso and Colin Sharpe* 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 Institute of Biological and Biomedical Sciences 25 School of Biological Science 26 University of Portsmouth, 27 Portsmouth, UK 28 PO16 7YH 29 30 * Author for correspondence 31 [email protected] 32 33 Orcid numbers: 34 DLC: 0000-0003-2683-1745 35 CS: 0000-0002-5022-0840 36 37 38 39 40 41 42 43 44 45 46 47 48 49 Abstract bioRxiv preprint doi: https://doi.org/10.1101/679456; this version posted June 21, 2019. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under aCC-BY-NC-ND 4.0 International license. Animal complexity and information flow 2 1 Across the metazoans there is a trend towards greater organismal complexity. How 2 complexity is generated, however, is uncertain. Since C.elegans and humans have 3 approximately the same number of genes, the explanation will depend on how genes are 4 used, rather than their absolute number. -
Alcohol-Responsive Genes Identified in Human Ipsc-Derived Neural Cultures
bioRxiv preprint doi: https://doi.org/10.1101/381673; this version posted July 31, 2018. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under aCC-BY-NC-ND 4.0 International license. Alcohol-responsive genes identified in human iPSC-derived neural cultures Kevin P. Jensen1,2,#, Richard Lieberman3,#, Henry R. Kranzler4,5, Joel Gelernter1,2, and Jonathan Covault3,6* 1 Department of Psychiatry, Yale University School of Medicine, New Haven, CT 06511 2 VA Connecticut Healthcare System, West Haven, CT 06516 3 Alcohol Research Center, Department of Psychiatry, University of Connecticut School of Medicine, Farmington, CT 06030-1410 4 Center for Studies of Addiction, Department of Psychiatry, Perelman School of Medicine of the University of Pennsylvania, Philadelphia, PA 19104 5 VISN4 MIRECC, Crescenz VAMC, Philadelphia, PA 19104 6 Institute for Systems Genomics, University of Connecticut, Storrs, CT 06269 # These authors contributed equally to this work *Correspondence: Department of Psychiatry UCONN Health 263 Farmington Avenue Farmington, CT 06030-1410 Telephone: 860-679-7560 Fax: 860-679-1296 Email: [email protected] Running title: Transcriptional effects of alcohol in human neural cultures 1 bioRxiv preprint doi: https://doi.org/10.1101/381673; this version posted July 31, 2018. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under aCC-BY-NC-ND 4.0 International license. -
Confirmation of Pathogenic Mechanisms by SARS-Cov-2–Host
Messina et al. Cell Death and Disease (2021) 12:788 https://doi.org/10.1038/s41419-021-03881-8 Cell Death & Disease ARTICLE Open Access Looking for pathways related to COVID-19: confirmation of pathogenic mechanisms by SARS-CoV-2–host interactome Francesco Messina 1, Emanuela Giombini1, Chiara Montaldo1, Ashish Arunkumar Sharma2, Antonio Zoccoli3, Rafick-Pierre Sekaly2, Franco Locatelli4, Alimuddin Zumla5, Markus Maeurer6,7, Maria R. Capobianchi1, Francesco Nicola Lauria1 and Giuseppe Ippolito 1 Abstract In the last months, many studies have clearly described several mechanisms of SARS-CoV-2 infection at cell and tissue level, but the mechanisms of interaction between host and SARS-CoV-2, determining the grade of COVID-19 severity, are still unknown. We provide a network analysis on protein–protein interactions (PPI) between viral and host proteins to better identify host biological responses, induced by both whole proteome of SARS-CoV-2 and specific viral proteins. A host-virus interactome was inferred, applying an explorative algorithm (Random Walk with Restart, RWR) triggered by 28 proteins of SARS-CoV-2. The analysis of PPI allowed to estimate the distribution of SARS-CoV-2 proteins in the host cell. Interactome built around one single viral protein allowed to define a different response, underlining as ORF8 and ORF3a modulated cardiovascular diseases and pro-inflammatory pathways, respectively. Finally, the network-based approach highlighted a possible direct action of ORF3a and NS7b to enhancing Bradykinin Storm. This network-based representation of SARS-CoV-2 infection could be a framework for pathogenic evaluation of specific 1234567890():,; 1234567890():,; 1234567890():,; 1234567890():,; clinical outcomes. -
A Yeast Phenomic Model for the Influence of Warburg Metabolism on Genetic Buffering of Doxorubicin Sean M
Santos and Hartman Cancer & Metabolism (2019) 7:9 https://doi.org/10.1186/s40170-019-0201-3 RESEARCH Open Access A yeast phenomic model for the influence of Warburg metabolism on genetic buffering of doxorubicin Sean M. Santos and John L. Hartman IV* Abstract Background: The influence of the Warburg phenomenon on chemotherapy response is unknown. Saccharomyces cerevisiae mimics the Warburg effect, repressing respiration in the presence of adequate glucose. Yeast phenomic experiments were conducted to assess potential influences of Warburg metabolism on gene-drug interaction underlying the cellular response to doxorubicin. Homologous genes from yeast phenomic and cancer pharmacogenomics data were analyzed to infer evolutionary conservation of gene-drug interaction and predict therapeutic relevance. Methods: Cell proliferation phenotypes (CPPs) of the yeast gene knockout/knockdown library were measured by quantitative high-throughput cell array phenotyping (Q-HTCP), treating with escalating doxorubicin concentrations under conditions of respiratory or glycolytic metabolism. Doxorubicin-gene interaction was quantified by departure of CPPs observed for the doxorubicin-treated mutant strain from that expected based on an interaction model. Recursive expectation-maximization clustering (REMc) and Gene Ontology (GO)-based analyses of interactions identified functional biological modules that differentially buffer or promote doxorubicin cytotoxicity with respect to Warburg metabolism. Yeast phenomic and cancer pharmacogenomics data were integrated to predict differential gene expression causally influencing doxorubicin anti-tumor efficacy. Results: Yeast compromised for genes functioning in chromatin organization, and several other cellular processes are more resistant to doxorubicin under glycolytic conditions. Thus, the Warburg transition appears to alleviate requirements for cellular functions that buffer doxorubicin cytotoxicity in a respiratory context. -
How Is Alcohol Metabolized by the Body?
Overview: How Is Alcohol Metabolized by the Body? Samir Zakhari, Ph.D. Alcohol is eliminated from the body by various metabolic mechanisms. The primary enzymes involved are aldehyde dehydrogenase (ALDH), alcohol dehydrogenase (ADH), cytochrome P450 (CYP2E1), and catalase. Variations in the genes for these enzymes have been found to influence alcohol consumption, alcohol-related tissue damage, and alcohol dependence. The consequences of alcohol metabolism include oxygen deficits (i.e., hypoxia) in the liver; interaction between alcohol metabolism byproducts and other cell components, resulting in the formation of harmful compounds (i.e., adducts); formation of highly reactive oxygen-containing molecules (i.e., reactive oxygen species [ROS]) that can damage other cell components; changes in the ratio of NADH to NAD+ (i.e., the cell’s redox state); tissue damage; fetal damage; impairment of other metabolic processes; cancer; and medication interactions. Several issues related to alcohol metabolism require further research. KEY WORDS: Ethanol-to acetaldehyde metabolism; alcohol dehydrogenase (ADH); aldehyde dehydrogenase (ALDH); acetaldehyde; acetate; cytochrome P450 2E1 (CYP2E1); catalase; reactive oxygen species (ROS); blood alcohol concentration (BAC); liver; stomach; brain; fetal alcohol effects; genetics and heredity; ethnic group; hypoxia The alcohol elimination rate varies state of liver cells. Chronic alcohol con- he effects of alcohol (i.e., ethanol) widely (i.e., three-fold) among individ- sumption and alcohol metabolism are on various tissues depend on its uals and is influenced by factors such as strongly linked to several pathological concentration in the blood T chronic alcohol consumption, diet, age, consequences and tissue damage. (blood alcohol concentration [BAC]) smoking, and time of day (Bennion and Understanding the balance of alcohol’s over time. -
Computational Exploration of the Medium-Chain Dehydrogenase / Reductase Superfamily
From the Department of Medical Biochemistry and Biophysics Karolinska Institutet, Stockholm, Sweden COMPUTATIONAL EXPLORATION OF THE MEDIUM-CHAIN DEHYDROGENASE / REDUCTASE SUPERFAMILY Linus J. Östberg Stockholm 2017 All previously published papers were reproduced with permission from the publisher. Published by Karolinska Institutet. Printed by E-Print AB 2017 ©Linus J. Östberg, 2017 ISBN 978-91-7676-650-7 COMPUTATIONAL EXPLORATION OF THE MEDIUM-CHAIN DEHYDROGENASE / REDUCTASE SUPERFAMILY THESIS FOR DOCTORAL DEGREE (Ph.D.) By Linus J. Östberg Principal Supervisor: Opponent: Prof. Jan-Olov Höög Prof. Jaume Farrés Karolinska Institutet Autonomous University of Barcelona Department of Medical Biochemistry and Department of Biochemistry and Biophysics Molecular Biology Co-supervisor: Examination Board: Prof. Bengt Persson Prof. Erik Lindahl Uppsala University Stockholm University Department of Cell and Molecular Biology Department of Biochemistry and Biophysics Assoc. Prof. Tanja Slotte Stockholm University Department of Ecology, Environment and Plant Sciences Prof. Elias Arnér Karolinska Institutet Department of Medical Biochemistry and Biophysics ABSTRACT The medium-chain dehydrogenase/reductase (MDR) superfamily is a protein family with more than 170,000 members across all phylogenetic branches. In humans there are 18 repre- sentatives. The entire MDR superfamily contains many protein families such as alcohol dehy- drogenase, which in mammals is in turn divided into six classes, class I–VI (ADH1–6). Most MDRs have enzymatical functions, catalysing the conversion of alcohols to aldehyde/ketones and vice versa, but the function of some members is still unknown. In the first project, a methodology for identifying and automating the classification of mammalian ADHs was developed using BLAST for identification and class-specific hidden Markov models were generated for identification. -
Bioinformatic Protein Family Characterisation
Linköping studies in science and technology Dissertation No. 1343 Bioinformatic protein family characterisation Joel Hedlund Department of Physics, Chemistry and Biology Linköping, 2010 1 The front cover shows a tree diagram of the relations between proteins in the MDR superfamily (papers III–IV), excluding non-eukaryotic sequences as well as four fifths of the remainder for clarity. In total, 518 out of the 16667 known members are shown, and 1.5 cm in the dendrogram represents 10 % sequence differences. The bottom bar diagram shows conservation in these sequences using the CScore algorithm from the MSAView program (papers II and V), with infrequent insertions omitted for brevity. This example illustrates the size and complexity of the MDR superfamily, and it also serves as an illuminating example of the intricacies of the field of bioinformatics as a whole, where, after scaling down and removing layer after layer of complexity, there is still always ample size and complexity left to go around. The back cover shows a schematic view of the three-dimensional structure of human class III alcohol dehydrogenase, indicating the positions of the zinc ion and NAD cofactors, as well as the Rossmann fold cofactor binding domain (red) and the GroES-like folding core of the catalytic domain (green). This thesis was typeset using LYX. Inkscape was used for figure layout. During the course of research underlying this thesis, Joel Hedlund was enrolled in Forum Scientium, a multidisciplinary doctoral programme at Linköping University, Sweden. Copyright © 2010 Joel Hedlund, unless otherwise noted. All rights reserved. Joel Hedlund Bioinformatic protein family characterisation ISBN: 978-91-7393-297-4 ISSN: 0345-7524 Linköping studies in science and technology, dissertation No. -
ARTICLE Evidence of Positive Selection on a Class I ADH Locus
ARTICLE Evidence of Positive Selection on a Class I ADH Locus Yi Han,* Sheng Gu,* Hiroki Oota,† Michael V. Osier,‡ Andrew J. Pakstis, William C. Speed, Judith R. Kidd, and Kenneth K. Kidd The alcohol dehydrogenase (ADH) family of enzymes catalyzes the reversible oxidation of alcohol to acetaldehyde. Seven ADH genes exist in a segment of ∼370 kb on 4q21. Products of the three class I ADH genes that share 95% sequence identity are believed to play the major role in the first step of ethanol metabolism. Because the common belief that selection has operated at the ADH1B*47His allele in East Asian populations lacks direct biological or statistical evidence, we used genomic data to test the hypothesis. Data consisted of 54 single-nucleotide polymorphisms (SNPs) across the ADH clusters in a global sampling of 42 populations. Both the Fst statistic and the long-range haplotype (LRH) test provided positive evidence of selection in several East Asian populations. The ADH1B Arg47His functional polymorphism has the highest Fst of the 54 SNPs in the ADH cluster, and it is significantly above the mean Fst of 382 presumably neutral sites tested on the same 42 population samples. The LRH test that uses cores including that site and extending on both sides also gives significant evidence of positive selection in some East Asian populations for a specific haplotype carrying the ADH1B*47His allele. Interestingly, this haplotype is present at a high frequency in only some East Asian populations, whereas the specific allele also exists in other East Asian populations and in the Near East and Europe but does not show evidence of selection with use of the LRH test.