Merging Protein, Gene and Genomic Data: the Evolution of the MDR-ADH Family
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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. -
HHS Public Access Author Manuscript
HHS Public Access Author manuscript Author Manuscript Author ManuscriptAm J Med Author Manuscript Genet B Neuropsychiatr Author Manuscript Genet. Author manuscript; available in PMC 2015 December 01. Published in final edited form as: Am J Med Genet B Neuropsychiatr Genet. 2014 December ; 0(8): 673–683. doi:10.1002/ajmg.b.32272. Association and ancestry analysis of sequence variants in ADH and ALDH using alcohol-related phenotypes in a Native American community sample Qian Peng1,2,*, Ian R. Gizer3, Ondrej Libiger2, Chris Bizon4, Kirk C. Wilhelmsen4,5, Nicholas J. Schork1, and Cindy L. Ehlers6,* 1 Department of Human Biology, J. Craig Venter Institute, La Jolla, CA 92037 2 Scripps Translational Science Institute, The Scripps Research Institute, La Jolla, CA 92037 3 Department of Psychological Sciences, University of Missouri-Columbia, Columbia, MO 65211 4 Renaissance Computing Institute, University of North Carolina at Chapel Hill, Chapel Hill, NC 27517 5 Department of Genetics and Neurology, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599 6 Department of Molecular and Cellular Neuroscience, The Scripps Research Institute, La Jolla, CA 92037 Abstract Higher rates of alcohol use and other drug-dependence have been observed in some Native American populations relative to other ethnic groups in the U.S. Previous studies have shown that alcohol dehydrogenase (ADH) genes and aldehyde dehydrogenase (ALDH) genes may affect the risk of development of alcohol dependence, and that polymorphisms within these genes may differentially affect risk for the disorder depending on the ethnic group evaluated. We evaluated variations in the ADH and ALDH genes in a large study investigating risk factors for substance use in a Native American population. -
TRANSCRIPTION REGULATION of the CLASS IV ALCOHOL DEHYDROGENASE 7 (ADH7) Sowmya Jairam Submitted to the Faculty of the University
TRANSCRIPTION REGULATION OF THE CLASS IV ALCOHOL DEHYDROGENASE 7 (ADH7) Sowmya Jairam Submitted to the faculty of the University Graduate School in partial fulfillment of the requirements for the degree Doctor of Philosophy in the Department of Biochemistry and Molecular Biology, Indiana University May 2014 Accepted by the Graduate Faculty, of Indiana University, in partial fulfillment of the requirements for the degree of Doctor of Philosophy. Howard J. Edenberg, Ph.D., Chair Brian P. Herring, Ph.D. Doctoral Committee David G. Skalnik, Ph.D. January 21, 2014 Ronald C. Wek, Ph.D. ii ACKNOWLEDGEMENTS I would like to thank my advisor, Dr. Howard Edenberg, for his guidance and support throughout my time in his lab. He fostered the ability to think independently by asking questions and letting me find the answers, even those I didn’t have readily, while making sure I was on the right track. I know the lessons I have learnt and the training I have received will stand me in good stead in my career. I would also like to thank all the current and former lab members at both the MS building and BRTC, particularly Jun Wang, Dr. Jeanette McClintick, Ron Jerome and Dr. Sirisha Pochareddy for their mentoring and friendship. They have been a great help and an immense support whenever I needed to get a second opinion on a technique or a research idea, and I have enjoyed discussing both scientific and non-scientific topics with them. I would like to thank my committee members Dr. Paul Herring, Dr. David Skalnik and Dr. -
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. -
Recombinant Human ADH6 Protein Catalog Number: ATGP1564
Recombinant human ADH6 protein Catalog Number: ATGP1564 PRODUCT INPORMATION Expression system E.coli Domain 1-375aa UniProt No. P28332 NCBI Accession No. NP_001095940 Alternative Names Alcohol dehydrogenase 6, ADH-5 PRODUCT SPECIFICATION Molecular Weight 42.4 kDa (399aa) confirmed by MALDI-TOF Concentration 0.5mg/ml (determined by Bradford assay) Formulation Liquid in. 20mM Tris-HCl buffer (pH 8.0) containing 30% glycerol, 0.15M NaCl, 1mM DTT Purity > 90% by SDS-PAGE Tag His-Tag Application SDS-PAGE Storage Condition Can be stored at +2C to +8C for 1 week. For long term storage, aliquot and store at -20C to -80C. Avoid repeated freezing and thawing cycles. BACKGROUND Description ADH6, also known as alcohol dehydrogenase 6, is a member of the alcohol dehydrogenase family. Members of this family metabolize a wide variety of substrates, including ethanol, retinol, other aliphatic alcohols, hydroxysteroids, and lipid peroxidation products. This protein is expressed in the stomach as well as in the liver, and it contains a glucocorticoid response element upstream of its 5' uTR, which is a steroid hormone receptor binding site. Recombinant human ADH6 protein, fused to His-tag at N-terminus, was expressed in E. coli and purified by using conventional chromatography. 1 Recombinant human ADH6 protein Catalog Number: ATGP1564 Amino acid Sequence MGSSHHHHHH SSGLVPRGSH MGSHMSTTGQ VIRCKAAILW KPGAPFSIEE VEVAPPKAKE VRIKVVATGL CGTEMKVLGS KHLDLLYPTI LGHEGAGIVE SIGEGVSTVK PGDKVITLFL PQCGECTSCL NSEGNFCIQF KQSKTQLMSD GTSRFTCKGK SIYHFGNTST FCEYTVIKEI SVAKIDAVAP LEKVCLISCG FSTGFGAAIN TAKVTPGSTC AVFGLGGVGL SVVMGCKAAG AARIIGVDVN KEKFKKAQEL GATECLNPQD LKKPIQEVLF DMTDAGIDFC FEAIGNLDVL AAALASCNES YGVCVVVGVL PASVQLKISG QLFFSGRSLK GSVFGGWKSR QHIPKLVADY MAEKLNLDPL ITHTLNLDKI NEAVELMKTG KCIRCILLL General References Yasunami M., et al. (1991) Proc. -
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. -
NIH Public Access Author Manuscript Alcohol Clin Exp Res
NIH Public Access Author Manuscript Alcohol Clin Exp Res. Author manuscript; available in PMC 2012 November 1. NIH-PA Author ManuscriptPublished NIH-PA Author Manuscript in final edited NIH-PA Author Manuscript form as: Alcohol Clin Exp Res. 2011 November ; 35(11): 2008±2018. doi:10.1111/j.1530-0277.2011.01552.x. Association of alcohol dehydrogenase genes with alcohol- related phenotypes in a Native American community sample Ian R. Gizer, PhD, Howard J. Edenberg, PhD, David A. Gilder, MD, Kirk C. Wilhelmsen, MD, PhD, and Cindy L. Ehlers, PhD Department of Molecular and Integrative Neurosciences, The Scripps Research Institute, La Jolla, CA 92037(CLE, DAG), the Department of Biochemistry and Molecular Biology, Indiana University School of Medicine, Indianapolis, IN 46202 (HJE), the Departments of Neurology and Genetics, University of North Carolina, Chapel Hill, NC 27599 (KCW), and the Department of Psychological Sciences, University of Missouri, Columbia, MO 65211 (IRG) Abstract Background—Previous linkage studies, including a study of the Native American population described in the present report, have provided evidence for linkage of alcohol dependence and related traits to chromosome 4q near a cluster of alcohol dehydrogenase (ADH) genes, which encode enzymes of alcohol metabolism. Methods—The present study tested for associations between alcohol dependence and related traits and 22 single nucleotide polymorphisms (SNPs) spanning the seven ADH genes. Participants included 586 adult men and women recruited from eight contiguous Native American reservations. A structured interview was used to assess DSM-III-R alcohol dependence criteria as well as a set of severe alcohol misuse symptoms and alcohol withdrawal symptoms.