Standardized, Systemic Phenotypic Analysis Reveals Kidney Dysfunction
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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. -
Role of Meprin Metalloproteases in Metastasis and Tumor Microenvironment
Cancer and Metastasis Reviews (2019) 38:347–356 https://doi.org/10.1007/s10555-019-09805-5 Role of meprin metalloproteases in metastasis and tumor microenvironment Florian Peters1 & Christoph Becker-Pauly1 Published online: 3 September 2019 # Springer Science+Business Media, LLC, part of Springer Nature 2019 Abstract A crucial step for tumor cell extravasation and metastasis is the migration through the extracellular matrix, which requires proteolytic activity. Hence, proteases, particularly matrix metalloproteases (MMPs), have been discussed as therapeutic targets and their inhibition should diminish tumor growth and metastasis. The metalloproteases meprin α and meprin β are highly abundant on intestinal enterocytes and their expression was associated with different stages of colorectal cancer. Due to their ability to cleave extracellular matrix (ECM) components, they were suggested as pro-tumorigenic enzymes. Additionally, both meprins were shown to have pro-inflammatory activity by cleaving cytokines and their receptors, which correlates with chronic intestinal inflammation and associated conditions. On the other hand, meprin β was identified as an essential enzyme for the detachment and renewal of the intestinal mucus, important to prevent bacterial overgrowth and infection. Considering this, it is hard to estimate whether high activity of meprins is generally detrimental or if these enzymes have also protective functions in certain cancer types. For instance, for colorectal cancer, patients with high meprin β expression in tumor tissue exhibit a better survival prognosis, which is completely different to prostate cancer. This demonstrates that the very same enzyme may have contrary effects on tumor initiation and growth, depending on its tissue and subcellular localization. Hence, precise knowledge about proteolytic enzymes is required to design the most efficient therapeutic options for cancer treatment. -
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. -
Metalloproteases Meprin Α and Meprin Β Are C- and N-Procollagen Proteinases Important for Collagen Assembly and Tensile Strength
Metalloproteases meprin α and meprin β are C- and N-procollagen proteinases important for collagen assembly and tensile strength Claudia Brodera, Philipp Arnoldb, Sandrine Vadon-Le Goffc, Moritz A. Konerdingd, Kerstin Bahrd, Stefan Müllere, Christopher M. Overallf, Judith S. Bondg, Tomas Koudelkah, Andreas Tholeyh, David J. S. Hulmesc, Catherine Moalic, and Christoph Becker-Paulya,1 aUnit for Degradomics of the Protease Web, Institute of Biochemistry, University of Kiel, 24118 Kiel, Germany; bInstitute of Zoology, Johannes Gutenberg University, 55128 Mainz, Germany; cTissue Biology and Therapeutic Engineering Unit, Centre National de la Recherche Scientifique/University of Lyon, Unité Mixte de Recherche 5305, Unité Mixte de Service 3444 Biosciences Gerland-Lyon Sud, 69367 Lyon Cedex 7, France; dInstitute of Functional and Clinical Anatomy, University Medical Center, Johannes Gutenberg University, 55128 Mainz, Germany; eDepartment of Gastroenterology, University of Bern, CH-3010 Bern, Switzerland; fCentre for Blood Research, University of British Columbia, Vancouver, BC, Canada V6T 1Z3; gDepartment of Biochemistry and Molecular Biology, Pennsylvania State University College of Medicine, Hershey, PA 17033; and hInstitute of Experimental Medicine, University of Kiel, 24118 Kiel, Germany Edited by Robert Huber, Max Planck Institute of Biochemistry, Planegg-Martinsried, Germany, and approved July 9, 2013 (received for review March 22, 2013) Type I fibrillar collagen is the most abundant protein in the human formation (22). A tight balance between synthesis and break- body, crucial for the formation and strength of bones, skin, and down of ECM is required for the function of all tissues, and tendon. Proteolytic enzymes are essential for initiation of the dysregulation leads to pathophysiological events, such as arthri- assembly of collagen fibrils by cleaving off the propeptides. -
1 Network Proteins of Angiotensin
Network proteins of angiotensin-converting enzyme 2 are host cell receptors for SARS-Coronavirus-2 attachment Short title: Cell surface receptors for SARS-CoV-2 entry Arun HS Kumar Corresponding Address Arun HS Kumar, DVM, PhD. Room 216, School of Veterinary Medicine, University College Dublin, Belfield, Dublin-04, Ireland. Phone: 0035317166230, Fax: 00353017166104. Email: [email protected] Abstract Coronaviruses causing severe acute respiratory syndrome (SARS-CoV) are known to enter the host cells by attaching to the membrane bound angiotensin-converting enzyme 2 (ACE2)1. A low binding affinity was observed between SARS-CoV-2 spike proteins (protein S, M and 6YLA) and ACE2. Coronaviruses are also reported to bind to dipeptidyl peptidase 4 (DPP4),2,3 which is a network protein of ACE2. Network analysis showed five membrane proteins associated with ACE2. The ACE2 network proteins were assessed for their binding affinity with all known SARS-CoV-2 surface proteins. The SARS- CoV-2 surface proteins showed preferential binding to network proteins such as DPP4 and Meprin A alpha but not ACE2. The binding efficacy (affinity (-5.86 to -7.10 Kcal/mol), Ki (6.32 – 22.04 µM) and IC50 (12.63 – 113.71 µM) values) of DPP4 inhibitors (saxagliptin and sitagliptin) against SARS-CoV-2 surface proteins, was observed to be at a therapeutically feasible concentration to prevent SARS-CoV-2 attachment and entry into host cells. The recent pandemic caused by a new strain of coronavirus (SARS-CoV-2) has resulted in serious health, social and economic setbacks4,5. Efforts to identify effective therapeutics or vaccine against SARS-CoV-2 illness (Covid-19) is currently been extensively explored globally6-9. -
Downloaded from the Protein Data Bank (PDB
bioRxiv preprint doi: https://doi.org/10.1101/2021.07.07.451411; this version posted July 7, 2021. 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. CAT, AGTR2, L-SIGN and DC-SIGN are potential receptors for the entry of SARS-CoV-2 into human cells Dongjie Guo 1, 2, #, Ruifang Guo1, 2, #, Zhaoyang Li 1, 2, Yuyang Zhang 1, 2, Wei Zheng 3, Xiaoqiang Huang 3, Tursunjan Aziz 1, 2, Yang Zhang 3, 4, Lijun Liu 1, 2, * 1 College of Life and Health Sciences, Northeastern University, Shenyang, Liaoning, China 2 Key Laboratory of Data Analytics and Optimization for Smart Industry (Ministry of Education), Northeastern University, Shenyang, Liaoning, China 3 Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, USA 4 Department of Biological Chemistry, University of Michigan, Ann Arbor, USA * Corresponding author. College of Life and Health Sciences, Northeastern University, Shenyang, 110169, China. E-mail address: [email protected] (L. Liu) # These authors contributed equally to this work. 1 bioRxiv preprint doi: https://doi.org/10.1101/2021.07.07.451411; this version posted July 7, 2021. 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. Abstract Since December 2019, the COVID-19 caused by SARS-CoV-2 has been widely spread all over the world. -
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. -
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. -
PRODUCT SPECIFICATION Product Datasheet
Product Datasheet QPrEST PRODUCT SPECIFICATION Product Name QPrEST MEP1B Mass Spectrometry Protein Standard Product Number QPrEST27357 Protein Name Meprin A subunit beta Uniprot ID Q16820 Gene MEP1B Product Description Stable isotope-labeled standard for absolute protein quantification of Meprin A subunit beta. Lys (13C and 15N) and Arg (13C and 15N) metabolically labeled recombinant human protein fragment. Application Absolute protein quantification using mass spectrometry Sequence (excluding NIYIREYSADNVDGNLTLVEEIKEIPTGSWQLYHVTLKVTKKFRVVFEGR fusion tag) KGSGASLGGLSIDDINLSETRCPHHIWHIRNFTQFIGSPNGTLYSPPFYS SKGYAFQIYLNLAHVTNAGIYFHLISGAN Theoretical MW 32350 Da including N-terminal His6ABP fusion tag Fusion Tag A purification and quantification tag (QTag) consisting of a hexahistidine sequence followed by an Albumin Binding Protein (ABP) domain derived from Streptococcal Protein G. Expression Host Escherichia coli LysA ArgA BL21(DE3) Purification IMAC purification Purity >90% as determined by Bioanalyzer Protein 230 Purity Assay Isotopic Incorporation >99% Concentration >5 μM after reconstitution in 100 μl H20 Concentration Concentration determined by LC-MS/MS using a highly pure amino acid analyzed internal Determination reference (QTag), CV ≤10%. Amount >0.5 nmol per vial, two vials supplied. Formulation Lyophilized in 100 mM Tris-HCl 5% Trehalose, pH 8.0 Instructions for Spin vial before opening. Add 100 μL ultrapure H2O to the vial. Vortex thoroughly and spin Reconstitution down. For further dilution, see Application Protocol. Shipping Shipped at ambient temperature Storage Lyophilized product shall be stored at -20°C. See COA for expiry date. Reconstituted product can be stored at -20°C for up to 4 weeks. Avoid repeated freeze-thaw cycles. Notes For research use only Product of Sweden. For research use only. Not intended for pharmaceutical development, diagnostic, therapeutic or any in vivo use.