1
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Yeomans D, Haas K, Nguyen N, Dimitriu P, Arbogast J. 534 Hand hygiene for pathogen removal and resident microbiome maintenance: Paradox or oxymoron? J Invest Dermatol 2022. [DOI: 10.1016/j.jid.2022.05.544] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
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2
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Skazel T, Kippnich M, Klingshirn H, Gerken L, Heuschmann P, Haas K, Schutzmeier M, Brandstetter L, Ahnert J, Koch J, Seese B, Meybohm P, Reuschenbach B, Wurmb T. [Ventilation Patients between Acute Care and Long-term Out-of-Hospital Ventilation - Routine Documentation based Analysis of the Care Situation]. Pneumologie 2021; 75:560-566. [PMID: 34374061 DOI: 10.1055/a-1376-1578] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
Abstract
BACKGROUND The number of invasive and non-invasive long-term out-of-hospital ventilations has been increasing rapidly for years. At the same time, there is poor information on the quality of care of out-of-hospital ventilated patients. The present investigation was conducted as part of the OVER-BEAS study. The aim of this study was to describe the care situation of weaning patients from admission to discharge from the weaning center using existing routine documentation. MATERIAL AND METHODS In our retrospective analysis, we included all patients admitted in 2018 via the weaning ward of the Thorax Center Münnerstadt. Descriptive analysis of routine data collected as part of quality management was performed. Data sources were the WeanNet database, the discharge letter of the weaning center, and the transfer report of the referring hospital. RESULTS In the studied weaning center, 50.8 % of the patients (n = 31) could be completely weaned from the respirator and extubated or decannulated (category 3aI). If complete weaning was not successful, 75.0 % (n = 21) required the constant presence of specially trained staff or a specialist nurse in the further course. In this case, further care was mostly provided in inpatient care facilities (e. g., ventilator shared living community). CONCLUSION Based on routine documentation, the care situation of weaning patients can be presented and compared with known data. In this way, the outcome quality of a weaning center can be made comparable.
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Affiliation(s)
- T Skazel
- Klinik und Poliklinik für Anästhesiologie, Intensivmedizin, Notfallmedizin und Schmerztherapie, Sektion Notfall- und Katastrophenmedizin, Universitätsklinikum Würzburg, Würzburg
| | - M Kippnich
- Klinik und Poliklinik für Anästhesiologie, Intensivmedizin, Notfallmedizin und Schmerztherapie, Sektion Notfall- und Katastrophenmedizin, Universitätsklinikum Würzburg, Würzburg
| | - H Klingshirn
- Katholische Stiftungshochschule München, München
| | - L Gerken
- Katholische Stiftungshochschule München, München
| | - P Heuschmann
- Institut für Klinische Epidemiologie und Biometrie, Julius-Maximilians-Universität Würzburg, Würzburg.,Zentrale für Klinische Studien Würzburg, Universitätsklinikum Würzburg, Würzburg.,Deutsches Zentrum für Herzinsuffizienz (DZHI), Universitätsklinikum Würzburg, Würzburg
| | - K Haas
- Institut für Klinische Epidemiologie und Biometrie, Julius-Maximilians-Universität Würzburg, Würzburg
| | - M Schutzmeier
- Institut für Klinische Epidemiologie und Biometrie, Julius-Maximilians-Universität Würzburg, Würzburg
| | - L Brandstetter
- Institut für Klinische Epidemiologie und Biometrie, Julius-Maximilians-Universität Würzburg, Würzburg
| | - J Ahnert
- Institut für Klinische Epidemiologie und Biometrie, Julius-Maximilians-Universität Würzburg, Würzburg
| | - J Koch
- Thoraxzentrum Bezirk Unterfranken - Lungenfachklinik, Münnerstadt
| | - B Seese
- Thoraxzentrum Bezirk Unterfranken - Lungenfachklinik, Münnerstadt
| | - P Meybohm
- Klinik und Poliklinik für Anästhesiologie, Intensivmedizin, Notfallmedizin und Schmerztherapie, Sektion Notfall- und Katastrophenmedizin, Universitätsklinikum Würzburg, Würzburg
| | | | - T Wurmb
- Klinik und Poliklinik für Anästhesiologie, Intensivmedizin, Notfallmedizin und Schmerztherapie, Sektion Notfall- und Katastrophenmedizin, Universitätsklinikum Würzburg, Würzburg
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3
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Hehn G, Schweizer M, Haas K. New calculations of neutron response functions of Bonner spheres with helium-3 detectors / Neue Berechnungen der Neutronenansprechfunktionen von Bonner-Kugeln mit Helium-3-Detektor. KERNTECHNIK 2021. [DOI: 10.1515/kern-1992-570417] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
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4
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Skazel T, Kippnich M, Klingshirn H, Gerken L, Heuschmann P, Haas K, Schutzmeier M, Brandstetter L, Ahnert J, Koch J, Seese B, Meybohm P, Reuschenbach B, Wurmb T. [Ventilation Patients between Acute Care and Long-term Out-of-Hospital Ventilation - Routine Documentation based Analysis of the Care Situation]. Pneumologie 2021; 75:180-180. [PMID: 33684955 DOI: 10.1055/a-1376-3966] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/22/2022]
Abstract
BACKGROUND The number of invasive and non-invasive long-term out-of-hospital ventilations has been increasing rapidly for years. At the same time, there is poor information on the quality of care of out-of-hospital ventilated patients. The present investigation was conducted as part of the OVER-BEAS study. The aim of this study was to describe the care situation of weaning patients from admission to discharge from the weaning center using existing routine documentation. MATERIAL AND METHODS In our retrospective analysis, we included all patients admitted in 2018 via the weaning ward of the Thorax Center Münnerstadt. Descriptive analysis of routine data collected as part of quality management was performed. Data sources were the WeanNet database, the discharge letter of the weaning center, and the transfer report of the referring hospital. RESULTS In the studied weaning center, 50.8 % of the patients (n = 31) could be completely weaned from the respirator and extubated or decannulated (category 3aI). If complete weaning was not successful, 75.0 % (n = 21) required the constant presence of specially trained staff or a specialist nurse in the further course. In this case, further care was mostly provided in inpatient care facilities (e. g., ventilator shared living community). CONCLUSION Based on routine documentation, the care situation of weaning patients can be presented and compared with known data. In this way, the outcome quality of a weaning center can be made comparable.
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Affiliation(s)
- T Skazel
- Klinik und Poliklinik für Anästhesiologie, Intensivmedizin, Notfallmedizin und Schmerztherapie, Sektion Notfall- und Katastrophenmedizin, Universitätsklinikum Würzburg, Würzburg
| | - M Kippnich
- Klinik und Poliklinik für Anästhesiologie, Intensivmedizin, Notfallmedizin und Schmerztherapie, Sektion Notfall- und Katastrophenmedizin, Universitätsklinikum Würzburg, Würzburg
| | - H Klingshirn
- Katholische Stiftungshochschule München, München
| | - L Gerken
- Katholische Stiftungshochschule München, München
| | - P Heuschmann
- Institut für Klinische Epidemiologie und Biometrie, Julius-Maximilians-Universität Würzburg, Würzburg
- Zentrale für Klinische Studien Würzburg, Universitätsklinikum Würzburg, Würzburg
- Deutsches Zentrum für Herzinsuffizienz (DZHI), Universitätsklinikum Würzburg, Würzburg
| | - K Haas
- Institut für Klinische Epidemiologie und Biometrie, Julius-Maximilians-Universität Würzburg, Würzburg
| | - M Schutzmeier
- Institut für Klinische Epidemiologie und Biometrie, Julius-Maximilians-Universität Würzburg, Würzburg
| | - L Brandstetter
- Institut für Klinische Epidemiologie und Biometrie, Julius-Maximilians-Universität Würzburg, Würzburg
| | - J Ahnert
- Institut für Klinische Epidemiologie und Biometrie, Julius-Maximilians-Universität Würzburg, Würzburg
| | - J Koch
- Thoraxzentrum Bezirk Unterfranken - Lungenfachklinik, Münnerstadt
| | - B Seese
- Thoraxzentrum Bezirk Unterfranken - Lungenfachklinik, Münnerstadt
| | - P Meybohm
- Klinik und Poliklinik für Anästhesiologie, Intensivmedizin, Notfallmedizin und Schmerztherapie, Sektion Notfall- und Katastrophenmedizin, Universitätsklinikum Würzburg, Würzburg
| | | | - T Wurmb
- Klinik und Poliklinik für Anästhesiologie, Intensivmedizin, Notfallmedizin und Schmerztherapie, Sektion Notfall- und Katastrophenmedizin, Universitätsklinikum Würzburg, Würzburg
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5
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Gordon DE, Jang GM, Bouhaddou M, Xu J, Obernier K, White KM, O'Meara MJ, Rezelj VV, Guo JZ, Swaney DL, Tummino TA, Hüttenhain R, Kaake RM, Richards AL, Tutuncuoglu B, Foussard H, Batra J, Haas K, Modak M, Kim M, Haas P, Polacco BJ, Braberg H, Fabius JM, Eckhardt M, Soucheray M, Bennett MJ, Cakir M, McGregor MJ, Li Q, Meyer B, Roesch F, Vallet T, Mac Kain A, Miorin L, Moreno E, Naing ZZC, Zhou Y, Peng S, Shi Y, Zhang Z, Shen W, Kirby IT, Melnyk JE, Chorba JS, Lou K, Dai SA, Barrio-Hernandez I, Memon D, Hernandez-Armenta C, Lyu J, Mathy CJP, Perica T, Pilla KB, Ganesan SJ, Saltzberg DJ, Rakesh R, Liu X, Rosenthal SB, Calviello L, Venkataramanan S, Liboy-Lugo J, Lin Y, Huang XP, Liu Y, Wankowicz SA, Bohn M, Safari M, Ugur FS, Koh C, Savar NS, Tran QD, Shengjuler D, Fletcher SJ, O'Neal MC, Cai Y, Chang JCJ, Broadhurst DJ, Klippsten S, Sharp PP, Wenzell NA, Kuzuoglu-Ozturk D, Wang HY, Trenker R, Young JM, Cavero DA, Hiatt J, Roth TL, Rathore U, Subramanian A, Noack J, Hubert M, Stroud RM, Frankel AD, Rosenberg OS, Verba KA, Agard DA, Ott M, Emerman M, Jura N, von Zastrow M, Verdin E, Ashworth A, Schwartz O, d'Enfert C, Mukherjee S, Jacobson M, Malik HS, Fujimori DG, Ideker T, Craik CS, Floor SN, Fraser JS, Gross JD, Sali A, Roth BL, Ruggero D, Taunton J, Kortemme T, Beltrao P, Vignuzzi M, García-Sastre A, Shokat KM, Shoichet BK, Krogan NJ. A SARS-CoV-2 protein interaction map reveals targets for drug repurposing. Nature 2020; 583:459-468. [PMID: 32353859 PMCID: PMC7431030 DOI: 10.1038/s41586-020-2286-9] [Citation(s) in RCA: 2844] [Impact Index Per Article: 711.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2020] [Accepted: 04/22/2020] [Indexed: 02/07/2023]
Abstract
A newly described coronavirus named severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), which is the causative agent of coronavirus disease 2019 (COVID-19), has infected over 2.3 million people, led to the death of more than 160,000 individuals and caused worldwide social and economic disruption1,2. There are no antiviral drugs with proven clinical efficacy for the treatment of COVID-19, nor are there any vaccines that prevent infection with SARS-CoV-2, and efforts to develop drugs and vaccines are hampered by the limited knowledge of the molecular details of how SARS-CoV-2 infects cells. Here we cloned, tagged and expressed 26 of the 29 SARS-CoV-2 proteins in human cells and identified the human proteins that physically associated with each of the SARS-CoV-2 proteins using affinity-purification mass spectrometry, identifying 332 high-confidence protein-protein interactions between SARS-CoV-2 and human proteins. Among these, we identify 66 druggable human proteins or host factors targeted by 69 compounds (of which, 29 drugs are approved by the US Food and Drug Administration, 12 are in clinical trials and 28 are preclinical compounds). We screened a subset of these in multiple viral assays and found two sets of pharmacological agents that displayed antiviral activity: inhibitors of mRNA translation and predicted regulators of the sigma-1 and sigma-2 receptors. Further studies of these host-factor-targeting agents, including their combination with drugs that directly target viral enzymes, could lead to a therapeutic regimen to treat COVID-19.
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Affiliation(s)
- David E Gordon
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA
- J. David Gladstone Institutes, San Francisco, CA, USA
- Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA
| | - Gwendolyn M Jang
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA
- J. David Gladstone Institutes, San Francisco, CA, USA
- Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA
| | - Mehdi Bouhaddou
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA
- J. David Gladstone Institutes, San Francisco, CA, USA
- Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA
| | - Jiewei Xu
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA
- J. David Gladstone Institutes, San Francisco, CA, USA
- Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA
| | - Kirsten Obernier
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA
- J. David Gladstone Institutes, San Francisco, CA, USA
- Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA
| | - Kris M White
- Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Global Health and Emerging Pathogens Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Matthew J O'Meara
- Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI, USA
| | - Veronica V Rezelj
- Viral Populations and Pathogenesis Unit, CNRS UMR 3569, Institut Pasteur, Paris, France
| | - Jeffrey Z Guo
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA
- J. David Gladstone Institutes, San Francisco, CA, USA
- Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA
| | - Danielle L Swaney
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA
- J. David Gladstone Institutes, San Francisco, CA, USA
- Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA
| | - Tia A Tummino
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA
- Department of Pharmaceutical Chemistry, University of California San Francisco, San Francisco, CA, USA
| | - Ruth Hüttenhain
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA
- J. David Gladstone Institutes, San Francisco, CA, USA
- Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA
| | - Robyn M Kaake
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA
- J. David Gladstone Institutes, San Francisco, CA, USA
- Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA
| | - Alicia L Richards
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA
- J. David Gladstone Institutes, San Francisco, CA, USA
- Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA
| | - Beril Tutuncuoglu
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA
- J. David Gladstone Institutes, San Francisco, CA, USA
- Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA
| | - Helene Foussard
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA
- J. David Gladstone Institutes, San Francisco, CA, USA
- Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA
| | - Jyoti Batra
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA
- J. David Gladstone Institutes, San Francisco, CA, USA
- Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA
| | - Kelsey Haas
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA
- J. David Gladstone Institutes, San Francisco, CA, USA
- Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA
| | - Maya Modak
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA
- J. David Gladstone Institutes, San Francisco, CA, USA
- Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA
| | - Minkyu Kim
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA
- J. David Gladstone Institutes, San Francisco, CA, USA
- Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA
| | - Paige Haas
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA
- J. David Gladstone Institutes, San Francisco, CA, USA
- Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA
| | - Benjamin J Polacco
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA
- J. David Gladstone Institutes, San Francisco, CA, USA
- Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA
| | - Hannes Braberg
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA
- J. David Gladstone Institutes, San Francisco, CA, USA
- Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA
| | - Jacqueline M Fabius
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA
- J. David Gladstone Institutes, San Francisco, CA, USA
- Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA
| | - Manon Eckhardt
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA
- J. David Gladstone Institutes, San Francisco, CA, USA
- Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA
| | - Margaret Soucheray
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA
- J. David Gladstone Institutes, San Francisco, CA, USA
- Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA
| | - Melanie J Bennett
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA
- J. David Gladstone Institutes, San Francisco, CA, USA
- Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA
| | - Merve Cakir
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA
- J. David Gladstone Institutes, San Francisco, CA, USA
- Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA
| | - Michael J McGregor
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA
- J. David Gladstone Institutes, San Francisco, CA, USA
- Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA
| | - Qiongyu Li
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA
- J. David Gladstone Institutes, San Francisco, CA, USA
- Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA
| | - Bjoern Meyer
- Viral Populations and Pathogenesis Unit, CNRS UMR 3569, Institut Pasteur, Paris, France
| | - Ferdinand Roesch
- Viral Populations and Pathogenesis Unit, CNRS UMR 3569, Institut Pasteur, Paris, France
| | - Thomas Vallet
- Viral Populations and Pathogenesis Unit, CNRS UMR 3569, Institut Pasteur, Paris, France
| | - Alice Mac Kain
- Viral Populations and Pathogenesis Unit, CNRS UMR 3569, Institut Pasteur, Paris, France
| | - Lisa Miorin
- Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Global Health and Emerging Pathogens Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Elena Moreno
- Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Global Health and Emerging Pathogens Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Zun Zar Chi Naing
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA
- J. David Gladstone Institutes, San Francisco, CA, USA
- Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA
| | - Yuan Zhou
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA
- J. David Gladstone Institutes, San Francisco, CA, USA
- Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA
| | - Shiming Peng
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA
- Department of Pharmaceutical Chemistry, University of California San Francisco, San Francisco, CA, USA
| | - Ying Shi
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA
- Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA
- Howard Hughes Medical Institute, University of California San Francisco, San Francisco, CA, USA
| | - Ziyang Zhang
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA
- Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA
- Howard Hughes Medical Institute, University of California San Francisco, San Francisco, CA, USA
| | - Wenqi Shen
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA
- Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA
- Howard Hughes Medical Institute, University of California San Francisco, San Francisco, CA, USA
| | - Ilsa T Kirby
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA
- Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA
- Howard Hughes Medical Institute, University of California San Francisco, San Francisco, CA, USA
| | - James E Melnyk
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA
- Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA
- Howard Hughes Medical Institute, University of California San Francisco, San Francisco, CA, USA
| | - John S Chorba
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA
- Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA
- Howard Hughes Medical Institute, University of California San Francisco, San Francisco, CA, USA
| | - Kevin Lou
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA
- Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA
- Howard Hughes Medical Institute, University of California San Francisco, San Francisco, CA, USA
| | - Shizhong A Dai
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA
- Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA
- Howard Hughes Medical Institute, University of California San Francisco, San Francisco, CA, USA
| | - Inigo Barrio-Hernandez
- European Molecular Biology Laboratory (EMBL), European Bioinformatics Institute, Wellcome Genome Campus, Cambridge, UK
| | - Danish Memon
- European Molecular Biology Laboratory (EMBL), European Bioinformatics Institute, Wellcome Genome Campus, Cambridge, UK
| | - Claudia Hernandez-Armenta
- European Molecular Biology Laboratory (EMBL), European Bioinformatics Institute, Wellcome Genome Campus, Cambridge, UK
| | - Jiankun Lyu
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA
- Department of Pharmaceutical Chemistry, University of California San Francisco, San Francisco, CA, USA
| | - Christopher J P Mathy
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA
- Department of Bioengineering and Therapeutic Sciences, University of California San Francisco, San Francisco, CA, USA
- The UC Berkeley-UCSF Graduate Program in Bioengineering, University of California San Francisco, San Francisco, CA, USA
| | - Tina Perica
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA
- Department of Bioengineering and Therapeutic Sciences, University of California San Francisco, San Francisco, CA, USA
| | - Kala Bharath Pilla
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA
- Department of Bioengineering and Therapeutic Sciences, University of California San Francisco, San Francisco, CA, USA
| | - Sai J Ganesan
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA
- Department of Bioengineering and Therapeutic Sciences, University of California San Francisco, San Francisco, CA, USA
| | - Daniel J Saltzberg
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA
- Department of Bioengineering and Therapeutic Sciences, University of California San Francisco, San Francisco, CA, USA
| | - Ramachandran Rakesh
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA
- Department of Bioengineering and Therapeutic Sciences, University of California San Francisco, San Francisco, CA, USA
| | - Xi Liu
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA
- Department of Pharmaceutical Chemistry, University of California San Francisco, San Francisco, CA, USA
| | - Sara B Rosenthal
- Center for Computational Biology and Bioinformatics, Department of Medicine, University of California San Diego, San Diego, CA, USA
| | - Lorenzo Calviello
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA
- Department of Cell and Tissue Biology, University of California San Francisco, San Francisco, CA, USA
| | - Srivats Venkataramanan
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA
- Department of Cell and Tissue Biology, University of California San Francisco, San Francisco, CA, USA
| | - Jose Liboy-Lugo
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA
- Department of Cell and Tissue Biology, University of California San Francisco, San Francisco, CA, USA
| | - Yizhu Lin
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA
- Department of Cell and Tissue Biology, University of California San Francisco, San Francisco, CA, USA
| | - Xi-Ping Huang
- Department of Pharmacology, University of North Carolina at Chapel Hill School of Medicine, Chapel Hill, NC, USA
| | - YongFeng Liu
- Department of Pharmacology, University of North Carolina at Chapel Hill School of Medicine, Chapel Hill, NC, USA
| | - Stephanie A Wankowicz
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA
- Department of Bioengineering and Therapeutic Sciences, University of California San Francisco, San Francisco, CA, USA
- Biophysics Graduate Program, University of California San Francisco, San Francisco, CA, USA
| | - Markus Bohn
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA
- Department of Pharmaceutical Chemistry, University of California San Francisco, San Francisco, CA, USA
| | - Maliheh Safari
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA
- Department of Biochemistry and Biophysics, University of California San Francisco, San Francisco, CA, USA
| | - Fatima S Ugur
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA
- Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA
- Department of Pharmaceutical Chemistry, University of California San Francisco, San Francisco, CA, USA
| | - Cassandra Koh
- Viral Populations and Pathogenesis Unit, CNRS UMR 3569, Institut Pasteur, Paris, France
| | - Nastaran Sadat Savar
- Viral Populations and Pathogenesis Unit, CNRS UMR 3569, Institut Pasteur, Paris, France
| | - Quang Dinh Tran
- Viral Populations and Pathogenesis Unit, CNRS UMR 3569, Institut Pasteur, Paris, France
| | - Djoshkun Shengjuler
- Viral Populations and Pathogenesis Unit, CNRS UMR 3569, Institut Pasteur, Paris, France
| | - Sabrina J Fletcher
- Viral Populations and Pathogenesis Unit, CNRS UMR 3569, Institut Pasteur, Paris, France
| | | | | | | | | | | | - Phillip P Sharp
- Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA
| | - Nicole A Wenzell
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA
- Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA
| | - Duygu Kuzuoglu-Ozturk
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA
- Helen Diller Family Comprehensive Cancer Center, University of California San Francisco, San Francisco, CA, USA
- Department of Urology, University of California San Francisco, San Francisco, CA, USA
| | - Hao-Yuan Wang
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA
- Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA
| | - Raphael Trenker
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA
- Cardiovascular Research Institute, University of California San Francisco, San Francisco, CA, USA
| | - Janet M Young
- Division of Basic Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Devin A Cavero
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA
- J. David Gladstone Institutes, San Francisco, CA, USA
- George William Hooper Foundation, Department of Microbiology and Immunology, University of California San Francisco, San Francisco, CA, USA
| | - Joseph Hiatt
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA
- J. David Gladstone Institutes, San Francisco, CA, USA
- Medical Scientist Training Program, University of California San Francisco, San Francisco, CA, USA
| | - Theodore L Roth
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA
- J. David Gladstone Institutes, San Francisco, CA, USA
- George William Hooper Foundation, Department of Microbiology and Immunology, University of California San Francisco, San Francisco, CA, USA
- Medical Scientist Training Program, University of California San Francisco, San Francisco, CA, USA
| | - Ujjwal Rathore
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA
- J. David Gladstone Institutes, San Francisco, CA, USA
- George William Hooper Foundation, Department of Microbiology and Immunology, University of California San Francisco, San Francisco, CA, USA
| | - Advait Subramanian
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA
- George William Hooper Foundation, Department of Microbiology and Immunology, University of California San Francisco, San Francisco, CA, USA
| | - Julia Noack
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA
- George William Hooper Foundation, Department of Microbiology and Immunology, University of California San Francisco, San Francisco, CA, USA
| | - Mathieu Hubert
- Virus and Immunity Unit, Institut Pasteur, Paris, France
| | - Robert M Stroud
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA
- Department of Biochemistry and Biophysics, University of California San Francisco, San Francisco, CA, USA
| | - Alan D Frankel
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA
- Department of Biochemistry and Biophysics, University of California San Francisco, San Francisco, CA, USA
| | - Oren S Rosenberg
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA
- Department of Biochemistry and Biophysics, University of California San Francisco, San Francisco, CA, USA
- Department of Medicine, University of California San Francisco, San Francisco, CA, USA
| | - Kliment A Verba
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA
- Department of Pharmaceutical Chemistry, University of California San Francisco, San Francisco, CA, USA
| | - David A Agard
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA
- Department of Biochemistry and Biophysics, University of California San Francisco, San Francisco, CA, USA
| | - Melanie Ott
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA
- J. David Gladstone Institutes, San Francisco, CA, USA
- Department of Medicine, University of California San Francisco, San Francisco, CA, USA
| | - Michael Emerman
- Division of Human Biology, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Natalia Jura
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA
- Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA
- Cardiovascular Research Institute, University of California San Francisco, San Francisco, CA, USA
| | - Mark von Zastrow
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA
- Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA
- Department of Psychiatry, University of California San Francisco, San Francisco, CA, USA
| | - Eric Verdin
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA
- Department of Medicine, University of California San Francisco, San Francisco, CA, USA
- Buck Institute for Research on Aging, Novato, CA, USA
| | - Alan Ashworth
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA
- Helen Diller Family Comprehensive Cancer Center, University of California San Francisco, San Francisco, CA, USA
| | | | | | - Shaeri Mukherjee
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA
- George William Hooper Foundation, Department of Microbiology and Immunology, University of California San Francisco, San Francisco, CA, USA
| | - Matt Jacobson
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA
- Department of Pharmaceutical Chemistry, University of California San Francisco, San Francisco, CA, USA
| | - Harmit S Malik
- Division of Basic Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Danica G Fujimori
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA
- Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA
- Department of Pharmaceutical Chemistry, University of California San Francisco, San Francisco, CA, USA
| | - Trey Ideker
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA
- Division of Genetics, Department of Medicine, University of California San Diego, San Diego, CA, USA
| | - Charles S Craik
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA
- Department of Pharmaceutical Chemistry, University of California San Francisco, San Francisco, CA, USA
- Helen Diller Family Comprehensive Cancer Center, University of California San Francisco, San Francisco, CA, USA
| | - Stephen N Floor
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA
- Department of Cell and Tissue Biology, University of California San Francisco, San Francisco, CA, USA
- Helen Diller Family Comprehensive Cancer Center, University of California San Francisco, San Francisco, CA, USA
| | - James S Fraser
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA
- Department of Bioengineering and Therapeutic Sciences, University of California San Francisco, San Francisco, CA, USA
| | - John D Gross
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA
- Department of Pharmaceutical Chemistry, University of California San Francisco, San Francisco, CA, USA
| | - Andrej Sali
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA
- Department of Pharmaceutical Chemistry, University of California San Francisco, San Francisco, CA, USA
- Department of Bioengineering and Therapeutic Sciences, University of California San Francisco, San Francisco, CA, USA
| | - Bryan L Roth
- Department of Pharmacology, University of North Carolina at Chapel Hill School of Medicine, Chapel Hill, NC, USA
| | - Davide Ruggero
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA
- Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA
- Helen Diller Family Comprehensive Cancer Center, University of California San Francisco, San Francisco, CA, USA
- Department of Urology, University of California San Francisco, San Francisco, CA, USA
| | - Jack Taunton
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA
- Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA
| | - Tanja Kortemme
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA
- Department of Bioengineering and Therapeutic Sciences, University of California San Francisco, San Francisco, CA, USA
- The UC Berkeley-UCSF Graduate Program in Bioengineering, University of California San Francisco, San Francisco, CA, USA
| | - Pedro Beltrao
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA
- European Molecular Biology Laboratory (EMBL), European Bioinformatics Institute, Wellcome Genome Campus, Cambridge, UK
| | - Marco Vignuzzi
- Viral Populations and Pathogenesis Unit, CNRS UMR 3569, Institut Pasteur, Paris, France.
| | - Adolfo García-Sastre
- Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
- Global Health and Emerging Pathogens Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
- Department of Medicine, Division of Infectious Diseases, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
- The Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
| | - Kevan M Shokat
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA.
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA.
- Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA.
- Howard Hughes Medical Institute, University of California San Francisco, San Francisco, CA, USA.
| | - Brian K Shoichet
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA.
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA.
- Department of Pharmaceutical Chemistry, University of California San Francisco, San Francisco, CA, USA.
| | - Nevan J Krogan
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA.
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA.
- J. David Gladstone Institutes, San Francisco, CA, USA.
- Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA.
- Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
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6
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Gordon DE, Jang GM, Bouhaddou M, Xu J, Obernier K, White KM, O'Meara MJ, Rezelj VV, Guo JZ, Swaney DL, Tummino TA, Hüttenhain R, Kaake RM, Richards AL, Tutuncuoglu B, Foussard H, Batra J, Haas K, Modak M, Kim M, Haas P, Polacco BJ, Braberg H, Fabius JM, Eckhardt M, Soucheray M, Bennett MJ, Cakir M, McGregor MJ, Li Q, Meyer B, Roesch F, Vallet T, Mac Kain A, Miorin L, Moreno E, Naing ZZC, Zhou Y, Peng S, Shi Y, Zhang Z, Shen W, Kirby IT, Melnyk JE, Chorba JS, Lou K, Dai SA, Barrio-Hernandez I, Memon D, Hernandez-Armenta C, Lyu J, Mathy CJP, Perica T, Pilla KB, Ganesan SJ, Saltzberg DJ, Rakesh R, Liu X, Rosenthal SB, Calviello L, Venkataramanan S, Liboy-Lugo J, Lin Y, Huang XP, Liu Y, Wankowicz SA, Bohn M, Safari M, Ugur FS, Koh C, Savar NS, Tran QD, Shengjuler D, Fletcher SJ, O'Neal MC, Cai Y, Chang JCJ, Broadhurst DJ, Klippsten S, Sharp PP, Wenzell NA, Kuzuoglu-Ozturk D, Wang HY, Trenker R, Young JM, Cavero DA, Hiatt J, Roth TL, Rathore U, Subramanian A, Noack J, Hubert M, Stroud RM, Frankel AD, Rosenberg OS, Verba KA, Agard DA, Ott M, Emerman M, Jura N, von Zastrow M, Verdin E, Ashworth A, Schwartz O, d'Enfert C, Mukherjee S, Jacobson M, Malik HS, Fujimori DG, Ideker T, Craik CS, Floor SN, Fraser JS, Gross JD, Sali A, Roth BL, Ruggero D, Taunton J, Kortemme T, Beltrao P, Vignuzzi M, García-Sastre A, Shokat KM, Shoichet BK, Krogan NJ. A SARS-CoV-2 protein interaction map reveals targets for drug repurposing. Nature 2020. [PMID: 32353859 DOI: 10.1038/s41586‐020‐2286‐9] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
A newly described coronavirus named severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), which is the causative agent of coronavirus disease 2019 (COVID-19), has infected over 2.3 million people, led to the death of more than 160,000 individuals and caused worldwide social and economic disruption1,2. There are no antiviral drugs with proven clinical efficacy for the treatment of COVID-19, nor are there any vaccines that prevent infection with SARS-CoV-2, and efforts to develop drugs and vaccines are hampered by the limited knowledge of the molecular details of how SARS-CoV-2 infects cells. Here we cloned, tagged and expressed 26 of the 29 SARS-CoV-2 proteins in human cells and identified the human proteins that physically associated with each of the SARS-CoV-2 proteins using affinity-purification mass spectrometry, identifying 332 high-confidence protein-protein interactions between SARS-CoV-2 and human proteins. Among these, we identify 66 druggable human proteins or host factors targeted by 69 compounds (of which, 29 drugs are approved by the US Food and Drug Administration, 12 are in clinical trials and 28 are preclinical compounds). We screened a subset of these in multiple viral assays and found two sets of pharmacological agents that displayed antiviral activity: inhibitors of mRNA translation and predicted regulators of the sigma-1 and sigma-2 receptors. Further studies of these host-factor-targeting agents, including their combination with drugs that directly target viral enzymes, could lead to a therapeutic regimen to treat COVID-19.
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Affiliation(s)
- David E Gordon
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA.,Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA.,J. David Gladstone Institutes, San Francisco, CA, USA.,Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA
| | - Gwendolyn M Jang
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA.,Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA.,J. David Gladstone Institutes, San Francisco, CA, USA.,Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA
| | - Mehdi Bouhaddou
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA.,Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA.,J. David Gladstone Institutes, San Francisco, CA, USA.,Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA
| | - Jiewei Xu
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA.,Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA.,J. David Gladstone Institutes, San Francisco, CA, USA.,Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA
| | - Kirsten Obernier
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA.,Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA.,J. David Gladstone Institutes, San Francisco, CA, USA.,Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA
| | - Kris M White
- Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY, USA.,Global Health and Emerging Pathogens Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Matthew J O'Meara
- Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI, USA
| | - Veronica V Rezelj
- Viral Populations and Pathogenesis Unit, CNRS UMR 3569, Institut Pasteur, Paris, France
| | - Jeffrey Z Guo
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA.,Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA.,J. David Gladstone Institutes, San Francisco, CA, USA.,Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA
| | - Danielle L Swaney
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA.,Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA.,J. David Gladstone Institutes, San Francisco, CA, USA.,Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA
| | - Tia A Tummino
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA.,Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA.,Department of Pharmaceutical Chemistry, University of California San Francisco, San Francisco, CA, USA
| | - Ruth Hüttenhain
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA.,Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA.,J. David Gladstone Institutes, San Francisco, CA, USA.,Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA
| | - Robyn M Kaake
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA.,Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA.,J. David Gladstone Institutes, San Francisco, CA, USA.,Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA
| | - Alicia L Richards
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA.,Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA.,J. David Gladstone Institutes, San Francisco, CA, USA.,Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA
| | - Beril Tutuncuoglu
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA.,Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA.,J. David Gladstone Institutes, San Francisco, CA, USA.,Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA
| | - Helene Foussard
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA.,Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA.,J. David Gladstone Institutes, San Francisco, CA, USA.,Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA
| | - Jyoti Batra
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA.,Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA.,J. David Gladstone Institutes, San Francisco, CA, USA.,Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA
| | - Kelsey Haas
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA.,Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA.,J. David Gladstone Institutes, San Francisco, CA, USA.,Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA
| | - Maya Modak
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA.,Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA.,J. David Gladstone Institutes, San Francisco, CA, USA.,Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA
| | - Minkyu Kim
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA.,Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA.,J. David Gladstone Institutes, San Francisco, CA, USA.,Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA
| | - Paige Haas
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA.,Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA.,J. David Gladstone Institutes, San Francisco, CA, USA.,Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA
| | - Benjamin J Polacco
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA.,Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA.,J. David Gladstone Institutes, San Francisco, CA, USA.,Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA
| | - Hannes Braberg
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA.,Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA.,J. David Gladstone Institutes, San Francisco, CA, USA.,Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA
| | - Jacqueline M Fabius
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA.,Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA.,J. David Gladstone Institutes, San Francisco, CA, USA.,Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA
| | - Manon Eckhardt
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA.,Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA.,J. David Gladstone Institutes, San Francisco, CA, USA.,Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA
| | - Margaret Soucheray
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA.,Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA.,J. David Gladstone Institutes, San Francisco, CA, USA.,Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA
| | - Melanie J Bennett
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA.,Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA.,J. David Gladstone Institutes, San Francisco, CA, USA.,Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA
| | - Merve Cakir
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA.,Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA.,J. David Gladstone Institutes, San Francisco, CA, USA.,Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA
| | - Michael J McGregor
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA.,Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA.,J. David Gladstone Institutes, San Francisco, CA, USA.,Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA
| | - Qiongyu Li
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA.,Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA.,J. David Gladstone Institutes, San Francisco, CA, USA.,Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA
| | - Bjoern Meyer
- Viral Populations and Pathogenesis Unit, CNRS UMR 3569, Institut Pasteur, Paris, France
| | - Ferdinand Roesch
- Viral Populations and Pathogenesis Unit, CNRS UMR 3569, Institut Pasteur, Paris, France
| | - Thomas Vallet
- Viral Populations and Pathogenesis Unit, CNRS UMR 3569, Institut Pasteur, Paris, France
| | - Alice Mac Kain
- Viral Populations and Pathogenesis Unit, CNRS UMR 3569, Institut Pasteur, Paris, France
| | - Lisa Miorin
- Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY, USA.,Global Health and Emerging Pathogens Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Elena Moreno
- Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY, USA.,Global Health and Emerging Pathogens Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Zun Zar Chi Naing
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA.,Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA.,J. David Gladstone Institutes, San Francisco, CA, USA.,Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA
| | - Yuan Zhou
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA.,Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA.,J. David Gladstone Institutes, San Francisco, CA, USA.,Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA
| | - Shiming Peng
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA.,Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA.,Department of Pharmaceutical Chemistry, University of California San Francisco, San Francisco, CA, USA
| | - Ying Shi
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA.,Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA.,Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA.,Howard Hughes Medical Institute, University of California San Francisco, San Francisco, CA, USA
| | - Ziyang Zhang
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA.,Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA.,Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA.,Howard Hughes Medical Institute, University of California San Francisco, San Francisco, CA, USA
| | - Wenqi Shen
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA.,Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA.,Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA.,Howard Hughes Medical Institute, University of California San Francisco, San Francisco, CA, USA
| | - Ilsa T Kirby
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA.,Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA.,Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA.,Howard Hughes Medical Institute, University of California San Francisco, San Francisco, CA, USA
| | - James E Melnyk
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA.,Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA.,Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA.,Howard Hughes Medical Institute, University of California San Francisco, San Francisco, CA, USA
| | - John S Chorba
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA.,Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA.,Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA.,Howard Hughes Medical Institute, University of California San Francisco, San Francisco, CA, USA
| | - Kevin Lou
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA.,Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA.,Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA.,Howard Hughes Medical Institute, University of California San Francisco, San Francisco, CA, USA
| | - Shizhong A Dai
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA.,Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA.,Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA.,Howard Hughes Medical Institute, University of California San Francisco, San Francisco, CA, USA
| | - Inigo Barrio-Hernandez
- European Molecular Biology Laboratory (EMBL), European Bioinformatics Institute, Wellcome Genome Campus, Cambridge, UK
| | - Danish Memon
- European Molecular Biology Laboratory (EMBL), European Bioinformatics Institute, Wellcome Genome Campus, Cambridge, UK
| | - Claudia Hernandez-Armenta
- European Molecular Biology Laboratory (EMBL), European Bioinformatics Institute, Wellcome Genome Campus, Cambridge, UK
| | - Jiankun Lyu
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA.,Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA.,Department of Pharmaceutical Chemistry, University of California San Francisco, San Francisco, CA, USA
| | - Christopher J P Mathy
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA.,Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA.,Department of Bioengineering and Therapeutic Sciences, University of California San Francisco, San Francisco, CA, USA.,The UC Berkeley-UCSF Graduate Program in Bioengineering, University of California San Francisco, San Francisco, CA, USA
| | - Tina Perica
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA.,Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA.,Department of Bioengineering and Therapeutic Sciences, University of California San Francisco, San Francisco, CA, USA
| | - Kala Bharath Pilla
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA.,Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA.,Department of Bioengineering and Therapeutic Sciences, University of California San Francisco, San Francisco, CA, USA
| | - Sai J Ganesan
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA.,Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA.,Department of Bioengineering and Therapeutic Sciences, University of California San Francisco, San Francisco, CA, USA
| | - Daniel J Saltzberg
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA.,Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA.,Department of Bioengineering and Therapeutic Sciences, University of California San Francisco, San Francisco, CA, USA
| | - Ramachandran Rakesh
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA.,Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA.,Department of Bioengineering and Therapeutic Sciences, University of California San Francisco, San Francisco, CA, USA
| | - Xi Liu
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA.,Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA.,Department of Pharmaceutical Chemistry, University of California San Francisco, San Francisco, CA, USA
| | - Sara B Rosenthal
- Center for Computational Biology and Bioinformatics, Department of Medicine, University of California San Diego, San Diego, CA, USA
| | - Lorenzo Calviello
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA.,Department of Cell and Tissue Biology, University of California San Francisco, San Francisco, CA, USA
| | - Srivats Venkataramanan
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA.,Department of Cell and Tissue Biology, University of California San Francisco, San Francisco, CA, USA
| | - Jose Liboy-Lugo
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA.,Department of Cell and Tissue Biology, University of California San Francisco, San Francisco, CA, USA
| | - Yizhu Lin
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA.,Department of Cell and Tissue Biology, University of California San Francisco, San Francisco, CA, USA
| | - Xi-Ping Huang
- Department of Pharmacology, University of North Carolina at Chapel Hill School of Medicine, Chapel Hill, NC, USA
| | - YongFeng Liu
- Department of Pharmacology, University of North Carolina at Chapel Hill School of Medicine, Chapel Hill, NC, USA
| | - Stephanie A Wankowicz
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA.,Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA.,Department of Bioengineering and Therapeutic Sciences, University of California San Francisco, San Francisco, CA, USA.,Biophysics Graduate Program, University of California San Francisco, San Francisco, CA, USA
| | - Markus Bohn
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA.,Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA.,Department of Pharmaceutical Chemistry, University of California San Francisco, San Francisco, CA, USA
| | - Maliheh Safari
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA.,Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA.,Department of Biochemistry and Biophysics, University of California San Francisco, San Francisco, CA, USA
| | - Fatima S Ugur
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA.,Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA.,Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA.,Department of Pharmaceutical Chemistry, University of California San Francisco, San Francisco, CA, USA
| | - Cassandra Koh
- Viral Populations and Pathogenesis Unit, CNRS UMR 3569, Institut Pasteur, Paris, France
| | - Nastaran Sadat Savar
- Viral Populations and Pathogenesis Unit, CNRS UMR 3569, Institut Pasteur, Paris, France
| | - Quang Dinh Tran
- Viral Populations and Pathogenesis Unit, CNRS UMR 3569, Institut Pasteur, Paris, France
| | - Djoshkun Shengjuler
- Viral Populations and Pathogenesis Unit, CNRS UMR 3569, Institut Pasteur, Paris, France
| | - Sabrina J Fletcher
- Viral Populations and Pathogenesis Unit, CNRS UMR 3569, Institut Pasteur, Paris, France
| | | | | | | | | | | | - Phillip P Sharp
- Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA
| | - Nicole A Wenzell
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA.,Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA.,Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA
| | - Duygu Kuzuoglu-Ozturk
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA.,Helen Diller Family Comprehensive Cancer Center, University of California San Francisco, San Francisco, CA, USA.,Department of Urology, University of California San Francisco, San Francisco, CA, USA
| | - Hao-Yuan Wang
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA.,Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA.,Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA
| | - Raphael Trenker
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA.,Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA.,Cardiovascular Research Institute, University of California San Francisco, San Francisco, CA, USA
| | - Janet M Young
- Division of Basic Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Devin A Cavero
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA.,J. David Gladstone Institutes, San Francisco, CA, USA.,George William Hooper Foundation, Department of Microbiology and Immunology, University of California San Francisco, San Francisco, CA, USA
| | - Joseph Hiatt
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA.,J. David Gladstone Institutes, San Francisco, CA, USA.,Medical Scientist Training Program, University of California San Francisco, San Francisco, CA, USA
| | - Theodore L Roth
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA.,J. David Gladstone Institutes, San Francisco, CA, USA.,George William Hooper Foundation, Department of Microbiology and Immunology, University of California San Francisco, San Francisco, CA, USA.,Medical Scientist Training Program, University of California San Francisco, San Francisco, CA, USA
| | - Ujjwal Rathore
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA.,J. David Gladstone Institutes, San Francisco, CA, USA.,George William Hooper Foundation, Department of Microbiology and Immunology, University of California San Francisco, San Francisco, CA, USA
| | - Advait Subramanian
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA.,Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA.,George William Hooper Foundation, Department of Microbiology and Immunology, University of California San Francisco, San Francisco, CA, USA
| | - Julia Noack
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA.,Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA.,George William Hooper Foundation, Department of Microbiology and Immunology, University of California San Francisco, San Francisco, CA, USA
| | - Mathieu Hubert
- Virus and Immunity Unit, Institut Pasteur, Paris, France
| | - Robert M Stroud
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA.,Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA.,Department of Biochemistry and Biophysics, University of California San Francisco, San Francisco, CA, USA
| | - Alan D Frankel
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA.,Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA.,Department of Biochemistry and Biophysics, University of California San Francisco, San Francisco, CA, USA
| | - Oren S Rosenberg
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA.,Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA.,Department of Biochemistry and Biophysics, University of California San Francisco, San Francisco, CA, USA.,Department of Medicine, University of California San Francisco, San Francisco, CA, USA
| | - Kliment A Verba
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA.,Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA.,Department of Pharmaceutical Chemistry, University of California San Francisco, San Francisco, CA, USA
| | - David A Agard
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA.,Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA.,Department of Biochemistry and Biophysics, University of California San Francisco, San Francisco, CA, USA
| | - Melanie Ott
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA.,Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA.,J. David Gladstone Institutes, San Francisco, CA, USA.,Department of Medicine, University of California San Francisco, San Francisco, CA, USA
| | - Michael Emerman
- Division of Human Biology, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Natalia Jura
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA.,Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA.,Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA.,Cardiovascular Research Institute, University of California San Francisco, San Francisco, CA, USA
| | - Mark von Zastrow
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA.,Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA.,Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA.,Department of Psychiatry, University of California San Francisco, San Francisco, CA, USA
| | - Eric Verdin
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA.,Department of Medicine, University of California San Francisco, San Francisco, CA, USA.,Buck Institute for Research on Aging, Novato, CA, USA
| | - Alan Ashworth
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA.,Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA.,Helen Diller Family Comprehensive Cancer Center, University of California San Francisco, San Francisco, CA, USA
| | | | | | - Shaeri Mukherjee
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA.,Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA.,George William Hooper Foundation, Department of Microbiology and Immunology, University of California San Francisco, San Francisco, CA, USA
| | - Matt Jacobson
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA.,Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA.,Department of Pharmaceutical Chemistry, University of California San Francisco, San Francisco, CA, USA
| | - Harmit S Malik
- Division of Basic Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Danica G Fujimori
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA.,Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA.,Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA.,Department of Pharmaceutical Chemistry, University of California San Francisco, San Francisco, CA, USA
| | - Trey Ideker
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA.,Division of Genetics, Department of Medicine, University of California San Diego, San Diego, CA, USA
| | - Charles S Craik
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA.,Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA.,Department of Pharmaceutical Chemistry, University of California San Francisco, San Francisco, CA, USA.,Helen Diller Family Comprehensive Cancer Center, University of California San Francisco, San Francisco, CA, USA
| | - Stephen N Floor
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA.,Department of Cell and Tissue Biology, University of California San Francisco, San Francisco, CA, USA.,Helen Diller Family Comprehensive Cancer Center, University of California San Francisco, San Francisco, CA, USA
| | - James S Fraser
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA.,Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA.,Department of Bioengineering and Therapeutic Sciences, University of California San Francisco, San Francisco, CA, USA
| | - John D Gross
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA.,Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA.,Department of Pharmaceutical Chemistry, University of California San Francisco, San Francisco, CA, USA
| | - Andrej Sali
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA.,Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA.,Department of Pharmaceutical Chemistry, University of California San Francisco, San Francisco, CA, USA.,Department of Bioengineering and Therapeutic Sciences, University of California San Francisco, San Francisco, CA, USA
| | - Bryan L Roth
- Department of Pharmacology, University of North Carolina at Chapel Hill School of Medicine, Chapel Hill, NC, USA
| | - Davide Ruggero
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA.,Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA.,Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA.,Helen Diller Family Comprehensive Cancer Center, University of California San Francisco, San Francisco, CA, USA.,Department of Urology, University of California San Francisco, San Francisco, CA, USA
| | - Jack Taunton
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA.,Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA.,Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA
| | - Tanja Kortemme
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA.,Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA.,Department of Bioengineering and Therapeutic Sciences, University of California San Francisco, San Francisco, CA, USA.,The UC Berkeley-UCSF Graduate Program in Bioengineering, University of California San Francisco, San Francisco, CA, USA
| | - Pedro Beltrao
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA.,European Molecular Biology Laboratory (EMBL), European Bioinformatics Institute, Wellcome Genome Campus, Cambridge, UK
| | - Marco Vignuzzi
- Viral Populations and Pathogenesis Unit, CNRS UMR 3569, Institut Pasteur, Paris, France.
| | - Adolfo García-Sastre
- Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY, USA. .,Global Health and Emerging Pathogens Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA. .,Department of Medicine, Division of Infectious Diseases, Icahn School of Medicine at Mount Sinai, New York, NY, USA. .,The Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
| | - Kevan M Shokat
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA. .,Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA. .,Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA. .,Howard Hughes Medical Institute, University of California San Francisco, San Francisco, CA, USA.
| | - Brian K Shoichet
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA. .,Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA. .,Department of Pharmaceutical Chemistry, University of California San Francisco, San Francisco, CA, USA.
| | - Nevan J Krogan
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA. .,Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA. .,J. David Gladstone Institutes, San Francisco, CA, USA. .,Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA. .,Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
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7
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Martínez JM, Schottroff F, Haas K, Fauster T, Sajfrtová M, Álvarez I, Raso J, Jaeger H. Evaluation of pulsed electric fields technology for the improvement of subsequent carotenoid extraction from dried Rhodotorula glutinis yeast. Food Chem 2020; 323:126824. [PMID: 32334308 DOI: 10.1016/j.foodchem.2020.126824] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2019] [Revised: 04/09/2020] [Accepted: 04/13/2020] [Indexed: 11/20/2022]
Abstract
This research aims to evaluate whether the electroporation of Rhodotorula glutinis fresh biomass improved the subsequent extraction of carotenoids from dry biomass using supercritical CO2 and traditional solvent extraction. Supercritical CO2 extraction yields were low after all treatments assayed. Similarly, solvent extraction of carotenoids from untreated or PEF treated cells that were immediately freeze-dried after the pre-treatment was neither effective (extraction yield < 20% total content). Conversely, PEF-treatment and subsequent intermediate incubation in aqueous buffer for 24 h, followed by freeze-drying and extraction, led to a large improvement with the three solvents assayed (acetone, hexane, ethanol). Ethanol was the most efficient, reaching an extraction yield of 80% of total carotenoid, which represents a recovery of 267 µg/gdw. Torularhodin esters constituted the main carotenoid found in the extracts. This is of great interest, as ethanol is eco-friendly solvent and potential applications of torularhodin range from food to medical purposes.
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Affiliation(s)
- J M Martínez
- Food Technology, University of Zaragoza, Spain; Institute of Food Technology, University of Natural Resources and Life Sciences (BOKU), Vienna, Austria.
| | - F Schottroff
- Institute of Food Technology, University of Natural Resources and Life Sciences (BOKU), Vienna, Austria
| | - K Haas
- Institute of Food Technology, University of Natural Resources and Life Sciences (BOKU), Vienna, Austria
| | - T Fauster
- Institute of Food Technology, University of Natural Resources and Life Sciences (BOKU), Vienna, Austria
| | - M Sajfrtová
- Institute of Chemical Process Fundamentals of the CAS, v.v.i., Prague, Czech Republic
| | - I Álvarez
- Food Technology, University of Zaragoza, Spain
| | - J Raso
- Food Technology, University of Zaragoza, Spain
| | - H Jaeger
- Institute of Food Technology, University of Natural Resources and Life Sciences (BOKU), Vienna, Austria
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8
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Gordon DE, Jang GM, Bouhaddou M, Xu J, Obernier K, O'Meara MJ, Guo JZ, Swaney DL, Tummino TA, Hüttenhain R, Kaake RM, Richards AL, Tutuncuoglu B, Foussard H, Batra J, Haas K, Modak M, Kim M, Haas P, Polacco BJ, Braberg H, Fabius JM, Eckhardt M, Soucheray M, Bennett MJ, Cakir M, McGregor MJ, Li Q, Naing ZZC, Zhou Y, Peng S, Kirby IT, Melnyk JE, Chorba JS, Lou K, Dai SA, Shen W, Shi Y, Zhang Z, Barrio-Hernandez I, Memon D, Hernandez-Armenta C, Mathy CJP, Perica T, Pilla KB, Ganesan SJ, Saltzberg DJ, Ramachandran R, Liu X, Rosenthal SB, Calviello L, Venkataramanan S, Lin Y, Wankowicz SA, Bohn M, Trenker R, Young JM, Cavero D, Hiatt J, Roth T, Rathore U, Subramanian A, Noack J, Hubert M, Roesch F, Vallet T, Meyer B, White KM, Miorin L, Agard D, Emerman M, Ruggero D, García-Sastre A, Jura N, von Zastrow M, Taunton J, Schwartz O, Vignuzzi M, d'Enfert C, Mukherjee S, Jacobson M, Malik HS, Fujimori DG, Ideker T, Craik CS, Floor S, Fraser JS, Gross J, Sali A, Kortemme T, Beltrao P, Shokat K, Shoichet BK, Krogan NJ. A SARS-CoV-2-Human Protein-Protein Interaction Map Reveals Drug Targets and Potential Drug-Repurposing. bioRxiv 2020:2020.03.22.002386. [PMID: 32511329 PMCID: PMC7239059 DOI: 10.1101/2020.03.22.002386] [Citation(s) in RCA: 132] [Impact Index Per Article: 33.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
An outbreak of the novel coronavirus SARS-CoV-2, the causative agent of COVID-19 respiratory disease, has infected over 290,000 people since the end of 2019, killed over 12,000, and caused worldwide social and economic disruption 1,2 . There are currently no antiviral drugs with proven efficacy nor are there vaccines for its prevention. Unfortunately, the scientific community has little knowledge of the molecular details of SARS-CoV-2 infection. To illuminate this, we cloned, tagged and expressed 26 of the 29 viral proteins in human cells and identified the human proteins physically associated with each using affinity-purification mass spectrometry (AP-MS), which identified 332 high confidence SARS-CoV-2-human protein-protein interactions (PPIs). Among these, we identify 66 druggable human proteins or host factors targeted by 69 existing FDA-approved drugs, drugs in clinical trials and/or preclinical compounds, that we are currently evaluating for efficacy in live SARS-CoV-2 infection assays. The identification of host dependency factors mediating virus infection may provide key insights into effective molecular targets for developing broadly acting antiviral therapeutics against SARS-CoV-2 and other deadly coronavirus strains.
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Affiliation(s)
- David E Gordon
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, 94158, USA.,University of California San Francisco, Quantitative Biosciences Institute (QBI), San Francisco, CA, 94158, USA.,J. David Gladstone Institutes, San Francisco, CA 94158, USA.,University of California San Francisco, Department of Cellular and Molecular Pharmacology, San Francisco, CA, 94158, USA
| | - Gwendolyn M Jang
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, 94158, USA.,University of California San Francisco, Quantitative Biosciences Institute (QBI), San Francisco, CA, 94158, USA.,J. David Gladstone Institutes, San Francisco, CA 94158, USA.,University of California San Francisco, Department of Cellular and Molecular Pharmacology, San Francisco, CA, 94158, USA
| | - Mehdi Bouhaddou
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, 94158, USA.,University of California San Francisco, Quantitative Biosciences Institute (QBI), San Francisco, CA, 94158, USA.,J. David Gladstone Institutes, San Francisco, CA 94158, USA.,University of California San Francisco, Department of Cellular and Molecular Pharmacology, San Francisco, CA, 94158, USA
| | - Jiewei Xu
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, 94158, USA.,University of California San Francisco, Quantitative Biosciences Institute (QBI), San Francisco, CA, 94158, USA.,J. David Gladstone Institutes, San Francisco, CA 94158, USA.,University of California San Francisco, Department of Cellular and Molecular Pharmacology, San Francisco, CA, 94158, USA
| | - Kirsten Obernier
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, 94158, USA.,University of California San Francisco, Quantitative Biosciences Institute (QBI), San Francisco, CA, 94158, USA.,J. David Gladstone Institutes, San Francisco, CA 94158, USA.,University of California San Francisco, Department of Cellular and Molecular Pharmacology, San Francisco, CA, 94158, USA
| | - Matthew J O'Meara
- Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI, 48109, USA
| | - Jeffrey Z Guo
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, 94158, USA.,University of California San Francisco, Quantitative Biosciences Institute (QBI), San Francisco, CA, 94158, USA.,J. David Gladstone Institutes, San Francisco, CA 94158, USA.,University of California San Francisco, Department of Cellular and Molecular Pharmacology, San Francisco, CA, 94158, USA
| | - Danielle L Swaney
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, 94158, USA.,University of California San Francisco, Quantitative Biosciences Institute (QBI), San Francisco, CA, 94158, USA.,J. David Gladstone Institutes, San Francisco, CA 94158, USA.,University of California San Francisco, Department of Cellular and Molecular Pharmacology, San Francisco, CA, 94158, USA
| | - Tia A Tummino
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, 94158, USA.,University of California San Francisco, Quantitative Biosciences Institute (QBI), San Francisco, CA, 94158, USA.,Department of Pharmaceutical Chemistry, University of California, San Francisco
| | - Ruth Hüttenhain
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, 94158, USA.,University of California San Francisco, Quantitative Biosciences Institute (QBI), San Francisco, CA, 94158, USA.,J. David Gladstone Institutes, San Francisco, CA 94158, USA.,University of California San Francisco, Department of Cellular and Molecular Pharmacology, San Francisco, CA, 94158, USA
| | - Robyn M Kaake
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, 94158, USA.,University of California San Francisco, Quantitative Biosciences Institute (QBI), San Francisco, CA, 94158, USA.,J. David Gladstone Institutes, San Francisco, CA 94158, USA.,University of California San Francisco, Department of Cellular and Molecular Pharmacology, San Francisco, CA, 94158, USA
| | - Alicia L Richards
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, 94158, USA.,University of California San Francisco, Quantitative Biosciences Institute (QBI), San Francisco, CA, 94158, USA.,J. David Gladstone Institutes, San Francisco, CA 94158, USA.,University of California San Francisco, Department of Cellular and Molecular Pharmacology, San Francisco, CA, 94158, USA
| | - Beril Tutuncuoglu
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, 94158, USA.,University of California San Francisco, Quantitative Biosciences Institute (QBI), San Francisco, CA, 94158, USA.,J. David Gladstone Institutes, San Francisco, CA 94158, USA.,University of California San Francisco, Department of Cellular and Molecular Pharmacology, San Francisco, CA, 94158, USA
| | - Helene Foussard
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, 94158, USA.,University of California San Francisco, Quantitative Biosciences Institute (QBI), San Francisco, CA, 94158, USA.,J. David Gladstone Institutes, San Francisco, CA 94158, USA.,University of California San Francisco, Department of Cellular and Molecular Pharmacology, San Francisco, CA, 94158, USA
| | - Jyoti Batra
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, 94158, USA.,University of California San Francisco, Quantitative Biosciences Institute (QBI), San Francisco, CA, 94158, USA.,J. David Gladstone Institutes, San Francisco, CA 94158, USA.,University of California San Francisco, Department of Cellular and Molecular Pharmacology, San Francisco, CA, 94158, USA
| | - Kelsey Haas
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, 94158, USA.,University of California San Francisco, Quantitative Biosciences Institute (QBI), San Francisco, CA, 94158, USA.,J. David Gladstone Institutes, San Francisco, CA 94158, USA.,University of California San Francisco, Department of Cellular and Molecular Pharmacology, San Francisco, CA, 94158, USA
| | - Maya Modak
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, 94158, USA.,University of California San Francisco, Quantitative Biosciences Institute (QBI), San Francisco, CA, 94158, USA.,J. David Gladstone Institutes, San Francisco, CA 94158, USA.,University of California San Francisco, Department of Cellular and Molecular Pharmacology, San Francisco, CA, 94158, USA
| | - Minkyu Kim
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, 94158, USA.,University of California San Francisco, Quantitative Biosciences Institute (QBI), San Francisco, CA, 94158, USA.,J. David Gladstone Institutes, San Francisco, CA 94158, USA.,University of California San Francisco, Department of Cellular and Molecular Pharmacology, San Francisco, CA, 94158, USA
| | - Paige Haas
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, 94158, USA.,University of California San Francisco, Quantitative Biosciences Institute (QBI), San Francisco, CA, 94158, USA.,J. David Gladstone Institutes, San Francisco, CA 94158, USA.,University of California San Francisco, Department of Cellular and Molecular Pharmacology, San Francisco, CA, 94158, USA
| | - Benjamin J Polacco
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, 94158, USA.,University of California San Francisco, Quantitative Biosciences Institute (QBI), San Francisco, CA, 94158, USA.,J. David Gladstone Institutes, San Francisco, CA 94158, USA.,University of California San Francisco, Department of Cellular and Molecular Pharmacology, San Francisco, CA, 94158, USA
| | - Hannes Braberg
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, 94158, USA.,University of California San Francisco, Quantitative Biosciences Institute (QBI), San Francisco, CA, 94158, USA.,J. David Gladstone Institutes, San Francisco, CA 94158, USA.,University of California San Francisco, Department of Cellular and Molecular Pharmacology, San Francisco, CA, 94158, USA
| | - Jacqueline M Fabius
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, 94158, USA.,University of California San Francisco, Quantitative Biosciences Institute (QBI), San Francisco, CA, 94158, USA.,J. David Gladstone Institutes, San Francisco, CA 94158, USA.,University of California San Francisco, Department of Cellular and Molecular Pharmacology, San Francisco, CA, 94158, USA
| | - Manon Eckhardt
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, 94158, USA.,University of California San Francisco, Quantitative Biosciences Institute (QBI), San Francisco, CA, 94158, USA.,J. David Gladstone Institutes, San Francisco, CA 94158, USA.,University of California San Francisco, Department of Cellular and Molecular Pharmacology, San Francisco, CA, 94158, USA
| | - Margaret Soucheray
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, 94158, USA.,University of California San Francisco, Quantitative Biosciences Institute (QBI), San Francisco, CA, 94158, USA.,J. David Gladstone Institutes, San Francisco, CA 94158, USA.,University of California San Francisco, Department of Cellular and Molecular Pharmacology, San Francisco, CA, 94158, USA
| | - Melanie J Bennett
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, 94158, USA.,University of California San Francisco, Quantitative Biosciences Institute (QBI), San Francisco, CA, 94158, USA.,J. David Gladstone Institutes, San Francisco, CA 94158, USA.,University of California San Francisco, Department of Cellular and Molecular Pharmacology, San Francisco, CA, 94158, USA
| | - Merve Cakir
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, 94158, USA.,University of California San Francisco, Quantitative Biosciences Institute (QBI), San Francisco, CA, 94158, USA.,J. David Gladstone Institutes, San Francisco, CA 94158, USA.,University of California San Francisco, Department of Cellular and Molecular Pharmacology, San Francisco, CA, 94158, USA
| | - Michael J McGregor
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, 94158, USA.,University of California San Francisco, Quantitative Biosciences Institute (QBI), San Francisco, CA, 94158, USA.,J. David Gladstone Institutes, San Francisco, CA 94158, USA.,University of California San Francisco, Department of Cellular and Molecular Pharmacology, San Francisco, CA, 94158, USA
| | - Qiongyu Li
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, 94158, USA.,University of California San Francisco, Quantitative Biosciences Institute (QBI), San Francisco, CA, 94158, USA.,J. David Gladstone Institutes, San Francisco, CA 94158, USA.,University of California San Francisco, Department of Cellular and Molecular Pharmacology, San Francisco, CA, 94158, USA
| | - Zun Zar Chi Naing
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, 94158, USA.,University of California San Francisco, Quantitative Biosciences Institute (QBI), San Francisco, CA, 94158, USA.,J. David Gladstone Institutes, San Francisco, CA 94158, USA.,University of California San Francisco, Department of Cellular and Molecular Pharmacology, San Francisco, CA, 94158, USA
| | - Yuan Zhou
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, 94158, USA.,University of California San Francisco, Quantitative Biosciences Institute (QBI), San Francisco, CA, 94158, USA.,J. David Gladstone Institutes, San Francisco, CA 94158, USA.,University of California San Francisco, Department of Cellular and Molecular Pharmacology, San Francisco, CA, 94158, USA
| | - Shiming Peng
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, 94158, USA.,University of California San Francisco, Quantitative Biosciences Institute (QBI), San Francisco, CA, 94158, USA.,Department of Pharmaceutical Chemistry, University of California, San Francisco
| | - Ilsa T Kirby
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, 94158, USA.,University of California San Francisco, Department of Cellular and Molecular Pharmacology, San Francisco, CA, 94158, USA.,Howard Hughes Medical Institute
| | - James E Melnyk
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, 94158, USA.,University of California San Francisco, Department of Cellular and Molecular Pharmacology, San Francisco, CA, 94158, USA.,Howard Hughes Medical Institute
| | - John S Chorba
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, 94158, USA.,University of California San Francisco, Department of Cellular and Molecular Pharmacology, San Francisco, CA, 94158, USA.,Howard Hughes Medical Institute
| | - Kevin Lou
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, 94158, USA.,University of California San Francisco, Department of Cellular and Molecular Pharmacology, San Francisco, CA, 94158, USA.,Howard Hughes Medical Institute
| | - Shizhong A Dai
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, 94158, USA.,University of California San Francisco, Department of Cellular and Molecular Pharmacology, San Francisco, CA, 94158, USA.,Howard Hughes Medical Institute
| | - Wenqi Shen
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, 94158, USA.,University of California San Francisco, Department of Cellular and Molecular Pharmacology, San Francisco, CA, 94158, USA.,Howard Hughes Medical Institute
| | - Ying Shi
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, 94158, USA.,University of California San Francisco, Department of Cellular and Molecular Pharmacology, San Francisco, CA, 94158, USA.,Howard Hughes Medical Institute
| | - Ziyang Zhang
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, 94158, USA.,University of California San Francisco, Department of Cellular and Molecular Pharmacology, San Francisco, CA, 94158, USA.,Howard Hughes Medical Institute
| | - Inigo Barrio-Hernandez
- European Molecular Biology Laboratory (EMBL), European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge, UK
| | - Danish Memon
- European Molecular Biology Laboratory (EMBL), European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge, UK
| | - Claudia Hernandez-Armenta
- European Molecular Biology Laboratory (EMBL), European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge, UK
| | - Christopher J P Mathy
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, 94158, USA.,University of California San Francisco, Quantitative Biosciences Institute (QBI), San Francisco, CA, 94158, USA.,Department of Bioengineering and Therapeutic Sciences, University of California, San Francisco.,The UC Berkeley-UCSF Graduate Program in Bioengineering, University of California San Francisco, San Francisco, CA, USA
| | - Tina Perica
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, 94158, USA.,University of California San Francisco, Quantitative Biosciences Institute (QBI), San Francisco, CA, 94158, USA.,Department of Bioengineering and Therapeutic Sciences, University of California, San Francisco
| | - Kala B Pilla
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, 94158, USA.,University of California San Francisco, Quantitative Biosciences Institute (QBI), San Francisco, CA, 94158, USA.,Department of Bioengineering and Therapeutic Sciences, University of California, San Francisco
| | - Sai J Ganesan
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, 94158, USA.,University of California San Francisco, Quantitative Biosciences Institute (QBI), San Francisco, CA, 94158, USA.,Department of Bioengineering and Therapeutic Sciences, University of California, San Francisco
| | - Daniel J Saltzberg
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, 94158, USA.,University of California San Francisco, Quantitative Biosciences Institute (QBI), San Francisco, CA, 94158, USA.,Department of Bioengineering and Therapeutic Sciences, University of California, San Francisco
| | - Rakesh Ramachandran
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, 94158, USA.,University of California San Francisco, Quantitative Biosciences Institute (QBI), San Francisco, CA, 94158, USA.,Department of Bioengineering and Therapeutic Sciences, University of California, San Francisco
| | - Xi Liu
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, 94158, USA.,University of California San Francisco, Quantitative Biosciences Institute (QBI), San Francisco, CA, 94158, USA.,Department of Pharmaceutical Chemistry, University of California, San Francisco
| | - Sara B Rosenthal
- Center for Computational Biology and Bioinformatics, Department of Medicine, University of California San Diego
| | - Lorenzo Calviello
- Department of Cell and Tissue Biology, University of California, San Francisco
| | | | - Yizhu Lin
- Department of Cell and Tissue Biology, University of California, San Francisco
| | - Stephanie A Wankowicz
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, 94158, USA.,Department of Bioengineering and Therapeutic Sciences, University of California, San Francisco.,Biophysics Graduate Program, University of California, San Francisco
| | - Markus Bohn
- Department of Pharmaceutical Chemistry, University of California, San Francisco
| | - Raphael Trenker
- Cardiovascular Research Institute, University of California San Francisco, San Francisco, CA, 94158, USA
| | - Janet M Young
- Division of Basic Sciences, Fred Hutchinson Cancer Research Center
| | - Devin Cavero
- Medical Scientist Training Program, University of California, San Francisco, CA 94143, USA.,J. David Gladstone Institutes, San Francisco, CA 94158, USA
| | - Joe Hiatt
- Medical Scientist Training Program, University of California, San Francisco, CA 94143, USA.,J. David Gladstone Institutes, San Francisco, CA 94158, USA
| | - Theo Roth
- Medical Scientist Training Program, University of California, San Francisco, CA 94143, USA.,J. David Gladstone Institutes, San Francisco, CA 94158, USA
| | - Ujjwal Rathore
- Medical Scientist Training Program, University of California, San Francisco, CA 94143, USA.,J. David Gladstone Institutes, San Francisco, CA 94158, USA
| | - Advait Subramanian
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, 94158, USA.,George William Hooper Foundation, Department of Microbiology and Immunology, UC San Francisco
| | - Julia Noack
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, 94158, USA.,George William Hooper Foundation, Department of Microbiology and Immunology, UC San Francisco
| | - Mathieu Hubert
- Virus and Immunity Unit, Institut Pasteur, 28 rue du Dr Roux, 75724 Paris Cedex 15, France
| | - Ferdinand Roesch
- Viral Populations and Pathogenesis Unit, CNRS UMR 3569, Institut Pasteur, 28 rue du Dr Roux, 75724 Paris cedex 15, France
| | - Thomas Vallet
- Viral Populations and Pathogenesis Unit, CNRS UMR 3569, Institut Pasteur, 28 rue du Dr Roux, 75724 Paris cedex 15, France
| | - Björn Meyer
- Viral Populations and Pathogenesis Unit, CNRS UMR 3569, Institut Pasteur, 28 rue du Dr Roux, 75724 Paris cedex 15, France
| | - Kris M White
- Department for Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY
| | - Lisa Miorin
- Department for Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY
| | - David Agard
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, 94158, USA.,Biochemistry & Biophysics and Quantitative Biosciences Institute UCSF 600 16th St San Francisco, CA 94143
| | - Michael Emerman
- Division of Human Biology, Fred Hutchinson Cancer Research Center, Seattle, WA 98103
| | - Davide Ruggero
- Department of Urology, University of California, San Francisco, San Francisco, CA, USA.,Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, CA, 94158, USA.,University of California San Francisco, Department of Cellular and Molecular Pharmacology, San Francisco, CA, 94158, USA
| | - Adolfo García-Sastre
- Department for Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY
| | - Natalia Jura
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, 94158, USA.,Cardiovascular Research Institute, University of California San Francisco, San Francisco, CA, 94158, USA.,University of California San Francisco, Department of Cellular and Molecular Pharmacology, San Francisco, CA, 94158, USA
| | - Mark von Zastrow
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, 94158, USA.,University of California San Francisco, Quantitative Biosciences Institute (QBI), San Francisco, CA, 94158, USA.,University of California San Francisco, Department of Cellular and Molecular Pharmacology, San Francisco, CA, 94158, USA.,University of California San Francisco, Department of Psychiatry, San Francisco, CA, 94158, USA
| | - Jack Taunton
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, 94158, USA.,University of California San Francisco, Quantitative Biosciences Institute (QBI), San Francisco, CA, 94158, USA.,University of California San Francisco, Department of Cellular and Molecular Pharmacology, San Francisco, CA, 94158, USA
| | - Olivier Schwartz
- Virus and Immunity Unit, Institut Pasteur, 28 rue du Dr Roux, 75724 Paris Cedex 15, France
| | - Marco Vignuzzi
- Viral Populations and Pathogenesis Unit, CNRS UMR 3569, Institut Pasteur, 28 rue du Dr Roux, 75724 Paris cedex 15, France
| | - Christophe d'Enfert
- Direction Scientifique, Institut Pasteur, 28 rue du Dr Roux, 75724 Paris cedex 15, France
| | - Shaeri Mukherjee
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, 94158, USA.,George William Hooper Foundation, Department of Microbiology and Immunology, UC San Francisco
| | - Matt Jacobson
- Department of Pharmaceutical Chemistry, University of California, San Francisco
| | - Harmit S Malik
- Division of Basic Sciences, Fred Hutchinson Cancer Research Center
| | - Danica G Fujimori
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, 94158, USA.,University of California San Francisco, Department of Cellular and Molecular Pharmacology, San Francisco, CA, 94158, USA.,Department of Pharmaceutical Chemistry, University of California, San Francisco
| | - Trey Ideker
- Division of Genetics, Department of Medicine, University of California San Diego
| | - Charles S Craik
- Department of Pharmaceutical Chemistry, University of California, San Francisco.,Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, CA, 94158, USA
| | - Stephen Floor
- Department of Cell and Tissue Biology, University of California, San Francisco.,Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, CA, 94158, USA
| | - James S Fraser
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, 94158, USA.,University of California San Francisco, Quantitative Biosciences Institute (QBI), San Francisco, CA, 94158, USA.,Department of Bioengineering and Therapeutic Sciences, University of California, San Francisco
| | - John Gross
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, 94158, USA.,University of California San Francisco, Quantitative Biosciences Institute (QBI), San Francisco, CA, 94158, USA.,Department of Pharmaceutical Chemistry, University of California, San Francisco
| | - Andrej Sali
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, 94158, USA.,University of California San Francisco, Quantitative Biosciences Institute (QBI), San Francisco, CA, 94158, USA.,Department of Pharmaceutical Chemistry, University of California, San Francisco.,Department of Bioengineering and Therapeutic Sciences, University of California, San Francisco
| | - Tanja Kortemme
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, 94158, USA.,Department of Bioengineering and Therapeutic Sciences, University of California, San Francisco.,The UC Berkeley-UCSF Graduate Program in Bioengineering, University of California San Francisco, San Francisco, CA, USA.,University of California San Francisco, Quantitative Biosciences Institute (QBI), San Francisco, CA, 94158, USA
| | - Pedro Beltrao
- European Molecular Biology Laboratory (EMBL), European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge, UK
| | - Kevan Shokat
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, 94158, USA.,University of California San Francisco, Department of Cellular and Molecular Pharmacology, San Francisco, CA, 94158, USA.,Howard Hughes Medical Institute
| | - Brian K Shoichet
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, 94158, USA.,University of California San Francisco, Quantitative Biosciences Institute (QBI), San Francisco, CA, 94158, USA.,Department of Pharmaceutical Chemistry, University of California, San Francisco
| | - Nevan J Krogan
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, 94158, USA.,University of California San Francisco, Quantitative Biosciences Institute (QBI), San Francisco, CA, 94158, USA.,J. David Gladstone Institutes, San Francisco, CA 94158, USA.,University of California San Francisco, Department of Cellular and Molecular Pharmacology, San Francisco, CA, 94158, USA
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9
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Azhar G, Haas K, Wood DJ, van Noort R, Moharamzadeh K. The Effects of Colored Pigments on the Translucency of Experimental Dental Resin Composites. Eur J Prosthodont Restor Dent 2019; 27:3-9. [PMID: 30775872 DOI: 10.1922/ejprd_01855azhar08] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/09/2023]
Abstract
OBJECTIVE Colored pigments are incorporated into dental resin composites to produce clinically acceptable shades for restorative materials but studies on their effects on translucency are rare. The aim of this study was to examine the effects of the addition of different colored pigments on the translucency of experimental dental resin composites. MATERIALS AND METHODS 12 types of experimental dental resin composites containing different concentrations of red and yellow iron oxide pigments were formulated and light-cured. Total and diffuse translucency as well as CIE L*a*b* values were measured and the color differences were calculated. RESULTS There was a statistically significant difference in the translucency values between the composites with no pigments and the composites with increasing concentrations of the pigments (p<0.05). The translucency decreased as the concentration of the pigments increased. However at pigment concentrations greater than 0.02%, the translucency of the composites reached a plateau and ceased to be influenced by the addition of the pigments (p⟨0.05). All color differences were in the range of 3.62-16.00 ΔE*ab unit. CONCLUSIONS The pigments used in this study can influence the translucency of the experimental resin composites and should be considered as an important factor by clinicians to achieve optimal esthetic restorative outcome.
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Affiliation(s)
- G Azhar
- School of Clinical Dentistry, University of Sheffield, Claremont Crescent, Sheffield, S10 2TA
| | - K Haas
- School of Clinical Dentistry, University of Sheffield, Claremont Crescent, Sheffield, S10 2TA
| | - D J Wood
- School of Clinical Dentistry, University of Sheffield, Claremont Crescent, Sheffield, S10 2TA
| | - R van Noort
- School of Clinical Dentistry, University of Sheffield, Claremont Crescent, Sheffield, S10 2TA
| | - K Moharamzadeh
- School of Clinical Dentistry, University of Sheffield, Claremont Crescent, Sheffield, S10 2TA
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10
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Purrucker JC, Wolf M, Haas K, Siedler T, Rizos T, Khan S, Heuschmann PU, Veltkamp R. Microbleeds in ischemic vs hemorrhagic strokes on novel oral anticoagulants. Acta Neurol Scand 2018; 138:163-169. [PMID: 29663313 DOI: 10.1111/ane.12934] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 03/06/2018] [Indexed: 12/14/2022]
Abstract
OBJECTIVES To identify differences in clinical characteristics and severity of cerebral small vessel disease (CSVD) including cerebral microbleeds (CMBs), between patients suffering ischemic stroke (IS) or intracerebral hemorrhage (ICH) while taking novel (non-vitamin K antagonists) oral anticoagulants (NOACs). METHODS Multicenter, prospective, observational cohort study performed at 38 centers between 2012 and 2015. We compared demographics, comorbidity, and functional status (before and after stroke) between NOAC-IS and NOAC-ICH patients. Extent of white matter lesions (WML), and location and counts of CMBs were analyzed in a subgroup of patients for whom MRI including hemorrhage-sensitive sequences was available. RESULTS A total of 351 patients were included (290 NOAC-IS, 61 NOAC-ICH). Functional status was worse in NOAC-ICH patients before and after stroke. No significant differences were found for demographic variables and cardiovascular comorbidity. In the subgroup with available MRI (n = 116), the proportion of patients with at least one CMB was higher in NOAC-ICH than in NOAC-IS (15/19 [79%] vs 36/97 [37%], P < .001), as was the absolute number of CMBs (median 5 [IQR 1-24] vs 0 [0-1], P < .001). WML were more extensive in NOAC-ICH than in NOAC-IS patients. Adjusted for WML, logistic regression analysis showed higher odds of NOAC-ICH in patients with CMB than without (OR 5.60 [1.64-19.14], P = .006). CONCLUSIONS Patients with NOAC-ICH have similar clinical characteristics but a higher prevalent burden of CSVD compared to NOAC-IS. The role of neuroimaging in selection of patients for anticoagulation with NOAC requires further investigation in longitudinal studies.
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Affiliation(s)
- J. C. Purrucker
- Department of Neurology; Heidelberg University Hospital; Heidelberg Germany
| | - M. Wolf
- Department of Neuroradiology; Heidelberg University Hospital; Heidelberg Germany
| | - K. Haas
- Institute of Clinical Epidemiology and Biometry; University Würzburg; Würzburg Germany
| | - T. Siedler
- Institute of Clinical Epidemiology and Biometry; University Würzburg; Würzburg Germany
| | - T. Rizos
- Department of Neurology; Heidelberg University Hospital; Heidelberg Germany
| | - S. Khan
- Department of Neurology; Heidelberg University Hospital; Heidelberg Germany
| | - P. U. Heuschmann
- Institute of Clinical Epidemiology and Biometry; University Würzburg; Würzburg Germany
- Comprehensive Heart Failure Center, and Clinical Trial Center; University Hospital Würzburg; Würzburg Germany
| | - R. Veltkamp
- Department of Neurology; Heidelberg University Hospital; Heidelberg Germany
- Department of Stroke Medicine; Imperial College London; London UK
- NIHR Imperial Biomedical Research Center; London UK
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11
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Haas K, Notay M, Rodriguez W, Rolston M, Clark A, Burney W, Newman J, Pedersen T, Crawford R, Dandekar S, Sivamani R. 383 Doxycycline effects on the gut and skin microbiomes and lipidome in acne. J Invest Dermatol 2018. [DOI: 10.1016/j.jid.2018.03.389] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/17/2022]
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12
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Mackenrodt D, Krebs J, Puppe F, Volkmann J, Heuschmann P, Haas K. Möglichkeit und Validität einer automatisierten Extraktion von Behandlungsinformationen aus dem KIS am Beispiel des Schlaganfalles. Das Gesundheitswesen 2017. [DOI: 10.1055/s-0037-1605909] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
Affiliation(s)
- D Mackenrodt
- Universität Würzburg, Institut für Klinische Epidemiologie und Biometrie, Würzburg
- Universitätsklinikum Würzburg, Neurologische Klinik und Poliklinik, Würzburg
| | - J Krebs
- Universität Würzburg, Lehrstuhl für Informatik VI, Würzburg
| | - F Puppe
- Universität Würzburg, Lehrstuhl für Informatik VI, Würzburg
| | - J Volkmann
- Universitätsklinikum Würzburg, Neurologische Klinik und Poliklinik, Würzburg
| | - P Heuschmann
- Universität Würzburg, Institut für Klinische Epidemiologie und Biometrie, Würzburg
| | - K Haas
- Universität Würzburg, Institut für Klinische Epidemiologie und Biometrie, Würzburg
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13
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Rialdi A, Hultquist J, Jimenez-Morales D, Peralta Z, Campisi L, Fenouil R, Moshkina N, Wang ZZ, Laffleur B, Kaake RM, McGregor MJ, Haas K, Pefanis E, Albrecht RA, Pache L, Chanda S, Jen J, Ochando J, Byun M, Basu U, García-Sastre A, Krogan N, van Bakel H, Marazzi I. The RNA Exosome Syncs IAV-RNAPII Transcription to Promote Viral Ribogenesis and Infectivity. Cell 2017; 169:679-692.e14. [PMID: 28475896 DOI: 10.1016/j.cell.2017.04.021] [Citation(s) in RCA: 41] [Impact Index Per Article: 5.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2016] [Revised: 03/08/2017] [Accepted: 04/14/2017] [Indexed: 01/08/2023]
Abstract
The nuclear RNA exosome is an essential multi-subunit complex that controls RNA homeostasis. Congenital mutations in RNA exosome genes are associated with neurodegenerative diseases. Little is known about the role of the RNA exosome in the cellular response to pathogens. Here, using NGS and human and mouse genetics, we show that influenza A virus (IAV) ribogenesis and growth are suppressed by impaired RNA exosome activity. Mechanistically, the nuclear RNA exosome coordinates the initial steps of viral transcription with RNAPII at host promoters. The viral polymerase complex co-opts the nuclear RNA exosome complex and cellular RNAs en route to 3' end degradation. Exosome deficiency uncouples chromatin targeting of the viral polymerase complex and the formation of cellular:viral RNA hybrids, which are essential RNA intermediates that license transcription of antisense genomic viral RNAs. Our results suggest that evolutionary arms races have shaped the cellular RNA quality control machinery.
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Affiliation(s)
- Alexander Rialdi
- Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY 10029-6574, USA
| | - Judd Hultquist
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, San Francisco, CA 94158-2140, USA
| | - David Jimenez-Morales
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, San Francisco, CA 94158-2140, USA
| | - Zuleyma Peralta
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY 10029-6574, USA
| | - Laura Campisi
- Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY 10029-6574, USA
| | - Romain Fenouil
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY 10029-6574, USA
| | - Natasha Moshkina
- Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY 10029-6574, USA
| | - Zhen Zhen Wang
- Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY 10029-6574, USA
| | - Brice Laffleur
- Department of Microbiology and Immunology, College of Physicians and Surgeons, Columbia University, New York, NY 10032, USA
| | - Robyn M Kaake
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, San Francisco, CA 94158-2140, USA
| | - Michael J McGregor
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, San Francisco, CA 94158-2140, USA
| | - Kelsey Haas
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, San Francisco, CA 94158-2140, USA
| | - Evangelos Pefanis
- Regeneron Pharmaceuticals and Regeneron Genetics Center, Tarrytown, NY 10591, USA
| | - Randy A Albrecht
- Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY 10029-6574, USA
| | - Lars Pache
- Burnham Institute for Medical Research, La Jolla, CA 92037, USA
| | - Sumit Chanda
- Burnham Institute for Medical Research, La Jolla, CA 92037, USA
| | - Joanna Jen
- Department of Neurology, University of California, Los Angeles, CA 90095, USA
| | - Jordi Ochando
- Precision Immunology Institute, Icahn School of Medicine at Mount Sinai, New York, NY 10029-6574, USA
| | - Minji Byun
- Precision Immunology Institute, Icahn School of Medicine at Mount Sinai, New York, NY 10029-6574, USA
| | - Uttiya Basu
- Department of Microbiology and Immunology, College of Physicians and Surgeons, Columbia University, New York, NY 10032, USA
| | - Adolfo García-Sastre
- Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY 10029-6574, USA; Global Health and Emerging Pathogens Institute, Icahn School of Medicine at Mount Sinai, New York, NY 10029-6574, USA; Division of Infectious Diseases, Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, NY 10029-6574, USA
| | - Nevan Krogan
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, San Francisco, CA 94158-2140, USA
| | - Harm van Bakel
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY 10029-6574, USA
| | - Ivan Marazzi
- Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY 10029-6574, USA; Global Health and Emerging Pathogens Institute, Icahn School of Medicine at Mount Sinai, New York, NY 10029-6574, USA.
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Fuchs A, Syrovets T, Loos C, Haas K, Simmet T. Nanoparticle treatment inhibits macrophage polarization towards the anti-inflammatory M2 subset. Eur J Cancer 2016. [DOI: 10.1016/s0959-8049(16)32794-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
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Zell C, Hochberg U, Haas K, Bauer A. Populationsdynamik methanogener Archaeen bei der biologischen Methanisierung von Wasserstoff in Biogasanlagen. CHEM-ING-TECH 2016. [DOI: 10.1002/cite.201650172] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
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16
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Sivakumar S, Taccone FS, Desai KA, Lazaridis C, Skarzynski M, Sekhon M, Henderson W, Griesdale D, Chapple L, Deane A, Williams L, Strickland R, Lange K, Heyland D, Chapman M, Rowland MJ, Garry P, Westbrook J, Corkill R, Antoniades CA, Pattinson KT, Fatania G, Strong AJ, Myers RB, Lazaridis C, Jermaine CM, Robertson CS, Rusin CG, Hofmeijer J, Sondag L, Tjepkema-Cloostermans MC, Beishuizen A, Bosch FH, van Putten MJAM, Carteron L, Patet C, Solari D, Oddo M, Ali MA, Dias C, Almeida R, Vaz-Ferreira A, Silva J, Monteiro E, Cerejo A, Rocha AP, Elsayed AA, Abougabal AM, Beshey BN, Alzahaby KM, Pozzebon S, Ortiz AB, Cristallini S, Lheureux O, Brasseur A, Vincent JL, Creteur J, Taccone FS, Hravnak M, Yousef K, Chang Y, Crago E, Friedlander RM, Abdelmonem SA, Tahon SA, Helmy TA, Meligy HS, Puig F, Dunn-Siegrist I, Pugin J, Gupta S, Govil D, Srinivasan S, Patel SJ, N JK, Gupta A, Tomar DS, Shafi M, Harne R, Arora DP, Talwar N, Mazumdar S, Papakrivou EE, Makris D, Manoulakas E, Tsolaki B, Karadodas B, Zakynthinos E, Garcia IP, Martin AD, Encinares VS, Ibañez MP, Montero JG, Labrador G, Cangueiro TC, Poulose V, Koh J, Kam JW, Yeter H, Stepinska J, Pérez AG, Ordoñez PF, Giribet A, Cuervo MAA, Cuervo RA, Esteban MAR, Fraile LI, Mittelbrum CP, Albaiceta GM, Kara A, Koeze J, Keus F, Dieperink W, van der Horst ICC, van Meurs M, Zijlstra JG, Roberts S, Caballero CH, Isgro G, Hall D, Aktepe O, Beitland S, Trøseid AMS, Brusletto BS, Waldum-Grevbo BE, Berg JP, Sunde K, Huertas DG, Manzano F, Quintana MMJ, Osuna A, Topeli A, Santiago-Ruiz F, Rodríguez-Mejías C, Wangensteen R, Jamaati HR, Masjedi M, Zand F, Hashemian SMR, Sabetian G, Abbasi G, Khaloo V, Tsolakoglou I, Tabei SH, Kafilzadeh A, Bakhodaei HH, Diaz JA, Silva R, Garcia DJ, Luis E, Gomez MN, Soriano R, Gonzalez PL, Intas G, Ibrahim IA, Rafik MM, Al-Ansary AM, Algendi MA, Ali AA, Fuhrmann V, Roedl K, Horvatits T, Drolz A, Rutter K, Stergiannis P, Benten D, Kluwe J, Siedler S, Kluge S, Adedugbe I, Bird GT, Kennedy RM, Sharma S, Butler MB, Yugi G, Kolaros AA, Haroon BA, Witter T, Khaliq W, Singer M, Havaldar AA, Krishna B, Sriram S, Espinoza EDV, Pozo MO, Edul VSK, Chalari E, Furche M, Motta MF, Vazquez AR, Birri PNR, Ince C, Dubin A, Dogliotti A, Ramos A, Lovesio C, Delile E, Athanasiadou E, Nevière R, Thiébaut PA, Maupoint J, Mulder P, Coquerel D, Renet S, do Rego JC, Rieusset J, Richard V, Tamion F, Martika A, Khaliq W, Andreis DT, Singer M, Smit B, Smulders YM, de Waard MC, van Straaten HMO, Girbes ARJ, Eringa EC, Man AMESD, Fildisis G, Alegría L, Soto D, Luengo C, Gomez J, Jarufe N, Bruhn A, Castro R, Kattan E, Tapia P, Rebolledo R, Faivre V, Achurra P, Ospina-Tascón G, Bakker J, Hernández G, Bertini P, Guarracino F, Baldassarri R, Pinsky MR, Alegría L, Vera M, Mengelle C, Dreyse J, Carpio D, Henriquez C, Gajardo D, Bravo S, Castro R, Ospina-Tascón G, Bakker J, Hernández G, Kim S, Favier B, Lee M, Park SY, So S, Lee H, Kačar MB, Kačar SM, Uddin I, Belhaj AM, Aydın MA, Avsec D, Payen D, Kapuağası A, Kaymak Ç, Kovach L, Şencan İ, Meço B, Özçelik M, Ünal N, Lazaridis C, Jenni-Moser B, Jeitziner MM, Poppe A, Galassi MS, Sales FL, de Moraes KCL, Batista CL, Júnior JADS, Marcari TB, Lobato R, Castro CSAA, de Souza LM, Rodrigues FFP, Winkler MS, Correa NG, Pelegrini AM, Eid RAC, Timenetsky KT, Cazati D, Lobato M, Diniz PS, Rocha LL, Cavalheiro AM, Lucinio NM, Mudersbach E, Santos ER, Norrenberg M, Gleize A, Preiser JC, Simón IF, Carmona SA, Valhonrat IL, Domínguez JP, Abellán AN, Almudévar PM, Schreiber J, Dávila F, Rubio JJ, Ramos AJ, Reina ÁJR, López NP, Pérez MA, Apolo DXC, Villén LM, López FMP, García IP, Wruck ML, Izurieta JRN, Guerrero JJE, Calvert S, Quint M, Adeniji K, Young R, Shevill DD, Robertson E, Garside P, Walter E, Schwedhelm E, Isotti P, De Vecchi MM, Perduca AE, Negro A, Villa G, Manara DF, Cabrini L, Zangrillo A, Frencken JF, van Baal L, Kluge S, Peelen LM, Donker DW, Horn J, van der Poll T, van Klei WA, Bonten MJM, Cremer OL, Menard CE, Kumar A, Rimmer E, Zöllner C, Doucette S, Turgeon AF, Houston BL, Houston DS, Zarychanski R, Pinto BB, Carrara M, Ferrario M, Bendjelid K, Nunes J, Tavladaki T, Diaz P, Silva G, Escórcio S, Chaves S, Jardim M, Fernandes N, Câmara M, Duarte R, Pereira CA, Vieira J, Spanaki AM, Nóbrega JJ, Robles CMC, de Oca-Sandoval MAM, Sánchez-Rodríguez A, Joya-Galeana JG, Correa-Morales A, Camarena-Alejo G, Aguirre-Sánchez J, Franco-Granillo J, Soliman M, Dimitriou H, Al Azab A, El Hossainy R, Nagy H, Nirmalan M, Crippa IA, Cavicchi FZ, Vincent JL, Creteur J, Taccone FS, Chaari A, Kondili E, Hakim KA, Hassanein H, Etman M, El Bahr M, Bousselmi K, Khalil ES, Kauts V, Casey WF, Imahase H, Sakamoto Y, Choulaki C, Inoue S, Yamada KC, Koami H, Miike T, Nagashima F, Iwamura T, Boscolo A, Lucchetta V, Piasentini E, Bertini D, Meleti E, Manesso L, Spiezia L, Simioni P, Ori C, Souza RB, Martins AM, Liberatore AMA, Kang YR, Nakamae MN, Vieira JCF, Kafetzopoulos D, Koh IHJ, Hanslin K, Wilske F, Skorup P, Sjölin J, Lipcsey M, Long WJ, Zhen CE, Vakalos A, Avramidis V, Georgopoulos D, Wu SH, Shyu LJ, Li CH, Yu CH, Chen HC, Wang CH, Lin KH, Aray ZE, Gómez CF, Tejero AP, Briassoulis G, Monge DD, Losada VM, Tarancón CM, Cortés SD, Gutiérrez AM, Álvarez TP, Rouze A, Jaffal K, Six S, Stolz K, la Torre AGD, Cattoen V, Nseir S, Arnal JM, Saoli M, Novotni D, Garnero A, Becher T, Buchholz V, Schädler D, Frerichs I, de la Torre-Prados MV, Weiler N, Eronia N, Mauri T, Gatti S, Maffezzini E, Bronco A, Alban L, Sasso T, Marenghi C, Grasselli G, Tsvetanova-Spasova T, Pesenti A, Bellani G, Al-Fares A, Del Sorbo L, Anwar S, Facchin F, Azad S, Zamel R, Ferguson N, Cypel M, Nuevo-Ortega P, Keshavjee S, Fan E, Durlinger E, Spoelstra-de Man A, Smit B, de Grooth HJ, Girbes A, Straaten HOV, Smulders Y, Alfaro MA, Rueda-Molina C, Parrilla F, Meli A, Pellegrini M, Rodriguez N, Goyeneche JM, Morán I, Aguirre H, Mancebo J, Heines SJH, Strauch U, Fernández-Porcel A, Bergmans DCJJ, Blankman P, Shono A, Hasan D, Gommers D, Chung WY, Lee KS, Jung YJ, Park JH, Sheen SS, Camara-Sola E, Park KJ, Worral R, Denham S, Isherwood P, Rees SE, Larraza S, Dey N, Spadaro S, Brohus JB, Winding RW, Salido-Díaz L, Volta CA, Karbing DS, Ampatzidou F, Vlachou A, Kehagioglou G, Karaiskos T, Madesis A, Mauromanolis C, Michail N, Drossos G, García-Alcántara A, Saraj N, Rijkenberg S, Feijen HM, Endeman H, Donnelly AAJ, Morgan E, Garrard H, Buckley H, Russell L, Haase N, Tavladaki T, Perner A, Goh C, Mouyis K, Woodward CLN, Halliday J, Encina GB, Ros J, Lagunes L, Tabernero J, Bosch F, Spanaki AM, Rello J, Huertas DG, Manzano F, Morente-Constantin E, Rivera-Ginés B, Colmenero-Ruiz M, Abellán AN, Pérez LP, Lucendo AP, Almudévar PM, Dimitriou H, Domínguez JP, Villamizar PR, Sanz JG, Simon IF, Valbuena BL, Carmona SA, Pais M, Ramalingam S, Díaz C, Fox L, Kondili E, Santafe M, Barba P, García M, Leal S, Pérez M, Pérez MLP, Abellán AN, Lucendo AP, Almudevar PM, Domínguez JP, Choulaki C, Villamizar PR, Veganzones J, Simón IF, Valbuena BL, Martínez N, Carmona SA, Moors I, Mokart D, Pène F, Lambert J, Meleti DE, Kouatchet A, Mayaux J, Vincent F, Nyunga M, Bruneel F, Laisne L, Rabbat A, Lebert C, Perez P, Chaize M, Kafetzopoulos D, Renault A, Meert AP, Hamidfar R, Jourdain M, Darmon M, Schlemmer B, Chevret S, Lemiale V, Azoulay E, Benoit D, Georgopoulos D, Martins-Branco D, Sousa M, Marum S, Bouw MJ, Galstyan G, Makarova P, Parovichnikova E, Kuzmina L, Troitskaya V, Drize N, Briassoulis G, Gemdzhian E, Savchenko V, Chao HC, Kılıc E, Demiriz B, Uygur ML, Sürücü M, Cınar K, Yıldırım AE, Kiss K, Suberviola B, Köves B, Csernus V, Molnár Z, Ntantana A, Matamis D, Savvidou S, Giannakou M, Gouva M, Nakos G, Koulouras V, Riera J, Gaffney S, Black E, Docking R, Judge C, Drew T, Misran H, Munshi R, McGovern L, Coyle M, Dunne L, Rellan L, Deasy E, Lavin P, Fahy A, Darcy DM, Donnelly M, Ismail NH, Hall T, Wykes K, Jack J, Ngu WC, Sanchez M, Morgan P, Ruiz-Ramos J, Ramirez P, Gordon M, Villarreal E, Frasquet J, Poveda-Andrés JL, Castellanos A, Ijssennagger CE, ten Hoorn S, Robles JC, van Wijk A, van den Broek JM, Tuinman PR, Elmenshawy AM, Hammond BD, Gibbon G, Belcham T, Burton K, Taniguchi LU, Ramos FJS, Lopez E, Momma AK, Martins-Filho APR, Bartocci JJ, Lopes MFD, Sad MH, Rodrigues CM, Pires EMC, Vieira JM, Leite MA, Murbach LD, Vicente R, Osaku EF, Barreto J, Duarte ST, Taba S, Miglioranza D, Gund DP, Lordani CF, Costa CRLM, Ogasawara SM, Jorge AC, Miñambres E, Duarte PAD, Spadaro S, Capuzzo M, Corte FD, Terranova S, Scaramuzzo G, Fogagnolo A, Bertacchini S, Bellonzi A, Ragazzi R, Santibañez M, Volta CA, Cruz C, Nunes A, Pereira FS, Aragão I, Cardoso AF, Santos C, Malheiro MJ, Castro H, Cardoso T, Le Guen M, Paratz J, Kenardy J, Comans T, Coyer F, Thomas P, Boots R, Pereira N, Vilas-Boas A, Gomes E, Dias C, Moore J, Torres J, Carvalho D, Molinos E, Vales C, Araújo R, Cruz C, Nunes A, Pereira FS, Cardoso AF, Santos C, Mason N, Malheiro MJ, Castro H, Cardoso T, Karnatovskaia L, Philbrick K, Ognjen G, Clark M, Montero RM, Varas JL, Sánchez-Elvira LA, Windpassinger M, Delgado CP, Díaz PV, Ruiz BL, Guerrero AP, Galache JAC, Jiménez R, Rebollo S, Alejandro O, Fernández A, Moreno S, Plattner O, Herrera L, Ojados A, Galindo M, Murcia J, Contreras M, Sánchez-Argente S, Bonilla Y, Rodríguez MD, Allegue JM, Cakin Ö, Mascha E, Parlak H, Kirca H, Mutlu F, Aydınlı B, Cengiz M, Ramazanoglu A, Jung EJ, Oh SY, Lee H, Filho NMF, Sessler DI, Ricaldi EF, Gomes SS, Ramos BB, De Lucia CV, Ballalai CS, Oliveira JCA, Araponga GP, Veiga LN, Silva CS, Garrido ME, Research O, Domenech JC, Montalvo AP, Chornet TC, Martinez PC, Ribas MP, Costa RG, Ortega AC, Forbes C, Prescott H, Lal A, Melia U, Khan FA, Dela Pena EG, Dizon JS, Perez PPP, Wong CMJ, Garach MM, Romero OM, Puerta RR, Diaz FA, Bailon AMP, Fontanet J, Pinel AC, Maldonado LP, Kalaiselvan MS, kumar RLS, Renuka MK, Kumar ASA, De Rosa S, Ferrari F, Checcacci SC, Rigobello A, van den Berg JP, Joannidis M, Politi F, Pellizzari A, Bonato R, Fernandez-Carmona A, Macias-Guarasa I, Gutierrez-Rodriguez R, Martinez-Lopez P, Diaz-Castellanos MA, Fernandez-Carmona A, Struys MMRF, Arias-Diaz M, Aguilar-Alonso E, Macias-Guarasa I, Martinez-Lopez P, Diaz-Castellanos MA, Nikandish RN, Artemenko V, Budnyuk A, Bassi GL, Senussi T, Vereecke HEM, Idone F, Xiol EA, Travierso C, Chiurazzi C, Motos A, Amaro R, Hua Y, Fernández-Barat L, Ranzani OT, Bobi Q, Jensen EW, Rigol M, Torres A, Youn A, Hwang JG, Garach MM, Romero OM, Ossorio MEY, Diaz FA, Bailon AMP, Pinel AC, Rood PJT, Maldonado LP, Teixeira C, Figueira H, Oliveira R, Mota A, Aragão I, Kamp O, Cruciger O, Aach M, Kaczmarek C, van de Schoor F, Waydhas C, Schildhauer TA, Hamsen U, Camprubí-Rimblas M, Chimenti L, Guillamat-Prats R, Lebouvier T, Bringué J, Tijero J, Gómez MN, van Tertholen K, Blanch L, Artigas A, Tagliabue G, Ji M, Jagers JVS, Easton PA, Souza RB, Liberatore AMA, Martins AMCRPF, Vieira JCF, Pickkers P, Kang YR, Nakamae MN, Koh IHJ, Hong JY, Shin MH, Park MS, Pomprapa A, Pickerodt PA, Hofferberth MBT, Russ M, van den Boogaard M, Braun W, Walter M, Francis R, Lachmann B, Leonhardt S, Koh IHJ, Souza RB, Martins AMCRPF, Vieira JCF, Liberatore AMA, Beardow ZJ, Landaverde-López A, Canedo-Castillo NA, Esquivel-Chávez A, Arvizu-Tachiquín PC, Sánchez-Hurtado LA, Baltazar-Torres JA, Cardoso V, Krystopchuk A, Castro S, Melão L, Redhead H, Firmino S, Marreiros A, Granja C, Almaziad S, Kubbara A, Barnett W, Nakity R, Alamoudi W, Altook R, Tarazi T, Paramasivam K, Fida M, Safi F, Assaly R, Santini A, Milesi M, Maraffi T, Pugni P, Andreis DT, Cavenago M, Gattinoni L, Numan T, Protti A, Perchiazzi G, Borges JB, Bayat S, Porra L, Broche L, Pellegrini M, Scaramuzzo G, Hedenstierna G, Larsson A, van den Boogaard M, Pellegrini M, Hedenstierna G, Roneus A, Segelsjö M, Vestito MC, Larsson A, Perchiazzi G, Gremo E, Nyberg A, Castegren M, Kamper AM, Pikwer A, Yoshida T, Engelberts D, Otulakowski G, Katira B, Post M, Ferguson ND, Brochard L, Amato MBP, Kavanagh BP, Rood P, Koch N, Huber W, Hoellthaler J, Mair S, Phillip V, Schmid RM, Beitz A, Baladrón V, Calvo FJR, Padilla D, Peelen LM, Villarejo P, Villazala R, Yuste AS, Bejarano N, Steenstra RJ, Banierink H, Hof J, van der Horst IC, Nijsten MW, Hoekstra M, Zeman PM, Roedl K, Sterz F, Horvatits T, Horvatits K, Drolz A, Herkner H, Fuhrmann V, Kott M, Zitta K, Brandt B, Slooter AJ, Schildhauer C, Elke G, Hummitzsch L, Frerichs I, Weiler N, Albrecht M, González LR, Alonso DC, Ortiz AB, Sánchez RDP, van Ewijk CE, Lucas JH, Roedl K, Sterz F, Drolz A, Horvatits K, Horvatits T, Herkner H, Fuhrmann V, Horvatits T, Drolz A, Jacobs GE, Roedl K, Rutter K, Ferlitsch A, Fauler G, Trauner M, Fuhrmann V, Horvatits T, Pischke S, Fischer L, Thaiss F, Girbes ARJ, Koch M, Bangert K, Fuhrmann V, Kluge S, Lohse AW, Nashan B, Sterneck M, Faenza S, Siniscalchi A, Pierucci E, Myatra SN, Mancini E, Ricci D, Gemelli C, Cuoghi A, Magnani S, Atti M, Sotos F, Cánovas J, López A, Burruezo A, Harish MM, Torres D, Herrera-Gutierrez ME, 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Shalhoub V, Shatzen EM, Ward SC, Young JI, Boedigheimer M, Twehues L, McNinch J, Scully S, Twomey B, Baker D, Kiaei P, Damore MA, Pan Z, Haas K, Martin D. Chondro/osteoblastic and cardiovascular gene modulation in human artery smooth muscle cells that calcify in the presence of phosphate and calcitriol or paricalcitol. J Cell Biochem 2011; 111:911-21. [PMID: 20665672 PMCID: PMC3470918 DOI: 10.1002/jcb.22779] [Citation(s) in RCA: 21] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Vitamin D sterol administration, a traditional treatment for secondary hyperparathyroidism, may increase serum calcium and phosphorus, and has been associated with increased vascular calcification (VC). In vitro studies suggest that in the presence of uremic concentrations of phosphorus, vitamin D sterols regulate gene expression associated with trans-differentiation of smooth muscle cells (SMCs) to a chondro/osteoblastic cell type. This study examined effects of vitamin D sterols on gene expression profiles associated with phosphate-enhanced human coronary artery SMC (CASMC) calcification. Cultured CASMCs were exposed to phosphate-containing differentiation medium (DM) with and without calcitriol, paricalcitol, or the calcimimetic R-568 (10(-11)-10(-7) M) for 7 days. Calcification of CASMCs, determined using colorimetry following acid extraction, was dose dependently increased (1.6- to 1.9-fold) by vitamin D sterols + DM. In contrast, R-568 did not increase calcification. Microarray analysis demonstrated that, compared with DM, calcitriol (10(-8) M) + DM or paricalcitol (10(-8) M) + DM similarly and significantly (P < 0.05) regulated genes of various pathways including: metabolism, CYP24A1; mineralization, ENPP1; apoptosis, GIP3; osteo/chondrogenesis, OPG, TGFB2, Dkk1, BMP4, BMP6; cardiovascular, HGF, DSP1, TNC; cell cycle, MAPK13; and ion channels, SLC22A3 KCNK3. R-568 had no effect on CASMC gene expression. Thus, SMC calcification observed in response to vitamin D sterol + DM may be partially mediated through targeting mineralization, apoptotic, osteo/chondrocytic, and cardiovascular pathway genes, although some gene changes may protect against calcification. Further studies to determine precise roles of these genes in development of, or protection against VC and cardiovascular disease are required.
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Affiliation(s)
- V Shalhoub
- Department of Metabolic Disorders, Amgen, Inc., Thousand Oaks, California, USA.
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Maier M, Haas K, Feucht N, Fiore B, Winkler von Mohrenfels C, Clos A, Lohmann C. [Photodynamic therapy with verteporfin combined with intravitreal injection of bevacizumab for occult and classic CNV in AMD]. Klin Monbl Augenheilkd 2008; 225:653-9. [PMID: 18642209 DOI: 10.1055/s-2008-1027455] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/21/2022]
Abstract
PURPOSE The aim of this study is to discuss the effect and outcome of a combined photodynamic therapy and intravitreal injection of bevacizumab (1.25 mg) in occult and classic choroidal neovascularisation (CNV) due to AMD. Especially cases of occult CNV with pigment epithelium detachment (PED) are not likely to respond positively to standard photodynamic therapy, often ending up in PED enlargement or tearing of the RPE. METHODS In a pilot study involving 23 patients, intravitreal injections of bevacizumab were administered within 12 to 24 hours after standard PDT to reduce the post-PDT increase of proangiogenic and inflammatory factors. Before and at 1, 3 and 6 month after treatment visual acuity and OCT examinations (retinal thickness) were performed. RESULTS Mean visual acuity was significantly improved compared to baseline. (VA baseline 20/125, after 1 month 20/80, after 3 months 20/80, and 20/80 after 6 months) and an enlargement of the PED in occult CNV was prevented. We found no RPE rip. OCT findings in patients with occult and classic choroidal neovascularisation 1, 3 and 6 months after combination therapy showed a reduced retinal thickness compared to baseline. CONCLUSIONS Photodynamic therapy combined with injection of intravitreal bevacizumab tends to be more effective compared to PDT monotherapy by reducing the post-PDT increase of vascular growth and inflammatory factors. Our short-term results are very promising. Further studies are necessary to show the long-term effect of PDT and anti-VEGF combination therapy.
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Affiliation(s)
- M Maier
- Augenklinik, Klinikum rechts der Isar der TU München.
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Maier M, Feucht N, Haas K, Fiore B, Winkler von Mohrenfels C, Clos A, Lohmann C. Bevacizumab intravitreal zur Behandlung okkulter und minimal klassischer choroidaler Neovaskularisation (CNV) bei AMD. Klin Monbl Augenheilkd 2008; 225:818-24. [DOI: 10.1055/s-2008-1027638] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/21/2022]
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Shalhoub V, Shatzen E, Henley C, Boedigheimer M, McNinch J, Manoukian R, Damore M, Fitzpatrick D, Haas K, Twomey B, Kiaei P, Ward S, Lacey DL, Martin D. Calcification inhibitors and Wnt signaling proteins are implicated in bovine artery smooth muscle cell calcification in the presence of phosphate and vitamin D sterols. Calcif Tissue Int 2006; 79:431-42. [PMID: 17171500 DOI: 10.1007/s00223-006-0126-z] [Citation(s) in RCA: 34] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/02/2006] [Accepted: 08/12/2006] [Indexed: 12/19/2022]
Abstract
Administration of active vitamin D sterols to treat secondary hyperparathyroidism in patients with chronic kidney disease receiving dialysis has been associated with elevated serum calcium and phosphorus levels, which may lead to increased risk of vascular calcification. However, calcimimetics, by binding to the parathyroid gland calcium-sensing receptors, reduce serum parathyroid hormone, calcium, phosphorus, and the calcium-phosphorus product. Using cultured bovine aorta vascular smooth muscle cells (BASMCs), an in vitro model of vascular calcification, we compared calcification levels and gene expression profiles after exposure to the phosphate source ss-glycerolphosphate (BGP), the active vitamin D sterols calcitriol and paricalcitol, the calcimimetic R-568, or BGP with the active vitamin D sterols or R-568. Cells exposed to BGP (10 mM) alone or with calcitriol or paricalcitol showed dose-dependent BASMC calcification. No change in calcification was observed in cultures exposed to BGP with R-568, consistent with the observed lack of calcium-sensing receptor expression. Microarray analysis using total cellular RNA from cultures exposed to vehicle or BGP in the absence and presence of 10(-8) M calcitriol or paricalcitol for 7 days showed that cells exposed to BGP with calcitriol or BGP with paricalcitol had virtually identical gene expression profiles, which differed from those of cells treated with BGP or vehicle alone. Several osteoblast- and chondrocyte-associated genes were modulated by BGP and vitamin D exposure. In this study, exposure of BASMCs to phosphate and active vitamin D sterols induced calcification and changes in expression of genes associated with mineralized tissue.
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MESH Headings
- Alkaline Phosphatase/metabolism
- Aniline Compounds/pharmacology
- Animals
- Aorta/drug effects
- Aorta/metabolism
- Aorta/pathology
- Calcinosis/chemically induced
- Calcinosis/metabolism
- Calcinosis/prevention & control
- Calcitriol/pharmacology
- Calcium/agonists
- Calcium/metabolism
- Calcium/pharmacology
- Cattle
- Cells, Cultured
- Drug Combinations
- Ergocalciferols/pharmacology
- Gene Expression/drug effects
- Glycerophosphates/pharmacology
- Muscle, Smooth, Vascular/drug effects
- Muscle, Smooth, Vascular/metabolism
- Muscle, Smooth, Vascular/pathology
- Oligonucleotide Array Sequence Analysis
- Phenethylamines
- Phosphorus/metabolism
- Phosphorus/pharmacology
- Propylamines
- Receptors, Calcitriol/genetics
- Receptors, Calcitriol/metabolism
- Receptors, Calcium-Sensing/drug effects
- Receptors, Calcium-Sensing/genetics
- Receptors, Calcium-Sensing/metabolism
- Signal Transduction
- Wnt Proteins/physiology
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Affiliation(s)
- V Shalhoub
- Department of Metabolic Disorders, Amgen, Inc., One Amgen Center Drive, Thousand Oaks, CA 91320, USA.
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Gorb E, Haas K, Henrich A, Enders S, Barbakadze N, Gorb S. Composite structure of the crystalline epicuticular wax layer of the slippery zone in the pitchers of the carnivorous plant Nepenthes alata and its effect on insect attachment. ACTA ACUST UNITED AC 2006; 208:4651-62. [PMID: 16326946 DOI: 10.1242/jeb.01939] [Citation(s) in RCA: 95] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022]
Abstract
The slippery zone situated below the peristome inside pitchers of most carnivorous plants from the genus Nepenthes is covered with a thick layer of epicuticular wax. This slippery zone is reported to play a crucial role in animal trapping and prey retention. In N. alata, the wax coverage consists of two clearly distinguished layers. These layers differ in their structure, chemical composition and mechanical properties, and they reduce the insect attachment in different ways. The lower layer resembles foam, composed of interconnected membraneous platelets protruding from the surface at acute angles. The upper layer consists of densely placed separate irregular platelets, located perpendicular to the subjacent layer. Crystals of the upper layer bear small stalks, directed downwards and providing connections to the lower layer. These morphological distinctions correlate with differences in the chemical composition of waxes. The compound classes of alkanes, aldehydes, primary alcohols, free fatty acids, esters and triterpenoids occurred in extracts from both wax layers, but in different proportions. Chain length distributions in aliphatics were different in extracts from the lower and the upper wax layers. Waxes of the upper and lower layers exhibited different mechanical properties: wax of the lower layer is harder and stiffer than that of the upper layer. Moreover, crystals of the upper layer are brittle and may be easily exfoliated or broken to tiny pieces. Laboratory experiments using tethered insects showed that both wax layers reduce the attachment force of insects. It is assumed that a decrease in insect attachment on the two distinct wax layers is provided by the two different mechanisms: (1) crystals of the upper wax layer contaminate insects' adhesive pads; (2) the lower wax layer leads to a reduction of the real contact area of insects' feet with the plant surface.
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Affiliation(s)
- E Gorb
- Evolutionary Biomaterials Group, Department Arzt, Max Planck Institute for Metals Research, and Institute of Botany, University of Hohenheim, Stuttgart, Germany.
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Davis WC, Konzek RL, Haas K, Estes DM, Hamilton MJ, Call DR, Apostolopoulos V, McKenzie IFC. Use of the mannan receptor to selectively target vaccine antigens for processing and antigen presentation through the MHC class I and class II pathways. Ann N Y Acad Sci 2002; 969:119-25. [PMID: 12381575 DOI: 10.1111/j.1749-6632.2002.tb04362.x] [Citation(s) in RCA: 13] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
Extensive studies have shown that synthetic and recombinant vaccines developed against hemoparasites have not been as effective as whole parasites or crude membrane fractions in eliciting protective immunity. A possible reason is that synthetic vaccines are not being presented in a form that induces the appropriate immune response. We have developed a bovine model system to evaluate the ability of adjuvant compounds to induce an immune response to peptide antigens dominated by a cytokine profile with a Type 1 (cell-mediated) or Type 2 (humoral) bias. In the initial testing of this system, we found that mRNA expression of certain cytokines (interleukin [IL]-1beta, IL-6, IL-12, IL-15, GM-CSF, iNOS, and tumor necrosis factor [TNF]-alpha) is enhanced when monocyte-derived macrophages are stimulated with peptide antigen conjugated with mannan under oxidizing conditions compared to peptide conjugated with reduced mannan. The data suggest this model will be useful in identifying adjuvant systems that selectively modulate the cytokine profile of antigen presenting cells at the time of antigen presentation and the consequent downstream maturation of naive T cells to effector cells with Type 1 or Type 2 cytokine bias.
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Affiliation(s)
- W C Davis
- Department of Veterinary Microbiology and Pathology, CVM, Washington State University, Pullman, Washington 99164-7040, USA.
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Haas K, Feldmann J, Wennrich R, Stärk HJ. Species-specific isotope-ratio measurements of volatile tin and antimony compounds using capillary GC-ICP-time-of-flight MS. Fresenius J Anal Chem 2001; 370:587-96. [PMID: 11496991 DOI: 10.1007/s002160100797] [Citation(s) in RCA: 19] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/27/2022]
Abstract
The analytical performance of an axial inductively-coupled-plasma time-of-flight mass spectrometer (ICP-TOFMS) as a detector for fast transient chromatographic signals resulting from the coupling to capillary gas chromatography (CGC) was investigated. A cryotrapping GC-ICP-TOFMS method for the determination of volatile metal(loid) compounds (VOMs) in gases was used and the suitability of the TOF mass analyzer for multielemental speciation analysis and multi-isotope ratio determinations was studied in terms of accuracy and precision. Isotope ratios 118Sn/120Sn and 121Sb/123Sb have been determined in in-house gas standard atmospheres in Tedlar bags at two different levels (100 pg and 1 ng) for different elemental species (SnH4, MeSnH3, Me2SnH2, Me3SnH, BuSnH3, SbH3, and MeSbH2). A limitation arising from counting statistics in both detection modes could be shown. A solution containing rhodium (10 ng mL(-1)) and cadmium (40 ng mL(-1)) was introduced simultaneously to the GC outlet. Rhodium acts as a continuous internal standard and Cd is used for mass-bias correction (by measuring the 111Cd/113Cd ratio). The detection system in both pulse counting and analog mode was examined. The best attainable precision was established for Me2SnH2 (analog mode, 12 replicates, 1 ng, RSD 0.34%, accuracy 0.31%) whereas most other species ranged between 0.4 and 0.5% RSD if higher concentrations were used. The limitations of the pulse counting system are clearly seen, with peak heights of more than 2000 counts reaching saturation (for an integration time of 100 ms), which reduces the accuracy of isotope ratio determinations. A dozen VOM could be detected in an aged landfill gas sample; several unidentified Sn compounds were present. Although their isotope ratios are within the confidence value of the standards, it is not yet clear if the acquired precision is good enough to identify isotopic fractionation of metal(loid)s through biovolatilization processes. With the precision achieved, the combination of cryotrapping GC and ICP-TOFMS is a powerful tool for monitoring volatile multi-element species in multi-tracer experiments and isotope dilution methodology.
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Affiliation(s)
- K Haas
- University of Aberdeen, Department of Chemistry, Scotland, UK
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Kempe A, Steiner JF, Renfrew BL, Lowery E, Haas K, Berman S. How much does a regional immunization registry increase documented immunization rates at primary care sites in rural colorado? Ambul Pediatr 2001; 1:213-6. [PMID: 11888403 DOI: 10.1367/1539-4409(2001)001<0213:hmdari>2.0.co;2] [Citation(s) in RCA: 14] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Abstract
OBJECTIVE To determine increases in immunization up-to-date (UTD) rates at a rural pediatric practice with the sequential addition of records from other sites in a 2-county region. DESIGN/METHODS UTD rates for children aged 3 months to 35 months (n = 876) were determined for the index practice and then recalculated after sequential addition of records from 1) the other private practice in the region, 2) 7 public primary care sites, and 3) 2 public health clinics in the region. RESULTS Adding records from all sites increased documented UTD rates in the index practice from 49% to 64% at 3 months (N = 33, P = 0.025), 50% to 68% at 5 months (N = 38, P = 0.008), 28% to 45% at 7 months (N = 113, P <.01), 29% to 54% at 12 months (N = 200, P <.001), 11% to 35% at 19 months (N = 124, P <.001), and 10% to 33% at 24 months (N = 368, P <.001). CONCLUSIONS Regional registries will be valuable tools for immunization delivery if there is an ongoing commitment to effective collection of current and historical immunization data.
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Affiliation(s)
- A Kempe
- Department of Pediatrics, University of Colorado Health Sciences Center, Denver 80218, USA.
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31
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Haas K. MAPing the path from neuronal activity to spine motility. Trends Neurosci 2001; 24:256-7. [PMID: 11311366 DOI: 10.1016/s0166-2236(00)01839-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
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32
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Foa L, Rajan I, Haas K, Wu GY, Brakeman P, Worley P, Cline H. The scaffold protein, Homer1b/c, regulates axon pathfinding in the central nervous system in vivo. Nat Neurosci 2001; 4:499-506. [PMID: 11319558 DOI: 10.1038/87447] [Citation(s) in RCA: 60] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Abstract
Homer proteins are a family of multidomain cytosolic proteins that have been postulated to serve as scaffold proteins that affect responses to extracellular signals by regulating protein-protein interactions. We tested whether Homer proteins are involved in axon pathfinding in vivo, by expressing both wild-type and mutant isoforms of Homer in Xenopus optic tectal neurons. Time-lapse imaging demonstrated that interfering with the ability of endogenous Homer to form protein-protein interactions resulted in axon pathfinding errors at stereotypical choice points. These data demonstrate a function for scaffold proteins such as Homer in axon guidance. Homer may facilitate signal transduction from cell-surface receptors to intracellular proteins that govern the establishment of axon trajectories.
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Affiliation(s)
- L Foa
- Cold Spring Harbor Laboratory, Cold Spring Harbor, New York 11724, USA
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Abstract
We report an electroporation technique for targeting gene transfer to individual cells in intact tissue. Electrical stimulation through a micropipette filled with DNA or other macromolecules electroporates a single cell at the tip of the micropipette. Electroporation of a plasmid encoding enhanced green fluorescent protein (GFP) into the brain of intact Xenopus tadpoles or rat hippocampal slices resulted in GFP expression in single neurons and glia. In vivo imaging showed morphologies, dendritic arbor dynamics, and growth rates characteristic of healthy cells. Coelectroporation of two plasmids resulted in expression of both proteins, while electroporation of fluorescent dextrans allowed direct visualization of transfer of molecules into cells. This technique will allow unprecedented spatial and temporal control over gene delivery and protein expression.
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Affiliation(s)
- K Haas
- Cold Spring Harbor Laboratory, Cold Spring Harbor, NY 11724, USA
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Abstract
The formation of CNS circuits is characterized by the coordinated development of neuronal structure and synaptic function. The activity-regulated candidate plasticity gene 15 (cpg15) encodes a glycosylphosphatidylinositol (GPI)-linked protein whose in vivo expression increases the dendritic arbor growth rate of Xenopus optic tectal cells. We now demonstrate that tectal cell expression of CPG15 significantly increases the elaboration of presynaptic retinal axons by decreasing rates of branch retractions. Whole-cell recordings from optic tectal neurons indicate that CPG15 expression promotes retinotectal synapse maturation by recruiting functional AMPA receptors to synapses. Expression of truncated CPG15, lacking its GPI anchor, does not promote axon arbor growth and blocks synaptic maturation. These results suggest that CPG15 coordinately increases the growth of pre- and postsynaptic structures and the number and strength of their synaptic contacts.
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Affiliation(s)
- I Cantallops
- Cold Spring Harbor Laboratory, 1 Bungtown Rd., Cold Spring Harbor, New York 11724, USA
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Affiliation(s)
- K Haas
- Cold Spring Harbor Laboratory, 1 Bungtown Road, Beckman Building, Cold Spring Harbor NY 11724, USA
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Abstract
The sampling of volatile metal(loid) compounds (VOMs) such as hydrides, methylated, and permethylated species of arsenic, antimony, and tin is described using Tedlar bags. Advantages as well as limitations and constraints are discussed and compared to other widely used sampling techniques within this area, namely, stainless steel canisters, cryotrapping, and solid adsorbent cartridges. To prove the suitability of Tedlar bags for the sampling of volatile metal(loid) compounds, series of stability tests have been run using both laboratory synthetic and real samples analyzed periodically after increasing periods of storage. The samples have been stored in the dark at 20 degrees C and at 50 degrees C. Various volatile arsenic species (AsH3, MeAsH2, Me2AsH, Me3As), tin species (SnH4, MeSnH3, Me2SnH2, Me3SnH, Me4Sn, BuSnH3), and antimony species (SbH3, MeSbH2, Me2SbH, Me3Sb) have been generated using hydride generation methodology and mixed with moisturized air. Three static gaseous atmospheres with concentrations of 0.3-18 ng/L for the various compounds have been generated in Tedlar bags, and the stability of the VOMs has been monitored over a period of 5 weeks. Sewage sludge digester gas samples have been stored only at 20 degrees C for a period of 48 h. Cryotrapping GC/ICPMS has been used for the determination of the VOMs with a relative standard deviation of 5% for 100 pg. After 8 h, the recovery rate of all the compounds in the air atmospheres was better than 95% at 20 and 50 degrees C, whereas the recovery after 24 h was found to be between 81 and 99% for all VOMs at 20 and 50 degrees C except for Me3Sb and Me3As. These species show a loss between 48 and 73% at both temperatures. After 5 weeks at 20 degrees C, a loss of only 25-50% for arsine and stibine and the above-mentioned tin compounds was determined. Only Me3Sb, Me3Bi, and Me2Te were present in the digester gas sample. After 24 h, losses of 44, 10, and 12%, respectively, could be determined. Given these results, Tedlar bags could even be used, with some limitations, for long-term sampling of air containing traces of VOMs. The loss is more pronounced at higher temperatures.
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Affiliation(s)
- K Haas
- Department of Chemistry, University of Aberdeen, Old Aberdeen, Scotland, UK
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Abstract
Cuticular waxes of Viscum album ssp. album contain oleanolic acid as main constituent, accompanied by aliphatic compounds like alkanes, esters and primary alcohols. A number of flavonol aglycones (methyl ethers of quercetin and kaempferol) have also been identified. Seasonal changes in amount and composition of cuticular waxes and the presence of flavonol aglycones are described and the ecophysiological significance of flavonoids on the surface of the mistletoe is briefly discussed.
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Affiliation(s)
- E Wollenweber
- Institut für Botanik der Technischen Universität, Darmstadt, Germany.
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Karsunky H, Geisen C, Schmidt T, Haas K, Zevnik B, Gau E, Möröy T. Oncogenic potential of cyclin E in T-cell lymphomagenesis in transgenic mice: evidence for cooperation between cyclin E and Ras but not Myc. Oncogene 1999; 18:7816-24. [PMID: 10618723 DOI: 10.1038/sj.onc.1203205] [Citation(s) in RCA: 34] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/27/2023]
Abstract
To study the oncogenic activity of cyclin E in an in vivo system we generated transgenic mice expressing high levels of cyclin E in T-lymphocytes by using a construct containing the CD2 locus control region. These animals were neither predisposed to develop any tumors spontaneously nor showed an increased incidence when crossbred with Emu L-myc transgenic mice but developed hyperplasia in peripheral lymphoid organs at later age with an incidence of 27%. When treated with the DNA methylating carcinogen N-methylnitrosourea (MNU) that provokes the development of T-cell lymphomas, CD2-cyclin E transgenic animals came down with T-cell neoplasia showing a significant higher incidence (54%) than normal non transgenic controls (31%). In one of eight tumors that arose in normal MNU treated mice we could find an expected activating point mutation in the Ki-ras gene (12.5%). In contrast, the same mutation occurred in five of 16 tumors from CD2-cyclin E transgenic mice (31.2%). Whereas cyclin E overexpression alone did not lead to an increased CDK2 activity we observed in all tumors that emerged from either MNU treated normal mice or treated CD2-cyclin E transgenics a downregulation of p27KIP1 and a higher histone H1 kinase activity in CDK2 immunoprecipitates compared to normal tissue. These findings demonstrate that high level expression of cyclin E can predispose T-cells for hyperplasia and malignant transformation. However, the results also suggest that this activity of cyclin E is manifest only when other cooperating oncogenes in particular ras genes are present and activated. This would be consistent with our previous finding that cyclin E and Ha-Ras cooperate in focus formation assays in rat embryo fibroblasts.
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Affiliation(s)
- H Karsunky
- Institut für Zellbiologie (Tumorforschung), IFZ, Universitätsklinikum Essen, Virchowstrasse 173, D-45122 Essen, Germany
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Mensink GB, Thamm M, Haas K. [Nutrition in Germany 1998]. Gesundheitswesen 1999; 61 Spec No:S200-6. [PMID: 10726421] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/15/2023]
Abstract
In addition to the German National Health Interview and Examination Survey, the German Nutrition Survey 1998 (GeNuS) was conducted in a subsample of 4030 participants. Among these persons, a comprehensive dietary interview was performed with use of the software DISHES 98. The proportion of 33-34% energy from fat is considerably less than the 40% energy from fat which was estimated about ten years ago. In general, the supply of most vitamins, minerals and trace elements is sufficient. For a part of the population, the intake of dietary fibre, vitamins D and E, folate, zinc, iodine and, among women, also vitamins B1, B2, B6, iron and phosphorus is on a suboptimal level. Observed differences in dietary habits in the eastern and western part of Germany did not have an obviously more favourable dietary pattern in any part of Germany.
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Haas K, Ben-Dor D, Levartovsky S. Treatment of conjunctival corneal intraepithelial neoplasia with topical mitomycin C. Arch Ophthalmol 1999; 117:544-5. [PMID: 10206591 DOI: 10.1001/archopht.117.4.544] [Citation(s) in RCA: 19] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/14/2022]
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Abstract
Femoral artery pseudoaneurysms following invasive angiographic procedures are an increasingly common phenomenon, especially since the advent of thrombolytic therapy and the use of larger arterial catheters. This article describes the critical care nurse's role in identifying and assessing patients at risk for pseudoaneurysms, managing a patient who develops this complication, and assisting with treatment. Preventing pseudoaneurysms--and recognizing them promptly if they occur--can reduce patient hospitalization and mortality.
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Affiliation(s)
- K Haas
- Cardiac Reference Center, University of Ottawa Heart Institute, Ontario
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Abstract
The non-steroidal anti-inflammatory drug sulindac is used in cancer prevention and therapy, but the molecular aspects of its anti-tumor effect remain unresolved. In vivo the prodrug sulindac, is converted into the metabolite sulindac sulfide. We found that sulindac sulfide strongly inhibits Ras induced malignant transformation and Ras/Raf dependent transactivation. Sulindac sulfide decreases the Ras induced activation of its main effector, the c-Raf-1 kinase. In vitro sulindac sulfide directly binds to the Ras gene product p21ras in a non-covalent manner. Moreover, we can show that sulindac sulfide inhibits the interaction of p21ras with the p21ras binding domain of the Raf protein. In addition, sulindac sulfide can impair the nucleotide exchange on p21ras by CDC25 as well as the acceleration of the p21ras GTPase reaction by p120GAP. Due to its action at the most critical site in Ras signaling we propose sulindac sulfide as a lead compound in the search for novel anti-cancer drugs which directly inhibit Ras mediated cell proliferation and malignant transformation.
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Affiliation(s)
- C Herrmann
- Max-Planck-Institut für molekulare Physiologie, Abteilung für Strukturelle Biologie, Dortmund, Germany
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45
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Abstract
Glutamatergic transmission was examined in tadpole optic tectum to test the possibility that transmitter concentration reaching N-methyl-D-aspartate (NMDA) receptors increases over development. Pharmacologically isolated NMDA receptor-mediated transmission was monitored with whole-cell recordings. Synaptic responses were recorded from cells at different locations in the optic tectum, corresponding to different stages of development. Rise-times and decay-times of NMDA currents were analyzed. We found no significant correlation between rise-time and developmental stage. As NMDA rise-times can correlate with concentration for glutamate concentrations below 200 microM, these results argue that, if there is developmental variation in transmitter concentration, this occurs for values greater than 200 microM. Furthermore, we found a correlation between rise-times and decay-times, consistent with a model in which transmitter concentration is high and rise-time is controlled by channel closings. These results argue against synaptic models in which low concentrations of transmitter (as by spillover from nearby release sites) selectively activates NMDA receptors.
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Affiliation(s)
- K Haas
- Cold Spring Harbor Laboratory, NY 11724, USA
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46
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Sick H, Roos N, Saggau E, Haas K, Meyn V, Walch B, Trugo N. Amino acid utilization and isotope discrimination of amino nitrogen in nitrogen metabolism of rat liver in vivo. Z Ernahrungswiss 1997; 36:340-6. [PMID: 9467229 DOI: 10.1007/bf01617819] [Citation(s) in RCA: 49] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
Urea and plasma protein differ in natural 15N abundance up to 10%. The origin of this difference is the branched nitrogen metabolism in the liver. One main branch is the protein synthesis pathway, the other the urea synthesis pathway. By this branching 15N of precursor amino acids is depleted in urea while it is enriched in protein. With the 15N abundance of precursor amino acids, which may be taken from jejunum tissue, utilization of amino acids in liver metabolism can be calculated from isotope discrimination in either pathway. This was investigated by feeding different proteins to rats. When feeding high quality protein (whey protein) utilization of amino acids in liver metabolism at requirement intake was better than at zero protein intake (> 85% vs. 70%). From this we conclude that the pattern of amino acids available from the metabolic pool at zero protein intake is characterized by an imbalance. This endogenous imbalance can be complemented by exogenous dietary amino acids so that nitrogen excretion may even be smaller than the so-called "obligatory" losses of intakes not exceeding requirement. Thus, the quality of dietary protein is reflected not only by N balance. It also may be quantified by analysis of isotope discrimination in nitrogen metabolism of the liver. In addition, the quality of amino acid pattern available from the metabolic pool is indicated by this method.
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Affiliation(s)
- H Sick
- Institute of Physiology and Biochemistry of Nutrition, Federal Dairy Research Center, Kiel, Germany
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47
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Haas K, Johannes C, Geisen C, Schmidt T, Karsunky H, Blass-Kampmann S, Obe G, Möröy T. Malignant transformation by cyclin E and Ha-Ras correlates with lower sensitivity towards induction of cell death but requires functional Myc and CDK4. Oncogene 1997; 15:2615-23. [PMID: 9399649 DOI: 10.1038/sj.onc.1201434] [Citation(s) in RCA: 40] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/05/2023]
Abstract
We demonstrate in this paper that the G1 phase specific cell cycle regulator cyclin E is able to provoke focus formation when cotransfected with activated Ha-ras into primary rat embryo fibroblasts (REFs). Cyclin E/Ha-ras transformed cells are highly tumorigenic in synergeneic rats, are able to form colonies in soft agar and show protection towards apoptosis upon serum starvation or DNA damage compared to cells transformed by the combination of Myc, cyclin D1 or SV40 large T-antigen and Ha-ras. Lines that were established after cyclin E/Ha-ras or cyclin D1/Ha-ras transformation contain a large percentage of polyploid cells. This was not observed in cells transformed with other oncoproteins and Ha-ras pointing to an involvement of D- and E type cyclins in genomic instability. The cyclin dependent kinase inhibitors p21 and p27 but also p16 completely abrogate focus formation by cyclin E and Ha-ras suggesting that the oncogenic activity of cyclin E still requires functional G1 specific cyclin/CDK complexes. Moreover, inhibition of Myc function also blocks the oncogenic activity of cyclin E indicating a requirement of Myc for cyclin E function. The findings presented here demonstrate that cyclin E can act as an oncoprotein with a potential involvement in genomic instability and the prevention of cell death. Our data also present more evidence for a strict functional interdependency between G1 cyclin/CDK complexes and c-Myc.
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Affiliation(s)
- K Haas
- Institut für Zellbiologie (Tumorforschung), I F Z, Universitätsklinikum Essen, Germany
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48
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Haas K, Staller P, Geisen C, Bartek J, Eilers M, Möröy T. Mutual requirement of CDK4 and Myc in malignant transformation: evidence for cyclin D1/CDK4 and p16INK4A as upstream regulators of Myc. Oncogene 1997; 15:179-92. [PMID: 9244353 DOI: 10.1038/sj.onc.1201171] [Citation(s) in RCA: 58] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/04/2023]
Abstract
We demonstrate in this paper that CDK4 which is a G1 phase specific cell cycle regulator and catalytic subunit of D-type cyclins has oncogenic activity similar to D-type cyclins themselves and is able to provoke focus formation when cotransfected with activated Ha-ras into primary rat embryo fibroblasts. Surprisingly, using two different mutants we show that CDK4's ability to bind to p16INK4a and not its kinase activity is important for its transforming potential. In addition, p16INK4a but not a mutant form that is found in human tumours can completely abrogate focus formation by CDK4 suggesting that CDK4 can malignantly transform cells by sequestering p16INK4a or other CKIs. We demonstrate that both cyclin D1 and CDK4 functionally depend on active Myc to exert their potential as oncogenes and vice versa that the transforming ability of Myc requires functional cyclin D/CDK complexes. Moreover, we find that p16INK4a and the Rb related protein p107 which releases Myc after phosphorylation by cyclin D1/CDK4 efficiently block Myc's activity as a transcriptional transactivator and as an oncogene. We conclude that both p16INK4a and cyclin D/CDK4 complexes are upstream regulators of Myc and directly govern Myc function in transcriptional transactivation and transformation via the pocket protein p107.
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Affiliation(s)
- K Haas
- Institut für Zellbiologie (Tumorforschung), IFZ, Universitätsklinikum Essen, Germany
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49
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Mumberg D, Wick M, Bürger C, Haas K, Funk M, Müller R. Cyclin ET, a new splice variant of human cyclin E with a unique expression pattern during cell cycle progression and differentiation. Nucleic Acids Res 1997; 25:2098-105. [PMID: 9153308 PMCID: PMC146711 DOI: 10.1093/nar/25.11.2098] [Citation(s) in RCA: 29] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/04/2023] Open
Abstract
Cyclin E is the regulatory subunit of the cdc2-related protein kinase cdk2 and is a rate limiting factor for the entry into S phase. To date, cyclin E is the only cyclin for which alternative splicing has been described. We report here the isolation of a new splice variant of cyclin E, termed cyclin ET, which has an internal deletion of 45 amino acids compared with the full-length cyclin E protein. Even though cyclin ETcontains an intact cyclin box, it is unable to complement a triple cln mutant strain of Saccharomyces cerevisiae or to interfere with rescue by cyclin E, indicating that an intact cyclin box is functionally insufficient. The expression pattern of cyclin ET during cell cycle entry, progression and differentiation differs from that of cyclin E. Thus, ET expression precedes that of the other isoforms during the G0-->S progression; it shows a sharp peak in early G1 in cells released from a mitotic block and is strongly down-regulated in terminally differentiated myeloid cells. These observations point to different functions for cyclin ET and E and show for the first time that the alternative splicing of cyclin E is a regulated mechanism governed by the cell cycle and differentiation.
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Affiliation(s)
- D Mumberg
- Institut für Molekularbiologie und Tumorforschung (IMT), Philipps-Universität Marburg, Emil-Mannkopff-Strasse 2, D-35033 Marburg, Germany
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50
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Mumberg D, Haas K, Möröy T, Niedenthal R, Hegemann JH, Funk M, Müller R. Uncoupling of DNA replication and cell cycle progression by human cyclin E. Oncogene 1996; 13:2493-7. [PMID: 8957094] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/03/2023]
Abstract
The G1-specific D- and E-type cyclins are among the most crucial factors controlling cell cycle progression in mammalian cells and are therefore thought to play an important role in tumorigenisis. D-type cyclins have indeed been shown to be endowed with an oncogenic potential. Here, we report that the ectopic expression of human cyclin E, but not cyclin D1, deregulates DNA synthesis in both yeast and mammalian cells. In yeast, induction of DNA synthesis by cyclin E occurs even under conditions of cell cycle arrest in G1 or G2/M, indicating an uncoupling of DNA replication from cell cycle progression. In rat embryo fibroblasts, the cooperative action of Ras and cyclin E induces transformation. These cells, in contrast to those transformed by Ras and cyclin D1, show aberrant levels of DNA synthesis. Since cyclin E is commonly overexpressed in a variety of human tumors, these findings may point to a link between the uncontrolled proliferation and the genomic instability typically seen in malignant tumors. Furthermore they reveal significant differences in the functional properties of cyclin E and D1.
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Affiliation(s)
- D Mumberg
- Institut für Molekularbiologie und Tumorforschung (IMT), Philipps-Universität Marburg, Germany
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