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Elam JS, Glasser MF, Harms MP, Sotiropoulos SN, Andersson JLR, Burgess GC, Curtiss SW, Oostenveld R, Larson-Prior LJ, Schoffelen JM, Hodge MR, Cler EA, Marcus DM, Barch DM, Yacoub E, Smith SM, Ugurbil K, Van Essen DC. The Human Connectome Project: A retrospective. Neuroimage 2021; 244:118543. [PMID: 34508893 PMCID: PMC9387634 DOI: 10.1016/j.neuroimage.2021.118543] [Citation(s) in RCA: 65] [Impact Index Per Article: 21.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2021] [Revised: 08/13/2021] [Accepted: 08/30/2021] [Indexed: 01/21/2023] Open
Abstract
The Human Connectome Project (HCP) was launched in 2010 as an ambitious effort to accelerate advances in human neuroimaging, particularly for measures of brain connectivity; apply these advances to study a large number of healthy young adults; and freely share the data and tools with the scientific community. NIH awarded grants to two consortia; this retrospective focuses on the "WU-Minn-Ox" HCP consortium centered at Washington University, the University of Minnesota, and University of Oxford. In just over 6 years, the WU-Minn-Ox consortium succeeded in its core objectives by: 1) improving MR scanner hardware, pulse sequence design, and image reconstruction methods, 2) acquiring and analyzing multimodal MRI and MEG data of unprecedented quality together with behavioral measures from more than 1100 HCP participants, and 3) freely sharing the data (via the ConnectomeDB database) and associated analysis and visualization tools. To date, more than 27 Petabytes of data have been shared, and 1538 papers acknowledging HCP data use have been published. The "HCP-style" neuroimaging paradigm has emerged as a set of best-practice strategies for optimizing data acquisition and analysis. This article reviews the history of the HCP, including comments on key events and decisions associated with major project components. We discuss several scientific advances using HCP data, including improved cortical parcellations, analyses of connectivity based on functional and diffusion MRI, and analyses of brain-behavior relationships. We also touch upon our efforts to develop and share a variety of associated data processing and analysis tools along with detailed documentation, tutorials, and an educational course to train the next generation of neuroimagers. We conclude with a look forward at opportunities and challenges facing the human neuroimaging field from the perspective of the HCP consortium.
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Affiliation(s)
| | | | - Michael P Harms
- Washington University School of Medicine, St. Louis, MO, USA
| | - Stamatios N Sotiropoulos
- Sir Peter Mansfield Imaging Centre & NIHR Nottingham Biomedical Research Centre, Queen's Medical Centre, School of Medicine, University of Nottingham, UK; Wellcome Centre for Integrative Neuroimaging, University of Oxford, UK
| | | | | | | | - Robert Oostenveld
- Donders Institute for Brain, Cognition and Behaviour, Radboud University, the Netherlands
| | | | - Jan-Mathijs Schoffelen
- Donders Institute for Brain, Cognition and Behaviour, Radboud University, the Netherlands
| | - Michael R Hodge
- Washington University School of Medicine, St. Louis, MO, USA
| | - Eileen A Cler
- Washington University School of Medicine, St. Louis, MO, USA
| | - Daniel M Marcus
- Washington University School of Medicine, St. Louis, MO, USA
| | - Deanna M Barch
- Washington University School of Medicine, St. Louis, MO, USA
| | - Essa Yacoub
- Center for Magnetic Resonance Research, University of Minnesota, Minneapolis, MN, USA
| | - Stephen M Smith
- Wellcome Centre for Integrative Neuroimaging, University of Oxford, UK
| | - Kamil Ugurbil
- Center for Magnetic Resonance Research, University of Minnesota, Minneapolis, MN, USA
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Somerville LH, Bookheimer SY, Buckner RL, Burgess GC, Curtiss SW, Dapretto M, Elam JS, Gaffrey MS, Harms MP, Hodge C, Kandala S, Kastman EK, Nichols TE, Schlaggar BL, Smith SM, Thomas KM, Yacoub E, Van Essen DC, Barch DM. The Lifespan Human Connectome Project in Development: A large-scale study of brain connectivity development in 5-21 year olds. Neuroimage 2018; 183:456-468. [PMID: 30142446 DOI: 10.1016/j.neuroimage.2018.08.050] [Citation(s) in RCA: 132] [Impact Index Per Article: 22.0] [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: 07/20/2018] [Revised: 08/18/2018] [Accepted: 08/20/2018] [Indexed: 12/14/2022] Open
Abstract
Recent technological and analytical progress in brain imaging has enabled the examination of brain organization and connectivity at unprecedented levels of detail. The Human Connectome Project in Development (HCP-D) is exploiting these tools to chart developmental changes in brain connectivity. When complete, the HCP-D will comprise approximately ∼1750 open access datasets from 1300 + healthy human participants, ages 5-21 years, acquired at four sites across the USA. The participants are from diverse geographical, ethnic, and socioeconomic backgrounds. While most participants are tested once, others take part in a three-wave longitudinal component focused on the pubertal period (ages 9-17 years). Brain imaging sessions are acquired on a 3 T Siemens Prisma platform and include structural, functional (resting state and task-based), diffusion, and perfusion imaging, physiological monitoring, and a battery of cognitive tasks and self-reports. For minors, parents additionally complete a battery of instruments to characterize cognitive and emotional development, and environmental variables relevant to development. Participants provide biological samples of blood, saliva, and hair, enabling assays of pubertal hormones, health markers, and banked DNA samples. This paper outlines the overarching aims of the project, the approach taken to acquire maximally informative data while minimizing participant burden, preliminary analyses, and discussion of the intended uses and limitations of the dataset.
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Affiliation(s)
- Leah H Somerville
- Department of Psychology, Harvard University, Cambridge, MA, USA; Center for Brain Science, Harvard University, Cambridge, MA, USA.
| | - Susan Y Bookheimer
- Department of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine at UCLA, University of California, Los Angeles, CA, USA
| | - Randy L Buckner
- Department of Psychology, Harvard University, Cambridge, MA, USA; Center for Brain Science, Harvard University, Cambridge, MA, USA; Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA; Department of Psychiatry, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
| | - Gregory C Burgess
- Department of Psychiatry, Washington University Medical School, St. Louis, MO, USA
| | - Sandra W Curtiss
- Department of Neuroscience, Washington University Medical School, St. Louis, MO, USA
| | - Mirella Dapretto
- Department of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine at UCLA, University of California, Los Angeles, CA, USA
| | - Jennifer Stine Elam
- Department of Neuroscience, Washington University Medical School, St. Louis, MO, USA
| | - Michael S Gaffrey
- Department of Psychiatry, Washington University Medical School, St. Louis, MO, USA
| | - Michael P Harms
- Department of Psychiatry, Washington University Medical School, St. Louis, MO, USA
| | - Cynthia Hodge
- Department of Psychiatry, Washington University Medical School, St. Louis, MO, USA
| | - Sridhar Kandala
- Department of Psychiatry, Washington University Medical School, St. Louis, MO, USA
| | - Erik K Kastman
- Department of Psychology, Harvard University, Cambridge, MA, USA; Center for Brain Science, Harvard University, Cambridge, MA, USA
| | - Thomas E Nichols
- Oxford Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, Nuffield Department of Population Health, University of Oxford, Oxford, UK; Department of Statistics, University of Warwick, Coventry, UK; Wellcome Centre for Integrative Neuroimaging, Oxford Centre for Functional Magnetic Resonance Imaging of the Brain (FMRIB), Nuffield Department of Clinical Neurosciences, John Radcliffe Hospital, University of Oxford, Oxford, UK
| | - Bradley L Schlaggar
- Department of Psychiatry, Washington University Medical School, St. Louis, MO, USA; Department of Neuroscience, Washington University Medical School, St. Louis, MO, USA; Department of Neurology, Washington University Medical School, St. Louis, MO, USA; Department of Pediatrics, Washington University Medical School, St. Louis, MO, USA; Department of Radiology, Washington University Medical School, St. Louis, MO, USA
| | - Stephen M Smith
- Wellcome Centre for Integrative Neuroimaging, Oxford Centre for Functional Magnetic Resonance Imaging of the Brain (FMRIB), Nuffield Department of Clinical Neurosciences, John Radcliffe Hospital, University of Oxford, Oxford, UK
| | - Kathleen M Thomas
- Institute of Child Development, University of Minnesota, Minneapolis, MN, USA
| | - Essa Yacoub
- Center for Magnetic Resonance Research, University of Minnesota, Minneapolis, MN, USA
| | - David C Van Essen
- Department of Neuroscience, Washington University Medical School, St. Louis, MO, USA
| | - Deanna M Barch
- Department of Psychiatry, Washington University Medical School, St. Louis, MO, USA; Department of Radiology, Washington University Medical School, St. Louis, MO, USA; Department of Psychological and Brain Sciences, Washington University in St. Louis, St. Louis, MO, USA
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3
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Hodge MR, Horton W, Brown T, Herrick R, Olsen T, Hileman ME, McKay M, Archie KA, Cler E, Harms MP, Burgess GC, Glasser MF, Elam JS, Curtiss SW, Barch DM, Oostenveld R, Larson-Prior LJ, Ugurbil K, Van Essen DC, Marcus DS. ConnectomeDB--Sharing human brain connectivity data. Neuroimage 2015; 124:1102-1107. [PMID: 25934470 DOI: 10.1016/j.neuroimage.2015.04.046] [Citation(s) in RCA: 63] [Impact Index Per Article: 7.0] [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: 01/30/2015] [Revised: 04/20/2015] [Accepted: 04/21/2015] [Indexed: 12/30/2022] Open
Abstract
ConnectomeDB is a database for housing and disseminating data about human brain structure, function, and connectivity, along with associated behavioral and demographic data. It is the main archive and dissemination platform for data collected under the WU-Minn consortium Human Connectome Project. Additional connectome-style study data is and will be made available in the database under current and future projects, including the Connectome Coordination Facility. The database currently includes multiple modalities of magnetic resonance imaging (MRI) and magnetoencephalograpy (MEG) data along with associated behavioral data. MRI modalities include structural, task, resting state and diffusion. MEG modalities include resting state and task. Imaging data includes unprocessed, minimally preprocessed and analysis data. Imaging data and much of the behavioral data are publicly available, subject to acceptance of data use terms, while access to some sensitive behavioral data is restricted to qualified investigators under a more stringent set of terms. ConnectomeDB is the public side of the WU-Minn HCP database platform. As such, it is geared towards public distribution, with a web-based user interface designed to guide users to the optimal set of data for their needs and a robust backend mechanism based on the commercial Aspera fasp service to enable high speed downloads. HCP data is also available via direct shipment of hard drives and Amazon S3.
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Affiliation(s)
- Michael R Hodge
- Department of Radiology, Washington University School of Medicine, St. Louis, MO, USA.
| | - William Horton
- Department of Radiology, Washington University School of Medicine, St. Louis, MO, USA
| | - Timothy Brown
- Department of Radiology, Washington University School of Medicine, St. Louis, MO, USA
| | - Rick Herrick
- Department of Radiology, Washington University School of Medicine, St. Louis, MO, USA
| | | | - Michael E Hileman
- Department of Radiology, Washington University School of Medicine, St. Louis, MO, USA
| | - Michael McKay
- Department of Radiology, Washington University School of Medicine, St. Louis, MO, USA
| | - Kevin A Archie
- Department of Radiology, Washington University School of Medicine, St. Louis, MO, USA
| | - Eileen Cler
- Department of Radiology, Washington University School of Medicine, St. Louis, MO, USA
| | - Michael P Harms
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA
| | - Gregory C Burgess
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA
| | - Matthew F Glasser
- Department of Anatomy and Neurobiology, Washington University School of Medicine, St. Louis, MO, USA
| | - Jennifer S Elam
- Department of Anatomy and Neurobiology, Washington University School of Medicine, St. Louis, MO, USA
| | - Sandra W Curtiss
- Department of Anatomy and Neurobiology, Washington University School of Medicine, St. Louis, MO, USA
| | - Deanna M Barch
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA
| | - Robert Oostenveld
- Radboud University Nijmegen, Donders Institute for Brain, Cognition and Behaviour, Nijmegen, The Netherlands
| | - Linda J Larson-Prior
- Department of Radiology, Washington University School of Medicine, St. Louis, MO, USA; Department of Neurology, Washington University School of Medicine, St. Louis, MO, USA
| | - Kamil Ugurbil
- Center for Magnetic Resonance Imaging, University of Minnesota, Minneapolis, MN, USA
| | - David C Van Essen
- Department of Anatomy and Neurobiology, Washington University School of Medicine, St. Louis, MO, USA
| | - Daniel S Marcus
- Department of Radiology, Washington University School of Medicine, St. Louis, MO, USA
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4
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Marcus DS, Harms MP, Snyder AZ, Jenkinson M, Wilson JA, Glasser MF, Barch DM, Archie KA, Burgess GC, Ramaratnam M, Hodge M, Horton W, Herrick R, Olsen T, McKay M, House M, Hileman M, Reid E, Harwell J, Coalson T, Schindler J, Elam JS, Curtiss SW, Van Essen DC. Human Connectome Project informatics: quality control, database services, and data visualization. Neuroimage 2013; 80:202-19. [PMID: 23707591 DOI: 10.1016/j.neuroimage.2013.05.077] [Citation(s) in RCA: 258] [Impact Index Per Article: 23.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/11/2013] [Revised: 05/01/2013] [Accepted: 05/13/2013] [Indexed: 11/17/2022] Open
Abstract
The Human Connectome Project (HCP) has developed protocols, standard operating and quality control procedures, and a suite of informatics tools to enable high throughput data collection, data sharing, automated data processing and analysis, and data mining and visualization. Quality control procedures include methods to maintain data collection consistency over time, to measure head motion, and to establish quantitative modality-specific overall quality assessments. Database services developed as customizations of the XNAT imaging informatics platform support both internal daily operations and open access data sharing. The Connectome Workbench visualization environment enables user interaction with HCP data and is increasingly integrated with the HCP's database services. Here we describe the current state of these procedures and tools and their application in the ongoing HCP study.
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Affiliation(s)
- Daniel S Marcus
- Department of Radiology, Washington University School of Medicine, St. Louis, MO 63110, USA.
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5
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Van Essen DC, Ugurbil K, Auerbach E, Barch D, Behrens TEJ, Bucholz R, Chang A, Chen L, Corbetta M, Curtiss SW, Della Penna S, Feinberg D, Glasser MF, Harel N, Heath AC, Larson-Prior L, Marcus D, Michalareas G, Moeller S, Oostenveld R, Petersen SE, Prior F, Schlaggar BL, Smith SM, Snyder AZ, Xu J, Yacoub E. The Human Connectome Project: a data acquisition perspective. Neuroimage 2012; 62:2222-31. [PMID: 22366334 DOI: 10.1016/j.neuroimage.2012.02.018] [Citation(s) in RCA: 1309] [Impact Index Per Article: 109.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/26/2011] [Revised: 10/24/2011] [Accepted: 02/08/2012] [Indexed: 11/28/2022] Open
Abstract
The Human Connectome Project (HCP) is an ambitious 5-year effort to characterize brain connectivity and function and their variability in healthy adults. This review summarizes the data acquisition plans being implemented by a consortium of HCP investigators who will study a population of 1200 subjects (twins and their non-twin siblings) using multiple imaging modalities along with extensive behavioral and genetic data. The imaging modalities will include diffusion imaging (dMRI), resting-state fMRI (R-fMRI), task-evoked fMRI (T-fMRI), T1- and T2-weighted MRI for structural and myelin mapping, plus combined magnetoencephalography and electroencephalography (MEG/EEG). Given the importance of obtaining the best possible data quality, we discuss the efforts underway during the first two years of the grant (Phase I) to refine and optimize many aspects of HCP data acquisition, including a new 7T scanner, a customized 3T scanner, and improved MR pulse sequences.
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Affiliation(s)
- D C Van Essen
- Department of Anatomy & Neurobiology, Washington University, St. Louis, MO, USA.
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6
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Marcus DS, Harwell J, Olsen T, Hodge M, Glasser MF, Prior F, Jenkinson M, Laumann T, Curtiss SW, Van Essen DC. Informatics and data mining tools and strategies for the human connectome project. Front Neuroinform 2011; 5:4. [PMID: 21743807 PMCID: PMC3127103 DOI: 10.3389/fninf.2011.00004] [Citation(s) in RCA: 352] [Impact Index Per Article: 27.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2011] [Accepted: 06/08/2011] [Indexed: 11/23/2022] Open
Abstract
The Human Connectome Project (HCP) is a major endeavor that will acquire and analyze connectivity data plus other neuroimaging, behavioral, and genetic data from 1,200 healthy adults. It will serve as a key resource for the neuroscience research community, enabling discoveries of how the brain is wired and how it functions in different individuals. To fulfill its potential, the HCP consortium is developing an informatics platform that will handle: (1) storage of primary and processed data, (2) systematic processing and analysis of the data, (3) open-access data-sharing, and (4) mining and exploration of the data. This informatics platform will include two primary components. ConnectomeDB will provide database services for storing and distributing the data, as well as data analysis pipelines. Connectome Workbench will provide visualization and exploration capabilities. The platform will be based on standard data formats and provide an open set of application programming interfaces (APIs) that will facilitate broad utilization of the data and integration of HCP services into a variety of external applications. Primary and processed data generated by the HCP will be openly shared with the scientific community, and the informatics platform will be available under an open source license. This paper describes the HCP informatics platform as currently envisioned and places it into the context of the overall HCP vision and agenda.
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Affiliation(s)
- Daniel S Marcus
- Department of Radiology, Washington University School of Medicine St. Louis, MO, USA
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7
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Morris DL, O’Neil SP, Devraj RV, Portanova JP, Gilles RW, Gross CJ, Curtiss SW, Komocsar WJ, Garner DS, Happa FA, Kraus LJ, Nikula KJ, Monahan JB, Selness SR, Galluppi GR, Shevlin KM, Kramer JA, Walker JK, Messing DM, Anderson DR, Mourey RJ, Whiteley LO, Daniels JS, Yang JZ, Rowlands PC, Alden CL, Davis JW, Sagartz JE. Acute Lymphoid and Gastrointestinal Toxicity Induced by Selective p38α Map Kinase and Map Kinase–Activated Protein Kinase-2 (MK2) Inhibitors in the Dog. Toxicol Pathol 2010; 38:606-18. [DOI: 10.1177/0192623310367807] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Exposure to moderately selective p38α mitogen-activated protein kinase (MAPK) inhibitors in the Beagle dog results in an acute toxicity consisting of mild clinical signs (decreased activity, diarrhea, and fever), lymphoid necrosis and depletion in the gut-associated lymphoid tissue (GALT), mesenteric lymph nodes and spleen, and linear colonic and cecal mucosal hemorrhages. Lymphocyte apoptosis and necrosis in the GALT is the earliest and most prominent histopathologic change observed, followed temporally by neutrophilic infiltration and acute inflammation of the lymph nodes and spleen and multifocal mucosal epithelial necrosis and linear hemorrhages in the colon and cecum. These effects are not observed in the mouse, rat, or cynomolgus monkey. To further characterize the acute toxicity in the dog, a series of in vivo, in vitro, and immunohistochemical studies were conducted to determine the relationship between the lymphoid and gastrointestinal (GI) toxicity and p38 MAPK inhibition. Results of these studies demonstrate a direct correlation between p38α MAPK inhibition and the acute lymphoid and gastrointestinal toxicity in the dog. Similar effects were observed following exposure to inhibitors of MAPK-activated protein kinase-2 (MK2), further implicating the role of p38α MAPK signaling pathway inhibition in these effects. Based on these findings, the authors conclude that p38α MAPK inhibition results in acute lymphoid and GI toxicity in the dog and is unique among the species evaluated in these studies.
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Affiliation(s)
- Dale L. Morris
- Pfizer Inc., Drug Safety R&D, Research, Pharmacokinetics, Dynamics & Metabolism, and Pharmaceutical Sciences, St. Louis, Missouri, USA
| | - Shawn P. O’Neil
- Pfizer Inc., Drug Safety R&D, Research, Pharmacokinetics, Dynamics & Metabolism, and Pharmaceutical Sciences, St. Louis, Missouri, USA
| | - Rajesh V. Devraj
- Pfizer Inc., Drug Safety R&D, Research, Pharmacokinetics, Dynamics & Metabolism, and Pharmaceutical Sciences, St. Louis, Missouri, USA
| | - Joseph P. Portanova
- Pfizer Inc., Drug Safety R&D, Research, Pharmacokinetics, Dynamics & Metabolism, and Pharmaceutical Sciences, St. Louis, Missouri, USA
| | - Richard W. Gilles
- Pfizer Inc., Drug Safety R&D, Research, Pharmacokinetics, Dynamics & Metabolism, and Pharmaceutical Sciences, St. Louis, Missouri, USA
| | - Cindy J. Gross
- Pfizer Inc., Drug Safety R&D, Research, Pharmacokinetics, Dynamics & Metabolism, and Pharmaceutical Sciences, St. Louis, Missouri, USA
| | - Sandra W. Curtiss
- Pfizer Inc., Drug Safety R&D, Research, Pharmacokinetics, Dynamics & Metabolism, and Pharmaceutical Sciences, St. Louis, Missouri, USA
| | | | - Debra S. Garner
- Pfizer Inc., Drug Safety R&D, Research, Pharmacokinetics, Dynamics & Metabolism, and Pharmaceutical Sciences, St. Louis, Missouri, USA
| | - Fernando A. Happa
- Pfizer Inc., Drug Safety R&D, Research, Pharmacokinetics, Dynamics & Metabolism, and Pharmaceutical Sciences, St. Louis, Missouri, USA
| | - Lori J. Kraus
- Pfizer Inc., Drug Safety R&D, Research, Pharmacokinetics, Dynamics & Metabolism, and Pharmaceutical Sciences, St. Louis, Missouri, USA
| | | | - Joseph B. Monahan
- Pfizer Inc., Drug Safety R&D, Research, Pharmacokinetics, Dynamics & Metabolism, and Pharmaceutical Sciences, St. Louis, Missouri, USA
| | - Shaun R. Selness
- Pfizer Inc., Drug Safety R&D, Research, Pharmacokinetics, Dynamics & Metabolism, and Pharmaceutical Sciences, St. Louis, Missouri, USA
| | | | - Kimberly M. Shevlin
- Pfizer Inc., Drug Safety R&D, Research, Pharmacokinetics, Dynamics & Metabolism, and Pharmaceutical Sciences, St. Louis, Missouri, USA
| | | | - John K. Walker
- Pfizer Inc., Drug Safety R&D, Research, Pharmacokinetics, Dynamics & Metabolism, and Pharmaceutical Sciences, St. Louis, Missouri, USA
| | - Dean M. Messing
- Pfizer Inc., Drug Safety R&D, Research, Pharmacokinetics, Dynamics & Metabolism, and Pharmaceutical Sciences, St. Louis, Missouri, USA
| | - David R. Anderson
- Pfizer Inc., Drug Safety R&D, Research, Pharmacokinetics, Dynamics & Metabolism, and Pharmaceutical Sciences, St. Louis, Missouri, USA
| | - Robert J. Mourey
- Pfizer Inc., Drug Safety R&D, Research, Pharmacokinetics, Dynamics & Metabolism, and Pharmaceutical Sciences, St. Louis, Missouri, USA
| | - Laurence O. Whiteley
- Pfizer Inc., Drug Safety R&D, Research, Pharmacokinetics, Dynamics & Metabolism, and Pharmaceutical Sciences, St. Louis, Missouri, USA
| | - John S. Daniels
- Pfizer Inc., Drug Safety R&D, Research, Pharmacokinetics, Dynamics & Metabolism, and Pharmaceutical Sciences, St. Louis, Missouri, USA
| | - Jerry Z. Yang
- Pfizer Inc., Drug Safety R&D, Research, Pharmacokinetics, Dynamics & Metabolism, and Pharmaceutical Sciences, St. Louis, Missouri, USA
| | - Philip C. Rowlands
- Pfizer Inc., Drug Safety R&D, Research, Pharmacokinetics, Dynamics & Metabolism, and Pharmaceutical Sciences, St. Louis, Missouri, USA
| | - Carl L. Alden
- Millennium Pharmaceuticals Inc., Cambridge, Massachusetts, USA
| | - John W. Davis
- Pfizer Inc., Drug Safety R&D, Research, Pharmacokinetics, Dynamics & Metabolism, and Pharmaceutical Sciences, St. Louis, Missouri, USA
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Hughes RO, Rogier DJ, Jacobsen EJ, Walker JK, MacInnes A, Bond BR, Zhang LL, Yu Y, Zheng Y, Rumsey JM, Walgren JL, Curtiss SW, Fobian YM, Heasley SE, Cubbage JW, Moon JB, Brown DL, Acker BA, Maddux TM, Tollefson MB, Mischke BV, Owen DR, Freskos JN, Molyneaux JM, Benson AG, Blevis-Bal RM. Design, Synthesis, and Biological Evaluation of 3-[4-(2-Hydroxyethyl)piperazin-1-yl]-7-(6-methoxypyridin-3-yl)-1-(2-propoxyethyl)pyrido[3,4-b]pyrazin-2(1H)-one, a Potent, Orally Active, Brain Penetrant Inhibitor of Phosphodiesterase 5 (PDE5). J Med Chem 2010; 53:2656-60. [PMID: 20196613 DOI: 10.1021/jm901781q] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Affiliation(s)
- Robert O. Hughes
- Pfizer Global Research and Development, Chesterfield Parkway West, St. Louis, Missouri 63017
| | - D. Joseph Rogier
- Pfizer Global Research and Development, Chesterfield Parkway West, St. Louis, Missouri 63017
| | - E. Jon Jacobsen
- Pfizer Global Research and Development, Chesterfield Parkway West, St. Louis, Missouri 63017
| | - John K. Walker
- Pfizer Global Research and Development, Chesterfield Parkway West, St. Louis, Missouri 63017
| | - Alan MacInnes
- Pfizer Global Research and Development, Chesterfield Parkway West, St. Louis, Missouri 63017
| | - Brian R. Bond
- Pfizer Global Research and Development, Chesterfield Parkway West, St. Louis, Missouri 63017
| | - Lena L. Zhang
- Pfizer Global Research and Development, Chesterfield Parkway West, St. Louis, Missouri 63017
| | - Ying Yu
- Pfizer Global Research and Development, Chesterfield Parkway West, St. Louis, Missouri 63017
| | - Yi Zheng
- Pfizer Global Research and Development, Chesterfield Parkway West, St. Louis, Missouri 63017
| | - Jeanne M. Rumsey
- Pfizer Global Research and Development, Chesterfield Parkway West, St. Louis, Missouri 63017
| | - Jennie L. Walgren
- Pfizer Global Research and Development, Chesterfield Parkway West, St. Louis, Missouri 63017
| | - Sandra W. Curtiss
- Pfizer Global Research and Development, Chesterfield Parkway West, St. Louis, Missouri 63017
| | - Yvette M. Fobian
- Pfizer Global Research and Development, Chesterfield Parkway West, St. Louis, Missouri 63017
| | - Steven E. Heasley
- Pfizer Global Research and Development, Chesterfield Parkway West, St. Louis, Missouri 63017
| | - Jerry W. Cubbage
- Pfizer Global Research and Development, Chesterfield Parkway West, St. Louis, Missouri 63017
| | - Joseph B. Moon
- Pfizer Global Research and Development, Chesterfield Parkway West, St. Louis, Missouri 63017
| | - David L. Brown
- Pfizer Global Research and Development, Chesterfield Parkway West, St. Louis, Missouri 63017
| | - Brad A. Acker
- Pfizer Global Research and Development, Chesterfield Parkway West, St. Louis, Missouri 63017
| | - Todd M. Maddux
- Pfizer Global Research and Development, Chesterfield Parkway West, St. Louis, Missouri 63017
| | - Mike B. Tollefson
- Pfizer Global Research and Development, Chesterfield Parkway West, St. Louis, Missouri 63017
| | - Brent V. Mischke
- Pfizer Global Research and Development, Chesterfield Parkway West, St. Louis, Missouri 63017
| | - Dafydd R. Owen
- Pfizer Global Research and Development, Ramsgate Road, Sandwich CT139NJ, U.K
| | - John N. Freskos
- Pfizer Global Research and Development, Chesterfield Parkway West, St. Louis, Missouri 63017
| | - John M. Molyneaux
- Pfizer Global Research and Development, Chesterfield Parkway West, St. Louis, Missouri 63017
| | - Alan G. Benson
- Pfizer Global Research and Development, Chesterfield Parkway West, St. Louis, Missouri 63017
| | - Rhadika M. Blevis-Bal
- Pfizer Global Research and Development, Chesterfield Parkway West, St. Louis, Missouri 63017
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Elrick MM, Kramer JA, Alden CL, Blomme EAG, Bunch RT, Cabonce MA, Curtiss SW, Kier LD, Kolaja KL, Rodi CP, Morris DL. Differential display in rat livers treated for 13 weeks with phenobarbital implicates a role for metabolic and oxidative stress in nongenotoxic carcinogenicity. Toxicol Pathol 2005; 33:118-26. [PMID: 15805063 DOI: 10.1080/01926230590888298] [Citation(s) in RCA: 17] [Impact Index Per Article: 0.9] [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: 10/25/2022]
Abstract
Hepatic enzyme inducers such as phenobarbital are often nongenotoxic rodent hepatocarcinogens. Currently, nongenotoxic hepatocarcinogens can only be definitively identified through costly and extensive long-term, repeat-dose studies (e.g., 2-year rodent carcinogenicity assays). Although liver tumors caused by these compounds are often not found to be relevant to human health, the mechanism(s) by which they cause carcinogenesis are not well understood. Toxicogenomic technologies represent a new approach to understanding the molecular bases of toxicological liabilities such asnongenotoxic carcinogenicity early in the drug discovery/development process. Microarrays have been used to identify mechanistic molecular markers of nongenotoxic rodent hepatocarcinogenesis in short-term, repeat-dose preclinical safety studies. However, the initial "noise" of early adaptive changes may confound mechanistic interpretation of transcription profiling data from short-term studies, and the molecular processes triggered by treatment with a xenobiotic agent are likely to change over the course of long-term treatment. Here, we describe the use of a differential display technology to understand the molecular mechanisms related to 13 weeks of dosing with the prototype rodent nongenotoxic hepatocarcinogen, phenobarbital. These findings implicate a continuing role for oxidative stress in nongenotoxic carcinogenicity.An Excel data file containing raw data is available in full at http://taylorandfrancis.metapress.com/openurl.asp?genre=journal&issn=0192-6233. Click on the issue link for 33(1), then select this article. A download option appears at the bottom of this abstract. The file contains raw data for all gene changes detected by AFLP, including novel genes and genes of unknown function; sequences of detected genes; and animal body and liver weight ratios. In order to access the full article online, you must either have an individual subscription or a member subscription accessed through www.toxpath.org.
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Affiliation(s)
- Mollisa M Elrick
- Pfizer Corporation, Worldwide Safety Sciences, St Louis, Missouri 63167, USA.
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Kramer JA, Curtiss SW, Kolaja KL, Alden CL, Blomme EAG, Curtiss WC, Davila JC, Jackson CJ, Bunch RT. Acute Molecular Markers of Rodent Hepatic Carcinogenesis Identified by Transcription Profiling. Chem Res Toxicol 2004; 17:463-70. [PMID: 15089088 DOI: 10.1021/tx034244j] [Citation(s) in RCA: 57] [Impact Index Per Article: 2.9] [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: 11/28/2022]
Abstract
Currently, the only way to identify nongenotoxic hepatocarcinogens is through long-term repeat dose studies such as the 2 year rodent carcinogenicity assay. Such assays are both time consuming and expensive and require large amounts of active pharmaceutical or chemical ingredients. Thus, the results of the 2 year assay are not known until very late in the discovery and development process for new pharmaceutical entities. Although in many cases nongenotoxic carcinogenicity in rodents is considered to be irrelevant for humans, a positive finding in a 2 year carcinogenicity assay may increase the number of studies to demonstrate the lack of relevance to humans, delay final submission and subsequent registration of a product, and may result in a "black box" carcinogenicity warning on the label. To develop early identifiers of carcinogenicity, we applied transcription profiling using several prototype rodent genotoxic and nongenotoxic carcinogens, as well as two noncarcinogenic hepatotoxicants, in a 5 day repeat dose in vivo toxicology study. Fluorescent-labeled probes generated from liver mRNA prepared from male Sprague-Dawley rats treated with one of three dose levels of bemitradine, clofibrate, doxylamine, methapyrilene, phenobarbital, tamoxifen, 2-acetylaminofluorene, 4-acetylaminofluorene, or isoniazid were hybridized against rat cDNA microarrays. Correlation of the resulting data with an estimated carcinogenic potential of each compound and dose level identified several candidate molecular markers of rodent nongenotoxic carcinogenicity, including transforming growth factor-beta stimulated clone 22 and NAD(P)H cytochrome P450 oxidoreductase.
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Affiliation(s)
- Jeffrey A Kramer
- Pfizer Corporation, World Wide Safety Science, 800 North Lindbergh Boulevard, St Louis, Missouri 63167, USA. a.
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Kramer JA, Pettit SD, Amin RP, Bertram TA, Car B, Cunningham M, Curtiss SW, Davis JW, Kind C, Lawton M, Naciff JM, Oreffo V, Roman RJ, Sistare FD, Stevens J, Thompson K, Vickers AE, Wild S, Afshari CA. Overview on the application of transcription profiling using selected nephrotoxicants for toxicology assessment. Environ Health Perspect 2004; 112:460-4. [PMID: 15033596 PMCID: PMC1241900 DOI: 10.1289/ehp.6673] [Citation(s) in RCA: 38] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/10/2023]
Abstract
Microarrays allow for the simultaneous measurement of changes in the levels of thousands of messenger RNAs within a single experiment. As such, the potential for the application of transcription profiling to preclinical safety assessment and mechanism-based risk assessment is profound. However, several practical and technical challenges remain. Among these are nomenclature issues, platform-specific data formats, and the lack of uniform analysis methods and tools. Experiments were designed to address biological, technical, and methodological variability, to evaluate different approaches to data analysis, and to understand the application of the technology to other profiling methodologies and to mechanism-based risk assessment. These goals were addressed using experimental information derived from analysis of the biological response to three mechanistically distinct nephrotoxins: cisplatin, gentamicin, and puromycin aminonucleoside. In spite of the technical challenges, the transcription profiling data yielded mechanistically and topographically valuable information. The analyses detailed in the articles from the Nephrotoxicity Working Group of the International Life Sciences Institute Health and Environmental Sciences Institute suggest at least equal sensitivity of microarray technology compared to traditional end points. Additionally, microarray analysis of these prototypical nephrotoxicants provided an opportunity for the development of candidate bridging biomarkers of nephrotoxicity. The potential future extension of these applications for risk assessment is also discussed.
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Kramer JA, Blomme EAG, Bunch RT, Davila JC, Jackson CJ, Jones PF, Kolaja KL, Curtiss SW. Transcription profiling distinguishes dose-dependent effects in the livers of rats treated with clofibrate. Toxicol Pathol 2003; 31:417-31. [PMID: 12851107 DOI: 10.1080/01926230390202353] [Citation(s) in RCA: 20] [Impact Index Per Article: 1.0] [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: 10/25/2022]
Abstract
Peroxisome proliferators such as the fibrates act via the peroxisome proliferator activated receptor (PPAR)-alpha as hypolipidemic agents. Many peroxisome proliferators are also nongenotoxic hepatic carcinogens and hepatotoxicants in rodents. We performed transcription profiling using cDNA microarrays on livers of rats treated for 5 days with 3 doses of the peroxisome proliferator clofibrate. All 3 doses had hepatic effects as assessed by liver to body weight ratio, alanine aminotransferase (ALT) increases and histopathology examination. Analysis of the transcription profiling data identified changes in the expression of many genes within several mechanistic pathways that support existing hypotheses regarding peroxisome proliferator mediated carcinogenicity. Additionally, the transcription profiling, histopathology, and clinical chemistry results suggested a biphasic response to clofibrate. These findings provide insight into the pathogenesis of toxic and carcinogenic effects of clofibrate in rodents and demonstrate the ability of cDNA microarrays to provide information regarding mechanisms of toxicity identified during the drug development process.
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Affiliation(s)
- Jeffrey A Kramer
- Pharmacia Corporation, Global Toxicology, 800 N. Lindbergh Blvd., St Louis, Missouri 63167, USA.
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Kramer JA, Blomme EAG, Bunch RT, Davila JC, Jackson CJ, Jones PF, Kolaja KL, Curtiss SW. Transcription Profiling Distinguishes Dose-Dependent Effects in the Livers of Rats Treated with Clofibrate. Toxicol Pathol 2003. [DOI: 10.1080/01926230309726] [Citation(s) in RCA: 12] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/27/2022]
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Rodi CP, Bunch RT, Curtiss SW, Kier LD, Cabonce MA, Davila JC, Mitchell MD, Alden CL, Morris DL. Revolution through genomics in investigative and discovery toxicology. Toxicol Pathol 1999; 27:107-10. [PMID: 10367683 DOI: 10.1177/019262339902700120] [Citation(s) in RCA: 25] [Impact Index Per Article: 1.0] [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: 11/15/2022]
Abstract
The remarkable technologic and methodologic advances spurred on by the Human Genome Project are being applied throughout the life sciences. In the field of toxicology, high-resolution assays now make it possible to discover virtually all the differences in gene expression brought on by exposure to a particular xenobiotic. There are 2 principal approaches used to build a catalog of changes in gene expression: hybridization microarrays and gel-based methods, such as differential display and AFLP-based mRNA finger-printing. The power of such approaches is exemplified by the identification of more than 300 genes that differ in expression level by at least 2-fold in response to the nongenotoxic rodent liver carcinogen phenobarbital.
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Affiliation(s)
- C P Rodi
- Genomic Sequencing Center, Monsanto Life Sciences Company, St. Louis, Missouri 63198, USA.
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Sagartz JE, Curtiss SW, Bunch RT, Davila JC, Morris DL, Alden CL. Phenobarbital does not promote hepatic tumorigenesis in a twenty-six-week bioassay in p53 heterozygous mice. Toxicol Pathol 1998; 26:492-500. [PMID: 9715508 DOI: 10.1177/019262339802600405] [Citation(s) in RCA: 13] [Impact Index Per Article: 0.5] [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: 11/15/2022]
Abstract
The tumorigenic potential of phenobarbital was examined in a 26-wk carcinogenesis bioassay using p53 heterozygous mice and wild-type controls. Fifteen mice/sex/genotype were exposed to either 500 or 1,000 ppm phenobarbital in the diet. Dietary administration of 3,750 ppm p-cresidine, a transspecies mutagenic carcinogen, to both heterozygous and wild-type mice served as a positive control. Phenobarbital treatment caused increases in liver:body weight ratios and histologic evidence of centrilobular hepatocellular hypertrophy. No tumors were observed in any phenobarbital-treated mice. Mice given p-cresidine exhibited a moderate reduction in body weight gain over the course of the study. Heterozygous mice treated with p-cresidine exhibited a high incidence of urinary bladder tumors. Similar tumors were also present in a small number of p-cresidine-treated wild-type mice. Our results demonstrate the lack of a hepatic tumor response to phenobarbital, a compound that is a potent and potent and prototypic hepatic microsomal enzyme inducer, a nongenotoxic rodent carcinogen, and a human noncarcinogen. This finding supports the continued utility of this model as an alternative to the mouse bioassay for human carcinogenic safety assessment of potentially genotoxic carcinogenes because it did not produce a false-positive response to this potent nongenotoxic agent.
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Affiliation(s)
- J E Sagartz
- Product Safety Assessment, Searle, St. Louis, Missouri 63167, USA.
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Abstract
The Adh locus in Drosophila species which are members of the repleta group contains products of one or two duplication events. In all species examined to date one of the Adh genes is now a pseudogene, since mutations have rendered these genes incapable of being translated into a functional alcohol dehydrogenase. These pseudogenes contain introns in the standard Adh gene position; hence, their origin is not by retrotransposition. Comparison of the sequences of the Adh-psi from representatives of each of the subgroups of the repleta group reveal that the Adh pseudogene is present in each subgroup and that mutations at codon 2 and a deletion in the region immediately 5' to Adh-psi are common to all species. Therefore, it is likely that the translational inactivation event that resulted in a pseudogene occurred before the divergence of the species that make up the repleta group. We have investigated the transcription of Adh-psi of D. hydei and have found that the transcription has a developmental profile dissimilar from any known Adh gene, does not utilize an Adh promoter, and is initiated at a point almost 12 kb upstream. Comparison of sequence divergence of Adh-psi within species of the repleta group reveals that rates of evolution of the exons of Adh-psi are substantially slower than intergenic regions and are only slightly faster than those of exons of functional Adh genes. Second, retention of codon bias is found in the Adh-psi of most species, and substitution at synonymous coding positions substantially exceeds substitution at nonsynonymous coding positions. Comparison of the evolution of other putative pseudogenes with repleta group Adh pseudogenes suggests that at least some pseudogene sequences in Drosophila may be evolving through mechanisms and/or under influences not presently understood.
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Affiliation(s)
- D T Sullivan
- Department of Biology, Syracuse University, New York 13244
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17
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Abstract
The control of expression of the Adh-1 gene of Drosophila mojavensis has been analyzed by transforming ADH null Drosophila melanogaster hosts with P element constructs which contain D. mojavensis Adh-1 having deletions of different extent in the 5' and 3' ends. Adh-1 expression in the D. melanogaster hosts is qualitatively similar to expression in D. mojavensis, although expression is quantitatively lower in transformants. Deletions of the 5' end indicate that information required for normal temporal and tissue expression in larvae is contained within 70 bp of the transcription start site. However, deletion constructs to -70 are deficient in ovarian nurse cell expression, whereas the additional upstream sequences present in constructs containing deletions to -257 do support expression in the ovary. Comparison of the nucleotide sequence in the -257 to -70 region of Adh-1 of four species: D. mojavensis and Drosophila arizona, which express Adh-1 in the ovary, and Drosophila mulleri and Drosophila navojoa, which do not, has led to the identification of regions of sequence similarity that correlate with ovary expression. One of these bears a striking similarity to a conserved sequence located upstream of the three heat shock genes that have constitutive ovarian expression and may be an ovarian control element. We have identified an aberrant aspect of Adh-1 expression. In transformants which carry an Adh-1 gene without a functional upstream Adh-2 gene Adh-1 expression continues into the adult stage instead of ceasing at the onset of metamorphosis. In transformants with a functional Adh-2 gene, Adh-1 expression ceases in the third larval instar stage and aberrant expression in the adult stage does not occur.
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Affiliation(s)
- C A Bayer
- Department of Biology, Syracuse University, New York 13244
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Abstract
The important role that elastin plays in the development and proper function of lung has long been recognized. Also, the intimate connection between pulmonary emphysema and the destruction of alveolar elastin has been well established. Understanding the mechanisms regulating pulmonary elastin synthesis is crucial to fully understanding these normal and pathological processes. In this article, we review recent literature on elastin structure, the elastin gene and its multiple RNA transcripts, and the different tropoelastin isoforms that are translated from these mRNAs. The similarity of lung and aortic elastin and the cellular origin of lung elastin are also discussed. We next examine the few studies addressing regulation of elastin expression during lung development, maturation, and aging. The search for modulators of pulmonary elastogenesis, which has yielded mostly negative results, is then reviewed. Finally, we present a cell culture model that has been developed to study the molecular basis of lung injury in pulmonary emphysema.
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Affiliation(s)
- J A Foster
- Department of Biochemistry, Boston University School of Medicine, Massachusetts 02118
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Pollock J, Baule VJ, Rich CB, Ginsburg CD, Curtiss SW, Foster JA. Chick tropoelastin isoforms. From the gene to the extracellular matrix. J Biol Chem 1990; 265:3697-702. [PMID: 2303474] [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] [Grants] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/31/2022] Open
Abstract
Studies from several laboratories have demonstrated the existence of multiple tropoelasting mRNAs and protein isoforms. The present study was designed to examine the developmental expression of a specific tropoelastin mRNA, its encoded isoform, and the fate of that isoform in the extracellular matrix. A chick genomic DNA library was screened with a chick tropoelastin cDNA. Seven unique, overlapping clones spanning 39 kilobases were isolated. A synthetic oligonucleotide complementary to a variable tropoelastin mRNA sequence was used to identify a 1.5-kilobase PstI-BamHI genomic fragment. Nucleotide sequence data revealed that the putative exon was surrounded by intron sequences possessing canonical splice sites at the exon/intron borders. Using both immunologic and molecular probes specific to the tropoelastin isoform and mRNA, quantitative protein and RNA analyses were performed. Results demonstrate that total tropoelastin mRNAs increased significantly during aortic embryogenesis whereas the amount of mRNA containing the variable exon remained relatively constant. The amount of total tropoelastins within the same developmental period reflect the level of total tropoelastin mRNA. The amount of the tropoelastin isoform containing the variable exon essentially mirrored the corresponding mRNA with the exception that a decrease in the isoform at day 15 was not seen in the mRNA level. Immunoelectron micrographs of 13-day chick aortic tissue using both total and isoform-specific antisera showed ultrastructural localization to definable elastic fibers. Antibodies to the variable tropoelastin isoform occurred preferentially at sites where elastic fiber microfibril structures were evident.
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Affiliation(s)
- J Pollock
- Department of Biology, Syracuse University, New York 13244-1220
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Pollock J, Baule VJ, Rich CB, Ginsburg CD, Curtiss SW, Foster JA. Chick tropoelastin isoforms. From the gene to the extracellular matrix. J Biol Chem 1990. [DOI: 10.1016/s0021-9258(19)39650-4] [Citation(s) in RCA: 22] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022] Open
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