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Kim J, Yoon S, Kondakala S, Foley SL, Hart M, Baek DH, Wang W, Kim SK, Sutherland JB, Kim SJ, Kweon O. CPGminer: An Interactive Dashboard to Explore the Genomic Features and Taxonomy of Complete Prokaryotic Genomes. Microorganisms 2023; 11:2556. [PMID: 37894214 PMCID: PMC10609142 DOI: 10.3390/microorganisms11102556] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2023] [Revised: 09/22/2023] [Accepted: 10/08/2023] [Indexed: 10/29/2023] Open
Abstract
Prokaryotes, the earliest forms of life on Earth, play crucial roles in global biogeochemical processes in virtually all ecosystems. The ever-increasing amount of prokaryotic genome sequencing data provides a wealth of information to examine fundamental and applied questions through systematic genome comparison. Genomic features, such as genome size and GC content, and taxonomy-centric genomic features of complete prokaryotic genomes (CPGs) are crucial for various fields of microbial research and education, yet they are often overlooked. Additionally, creating systematically curated datasets that align with research concerns is an essential yet challenging task for wet-lab researchers. In this study, we introduce CPGminer, a user-friendly tool that allows researchers to quickly and easily examine the genomic features and taxonomy of CPGs and curate genome datasets. We also provide several examples to demonstrate its practical utility in addressing descriptive questions.
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Affiliation(s)
- Jaehyun Kim
- Division of Bioinformatics and Biostatistics, National Center for Toxicological Research, U.S. Food and Drug Administration, Jefferson, AR 72079, USA;
| | - Sunghyun Yoon
- Division of Microbiology, National Center for Toxicological Research, U.S. Food and Drug Administration, Jefferson, AR 72079, USA; (S.Y.); (S.K.); (S.L.F.); (M.H.); (J.B.S.)
| | - Sandeep Kondakala
- Division of Microbiology, National Center for Toxicological Research, U.S. Food and Drug Administration, Jefferson, AR 72079, USA; (S.Y.); (S.K.); (S.L.F.); (M.H.); (J.B.S.)
| | - Steven L. Foley
- Division of Microbiology, National Center for Toxicological Research, U.S. Food and Drug Administration, Jefferson, AR 72079, USA; (S.Y.); (S.K.); (S.L.F.); (M.H.); (J.B.S.)
| | - Mark Hart
- Division of Microbiology, National Center for Toxicological Research, U.S. Food and Drug Administration, Jefferson, AR 72079, USA; (S.Y.); (S.K.); (S.L.F.); (M.H.); (J.B.S.)
| | - Dong-Heon Baek
- Department of Oral Microbiology and Immunology, School of Dentistry, Dankook University, Cheonan 31116, Republic of Korea;
| | - Wenjun Wang
- Department of Management, Marketing, and Technology, University of Arkansas at Little Rock, Little Rock, AR 72204, USA; (W.W.); (S.-K.K.)
| | - Sung-Kwan Kim
- Department of Management, Marketing, and Technology, University of Arkansas at Little Rock, Little Rock, AR 72204, USA; (W.W.); (S.-K.K.)
| | - John B. Sutherland
- Division of Microbiology, National Center for Toxicological Research, U.S. Food and Drug Administration, Jefferson, AR 72079, USA; (S.Y.); (S.K.); (S.L.F.); (M.H.); (J.B.S.)
| | - Seong-Jae Kim
- Division of Microbiology, National Center for Toxicological Research, U.S. Food and Drug Administration, Jefferson, AR 72079, USA; (S.Y.); (S.K.); (S.L.F.); (M.H.); (J.B.S.)
| | - Ohgew Kweon
- Division of Microbiology, National Center for Toxicological Research, U.S. Food and Drug Administration, Jefferson, AR 72079, USA; (S.Y.); (S.K.); (S.L.F.); (M.H.); (J.B.S.)
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Hasanzad M, Sarhangi N, Ehsani Chimeh S, Ayati N, Afzali M, Khatami F, Nikfar S, Aghaei Meybodi HR. Precision medicine journey through omics approach. J Diabetes Metab Disord 2022; 21:881-888. [PMID: 35673436 DOI: 10.1007/s40200-021-00913-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/10/2021] [Accepted: 10/02/2021] [Indexed: 10/19/2022]
Abstract
It has been well established that understanding the underlying heterogeneity of numerous complex disease process needs new strategies that present in precision medicine for prediction, prevention and personalized treatment strategies. This approach must be tailored for each individual's unique omics that lead to personalized management of disease. The correlation between different omics data should be considered in precision medicine approach. The interaction provides a hypothesis which is called domino effect in the present minireview. Here we review the various potentials of omics data including genomics, transcriptomics, proteomics, metabolomics, pharmacogenomics. We comprehensively summarize the impact of omics data and its major role in precision medicine and provide a description about the domino effect on the pathophysiology of diseases. Each constituent of the omics data typically provides different information in associated with disease. Current research, although inadequate, clearly indicate that the information of omics data can be applicable in the concept of precision medicine. Integration of different omics data type in domino effect hypothesis can explain the causative changes of disease as it is discussed in the system biology too. While most existing studies investigate the omics data separately, data integration is needed on the horizon of precision medicine by using machine learning.
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Affiliation(s)
- Mandana Hasanzad
- Medical Genomics Research Center, Tehran Medical Sciences, Islamic Azad University, Tehran, Iran.,Personalized Medicine Research Center, Endocrinology and Metabolism Clinical Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Negar Sarhangi
- Personalized Medicine Research Center, Endocrinology and Metabolism Clinical Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
| | | | - Nayereh Ayati
- Department of Pharmacoeconomics and Pharmaceutical Administration, Faculty of Pharmacy, Tehran University of Medical Sciences, Tehran, Iran
| | - Monireh Afzali
- Department of Pharmacoeconomics and Pharmaceutical Administration, Faculty of Pharmacy, Tehran University of Medical Sciences, Tehran, Iran
| | - Fatemeh Khatami
- Urology Research Center, Tehran University of Medical Sciences, Tehran, Iran
| | - Shekoufeh Nikfar
- Endocrinology and Metabolism Research Center, Endocrinology and Metabolism Clinical Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Hamid Reza Aghaei Meybodi
- Personalized Medicine Research Center, Endocrinology and Metabolism Clinical Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
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Mann SP, Treit PV, Geyer PE, Omenn GS, Mann M. Ethical Principles, Constraints and Opportunities in Clinical Proteomics. Mol Cell Proteomics 2021; 20:100046. [PMID: 33453411 PMCID: PMC7950205 DOI: 10.1016/j.mcpro.2021.100046] [Citation(s) in RCA: 22] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/18/2020] [Accepted: 01/04/2021] [Indexed: 12/11/2022] Open
Abstract
Recent advances in mass spectrometry (MS)-based proteomics have vastly increased the quality and scope of biological information that can be derived from human samples. These advances have rendered current workflows increasingly applicable in biomedical and clinical contexts. As proteomics is poised to take an important role in the clinic, associated ethical responsibilities increase in tandem with impacts on the health, privacy, and wellbeing of individuals. We conducted and here report a systematic literature review of ethical issues in clinical proteomics. We add our perspectives from a background of bioethics, the results of our accompanying paper extracting individual-sensitive results from patient samples, and the literature addressing similar issues in genomics. The spectrum of potential issues ranges from patient re-identification to incidental findings of clinical significance. The latter can be divided into actionable and unactionable findings. Some of these have the potential to be employed in discriminatory or privacy-infringing ways. However, incidental findings may also have great positive potential. A plasma proteome profile, for instance, could inform on the general health or disease status of an individual regardless of the narrow diagnostic question that prompted it. We suggest that early discussion of ethical issues in clinical proteomics can ensure that eventual healthcare practices and regulations reflect the considered judgment of the community and anticipate opportunities and problems that may arise as the technology matures.
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Affiliation(s)
- Sebastian Porsdam Mann
- Department of Media, Cognition and Communication, University of Copenhagen, Copenhagen, Denmark; Uehiro Center for Practical Ethics, University of Oxford, Oxford, UK; New address: Faculty of Law, University of Oxford, Oxford, UK.
| | - Peter V Treit
- Department of Proteomics and Signal Transduction, Max Planck Institute of Biochemistry, Martinsried, Germany
| | - Philipp E Geyer
- Department of Proteomics and Signal Transduction, Max Planck Institute of Biochemistry, Martinsried, Germany; NNF Center for Protein Research, Faculty of Health Sciences, University of Copenhagen, Copenhagen, Denmark; New address: OmicEra Diagnostics GmbH, Planegg, Germany
| | - Gilbert S Omenn
- Departments of Computational Medicine & Bioinformatics, Internal Medicine, Human Genetics, and School of Public Health, University of Michigan, Ann Arbor, MI, USA
| | - Matthias Mann
- Department of Proteomics and Signal Transduction, Max Planck Institute of Biochemistry, Martinsried, Germany; NNF Center for Protein Research, Faculty of Health Sciences, University of Copenhagen, Copenhagen, Denmark.
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McDonald F, Holmes C, Jones M, Graham JE. How Do Postgenomic Innovations Emerge? Building Legitimacy by Proteomics Standards and Informing the Next-Generation Technology Policy. OMICS-A JOURNAL OF INTEGRATIVE BIOLOGY 2019; 23:406-415. [PMID: 31380729 DOI: 10.1089/omi.2019.0053] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/12/2022]
Abstract
How do postgenomic innovations emerge and become legitimate? Proteomics, a frequently utilized postgenomic technology, provides a valuable case study of the sociotechnical strategies used by an emergent scientific field to establish its legitimacy and assert political power. Chief among these strategies is standard making, an inherently political process that requires examination through a critical social science lens. We report in this study an original case study from interviews with proteomics scientists and observations at conferences of the Human Proteome Organization and Australasian Proteomics Society over a 5-year period (2011-2015). The study contributes new knowledge on how an emerging postgenomic science uses standard-setting practices to politically legitimize a hitherto contested technology. Drawing on legitimacy theory, we show how proteomics scientists and organizations used standards as strategic tools to establish the legitimacy of this postgenomic field and affirm that proteomics can generate verifiable and reproducible results, thereby establishing it as a legitimate scientific field. Notably, legitimacy can be leveraged, at the same time, to maximize political power vis-à-vis other fields of science and as such embodies power relationships. These data collectively inform the broader context, in which postgenomic innovations emerge and legitimize, both technically and politically, through standards making. These findings have relevance for the design of next generation technology policies by demonstrating that standards are not "just" standards or neutral constructs but also tools to leverage political power of and by science and innovation actors, as shown in this case study of the emerging early phase of proteomics from 2011 to 2015.
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Affiliation(s)
- Fiona McDonald
- 1Australian Centre for Health Law Research, Queensland University of Technology, Brisbane, Australia
| | - Christina Holmes
- 2Health Program, St. Francis Xavier University, Antigonish, Canada
| | - Mavis Jones
- 3Technoscience and Regulation Research Unit, Dalhousie University, Halifax, Canada
- 4Department of Pediatrics, Dalhousie University, Halifax, Canada
| | - Janice E Graham
- 3Technoscience and Regulation Research Unit, Dalhousie University, Halifax, Canada
- 4Department of Pediatrics, Dalhousie University, Halifax, Canada
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Holmes C, McDonald F, Jones M, Graham J. Knowledge Translation: Moving Proteomics Science to Innovation in Society. OMICS-A JOURNAL OF INTEGRATIVE BIOLOGY 2016; 20:352-61. [DOI: 10.1089/omi.2016.0032] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/12/2022]
Affiliation(s)
- Christina Holmes
- Technoscience and Regulation Research Unit, Department of Pediatrics, Dalhousie University, Halifax, Canada
| | - Fiona McDonald
- Technoscience and Regulation Research Unit, Department of Pediatrics, Dalhousie University, Halifax, Canada
- Australian Centre for Health Law Research, Queensland University of Technology, Brisbane, Australia
| | - Mavis Jones
- Technoscience and Regulation Research Unit, Department of Pediatrics, Dalhousie University, Halifax, Canada
| | - Janice Graham
- Technoscience and Regulation Research Unit, Department of Pediatrics, Dalhousie University, Halifax, Canada
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