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Bharne D. A protein interactions map of multiple organ systems associated with COVID-19 disease. Genomics Inform 2021; 19:e14. [PMID: 34261299 PMCID: PMC8261268 DOI: 10.5808/gi.20078] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/24/2020] [Accepted: 05/04/2021] [Indexed: 02/03/2023] Open
Abstract
Coronavirus disease 2019 (COVID-19) is an on-going pandemic disease infecting millions of people across the globe. Recent reports of reduction in antibody levels and the re-emergence of the disease in recovered patients necessitated the understanding of the pandemic at the core level. The cases of multiple organ failures emphasized the consideration of different organ systems while managing the disease. The present study employed RNA sequencing data to determine the disease associated differentially regulated genes and their related protein interactions in several organ systems. It signified the importance of early diagnosis and treatment of the disease. A map of protein interactions of multiple organ systems was built and uncovered CAV1 and CTNNB1 as the top degree nodes. A core interactions sub-network was analyzed to identify different modules of functional significance. AR, CTNNB1, CAV1, and PIK3R1 proteins were unfolded as bridging nodes interconnecting different modules for the information flow across several pathways. The present study also highlighted some of the druggable targets to analyze in drug re-purposing strategies against the COVID-19 pandemic. Therefore, the protein interactions map and the modular interactions of the differentially regulated genes in the multiple organ systems would incline the scientists and researchers to investigate in novel therapeutics for the COVID-19 pandemic expeditiously.
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Affiliation(s)
- Dhammapal Bharne
- Department of Biotechnology and Bioinformatics, University of Hyderabad, Hyderabad 500046, India
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2
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Sharma MMM, Ramekar RV, Park NI, Choi IY, Choi SK, Park KC. Editor's introduction to this issue (G&I 19:1, 2021). Genomics Inform 2021; 19:e45. [PMID: 35172475 PMCID: PMC8752983 DOI: 10.5808/gi.21055] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2021] [Accepted: 09/29/2021] [Indexed: 11/20/2022] Open
Abstract
Brassica napus is the third most important oilseed crop in the world; however, in Korea, it is greatly affected by cold stress, limiting seed growth and production. Plants have developed specific stress responses that are generally divided into three categories: cold-stress signaling, transcriptional/post-transcriptional regulation, and stress-response mechanisms. Large numbers of functional and regulatory proteins are involved in these processes when triggered by cold stress. Here, our objective was to investigate the different genetic factors involved in the cold-stress responses of B. napus. Consequently, we treated the Korean B. napus cultivar Naehan at the 4-week stage in cold chambers under different conditions, and RNA and cDNA were obtained. An in silico analysis included 80 cold-responsive genes downloaded from the National Center for Biotechnology Information (NCBI) database. Expression levels were assessed by reverse transcription polymerase chain reaction, and 14 cold-triggered genes were identified under cold-stress conditions. The most significant genes encoded zinc-finger proteins (33.7%), followed by MYB transcription factors (7.5%). In the future, we will select genes appropriate for improving the cold tolerance of B. napus.
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Affiliation(s)
| | - Rahul Vasudeo Ramekar
- Department of Agriculture and Life Industries, Kangwon National University, Chuncheon 24341, Korea
| | - Nam-Il Park
- Department of Plant Science, Gangneung-Wonju National University, Gangneung 25457, Korea
| | - Ik-Young Choi
- Department of Agriculture and Life Industries, Kangwon National University, Chuncheon 24341, Korea
| | - Seon-Kang Choi
- Department of Agriculture and Life Industries, Kangwon National University, Chuncheon 24341, Korea
| | - Kyong-Cheul Park
- Department of Agriculture and Life Industries, Kangwon National University, Chuncheon 24341, Korea
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Park T. Editor's introduction to this issue (G&I 19:1, 2021). Genomics Inform 2021; 19:e1. [PMID: 33840165 PMCID: PMC8042307 DOI: 10.5808/gi.21191] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2021] [Accepted: 03/29/2021] [Indexed: 11/20/2022] Open
Affiliation(s)
- Taesung Park
- Department of Statistics, Seoul National University, Seoul 08826, Korea
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Retracted: Next Generation Sequencing: Potential and Application in Drug Discovery. ScientificWorldJournal 2020; 2020:1757504. [PMID: 32908459 PMCID: PMC7468646 DOI: 10.1155/2020/1757504] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/23/2020] [Accepted: 07/23/2020] [Indexed: 11/18/2022] Open
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Bigaeva E, Gore E, Simon E, Zwick M, Oldenburger A, de Jong KP, Hofker HS, Schlepütz M, Nicklin P, Boersema M, Rippmann JF, Olinga P. Transcriptomic characterization of culture-associated changes in murine and human precision-cut tissue slices. Arch Toxicol 2019; 93:3549-3583. [PMID: 31754732 DOI: 10.1007/s00204-019-02611-6] [Citation(s) in RCA: 21] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/24/2019] [Accepted: 11/05/2019] [Indexed: 12/14/2022]
Abstract
Our knowledge of complex pathological mechanisms underlying organ fibrosis is predominantly derived from animal studies. However, relevance of animal models for human disease is limited; therefore, an ex vivo model of human precision-cut tissue slices (PCTS) might become an indispensable tool in fibrosis research and drug development by bridging the animal-human translational gap. This study, presented as two parts, provides comprehensive characterization of the dynamic transcriptional changes in PCTS during culture by RNA sequencing. Part I investigates the differences in culture-induced responses in murine and human PCTS derived from healthy liver, kidney and gut. Part II delineates the molecular processes in cultured human PCTS generated from diseased liver, kidney and ileum. We demonstrated that culture was associated with extensive transcriptional changes and impacted PCTS in a universal way across the organs and two species by triggering an inflammatory response and fibrosis-related extracellular matrix (ECM) remodelling. All PCTS shared mRNA upregulation of IL-11 and ECM-degrading enzymes MMP3 and MMP10. Slice preparation and culturing activated numerous pathways across all PCTS, especially those involved in inflammation (IL-6, IL-8 and HMGB1 signalling) and tissue remodelling (osteoarthritis pathway and integrin signalling). Despite the converging effects of culture, PCTS display species-, organ- and pathology-specific differences in the regulation of genes and canonical pathways. The underlying pathology in human diseased PCTS endures and influences biological processes like cytokine release. Our study reinforces the use of PCTS as an ex vivo fibrosis model and supports future studies towards its validation as a preclinical tool for drug development.
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Affiliation(s)
- Emilia Bigaeva
- Department of Pharmaceutical Technology and Biopharmacy, University of Groningen, Antonius Deusinglaan 1, Groningen, 9713AV, The Netherlands
| | - Emilia Gore
- Department of Pharmaceutical Technology and Biopharmacy, University of Groningen, Antonius Deusinglaan 1, Groningen, 9713AV, The Netherlands
| | - Eric Simon
- Computational Biology, Boehringer Ingelheim Pharma GmbH & Co. KG, Birkendorfer Str. 65, 88397, Biberach an der Riss, Germany
| | - Matthias Zwick
- Computational Biology, Boehringer Ingelheim Pharma GmbH & Co. KG, Birkendorfer Str. 65, 88397, Biberach an der Riss, Germany
| | - Anouk Oldenburger
- Cardiometabolic Disease Research, Boehringer Ingelheim Pharma GmbH & Co. KG, Birkendorfer Str. 65, 88397, Biberach an der Riss, Germany
| | - Koert P de Jong
- Department of Hepato-Pancreato-Biliary Surgery and Liver Transplantation, University Medical Center Groningen, University of Groningen, Hanzeplein 1, 9713 GZ, Groningen, The Netherlands
| | - Hendrik S Hofker
- Department of Surgery, University Medical Center Groningen, University of Groningen, Hanzeplein 1, 9713 GZ, Groningen, The Netherlands
| | - Marco Schlepütz
- Respiratory Diseases, Boehringer Ingelheim Pharma GmbH & Co. KG, Birkendorfer Str. 65, 88397, Biberach an der Riss, Germany
| | - Paul Nicklin
- Research Beyond Borders, Boehringer Ingelheim Pharma GmbH & Co. KG, Birkendorfer Str. 65, 88397, Biberach an der Riss, Germany
| | - Miriam Boersema
- Department of Pharmaceutical Technology and Biopharmacy, University of Groningen, Antonius Deusinglaan 1, Groningen, 9713AV, The Netherlands
| | - Jörg F Rippmann
- Cardiometabolic Disease Research, Boehringer Ingelheim Pharma GmbH & Co. KG, Birkendorfer Str. 65, 88397, Biberach an der Riss, Germany
| | - Peter Olinga
- Department of Pharmaceutical Technology and Biopharmacy, University of Groningen, Antonius Deusinglaan 1, Groningen, 9713AV, The Netherlands.
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Ahfeldt T, Litterman NK, Rubin LL. Studying human disease using human neurons. Brain Res 2017; 1656:40-48. [PMID: 27060768 PMCID: PMC5053850 DOI: 10.1016/j.brainres.2016.03.051] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/03/2015] [Revised: 03/08/2016] [Accepted: 03/31/2016] [Indexed: 01/25/2023]
Abstract
Utilizing patient derived cells has enormous promise for discovering new drugs for diseases of the nervous system, a goal that has been historically quite challenging. In this review, we will outline the potential of human stem cell derived neuron models for assessing therapeutics and high-throughput screening and compare to more traditional drug discovery strategies. We summarize recent successes of the approach and discuss special considerations for developing human stem cell based assays. New technologies, such as genome editing, offer improvements to help overcome the challenges that remain. Finally, human neurons derived from patient cells have advantages for translational research beyond drug screening as they can also be used to identify individual efficacy and safety prior to clinical testing and for dissecting disease mechanisms. This article is part of a Special Issue entitled SI: Exploiting human neurons.
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Affiliation(s)
- Tim Ahfeldt
- Department of Stem Cells and Regenerative Biology, Harvard University, Cambridge MA , USA, , Fax: 617-495-3961
| | - Nadia K. Litterman
- Department of Stem Cells and Regenerative Biology, Harvard University, Cambridge MA , USA, , Fax: 617-495-3961
| | - Lee L. Rubin
- Department of Stem Cells and Regenerative Biology, Harvard University, Cambridge MA , USA, , Fax: 617-495-3961
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Recent Perspective of Next Generation Sequencing: Applications in Molecular Plant Biology and Crop Improvement. ACTA ACUST UNITED AC 2016. [DOI: 10.1007/s40011-016-0770-7] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
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Pollastro C, Ziviello C, Costa V, Ciccodicola A. Pharmacogenomics of Drug Response in Type 2 Diabetes: Toward the Definition of Tailored Therapies? PPAR Res 2015; 2015:415149. [PMID: 26161088 PMCID: PMC4486250 DOI: 10.1155/2015/415149] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2015] [Accepted: 05/24/2015] [Indexed: 12/14/2022] Open
Abstract
Type 2 diabetes is one of the major causes of mortality with rapidly increasing prevalence. Pharmacological treatment is the first recommended approach after failure in lifestyle changes. However, a significant number of patients shows-or develops along time and disease progression-drug resistance. In addition, not all type 2 diabetic patients have the same responsiveness to drug treatment. Despite the presence of nongenetic factors (hepatic, renal, and intestinal), most of such variability is due to genetic causes. Pharmacogenomics studies have described association between single nucleotide variations and drug resistance, even though there are still conflicting results. To date, the most reliable approach to investigate allelic variants is Next-Generation Sequencing that allows the simultaneous analysis, on a genome-wide scale, of nucleotide variants and gene expression. Here, we review the relationship between drug responsiveness and polymorphisms in genes involved in drug metabolism (CYP2C9) and insulin signaling (ABCC8, KCNJ11, and PPARG). We also highlight the advancements in sequencing technologies that to date enable researchers to perform comprehensive pharmacogenomics studies. The identification of allelic variants associated with drug resistance will constitute a solid basis to establish tailored therapeutic approaches in the treatment of type 2 diabetes.
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Affiliation(s)
- Carla Pollastro
- Institute of Genetics and Biophysics “Adriano Buzzati-Traverso”, National Research Council, Via Pietro Castellino 111, 80131 Naples, Italy
- DiST, Department of Science and Technology, “Parthenope” University of Naples, Centro Direzionale, Isola C4, 80143 Naples, Italy
| | - Carmela Ziviello
- Institute of Genetics and Biophysics “Adriano Buzzati-Traverso”, National Research Council, Via Pietro Castellino 111, 80131 Naples, Italy
| | - Valerio Costa
- Institute of Genetics and Biophysics “Adriano Buzzati-Traverso”, National Research Council, Via Pietro Castellino 111, 80131 Naples, Italy
| | - Alfredo Ciccodicola
- Institute of Genetics and Biophysics “Adriano Buzzati-Traverso”, National Research Council, Via Pietro Castellino 111, 80131 Naples, Italy
- DiST, Department of Science and Technology, “Parthenope” University of Naples, Centro Direzionale, Isola C4, 80143 Naples, Italy
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Simonyan V, Mazumder R. High-Performance Integrated Virtual Environment (HIVE) Tools and Applications for Big Data Analysis. Genes (Basel) 2014; 5:957-81. [PMID: 25271953 PMCID: PMC4276921 DOI: 10.3390/genes5040957] [Citation(s) in RCA: 46] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/11/2014] [Revised: 09/22/2014] [Accepted: 09/22/2014] [Indexed: 12/30/2022] Open
Abstract
The High-performance Integrated Virtual Environment (HIVE) is a high-throughput cloud-based infrastructure developed for the storage and analysis of genomic and associated biological data. HIVE consists of a web-accessible interface for authorized users to deposit, retrieve, share, annotate, compute and visualize Next-generation Sequencing (NGS) data in a scalable and highly efficient fashion. The platform contains a distributed storage library and a distributed computational powerhouse linked seamlessly. Resources available through the interface include algorithms, tools and applications developed exclusively for the HIVE platform, as well as commonly used external tools adapted to operate within the parallel architecture of the system. HIVE is composed of a flexible infrastructure, which allows for simple implementation of new algorithms and tools. Currently, available HIVE tools include sequence alignment and nucleotide variation profiling tools, metagenomic analyzers, phylogenetic tree-building tools using NGS data, clone discovery algorithms, and recombination analysis algorithms. In addition to tools, HIVE also provides knowledgebases that can be used in conjunction with the tools for NGS sequence and metadata analysis.
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Affiliation(s)
- Vahan Simonyan
- Center for Biologics Evaluation and Research, Food and Drug Administration, Silver Spring, MD 20993, USA.
| | - Raja Mazumder
- Department of Biochemistry and Molecular Medicine, George Washington University, Washington, DC 20037, USA.
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