1
|
Ruth B, Peter S, Ibrahim B, Dittrich P. Revealing the hierarchical structure of microbial communities. Sci Rep 2024; 14:11202. [PMID: 38755262 PMCID: PMC11099180 DOI: 10.1038/s41598-024-61836-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2023] [Accepted: 05/10/2024] [Indexed: 05/18/2024] Open
Abstract
Measuring the dynamics of microbial communities results in high-dimensional measurements of taxa abundances over time and space, which is difficult to analyze due to complex changes in taxonomic compositions. This paper presents a new method to investigate and visualize the intrinsic hierarchical community structure implied by the measurements. The basic idea is to identify significant intersection sets, which can be seen as sub-communities making up the measured communities. Using the subset relationship, the intersection sets together with the measurements form a hierarchical structure visualized as a Hasse diagram. Chemical organization theory (COT) is used to relate the hierarchy of the sets of taxa to potential taxa interactions and to their potential dynamical persistence. The approach is demonstrated on a data set of community data obtained from bacterial 16S rRNA gene sequencing for samples collected monthly from four groundwater wells over a nearly 3-year period (n = 114) along a hillslope area. The significance of the hierarchies derived from the data is evaluated by showing that they significantly deviate from a random model. Furthermore, it is demonstrated how the hierarchy is related to temporal and spatial factors; and how the idea of a core microbiome can be extended to a set of interrelated core microbiomes. Together the results suggest that the approach can support developing models of taxa interactions in the future.
Collapse
Affiliation(s)
- Beatrice Ruth
- Department of Mathematics and Computer Science, Friedrich Schiller University Jena, Fürstengraben, 07743, Jena, Germany
| | - Stephan Peter
- Department of Basic Sciences, Ernst-Abbe University of Applied Sciences Jena, Carl-Zeiss-Promenade 2, 07745, Jena, Germany
| | - Bashar Ibrahim
- Department of Mathematics and Computer Science, Friedrich Schiller University Jena, Fürstengraben, 07743, Jena, Germany.
- Department of Mathematics & Natural Sciences and Centre for Applied Mathematics & Bioinformatics, Gulf University for Science and Technology, 32093, Hawally, Kuwait.
- European Virus Bioinformatics Center, Leutragraben 1, 07743, Jena, Germany.
| | - Peter Dittrich
- Department of Mathematics and Computer Science, Friedrich Schiller University Jena, Fürstengraben, 07743, Jena, Germany.
| |
Collapse
|
2
|
Liu W, Shi T, Zheng D, Ke G, Chen J. Identification of allograft inflammatory factor-1 suppressing the progression and indicating good prognosis of osteosarcoma. BMC Musculoskelet Disord 2024; 25:233. [PMID: 38521928 PMCID: PMC10960474 DOI: 10.1186/s12891-024-07363-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/25/2023] [Accepted: 03/19/2024] [Indexed: 03/25/2024] Open
Abstract
BACKGROUND Osteosarcoma is one of the most common cancers worldwide. Intense efforts have been made to elucidate the pathogeny, but the mechanisms of osteosarcoma are still not well understood. We aimed to investigate the potential biomarker, allograft inflammatory factor-1 (AIF1), affecting the progression and prognosis of osteosarcoma. METHODS Three microarray datasets were downloaded from GEO datasets and one was obtained from the TCGA dataset. The differentially expressed genes (DEGs) were identified. GO and KEGG functional enrichment analyses of overlapped DEGs were performed. The PPI network of overlapped DEGs was constructed by STRING and visualized with Cytoscape. Overall survival (OS) and Metastasis free survival (MFS) were analyzed from GSE21257. Finally, the effect of the most relevant core gene affecting the progression of osteosarcoma was examined in vitro. RESULTS One hundred twenty six DEGs were identified, consisting of 65 upregulated and 61 downregulated genes. Only AIF1 was significantly associated with OS and MFS. It was found that AIF1 could be enriched into the NF-κB signaling pathway. GSEA and ssGSEA analyses showed that AIF1 was associated with the immune invasion of tumors. Cell experiments showed that AIF1 was underexpressed in osteosarcoma cell lines, while the malignant propriety was attenuated after overexpressing the expression of AIF1. Moreover, AIF1 also affects the expression of the NF-κB pathway. CONCLUSION In conclusion, DEGs and hub genes identified in the present study help us understand the molecular mechanisms underlying the carcinogenesis and progression of osteosarcoma, and provide candidate targets for diagnosis and treatment of osteosarcoma.
Collapse
Affiliation(s)
- Wenda Liu
- Department of Orthopedics, Xiangyang No.1 People's Hospital, Hubei University of Medicine, Xiangyang, 441000, Hubei Province, P. R. China
- Department of Orthopedics, Renmin Hospital of Wuhan University, Wuhan, 430060, Hubei Province, P.R. China
| | - Tao Shi
- Department of Otolaryngology-Head and Neck Surgery, Renmin Hospital of Wuhan University, Wuhan, 430060, Hubei Province, P.R. China
| | - Di Zheng
- Department of Orthopedics, Renmin Hospital of Wuhan University, Wuhan, 430060, Hubei Province, P.R. China
| | - Guangshui Ke
- Department of Orthopedics, Xiangyang No.1 People's Hospital, Hubei University of Medicine, Xiangyang, 441000, Hubei Province, P. R. China
| | - Jingteng Chen
- Department of Orthopedics, Xiangyang No.1 People's Hospital, Hubei University of Medicine, Xiangyang, 441000, Hubei Province, P. R. China.
| |
Collapse
|
3
|
Chen L, Hua J, He X. Bioinformatics analysis identifies a key gene HLA_DPA1 in severe influenza-associated immune infiltration. BMC Genomics 2024; 25:257. [PMID: 38454348 PMCID: PMC10918912 DOI: 10.1186/s12864-024-10184-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2023] [Accepted: 03/04/2024] [Indexed: 03/09/2024] Open
Abstract
BACKGROUND Severe influenza is a serious global health issue that leads to prolonged hospitalization and mortality on a significant scale. The pathogenesis of this infectious disease is poorly understood. Therefore, this study aimed to identify the key genes associated with severe influenza patients necessitating invasive mechanical ventilation. METHODS The current study utilized two publicly accessible gene expression profiles (GSE111368 and GSE21802) from the Gene Expression Omnibus database. The research focused on identifying the genes exhibiting differential expression between severe and non-severe influenza patients. We employed three machine learning algorithms, namely the Least Absolute Shrinkage and Selection Operator regression model, Random Forest, and Support Vector Machine-Recursive Feature Elimination, to detect potential key genes. The key gene was further selected based on the diagnostic performance of the target genes substantiated in the dataset GSE101702. A single-sample gene set enrichment analysis algorithm was applied to evaluate the participation of immune cell infiltration and their associations with key genes. RESULTS A total of 44 differentially expressed genes were recognized; among them, we focused on 10 common genes, namely PCOLCE2, HLA_DPA1, LOC653061, TDRD9, MPO, HLA_DQA1, MAOA, S100P, RAP1GAP, and CA1. To ensure the robustness of our findings, we employed overlapping LASSO regression, Random Forest, and SVM-RFE algorithms. By utilizing these algorithms, we were able to pinpoint the aforementioned 10 genes as potential biomarkers for distinguishing between both cases of influenza (severe and non-severe). However, the gene HLA_DPA1 has been recognized as a crucial factor in the pathological condition of severe influenza. Notably, the validation dataset revealed that this gene exhibited the highest area under the receiver operating characteristic curve, with a value of 0.891. The use of single-sample gene set enrichment analysis has provided valuable insights into the immune responses of patients afflicted with severe influenza that have further revealed a categorical correlation between the expression of HLA_DPA1 and lymphocytes. CONCLUSION The findings indicated that the HLA_DPA1 gene may play a crucial role in the immune-pathological condition of severe influenza and could serve as a promising therapeutic target for patients infected with severe influenza.
Collapse
Affiliation(s)
- Liang Chen
- Department of Infectious Diseases, Taikang Xianlin Drum Tower Hospital, Affiliated Hospital of Medical College of Nanjing University, No 188, Lingshan North Road, Qixia District, Nanjing, 210046, China.
| | - Jie Hua
- Department of Gastroenterology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Xiaopu He
- Department of Geriatric Gastroenterology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| |
Collapse
|
4
|
Zhang YJ, Yi DH. CDK1-SRC Interaction-Dependent Transcriptional Activation of HSP90AB1 Promotes Antitumor Immunity in Hepatocellular Carcinoma. J Proteome Res 2023; 22:3714-3729. [PMID: 37949475 DOI: 10.1021/acs.jproteome.3c00379] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2023]
Abstract
This study aimed to analyze multiomics data and construct a regulatory network involving kinases, transcription factors, and immune genes in hepatocellular carcinoma (HCC) prognosis. The researchers used transcriptomic, proteomic, and clinical data from TCGA and GEO databases to identify immune genes associated with HCC. Statistical analysis, meta-analysis, and protein-protein interaction analyses were performed to identify key immune genes and their relationships. In vitro and in vivo experiments validated the CDK1-SRC-HSP90AB1 network's effects on HCC progression and antitumor immunity. A prognostic risk model was developed using clinicopathological features and immune infiltration. The immune genes LPA, BIRC5, HSP90AB1, ROBO1, and CCL20 were identified as the key prognostic factors. The CDK1-SRC-HSP90AB1 network promoted HCC cell proliferation and migration, with HSP90AB1 being transcriptionally activated by the CDK1-SRC interaction. Manipulating SRC or HSP90AB1 reversed the effects of CDK1 and SRC on HCC. The CDK1-SRC-HSP90AB1 network also influenced HCC tumor formation and antitumor immunity. Overall, this study highlights the importance of the CDK1-SRC-HSP90AB1 network as a crucial immune-regulatory network in the HCC prognosis.
Collapse
Affiliation(s)
- Yi-Jie Zhang
- Department of Hepatobiliary and Organ Transplantation, The First Affiliated Hospital of China Medical University, Shenyang 110001, P. R. China
- The Key Laboratory of Organ Transplantation of Liaoning Province, The First Affiliated Hospital of China Medical University, Shenyang 110001, P. R. China
| | - De-Hui Yi
- Department of Hepatobiliary and Organ Transplantation, The First Affiliated Hospital of China Medical University, Shenyang 110001, P. R. China
- The Key Laboratory of Organ Transplantation of Liaoning Province, The First Affiliated Hospital of China Medical University, Shenyang 110001, P. R. China
| |
Collapse
|
5
|
Peter S, Woitke L, Dittrich P, Ibrahim B. Computing all persistent subspaces of a reaction-diffusion system. Sci Rep 2023; 13:17169. [PMID: 37821664 PMCID: PMC10567720 DOI: 10.1038/s41598-023-44244-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/05/2023] [Accepted: 10/05/2023] [Indexed: 10/13/2023] Open
Abstract
An algorithm is presented for computing a reaction-diffusion partial differential equation (PDE) system for all possible subspaces that can hold a persistent solution of the equation. For this, all possible sub-networks of the underlying reaction network that are distributed organizations (DOs) are identified. Recently it has been shown that a persistent subspace must be a DO. The algorithm computes the hierarchy of DOs starting from the largest by a linear programming approach using integer cuts. The underlying constraints use elementary reaction closures as minimal building blocks to guarantee local closedness and global self-maintenance, required for a DO. Additionally, the algorithm delivers for each subspace an affiliated set of organizational reactions and minimal compartmentalization that is necessary for this subspace to persist. It is proved that all sets of organizational reactions of a reaction network, as already DOs, form a lattice. This lattice contains all potentially persistent sets of reactions of all constrained solutions of reaction-diffusion PDEs. This provides a hierarchical structure of all persistent subspaces with regard to the species and also to the reactions of the reaction-diffusion PDE system. Here, the algorithm is described and the corresponding Python source code is provided. Furthermore, an analysis of its run time is performed and all models from the BioModels database as well as further examples are examined. Apart from the practical implications of the algorithm the results also give insights into the complexity of solving reaction-diffusion PDEs.
Collapse
Affiliation(s)
- Stephan Peter
- Department of Basic Sciences, Ernst-Abbe University of Applied Sciences Jena, Carl-Zeiss-Promenade 2, 07745, Jena, Germany
| | - Linus Woitke
- Department of Mathematics and Computer Science, Friedrich Schiller University Jena, Fürstengraben, 07743, Jena, Germany
| | - Peter Dittrich
- Department of Mathematics and Computer Science, Friedrich Schiller University Jena, Fürstengraben, 07743, Jena, Germany.
| | - Bashar Ibrahim
- Department of Mathematics and Computer Science, Friedrich Schiller University Jena, Fürstengraben, 07743, Jena, Germany.
- Department of Mathematics & Natural Sciences and Centre for Applied Mathematics & Bioinformatics, Gulf University for Science and Technology, 32093, Hawally, Kuwait.
- European Virus Bioinformatics Center, Leutragraben 1, 07743, Jena, Germany.
| |
Collapse
|
6
|
Goyal PA, Bankar NJ, Mishra VH, Borkar SK, Makade JG. Revolutionizing Medical Microbiology: How Molecular and Genomic Approaches Are Changing Diagnostic Techniques. Cureus 2023; 15:e47106. [PMID: 38022057 PMCID: PMC10646819 DOI: 10.7759/cureus.47106] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/21/2023] [Accepted: 10/16/2023] [Indexed: 12/01/2023] Open
Abstract
Molecular and genomic approaches have revolutionized medical microbiology by offering faster and more accurate diagnostic techniques for infectious diseases. Traditional methods, which include culturing microbes and biochemical testing, are time-consuming and may not detect antibiotic-resistant strains. In contrast, molecular and genomic methods, including polymerase chain reaction (PCR)-based techniques and whole-genome sequencing, provide rapid and precise detection of pathogens, early-stage diseases, and antibiotic-resistant strains. These approaches have advantages such as high sensitivity and specificity, the potential for targeted therapies, and personalized medicine. However, implementing molecular and genomic techniques faces challenges related to cost, equipment, expertise, and data analysis. Ethical and legal considerations regarding patient privacy and genetic data usage also arise. Nonetheless, the future of medical microbiology lies in the widespread adoption of molecular and genomic approaches, which can lead to improved patient outcomes and the identification of antibiotic-resistant strains. Continued advancements, education, and exploration of ethical implications are necessary to fully harness the potential of molecular and genomic techniques in medical microbiology.
Collapse
Affiliation(s)
- Poyasha A Goyal
- Microbiology, Datta Meghe Medical College, Datta Meghe Institute of Higher Education and Research (DU), Wardha, IND
| | - Nandkishor J Bankar
- Microbiology, Jawaharlal Nehru Medical College, Datta Meghe Institute of Higher Education and Research (DU), Wardha, IND
| | - Vaishnavi H Mishra
- Microbiology, Jawaharlal Nehru Medical College, Datta Meghe Institute of Higher Education and Research (DU), Wardha, IND
| | - Sonali K Borkar
- Community Medicine, Datta Meghe Medical College, Datta Meghe Institute of Higher Education and Research (DU), Wardha, IND
| | - Jagadish G Makade
- Community Medicine, Datta Meghe Medical College, Datta Meghe Institute of Medical Sciences(DU), Wardha, IND
| |
Collapse
|
7
|
Hufsky F, Abecasis AB, Babaian A, Beck S, Brierley L, Dellicour S, Eggeling C, Elena SF, Gieraths U, Ha AD, Harvey W, Jones TC, Lamkiewicz K, Lovate GL, Lücking D, Machyna M, Nishimura L, Nocke MK, Renard BY, Sakaguchi S, Sakellaridi L, Spangenberg J, Tarradas-Alemany M, Triebel S, Vakulenko Y, Wijesekara RY, González-Candelas F, Krautwurst S, Pérez-Cataluña A, Randazzo W, Sánchez G, Marz M. The International Virus Bioinformatics Meeting 2023. Viruses 2023; 15:2031. [PMID: 37896809 PMCID: PMC10612056 DOI: 10.3390/v15102031] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/10/2023] [Revised: 09/08/2023] [Accepted: 09/14/2023] [Indexed: 10/29/2023] Open
Abstract
The 2023 International Virus Bioinformatics Meeting was held in Valencia, Spain, from 24-26 May 2023, attracting approximately 180 participants worldwide. The primary objective of the conference was to establish a dynamic scientific environment conducive to discussion, collaboration, and the generation of novel research ideas. As the first in-person event following the SARS-CoV-2 pandemic, the meeting facilitated highly interactive exchanges among attendees. It served as a pivotal gathering for gaining insights into the current status of virus bioinformatics research and engaging with leading researchers and emerging scientists. The event comprised eight invited talks, 19 contributed talks, and 74 poster presentations across eleven sessions spanning three days. Topics covered included machine learning, bacteriophages, virus discovery, virus classification, virus visualization, viral infection, viromics, molecular epidemiology, phylodynamic analysis, RNA viruses, viral sequence analysis, viral surveillance, and metagenomics. This report provides rewritten abstracts of the presentations, a summary of the key research findings, and highlights shared during the meeting.
Collapse
Affiliation(s)
- Franziska Hufsky
- European Virus Bioinformatics Center, 07743 Jena, Germany (A.B.A.); (L.B.); (S.D.); (C.E.); (S.F.E.); (T.C.J.); (K.L.); (G.L.L.); (M.K.N.); (B.Y.R.); (F.G.-C.); (A.P.-C.); (W.R.); (G.S.)
- RNA Bioinformatics and High-Throughput Analysis, Friedrich Schiller University Jena, 07743 Jena, Germany;
| | - Ana B. Abecasis
- European Virus Bioinformatics Center, 07743 Jena, Germany (A.B.A.); (L.B.); (S.D.); (C.E.); (S.F.E.); (T.C.J.); (K.L.); (G.L.L.); (M.K.N.); (B.Y.R.); (F.G.-C.); (A.P.-C.); (W.R.); (G.S.)
- Global Health and Tropical Medicine, GHTM, Associate Laboratory in Translation and Innovation towards Global Health, LA-REAL, Instituto de Higiene e Medicina Tropical, IHMT, Universidade NOVA de Lisboa, UNL, Rua da Junqueira 100, 1349-008 Lisboa, Portugal
| | - Artem Babaian
- European Virus Bioinformatics Center, 07743 Jena, Germany (A.B.A.); (L.B.); (S.D.); (C.E.); (S.F.E.); (T.C.J.); (K.L.); (G.L.L.); (M.K.N.); (B.Y.R.); (F.G.-C.); (A.P.-C.); (W.R.); (G.S.)
- Department of Molecular Genetics, University of Toronto, Toronto, ON M5S 3E1, Canada
- Donnelly Centre, University of Toronto, Toronto, ON M5S 1A1, Canada
| | - Sebastian Beck
- Leibniz Institute of Virology, Department Viral Zoonoses—One Health, 20251 Hamburg, Germany;
| | - Liam Brierley
- European Virus Bioinformatics Center, 07743 Jena, Germany (A.B.A.); (L.B.); (S.D.); (C.E.); (S.F.E.); (T.C.J.); (K.L.); (G.L.L.); (M.K.N.); (B.Y.R.); (F.G.-C.); (A.P.-C.); (W.R.); (G.S.)
- Department of Health Data Science, University of Liverpool, Liverpool L69 3GF, UK
| | - Simon Dellicour
- European Virus Bioinformatics Center, 07743 Jena, Germany (A.B.A.); (L.B.); (S.D.); (C.E.); (S.F.E.); (T.C.J.); (K.L.); (G.L.L.); (M.K.N.); (B.Y.R.); (F.G.-C.); (A.P.-C.); (W.R.); (G.S.)
- Spatial Epidemiology Lab (SpELL), Université Libre de Bruxelles, CP160/12, 50 av. FD Roosevelt, 1050 Bruxelles, Belgium
- Laboratory for Clinical and Epidemiological Virology, Department of Microbiology, Immunology and Transplantation, Rega Institute, KU Leuven, University of Leuven, 3000 Leuven, Belgium
| | - Christian Eggeling
- European Virus Bioinformatics Center, 07743 Jena, Germany (A.B.A.); (L.B.); (S.D.); (C.E.); (S.F.E.); (T.C.J.); (K.L.); (G.L.L.); (M.K.N.); (B.Y.R.); (F.G.-C.); (A.P.-C.); (W.R.); (G.S.)
- Institute of Applied Optics and Biophysics, Friedrich Schiller University Jena, Max-Wien-Platz 1, 07743 Jena, Germany
| | - Santiago F. Elena
- European Virus Bioinformatics Center, 07743 Jena, Germany (A.B.A.); (L.B.); (S.D.); (C.E.); (S.F.E.); (T.C.J.); (K.L.); (G.L.L.); (M.K.N.); (B.Y.R.); (F.G.-C.); (A.P.-C.); (W.R.); (G.S.)
- Institute for Integrative Systems Biology (I2SysBio), CSIC-Universitat de Valencia, Catedratico Agustin Escardino 9, 46980 Valencia, Spain
| | - Udo Gieraths
- Institute of Virology, Charité, Universitätsmedizin Berlin, Charitéplatz 1, 10117 Berlin, Germany
| | - Anh D. Ha
- Department of Biological Sciences, Virginia Tech, Blacksburg, VA 24061, USA
| | - Will Harvey
- The Roslin Institute, University of Edinburgh, Edinburgh EH25 9RG, UK
| | - Terry C. Jones
- European Virus Bioinformatics Center, 07743 Jena, Germany (A.B.A.); (L.B.); (S.D.); (C.E.); (S.F.E.); (T.C.J.); (K.L.); (G.L.L.); (M.K.N.); (B.Y.R.); (F.G.-C.); (A.P.-C.); (W.R.); (G.S.)
- Institute of Virology, Charité, Universitätsmedizin Berlin, Charitéplatz 1, 10117 Berlin, Germany
- Department of Zoology, University of Cambridge, Downing Street, Cambridge CB2 3EJ, UK
| | - Kevin Lamkiewicz
- European Virus Bioinformatics Center, 07743 Jena, Germany (A.B.A.); (L.B.); (S.D.); (C.E.); (S.F.E.); (T.C.J.); (K.L.); (G.L.L.); (M.K.N.); (B.Y.R.); (F.G.-C.); (A.P.-C.); (W.R.); (G.S.)
- RNA Bioinformatics and High-Throughput Analysis, Friedrich Schiller University Jena, 07743 Jena, Germany;
| | - Gabriel L. Lovate
- European Virus Bioinformatics Center, 07743 Jena, Germany (A.B.A.); (L.B.); (S.D.); (C.E.); (S.F.E.); (T.C.J.); (K.L.); (G.L.L.); (M.K.N.); (B.Y.R.); (F.G.-C.); (A.P.-C.); (W.R.); (G.S.)
- RNA Bioinformatics and High-Throughput Analysis, Friedrich Schiller University Jena, 07743 Jena, Germany;
| | - Dominik Lücking
- Max-Planck Institute for Marine Microbiology, Celsiusstraße 1, 28359 Bremen, Germany
| | - Martin Machyna
- Paul-Ehrlich-Institut, Host-Pathogen-Interactions, 63225 Langen, Germany
| | - Luca Nishimura
- European Virus Bioinformatics Center, 07743 Jena, Germany (A.B.A.); (L.B.); (S.D.); (C.E.); (S.F.E.); (T.C.J.); (K.L.); (G.L.L.); (M.K.N.); (B.Y.R.); (F.G.-C.); (A.P.-C.); (W.R.); (G.S.)
- Department of Genetics, School of Life Science, The Graduate University for Advanced Studies (SOKENDAI), Mishima 411-8540, Japan
- Human Genetics Laboratory, National Institute of Genetics, Mishima 411-8540, Japan
| | - Maximilian K. Nocke
- European Virus Bioinformatics Center, 07743 Jena, Germany (A.B.A.); (L.B.); (S.D.); (C.E.); (S.F.E.); (T.C.J.); (K.L.); (G.L.L.); (M.K.N.); (B.Y.R.); (F.G.-C.); (A.P.-C.); (W.R.); (G.S.)
- Department for Molecular & Medical Virology, Ruhr University Bochum, 44801 Bochum, Germany
| | - Bernard Y. Renard
- European Virus Bioinformatics Center, 07743 Jena, Germany (A.B.A.); (L.B.); (S.D.); (C.E.); (S.F.E.); (T.C.J.); (K.L.); (G.L.L.); (M.K.N.); (B.Y.R.); (F.G.-C.); (A.P.-C.); (W.R.); (G.S.)
- Digital Engineering Faculty, Hasso Plattner Institute, University of Potsdam, 14482 Potsdam, Germany
| | - Shoichi Sakaguchi
- Department of Microbiology and Infection Control, Faculty of Medicine, Osaka Medical and Pharmaceutical University, Osaka 569-8686, Japan;
| | - Lygeri Sakellaridi
- Institute for Virology and Immunobiology, University of Würzburg, Versbacher Str. 7, 97078 Würzburg, Germany
| | - Jannes Spangenberg
- European Virus Bioinformatics Center, 07743 Jena, Germany (A.B.A.); (L.B.); (S.D.); (C.E.); (S.F.E.); (T.C.J.); (K.L.); (G.L.L.); (M.K.N.); (B.Y.R.); (F.G.-C.); (A.P.-C.); (W.R.); (G.S.)
- RNA Bioinformatics and High-Throughput Analysis, Friedrich Schiller University Jena, 07743 Jena, Germany;
| | - Maria Tarradas-Alemany
- Computational Genomics Lab., Department of Genetics, Microbiology and Statistics, Institut de Biomedicina UB (IBUB), Universitat de Barcelona (UB), 08028 Barcelona, Spain
| | - Sandra Triebel
- European Virus Bioinformatics Center, 07743 Jena, Germany (A.B.A.); (L.B.); (S.D.); (C.E.); (S.F.E.); (T.C.J.); (K.L.); (G.L.L.); (M.K.N.); (B.Y.R.); (F.G.-C.); (A.P.-C.); (W.R.); (G.S.)
- RNA Bioinformatics and High-Throughput Analysis, Friedrich Schiller University Jena, 07743 Jena, Germany;
| | - Yulia Vakulenko
- Martsinovsky Institute of Medical Parasitology, Tropical and Vector Borne Diseases, Sechenov First Moscow State Medical University, 119991 Moscow, Russia
| | - Rajitha Yasas Wijesekara
- Institute for Bioinformatics, University of Medicine Greifswald, Felix-Hausdorff-Str. 8, 17475 Greifswald, Germany
| | - Fernando González-Candelas
- European Virus Bioinformatics Center, 07743 Jena, Germany (A.B.A.); (L.B.); (S.D.); (C.E.); (S.F.E.); (T.C.J.); (K.L.); (G.L.L.); (M.K.N.); (B.Y.R.); (F.G.-C.); (A.P.-C.); (W.R.); (G.S.)
- Institute for Integrative Systems Biology (I2SysBio), CSIC-Universitat de Valencia, Catedratico Agustin Escardino 9, 46980 Valencia, Spain
- Joint Research Unit “Infection and Public Health” FISABIO, University of Valencia, 46010 Valencia, Spain
| | - Sarah Krautwurst
- RNA Bioinformatics and High-Throughput Analysis, Friedrich Schiller University Jena, 07743 Jena, Germany;
| | - Alba Pérez-Cataluña
- European Virus Bioinformatics Center, 07743 Jena, Germany (A.B.A.); (L.B.); (S.D.); (C.E.); (S.F.E.); (T.C.J.); (K.L.); (G.L.L.); (M.K.N.); (B.Y.R.); (F.G.-C.); (A.P.-C.); (W.R.); (G.S.)
- VISAFELab, Department of Preservation and Food Safety Technologies, Institute of Agrochemistry and Food Technology, IATA-CSIC, 46980 Valencia, Spain
| | - Walter Randazzo
- European Virus Bioinformatics Center, 07743 Jena, Germany (A.B.A.); (L.B.); (S.D.); (C.E.); (S.F.E.); (T.C.J.); (K.L.); (G.L.L.); (M.K.N.); (B.Y.R.); (F.G.-C.); (A.P.-C.); (W.R.); (G.S.)
- VISAFELab, Department of Preservation and Food Safety Technologies, Institute of Agrochemistry and Food Technology, IATA-CSIC, 46980 Valencia, Spain
| | - Gloria Sánchez
- European Virus Bioinformatics Center, 07743 Jena, Germany (A.B.A.); (L.B.); (S.D.); (C.E.); (S.F.E.); (T.C.J.); (K.L.); (G.L.L.); (M.K.N.); (B.Y.R.); (F.G.-C.); (A.P.-C.); (W.R.); (G.S.)
- VISAFELab, Department of Preservation and Food Safety Technologies, Institute of Agrochemistry and Food Technology, IATA-CSIC, 46980 Valencia, Spain
| | - Manja Marz
- European Virus Bioinformatics Center, 07743 Jena, Germany (A.B.A.); (L.B.); (S.D.); (C.E.); (S.F.E.); (T.C.J.); (K.L.); (G.L.L.); (M.K.N.); (B.Y.R.); (F.G.-C.); (A.P.-C.); (W.R.); (G.S.)
- RNA Bioinformatics and High-Throughput Analysis, Friedrich Schiller University Jena, 07743 Jena, Germany;
- German Center for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, 04103 Leipzig, Germany
- Michael Stifel Center Jena, Ernst-Abbe-Platz 2, 07743 Jena, Germany
- Cluster of Excellence Balance of the Microverse, Friedrich Schiller University Jena, 07745 Jena, Germany
- Leibniz Institute for Age Research—Fritz Lippman Institute, 07745 Jena, Germany
| |
Collapse
|
8
|
Ma BJ, Ye HB, Meng GQ, Zhao W, Ye Z, Ji JF. Identification of key genes in spontaneous cerebral hemorrhage and prevention of disease damage: LASSO and SVM regression. Prev Med 2023; 174:107633. [PMID: 37473923 DOI: 10.1016/j.ypmed.2023.107633] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/01/2023] [Revised: 06/25/2023] [Accepted: 07/17/2023] [Indexed: 07/22/2023]
Abstract
Prevention is more important than treatment, and the incidence of intracerebral hemorrhage can be effectively reduced by intervening on the risk factors of intracerebral hemorrhage. By studying the risk factors of spontaneous intracerebral hemorrhage, we can identify the risk factors to achieve the target of treatment and prevention. Through the use of the Least Absolute Shrinkage and Selection Operator (LASSO) and the Support Vector Machine (SVM), the two essential SICH-related genes, NUAK1 and ERO1L, were eliminated from consideration. A Venn analysis was performed, and based on the two important modules, it found that SICH was related with four critical genes: VCM1, CRNDE, COL6A2, and HSPB6. One gene (NUAK1) was dramatically downregulated in the illness group compared to the control group, whereas three essential genes (ERO1L, VCAM1, and COL6A2) were significantly upregulated in the disease group. In the end, the genes ERO1L, VCAM1, COL6A2, and NUAK1 were shown to be the most important ones for SICH. It is anticipated that these genes will become novel biomarkers as well as targets for the development of new pharmacotherapies for SICH.
Collapse
Affiliation(s)
- Bao-Jun Ma
- Department of Neurosurgery, The Second Affiliated Hospital of Nantong University, Nantong First People's Hospital, No. 6 Haier Lane North Road, Nantong 226001, China
| | - Han-Bin Ye
- Department of Neurosurgery, The Second Affiliated Hospital of Nantong University, Nantong First People's Hospital, No. 6 Haier Lane North Road, Nantong 226001, China
| | - Gao-Qiang Meng
- Department of Neurosurgery, The Second Affiliated Hospital of Nantong University, Nantong First People's Hospital, No. 6 Haier Lane North Road, Nantong 226001, China
| | - Wei Zhao
- Department of Neurosurgery, The Second Affiliated Hospital of Nantong University, Nantong First People's Hospital, No. 6 Haier Lane North Road, Nantong 226001, China
| | - Zi Ye
- Department of Neurosurgery, The Second Affiliated Hospital of Nantong University, Nantong First People's Hospital, No. 6 Haier Lane North Road, Nantong 226001, China.
| | - Jian-Feng Ji
- Department of Burn and Plastic, The Second Affiliated Hospital of Nantong University, Nantong First People's Hospital, No. 6 Haier Lane North Road, Nantong 226001, China.
| |
Collapse
|
9
|
Ritsch M, Cassman NA, Saghaei S, Marz M. Navigating the Landscape: A Comprehensive Review of Current Virus Databases. Viruses 2023; 15:1834. [PMID: 37766241 PMCID: PMC10537806 DOI: 10.3390/v15091834] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/04/2023] [Revised: 08/18/2023] [Accepted: 08/21/2023] [Indexed: 09/29/2023] Open
Abstract
Viruses are abundant and diverse entities that have important roles in public health, ecology, and agriculture. The identification and surveillance of viruses rely on an understanding of their genome organization, sequences, and replication strategy. Despite technological advancements in sequencing methods, our current understanding of virus diversity remains incomplete, highlighting the need to explore undiscovered viruses. Virus databases play a crucial role in providing access to sequences, annotations and other metadata, and analysis tools for studying viruses. However, there has not been a comprehensive review of virus databases in the last five years. This study aimed to fill this gap by identifying 24 active virus databases and included an extensive evaluation of their content, functionality and compliance with the FAIR principles. In this study, we thoroughly assessed the search capabilities of five database catalogs, which serve as comprehensive repositories housing a diverse array of databases and offering essential metadata. Moreover, we conducted a comprehensive review of different types of errors, encompassing taxonomy, names, missing information, sequences, sequence orientation, and chimeric sequences, with the intention of empowering users to effectively tackle these challenges. We expect this review to aid users in selecting suitable virus databases and other resources, and to help databases in error management and improve their adherence to the FAIR principles. The databases listed here represent the current knowledge of viruses and will help aid users find databases of interest based on content, functionality, and scope. The use of virus databases is integral to gaining new insights into the biology, evolution, and transmission of viruses, and developing new strategies to manage virus outbreaks and preserve global health.
Collapse
Affiliation(s)
- Muriel Ritsch
- RNA Bioinformatics and High-Throughput Analysis, Friedrich Schiller University Jena, 07743 Jena, Germany;
- European Virus Bioinformatics Center, 07743 Jena, Germany
| | - Noriko A. Cassman
- RNA Bioinformatics and High-Throughput Analysis, Friedrich Schiller University Jena, 07743 Jena, Germany;
- European Virus Bioinformatics Center, 07743 Jena, Germany
| | - Shahram Saghaei
- RNA Bioinformatics and High-Throughput Analysis, Friedrich Schiller University Jena, 07743 Jena, Germany;
- European Virus Bioinformatics Center, 07743 Jena, Germany
| | - Manja Marz
- RNA Bioinformatics and High-Throughput Analysis, Friedrich Schiller University Jena, 07743 Jena, Germany;
- European Virus Bioinformatics Center, 07743 Jena, Germany
- German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, 04103 Leipzig, Germany
- FLI Leibniz Institute for Age Research, 07745 Jena, Germany
| |
Collapse
|
10
|
Giron CC, Laaksonen A, Barroso da Silva FL. Differences between Omicron SARS-CoV-2 RBD and other variants in their ability to interact with cell receptors and monoclonal antibodies. J Biomol Struct Dyn 2023; 41:5707-5727. [PMID: 35815535 DOI: 10.1080/07391102.2022.2095305] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2022] [Accepted: 06/23/2022] [Indexed: 12/23/2022]
Abstract
SARS-CoV-2 remains a health threat with the continuous emergence of new variants. This work aims to expand the knowledge about the SARS-CoV-2 receptor-binding domain (RBD) interactions with cell receptors and monoclonal antibodies (mAbs). By using constant-pH Monte Carlo simulations, the free energy of interactions between the RBD from different variants and several partners (Angiotensin-Converting Enzyme-2 (ACE2) polymorphisms and various mAbs) were predicted. Computed RBD-ACE2-binding affinities were higher for two ACE2 polymorphisms (rs142984500 and rs4646116) typically found in Europeans which indicates a genetic susceptibility. This is amplified for Omicron (BA.1) and its sublineages BA.2 and BA.3. The antibody landscape was computationally investigated with the largest set of mAbs so far in the literature. From the 32 studied binders, groups of mAbs were identified from weak to strong binding affinities (e.g. S2K146). These mAbs with strong binding capacity and especially their combination are amenable to experimentation and clinical trials because of their high predicted binding affinities and possible neutralization potential for current known virus mutations and a universal coronavirus.Communicated by Ramaswamy H. Sarma.
Collapse
Affiliation(s)
- Carolina Corrêa Giron
- Departamento de Ciências Biomoleculares, Faculdade de Ciências Farmacêuticas de Ribeirão Preto, Universidade de São Paulo, Ribeirão Preto, SP, Brazil
- Universidade Federal do Triângulo Mineiro, Hospital de Clínicas, Uberaba, MG, Brazil
| | - Aatto Laaksonen
- Department of Materials and Environmental Chemistry, Arrhenius Laboratory, Stockholm University, Stockholm, Sweden
- State Key Laboratory of Materials-Oriented and Chemical Engineering, Nanjing Tech University, Nanjing, PR China
- Centre of Advanced Research in Bionanoconjugates and Biopolymers, Petru Poni Institute of Macromolecular Chemistry, Iasi, Romania
- Department of Engineering Sciences and Mathematics, Division of Energy Science, Luleå University of Technology, Luleå, Sweden
- Department of Chemical and Geological Sciences, University of Cagliari, Monserrato, Italy
| | - Fernando Luís Barroso da Silva
- Departamento de Ciências Biomoleculares, Faculdade de Ciências Farmacêuticas de Ribeirão Preto, Universidade de São Paulo, Ribeirão Preto, SP, Brazil
- Department of Chemical and Biomolecular Engineering, North Carolina State University, Raleigh, NC, USA
| |
Collapse
|
11
|
Chen H, Zhang L, Zuo M, Lou X, Liu B, Fu T. Inhibition of apoptosis through AKT-mTOR pathway in ovarian cancer and renal cancer. Aging (Albany NY) 2023; 15:1210-1227. [PMID: 36849137 PMCID: PMC10008491 DOI: 10.18632/aging.204564] [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: 11/23/2022] [Accepted: 02/11/2023] [Indexed: 03/01/2023]
Abstract
OBJECTIVE Ovarian cancer and renal cancer are malignant tumors; however, the relationship between TTK Protein Kinase (TTK), AKT-mTOR pathway and ovarian cancer, renal cancer remains unclear. METHODS Download GSE36668 and GSE69428 from Gene Expression Omnibus (GEO) database. Weighted gene co-expression network analysis (WGCNA) was performed. Created protein-protein interaction (PPI) network. Used Gene Ontology analysis (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) for functional enrichment analysis. Gene Set Enrichment Analysis (GSEA) analysis and survival analysis were performed. Created animal model for western blot analysis. Gene Expression Profiling Interactive Analysis (GEPIA) was performed to explore the role of TTK on the overall survival of renal cancer. RESULTS GO showed that DEGs were enriched in anion and small molecule binding, and DNA methylation. KEGG analysis presented that they mostly enriched in cholesterol metabolism, type 1 diabetes, sphingolipid metabolism, ABC transporters, etc., TTK, mTOR, p-mTOR, AKT, p-AKT, 4EBP1, p-4EBP1 and Bcl-2 are highly expressed in ovarian cancer, Bax, Caspase3 are lowly expressed in ovarian cancer, cell apoptosis is inhibited, leading to deterioration of ovarian cancer. Furthermore, the TTK was not only the hub biomarker of ovarian cancer, but also one significant hub gene of renal cancer, and its expression was up-regulated in the renal cancer. Compared with the renal cancer patients with low expression of TTK, the patients with high expression of TTK have the poor overall survival (P = 0.0021). CONCLUSION TTK inhibits apoptosis through AKT-mTOR pathway, worsening ovarian cancer. And TTK was also one significant hub biomarker of renal cancer.
Collapse
Affiliation(s)
- Hongrun Chen
- Department of Urology, China Aerospace Science and Industry Corporation 731 Hospital, Beijing 100074, China
| | - Lianfeng Zhang
- Department of Urology, China Aerospace Science and Industry Corporation 731 Hospital, Beijing 100074, China
| | - Meini Zuo
- Department of Urology, China Aerospace Science and Industry Corporation 731 Hospital, Beijing 100074, China
| | - Xiaowen Lou
- Department of Social Work, The First People's Hospital of Fuyang District of Hangzhou, Hangzhou 311400, Zhejiang, China
| | - Bin Liu
- Department of Urology, The Fourth Hospital of Hebei Medical University, Shijiazhuang 050011, Hebei, China
| | - Taozhu Fu
- Department of Urology, China Aerospace Science and Industry Corporation 731 Hospital, Beijing 100074, China
| |
Collapse
|
12
|
Zhang L, Liu B, Su J. CCNB2 as a potential biomarker of bladder cancer via the high throughput technology. Medicine (Baltimore) 2023; 102:e32825. [PMID: 36820589 PMCID: PMC9907924 DOI: 10.1097/md.0000000000032825] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/12/2023] Open
Abstract
Bladder cancer and oral squamous cell carcinoma (OSCC) seriously affect people's health. However, the relationship between bladder cancer and OSCC remains unclear. Got GSE138206, GSE146483, GSE184616, and bladder cancer datasets GSE65635, GSE100926 from Gene Expression Omnibus database. Weighted gene co-expression network analysis was used to identify the significant module. Functional enrichment analysis was performed via the Gene Ontology analysis and Kyoto Encyclopedia of Genes and Genomes. Furthermore, the Gene Set Enrichment Analysis was also used to complete the enrichment analysis. Comparative Toxicogenomics Database found most relevant diseases to core genes. TargetScan is used to forecast analysis of microRNA and target genes. In Gene Ontology analysis, differentially expressed genes were mostly concentrated in cell differentiation, extrallular region, structural molecule activity, and actin binding. In Kyoto Encyclopedia of Genes and Genomes analysis, the differentially expressed genes were mainly enriched in PI3K-Akt signaling pathway, pathway in cancer, and extracellular matrix-receptor interaction. Seven hub genes (cyclin B2 [CCNB2], TK1, CDC20, PCNA, CKS1B, CDCA5, MCM4) were obtained. Hub genes (CCNB2, CDC20) are highly expressed in OSCC and bladder cancer samples. CCNB2 was one common oncogene of bladder cancer and OSCC.
Collapse
Affiliation(s)
- Lei Zhang
- Department of Urology Surgery, Fuxing Hospital Affiliated to Capital Medical University, Xicheng District, Beijing, China
- * Correspondence: Lei Zhang, Department of Urology Surgery, Fuxing Hospital Affiliated to Capital Medical University, No. 20 Fuxingmenwai Dajie, Xicheng District, Beijing 100038, China (e-mail: )
| | - Bin Liu
- Department of Urology Surgery, The Fourth Hospital of Hebei Medical University, Hebei, PR China
| | - Jianzhi Su
- Department of Urology Surgery, The Fourth Hospital of Hebei Medical University, Hebei, PR China
| |
Collapse
|
13
|
Zuckerman NS, Shulman LM. Next-Generation Sequencing in the Study of Infectious Diseases. Infect Dis (Lond) 2023. [DOI: 10.1007/978-1-0716-2463-0_1090] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/10/2023] Open
|
14
|
Neamtu A, Mocci F, Laaksonen A, Barroso da Silva FL. Towards an optimal monoclonal antibody with higher binding affinity to the receptor-binding domain of SARS-CoV-2 spike proteins from different variants. Colloids Surf B Biointerfaces 2023; 221:112986. [PMID: 36375294 PMCID: PMC9617679 DOI: 10.1016/j.colsurfb.2022.112986] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2022] [Revised: 09/13/2022] [Accepted: 10/27/2022] [Indexed: 11/13/2022]
Abstract
A highly efficient and robust multiple scales in silico protocol, consisting of atomistic Molecular Dynamics (MD), coarse-grain (CG) MD, and constant-pH CG Monte Carlo (MC), has been developed and used to study the binding affinities of selected antigen-binding fragments of the monoclonal antibody (mAbs) CR3022 and several of its here optimized versions against 11 SARS-CoV-2 variants including the wild type. Totally 235,000 mAbs structures were initially generated using the RosettaAntibodyDesign software, resulting in top 10 scored CR3022-like-RBD complexes with critical mutations and compared to the native one, all having the potential to block virus-host cell interaction. Of these 10 finalists, two candidates were further identified in the CG simulations to be the best against all SARS-CoV-2 variants. Surprisingly, all 10 candidates and the native CR3022 exhibited a higher affinity for the Omicron variant despite its highest number of mutations. The multiscale protocol gives us a powerful rational tool to design efficient mAbs. The electrostatic interactions play a crucial role and appear to be controlling the affinity and complex building. Studied mAbs carrying a more negative total net charge show a higher affinity. Structural determinants could be identified in atomistic simulations and their roles are discussed in detail to further hint at a strategy for designing the best RBD binder. Although the SARS-CoV-2 was specifically targeted in this work, our approach is generally suitable for many diseases and viral and bacterial pathogens, leukemia, cancer, multiple sclerosis, rheumatoid, arthritis, lupus, and more.
Collapse
Affiliation(s)
- Andrei Neamtu
- Department of Physiology, "Grigore T. Popa" University of Medicine and Pharmacy of Iasi, Str. Universitatii nr. 16, 700051 Iasi, România; TRANSCEND Centre - Regional Institute of Oncology (IRO) Iasi, Str. General Henri Mathias Berthelot, Nr. 2-4 Iași, România
| | - Francesca Mocci
- University of Cagliari, Department of Chemical and Geological Sciences, Campus Monserrato, SS 554 bivio per Sestu, 09042 Monserrato, Italy
| | - Aatto Laaksonen
- Centre of Advanced Research in Bionanoconjugates and Biopolymers, PetruPoni Institute of Macromolecular Chemistry Aleea Grigore Ghica-Voda, 41 A, 700487 Iasi, Romania; University of Cagliari, Department of Chemical and Geological Sciences, Campus Monserrato, SS 554 bivio per Sestu, 09042 Monserrato, Italy; Department of Materials and Environmental Chemistry, Arrhenius Laboratory, Stockholm University, SE-106 91 Stockholm, Sweden; State Key Laboratory of Materials-Oriented and Chemical Engineering, Nanjing Tech University, Nanjing 210009, PR China; Department of Engineering Sciences and Mathematics, Division of Energy Science, Luleå University of Technology, SE-97187 Luleå, Sweden
| | - Fernando L Barroso da Silva
- Universidade de São Paulo, Departamento de Ciências Biomoleculares, Faculdade de Ciências Farmacêuticas de Ribeirão Preto, Av. café, s/no - campus da USP, BR-14040-903 Ribeirão Preto, SP, Brazil; Department of Chemical and Biomolecular Engineering, North Carolina State University, Raleigh, NC 27695, USA.
| |
Collapse
|
15
|
Chechetkin VR, Lobzin VV. Evolving ribonucleocapsid assembly/packaging signals in the genomes of the human and animal coronaviruses: targeting, transmission and evolution. J Biomol Struct Dyn 2022; 40:11239-11263. [PMID: 34338591 DOI: 10.1080/07391102.2021.1958061] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
Abstract
A world-wide COVID-19 pandemic intensified strongly the studies of molecular mechanisms related to the coronaviruses. The origin of coronaviruses and the risks of human-to-human, animal-to-human and human-to-animal transmission of coronaviral infections can be understood only on a broader evolutionary level by detailed comparative studies. In this paper, we studied ribonucleocapsid assembly-packaging signals (RNAPS) in the genomes of all seven known pathogenic human coronaviruses, SARS-CoV, SARS-CoV-2, MERS-CoV, HCoV-OC43, HCoV-HKU1, HCoV-229E and HCoV-NL63 and compared them with RNAPS in the genomes of the related animal coronaviruses including SARS-Bat-CoV, MERS-Camel-CoV, MHV, Bat-CoV MOP1, TGEV and one of camel alphacoronaviruses. RNAPS in the genomes of coronaviruses were evolved due to weakly specific interactions between genomic RNA and N proteins in helical nucleocapsids. Combining transitional genome mapping and Jaccard correlation coefficients allows us to perform the analysis directly in terms of underlying motifs distributed over the genome. In all coronaviruses, RNAPS were distributed quasi-periodically over the genome with the period about 54 nt biased to 57 nt and to 51 nt for the genomes longer and shorter than that of SARS-CoV, respectively. The comparison with the experimentally verified packaging signals for MERS-CoV, MHV and TGEV proved that the distribution of particular motifs is strongly correlated with the packaging signals. We also found that many motifs were highly conserved in both characters and positioning on the genomes throughout the lineages that make them promising therapeutic targets. The mechanisms of encapsidation can affect the recombination and co-infection as well.Communicated by Ramaswamy H. Sarma.
Collapse
Affiliation(s)
- Vladimir R Chechetkin
- Engelhardt Institute of Molecular Biology of Russian Academy of Sciences, Moscow, Russia
| | - Vasily V Lobzin
- School of Physics, University of Sydney, Sydney, NSW, Australia
| |
Collapse
|
16
|
Coexpression Network Analysis-Based Identification of Critical Genes Differentiating between Latent and Active Tuberculosis. DISEASE MARKERS 2022; 2022:2090560. [PMID: 36411825 PMCID: PMC9674975 DOI: 10.1155/2022/2090560] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/03/2022] [Accepted: 10/25/2022] [Indexed: 11/13/2022]
Abstract
Methods Three Gene Expression Omnibus (GEO) microarray datasets (GSE19491, GSE98461, and GSE152532) were downloaded, with GSE19491 and GSE98461 then being merged to form a training dataset. Hub genes capable of differentiating between ATB and LTBI were then identified through differential expression analyses and a WGCNA analysis of this training dataset. Receiver operating characteristic (ROC) curves were then used to gauge to the diagnostic accuracy of these hub genes in the test dataset (GSE152532). Gene expression-based immune cell infiltration and the relationship between such infiltration and hub gene expression were further assessed via a single-sample gene set enrichment analysis (ssGSEA). Results In total, 485 differentially expressed genes were analyzed, with the WGCNA approach yielding 8 coexpression models. Of these, the black module was the most closely correlated with ATB. In total, five hub genes (FBXO6, ATF3, GBP1, GBP4, and GBP5) were identified as potential biomarkers associated with LTBI progression to ATB based on a combination of differential expression and LASSO analyses. The area under the ROC curve values for these five genes ranged from 0.8 to 0.9 in the test dataset, and ssGSEA revealed the expression of these genes to be negatively correlated with lymphocyte activity but positively correlated with myeloid and inflammatory cell activity. Conclusion The five hub genes identified in this study may play a novel role in tuberculosis-related immunopathology and offer value as novel biomarkers differentiating LTBI from ATB.
Collapse
|
17
|
Chen L, Hua J, He X. Co-expression network analysis identifies potential candidate hub genes in severe influenza patients needing invasive mechanical ventilation. BMC Genomics 2022; 23:703. [PMID: 36243706 PMCID: PMC9569050 DOI: 10.1186/s12864-022-08915-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2022] [Accepted: 09/26/2022] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Influenza is a contagious disease that affects people of all ages and is linked to considerable mortality during epidemics and occasional outbreaks. Moreover, effective immunological biomarkers are needed for elucidating aetiology and preventing and treating severe influenza. Herein, we aimed to evaluate the key genes linked with the disease severity in influenza patients needing invasive mechanical ventilation (IMV). Three gene microarray data sets (GSE101702, GSE21802, and GSE111368) from blood samples of influenza patients were made available by the Gene Expression Omnibus (GEO) database. The GSE101702 and GSE21802 data sets were combined to create the training set. Hub indicators for IMV patients with severe influenza were determined using differential expression analysis and Weighted correlation network analysis (WGCNA) from the training set. The receiver operating characteristic curve (ROC) was also used to evaluate the hub genes from the test set's diagnostic accuracy. Different immune cells' infiltration levels in the expression profile and their correlation with hub gene markers were examined using single-sample gene set enrichment analysis (ssGSEA). RESULTS In the present study, we evaluated a total of 447 differential genes. WGCNA identified eight co-expression modules, with the red module having the strongest correlation with IMV patients. Differential genes were combined to obtain 3 hub genes (HLA-DPA1, HLA-DRB3, and CECR1). The identified genes were investigated as potential indicators for patients with severe influenza who required IMV using the least absolute shrinkage and selection operator (LASSO) approach. The ROC showed the diagnostic value of the three hub genes in determining the severity of influenza. Using ssGSEA, it has been revealed that the expression of key genes was negatively correlated with neutrophil activation and positively associated with adaptive cellular immune response. CONCLUSION We evaluated three novel hub genes that could be linked to the immunopathological mechanism of severe influenza patients who require IMV treatment and could be used as potential biomarkers for severe influenza prevention and treatment.
Collapse
Affiliation(s)
- Liang Chen
- Department of Infectious Diseases, Nanjing Lishui People's Hospital, Zhongda Hospital Lishui Branch, Southeast University, Nanjing, China
| | - Jie Hua
- Department of Gastroenterology, Liyang People's Hospital, Liyang Branch Hospital of Jiangsu Province Hospital, Nanjing, China
| | - Xiaopu He
- Department of Geriatric Gastroenterology, The First Affiliated Hospital With Nanjing Medical University, No.300 Guangzhou Road, Nanjing city, 210029, Jiangsu Province, China.
| |
Collapse
|
18
|
Huan S, Chen M, Sun S, Zhong Y, Chen Y, Ji Y, Yin G. Identification of a 5-lncRNA-Based Signature for Immune Characteristics and Prognosis of Lung Squamous Cell Carcinoma and Verification of the Function of lncRNA SPATA41. Front Genet 2022; 13:905353. [PMID: 36105081 PMCID: PMC9465393 DOI: 10.3389/fgene.2022.905353] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/27/2022] [Accepted: 06/15/2022] [Indexed: 11/13/2022] Open
Abstract
Lung squamous cell carcinoma (LUSC) is one of the most lethal cancers worldwide. Traditional tumor-node-metastasis (TNM) staging system has many insufficiencies in predicting immune characteristics, overall survival (OS), and prognosis of LUSC. LncRNA is currently found involved in tumor development and effectively predicts tumor prognosis. We screened potential tumor-related lncRNAs for immune characteristics and constructed a nomogram combining lncRNA and traditional clinical indicators for prognosis prediction. We obtained the large-scale gene expression profiles of samples from 492 LUSC patients in The Cancer Genome Atlas database. SPATA41, AL034550.2, AP003721.2, AC106786.1, and AC078889.1 were finally screened to construct a 5-lncRNA-based signature. The risk score of the signature divided patients into subgroups of high-risk and low-risk with significant differences in OS. Their area under the curve (AUC) reached more than 0.70 in 1, 3, and 5 years. In addition, compared with the high-risk subgroup, the low-risk subgroup exhibited a remarkably favorable prognosis and TME score, along with a higher immune infiltration score and lower TIDE score. The signature also significantly related to chemotherapy response, especially in cisplatin, vinorelbine, and paclitaxel. Importantly, the nomogram we constructed had good reliability with the assessment of the calibration chart and consistency index (c-index). GO and KEGG enrichment analysis indicated that co-expression mRNAs of the 5 lncRNAs were mainly focused on RNA splicing, DNA replication, and protein serine/threonine kinase activity. Functional assays demonstrated that SPATA41, one of the five OS-related lncRNAs, regulated invasion, migration, proliferation, and programmed death in vitro. In summary, our 5-lncRNA-based signature has a good performance in predicting immune characteristics and prognosis of LUSC patients.
Collapse
Affiliation(s)
- Sheng Huan
- Nanjing Hospital Affiliated to Nanjing University of Chinese Medicine, Nanjing, China
- Department of Anesthesiology, Nanjing Second Hospital, Nanjing, China
| | - Miao Chen
- Nanjing Hospital Affiliated to Nanjing University of Chinese Medicine, Nanjing, China
- Department of Surgery, Nanjing Second Hospital, Nanjing, China
| | - Sumin Sun
- Nanjing University of Chinese Medicine, Nanjing, China
| | - Yanling Zhong
- Department of Anesthesiology, Nanjing Second Hospital, Nanjing, China
| | - Yu Chen
- Nanjing Hospital Affiliated to Nanjing University of Chinese Medicine, Nanjing, China
- Nanjing Medical University, Nanjing, China
| | - Yihao Ji
- Nanjing Hospital Affiliated to Nanjing University of Chinese Medicine, Nanjing, China
- Department of Critical Medicine, Nanjing Second Hospital, Nanjing, China
| | - Guoping Yin
- Nanjing Hospital Affiliated to Nanjing University of Chinese Medicine, Nanjing, China
- Department of Anesthesiology, Nanjing Second Hospital, Nanjing, China
- *Correspondence: Guoping Yin,
| |
Collapse
|
19
|
Hufsky F, Abecasis A, Agudelo-Romero P, Bletsa M, Brown K, Claus C, Deinhardt-Emmer S, Deng L, Friedel CC, Gismondi MI, Kostaki EG, Kühnert D, Kulkarni-Kale U, Metzner KJ, Meyer IM, Miozzi L, Nishimura L, Paraskevopoulou S, Pérez-Cataluña A, Rahlff J, Thomson E, Tumescheit C, van der Hoek L, Van Espen L, Vandamme AM, Zaheri M, Zuckerman N, Marz M. Women in the European Virus Bioinformatics Center. Viruses 2022; 14:1522. [PMID: 35891501 PMCID: PMC9319252 DOI: 10.3390/v14071522] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2022] [Revised: 07/05/2022] [Accepted: 07/07/2022] [Indexed: 02/01/2023] Open
Abstract
Viruses are the cause of a considerable burden to human, animal and plant health, while on the other hand playing an important role in regulating entire ecosystems. The power of new sequencing technologies combined with new tools for processing "Big Data" offers unprecedented opportunities to answer fundamental questions in virology. Virologists have an urgent need for virus-specific bioinformatics tools. These developments have led to the formation of the European Virus Bioinformatics Center, a network of experts in virology and bioinformatics who are joining forces to enable extensive exchange and collaboration between these research areas. The EVBC strives to provide talented researchers with a supportive environment free of gender bias, but the gender gap in science, especially in math-intensive fields such as computer science, persists. To bring more talented women into research and keep them there, we need to highlight role models to spark their interest, and we need to ensure that female scientists are not kept at lower levels but are given the opportunity to lead the field. Here we showcase the work of the EVBC and highlight the achievements of some outstanding women experts in virology and viral bioinformatics.
Collapse
Affiliation(s)
- Franziska Hufsky
- European Virus Bioinformatics Center, 07743 Jena, Germany; (A.A.); (P.A.-R.); (M.B.); (K.B.); (C.C.); (S.D.-E.); (L.D.); (C.C.F.); (M.I.G.); (E.G.K.); (D.K.); (U.K.-K.); (K.J.M.); (I.M.M.); (L.M.); (L.N.); (S.P.); (A.P.-C.); (J.R.); (E.T.); (C.T.); (L.v.d.H.); (L.V.E.); (A.-M.V.); (M.Z.); (N.Z.)
- RNA Bioinformatics and High-Throughput Analysis, Friedrich Schiller University Jena, 07743 Jena, Germany
| | - Ana Abecasis
- European Virus Bioinformatics Center, 07743 Jena, Germany; (A.A.); (P.A.-R.); (M.B.); (K.B.); (C.C.); (S.D.-E.); (L.D.); (C.C.F.); (M.I.G.); (E.G.K.); (D.K.); (U.K.-K.); (K.J.M.); (I.M.M.); (L.M.); (L.N.); (S.P.); (A.P.-C.); (J.R.); (E.T.); (C.T.); (L.v.d.H.); (L.V.E.); (A.-M.V.); (M.Z.); (N.Z.)
- Global Health and Tropical Medicine, Institute of Hygiene and Tropical Medicine, New University of Lisbon, 1349-008 Lisbon, Portugal
| | - Patricia Agudelo-Romero
- European Virus Bioinformatics Center, 07743 Jena, Germany; (A.A.); (P.A.-R.); (M.B.); (K.B.); (C.C.); (S.D.-E.); (L.D.); (C.C.F.); (M.I.G.); (E.G.K.); (D.K.); (U.K.-K.); (K.J.M.); (I.M.M.); (L.M.); (L.N.); (S.P.); (A.P.-C.); (J.R.); (E.T.); (C.T.); (L.v.d.H.); (L.V.E.); (A.-M.V.); (M.Z.); (N.Z.)
- Wal-Yan Respiratory Research Centre, Telethon Kids Institute, University of Western Australia, Nedlands, WA 6009, Australia
| | - Magda Bletsa
- European Virus Bioinformatics Center, 07743 Jena, Germany; (A.A.); (P.A.-R.); (M.B.); (K.B.); (C.C.); (S.D.-E.); (L.D.); (C.C.F.); (M.I.G.); (E.G.K.); (D.K.); (U.K.-K.); (K.J.M.); (I.M.M.); (L.M.); (L.N.); (S.P.); (A.P.-C.); (J.R.); (E.T.); (C.T.); (L.v.d.H.); (L.V.E.); (A.-M.V.); (M.Z.); (N.Z.)
- Department of Hygiene, Epidemiology and Medical Statistics, Medical School, National and Kapodistrian University of Athens, 115 27 Athens, Greece
- Department of Microbiology, Immunology and Transplantation, Rega Institute, Katholieke Universiteit Leuven, B-3000 Leuven, Belgium
| | - Katherine Brown
- European Virus Bioinformatics Center, 07743 Jena, Germany; (A.A.); (P.A.-R.); (M.B.); (K.B.); (C.C.); (S.D.-E.); (L.D.); (C.C.F.); (M.I.G.); (E.G.K.); (D.K.); (U.K.-K.); (K.J.M.); (I.M.M.); (L.M.); (L.N.); (S.P.); (A.P.-C.); (J.R.); (E.T.); (C.T.); (L.v.d.H.); (L.V.E.); (A.-M.V.); (M.Z.); (N.Z.)
- Division of Virology, Department of Pathology, University of Cambridge, Cambridge CB2 1TN, UK
| | - Claudia Claus
- European Virus Bioinformatics Center, 07743 Jena, Germany; (A.A.); (P.A.-R.); (M.B.); (K.B.); (C.C.); (S.D.-E.); (L.D.); (C.C.F.); (M.I.G.); (E.G.K.); (D.K.); (U.K.-K.); (K.J.M.); (I.M.M.); (L.M.); (L.N.); (S.P.); (A.P.-C.); (J.R.); (E.T.); (C.T.); (L.v.d.H.); (L.V.E.); (A.-M.V.); (M.Z.); (N.Z.)
- Institute of Medical Microbiology and Virology, Medical Faculty, Leipzig University, 04103 Leipzig, Germany
| | - Stefanie Deinhardt-Emmer
- European Virus Bioinformatics Center, 07743 Jena, Germany; (A.A.); (P.A.-R.); (M.B.); (K.B.); (C.C.); (S.D.-E.); (L.D.); (C.C.F.); (M.I.G.); (E.G.K.); (D.K.); (U.K.-K.); (K.J.M.); (I.M.M.); (L.M.); (L.N.); (S.P.); (A.P.-C.); (J.R.); (E.T.); (C.T.); (L.v.d.H.); (L.V.E.); (A.-M.V.); (M.Z.); (N.Z.)
- Institute of Medical Microbiology, Jena University Hospital, 07747 Jena, Germany
| | - Li Deng
- European Virus Bioinformatics Center, 07743 Jena, Germany; (A.A.); (P.A.-R.); (M.B.); (K.B.); (C.C.); (S.D.-E.); (L.D.); (C.C.F.); (M.I.G.); (E.G.K.); (D.K.); (U.K.-K.); (K.J.M.); (I.M.M.); (L.M.); (L.N.); (S.P.); (A.P.-C.); (J.R.); (E.T.); (C.T.); (L.v.d.H.); (L.V.E.); (A.-M.V.); (M.Z.); (N.Z.)
- Institute of Virology, Helmholtz Centre Munich-German Research Center for Environmental Health, 85764 Neuherberg, Germany
- Microbial Disease Prevention, School of Life Sciences, Technical University of Munich, 85354 Freising, Germany
| | - Caroline C. Friedel
- European Virus Bioinformatics Center, 07743 Jena, Germany; (A.A.); (P.A.-R.); (M.B.); (K.B.); (C.C.); (S.D.-E.); (L.D.); (C.C.F.); (M.I.G.); (E.G.K.); (D.K.); (U.K.-K.); (K.J.M.); (I.M.M.); (L.M.); (L.N.); (S.P.); (A.P.-C.); (J.R.); (E.T.); (C.T.); (L.v.d.H.); (L.V.E.); (A.-M.V.); (M.Z.); (N.Z.)
- Institute of Informatics, Ludwig-Maximilians-Universität München, 80333 Munich, Germany
| | - María Inés Gismondi
- European Virus Bioinformatics Center, 07743 Jena, Germany; (A.A.); (P.A.-R.); (M.B.); (K.B.); (C.C.); (S.D.-E.); (L.D.); (C.C.F.); (M.I.G.); (E.G.K.); (D.K.); (U.K.-K.); (K.J.M.); (I.M.M.); (L.M.); (L.N.); (S.P.); (A.P.-C.); (J.R.); (E.T.); (C.T.); (L.v.d.H.); (L.V.E.); (A.-M.V.); (M.Z.); (N.Z.)
- Institute of Agrobiotechnology and Molecular Biology (IABIMO), National Institute for Agriculture Technology (INTA), National Research Council (CONICET), Hurlingham B1686IGC, Argentina
- Department of Basic Sciences, National University of Luján, Luján B6702MZP, Argentina
| | - Evangelia Georgia Kostaki
- European Virus Bioinformatics Center, 07743 Jena, Germany; (A.A.); (P.A.-R.); (M.B.); (K.B.); (C.C.); (S.D.-E.); (L.D.); (C.C.F.); (M.I.G.); (E.G.K.); (D.K.); (U.K.-K.); (K.J.M.); (I.M.M.); (L.M.); (L.N.); (S.P.); (A.P.-C.); (J.R.); (E.T.); (C.T.); (L.v.d.H.); (L.V.E.); (A.-M.V.); (M.Z.); (N.Z.)
- Department of Hygiene, Epidemiology and Medical Statistics, Medical School, National and Kapodistrian University of Athens, 115 27 Athens, Greece
| | - Denise Kühnert
- European Virus Bioinformatics Center, 07743 Jena, Germany; (A.A.); (P.A.-R.); (M.B.); (K.B.); (C.C.); (S.D.-E.); (L.D.); (C.C.F.); (M.I.G.); (E.G.K.); (D.K.); (U.K.-K.); (K.J.M.); (I.M.M.); (L.M.); (L.N.); (S.P.); (A.P.-C.); (J.R.); (E.T.); (C.T.); (L.v.d.H.); (L.V.E.); (A.-M.V.); (M.Z.); (N.Z.)
- Transmission, Infection, Diversification and Evolution Group, Max Planck Institute for the Science of Human History, 07745 Jena, Germany
| | - Urmila Kulkarni-Kale
- European Virus Bioinformatics Center, 07743 Jena, Germany; (A.A.); (P.A.-R.); (M.B.); (K.B.); (C.C.); (S.D.-E.); (L.D.); (C.C.F.); (M.I.G.); (E.G.K.); (D.K.); (U.K.-K.); (K.J.M.); (I.M.M.); (L.M.); (L.N.); (S.P.); (A.P.-C.); (J.R.); (E.T.); (C.T.); (L.v.d.H.); (L.V.E.); (A.-M.V.); (M.Z.); (N.Z.)
- Bioinformatics Centre, Savitribai Phule Pune University, Pune 411007, India
| | - Karin J. Metzner
- European Virus Bioinformatics Center, 07743 Jena, Germany; (A.A.); (P.A.-R.); (M.B.); (K.B.); (C.C.); (S.D.-E.); (L.D.); (C.C.F.); (M.I.G.); (E.G.K.); (D.K.); (U.K.-K.); (K.J.M.); (I.M.M.); (L.M.); (L.N.); (S.P.); (A.P.-C.); (J.R.); (E.T.); (C.T.); (L.v.d.H.); (L.V.E.); (A.-M.V.); (M.Z.); (N.Z.)
- Department of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, 8091 Zurich, Switzerland
- Institute of Medical Virology, University of Zurich, 8057 Zurich, Switzerland
| | - Irmtraud M. Meyer
- European Virus Bioinformatics Center, 07743 Jena, Germany; (A.A.); (P.A.-R.); (M.B.); (K.B.); (C.C.); (S.D.-E.); (L.D.); (C.C.F.); (M.I.G.); (E.G.K.); (D.K.); (U.K.-K.); (K.J.M.); (I.M.M.); (L.M.); (L.N.); (S.P.); (A.P.-C.); (J.R.); (E.T.); (C.T.); (L.v.d.H.); (L.V.E.); (A.-M.V.); (M.Z.); (N.Z.)
- Berlin Institute for Medical Systems Biology, Max Delbrück Center for Molecular Medicine in the Helmholtz Association, 10115 Berlin, Germany
- Institute of Chemistry and Biochemistry, Department of Biology, Chemistry and Pharmacy, Freie Universität Berlin, 14195 Berlin, Germany
- Faculty of Mathematics and Computer Science, Freie Universität Berlin, 14195 Berlin, Germany
| | - Laura Miozzi
- European Virus Bioinformatics Center, 07743 Jena, Germany; (A.A.); (P.A.-R.); (M.B.); (K.B.); (C.C.); (S.D.-E.); (L.D.); (C.C.F.); (M.I.G.); (E.G.K.); (D.K.); (U.K.-K.); (K.J.M.); (I.M.M.); (L.M.); (L.N.); (S.P.); (A.P.-C.); (J.R.); (E.T.); (C.T.); (L.v.d.H.); (L.V.E.); (A.-M.V.); (M.Z.); (N.Z.)
- Institute for Sustainable Plant Protection, National Research Council of Italy, 10135 Torino, Italy
| | - Luca Nishimura
- European Virus Bioinformatics Center, 07743 Jena, Germany; (A.A.); (P.A.-R.); (M.B.); (K.B.); (C.C.); (S.D.-E.); (L.D.); (C.C.F.); (M.I.G.); (E.G.K.); (D.K.); (U.K.-K.); (K.J.M.); (I.M.M.); (L.M.); (L.N.); (S.P.); (A.P.-C.); (J.R.); (E.T.); (C.T.); (L.v.d.H.); (L.V.E.); (A.-M.V.); (M.Z.); (N.Z.)
- Department of Genetics, School of Life Science, The Graduate University for Advanced Studies (SOKENDAI), Mishima 411-8540, Japan
- Human Genetics Laboratory, National Institute of Genetics, Mishima 411-8540, Japan
| | - Sofia Paraskevopoulou
- European Virus Bioinformatics Center, 07743 Jena, Germany; (A.A.); (P.A.-R.); (M.B.); (K.B.); (C.C.); (S.D.-E.); (L.D.); (C.C.F.); (M.I.G.); (E.G.K.); (D.K.); (U.K.-K.); (K.J.M.); (I.M.M.); (L.M.); (L.N.); (S.P.); (A.P.-C.); (J.R.); (E.T.); (C.T.); (L.v.d.H.); (L.V.E.); (A.-M.V.); (M.Z.); (N.Z.)
- Methods Development and Research Infrastructure, Bioinformatics and Systems Biology, Robert Koch Institute, 13353 Berlin, Germany
| | - Alba Pérez-Cataluña
- European Virus Bioinformatics Center, 07743 Jena, Germany; (A.A.); (P.A.-R.); (M.B.); (K.B.); (C.C.); (S.D.-E.); (L.D.); (C.C.F.); (M.I.G.); (E.G.K.); (D.K.); (U.K.-K.); (K.J.M.); (I.M.M.); (L.M.); (L.N.); (S.P.); (A.P.-C.); (J.R.); (E.T.); (C.T.); (L.v.d.H.); (L.V.E.); (A.-M.V.); (M.Z.); (N.Z.)
- VISAFELab, Department of Preservation and Food Safety Technologies, Institute of Agrochemistry and Food Technology, IATA-CSIC, 46980 Valencia, Spain
| | - Janina Rahlff
- European Virus Bioinformatics Center, 07743 Jena, Germany; (A.A.); (P.A.-R.); (M.B.); (K.B.); (C.C.); (S.D.-E.); (L.D.); (C.C.F.); (M.I.G.); (E.G.K.); (D.K.); (U.K.-K.); (K.J.M.); (I.M.M.); (L.M.); (L.N.); (S.P.); (A.P.-C.); (J.R.); (E.T.); (C.T.); (L.v.d.H.); (L.V.E.); (A.-M.V.); (M.Z.); (N.Z.)
- Centre for Ecology and Evolution in Microbial Model Systems (EEMiS), Department of Biology and Environmental Science, Linneaus University, 391 82 Kalmar, Sweden
| | - Emma Thomson
- European Virus Bioinformatics Center, 07743 Jena, Germany; (A.A.); (P.A.-R.); (M.B.); (K.B.); (C.C.); (S.D.-E.); (L.D.); (C.C.F.); (M.I.G.); (E.G.K.); (D.K.); (U.K.-K.); (K.J.M.); (I.M.M.); (L.M.); (L.N.); (S.P.); (A.P.-C.); (J.R.); (E.T.); (C.T.); (L.v.d.H.); (L.V.E.); (A.-M.V.); (M.Z.); (N.Z.)
- Queen Elizabeth University Hospital, NHS Greater Glasgow and Clyde, Glasgow G51 4TF, UK
- MRC-University of Glasgow Centre for Virus Research, Glasgow G61 1QH, UK
| | - Charlotte Tumescheit
- European Virus Bioinformatics Center, 07743 Jena, Germany; (A.A.); (P.A.-R.); (M.B.); (K.B.); (C.C.); (S.D.-E.); (L.D.); (C.C.F.); (M.I.G.); (E.G.K.); (D.K.); (U.K.-K.); (K.J.M.); (I.M.M.); (L.M.); (L.N.); (S.P.); (A.P.-C.); (J.R.); (E.T.); (C.T.); (L.v.d.H.); (L.V.E.); (A.-M.V.); (M.Z.); (N.Z.)
- School of Biological Sciences, Seoul National University, Seoul 08826, Korea
| | - Lia van der Hoek
- European Virus Bioinformatics Center, 07743 Jena, Germany; (A.A.); (P.A.-R.); (M.B.); (K.B.); (C.C.); (S.D.-E.); (L.D.); (C.C.F.); (M.I.G.); (E.G.K.); (D.K.); (U.K.-K.); (K.J.M.); (I.M.M.); (L.M.); (L.N.); (S.P.); (A.P.-C.); (J.R.); (E.T.); (C.T.); (L.v.d.H.); (L.V.E.); (A.-M.V.); (M.Z.); (N.Z.)
- Laboratory of Experimental Virology, Department of Medical Microbiology and Infection Prevention, Amsterdam UMC, University of Amsterdam, 1012 WX Amsterdam, The Netherlands
- Amsterdam Institute for Infection and Immunity, 1100 DD Amsterdam, The Netherlands
| | - Lore Van Espen
- European Virus Bioinformatics Center, 07743 Jena, Germany; (A.A.); (P.A.-R.); (M.B.); (K.B.); (C.C.); (S.D.-E.); (L.D.); (C.C.F.); (M.I.G.); (E.G.K.); (D.K.); (U.K.-K.); (K.J.M.); (I.M.M.); (L.M.); (L.N.); (S.P.); (A.P.-C.); (J.R.); (E.T.); (C.T.); (L.v.d.H.); (L.V.E.); (A.-M.V.); (M.Z.); (N.Z.)
- Department of Microbiology, Immunology and Transplantation, Rega Institute, Katholieke Universiteit Leuven, B-3000 Leuven, Belgium
| | - Anne-Mieke Vandamme
- European Virus Bioinformatics Center, 07743 Jena, Germany; (A.A.); (P.A.-R.); (M.B.); (K.B.); (C.C.); (S.D.-E.); (L.D.); (C.C.F.); (M.I.G.); (E.G.K.); (D.K.); (U.K.-K.); (K.J.M.); (I.M.M.); (L.M.); (L.N.); (S.P.); (A.P.-C.); (J.R.); (E.T.); (C.T.); (L.v.d.H.); (L.V.E.); (A.-M.V.); (M.Z.); (N.Z.)
- Department of Microbiology, Immunology and Transplantation, Rega Institute, Katholieke Universiteit Leuven, B-3000 Leuven, Belgium
- Global Health and Tropical Medicine, Instituto de Higiene e Medicina Tropical, Universidade Nova de Lisboa, 1349-008 Lisbon, Portugal
- Institute for the Future, Katholieke Universiteit Leuven, B-3000 Leuven, Belgium
| | - Maryam Zaheri
- European Virus Bioinformatics Center, 07743 Jena, Germany; (A.A.); (P.A.-R.); (M.B.); (K.B.); (C.C.); (S.D.-E.); (L.D.); (C.C.F.); (M.I.G.); (E.G.K.); (D.K.); (U.K.-K.); (K.J.M.); (I.M.M.); (L.M.); (L.N.); (S.P.); (A.P.-C.); (J.R.); (E.T.); (C.T.); (L.v.d.H.); (L.V.E.); (A.-M.V.); (M.Z.); (N.Z.)
- Institute of Medical Virology, University of Zurich, 8057 Zurich, Switzerland
| | - Neta Zuckerman
- European Virus Bioinformatics Center, 07743 Jena, Germany; (A.A.); (P.A.-R.); (M.B.); (K.B.); (C.C.); (S.D.-E.); (L.D.); (C.C.F.); (M.I.G.); (E.G.K.); (D.K.); (U.K.-K.); (K.J.M.); (I.M.M.); (L.M.); (L.N.); (S.P.); (A.P.-C.); (J.R.); (E.T.); (C.T.); (L.v.d.H.); (L.V.E.); (A.-M.V.); (M.Z.); (N.Z.)
- Central Virology Laboratory, Public Health Services, Ministry of Health and Sheba Medical Center, Ramat Gan 52621, Israel
| | - Manja Marz
- European Virus Bioinformatics Center, 07743 Jena, Germany; (A.A.); (P.A.-R.); (M.B.); (K.B.); (C.C.); (S.D.-E.); (L.D.); (C.C.F.); (M.I.G.); (E.G.K.); (D.K.); (U.K.-K.); (K.J.M.); (I.M.M.); (L.M.); (L.N.); (S.P.); (A.P.-C.); (J.R.); (E.T.); (C.T.); (L.v.d.H.); (L.V.E.); (A.-M.V.); (M.Z.); (N.Z.)
- RNA Bioinformatics and High-Throughput Analysis, Friedrich Schiller University Jena, 07743 Jena, Germany
| |
Collapse
|
20
|
Hufsky F, Beslic D, Boeckaerts D, Duchene S, González-Tortuero E, Gruber AJ, Guo J, Jansen D, Juma J, Kongkitimanon K, Luque A, Ritsch M, Lencioni Lovate G, Nishimura L, Pas C, Domingo E, Hodcroft E, Lemey P, Sullivan MB, Weber F, González-Candelas F, Krautwurst S, Pérez-Cataluña A, Randazzo W, Sánchez G, Marz M. The International Virus Bioinformatics Meeting 2022. Viruses 2022; 14:973. [PMID: 35632715 PMCID: PMC9144528 DOI: 10.3390/v14050973] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2022] [Accepted: 04/28/2022] [Indexed: 12/22/2022] Open
Abstract
The International Virus Bioinformatics Meeting 2022 took place online, on 23-25 March 2022, and has attracted about 380 participants from all over the world. The goal of the meeting was to provide a meaningful and interactive scientific environment to promote discussion and collaboration and to inspire and suggest new research directions and questions. The participants created a highly interactive scientific environment even without physical face-to-face interactions. This meeting is a focal point to gain an insight into the state-of-the-art of the virus bioinformatics research landscape and to interact with researchers in the forefront as well as aspiring young scientists. The meeting featured eight invited and 18 contributed talks in eight sessions on three days, as well as 52 posters, which were presented during three virtual poster sessions. The main topics were: SARS-CoV-2, viral emergence and surveillance, virus-host interactions, viral sequence analysis, virus identification and annotation, phages, and viral diversity. This report summarizes the main research findings and highlights presented at the meeting.
Collapse
Affiliation(s)
- Franziska Hufsky
- European Virus Bioinformatics Center, 07743 Jena, Germany; (E.G.-T.); (A.J.G.); (J.G.); (D.J.); (K.K.); (A.L.); (M.R.); (G.L.L.); (L.N.); (E.D.); (E.H.); (P.L.); (M.B.S.); (F.W.); (F.G.-C.); (A.P.-C.); (W.R.); (G.S.)
- RNA Bioinformatics and High-Throughput Analysis, Friedrich Schiller University Jena, 07743 Jena, Germany;
| | - Denis Beslic
- Methodology and Research Infrastructure, MF1 Bioinformatics, Robert Koch Institute, 13353 Berlin, Germany;
| | - Dimitri Boeckaerts
- Laboratory of Applied Biotechnology, Department of Biotechnology, Ghent University, 9000 Ghent, Belgium; (D.B.); (C.P.)
- KERMIT, Department of Data Analysis and Mathematical Modelling, Ghent University, 9000 Ghent, Belgium
| | - Sebastian Duchene
- Peter Doherty Institute for Infection and Immunity, University of Melbourne, Melbourne 3000, Australia;
| | - Enrique González-Tortuero
- European Virus Bioinformatics Center, 07743 Jena, Germany; (E.G.-T.); (A.J.G.); (J.G.); (D.J.); (K.K.); (A.L.); (M.R.); (G.L.L.); (L.N.); (E.D.); (E.H.); (P.L.); (M.B.S.); (F.W.); (F.G.-C.); (A.P.-C.); (W.R.); (G.S.)
- School of Science, Engineering and Environment (SEE), University of Salford, Salford M5 4WT, UK
| | - Andreas J. Gruber
- European Virus Bioinformatics Center, 07743 Jena, Germany; (E.G.-T.); (A.J.G.); (J.G.); (D.J.); (K.K.); (A.L.); (M.R.); (G.L.L.); (L.N.); (E.D.); (E.H.); (P.L.); (M.B.S.); (F.W.); (F.G.-C.); (A.P.-C.); (W.R.); (G.S.)
- Department of Biology, University of Konstanz, 78464 Konstanz, Germany
| | - Jiarong Guo
- European Virus Bioinformatics Center, 07743 Jena, Germany; (E.G.-T.); (A.J.G.); (J.G.); (D.J.); (K.K.); (A.L.); (M.R.); (G.L.L.); (L.N.); (E.D.); (E.H.); (P.L.); (M.B.S.); (F.W.); (F.G.-C.); (A.P.-C.); (W.R.); (G.S.)
- Departments of Microbiology, and Civil, Environmental, and Geodetic Engineering, Ohio State University, Columbus, OH 43210, USA
| | - Daan Jansen
- European Virus Bioinformatics Center, 07743 Jena, Germany; (E.G.-T.); (A.J.G.); (J.G.); (D.J.); (K.K.); (A.L.); (M.R.); (G.L.L.); (L.N.); (E.D.); (E.H.); (P.L.); (M.B.S.); (F.W.); (F.G.-C.); (A.P.-C.); (W.R.); (G.S.)
- Department of Microbiology, Immunology and Transplantation, Rega Institute, Laboratory of Viral Metagenomics, KU Leuven, 3000 Leuven, Belgium
| | - John Juma
- International Livestock Research Institute (ILRI), Nairobi 00100, Kenya;
- South African National Bioinformatics Institute, South African MRC Bioinformatics Unit, Cape Town 7530, South Africa
| | - Kunaphas Kongkitimanon
- European Virus Bioinformatics Center, 07743 Jena, Germany; (E.G.-T.); (A.J.G.); (J.G.); (D.J.); (K.K.); (A.L.); (M.R.); (G.L.L.); (L.N.); (E.D.); (E.H.); (P.L.); (M.B.S.); (F.W.); (F.G.-C.); (A.P.-C.); (W.R.); (G.S.)
- Methodology and Research Infrastructure, MF1 Bioinformatics, Robert Koch Institute, 13353 Berlin, Germany;
| | - Antoni Luque
- European Virus Bioinformatics Center, 07743 Jena, Germany; (E.G.-T.); (A.J.G.); (J.G.); (D.J.); (K.K.); (A.L.); (M.R.); (G.L.L.); (L.N.); (E.D.); (E.H.); (P.L.); (M.B.S.); (F.W.); (F.G.-C.); (A.P.-C.); (W.R.); (G.S.)
- Viral Information Institute, San Diego State University, San Diego, CA 92116, USA
- Computational Science Research Center, San Diego State University, San Diego, CA 92116, USA
- Department of Mathematics and Statistics, San Diego State University, San Diego, CA 92116, USA
| | - Muriel Ritsch
- European Virus Bioinformatics Center, 07743 Jena, Germany; (E.G.-T.); (A.J.G.); (J.G.); (D.J.); (K.K.); (A.L.); (M.R.); (G.L.L.); (L.N.); (E.D.); (E.H.); (P.L.); (M.B.S.); (F.W.); (F.G.-C.); (A.P.-C.); (W.R.); (G.S.)
- RNA Bioinformatics and High-Throughput Analysis, Friedrich Schiller University Jena, 07743 Jena, Germany;
| | - Gabriel Lencioni Lovate
- European Virus Bioinformatics Center, 07743 Jena, Germany; (E.G.-T.); (A.J.G.); (J.G.); (D.J.); (K.K.); (A.L.); (M.R.); (G.L.L.); (L.N.); (E.D.); (E.H.); (P.L.); (M.B.S.); (F.W.); (F.G.-C.); (A.P.-C.); (W.R.); (G.S.)
- RNA Bioinformatics and High-Throughput Analysis, Friedrich Schiller University Jena, 07743 Jena, Germany;
- JRG Analytical MicroBioinformatics, Friedrich Schiller University Jena, 07743 Jena, Germany
| | - Luca Nishimura
- European Virus Bioinformatics Center, 07743 Jena, Germany; (E.G.-T.); (A.J.G.); (J.G.); (D.J.); (K.K.); (A.L.); (M.R.); (G.L.L.); (L.N.); (E.D.); (E.H.); (P.L.); (M.B.S.); (F.W.); (F.G.-C.); (A.P.-C.); (W.R.); (G.S.)
- Department of Genetics, School of Life Science, The Graduate University for Advanced Studies (SOKENDAI), Mishima 411-8540, Japan
- Human Genetics Laboratory, National Institute of Genetics, Mishima 411-8540, Japan
| | - Célia Pas
- Laboratory of Applied Biotechnology, Department of Biotechnology, Ghent University, 9000 Ghent, Belgium; (D.B.); (C.P.)
| | - Esteban Domingo
- European Virus Bioinformatics Center, 07743 Jena, Germany; (E.G.-T.); (A.J.G.); (J.G.); (D.J.); (K.K.); (A.L.); (M.R.); (G.L.L.); (L.N.); (E.D.); (E.H.); (P.L.); (M.B.S.); (F.W.); (F.G.-C.); (A.P.-C.); (W.R.); (G.S.)
- Centro de Biología Molecular “Severo Ochoa” (CSIC-UAM), 28049 Madrid, Spain
- Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas (CIBERehd) del Instituto de Salud Carlos III, 28029 Madrid, Spain
| | - Emma Hodcroft
- European Virus Bioinformatics Center, 07743 Jena, Germany; (E.G.-T.); (A.J.G.); (J.G.); (D.J.); (K.K.); (A.L.); (M.R.); (G.L.L.); (L.N.); (E.D.); (E.H.); (P.L.); (M.B.S.); (F.W.); (F.G.-C.); (A.P.-C.); (W.R.); (G.S.)
- Institute of Social and Preventive Medicine, University of Bern, 3012 Bern, Switzerland
- Swiss Institute of Bioinformatics, 1015 Lausanne, Switzerland
| | - Philippe Lemey
- European Virus Bioinformatics Center, 07743 Jena, Germany; (E.G.-T.); (A.J.G.); (J.G.); (D.J.); (K.K.); (A.L.); (M.R.); (G.L.L.); (L.N.); (E.D.); (E.H.); (P.L.); (M.B.S.); (F.W.); (F.G.-C.); (A.P.-C.); (W.R.); (G.S.)
- Department of Microbiology, Immunology and Transplantation, Rega Institute, KU Leuven, 3000 Leuven, Belgium
| | - Matthew B. Sullivan
- European Virus Bioinformatics Center, 07743 Jena, Germany; (E.G.-T.); (A.J.G.); (J.G.); (D.J.); (K.K.); (A.L.); (M.R.); (G.L.L.); (L.N.); (E.D.); (E.H.); (P.L.); (M.B.S.); (F.W.); (F.G.-C.); (A.P.-C.); (W.R.); (G.S.)
- Departments of Microbiology, and Civil, Environmental, and Geodetic Engineering, Ohio State University, Columbus, OH 43210, USA
| | - Friedemann Weber
- European Virus Bioinformatics Center, 07743 Jena, Germany; (E.G.-T.); (A.J.G.); (J.G.); (D.J.); (K.K.); (A.L.); (M.R.); (G.L.L.); (L.N.); (E.D.); (E.H.); (P.L.); (M.B.S.); (F.W.); (F.G.-C.); (A.P.-C.); (W.R.); (G.S.)
- Institute for Virology, Veterinary Medicine, Justus-Liebig University, 35390 Gießen, Germany
| | - Fernando González-Candelas
- European Virus Bioinformatics Center, 07743 Jena, Germany; (E.G.-T.); (A.J.G.); (J.G.); (D.J.); (K.K.); (A.L.); (M.R.); (G.L.L.); (L.N.); (E.D.); (E.H.); (P.L.); (M.B.S.); (F.W.); (F.G.-C.); (A.P.-C.); (W.R.); (G.S.)
- Joint Research Unit “Infection and Public Health” FISABIO, University of Valencia, 46010 Valencia, Spain
- Institute for Integrative Systems Biology (I2SysBio), CSIC, University of Valencia, 46010 Valencia, Spain
| | - Sarah Krautwurst
- RNA Bioinformatics and High-Throughput Analysis, Friedrich Schiller University Jena, 07743 Jena, Germany;
| | - Alba Pérez-Cataluña
- European Virus Bioinformatics Center, 07743 Jena, Germany; (E.G.-T.); (A.J.G.); (J.G.); (D.J.); (K.K.); (A.L.); (M.R.); (G.L.L.); (L.N.); (E.D.); (E.H.); (P.L.); (M.B.S.); (F.W.); (F.G.-C.); (A.P.-C.); (W.R.); (G.S.)
- VISAFELab, Department of Preservation and Food Safety Technologies, Institute of Agrochemistry and Food Technology, IATA-CSIC, 46980 Valencia, Spain
| | - Walter Randazzo
- European Virus Bioinformatics Center, 07743 Jena, Germany; (E.G.-T.); (A.J.G.); (J.G.); (D.J.); (K.K.); (A.L.); (M.R.); (G.L.L.); (L.N.); (E.D.); (E.H.); (P.L.); (M.B.S.); (F.W.); (F.G.-C.); (A.P.-C.); (W.R.); (G.S.)
- VISAFELab, Department of Preservation and Food Safety Technologies, Institute of Agrochemistry and Food Technology, IATA-CSIC, 46980 Valencia, Spain
| | - Gloria Sánchez
- European Virus Bioinformatics Center, 07743 Jena, Germany; (E.G.-T.); (A.J.G.); (J.G.); (D.J.); (K.K.); (A.L.); (M.R.); (G.L.L.); (L.N.); (E.D.); (E.H.); (P.L.); (M.B.S.); (F.W.); (F.G.-C.); (A.P.-C.); (W.R.); (G.S.)
- VISAFELab, Department of Preservation and Food Safety Technologies, Institute of Agrochemistry and Food Technology, IATA-CSIC, 46980 Valencia, Spain
| | - Manja Marz
- European Virus Bioinformatics Center, 07743 Jena, Germany; (E.G.-T.); (A.J.G.); (J.G.); (D.J.); (K.K.); (A.L.); (M.R.); (G.L.L.); (L.N.); (E.D.); (E.H.); (P.L.); (M.B.S.); (F.W.); (F.G.-C.); (A.P.-C.); (W.R.); (G.S.)
- RNA Bioinformatics and High-Throughput Analysis, Friedrich Schiller University Jena, 07743 Jena, Germany;
| |
Collapse
|
21
|
Databases, Knowledgebases, and Software Tools for Virus Informatics. ADVANCES IN EXPERIMENTAL MEDICINE AND BIOLOGY 2022; 1368:1-19. [DOI: 10.1007/978-981-16-8969-7_1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
|
22
|
Giron CC, Laaksonen A, Barroso da Silva FL. Up State of the SARS-COV-2 Spike Homotrimer Favors an Increased Virulence for New Variants. FRONTIERS IN MEDICAL TECHNOLOGY 2021; 3:694347. [PMID: 35047936 PMCID: PMC8757851 DOI: 10.3389/fmedt.2021.694347] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2021] [Accepted: 05/31/2021] [Indexed: 12/23/2022] Open
Abstract
The COVID-19 pandemic has spread worldwide. However, as soon as the first vaccines-the only scientifically verified and efficient therapeutic option thus far-were released, mutations combined into variants of SARS-CoV-2 that are more transmissible and virulent emerged, raising doubts about their efficiency. This study aims to explain possible molecular mechanisms responsible for the increased transmissibility and the increased rate of hospitalizations related to the new variants. A combination of theoretical methods was employed. Constant-pH Monte Carlo simulations were carried out to quantify the stability of several spike trimeric structures at different conformational states and the free energy of interactions between the receptor-binding domain (RBD) and angiotensin-converting enzyme II (ACE2) for the most worrying variants. Electrostatic epitopes were mapped using the PROCEEDpKa method. These analyses showed that the increased virulence is more likely to be due to the improved stability to the S trimer in the opened state, in which the virus can interact with the cellular receptor, ACE2, rather than due to alterations in the complexation RBD-ACE2, since the difference observed in the free energy values was small (although more attractive in general). Conversely, the South African/Beta variant (B.1.351), compared with the SARS-CoV-2 wild type (wt), is much more stable in the opened state with one or two RBDs in the up position than in the closed state with three RBDs in the down position favoring the infection. Such results contribute to understanding the natural history of disease and indicate possible strategies for developing new therapeutic molecules and adjusting the vaccine doses for higher B-cell antibody production.
Collapse
Affiliation(s)
- Carolina Corrêa Giron
- Departamento de Ciências Biomoleculares, Faculdade de Ciências Farmacêuticas de Ribeirão Preto, Universidade de São Paulo, Ribeirão Preto, Brazil
- Hospital de Clínicas, Universidade Federal do Triângulo Mineiro, Uberaba, Brazil
| | - Aatto Laaksonen
- Arrhenius Laboratory, Department of Materials and Environmental Chemistry, Stockholm University, Stockholm, Sweden
- State Key Laboratory of Materials-Oriented and Chemical Engineering, Nanjing Tech University, Nanjing, China
- Centre of Advanced Research in Bionanoconjugates and Biopolymers, Petru Poni Institute of Macromolecular Chemistry, Iasi, Romania
- Division of Energy Science, Department of Engineering Sciences and Mathematics, Luleå University of Technology, Luleå, Sweden
| | - Fernando Luís Barroso da Silva
- Departamento de Ciências Biomoleculares, Faculdade de Ciências Farmacêuticas de Ribeirão Preto, Universidade de São Paulo, Ribeirão Preto, Brazil
- Department of Chemical and Biomolecular Engineering, North Carolina State University, Raleigh, NC, United States
| |
Collapse
|
23
|
Reynolds N, Aceves NM, Liu JL, Compton JR, Leary DH, Freitas BT, Pegan SD, Doctor KZ, Wu FY, Hu X, Legler PM. The SARS-CoV-2 SSHHPS Recognized by the Papain-like Protease. ACS Infect Dis 2021; 7:1483-1502. [PMID: 34019767 PMCID: PMC8171221 DOI: 10.1021/acsinfecdis.0c00866] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/11/2020] [Indexed: 12/16/2022]
Abstract
Viral proteases are highly specific and recognize conserved cleavage site sequences of ∼6-8 amino acids. Short stretches of homologous host-pathogen sequences (SSHHPS) can be found spanning the viral protease cleavage sites. We hypothesized that these sequences corresponded to specific host protein targets since >40 host proteins have been shown to be cleaved by Group IV viral proteases and one Group VI viral protease. Using PHI-BLAST and the viral protease cleavage site sequences, we searched the human proteome for host targets and analyzed the hit results. Although the polyprotein and host proteins related to the suppression of the innate immune responses may be the primary targets of these viral proteases, we identified other cleavable host proteins. These proteins appear to be related to the virus-induced phenotype associated with Group IV viruses, suggesting that information about viral pathogenesis may be extractable directly from the viral genome sequence. Here we identify sequences cleaved by the SARS-CoV-2 papain-like protease (PLpro) in vitro within human MYH7 and MYH6 (two cardiac myosins linked to several cardiomyopathies), FOXP3 (an X-linked Treg cell transcription factor), ErbB4 (HER4), and vitamin-K-dependent plasma protein S (PROS1), an anticoagulation protein that prevents blood clots. Zinc inhibited the cleavage of these host sequences in vitro. Other patterns emerged from multispecies sequence alignments of the cleavage sites, which may have implications for the selection of animal models and zoonosis. SSHHPS/nsP is an example of a sequence-specific post-translational silencing mechanism.
Collapse
Affiliation(s)
- Nathanael
D. Reynolds
- Center
for Bio/molecular Science and Engineering (CBMSE), U.S. Naval Research Laboratory, 4555 Overlook Avenue, Washington, DC 20375, United States
| | | | - Jinny L. Liu
- Center
for Bio/molecular Science and Engineering (CBMSE), U.S. Naval Research Laboratory, 4555 Overlook Avenue, Washington, DC 20375, United States
| | - Jaimee R. Compton
- Center
for Bio/molecular Science and Engineering (CBMSE), U.S. Naval Research Laboratory, 4555 Overlook Avenue, Washington, DC 20375, United States
| | - Dagmar H. Leary
- Center
for Bio/molecular Science and Engineering (CBMSE), U.S. Naval Research Laboratory, 4555 Overlook Avenue, Washington, DC 20375, United States
| | - Brendan T. Freitas
- Center
for Drug Discovery, College of Pharmacy, University of Georgia, Athens, Georgia 30602, United States
| | - Scott D. Pegan
- Center
for Drug Discovery, College of Pharmacy, University of Georgia, Athens, Georgia 30602, United States
| | - Katarina Z. Doctor
- Navy
Center for Applied Research in AI (NCARAI) Information Technology
Division, U.S. Naval Research Laboratory, 4555 Overlook Ave., Washington, DC 20375, United States
| | - Fred Y. Wu
- Indiana
University Health Systems, Indiana University
School of Medicine, Bloomington, Indiana 47401, United States
| | - Xin Hu
- National
Center for Advancing Translational Sciences, National Institutes of
Health, Rockville, Maryland 20850, United
States
| | - Patricia M. Legler
- Center
for Bio/molecular Science and Engineering (CBMSE), U.S. Naval Research Laboratory, 4555 Overlook Avenue, Washington, DC 20375, United States
| |
Collapse
|
24
|
Cruz-Pulido D, Boley PA, Ouma WZ, Alhamo MA, Saif LJ, Kenney SP. Comparative Transcriptome Profiling of Human and Pig Intestinal Epithelial Cells after Porcine Deltacoronavirus Infection. Viruses 2021; 13:v13020292. [PMID: 33668405 PMCID: PMC7918119 DOI: 10.3390/v13020292] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/31/2020] [Revised: 02/05/2021] [Accepted: 02/09/2021] [Indexed: 01/16/2023] Open
Abstract
Porcine deltacoronavirus (PDCoV) is an emerging infectious disease of swine with zoonotic potential. Phylogenetic analysis suggests that PDCoV originated recently from a host-switching event between birds and mammals. Little is known about how PDCoV interacts with its differing hosts. Human-derived cell lines are susceptible to PDCoV infection. Herein, we compare the gene expression profiles of an established host swine cells to potential emerging host human cells after infection with PDCoV. Cell lines derived from intestinal lineages were used to reproduce the primary sites of viral infection in the host. Porcine intestinal epithelial cells (IPEC-J2) and human intestinal epithelial cells (HIEC) were infected with PDCoV. RNA-sequencing was performed on total RNA extracted from infected cells. Human cells exhibited a more pronounced response to PDCoV infection in comparison to porcine cells with more differentially expressed genes (DEGs) in human, 7486, in comparison to pig cells, 1134. On the transcriptional level, the adoptive host human cells exhibited more DEGs in response to PDCoV infection in comparison to the primary pig host cells, where different types of cytokines can control PDCoV replication and virus production. Key immune-associated DEGs and signaling pathways are shared between human and pig cells during PDCoV infection. These included genes related to the NF-kappa-B transcription factor family, the interferon (IFN) family, the protein-kinase family, and signaling pathways such as the apoptosis signaling pathway, JAK-STAT signaling pathway, inflammation/cytokine–cytokine receptor signaling pathway. MAP4K4 was unique in up-regulated DEGs in humans in the apoptosis signaling pathway. While similarities exist between human and pig cells in many pathways, our research suggests that the adaptation of PDCoV to the porcine host required the ability to down-regulate many response pathways including the interferon pathway. Our findings provide an important foundation that contributes to an understanding of the mechanisms of PDCoV infection across different hosts. To our knowledge, this is the first report of transcriptome analysis of human cells infected by PDCoV.
Collapse
Affiliation(s)
- Diana Cruz-Pulido
- Department of Veterinary Preventive Medicine, Food Animal Health Research Program (FAHRP), Wooster, OH 44691, USA; (D.C.-P.); (P.A.B.); (M.A.A.); (L.J.S.)
| | - Patricia A. Boley
- Department of Veterinary Preventive Medicine, Food Animal Health Research Program (FAHRP), Wooster, OH 44691, USA; (D.C.-P.); (P.A.B.); (M.A.A.); (L.J.S.)
| | | | - Moyasar A. Alhamo
- Department of Veterinary Preventive Medicine, Food Animal Health Research Program (FAHRP), Wooster, OH 44691, USA; (D.C.-P.); (P.A.B.); (M.A.A.); (L.J.S.)
| | - Linda J. Saif
- Department of Veterinary Preventive Medicine, Food Animal Health Research Program (FAHRP), Wooster, OH 44691, USA; (D.C.-P.); (P.A.B.); (M.A.A.); (L.J.S.)
| | - Scott P. Kenney
- Department of Veterinary Preventive Medicine, Food Animal Health Research Program (FAHRP), Wooster, OH 44691, USA; (D.C.-P.); (P.A.B.); (M.A.A.); (L.J.S.)
- Correspondence: ; Tel.: +1-330-263-3747
| |
Collapse
|
25
|
Peter S, Dittrich P, Ibrahim B. Structure and Hierarchy of SARS-CoV-2 Infection Dynamics Models Revealed by Reaction Network Analysis. Viruses 2020; 13:E14. [PMID: 33374824 PMCID: PMC7824261 DOI: 10.3390/v13010014] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2020] [Revised: 12/08/2020] [Accepted: 12/16/2020] [Indexed: 12/30/2022] Open
Abstract
This work provides a mathematical technique for analyzing and comparing infection dynamics models with respect to their potential long-term behavior, resulting in a hierarchy integrating all models. We apply our technique to coupled ordinary and partial differential equation models of SARS-CoV-2 infection dynamics operating on different scales, that is, within a single organism and between several hosts. The structure of a model is assessed by the theory of chemical organizations, not requiring quantitative kinetic information. We present the Hasse diagrams of organizations for the twelve virus models analyzed within this study. For comparing models, each organization is characterized by the types of species it contains. For this, each species is mapped to one out of four types, representing uninfected, infected, immune system, and bacterial species, respectively. Subsequently, we can integrate these results with those of our former work on Influenza-A virus resulting in a single joint hierarchy of 24 models. It appears that the SARS-CoV-2 models are simpler with respect to their long term behavior and thus display a simpler hierarchy with little dependencies compared to the Influenza-A models. Our results can support further development towards more complex SARS-CoV-2 models targeting the higher levels of the hierarchy.
Collapse
Affiliation(s)
- Stephan Peter
- Department of Fundamental Sciences, Ernst-Abbe University of Applied Sciences Jena, Carl-Zeiss-Promenade 2, 07745 Jena, Germany;
- Bio Systems Analysis Group, Department of Mathematics and Computer Science, University of Jena, Ernst-Abbe-Platz 2, 07743 Jena, Germany
| | - Peter Dittrich
- Bio Systems Analysis Group, Department of Mathematics and Computer Science, University of Jena, Ernst-Abbe-Platz 2, 07743 Jena, Germany
| | - Bashar Ibrahim
- Bio Systems Analysis Group, Department of Mathematics and Computer Science, University of Jena, Ernst-Abbe-Platz 2, 07743 Jena, Germany
- Department of Mathematics and Natural Sciences, Centre for Applied Mathematics and Bioinformatics, Gulf University for Science and Technology, 32093 Hawally, Kuwait
- European Virus Bioinformatics Center, Leutragraben 1, 07743 Jena, Germany
| |
Collapse
|
26
|
Hufsky F, Beerenwinkel N, Meyer IM, Roux S, Cook GM, Kinsella CM, Lamkiewicz K, Marquet M, Nieuwenhuijse DF, Olendraite I, Paraskevopoulou S, Young F, Dijkman R, Ibrahim B, Kelly J, Le Mercier P, Marz M, Ramette A, Thiel V. The International Virus Bioinformatics Meeting 2020. Viruses 2020; 12:E1398. [PMID: 33291220 PMCID: PMC7762161 DOI: 10.3390/v12121398] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2020] [Accepted: 12/01/2020] [Indexed: 12/16/2022] Open
Abstract
The International Virus Bioinformatics Meeting 2020 was originally planned to take place in Bern, Switzerland, in March 2020. However, the COVID-19 pandemic put a spoke in the wheel of almost all conferences to be held in 2020. After moving the conference to 8-9 October 2020, we got hit by the second wave and finally decided at short notice to go fully online. On the other hand, the pandemic has made us even more aware of the importance of accelerating research in viral bioinformatics. Advances in bioinformatics have led to improved approaches to investigate viral infections and outbreaks. The International Virus Bioinformatics Meeting 2020 has attracted approximately 120 experts in virology and bioinformatics from all over the world to join the two-day virtual meeting. Despite concerns being raised that virtual meetings lack possibilities for face-to-face discussion, the participants from this small community created a highly interactive scientific environment, engaging in lively and inspiring discussions and suggesting new research directions and questions. The meeting featured five invited and twelve contributed talks, on the four main topics: (1) proteome and RNAome of RNA viruses, (2) viral metagenomics and ecology, (3) virus evolution and classification and (4) viral infections and immunology. Further, the meeting featured 20 oral poster presentations, all of which focused on specific areas of virus bioinformatics. This report summarizes the main research findings and highlights presented at the meeting.
Collapse
Affiliation(s)
- Franziska Hufsky
- European Virus Bioinformatics Center, 07743 Jena, Germany; (N.B.); (I.M.M.); (G.M.C.); (C.M.K.); (K.L.); (M.M.); (D.F.N.); (I.O.); (S.P.); (R.D.); (B.I.); (J.K.); (P.L.M.); (M.M.); (A.R.); (V.T.)
- RNA Bioinformatics and High-Throughput Analysis, Friedrich Schiller University Jena, 07743 Jena, Germany
| | - Niko Beerenwinkel
- European Virus Bioinformatics Center, 07743 Jena, Germany; (N.B.); (I.M.M.); (G.M.C.); (C.M.K.); (K.L.); (M.M.); (D.F.N.); (I.O.); (S.P.); (R.D.); (B.I.); (J.K.); (P.L.M.); (M.M.); (A.R.); (V.T.)
- Department of Biosystems Science and Engineering, ETH Zurich, 4058 Basel, Switzerland
- SIB Swiss Institute of Bioinformatics, 4058 Basel, Switzerland
| | - Irmtraud M. Meyer
- European Virus Bioinformatics Center, 07743 Jena, Germany; (N.B.); (I.M.M.); (G.M.C.); (C.M.K.); (K.L.); (M.M.); (D.F.N.); (I.O.); (S.P.); (R.D.); (B.I.); (J.K.); (P.L.M.); (M.M.); (A.R.); (V.T.)
- Max Delbrück Center for Molecular Medicine in the Helmholtz Association, Berlin Institute for Medical Systems Biology, 10115 Berlin, Germany
- Department of Biology, Chemistry and Pharmacy, Institute of Chemistry and Biochemistry, Freie Universität Berlin, 14195 Berlin, Germany
| | - Simon Roux
- Lawrence Berkeley National Laboratory, DOE Joint Genome Institute, Berkeley, CA 94720, USA;
| | - Georgia May Cook
- European Virus Bioinformatics Center, 07743 Jena, Germany; (N.B.); (I.M.M.); (G.M.C.); (C.M.K.); (K.L.); (M.M.); (D.F.N.); (I.O.); (S.P.); (R.D.); (B.I.); (J.K.); (P.L.M.); (M.M.); (A.R.); (V.T.)
- Department of Pathology, Division of Virology, University of Cambridge, Cambridge CB2 1TN, UK
| | - Cormac M. Kinsella
- European Virus Bioinformatics Center, 07743 Jena, Germany; (N.B.); (I.M.M.); (G.M.C.); (C.M.K.); (K.L.); (M.M.); (D.F.N.); (I.O.); (S.P.); (R.D.); (B.I.); (J.K.); (P.L.M.); (M.M.); (A.R.); (V.T.)
- Laboratory of Experimental Virology, Department of Medical Microbiology and Infection Prevention, Amsterdam UMC, University of Amsterdam, 1105 AZ Amsterdam, The Netherlands
| | - Kevin Lamkiewicz
- European Virus Bioinformatics Center, 07743 Jena, Germany; (N.B.); (I.M.M.); (G.M.C.); (C.M.K.); (K.L.); (M.M.); (D.F.N.); (I.O.); (S.P.); (R.D.); (B.I.); (J.K.); (P.L.M.); (M.M.); (A.R.); (V.T.)
- RNA Bioinformatics and High-Throughput Analysis, Friedrich Schiller University Jena, 07743 Jena, Germany
| | - Mike Marquet
- European Virus Bioinformatics Center, 07743 Jena, Germany; (N.B.); (I.M.M.); (G.M.C.); (C.M.K.); (K.L.); (M.M.); (D.F.N.); (I.O.); (S.P.); (R.D.); (B.I.); (J.K.); (P.L.M.); (M.M.); (A.R.); (V.T.)
- CaSe Group, Institut für Infektionsmedizin und Krankenhaushygiene, Universitätsklinikum Jena, 07743 Jena, Germany
| | - David F. Nieuwenhuijse
- European Virus Bioinformatics Center, 07743 Jena, Germany; (N.B.); (I.M.M.); (G.M.C.); (C.M.K.); (K.L.); (M.M.); (D.F.N.); (I.O.); (S.P.); (R.D.); (B.I.); (J.K.); (P.L.M.); (M.M.); (A.R.); (V.T.)
- Viroscience Department, Erasmus MC, 3015 GD Rotterdam, The Netherlands
| | - Ingrida Olendraite
- European Virus Bioinformatics Center, 07743 Jena, Germany; (N.B.); (I.M.M.); (G.M.C.); (C.M.K.); (K.L.); (M.M.); (D.F.N.); (I.O.); (S.P.); (R.D.); (B.I.); (J.K.); (P.L.M.); (M.M.); (A.R.); (V.T.)
- Department of Pathology, Division of Virology, University of Cambridge, Cambridge CB2 1TN, UK
| | - Sofia Paraskevopoulou
- European Virus Bioinformatics Center, 07743 Jena, Germany; (N.B.); (I.M.M.); (G.M.C.); (C.M.K.); (K.L.); (M.M.); (D.F.N.); (I.O.); (S.P.); (R.D.); (B.I.); (J.K.); (P.L.M.); (M.M.); (A.R.); (V.T.)
- Institute of Virology, Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, 10117 Berlin, Germany
| | - Francesca Young
- MRC-University of Glasgow Centre for Virus Research, Glasgow G61 1QH, UK;
| | - Ronald Dijkman
- European Virus Bioinformatics Center, 07743 Jena, Germany; (N.B.); (I.M.M.); (G.M.C.); (C.M.K.); (K.L.); (M.M.); (D.F.N.); (I.O.); (S.P.); (R.D.); (B.I.); (J.K.); (P.L.M.); (M.M.); (A.R.); (V.T.)
- Institute of Virology and Immunology, University of Bern, 3012 Bern, Switzerland
- Department of Infectious Diseases and Pathobiology, Vetsuisse Faculty, University of Bern, 3012 Bern, Switzerland
- Institute for Infectious Diseases, University of Bern, 3012 Bern, Switzerland
| | - Bashar Ibrahim
- European Virus Bioinformatics Center, 07743 Jena, Germany; (N.B.); (I.M.M.); (G.M.C.); (C.M.K.); (K.L.); (M.M.); (D.F.N.); (I.O.); (S.P.); (R.D.); (B.I.); (J.K.); (P.L.M.); (M.M.); (A.R.); (V.T.)
- Centre for Applied Mathematics and Bioinformatics, Hawally 32093, Kuwait
- Department of Mathematics and Natural Sciences Gulf University for Science and Technology, Hawally 32093, Kuwait
| | - Jenna Kelly
- European Virus Bioinformatics Center, 07743 Jena, Germany; (N.B.); (I.M.M.); (G.M.C.); (C.M.K.); (K.L.); (M.M.); (D.F.N.); (I.O.); (S.P.); (R.D.); (B.I.); (J.K.); (P.L.M.); (M.M.); (A.R.); (V.T.)
- Institute of Virology and Immunology, University of Bern, 3012 Bern, Switzerland
| | - Philippe Le Mercier
- European Virus Bioinformatics Center, 07743 Jena, Germany; (N.B.); (I.M.M.); (G.M.C.); (C.M.K.); (K.L.); (M.M.); (D.F.N.); (I.O.); (S.P.); (R.D.); (B.I.); (J.K.); (P.L.M.); (M.M.); (A.R.); (V.T.)
- Swiss-Prot Group, SIB Swiss Institute of Bioinformatics, 1205 Geneva, Switzerland
| | - Manja Marz
- European Virus Bioinformatics Center, 07743 Jena, Germany; (N.B.); (I.M.M.); (G.M.C.); (C.M.K.); (K.L.); (M.M.); (D.F.N.); (I.O.); (S.P.); (R.D.); (B.I.); (J.K.); (P.L.M.); (M.M.); (A.R.); (V.T.)
- RNA Bioinformatics and High-Throughput Analysis, Friedrich Schiller University Jena, 07743 Jena, Germany
| | - Alban Ramette
- European Virus Bioinformatics Center, 07743 Jena, Germany; (N.B.); (I.M.M.); (G.M.C.); (C.M.K.); (K.L.); (M.M.); (D.F.N.); (I.O.); (S.P.); (R.D.); (B.I.); (J.K.); (P.L.M.); (M.M.); (A.R.); (V.T.)
- Institute for Infectious Diseases, University of Bern, 3012 Bern, Switzerland
| | - Volker Thiel
- European Virus Bioinformatics Center, 07743 Jena, Germany; (N.B.); (I.M.M.); (G.M.C.); (C.M.K.); (K.L.); (M.M.); (D.F.N.); (I.O.); (S.P.); (R.D.); (B.I.); (J.K.); (P.L.M.); (M.M.); (A.R.); (V.T.)
- Institute of Virology and Immunology, University of Bern, 3012 Bern, Switzerland
| |
Collapse
|
27
|
Corrêa Giron C, Laaksonen A, Barroso da Silva FL. On the interactions of the receptor-binding domain of SARS-CoV-1 and SARS-CoV-2 spike proteins with monoclonal antibodies and the receptor ACE2. Virus Res 2020; 285:198021. [PMID: 32416259 PMCID: PMC7228703 DOI: 10.1016/j.virusres.2020.198021] [Citation(s) in RCA: 38] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/06/2020] [Revised: 05/01/2020] [Accepted: 05/11/2020] [Indexed: 01/12/2023]
Abstract
A new betacoronavirus named SARS-CoV-2 has emerged as a new threat to global health and economy. A promising target for both diagnosis and therapeutics treatments of the new disease named COVID-19 is the coronavirus (CoV) spike (S) glycoprotein. By constant-pH Monte Carlo simulations and the PROCEEDpKa method, we have mapped the electrostatic epitopes for four monoclonal antibodies and the angiotensin-converting enzyme 2 (ACE2) on both SARS-CoV-1 and the new SARS-CoV-2 S receptor binding domain (RBD) proteins. We also calculated free energy of interactions and shown that the S RBD proteins from both SARS viruses binds to ACE2 with similar affinities. However, the affinity between the S RBD protein from the new SARS-CoV-2 and ACE2 is higher than for any studied antibody previously found complexed with SARS-CoV-1. Based on physical chemical analysis and free energies estimates, we can shed some light on the involved molecular recognition processes, their clinical aspects, the implications for drug developments, and suggest structural modifications on the CR3022 antibody that would improve its binding affinities for SARS-CoV-2 and contribute to address the ongoing international health crisis.
Collapse
MESH Headings
- Angiotensin-Converting Enzyme 2
- Antibodies, Monoclonal/immunology
- Antibodies, Monoclonal/metabolism
- Antibodies, Viral/immunology
- Antibodies, Viral/metabolism
- Betacoronavirus/chemistry
- Betacoronavirus/immunology
- Computer Simulation
- Epitope Mapping
- Humans
- Models, Molecular
- Monte Carlo Method
- Peptidyl-Dipeptidase A/chemistry
- Peptidyl-Dipeptidase A/metabolism
- Protein Binding
- Protein Conformation
- Protein Interaction Domains and Motifs
- Protein Interaction Mapping
- Receptors, Virus/chemistry
- Receptors, Virus/metabolism
- Severe acute respiratory syndrome-related coronavirus/chemistry
- Severe acute respiratory syndrome-related coronavirus/immunology
- SARS-CoV-2
- Spike Glycoprotein, Coronavirus/chemistry
- Spike Glycoprotein, Coronavirus/immunology
- Spike Glycoprotein, Coronavirus/metabolism
- Thermodynamics
Collapse
Affiliation(s)
- Carolina Corrêa Giron
- Universidade Federal do Triângulo Mineiro, Departamento de Saúde Coletiva, Rua Vigário Carlos, 38025-350 Uberaba, MG, Brazil; Universidade de São Paulo, Departamento de Ciências Biomoleculares, Faculdade de Ciências Farmacêuticas de Ribeirão Preto, Av. café, s/no - campus da USP, BR-14040-903 Ribeirão Preto SP, Brazil
| | - Aatto Laaksonen
- Department of Materials and Environmental Chemistry, Arrhenius Laboratory, Stockholm University, SE-106 91 Stockholm, Sweden; State Key Laboratory of Materials-Oriented and Chemical Engineering, Nanjing Tech University, Nanjing, 210009, PR China; Centre of Advanced Research in Bionanoconjugates and Biopolymers, Petru Poni Institute of Macromolecular Chemistry, Aleea Grigore Ghica-Voda, 41A, 700487 Iasi, Romania; Department of Engineering Sciences and Mathematics, Division of Energy Science, Luleå University of Technology, SE-97187 Luleå, Sweden
| | - Fernando L Barroso da Silva
- Universidade de São Paulo, Departamento de Ciências Biomoleculares, Faculdade de Ciências Farmacêuticas de Ribeirão Preto, Av. café, s/no - campus da USP, BR-14040-903 Ribeirão Preto SP, Brazil; Department of Chemical and Biomolecular Engineering, North Carolina State University, Raleigh, NC 27695, United States.
| |
Collapse
|
28
|
Peter S, Ghanim F, Dittrich P, Ibrahim B. Organizations in reaction-diffusion systems: Effects of diffusion and boundary conditions. ECOLOGICAL COMPLEXITY 2020. [DOI: 10.1016/j.ecocom.2020.100855] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
|
29
|
Zhang J, Liu H, Wang J, Wang J, Zhang J, Wang J, Zhang X, Ji H, Ding Z, Xia H, Zhang C, Zhao Q, Liang G. Origin and evolution of emerging Liao ning Virus (genus Seadornavirus, family Reoviridae). Virol J 2020; 17:105. [PMID: 32664965 PMCID: PMC7359424 DOI: 10.1186/s12985-020-01382-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/23/2020] [Accepted: 07/03/2020] [Indexed: 11/24/2022] Open
Abstract
Background Liao ning virus (LNV) is a member of the genus Seadornavirus, family Reoviridae and has been isolated from kinds of vectors in Asia and Australia. However, there are no systematic studies describe the molecular genetic evolution and migration of LNVs. With the development of bioinformatics, viral genetic data combining the information of virus isolation time and locations could be integrated to infer the virus evolution and spread in nature. Methods Here, a phylogenetic and phylogeographic analysis using Bayesian Markov chain Monte Carlo simulations was conducted on the LNVs isolated from a variety of vectors during 1990–2014 to identify the evolution and migration patterns of LNVs. Results The results demonstrated that the LNV could be divided into 3 genotypes, of which genotype 1 mainly composed of LNVs isolated from Australia during 1990 to 2014 and the original LNV strain (LNV-NE97–31) isolated from Liaoning province in northern China in 1997, genotype 2 comprised of the isolates all from Xinjiang province in western China and genotype 3 consisted the isolates from Qinghai and Shanxi province of central China. LNVs emerged about 272 years ago and gradually evolved into three lineages in the order genotype 1, genotype 2 and genotype 3. Following phylogeographic analysis, it shows genotype 1 LNVs transmitted from Australia (113°E-153°E,10°S-42°S) to Liaoning province (118°E-125°E,38°N-43°N) in Northeast Asian continent then further spread across the central part of China to western China (75°E-95°E,35°N-50°N). Conclusion LNVs were initially isolated from Liaoning province of China in the Northeast Asia, however, the present study revealed that LNVs were first appeared in Australia in the South Pacific region and transmitted to mainland China then rapidly spread across China and evolved three different genotypes. The above results suggested that LNV had the characteristics of long-distance transmission and there were great genetic diversity existed in the LNV population. Notably, current information of 80 strains of LNVs are limited. It is of great importance to strengthen the surveillance of LNVs to explore its real origin in nature and monitoring of the LNVs’ population variation and maintain vigilance to avoid LNV breaking through the species barrier and further clarify its relationship to human and animal infection.
Collapse
Affiliation(s)
- Jun Zhang
- Shandong Provincial Research Center for Bioinformatic Engineering and Technique, School of Life Sciences, Shandong University of Technology, Zibo, 255049, People's Republic of China
| | - Hong Liu
- Shandong Provincial Research Center for Bioinformatic Engineering and Technique, School of Life Sciences, Shandong University of Technology, Zibo, 255049, People's Republic of China.
| | - Jiahui Wang
- Shandong Provincial Research Center for Bioinformatic Engineering and Technique, School of Life Sciences, Shandong University of Technology, Zibo, 255049, People's Republic of China
| | - Jiheng Wang
- Shandong Provincial Research Center for Bioinformatic Engineering and Technique, School of Life Sciences, Shandong University of Technology, Zibo, 255049, People's Republic of China
| | - Jianming Zhang
- Shandong Provincial Research Center for Bioinformatic Engineering and Technique, School of Life Sciences, Shandong University of Technology, Zibo, 255049, People's Republic of China
| | - Jiayue Wang
- Shandong Provincial Research Center for Bioinformatic Engineering and Technique, School of Life Sciences, Shandong University of Technology, Zibo, 255049, People's Republic of China
| | - Xin Zhang
- Shandong Provincial Research Center for Bioinformatic Engineering and Technique, School of Life Sciences, Shandong University of Technology, Zibo, 255049, People's Republic of China
| | - Hongfang Ji
- Shandong Provincial Research Center for Bioinformatic Engineering and Technique, School of Life Sciences, Shandong University of Technology, Zibo, 255049, People's Republic of China
| | - Zhongfeng Ding
- Shandong Provincial Research Center for Bioinformatic Engineering and Technique, School of Life Sciences, Shandong University of Technology, Zibo, 255049, People's Republic of China
| | - Han Xia
- Key Laboratory of Special Pathogens and Biosafety, Wuhan Institute of Virology, Chinese Academy of Sciences, Wuhan, 430071, Hubei, China
| | - Chunyang Zhang
- Shandong Provincial Research Center for Bioinformatic Engineering and Technique, School of Life Sciences, Shandong University of Technology, Zibo, 255049, People's Republic of China
| | - Qian Zhao
- Shandong Provincial Research Center for Bioinformatic Engineering and Technique, School of Life Sciences, Shandong University of Technology, Zibo, 255049, People's Republic of China
| | - Guodong Liang
- State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, 102206, People's Republic of China.
| |
Collapse
|
30
|
Adachi A. Grand Challenge in Human/Animal Virology: Unseen, Smallest Replicative Entities Shape the Whole Globe. Front Microbiol 2020; 11:431. [PMID: 32256480 PMCID: PMC7093566 DOI: 10.3389/fmicb.2020.00431] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2020] [Accepted: 03/02/2020] [Indexed: 12/20/2022] Open
Affiliation(s)
- Akio Adachi
- Department of Microbiology, Kansai Medical University, Osaka, Japan.,Tokushima University, Tokushima, Japan
| |
Collapse
|
31
|
Pepin KM, Hopken MW, Shriner SA, Spackman E, Abdo Z, Parrish C, Riley S, Lloyd-Smith JO, Piaggio AJ. Improving risk assessment of the emergence of novel influenza A viruses by incorporating environmental surveillance. Philos Trans R Soc Lond B Biol Sci 2019; 374:20180346. [PMID: 31401963 PMCID: PMC6711309 DOI: 10.1098/rstb.2018.0346] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022] Open
Abstract
Reassortment is an evolutionary mechanism by which influenza A viruses (IAV) generate genetic novelty. Reassortment is an important driver of host jumps and is widespread according to retrospective surveillance studies. However, predicting the epidemiological risk of reassortant emergence in novel hosts from surveillance data remains challenging. IAV strains persist and co-occur in the environment, promoting co-infection during environmental transmission. These conditions offer opportunity to understand reassortant emergence in reservoir and spillover hosts. Specifically, environmental RNA could provide rich information for understanding the evolutionary ecology of segmented viruses, and transform our ability to quantify epidemiological risk to spillover hosts. However, significant challenges with recovering and interpreting genomic RNA from the environment have impeded progress towards predicting reassortant emergence from environmental surveillance data. We discuss how the fields of genomics, experimental ecology and epidemiological modelling are well positioned to address these challenges. Coupling quantitative disease models and natural transmission studies with new molecular technologies, such as deep-mutational scanning and single-virus sequencing of environmental samples, should dramatically improve our understanding of viral co-occurrence and reassortment. We define observable risk metrics for emerging molecular technologies and propose a conceptual research framework for improving accuracy and efficiency of risk prediction. This article is part of the theme issue 'Dynamic and integrative approaches to understanding pathogen spillover'.
Collapse
Affiliation(s)
- Kim M. Pepin
- National Wildlife Research Center, USDA-APHIS, Fort Collins, CO 80521, USA
- e-mail:
| | - Matthew W. Hopken
- National Wildlife Research Center, USDA-APHIS, Fort Collins, CO 80521, USA
- Colorado State University, Fort Collins, CO 80523, USA
| | - Susan A. Shriner
- National Wildlife Research Center, USDA-APHIS, Fort Collins, CO 80521, USA
| | - Erica Spackman
- Exotic and Emerging Avian Viral Diseases Research, USDA-ARS, Athens, GA 30605, USA
| | - Zaid Abdo
- Colorado State University, Fort Collins, CO 80523, USA
| | - Colin Parrish
- Baker Institute for Animal Health, Department of Microbiology and Immunology, Cornell University, Ithaca, NY 14853, USA
| | - Steven Riley
- MRC Centre for Global Infectious Disease Analysis, Imperial College, London, SW7 2AZ, UK
| | - James O. Lloyd-Smith
- UCLA, Los Angeles, CA 90095, USA
- Department of Ecology and Evolutionary Biology, Fogarty International Center, National Institutes of Health, Bethesda MD 20892, USA
| | | |
Collapse
|
32
|
Hufsky F, Ibrahim B, Modha S, Clokie MRJ, Deinhardt-Emmer S, Dutilh BE, Lycett S, Simmonds P, Thiel V, Abroi A, Adriaenssens EM, Escalera-Zamudio M, Kelly JN, Lamkiewicz K, Lu L, Susat J, Sicheritz T, Robertson DL, Marz M. The Third Annual Meeting of the European Virus Bioinformatics Center. Viruses 2019; 11:E420. [PMID: 31060321 PMCID: PMC6563321 DOI: 10.3390/v11050420] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2019] [Accepted: 04/29/2019] [Indexed: 01/21/2023] Open
Abstract
The Third Annual Meeting of the European Virus Bioinformatics Center (EVBC) took place in Glasgow, United Kingdom, 28-29 March 2019. Virus bioinformatics has become central to virology research, and advances in bioinformatics have led to improved approaches to investigate viral infections and outbreaks, being successfully used to detect, control, and treat infections of humans and animals. This active field of research has attracted approximately 110 experts in virology and bioinformatics/computational biology from Europe and other parts of the world to attend the two-day meeting in Glasgow to increase scientific exchange between laboratory- and computer-based researchers. The meeting was held at the McIntyre Building of the University of Glasgow; a perfect location, as it was originally built to be a place for "rubbing your brains with those of other people", as Rector Stanley Baldwin described it. The goal of the meeting was to provide a meaningful and interactive scientific environment to promote discussion and collaboration and to inspire and suggest new research directions and questions. The meeting featured eight invited and twelve contributed talks, on the four main topics: (1) systems virology, (2) virus-host interactions and the virome, (3) virus classification and evolution and (4) epidemiology, surveillance and evolution. Further, the meeting featured 34 oral poster presentations, all of which focused on specific areas of virus bioinformatics. This report summarizes the main research findings and highlights presented at the meeting.
Collapse
Affiliation(s)
- Franziska Hufsky
- European Virus Bioinformatics Center, 07743 Jena, Germany.
- RNA Bioinformatics and High-Throughput Analysis, Friedrich Schiller University Jena, 07743 Jena, Germany.
| | - Bashar Ibrahim
- European Virus Bioinformatics Center, 07743 Jena, Germany.
- Chair of Bioinformatics, Matthias-Schleiden-Institute, Friedrich Schiller University Jena, 07743 Jena, Germany.
| | - Sejal Modha
- MRC-University of Glasgow Centre for Virus Research, Glasgow G61 1QH, UK.
| | - Martha R J Clokie
- Department of Genetics and Genome Biology, University of Leicester, Leicester LE1 7RH, UK.
| | - Stefanie Deinhardt-Emmer
- European Virus Bioinformatics Center, 07743 Jena, Germany.
- Institute of Medical Microbiology, Jena University Hospital, Am Klinikum 1, D-07747 Jena, Germany.
- Section for Experimental Virology, Jena University Hospital, Hans-Knöll-Straße 2, D-07745 Jena, Germany.
- Center for Sepsis Control and Care, Jena University Hospital, D-07747 Jena, Germany.
| | - Bas E Dutilh
- European Virus Bioinformatics Center, 07743 Jena, Germany.
- Theoretical Biology and Bioinformatics, Science4Life, Utrecht University, Padualaan 8, Utrecht 3584 CH, The Netherlands.
- Centre for Molecular and Biomolecular Informatics, Radboud Institute for Molecular Life Sciences, Radboud University Medical Centre, Geert Grooteplein 26, Nijmegen 6525 GA, The Netherlands.
| | - Samantha Lycett
- Infection & Immunity Division, Roslin Institute, University of Edinburgh, Midlothian EH25 9RG, UK.
| | - Peter Simmonds
- Nuffield Department of Medicine, University of Oxford, Peter Medawar Building, South Parks Road, Oxford OX1 3SY, UK.
| | - Volker Thiel
- European Virus Bioinformatics Center, 07743 Jena, Germany.
- Institute of Virology and Immunology, 3012 Bern, Switzerland.
- Department of Infectious Diseases and Pathobiology, Vetsuisse Facility, University of Bern, 3012 Bern, Switzerland.
| | - Aare Abroi
- University of Tartu, Institute of Technology, 50411 Tartu, Estonia.
| | - Evelien M Adriaenssens
- European Virus Bioinformatics Center, 07743 Jena, Germany.
- Quadram Institute Bioscience, Norwich Research Park, Norwich NR4 7UQ, UK.
| | | | - Jenna Nicole Kelly
- Institute of Virology and Immunology, 3012 Bern, Switzerland.
- Department of Infectious Diseases and Pathobiology, Vetsuisse Facility, University of Bern, 3012 Bern, Switzerland.
| | - Kevin Lamkiewicz
- European Virus Bioinformatics Center, 07743 Jena, Germany.
- RNA Bioinformatics and High-Throughput Analysis, Friedrich Schiller University Jena, 07743 Jena, Germany.
| | - Lu Lu
- Usher Institute of Population Health Sciences & Informatics, Ashworth Laboratories, Kings Buildings, University of Edinburgh, Charlotte Auerbach Road, Edinburgh EH9 3FL, UK.
| | - Julian Susat
- Institute of Clinical Molecular Biology, Kiel University, 24118 Kiel, Germany.
| | - Thomas Sicheritz
- Natural History Museum of Denmark, University of Copenhagen, DK-1123 Copenhagen, Denmark.
| | - David L Robertson
- European Virus Bioinformatics Center, 07743 Jena, Germany.
- MRC-University of Glasgow Centre for Virus Research, Glasgow G61 1QH, UK.
| | - Manja Marz
- European Virus Bioinformatics Center, 07743 Jena, Germany.
- RNA Bioinformatics and High-Throughput Analysis, Friedrich Schiller University Jena, 07743 Jena, Germany.
| |
Collapse
|
33
|
Singer JB, Thomson EC, Hughes J, Aranday-Cortes E, McLauchlan J, da Silva Filipe A, Tong L, Manso CF, Gifford RJ, Robertson DL, Barnes E, Ansari MA, Mbisa JL, Bibby DF, Bradshaw D, Smith D. Interpreting Viral Deep Sequencing Data with GLUE. Viruses 2019; 11:E323. [PMID: 30987147 PMCID: PMC6520954 DOI: 10.3390/v11040323] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2019] [Revised: 03/13/2019] [Accepted: 03/14/2019] [Indexed: 01/29/2023] Open
Abstract
Using deep sequencing technologies such as Illumina's platform, it is possible to obtain reads from the viral RNA population revealing the viral genome diversity within a single host. A range of software tools and pipelines can transform raw deep sequencing reads into Sequence Alignment Mapping (SAM) files. We propose that interpretation tools should process these SAM files, directly translating individual reads to amino acids in order to extract statistics of interest such as the proportion of different amino acid residues at specific sites. This preserves per-read linkage between nucleotide variants at different positions within a codon location. The samReporter is a subsystem of the GLUE software toolkit which follows this direct read translation approach in its processing of SAM files. We test samReporter on a deep sequencing dataset obtained from a cohort of 241 UK HCV patients for whom prior treatment with direct-acting antivirals has failed; deep sequencing and resistance testing have been suggested to be of clinical use in this context. We compared the polymorphism interpretation results of the samReporter against an approach that does not preserve per-read linkage. We found that the samReporter was able to properly interpret the sequence data at resistance-associated locations in nine patients where the alternative approach was equivocal. In three cases, the samReporter confirmed that resistance or an atypical substitution was present at NS5A position 30. In three further cases, it confirmed that the sofosbuvir-resistant NS5B substitution S282T was absent. This suggests the direct read translation approach implemented is of value for interpreting viral deep sequencing data.
Collapse
Affiliation(s)
- Joshua B Singer
- MRC-University of Glasgow Centre for Virus Research, Glasgow G61 1QH, UK.
| | - Emma C Thomson
- MRC-University of Glasgow Centre for Virus Research, Glasgow G61 1QH, UK.
| | - Joseph Hughes
- MRC-University of Glasgow Centre for Virus Research, Glasgow G61 1QH, UK.
| | | | - John McLauchlan
- MRC-University of Glasgow Centre for Virus Research, Glasgow G61 1QH, UK.
| | | | - Lily Tong
- MRC-University of Glasgow Centre for Virus Research, Glasgow G61 1QH, UK.
| | - Carmen F Manso
- Virus Reference Department, National Infection Service, Public Health England, Colindale, London NW9 5EQ, UK.
| | - Robert J Gifford
- MRC-University of Glasgow Centre for Virus Research, Glasgow G61 1QH, UK.
| | - David L Robertson
- MRC-University of Glasgow Centre for Virus Research, Glasgow G61 1QH, UK.
| | - Eleanor Barnes
- Peter Medawar Building for Pathogen Research, Nuffield Department of Medicine, University of Oxford, Oxford OX1 3SY, UK.
| | - M Azim Ansari
- Peter Medawar Building for Pathogen Research, Nuffield Department of Medicine, University of Oxford, Oxford OX1 3SY, UK.
| | - Jean L Mbisa
- Virus Reference Department, National Infection Service, Public Health England, Colindale, London NW9 5EQ, UK.
| | - David F Bibby
- Virus Reference Department, National Infection Service, Public Health England, Colindale, London NW9 5EQ, UK.
| | - Daniel Bradshaw
- Virus Reference Department, National Infection Service, Public Health England, Colindale, London NW9 5EQ, UK.
| | - David Smith
- Peter Medawar Building for Pathogen Research, Nuffield Department of Medicine, University of Oxford, Oxford OX1 3SY, UK.
| |
Collapse
|
34
|
Morazzani EM, Compton JR, Leary DH, Berry AV, Hu X, Marugan JJ, Glass PJ, Legler PM. Proteolytic cleavage of host proteins by the Group IV viral proteases of Venezuelan equine encephalitis virus and Zika virus. Antiviral Res 2019; 164:106-122. [PMID: 30742841 DOI: 10.1016/j.antiviral.2019.02.001] [Citation(s) in RCA: 17] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2018] [Revised: 01/13/2019] [Accepted: 02/01/2019] [Indexed: 12/12/2022]
Abstract
The alphaviral nonstructural protein 2 (nsP2) cysteine proteases (EC 3.4.22.-) are essential for the proteolytic processing of the nonstructural (ns) polyprotein and are validated drug targets. A common secondary role of these proteases is to antagonize the effects of interferon (IFN). After delineating the cleavage site motif of the Venezuelan equine encephalitis virus (VEEV) nsP2 cysteine protease, we searched the human genome to identify host protein substrates. Here we identify a new host substrate of the VEEV nsP2 protease, human TRIM14, a component of the mitochondrial antiviral-signaling protein (MAVS) signalosome. Short stretches of homologous host-pathogen protein sequences (SSHHPS) are present in the nonstructural polyprotein and TRIM14. A 25-residue cyan-yellow fluorescent protein TRIM14 substrate was cleaved in vitro by the VEEV nsP2 protease and the cleavage site was confirmed by tandem mass spectrometry. A TRIM14 cleavage product also was found in VEEV-infected cell lysates. At least ten other Group IV (+)ssRNA viral proteases have been shown to cleave host proteins involved in generating the innate immune responses against viruses, suggesting that the integration of these short host protein sequences into the viral protease cleavage sites may represent an embedded mechanism of IFN antagonism. This interference mechanism shows several parallels with those of CRISPR/Cas9 and RNAi/RISC, but with a protease recognizing a protein sequence common to both the host and pathogen. The short host sequences embedded within the viral genome appear to be analogous to the short phage sequences found in a host's CRISPR spacer sequences. To test this algorithm, we applied it to another Group IV virus, Zika virus (ZIKV), and identified cleavage sites within human SFRP1 (secreted frizzled related protein 1), a retinal Gs alpha subunit, NT5M, and Forkhead box protein G1 (FOXG1) in vitro. Proteolytic cleavage of these proteins suggests a possible link between the protease and the virus-induced phenotype of ZIKV. The algorithm may have value for selecting cell lines and animal models that recapitulate virus-induced phenotypes, predicting host-range and susceptibility, selecting oncolytic viruses, identifying biomarkers, and de-risking live virus vaccines. Inhibitors of the proteases that utilize this mechanism may both inhibit viral replication and alleviate suppression of the innate immune responses.
Collapse
Affiliation(s)
- Elaine M Morazzani
- United States Army Medical Research Institute of Infectious Diseases, Frederick, MD 21702, USA
| | - Jaimee R Compton
- Center for Bio/molecular Science and Engineering, U.S. Naval Research Laboratory, Washington, DC 20375, USA
| | - Dagmar H Leary
- Center for Bio/molecular Science and Engineering, U.S. Naval Research Laboratory, Washington, DC 20375, USA
| | | | - Xin Hu
- NIH Chemical Genomics Center, National Center for Advancing Translational Sciences, Rockville, MD 20850, USA
| | - Juan J Marugan
- NIH Chemical Genomics Center, National Center for Advancing Translational Sciences, Rockville, MD 20850, USA
| | - Pamela J Glass
- United States Army Medical Research Institute of Infectious Diseases, Frederick, MD 21702, USA
| | - Patricia M Legler
- Center for Bio/molecular Science and Engineering, U.S. Naval Research Laboratory, Washington, DC 20375, USA.
| |
Collapse
|
35
|
Desirò D, Hölzer M, Ibrahim B, Marz M. SilentMutations (SIM): A tool for analyzing long-range RNA-RNA interactions in viral genomes and structured RNAs. Virus Res 2019; 260:135-141. [PMID: 30439394 PMCID: PMC7172452 DOI: 10.1016/j.virusres.2018.11.005] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2018] [Revised: 10/30/2018] [Accepted: 11/09/2018] [Indexed: 01/28/2023]
Abstract
We developed a tool to analyze the effect of multiple point mutations on the secondary structures of two interacting viral RNAs. Our tool simulates destructive and compensatory mutants of two key regions from a single-stranded RNA. The simulated mutants can be utilized for the combinatorial in vitro analysis of RNA–RNA interactions. We predicted potential mutants for in vitro validation experiments of influenza A virus and hepatitis C virus interactions.
A single nucleotide change in the coding region can alter the amino acid sequence of a protein. In consequence, natural or artificial sequence changes in viral RNAs may have various effects not only on protein stability, function and structure but also on viral replication. In recent decades, several tools have been developed to predict the effect of mutations in structured RNAs such as viral genomes or non-coding RNAs. Some tools use multiple point mutations and also take coding regions into account. However, none of these tools was designed to specifically simulate the effect of mutations on viral long-range interactions. Here, we developed SilentMutations (SIM), an easy-to-use tool to analyze the effect of multiple point mutations on the secondary structures of two interacting viral RNAs. The tool can simulate disruptive and compensatory mutants of two interacting single-stranded RNAs. This allows a fast and accurate assessment of key regions potentially involved in functional long-range RNA–RNA interactions and will eventually help virologists and RNA-experts to design appropriate experiments. SIM only requires two interacting single-stranded RNA regions as input. The output is a plain text file containing the most promising mutants and a graphical representation of all interactions. We applied our tool on two experimentally validated influenza A virus and hepatitis C virus interactions and we were able to predict potential double mutants for in vitro validation experiments. The source code and documentation of SIM are freely available at github.com/desiro/silentMutations.
Collapse
Affiliation(s)
- Daniel Desirò
- European Virus Bioinformatics Center, Jena, Germany; RNA Bioinformatics and High-Throughput Analysis, Friedrich Schiller University, Jena, Germany
| | - Martin Hölzer
- European Virus Bioinformatics Center, Jena, Germany; RNA Bioinformatics and High-Throughput Analysis, Friedrich Schiller University, Jena, Germany
| | - Bashar Ibrahim
- European Virus Bioinformatics Center, Jena, Germany; Chair of Bioinformatics, Matthias Schleiden Institute, Friedrich Schiller University, Jena, Germany
| | - Manja Marz
- European Virus Bioinformatics Center, Jena, Germany; RNA Bioinformatics and High-Throughput Analysis, Friedrich Schiller University, Jena, Germany; Leibniz Institute for Age Research-Fritz Lipmann Institute, Jena, Germany.
| |
Collapse
|
36
|
Ashraf U, Benoit-Pilven C, Lacroix V, Navratil V, Naffakh N. Advances in Analyzing Virus-Induced Alterations of Host Cell Splicing. Trends Microbiol 2018; 27:268-281. [PMID: 30577974 DOI: 10.1016/j.tim.2018.11.004] [Citation(s) in RCA: 41] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/17/2018] [Revised: 10/19/2018] [Accepted: 11/09/2018] [Indexed: 12/14/2022]
Abstract
Alteration of host cell splicing is a common feature of many viral infections which is underappreciated because of the complexity and technical difficulty of studying alternative splicing (AS) regulation. Recent advances in RNA sequencing technologies revealed that up to several hundreds of host genes can show altered mRNA splicing upon viral infection. The observed changes in AS events can be either a direct consequence of viral manipulation of the host splicing machinery or result indirectly from the virus-induced innate immune response or cellular damage. Analysis at a higher resolution with single-cell RNAseq, and at a higher scale with the integration of multiple omics data sets in a systems biology perspective, will be needed to further comprehend this complex facet of virus-host interactions.
Collapse
Affiliation(s)
- Usama Ashraf
- Institut Pasteur, Unité de Génétique Moléculaire des Virus à ARN, Département de Virologie, F-75015 Paris, France; CNRS UMR3569, F-75015 Paris, France; Université Paris Diderot, Sorbonne Paris Cité EA302, F-75015 Paris, France
| | - Clara Benoit-Pilven
- INSERM U1028; CNRS UMR5292, Lyon Neuroscience Research Center, Genetic of Neuro-development Anomalies Team, F-69000 Lyon, France; Université Claude Bernard Lyon 1, CNRS UMR5558, Laboratoire de Biométrie et Biologie Evolutive, F-69622 Villeurbanne, France; EPI ERABLE, INRIA Grenoble Rhône-Alpes, F-38330 Montbonnot Saint-Martin, France
| | - Vincent Lacroix
- Université Claude Bernard Lyon 1, CNRS UMR5558, Laboratoire de Biométrie et Biologie Evolutive, F-69622 Villeurbanne, France; EPI ERABLE, INRIA Grenoble Rhône-Alpes, F-38330 Montbonnot Saint-Martin, France
| | - Vincent Navratil
- PRABI, Rhône Alpes Bioinformatics Center, UCBL, Université Claude Bernard Lyon 1, F-69000 Lyon, France; European Virus Bioinformatics Center, Leutragraben 1, D-07743 Jena, Germany
| | - Nadia Naffakh
- Institut Pasteur, Unité de Génétique Moléculaire des Virus à ARN, Département de Virologie, F-75015 Paris, France; CNRS UMR3569, F-75015 Paris, France; Université Paris Diderot, Sorbonne Paris Cité EA302, F-75015 Paris, France.
| |
Collapse
|
37
|
Ibrahim B, Arkhipova K, Andeweg AC, Posada-Céspedes S, Enault F, Gruber A, Koonin EV, Kupczok A, Lemey P, McHardy AC, McMahon DP, Pickett BE, Robertson DL, Scheuermann RH, Zhernakova A, Zwart MP, Schönhuth A, Dutilh BE, Marz M. Bioinformatics Meets Virology: The European Virus Bioinformatics Center's Second Annual Meeting. Viruses 2018; 10:E256. [PMID: 29757994 PMCID: PMC5977249 DOI: 10.3390/v10050256] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2018] [Revised: 05/11/2018] [Accepted: 05/11/2018] [Indexed: 11/16/2022] Open
Abstract
The Second Annual Meeting of the European Virus Bioinformatics Center (EVBC), held in Utrecht, Netherlands, focused on computational approaches in virology, with topics including (but not limited to) virus discovery, diagnostics, (meta-)genomics, modeling, epidemiology, molecular structure, evolution, and viral ecology. The goals of the Second Annual Meeting were threefold: (i) to bring together virologists and bioinformaticians from across the academic, industrial, professional, and training sectors to share best practice; (ii) to provide a meaningful and interactive scientific environment to promote discussion and collaboration between students, postdoctoral fellows, and both new and established investigators; (iii) to inspire and suggest new research directions and questions. Approximately 120 researchers from around the world attended the Second Annual Meeting of the EVBC this year, including 15 renowned international speakers. This report presents an overview of new developments and novel research findings that emerged during the meeting.
Collapse
Affiliation(s)
- Bashar Ibrahim
- European Virus Bioinformatics Center, 07743 Jena, Germany.
- Faculty of Mathematics and Computer Science, Friedrich Schiller University Jena, 07743 Jena, Germany.
| | - Ksenia Arkhipova
- Theoretical Biology and Bioinformatics, Utrecht University, 3508 TC Utrecht, The Netherlands.
| | - Arno C Andeweg
- European Virus Bioinformatics Center, 07743 Jena, Germany.
- Department of Viroscience, Erasmus Medical Center, 3015 GD Rotterdam, The Netherlands.
| | - Susana Posada-Céspedes
- Department of Biosystems Science and Engineering, ETH Zürich, 4058 Basel, Switzerland.
- SIB Swiss Institute of Bioinformatics, 4058 Basel, Switzerland.
| | - François Enault
- Université Clermont Auvergne, CNRS, LMGE, F-63000 Clermont-Ferrand, France.
| | - Arthur Gruber
- Department of Parasitology, Institute of Biomedical Sciences, University of São Paulo, 05508-000 São Paulo, Brazil.
| | - Eugene V Koonin
- National Center for Biotechnology Information, NLM, National Institutes of Health, Bethesda, MD 20894, USA.
| | - Anne Kupczok
- European Virus Bioinformatics Center, 07743 Jena, Germany.
- Institute of General Microbiology, Kiel University, 24118 Kiel, Germany.
| | - Philippe Lemey
- European Virus Bioinformatics Center, 07743 Jena, Germany.
- Clinical and Epidemiological Virology, Rega Institute, KU Leuven, University of Leuven, 3000 Leuven, Belgium.
| | - Alice C McHardy
- European Virus Bioinformatics Center, 07743 Jena, Germany.
- Department for Computational Biology of Infection Research, Helmholtz Center for Infection Research, 38124 Braunschweig, Germany.
| | - Dino P McMahon
- European Virus Bioinformatics Center, 07743 Jena, Germany.
- Institute of Biology, Free University Berlin, Schwendenerstr. 1, 14195 Berlin, Germany.
- Department for Materials and Environment, BAM Federal Institute for Materials Research and Testing, Unter den Eichen 87, 12205 Berlin, Germany.
| | - Brett E Pickett
- European Virus Bioinformatics Center, 07743 Jena, Germany.
- J. Craig Venter Institute, Rockville, MD 20850, USA.
| | - David L Robertson
- European Virus Bioinformatics Center, 07743 Jena, Germany.
- MRC-University of Glasgow Centre for Virus Research, Garscube Campus, Glasgow G61 1QH, UK.
| | - Richard H Scheuermann
- European Virus Bioinformatics Center, 07743 Jena, Germany.
- J. Craig Venter Institute, La Jolla, CA 92037, USA.
| | - Alexandra Zhernakova
- Department of Genetics, University Medical Center Groningen, 9700 RB Groningen, The Netherlands.
| | - Mark P Zwart
- Department of Microbial Ecology, Netherlands Institute of Ecology (NIOO-KNAW), 6708 PB Wageningen, The Netherlands.
| | - Alexander Schönhuth
- European Virus Bioinformatics Center, 07743 Jena, Germany.
- Theoretical Biology and Bioinformatics, Utrecht University, 3508 TC Utrecht, The Netherlands.
- Centrum Wiskunde & Informatica, Science Park 123, 1098 XG Amsterdam, The Netherlands.
| | - Bas E Dutilh
- European Virus Bioinformatics Center, 07743 Jena, Germany.
- Theoretical Biology and Bioinformatics, Utrecht University, 3508 TC Utrecht, The Netherlands.
| | - Manja Marz
- European Virus Bioinformatics Center, 07743 Jena, Germany.
- Faculty of Mathematics and Computer Science, Friedrich Schiller University Jena, 07743 Jena, Germany.
- Leibniz Institute for Age Research-Fritz Lipmann Institute, 07745 Jena, Germany.
| |
Collapse
|