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Yuan Y, Zhu H, Huang S, Zhang Y, Shen Y. Establishment of a diagnostic model based on immune-related genes in children with asthma. Heliyon 2024; 10:e25735. [PMID: 38375253 PMCID: PMC10875436 DOI: 10.1016/j.heliyon.2024.e25735] [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: 10/15/2023] [Revised: 01/31/2024] [Accepted: 02/01/2024] [Indexed: 02/21/2024] Open
Abstract
Objective Allergic asthma is driven by an antigen-specific immune response. This study aimed to identify immune-related differentially expressed genes in childhood asthma and establish a classification diagnostic model based on these genes. Methods GSE65204 and GSE19187 were downloaded and served as training set and validation set. The immune cell composition was evaluated with ssGSEA algorithm based on the immune-related gene set. Modules that significantly related to the asthma were selected by WGCNA algorithm. The immune-related differentially expressed genes (DE-IRGs) were screened, the protein-protein interaction network and diagnostic model of DE-IRGs was constructed. The pathway and immune correlation analysis of hub DE-IRGs was analyzed. Results Eight immune cell types exhibited varying levels of abundance between the asthma and control groups. A total of 112 differentially expressed immune-related genes (DE-IRGs) was identified. Through the application of four ranking methods (MCC, MNC, DEGREE, and EPC), 17 hub DE-IRGs with overlapping significance were further selected. Subsequently, 8 optimized were identified using univariate logistic regression analysis and the LASSO regression algorithm, based on which a robust diagnostic model was constructed. Notably, TNF and CD40LG emerged as direct participants in asthma-related signaling pathways, displaying a positive correlation with the immune cell types of immature B cells, activated B cells, activated CD8 T cells, activated CD4 T cells, and myeloid-derived suppressor cells. Conclusion The diagnostic model constructed using the DE-IRGs (CCL5, CCR5, CD40LG, CD8A, IL2RB, PDCD1, TNF, and ZAP70) exhibited high and specific diagnostic value for childhood asthma. The diagnostic model may contribute to the diagnosis of childhood asthma.
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Affiliation(s)
- Yuyun Yuan
- Department of Pediatrics, Shanghai Baoshan Hospital of Integrated Traditional Chinese and Western Medicine, Shanghai, 201999, China
| | - Honghua Zhu
- Department of Medical Imaging, Shanghai Seventh People's Hospital, Shanghai, 200137, China
| | - Sihong Huang
- Department of Pediatrics, Shanghai Baoshan Hospital of Integrated Traditional Chinese and Western Medicine, Shanghai, 201999, China
| | - Yantao Zhang
- Department of Pediatrics, Shanghai Baoshan Hospital of Integrated Traditional Chinese and Western Medicine, Shanghai, 201999, China
| | - Yiyun Shen
- Department of Pediatrics, Shanghai Baoshan Hospital of Integrated Traditional Chinese and Western Medicine, Shanghai, 201999, China
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2
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Demenkov PS, Antropova EA, Adamovskaya AV, Mishchenko EL, Khlebodarova TM, Ivanisenko TV, Ivanisenko NV, Venzel AS, Lavrik IN, Ivanisenko VA. Prioritization of potential pharmacological targets for the development of anti-hepatocarcinoma drugs modulating the extrinsic apoptosis pathway: the reconstruction and analysis of associative gene networks help. Vavilovskii Zhurnal Genet Selektsii 2023; 27:784-793. [PMID: 38213696 PMCID: PMC10777304 DOI: 10.18699/vjgb-23-91] [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: 07/26/2023] [Revised: 08/25/2023] [Accepted: 08/28/2023] [Indexed: 01/13/2024] Open
Abstract
Hepatocellular carcinoma (HCC) is a common severe type of liver cancer characterized by an extremely aggressive course and low survival rates. It is known that disruptions in the regulation of apoptosis activation are some of the key features inherent in most cancer cells, which determines the pharmacological induction of apoptosis as an important strategy for cancer therapy. The computer design of chemical compounds capable of specifically regulating the external signaling pathway of apoptosis induction represents a promising approach for creating new effective ways of therapy for liver cancer and other oncological diseases. However, at present, most of the studies are devoted to pharmacological effects on the internal (mitochondrial) apoptosis pathway. In contrast, the external pathway induced via cell death receptors remains out of focus. Aberrant gene methylation, along with hepatitis C virus (HCV) infection, are important risk factors for the development of hepatocellular carcinoma. The reconstruction of gene networks describing the molecular mechanisms of interaction of aberrantly methylated genes with key participants of the extrinsic apoptosis pathway and their regulation by HCV proteins can provide important information when searching for pharmacological targets. In the present study, 13 criteria were proposed for prioritizing potential pharmacological targets for developing anti-hepatocarcinoma drugs modulating the extrinsic apoptosis pathway. The criteria are based on indicators of the structural and functional organization of reconstructed gene networks of hepatocarcinoma, the extrinsic apoptosis pathway, and regulatory pathways of virus-extrinsic apoptosis pathway interaction and aberrant gene methylation-extrinsic apoptosis pathway interaction using ANDSystem. The list of the top 100 gene targets ranked according to the prioritization rating was statistically significantly (p-value = 0.0002) enriched for known pharmacological targets approved by the FDA, indicating the correctness of the prioritization method. Among the promising potential pharmacological targets, six highly ranked genes (JUN, IL10, STAT3, MYC, TLR4, and KHDRBS1) are likely to deserve close attention.
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Affiliation(s)
- P S Demenkov
- Institute of Cytology and Genetics of the Siberian Branch of the Russian Academy of Sciences, Novosibirsk, Russia Kurchatov Genomic Center of ICG SB RAS, Novosibirsk, Russia Novosibirsk State University, Novosibirsk, Russia
| | - E A Antropova
- Institute of Cytology and Genetics of the Siberian Branch of the Russian Academy of Sciences, Novosibirsk, Russia
| | - A V Adamovskaya
- Institute of Cytology and Genetics of the Siberian Branch of the Russian Academy of Sciences, Novosibirsk, Russia Novosibirsk State University, Novosibirsk, Russia
| | - E L Mishchenko
- Institute of Cytology and Genetics of the Siberian Branch of the Russian Academy of Sciences, Novosibirsk, Russia Kurchatov Genomic Center of ICG SB RAS, Novosibirsk, Russia
| | - T M Khlebodarova
- Institute of Cytology and Genetics of the Siberian Branch of the Russian Academy of Sciences, Novosibirsk, Russia Kurchatov Genomic Center of ICG SB RAS, Novosibirsk, Russia
| | - T V Ivanisenko
- Institute of Cytology and Genetics of the Siberian Branch of the Russian Academy of Sciences, Novosibirsk, Russia Kurchatov Genomic Center of ICG SB RAS, Novosibirsk, Russia Novosibirsk State University, Novosibirsk, Russia
| | - N V Ivanisenko
- Institute of Cytology and Genetics of the Siberian Branch of the Russian Academy of Sciences, Novosibirsk, Russia
| | - A S Venzel
- Institute of Cytology and Genetics of the Siberian Branch of the Russian Academy of Sciences, Novosibirsk, Russia Kurchatov Genomic Center of ICG SB RAS, Novosibirsk, Russia Novosibirsk State University, Novosibirsk, Russia
| | - I N Lavrik
- Medical Faculty, Otto von Guericke University Magdeburg, Magdeburg, Germany
| | - V A Ivanisenko
- Institute of Cytology and Genetics of the Siberian Branch of the Russian Academy of Sciences, Novosibirsk, Russia Kurchatov Genomic Center of ICG SB RAS, Novosibirsk, Russia Novosibirsk State University, Novosibirsk, Russia
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3
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Mishchenko EL, Makarova AA, Antropova EA, Venzel AS, Ivanisenko TV, Demenkov PS, Ivanisenko VA. Molecular-genetic pathways of hepatitis C virus regulation of the expression of cellular factors PREB and PLA2G4C, which play an important role in virus replication. Vavilovskii Zhurnal Genet Selektsii 2023; 27:776-783. [PMID: 38213698 PMCID: PMC10777288 DOI: 10.18699/vjgb-23-90] [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: 07/19/2023] [Revised: 08/27/2023] [Accepted: 08/30/2023] [Indexed: 01/13/2024] Open
Abstract
The participants of Hepatitis C virus (HCV) replication are both viral and host proteins. Therapeutic approaches based on activity inhibition of viral non-structural proteins NS3, NS5A, and NS5B are undergoing clinical trials. However, rapid mutation processes in the viral genome and acquisition of drug resistance to the existing drugs remain the main obstacles to fighting HCV. Identifying the host factors, exploring their role in HCV RNA replication, and studying viral effects on their expression is essential for understanding the mechanisms of viral replication and developing novel, effective curative approaches. It is known that the host factors PREB (prolactin regulatory element binding) and PLA2G4C (cytosolic phospholipase A2 gamma) are important for the functioning of the viral replicase complex and the formation of the platforms of HCV genome replication. The expression of PREB and PLA2G4C was significantly elevated in the presence of the HCV genome. However, the mechanisms of its regulation by HCV remain unknown. In this paper, using a text-mining technology provided by ANDSystem, we reconstructed and analyzed gene networks describing regulatory effects on the expression of PREB and PLA2G4C by HCV proteins. On the basis of the gene network analysis performed, we put forward hypotheses about the modulation of the host factors functions resulting from protein-protein interaction with HCV proteins. Among the viral proteins, NS3 showed the greatest number of regulatory linkages. We assumed that NS3 could inhibit the function of host transcription factor (TF) NOTCH1 by protein-protein interaction, leading to upregulation of PREB and PLA2G4C. Analysis of the gene networks and data on differential gene expression in HCV-infected cells allowed us to hypothesize further how HCV could regulate the expression of TFs, the binding sites of which are localized within PREB and PLA2G4C gene regions. The results obtained can be used for planning studies of the molecular-genetic mechanisms of viral-host interaction and searching for potential targets for anti-HCV therapy.
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Affiliation(s)
- E L Mishchenko
- Institute of Cytology and Genetics of the Siberian Branch of the Russian Academy of Sciences, Novosibirsk, Russia Kurchatov Genomic Center of ICG SB RAS, Novosibirsk, Russia
| | - A A Makarova
- Institute of Cytology and Genetics of the Siberian Branch of the Russian Academy of Sciences, Novosibirsk, Russia
| | - E A Antropova
- Institute of Cytology and Genetics of the Siberian Branch of the Russian Academy of Sciences, Novosibirsk, Russia
| | - A S Venzel
- Institute of Cytology and Genetics of the Siberian Branch of the Russian Academy of Sciences, Novosibirsk, Russia Kurchatov Genomic Center of ICG SB RAS, Novosibirsk, Russia
| | - T V Ivanisenko
- Institute of Cytology and Genetics of the Siberian Branch of the Russian Academy of Sciences, Novosibirsk, Russia Kurchatov Genomic Center of ICG SB RAS, Novosibirsk, Russia
| | - P S Demenkov
- Institute of Cytology and Genetics of the Siberian Branch of the Russian Academy of Sciences, Novosibirsk, Russia Kurchatov Genomic Center of ICG SB RAS, Novosibirsk, Russia Novosibirsk State University, Novosibirsk, Russia
| | - V A Ivanisenko
- Institute of Cytology and Genetics of the Siberian Branch of the Russian Academy of Sciences, Novosibirsk, Russia Kurchatov Genomic Center of ICG SB RAS, Novosibirsk, Russia Novosibirsk State University, Novosibirsk, Russia
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Liu X, Huang X, Xu F. The influence of pyroptosis-related genes on the development of chronic obstructive pulmonary disease. BMC Pulm Med 2023; 23:167. [PMID: 37194062 DOI: 10.1186/s12890-023-02408-5] [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: 12/30/2022] [Accepted: 03/31/2023] [Indexed: 05/18/2023] Open
Abstract
Increasing evidences have demonstrated that pyroptosis exerts key roles in the occurrence, development of chronic obstructive pulmonary disease. However, the mechanisms of pyroptosis in COPD remain largely unknown. In our research, Statistics were performed using R software and related packages in this study. Series matrix files of small airway epithelium samples were downloaded from the GEO database. Differential expression analysis with FDR < 0.05 was performed to identify COPD-associated pyroptosis-related genes. 8 up-regulated genes (CASP4, CASP5, CHMP7, GZMB, IL1B, AIM2, CASP6, GSDMC) and 1 down-regulated genes (PLCG1) was identified as COPD-associated pyroptosis-related genes. Twenty-six COPD key genes was identified by WGCNA analysis. PPI analysis and gene correlation analysis showed their relationship clearly. KEGG and GO analysis have revealed the main pyroptosis-related mechanism of COPD. The expression of 9 COPD-associated pyroptosis-related genes in different grades was also depicted. The immune environment of COPD was also explored. Furthermore, the relationship of pyroptosis-related genes and the expression of immune cells was also be shown in the end. In the end, we concluded that pyroptosis influences the development of COPD. This study may provide new insight into the novel therapeutic targets for COPD clinical treatment.
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Affiliation(s)
- Xinlong Liu
- Department of Intensive Care Unit, University of Chinese Academy of Sciences-Shenzhen Hospital, Shenzhen, Guangdong, China
| | - Xiaoling Huang
- Department of Intensive Care Unit, University of Chinese Academy of Sciences-Shenzhen Hospital, Shenzhen, Guangdong, China.
| | - Feng Xu
- Department of Intensive Care Unit, University of Chinese Academy of Sciences-Shenzhen Hospital, Shenzhen, Guangdong, China.
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5
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Akhmerova YN, Shpakova TA, Grammatikati KS, Mitrofanov SI, Kazakova PG, Mkrtchian AA, Zemsky PU, Pilipenko MN, Feliz NV, Frolova LV, Frolovskaya AA, Yudin VS, Keskinov AA, Kraevoy SA, Yudin SM, Skvortsova VI. Genetic Variants Associated with Bronchial Asthma Specific to the Population of the Russian Federation. Acta Naturae 2023; 15:31-41. [PMID: 37153512 PMCID: PMC10154776 DOI: 10.32607/actanaturae.11853] [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: 11/07/2022] [Accepted: 01/09/2023] [Indexed: 05/09/2023] Open
Abstract
Bronchial asthma (BA) is a disease that still lacks an exhaustive treatment protocol. In this regard, the global medical community pays special attention to the genetic prerequisites for the occurrence of this disease. Therefore, the search for the genetic polymorphisms underlying bronchial asthma has expanded considerably. As the present study progressed, a significant amount of scientific medical literature was analyzed and 167 genes reported to be associated with the development of bronchial asthma were identified. A group of participants (n = 7,303) who had voluntarily provided their biomaterial (venous blood) to be used in the research conducted by the Federal Medical Biological Agency of Russia was formed to subsequently perform a bioinformatic verification of known associations and search for new ones. This group of participants was divided into four cohorts, including two sex-distinct cohorts of individuals with a history of asthma and two sex-distinct cohorts of apparently healthy individuals. A search for polymorphisms was made in each cohort among the selected genes, and genetic variants were identified whose difference in occurrence in the different cohorts was statistically significant (significance level less than 0.0001). The study revealed 11 polymorphisms that affect the development of asthma: four genetic variants (rs869106717, rs1461555098, rs189649077, and rs1199362453), which are more common in men with bronchial asthma compared to apparently healthy men; five genetic variants (rs1923038536, rs181066119, rs143247175, rs140597386, and rs762042586), which are more common in women with bronchial asthma compared to apparently healthy women; and two genetic variants (rs1219244986 and rs2291651) that are rare in women with a history of asthma.
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Affiliation(s)
- Y. N. Akhmerova
- Federal State Budgetary Institution “Center for Strategic Planning and Management of Biomedical Health Risks” of the Federal Medical Biological Agency (Center for Strategic Planning of FMBA of Russia), Moscow, 119121 Russian Federation
| | - T. A. Shpakova
- Federal State Budgetary Institution “Center for Strategic Planning and Management of Biomedical Health Risks” of the Federal Medical Biological Agency (Center for Strategic Planning of FMBA of Russia), Moscow, 119121 Russian Federation
| | - K. S. Grammatikati
- Federal State Budgetary Institution “Center for Strategic Planning and Management of Biomedical Health Risks” of the Federal Medical Biological Agency (Center for Strategic Planning of FMBA of Russia), Moscow, 119121 Russian Federation
| | - S. I. Mitrofanov
- Federal State Budgetary Institution “Center for Strategic Planning and Management of Biomedical Health Risks” of the Federal Medical Biological Agency (Center for Strategic Planning of FMBA of Russia), Moscow, 119121 Russian Federation
| | - P. G. Kazakova
- Federal State Budgetary Institution “Center for Strategic Planning and Management of Biomedical Health Risks” of the Federal Medical Biological Agency (Center for Strategic Planning of FMBA of Russia), Moscow, 119121 Russian Federation
| | - A. A. Mkrtchian
- Federal State Budgetary Institution “Center for Strategic Planning and Management of Biomedical Health Risks” of the Federal Medical Biological Agency (Center for Strategic Planning of FMBA of Russia), Moscow, 119121 Russian Federation
| | - P. U. Zemsky
- Federal State Budgetary Institution “Center for Strategic Planning and Management of Biomedical Health Risks” of the Federal Medical Biological Agency (Center for Strategic Planning of FMBA of Russia), Moscow, 119121 Russian Federation
| | - M. N. Pilipenko
- Federal State Budgetary Institution “Center for Strategic Planning and Management of Biomedical Health Risks” of the Federal Medical Biological Agency (Center for Strategic Planning of FMBA of Russia), Moscow, 119121 Russian Federation
| | - N. V. Feliz
- Federal State Budgetary Institution “Center for Strategic Planning and Management of Biomedical Health Risks” of the Federal Medical Biological Agency (Center for Strategic Planning of FMBA of Russia), Moscow, 119121 Russian Federation
| | - L. V. Frolova
- Federal State Budgetary Institution “Center for Strategic Planning and Management of Biomedical Health Risks” of the Federal Medical Biological Agency (Center for Strategic Planning of FMBA of Russia), Moscow, 119121 Russian Federation
| | - A. A. Frolovskaya
- Federal State Budgetary Institution “Center for Strategic Planning and Management of Biomedical Health Risks” of the Federal Medical Biological Agency (Center for Strategic Planning of FMBA of Russia), Moscow, 119121 Russian Federation
| | - V. S. Yudin
- Federal State Budgetary Institution “Center for Strategic Planning and Management of Biomedical Health Risks” of the Federal Medical Biological Agency (Center for Strategic Planning of FMBA of Russia), Moscow, 119121 Russian Federation
| | - A. A. Keskinov
- Federal State Budgetary Institution “Center for Strategic Planning and Management of Biomedical Health Risks” of the Federal Medical Biological Agency (Center for Strategic Planning of FMBA of Russia), Moscow, 119121 Russian Federation
| | - S. A. Kraevoy
- Federal State Budgetary Institution “Center for Strategic Planning and Management of Biomedical Health Risks” of the Federal Medical Biological Agency (Center for Strategic Planning of FMBA of Russia), Moscow, 119121 Russian Federation
| | - S. M. Yudin
- Federal State Budgetary Institution “Center for Strategic Planning and Management of Biomedical Health Risks” of the Federal Medical Biological Agency (Center for Strategic Planning of FMBA of Russia), Moscow, 119121 Russian Federation
| | - V. I. Skvortsova
- Federal Medical Biological Agency (FMBA of Russia), Moscow, 123182 Russian Federation
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6
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Mikolajczyk TP, Szczepaniak P, Vidler F, Maffia P, Graham GJ, Guzik TJ. Role of inflammatory chemokines in hypertension. Pharmacol Ther 2020; 223:107799. [PMID: 33359600 DOI: 10.1016/j.pharmthera.2020.107799] [Citation(s) in RCA: 58] [Impact Index Per Article: 14.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2020] [Accepted: 12/11/2020] [Indexed: 02/06/2023]
Abstract
Hypertension is associated with immune cells activation and their migration into the kidney, vasculature, heart and brain. These inflammatory mechanisms are critical for blood pressure regulation and mediate target organ damage, creating unique novel targets for pharmacological modulation. In response to angiotensin II and other pro-hypertensive stimuli, the expression of several inflammatory chemokines and their receptors is increased in the target organs, mediating homing of immune cells. In this review, we summarize the contribution of key inflammatory chemokines and their receptors to increased accumulation of immune cells in target organs and effects on vascular dysfunction, remodeling, oxidative stress and fibrosis, all of which contribute to blood pressure elevation. In particular, the role of CCL2, CCL5, CXCL8, CXCL9, CXCL10, CXCL11, CXCL16, CXCL1, CX3CL1, XCL1 and their receptors in the context of hypertension is discussed. Recent studies have tested the efficacy of pharmacological or genetic targeting of chemokines and their receptors on the development of hypertension. Promising results indicate that some of these pathways may serve as future therapeutic targets to improve blood pressure control and prevent target organ consequences including kidney failure, heart failure, atherosclerosis or cognitive impairment.
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Affiliation(s)
- Tomasz P Mikolajczyk
- Department of Internal and Agricultural Medicine, Faculty of Medicine, Jagiellonian University Medical College, Krakow, Poland; Institute of Infection, Immunity and Inflammation, University of Glasgow, Glasgow, UK
| | - Piotr Szczepaniak
- Department of Internal and Agricultural Medicine, Faculty of Medicine, Jagiellonian University Medical College, Krakow, Poland
| | - Francesca Vidler
- Institute of Infection, Immunity and Inflammation, University of Glasgow, Glasgow, UK
| | - Pasquale Maffia
- Institute of Infection, Immunity and Inflammation, University of Glasgow, Glasgow, UK; BHF Centre for Excellence Institute of Cardiovascular and Medical Sciences, University of Glasgow, Glasgow, UK; Department of Pharmacy, University of Naples Federico II, Naples, Italy
| | - Gerard J Graham
- Institute of Infection, Immunity and Inflammation, University of Glasgow, Glasgow, UK
| | - Tomasz J Guzik
- Department of Internal and Agricultural Medicine, Faculty of Medicine, Jagiellonian University Medical College, Krakow, Poland; BHF Centre for Excellence Institute of Cardiovascular and Medical Sciences, University of Glasgow, Glasgow, UK.
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Zolotareva O, Saik OV, Königs C, Bragina EY, Goncharova IA, Freidin MB, Dosenko VE, Ivanisenko VA, Hofestädt R. Comorbidity of asthma and hypertension may be mediated by shared genetic dysregulation and drug side effects. Sci Rep 2019; 9:16302. [PMID: 31705029 PMCID: PMC6841742 DOI: 10.1038/s41598-019-52762-w] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2019] [Accepted: 10/22/2019] [Indexed: 02/07/2023] Open
Abstract
Asthma and hypertension are complex diseases coinciding more frequently than expected by chance. Unraveling the mechanisms of comorbidity of asthma and hypertension is necessary for choosing the most appropriate treatment plan for patients with this comorbidity. Since both diseases have a strong genetic component in this article we aimed to find and study genes simultaneously associated with asthma and hypertension. We identified 330 shared genes and found that they form six modules on the interaction network. A strong overlap between genes associated with asthma and hypertension was found on the level of eQTL regulated genes and between targets of drugs relevant for asthma and hypertension. This suggests that the phenomenon of comorbidity of asthma and hypertension may be explained by altered genetic regulation or result from drug side effects. In this work we also demonstrate that not only drug indications but also contraindications provide an important source of molecular evidence helpful to uncover disease mechanisms. These findings give a clue to the possible mechanisms of comorbidity and highlight the direction for future research.
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Affiliation(s)
- Olga Zolotareva
- Bielefeld University, International Research Training Group "Computational Methods for the Analysis of the Diversity and Dynamics of Genomes" and Genome Informatics, Faculty of Technology and Center for Biotechnology, Bielefeld, Germany.
| | - Olga V Saik
- Institute of Cytology and Genetics, Siberian Branch of Russian Academy of Sciences, Novosibirsk, Russia
| | - Cassandra Königs
- Bielefeld University, Bioinformatics and Medical Informatics Department, Bielefeld, Germany
| | - Elena Yu Bragina
- Research Institute of Medical Genetics, Tomsk NRMC, Tomsk, Russia
| | | | - Maxim B Freidin
- Research Institute of Medical Genetics, Tomsk NRMC, Tomsk, Russia
| | | | - Vladimir A Ivanisenko
- Institute of Cytology and Genetics, Siberian Branch of Russian Academy of Sciences, Novosibirsk, Russia
| | - Ralf Hofestädt
- Bielefeld University, Bioinformatics and Medical Informatics Department, Bielefeld, Germany
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Zolotareva O, Kleine M. A Survey of Gene Prioritization Tools for Mendelian and Complex Human Diseases. J Integr Bioinform 2019; 16:/j/jib.ahead-of-print/jib-2018-0069/jib-2018-0069.xml. [PMID: 31494632 PMCID: PMC7074139 DOI: 10.1515/jib-2018-0069] [Citation(s) in RCA: 21] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2018] [Accepted: 07/12/2019] [Indexed: 12/16/2022] Open
Abstract
Modern high-throughput experiments provide us with numerous potential associations between genes and diseases. Experimental validation of all the discovered associations, let alone all the possible interactions between them, is time-consuming and expensive. To facilitate the discovery of causative genes, various approaches for prioritization of genes according to their relevance for a given disease have been developed. In this article, we explain the gene prioritization problem and provide an overview of computational tools for gene prioritization. Among about a hundred of published gene prioritization tools, we select and briefly describe 14 most up-to-date and user-friendly. Also, we discuss the advantages and disadvantages of existing tools, challenges of their validation, and the directions for future research.
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Affiliation(s)
- Olga Zolotareva
- Bielefeld University, Faculty of Technology and Center for Biotechnology, International Research Training Group "Computational Methods for the Analysis of the Diversity and Dynamics of Genomes" and Genome Informatics, Universitätsstraße 25, Bielefeld, Germany
| | - Maren Kleine
- Bielefeld University, Faculty of Technology, Bioinformatics/Medical Informatics Department, Universitätsstraße 25, Bielefeld, Germany
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