Search for New Candidate Genes Involved in the Comorbidity of Asthma and Hypertension Based on Automatic Analysis of Scientific Literature
Comorbid states of diseases significantly complicate diagnosis and treatment. Molecular mechanisms of comorbid states of asthma and hypertension are still poorly understood. Prioritization is a way for identifying genes involved in complex phenotypic traits. Existing methods of prioritization consid...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Saik Olga V. [verfasserIn] Demenkov Pavel S. [verfasserIn] Ivanisenko Timofey V. [verfasserIn] Bragina Elena Yu. [verfasserIn] Freidin Maxim B. [verfasserIn] Dosenko Victor E. [verfasserIn] Zolotareva Olga I. [verfasserIn] Choynzonov Evgeniy L. [verfasserIn] Hofestaedt Ralf [verfasserIn] Ivanisenko Vladimir A. [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2018 |
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| Schlagwörter: |
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| Übergeordnetes Werk: |
In: Journal of Integrative Bioinformatics - De Gruyter, 2018, 15(2018), 4, Seite 820-8 |
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| Übergeordnetes Werk: |
volume:15 ; year:2018 ; number:4 ; pages:820-8 |
| Links: |
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| DOI / URN: |
10.1515/jib-2018-0054 |
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| Katalog-ID: |
DOAJ054752817 |
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| 520 | |a Comorbid states of diseases significantly complicate diagnosis and treatment. Molecular mechanisms of comorbid states of asthma and hypertension are still poorly understood. Prioritization is a way for identifying genes involved in complex phenotypic traits. Existing methods of prioritization consider genetic, expression and evolutionary data, molecular-genetic networks and other. In the case of molecular-genetic networks, as a rule, protein-protein interactions and KEGG networks are used. ANDSystem allows reconstructing associative gene networks, which include more than 20 types of interactions, including protein-protein interactions, expression regulation, transport, catalysis, etc. In this work, a set of genes has been prioritized to find genes potentially involved in asthma and hypertension comorbidity. The prioritization was carried out using well-known methods (ToppGene and Endeavor) and a cross-talk centrality criterion, calculated by analysis of associative gene networks from ANDSystem. The identified genes, including IL1A, CD40LG, STAT3, IL15, FAS, APP, TLR2, C3, IL13 and CXCL10, may be involved in the molecular mechanisms of comorbid asthma/hypertension. An analysis of the dynamics of the frequency of mentioning the most priority genes in scientific publications revealed that the top 100 priority genes are significantly enriched with genes with increased positive dynamics, which may be a positive sign for further studies of these genes. | ||
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10.1515/jib-2018-0054 doi (DE-627)DOAJ054752817 (DE-599)DOAJ266128c1d0614f5caf503f640563927e DE-627 ger DE-627 rakwb eng TP248.13-248.65 Saik Olga V. verfasserin aut Search for New Candidate Genes Involved in the Comorbidity of Asthma and Hypertension Based on Automatic Analysis of Scientific Literature 2018 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Comorbid states of diseases significantly complicate diagnosis and treatment. Molecular mechanisms of comorbid states of asthma and hypertension are still poorly understood. Prioritization is a way for identifying genes involved in complex phenotypic traits. Existing methods of prioritization consider genetic, expression and evolutionary data, molecular-genetic networks and other. In the case of molecular-genetic networks, as a rule, protein-protein interactions and KEGG networks are used. ANDSystem allows reconstructing associative gene networks, which include more than 20 types of interactions, including protein-protein interactions, expression regulation, transport, catalysis, etc. In this work, a set of genes has been prioritized to find genes potentially involved in asthma and hypertension comorbidity. The prioritization was carried out using well-known methods (ToppGene and Endeavor) and a cross-talk centrality criterion, calculated by analysis of associative gene networks from ANDSystem. The identified genes, including IL1A, CD40LG, STAT3, IL15, FAS, APP, TLR2, C3, IL13 and CXCL10, may be involved in the molecular mechanisms of comorbid asthma/hypertension. An analysis of the dynamics of the frequency of mentioning the most priority genes in scientific publications revealed that the top 100 priority genes are significantly enriched with genes with increased positive dynamics, which may be a positive sign for further studies of these genes. andsystem associative gene network asthma comorbid disease dynamics of interest of genes in publications gene prioritization hypertension Biotechnology Demenkov Pavel S. verfasserin aut Ivanisenko Timofey V. verfasserin aut Bragina Elena Yu. verfasserin aut Freidin Maxim B. verfasserin aut Dosenko Victor E. verfasserin aut Zolotareva Olga I. verfasserin aut Choynzonov Evgeniy L. verfasserin aut Hofestaedt Ralf verfasserin aut Ivanisenko Vladimir A. verfasserin aut In Journal of Integrative Bioinformatics De Gruyter, 2018 15(2018), 4, Seite 820-8 (DE-627)388546603 (DE-600)2147212-9 16134516 nnns volume:15 year:2018 number:4 pages:820-8 https://doi.org/10.1515/jib-2018-0054 kostenfrei https://doaj.org/article/266128c1d0614f5caf503f640563927e kostenfrei https://doi.org/10.1515/jib-2018-0054 kostenfrei https://doaj.org/toc/1613-4516 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 15 2018 4 820-8 |
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10.1515/jib-2018-0054 doi (DE-627)DOAJ054752817 (DE-599)DOAJ266128c1d0614f5caf503f640563927e DE-627 ger DE-627 rakwb eng TP248.13-248.65 Saik Olga V. verfasserin aut Search for New Candidate Genes Involved in the Comorbidity of Asthma and Hypertension Based on Automatic Analysis of Scientific Literature 2018 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Comorbid states of diseases significantly complicate diagnosis and treatment. Molecular mechanisms of comorbid states of asthma and hypertension are still poorly understood. Prioritization is a way for identifying genes involved in complex phenotypic traits. Existing methods of prioritization consider genetic, expression and evolutionary data, molecular-genetic networks and other. In the case of molecular-genetic networks, as a rule, protein-protein interactions and KEGG networks are used. ANDSystem allows reconstructing associative gene networks, which include more than 20 types of interactions, including protein-protein interactions, expression regulation, transport, catalysis, etc. In this work, a set of genes has been prioritized to find genes potentially involved in asthma and hypertension comorbidity. The prioritization was carried out using well-known methods (ToppGene and Endeavor) and a cross-talk centrality criterion, calculated by analysis of associative gene networks from ANDSystem. The identified genes, including IL1A, CD40LG, STAT3, IL15, FAS, APP, TLR2, C3, IL13 and CXCL10, may be involved in the molecular mechanisms of comorbid asthma/hypertension. An analysis of the dynamics of the frequency of mentioning the most priority genes in scientific publications revealed that the top 100 priority genes are significantly enriched with genes with increased positive dynamics, which may be a positive sign for further studies of these genes. andsystem associative gene network asthma comorbid disease dynamics of interest of genes in publications gene prioritization hypertension Biotechnology Demenkov Pavel S. verfasserin aut Ivanisenko Timofey V. verfasserin aut Bragina Elena Yu. verfasserin aut Freidin Maxim B. verfasserin aut Dosenko Victor E. verfasserin aut Zolotareva Olga I. verfasserin aut Choynzonov Evgeniy L. verfasserin aut Hofestaedt Ralf verfasserin aut Ivanisenko Vladimir A. verfasserin aut In Journal of Integrative Bioinformatics De Gruyter, 2018 15(2018), 4, Seite 820-8 (DE-627)388546603 (DE-600)2147212-9 16134516 nnns volume:15 year:2018 number:4 pages:820-8 https://doi.org/10.1515/jib-2018-0054 kostenfrei https://doaj.org/article/266128c1d0614f5caf503f640563927e kostenfrei https://doi.org/10.1515/jib-2018-0054 kostenfrei https://doaj.org/toc/1613-4516 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 15 2018 4 820-8 |
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10.1515/jib-2018-0054 doi (DE-627)DOAJ054752817 (DE-599)DOAJ266128c1d0614f5caf503f640563927e DE-627 ger DE-627 rakwb eng TP248.13-248.65 Saik Olga V. verfasserin aut Search for New Candidate Genes Involved in the Comorbidity of Asthma and Hypertension Based on Automatic Analysis of Scientific Literature 2018 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Comorbid states of diseases significantly complicate diagnosis and treatment. Molecular mechanisms of comorbid states of asthma and hypertension are still poorly understood. Prioritization is a way for identifying genes involved in complex phenotypic traits. Existing methods of prioritization consider genetic, expression and evolutionary data, molecular-genetic networks and other. In the case of molecular-genetic networks, as a rule, protein-protein interactions and KEGG networks are used. ANDSystem allows reconstructing associative gene networks, which include more than 20 types of interactions, including protein-protein interactions, expression regulation, transport, catalysis, etc. In this work, a set of genes has been prioritized to find genes potentially involved in asthma and hypertension comorbidity. The prioritization was carried out using well-known methods (ToppGene and Endeavor) and a cross-talk centrality criterion, calculated by analysis of associative gene networks from ANDSystem. The identified genes, including IL1A, CD40LG, STAT3, IL15, FAS, APP, TLR2, C3, IL13 and CXCL10, may be involved in the molecular mechanisms of comorbid asthma/hypertension. An analysis of the dynamics of the frequency of mentioning the most priority genes in scientific publications revealed that the top 100 priority genes are significantly enriched with genes with increased positive dynamics, which may be a positive sign for further studies of these genes. andsystem associative gene network asthma comorbid disease dynamics of interest of genes in publications gene prioritization hypertension Biotechnology Demenkov Pavel S. verfasserin aut Ivanisenko Timofey V. verfasserin aut Bragina Elena Yu. verfasserin aut Freidin Maxim B. verfasserin aut Dosenko Victor E. verfasserin aut Zolotareva Olga I. verfasserin aut Choynzonov Evgeniy L. verfasserin aut Hofestaedt Ralf verfasserin aut Ivanisenko Vladimir A. verfasserin aut In Journal of Integrative Bioinformatics De Gruyter, 2018 15(2018), 4, Seite 820-8 (DE-627)388546603 (DE-600)2147212-9 16134516 nnns volume:15 year:2018 number:4 pages:820-8 https://doi.org/10.1515/jib-2018-0054 kostenfrei https://doaj.org/article/266128c1d0614f5caf503f640563927e kostenfrei https://doi.org/10.1515/jib-2018-0054 kostenfrei https://doaj.org/toc/1613-4516 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 15 2018 4 820-8 |
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10.1515/jib-2018-0054 doi (DE-627)DOAJ054752817 (DE-599)DOAJ266128c1d0614f5caf503f640563927e DE-627 ger DE-627 rakwb eng TP248.13-248.65 Saik Olga V. verfasserin aut Search for New Candidate Genes Involved in the Comorbidity of Asthma and Hypertension Based on Automatic Analysis of Scientific Literature 2018 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Comorbid states of diseases significantly complicate diagnosis and treatment. Molecular mechanisms of comorbid states of asthma and hypertension are still poorly understood. Prioritization is a way for identifying genes involved in complex phenotypic traits. Existing methods of prioritization consider genetic, expression and evolutionary data, molecular-genetic networks and other. In the case of molecular-genetic networks, as a rule, protein-protein interactions and KEGG networks are used. ANDSystem allows reconstructing associative gene networks, which include more than 20 types of interactions, including protein-protein interactions, expression regulation, transport, catalysis, etc. In this work, a set of genes has been prioritized to find genes potentially involved in asthma and hypertension comorbidity. The prioritization was carried out using well-known methods (ToppGene and Endeavor) and a cross-talk centrality criterion, calculated by analysis of associative gene networks from ANDSystem. The identified genes, including IL1A, CD40LG, STAT3, IL15, FAS, APP, TLR2, C3, IL13 and CXCL10, may be involved in the molecular mechanisms of comorbid asthma/hypertension. An analysis of the dynamics of the frequency of mentioning the most priority genes in scientific publications revealed that the top 100 priority genes are significantly enriched with genes with increased positive dynamics, which may be a positive sign for further studies of these genes. andsystem associative gene network asthma comorbid disease dynamics of interest of genes in publications gene prioritization hypertension Biotechnology Demenkov Pavel S. verfasserin aut Ivanisenko Timofey V. verfasserin aut Bragina Elena Yu. verfasserin aut Freidin Maxim B. verfasserin aut Dosenko Victor E. verfasserin aut Zolotareva Olga I. verfasserin aut Choynzonov Evgeniy L. verfasserin aut Hofestaedt Ralf verfasserin aut Ivanisenko Vladimir A. verfasserin aut In Journal of Integrative Bioinformatics De Gruyter, 2018 15(2018), 4, Seite 820-8 (DE-627)388546603 (DE-600)2147212-9 16134516 nnns volume:15 year:2018 number:4 pages:820-8 https://doi.org/10.1515/jib-2018-0054 kostenfrei https://doaj.org/article/266128c1d0614f5caf503f640563927e kostenfrei https://doi.org/10.1515/jib-2018-0054 kostenfrei https://doaj.org/toc/1613-4516 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 15 2018 4 820-8 |
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Search for New Candidate Genes Involved in the Comorbidity of Asthma and Hypertension Based on Automatic Analysis of Scientific Literature |
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Comorbid states of diseases significantly complicate diagnosis and treatment. Molecular mechanisms of comorbid states of asthma and hypertension are still poorly understood. Prioritization is a way for identifying genes involved in complex phenotypic traits. Existing methods of prioritization consider genetic, expression and evolutionary data, molecular-genetic networks and other. In the case of molecular-genetic networks, as a rule, protein-protein interactions and KEGG networks are used. ANDSystem allows reconstructing associative gene networks, which include more than 20 types of interactions, including protein-protein interactions, expression regulation, transport, catalysis, etc. In this work, a set of genes has been prioritized to find genes potentially involved in asthma and hypertension comorbidity. The prioritization was carried out using well-known methods (ToppGene and Endeavor) and a cross-talk centrality criterion, calculated by analysis of associative gene networks from ANDSystem. The identified genes, including IL1A, CD40LG, STAT3, IL15, FAS, APP, TLR2, C3, IL13 and CXCL10, may be involved in the molecular mechanisms of comorbid asthma/hypertension. An analysis of the dynamics of the frequency of mentioning the most priority genes in scientific publications revealed that the top 100 priority genes are significantly enriched with genes with increased positive dynamics, which may be a positive sign for further studies of these genes. |
| abstractGer |
Comorbid states of diseases significantly complicate diagnosis and treatment. Molecular mechanisms of comorbid states of asthma and hypertension are still poorly understood. Prioritization is a way for identifying genes involved in complex phenotypic traits. Existing methods of prioritization consider genetic, expression and evolutionary data, molecular-genetic networks and other. In the case of molecular-genetic networks, as a rule, protein-protein interactions and KEGG networks are used. ANDSystem allows reconstructing associative gene networks, which include more than 20 types of interactions, including protein-protein interactions, expression regulation, transport, catalysis, etc. In this work, a set of genes has been prioritized to find genes potentially involved in asthma and hypertension comorbidity. The prioritization was carried out using well-known methods (ToppGene and Endeavor) and a cross-talk centrality criterion, calculated by analysis of associative gene networks from ANDSystem. The identified genes, including IL1A, CD40LG, STAT3, IL15, FAS, APP, TLR2, C3, IL13 and CXCL10, may be involved in the molecular mechanisms of comorbid asthma/hypertension. An analysis of the dynamics of the frequency of mentioning the most priority genes in scientific publications revealed that the top 100 priority genes are significantly enriched with genes with increased positive dynamics, which may be a positive sign for further studies of these genes. |
| abstract_unstemmed |
Comorbid states of diseases significantly complicate diagnosis and treatment. Molecular mechanisms of comorbid states of asthma and hypertension are still poorly understood. Prioritization is a way for identifying genes involved in complex phenotypic traits. Existing methods of prioritization consider genetic, expression and evolutionary data, molecular-genetic networks and other. In the case of molecular-genetic networks, as a rule, protein-protein interactions and KEGG networks are used. ANDSystem allows reconstructing associative gene networks, which include more than 20 types of interactions, including protein-protein interactions, expression regulation, transport, catalysis, etc. In this work, a set of genes has been prioritized to find genes potentially involved in asthma and hypertension comorbidity. The prioritization was carried out using well-known methods (ToppGene and Endeavor) and a cross-talk centrality criterion, calculated by analysis of associative gene networks from ANDSystem. The identified genes, including IL1A, CD40LG, STAT3, IL15, FAS, APP, TLR2, C3, IL13 and CXCL10, may be involved in the molecular mechanisms of comorbid asthma/hypertension. An analysis of the dynamics of the frequency of mentioning the most priority genes in scientific publications revealed that the top 100 priority genes are significantly enriched with genes with increased positive dynamics, which may be a positive sign for further studies of these genes. |
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| title_short |
Search for New Candidate Genes Involved in the Comorbidity of Asthma and Hypertension Based on Automatic Analysis of Scientific Literature |
| url |
https://doi.org/10.1515/jib-2018-0054 https://doaj.org/article/266128c1d0614f5caf503f640563927e https://doaj.org/toc/1613-4516 |
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| author2 |
Demenkov Pavel S. Ivanisenko Timofey V. Bragina Elena Yu Freidin Maxim B. Dosenko Victor E. Zolotareva Olga I. Choynzonov Evgeniy L. Hofestaedt Ralf Ivanisenko Vladimir A. |
| author2Str |
Demenkov Pavel S. Ivanisenko Timofey V. Bragina Elena Yu Freidin Maxim B. Dosenko Victor E. Zolotareva Olga I. Choynzonov Evgeniy L. Hofestaedt Ralf Ivanisenko Vladimir A. |
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10.1515/jib-2018-0054 |
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2024-07-04T00:27:43.390Z |
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