GlucoGenes<sup>®</sup>, a database of genes and proteins associated with glucose metabolism disorders, its description and applications in bioinformatics research
Data on the genetics and molecular biology of diabetes are accumulating rapidly. This poses the challenge of creating research tools for a rapid search for, structuring and analysis of information in this field. We have developed a web resource, GlucoGenes®, which includes a database and an Internet...
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| Format: | Article |
| Language: | English |
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Siberian Branch of the Russian Academy of Sciences, Federal Research Center Institute of Cytology and Genetics, The Vavilov Society of Geneticists and Breeders
2025-01-01
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| Series: | Вавиловский журнал генетики и селекции |
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| Online Access: | https://vavilov.elpub.ru/jour/article/view/4421 |
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| author | V. V. Klimontov K. S. Shishin R. A. Ivanov M. P. Ponomarenko K. A. Zolotareva S. A. Lashin |
| author_facet | V. V. Klimontov K. S. Shishin R. A. Ivanov M. P. Ponomarenko K. A. Zolotareva S. A. Lashin |
| author_sort | V. V. Klimontov |
| collection | DOAJ |
| description | Data on the genetics and molecular biology of diabetes are accumulating rapidly. This poses the challenge of creating research tools for a rapid search for, structuring and analysis of information in this field. We have developed a web resource, GlucoGenes®, which includes a database and an Internet portal of genes and proteins associated with high glucose (hyperglycemia), low glucose (hypoglycemia), and both metabolic disorders. The data were collected using text mining of the publications indexed in PubMed and PubMed Central and analysis of gene networks associated with hyperglycemia, hypoglycemia and glucose variability performed with ANDSystems, a bioinformatics tool. GlucoGenes® is freely available at: https://glucogenes.sysbio.ru/genes/main. GlucoGenes® enables users to access and download information about genes and proteins associated with the risk of hyperglycemia and hypoglycemia, molecular regulators with hyperglycemic and antihyperglycemic activity, genes up-regulated by high glucose and/or low glucose, genes down-regulated by high glucose and/or low glucose, and molecules otherwise associated with the glucose metabolism disorders. With GlucoGenes®, an evolutionary analysis of genes associated with glucose metabolism disorders was performed. The results of the analysis revealed a significant increase (up to 40 %) in the proportion of genes with phylostratigraphic age index (PAI) values corresponding to the time of origin of multicellular organisms. Analysis of sequence conservation using the divergence index (DI) showed that most of the corresponding genes are highly conserved (DI < 0.6) or conservative (DI < 1). When analyzing single nucleotide polymorphism (SNP) in the proximal regions of promoters affecting the affinity of the TATA-binding protein, 181 SNP markers were found in the GlucoGenes® database, which can reduce (45 SNP markers) or increase (136 SNP markers) the expression of 52 genes. We believe that this resource will be a useful tool for further research in the field of molecular biology of diabetes. |
| format | Article |
| id | doaj-art-303b965508de475190f92a8a897e964a |
| institution | Kabale University |
| issn | 2500-3259 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Siberian Branch of the Russian Academy of Sciences, Federal Research Center Institute of Cytology and Genetics, The Vavilov Society of Geneticists and Breeders |
| record_format | Article |
| series | Вавиловский журнал генетики и селекции |
| spelling | doaj-art-303b965508de475190f92a8a897e964a2025-02-01T09:58:14ZengSiberian Branch of the Russian Academy of Sciences, Federal Research Center Institute of Cytology and Genetics, The Vavilov Society of Geneticists and BreedersВавиловский журнал генетики и селекции2500-32592025-01-012881008101710.18699/vjgb-24-1071534GlucoGenes<sup>®</sup>, a database of genes and proteins associated with glucose metabolism disorders, its description and applications in bioinformatics researchV. V. Klimontov0K. S. Shishin1R. A. Ivanov2M. P. Ponomarenko3K. A. Zolotareva4S. A. Lashin5Research Institute of Clinical and Experimental Lymphology – Branch of the Institute of Cytology and Genetics of the Siberian Branch of the Russian Academy of SciencesResearch Institute of Clinical and Experimental Lymphology – Branch of the Institute of Cytology and Genetics of the Siberian Branch of the Russian Academy of SciencesInstitute of Cytology and Genetics of the Siberian Branch of the Russian Academy of SciencesInstitute of Cytology and Genetics of the Siberian Branch of the Russian Academy of SciencesInstitute of Cytology and Genetics of the Siberian Branch of the Russian Academy of SciencesResearch Institute of Clinical and Experimental Lymphology – Branch of the Institute of Cytology and Genetics of the Siberian Branch of the Russian Academy of Sciences; Institute of Cytology and Genetics of the Siberian Branch of the Russian Academy of SciencesData on the genetics and molecular biology of diabetes are accumulating rapidly. This poses the challenge of creating research tools for a rapid search for, structuring and analysis of information in this field. We have developed a web resource, GlucoGenes®, which includes a database and an Internet portal of genes and proteins associated with high glucose (hyperglycemia), low glucose (hypoglycemia), and both metabolic disorders. The data were collected using text mining of the publications indexed in PubMed and PubMed Central and analysis of gene networks associated with hyperglycemia, hypoglycemia and glucose variability performed with ANDSystems, a bioinformatics tool. GlucoGenes® is freely available at: https://glucogenes.sysbio.ru/genes/main. GlucoGenes® enables users to access and download information about genes and proteins associated with the risk of hyperglycemia and hypoglycemia, molecular regulators with hyperglycemic and antihyperglycemic activity, genes up-regulated by high glucose and/or low glucose, genes down-regulated by high glucose and/or low glucose, and molecules otherwise associated with the glucose metabolism disorders. With GlucoGenes®, an evolutionary analysis of genes associated with glucose metabolism disorders was performed. The results of the analysis revealed a significant increase (up to 40 %) in the proportion of genes with phylostratigraphic age index (PAI) values corresponding to the time of origin of multicellular organisms. Analysis of sequence conservation using the divergence index (DI) showed that most of the corresponding genes are highly conserved (DI < 0.6) or conservative (DI < 1). When analyzing single nucleotide polymorphism (SNP) in the proximal regions of promoters affecting the affinity of the TATA-binding protein, 181 SNP markers were found in the GlucoGenes® database, which can reduce (45 SNP markers) or increase (136 SNP markers) the expression of 52 genes. We believe that this resource will be a useful tool for further research in the field of molecular biology of diabetes.https://vavilov.elpub.ru/jour/article/view/4421geneproteindiabetes mellitushyperglycemiahypoglycemiaglucose variabilitydatabasephylostratigraphic indexsingle nucleotide polymorphism |
| spellingShingle | V. V. Klimontov K. S. Shishin R. A. Ivanov M. P. Ponomarenko K. A. Zolotareva S. A. Lashin GlucoGenes<sup>®</sup>, a database of genes and proteins associated with glucose metabolism disorders, its description and applications in bioinformatics research Вавиловский журнал генетики и селекции gene protein diabetes mellitus hyperglycemia hypoglycemia glucose variability database phylostratigraphic index single nucleotide polymorphism |
| title | GlucoGenes<sup>®</sup>, a database of genes and proteins associated with glucose metabolism disorders, its description and applications in bioinformatics research |
| title_full | GlucoGenes<sup>®</sup>, a database of genes and proteins associated with glucose metabolism disorders, its description and applications in bioinformatics research |
| title_fullStr | GlucoGenes<sup>®</sup>, a database of genes and proteins associated with glucose metabolism disorders, its description and applications in bioinformatics research |
| title_full_unstemmed | GlucoGenes<sup>®</sup>, a database of genes and proteins associated with glucose metabolism disorders, its description and applications in bioinformatics research |
| title_short | GlucoGenes<sup>®</sup>, a database of genes and proteins associated with glucose metabolism disorders, its description and applications in bioinformatics research |
| title_sort | glucogenes sup r sup a database of genes and proteins associated with glucose metabolism disorders its description and applications in bioinformatics research |
| topic | gene protein diabetes mellitus hyperglycemia hypoglycemia glucose variability database phylostratigraphic index single nucleotide polymorphism |
| url | https://vavilov.elpub.ru/jour/article/view/4421 |
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