Accepted_test

GlucoGenes®: database of genes and proteins associated with hyperglycemia, hypoglycemia and glucose variability in diabetes

by Shishin K.S. | Lashin S.A. | Klimontov V.V. | Research Institute of Clinical and Experimental Lymphology – Branch of the Institute of Cytology and Genetics, Siberian Branch of Russian Academy of Sciences, Novosibirsk, Russia | Research Institute of Clinical and Experimental Lymphology – Branch of the Institute of Cytology and Genetics, Siberian Branch of Russian Academy of Sciences, Novosibirsk, Russia | Research Institute of Clinical and Experimental Lymphology – Branch of the Institute of Cytology and Genetics, Siberian Branch of Russian Academy of Sciences, Novosibirsk, Russia

Abstract ID: 148

Event: BGRS-abstracts

Sections: [Sym 9] Section “Molecular Pathology, Diagnostics, and Therapeutics”

Motivation and Aim: The search for genes associated with diabetes and glucose fluctuations is important for deciphering the mechanisms of diabetes development and its complications, as well as for identifying promising targets for therapy. The aim of this work was to develop a database for searching and visualizing the information on genes associated with hyperglycemia, hypoglycemia, and both.
Methods and Algorithms: The results of our previous studies that involved a bioinformatic analysis of the gene networks and text mining of PubMed-indexed publications with the use of the ANDSystem, a bioinformatic tool. REST technology was used to control access to the database. The graphical user interface was developed using Vue.js. The database is based on PostgreSQL database management system.
Results: The GlucoGenes® database includes six key tables reflecting genes and corresponding proteins, glucose metabolism disorders (hyperglycemia, hypoglycemia, and glucose variability), patterns of associations between the genes/proteins and glucose metabolism disorders, references and summary data.
It includes a catalog of diabetes-associated genes, catalog of proteins encoded by these genes, and download page. The search can be performed by gene name, NCBI gene identifier and a kind of glucose disorders. The database currently contains data on 561 genes associated with glucose disorders and 2115 records describing these relationships.
Conclusion: GlucoGenes® can be accessed at: https://glucogenes.sysbio.ru/genes. It may be used in studies of the molecular genetics of diabetes and associated diseases.