GlucoGenes®,与葡萄糖代谢障碍相关的基因和蛋白质的数据库,其描述和生物信息学研究中的应用
V V Klimontov1, K S Shishin1, R A Ivanov2
1Research Institute of Clinical and Experimental Lymphology - Branch of the Institute of Cytology and Genetics of the Siberian Branch of the Russian Academy of Sciences, Novosibirsk, Russia.
Vavilovskii zhurnal genetiki i selektsii
|February 13, 2025
概括
研究人员开发了GlucoGenes®,这是糖尿病遗传学和分子生物学的网络资源. 该工具有助于搜索,结构化和分析与高血糖和低血糖相关的基因数据,支持糖尿病研究.
科学领域:
- 遗传学和分子生物学
- 生物信息学是一种生物信息学.
- 计算生物学 计算生物学
背景情况:
- 糖尿病遗传学和分子生物学数据的快速积累需要先进的研究工具.
- 现有的工具可能无法充分支持与葡萄糖代谢障碍相关的复杂遗传和蛋白质信息的快速搜索,结构和分析.
研究的目的:
- 开发和介绍GlucoGenes®,这是一个全面的网络资源,用于参与高血糖和低血糖的基因和蛋白质.
- 促进对糖尿病和葡萄糖代谢障碍相关的遗传和分子数据的分析.
主要方法:
- 利用PubMed和PubMed中央出版物的文本挖掘来收集数据.
- 使用ANDSystems生物信息学工具分析与葡萄糖代谢相关的基因网络.
- 开发了一个名为GlucoGenes®的网络资源 (数据库和互联网门户网站).
主要成果:
- GlucoGenes®提供了与高血糖和低血糖风险相关的基因和蛋白质及其调节者的信息.
- 在GlucoGenes®的进化分析中,发现大量的基因来源于多细胞生物.
- 序列保存分析表明大多数相关基因的高保存率,并确定了影响基因表达的181个单核酸多态 (SNP) 标志物.
结论:
- 葡萄糖基因 (GlucoGenes®) 作为一种有价值的研究工具,用于探索糖尿病的分子生物学.
- 该资源有助于了解葡萄糖代谢障碍的遗传基础和进化史.
- 已识别的SNP标志物为糖尿病相关途径中的基因表达调节提供了潜在的见解.
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