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一个整体的方法来理解免疫介导的炎症性疾病:生物信息工具来整合omics数据

Gonzalo Borrego-Yaniz¹, Laura C Terrón-Camero², Martin Kerick¹

¹Genetic Basis of Autoimmune Diseases Group, Institute of Parasitology and Biomedicine López-Neyra (IPBLN), CSIC, Granada, Spain.

Computational and structural biotechnology journal

|December 13, 2023

概括

整合多omics数据有助于更好地了解免疫媒介炎症疾病 (IMIDs). 先进的生物信息学工具对于分析系统性自身免疫性类风湿性疾病 (SARDs) 研究的庞大数据集至关重要.

科学领域:

免疫学和生物信息学
基因组学和计算生物学

背景情况:

免疫媒介性炎症性疾病 (IMIDs) 是复杂的,有不同的原因和症状.
在系统性自身免疫性类风湿性疾病 (SARDs) 中,Omics技术已经产生了广泛的基因组,表观基因组,转录基因组,蛋白质组和代谢组数据.

研究的目的:

审查用于分析复杂IMID数据的多组合集成工具.
探索SARDs中的omics数据的生物学相关性和临床翻译.

主要方法:

关于多经济一体化工具的文献综述.
在SARD研究中讨论多原子研究.
从公共存储库中探索omics数据.

主要成果:

多个OMC数据集成带来了挑战,但为推进IMID研究提供了巨大的潜力.
现有各种生物信息工具可以整合多样化的OMIC数据集.
SARD研究从多原子方法中受益.

结论:

多omics数据的有效整合是了解IMID和SARD的关键.
先进的生物信息化策略对于充分利用omics数据的全部潜力至关重要.
未来的研究可以利用现有的omics存储库来进一步了解IMIDs.

关键词:

生物信息学是一种生物信息学.免疫介导的炎症性疾病.整合整合整合俄米克斯 (Omics) 是一个电子游戏.

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