Developing methods for multi-omic data integration and utilisation in pharmaco-genetic and -genomic analysis of drug responders and non-responders

开发多组学数据整合的方法以及在药物反应者和无反应者的药物遗传学和基因组分析中的利用

• 批准号: 1958049
• 金额: --
• 依托单位: Imperial College London
• 依托单位国家: 英国
• 项目类别: Studentship
• 财政年份: 2017
• 资助国家: 英国
• 起止时间: 2017 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=studentship-1958049
• 关键词: Developing; methods; multi; omic; data

Asthma is a chronic inflammatory disease of the airway that mostly responds to topical corticosteroids. However, 5-10% of patients have severe disease that fails to respond well to treatment. This bioinformatic project utilise multi-omic data obtained from the pan-European U-BIOPRED severe asthma cohort to investigate the role of the microbiome in directing biological processes associated with subtypes of severe asthma whilst the second project uses network fusion and other approaches to merge different omics datasets and investigate drug responses. The project will involve state-of-the-art bioinformatics approaches to analyse metagenomic, genetic, transcriptomic, proteomic and metabolomics data stored within the TransMart KM system

哮喘是一种气道慢性炎症性疾病，主要对局部皮质类固醇有反应。然而，5-10%的患者患有严重疾病，对治疗反应不佳。该生物信息学项目利用从泛欧U-BIOPRED严重哮喘队列获得的多组学数据来研究微生物组在指导与严重哮喘亚型相关的生物过程中的作用，而第二个项目使用网络融合和其他方法来合并不同的组学数据集并研究药物反应。该项目将采用最先进的生物信息学方法分析TranSmart知识管理系统中存储的宏基因组、遗传、转录组、蛋白质组和代谢组数据

项目成果

Sputum ACE2, TMPRSS2 and FURIN gene expression in severe neutrophilic asthma.

• DOI: 10.1186/s12931-020-01605-8
• 发表时间: 2021-01-07
• 期刊: Respiratory research
• 影响因子: 5.8
• 作者: Kermani NZ;Song WJ;Badi Y;Versi A;Guo Y;Sun K;Bhavsar P;Howarth P;Dahlen SE;Sterk PJ;Djukanovic R;Adcock IM;Chung KF;U-BIOPRED Consortium
• 通讯作者: U-BIOPRED Consortium

Differential mast cell activation by transcriptomic signature analysis in the U-BIOPRED severe asthma cohort

U-BIOPRED 严重哮喘队列中通过转录组特征分析区分肥大细胞激活

• DOI: 10.1183/13993003.congress-2020.3827
• 发表时间: 2020
• 作者: Tiotiu A