Integrating multiple complex omics datasets to understand gender and age differences in immune cell biology

整合多个复杂的组学数据集以了解免疫细胞生物学中的性别和年龄差异

• 批准号: 2242029
• 金额: --
• 依托单位: University College London
• 依托单位国家: 英国
• 项目类别: Studentship
• 财政年份: 2019
• 资助国家: 英国
• 起止时间: 2019 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=studentship-2242029
• 关键词: Integrating; multiple; complex; omics; datasets

Sex and age-based immunological differences likely contribute to variations in physiology and incidence/severity of multiple diseases. The precise factors mediating these differences likely reflect complex interactions between genes, and the environment (including hormones/lipids). We aim to understand the effect of sex and age on immunity across the lifespan. To tackle this question, we have generated a series of metabolic and transcriptomic datasets in healthy adolescents and adults. Based on these and publicly available datasets from elderly cohorts, we will develop novel advanced computational tools to efficiently integrate them and build networks implicating immune cell gene expression and circulating metabolite levels.

基于性别和年龄的免疫差异可能导致多种疾病的生理和发病率/严重程度的变化。造成这些差异的确切因素可能反映了基因和环境（包括激素/脂质）之间复杂的相互作用。我们的目标是了解性别和年龄在整个生命周期中对免疫力的影响。为了解决这个问题，我们在健康青少年和成人中生成了一系列代谢和转录组数据集。基于这些和来自老年人队列的公开可用数据集，我们将开发新的先进计算工具来有效地整合它们，并构建涉及免疫细胞基因表达和循环代谢物水平的网络。

项目成果

Unique monocyte transcriptomic profiles are associated with preclinical atherosclerosis in women with systemic lupus erythematosus (SLE)

• DOI: 10.1101/2020.08.05.20169136
• 发表时间: 2020-08
• 期刊: medRxiv
• 作者: L. Woodridge;E. Chocano;P. Ashford;G. Robinson;K. Waddington;Anisur Rahman;C. Orengo;E. Jury;I. Torra