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Investigating the cross-talk between structural and immune component of human skin to understand pathogen sensing in cutaneous health and inflammation

研究人体皮肤的结构和免疫成分之间的相互作用，以了解皮肤健康和炎症中的病原体感应

基本信息

批准号：
1823761
负责人：
金额：
--
依托单位：
University of Southampton
依托单位国家：
英国
项目类别：
Studentship
财政年份：
2016
资助国家：
英国
起止时间：
2016 至无数据
项目状态：
已结题

来源：
https://gtr.ukri.org/projects?ref=studentship-1823761
关键词：
Investigating cross talk between structural

项目摘要

Skills Priority Alignment: Quantitative Biology HypothesisMolecular cross-talk between structural and immune components of the skin underpins individual differences in the pathogen sensing pathways of different inflammatory skin diseases. Aims and ObjectivesAim 1:Identify pathogen-sensing signatures in healthy skin. We will first characterise a specific pathogen-sensing signature in healthy human skin by single-cell Drop-Seq. This will provide a baseline signature that we can then track in the context of skin inflammation in order to understand the alterations and contributions of this signature to disease. Aim 2:Undertake deconvolution of whole skin transcriptome by in silico methods to identify the signature found using Drop-Seq that can be tracked in the context of different inflammatory states in the skin. High-level whole tissue analysis using the pipeline and tools developed in this project will enable re-exploration of data to determine the contribution of pathogen-sensing pathways to inflammation in the skin,Aim 3:Epigenetic modification of transcription of the bacterial sensing pathway and responses will be analysed to understand how chromatin state contributes to disease. We aim to conduct an integrated transcriptomic and epigenetic analysis of a signature identified in healthy controls then tracked in samples of inflammatory skin conditions.

技能优先级调整：定量生物学假说皮肤的结构和免疫成分之间的分子串扰支持不同炎症性皮肤病的病原体感知途径的个体差异。目的1：识别健康皮肤中的病原体传感特征。我们将首先通过单细胞Drop-Seq在健康人体皮肤中检测特定的病原体传感签名。这将提供一个基线特征，然后我们可以在皮肤炎症的背景下跟踪，以了解该特征对疾病的改变和贡献。目的2：通过计算机模拟方法对整个皮肤转录组进行解卷积，以识别使用Drop-Seq发现的特征，该特征可以在皮肤中不同炎症状态的背景下进行跟踪。使用该项目中开发的管道和工具进行高水平的全组织分析将能够重新探索数据，以确定病原体传感途径对皮肤炎症的贡献，目标3：将分析细菌传感途径和反应转录的表观遗传修饰，以了解染色质状态如何有助于疾病。我们的目标是对健康对照中识别的特征进行综合转录组学和表观遗传学分析，然后在炎症性皮肤病样本中进行跟踪。