Computational systems biology for pneumonia vaccine development using human challenge models

该项目包括收集在独特的实验性人类肺炎球菌挑战模型（EHPC）背景下收集的临床样本，在该模型中，志愿者安全地感染活肺炎球菌。收集的样本包括定植前后鼻腔和血液的序列转录组学数据、细胞因子水平和免疫表型数据。学生将在Daniela Ferreira和Helder Nakaya的指导下发展系统免疫学和人类感染挑战模型领域的技能。最先进的计算工具将使用这个高维数据集来识别防止殖民化的保护签名。

Project involves collecting clinical samples collected in the context of a unique Experimental Human Pneumococcal Challenge model (EHPC), in which volunteers are safely infected with live pneumococcus. Collected samples include serial transcriptomics data, cytokine levels and immunophenotyping data from the nose and blood before and after colonization. Student to develop skills in the field of systems immunology and human infection challenge models under the supervision of Daniela Ferreira and Helder Nakaya. State-of-the-art computational tools will be applied to identify signatures of protection against colonization using this high-dimensional dataset.