A data-driven approach to controlling immune cell states for the optimisation of novel anti-cancer immunotherapeutic approaches

一种控制免疫细胞状态的数据驱动方法，用于优化新型抗癌免疫治疗方法

• 批准号: 2747661
• 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: 2022
• 资助国家: 英国
• 起止时间: 2022 至 无数据
• 项目状态: 未结题
• 来源: https://gtr.ukri.org/projects?ref=studentship-2747661
• 关键词: data; driven; approach; controlling; immune

The focus of Disha's PhD will be on 'Understanding T-cell exhaustion in the context of immunotherapy' and will play a crucial role in designing more effective immunotherapies that potentially would aid in reversing process of exhaustion. In previous literature anti-PD-1 effects are well-described, but the consequence of treatment with immunostimulatory antibodies (CD27, OX40, 4-1BB, CD40) less so. This project will combine publically available datasets and curate a T cell atlas.

Disha博士的重点将是“在免疫治疗的背景下理解T细胞耗竭”，并将在设计更有效的免疫疗法中发挥关键作用，这些免疫疗法可能有助于逆转耗竭过程。在先前的文献中，抗PD-1作用得到了充分描述，但用免疫刺激性抗体（CD 27、OX 40、4-1BB、CD 40）治疗的结果较少。该项目将联合收割机化学上可用的数据集和策划一个T细胞图谱。