Cell-Cell Communication Analysis of Cancer Organoids Using Multimodal Single-Cell PTM and RNA Profiling

研究不同类型的细胞如何合作对于我们理解健康组织和癌症等疾病至关重要。为了研究组织的功能，我们需要测量信号如何在细胞之间传递，以及这些信息如何在细胞内处理。不幸的是，目前不存在同时测量小区内和小区之间的信令的技术。我们以前开发了一种强大的技术来测量单个细胞类型内的大量信号。这些信号事件中的每一个都描述了细胞的行为方式-因此能够在不同的细胞中测量大量信号是非常令人兴奋的。不幸的是，我们的技术无法测量不同细胞之间的通信信号。最近已经表明，DNA测序技术可以适用于研究细胞之间的通信。不幸的是，这些测序技术无法测量细胞内的信号。该项目的目的是开发一种能够测量癌症单细胞内和单细胞之间信号的技术。通过将我们现有的单细胞信号传导方法与新的单细胞测序方法相结合，我们将开发一种“多模式”技术来研究不同细胞类型如何在肠癌的“微型器官”模型中进行交流。通过了解不同类型的细胞如何合作驱动肿瘤，这项工作将为治疗肠癌提供新的治疗机会。

Studying how different cell-types collaborate is essential to our understanding of healthy tissues and diseases such as cancer. To investigate how tissues function, we need to measure both how signals are transferred between cells and how that information is processed within cells. Unfortunately, no technology currently exists to simultaneously measure signalling both within and between cells. We have previously developed a powerful technology to measure lots of signals within individual cell-types. Each of these signalling events describe how the cells are behaving - so being able to measure lots of them across different cells is extremely exciting. Unfortunately, our technology cannot measure communication signals between different cells. It has recently been shown that DNA-sequencing technologies can be adapted to study communication between cells. Unfortunately, these sequencing technologies cannot measure signals inside cells. The aim of this project is to develop a technology capable of measuring signalling both within and between single-cells in cancer. By integrating our existing single-cell signalling methods with new single-cell sequencing approaches, we will develop a 'multimodal' technology to study how different cell-types communicate in 'mini-organ' models of bowel cancer. Through understanding how different cells types collaborate to drive tumours, this work will provide novel therapeutic opportunities to treat bowel cancer.