Cytokine coordination of collective immune responses against tumors

我们建立了细胞间通过细胞因子通讯的定量模型 在T淋巴细胞群体中。我们的目标是了解白细胞如何自我组织， 决定它们的细胞命运（例如在静止-耐受-和死亡/增殖之间 - 答复）。在基本层面上，我们开发了理论工具来分析 致密组织中T细胞应答的异质性和同步性。背景下 在研究对肿瘤的反应时，我们发现存在临界量的T细胞来驱动肿瘤排斥反应。 更多的工作正在进行，以定量地剖析T细胞如何集体决定 肿瘤排斥和肿瘤耐受之间的关系我们还在发展一个 微流体平台（与NI/UMD合作伙伴Don DeVoe合作）， 小区到小区通信的空间方面。该平台允许组装 与肿瘤细胞、T细胞和巨噬细胞的微免疫反应，以及对肿瘤细胞的免疫反应的观察。 免疫反应。该平台还被设计为允许细胞恢复到芯片外 分析（例如scRNAseq和FACS）。

We developed quantitative models of the cell-to-cell communications via cytokines amongst population of T lymphocytes. Our goal is to understand how leukocytes self-organize to decide their cell fate (e.g. between quiescence -tolerance- and death/proliferation -responses). At a fundamental level, we developed theoretical tools to analyze the heterogeneity and synchronicity of T cell responses in dense tissues. In the context of responses to tumor, we found that a critical mass of T cells existed to drive tumor rejection. Additional work is being carried out to dissect quantitatively how T cell decide collectively between tumor rejection and tumor tolerance. We also made progress in the development of a microfluidic platform (collaboration with Don DeVoe within the NI/UMD partnership) to address spatial aspects of cell-to-cell communications. This platform allows the assembly of micro-immune reactions with tumor cells, T cell and macrophages, and the observation of the ensued immune responses. The platform is also designed to allow cell recovery towards off-chip analysis (e.g. scRNAseq and FACS).