Transplantation: Alloimmune Networks

描述（由申请人提供）：我们的目标是了解在移植排斥反应期间调节免疫反应的分子相互作用。多项研究表明，移植物排斥反应是复杂的，多基因的和知之甚少。为了研究调节排斥反应的分子相互作用网络，在本提案中，我们将系统生物学分析应用于移植的良好表征模型。使用小鼠心脏移植模型，我们的初步数据表明，移植物产生的IL-6的缺乏约三倍的移植物存活。移植物产生的IL 6克服调节性T细胞的抑制，并促进CD 4和CD 8 T效应细胞的活化。因此，移植物产生的IL 6作为分子触发物发挥作用，其调节移植后免疫应答的多种组分。我们实验室设计的研究这个复杂过程的实验方法有两个互补的组成部分。首先，我们将研究一个重要的观察（由于移植物产生的IL-6的缺乏移植物存活的延长）在一个建立的实体器官移植模型（小鼠心脏移植）。其次，我们将应用最先进的微阵列技术，生物信息学，生物统计学和系统生物学的国家构建和分析全球的调控相互作用和信号转导通路调节排斥反应的分子模型。我们的初步数据和最近的出版物表明，我们可以成功地进行这些研究。因此，我们建议，应用系统生物学方法，这是本申请的骨干，是适当的，及时的，与传统的方法协同，以增加对排斥反应的理解。我们的总体生物学假设是，移植组织损伤诱导IL 6分泌，其作为激活外周免疫细胞的系统性危险信号发挥作用。我们将采用还原论和系统方法来解决这些问题。在目的一，我们将确定候选信号转导通路调节移植产生的IL-6移植后。在目标II中，我们将使用子网络和信号转导途径预测RNAi敲除实验靶点的生物学反应。我们预计，我们基于系统的方法将为移植后免疫反应的调节提供新的见解，并有可能确定新的治疗策略，以防止移植器官的排斥反应。 公共卫生相关性：我们将研究免疫机制，这可能是重要的，在确定是否移植是接受或拒绝的病人。我们关注的是白细胞介素-6（IL- 6），一种具有多种功能的细胞因子。我们已经发现由供体移植物产生的IL-6加速了移植物的排斥。除了IL-6，我们将使用微阵列分析免疫基因和途径，并使用系统生物学方法构建生物相互作用网络，以研究促进排斥反应的信号。

DESCRIPTION (provided by applicant): Our goal is to understand the molecular interactions that regulate the immune response during graft rejection. Multiple studies indicate that graft rejection is complex, polygenic and poorly understood. To investigate the network of molecular interactions that regulate rejection, in this proposal we apply a systems biology analysis to a well-characterized model of transplantation. Using a murine model of heart transplantation, our preliminary data demonstrate that a deficiency of graft produced IL-6 approximately triples graft survival. Graft produced IL6 overcomes suppression by regulatory T cells, and promotes the activation of CD4 and CD8 T effector cells. Thus, graft-produced IL6 functions as a molecular trigger that modulates multiple components of the immune response following transplantation. The experimental approach designed by our laboratory to investigate this complex process has 2 complementary components. First, we will investigate an important observation (prolongation of graft survival due to a deficiency of graft-produced IL-6) in an established solid organ transplant model (murine cardiac transplantation). Second, we will apply state of the art microarray technology, bioinformatics, biostatistics, and systems biology to construct and analyze global molecular models of the regulatory interactions and signal transduction pathways modulating rejection. Our preliminary data and recent publications establish that we can successfully perform these studies. Thus, we propose that applying a systems biology approach, which is the backbone of this application, is appropriate, timely, and synergistic with conventional approaches, to increase understanding of the rejection response. Our overall biological hypothesis is that injury to graft tissue induces IL6 secretion, which functions as a systemic danger signal to activate peripheral immune cells. We will employ both reductionist and systems approaches to address these questions. In Aim I, we will identify candidate signal transduction pathways modulated by graft-produced IL-6 following transplantation. In Aim II, we will predict biological responses for targets of knockdown experiments with RNAi using subnetworks and signal transduction pathways. We anticipate that our systems based approach will provide novel insights into the regulation of immune responses following transplantation and has the potential to identify new therapeutic strategies to prevent the rejection of grafted organs. PUBLIC HEALTH RELEVANCE: We will investigate the immune mechanisms that may be important in determining whether a transplant is accepted or rejected by the patient. We are focusing on interleukin-6 (IL- 6), a cytokine with diverse functions. We have found that IL-6 produced by the donor graft accelerates rejection of the graft. In addition to IL-6, we will analyze immune genes and pathways using microarrays and construct biological interaction networks using systems biology methods to investigate the signals that promote rejection.