Reverse engineering zonation-specific and age-specific iPSC-derived cerebrovascular models based on transcriptomic profiling of the human brain

项目摘要 脑血管功能障碍正在成为许多脑部疾病的常见病理，包括 神经退行性疾病、脑血管疾病以及衰老。因此，理解角色 脑血管功能障碍在疾病进展和衰老中的作用将是长期维持脑功能的关键 健康随着组织工程和干细胞技术的发展，体外脑血管模型可以 在理解脑血管功能障碍在疾病进展中的作用方面发挥重要作用， 衰老 下一代脑血管模型应考虑三个关键因素：（1） 脑微血管内皮细胞沿着动-静脉轴的表型，（内在因素），（2） 微环境线索沿着动-静脉轴的差异（外在因素），以及（3） 老化过程中和对老化血清的反应中的区域特异性脑血管表型。因此 这个项目的总体目标是使用分区和年龄特定的内在和外在线索，以逆向工程 人脑血管模型，并使用这些模型来了解脑血管表型， 衰老我们将首先进行一个合并的遗传筛选，以确定转录因子组合， 能够驱动源细胞朝向人脑微血管内皮细胞的基因表达谱 沿着动静脉轴（目标1）。三种候选诱导的脑微血管内皮细胞（iBMEC） 将使用慢病毒转导生成每个区域的。每个区域的最佳候选人将是 从基因和蛋白质表达谱的分析中选择（Aim 2）。然后，我们将使用三个IBMEC， 在区域特异性模型（小动脉，毛细血管， 小静脉）（目的3）。接下来，我们将评估青年和老年血清对脑血管表型的影响， 特定区域模型（目标4）。最后，我们将使用相同的方法创建一个 脑血管模型中的一个区域。我们将创建与人类转录因子谱相匹配的iBMEC， 脑微血管内皮细胞在老年脑血管中的作用，然后评估 微环境因素和青年/老年血清对脑血管表型的影响。 该项目是Searson集团（JHU）与组织工程专业知识 微血管模型，以及Heiman小组（MIT）在基因组学和微血管形成的分子机制方面的专业知识。 神经退行性疾病该项目建立在两个实验室最近取得的主要成就之上：（1） 脑微血管内皮细胞区域特异性转录因子谱文库的建立 （2）识别关键转录因子，以实现区域化的逆向工程- 特异性人脑微血管内皮细胞，和（3）用于区域特异性 脑血管模型。

Project Summary Cerebrovascular dysfunction is emerging as a common pathology in many diseases of the brain, including neurodegenerative diseases, cerebrovascular diseases, as well as in aging. Therefore, understanding the role of cerebrovascular dysfunction in disease progression and aging will be key to long-term maintenance of brain health. With developments in tissue engineering and stem cell technology, in vitro cerebrovascular models can play an important role in understanding the role of cerebrovascular dysfunction in disease progression and aging. Next-generation cerebrovascular models should take into account three key factors: (1) differences in phenotype of brain microvascular endothelial cells along the arterio-venous axis, (intrinsic factors), (2) differences in microenvironmental cues along the arterio-venous axis (extrinsic factors), and (3) changes in zonation-specific cerebrovascular phenotype during aging and in response to aged serum. Therefore, the overall goal of this project is to use zonation- and age-specific intrinsic and extrinsic cues to reverse engineer human cerebrovascular models, and to use these models to understand cerebrovascular phenotype during aging. We will first perform a pooled genetic screen to identify transcription factor combinations that are capable of driving source cells towards gene expression profiles of human brain microvascular endothelial cells along the arterio-venous axis (Aim 1). Three candidate induced brain microvascular endothelial cells (iBMECs) for each zone will be generated using lentiviral transduction. The top candidate for each zone will then be selected from analysis of gene and protein expression profiles (Aim 2). We will then use the three iBMECs to demonstrate zonation-specific cerebrovascular phenotype in zonation-specific models (arteriole, capillary, venule) (Aim 3). Next, we will assess the influence of young and old serum on cerebrovascular phenotype in the zonation-specific models (Aim 4). Finally, we will use the same approach to create an aged cerebrovascular model in one zone. We will create iBMECs that match the transcription factor profile of human brain microvascular endothelial cells in the aged cerebrovasculature, and then assess the role of microenvironmental cues and young/old serum on cerebrovascular phenotype. This project is a collaboration between the Searson group (JHU) with expertise in tissue-engineered microvascular models, and the Heiman group (MIT) with expertise in genomics and molecular mechanisms of neurodegenerative disease. This project builds upon key recent accomplishments from the two labs: (1) the creation of a library of zonation-specific transcription factor profiles for brain microvascular endothelial cells from the human brain, (2) identification of key transcription factors to enable reverse engineering of zonation- specific human brain microvascular endothelial cells, and (3) tissue-engineered platforms for zonation-specific cerebrovascular models.