课题基金 / 基金详情

Identifying genetic pathways and cellular sources for neural regeneration in adult animals

Identifying genetic pathways and cellular sources for neural regeneration in adult animals
识别成年动物神经再生的遗传途径和细胞来源
批准号:
10221587
负责人:
Ryan Edward Hulett
金额:
$3.12万
依托单位:
依托单位国家:
美国
项目类别:
财政年份:
2020
资助国家:
美国
项目状态:
已结题
起止时间:
2020-09-01 至 2022-08-31

项目摘要

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中文摘要
翻译
项目摘要/摘要 能够全身再生的成年动物的任务是忠实地替换任何缺失的细胞类型, 包括神经系统内的各种细胞类型。大多数关于花纹和花纹的知识 神经元群体的规范来自于专注于胚胎发育的工作;然而,有限 已经进行了工作,以确定潜在的再生或重新规范整个 成年动物体内的神经系统。这个项目的总体目标是发现蜂窝和 神经细胞规范、分化和替换的分子机制 一个成年动物的背景,使用高度再生的ACOEL研究模型,Hoftenia miamia。霍夫斯汀亚属 有一个由不同类型的神经细胞组成的有组织的神经系统,它可以完全再生,因为 一群多能的成体干细胞被称为“新成体细胞”。值得注意的是,霍夫斯捷尼亚是机械的。 对再生的研究,并展示了与更成熟的无脊椎动物再生相比的几个优势 模型,包括可获得的胚胎,使基于CRISPR/Cas9的基因组编辑和稳定 转基因。这个项目将提出两个关于成人神经系统再生的主要问题。 神经系统:1)再生过程中神经细胞类型多样性的分子/遗传调控因素是什么? 2)什么是神经细胞群体分化的细胞来源和动力 再生?单细胞RNAseq将确定神经细胞类型多样性的候选调节器,重点是 转录因子和受体,在再生过程中。我们的初步scRNAseq数据允许我们 假设Sox4、vax1和nkx2.4同系物是神经分化的重要调节因子。系统RNAi 结合显微镜观察,将确定支配神经细胞类型的分子机制。 再生过程中的身份。同时,我们计划利用转基因标记技术来鉴定神经干细胞。 细胞群体,确定它们的动态和对分化的神经细胞群体的贡献 再生。这两个问题让我们可以检验这样一个假设,即单个神经干细胞群体 亚功能化,形成Hoftenia内的先祖亚型。发现的细胞和分子机制 在这项研究中,成人神经系统的再生有可能告知人类再生 关于神经退行性疾病的医学。我对F31的目标是让自己装备上 在发育生物学的终身职业生涯中所需的计算、遗传和理论技能 揭示与动物再生相关的错综复杂的现象。组织与进化系 哈佛大学的生物学是这种培训的主要机构。
英文摘要
Project Summary/Abstract Adult animals capable of whole-body regeneration are tasked with faithfully replacing any missing cell type, including the myriad of cell types within the nervous system. Most knowledge regarding the patterning and specification of neuronal populations comes from work focusing on embryonic development; however, limited work has been performed to identify mechanisms underlying the regeneration or re-specification of entire nervous systems within adult animals. The overall objective of this project is to uncover the cellular and molecular mechanisms that underlie neuronal cell specification, differentiation, and replacement within the context of an adult animal, using the highly regenerative acoel research model, Hofstenia miamia. Hofstenia has an organized nervous system composed of different neural cell types that it can regenerate fully because of a population of pluripotent adult stem cells called ‘neoblasts’. Notably, Hofstenia is amenable to mechanistic studies of regeneration and presents several advantages over more well-established invertebrate regeneration models, including accessible embryos that have enabled CRISPR/Cas9-based genome editing and stable transgenesis. This project will ask two major questions about nervous system regeneration within the adult nervous system: 1) What are the molecular/genetic regulators of neural cell type diversity during regeneration? 2) What are the cellular sources and dynamics that underlie differentiation of neural populations during regeneration? Single-cell RNAseq will identify candidate regulators of neural cell type diversity, focusing on transcription factors and receptors, during regeneration. Our preliminary scRNAseq data allows us to hypothesize sox4, vax1, and nkx2.4 homologs as important regulators of neural differentiation. Systemic RNAi in combination with microscopy in adults will identify the molecular mechanisms governing neural cell type identity during regeneration. In parallel, we plan to utilize a transgenic labeling technique to identify neural stem cell populations, determining their dynamics and contributions to differentiated neural populations during regeneration. These two questions allow us to test the hypothesis that a single neural stem cell population subfunctionalizes to form progenitor subtypes within Hofstenia. Cell and molecular mechanisms discovered in the regeneration of the adult nervous system in this work have the potential to inform human regenerative medicine with regards to neurodegenerative disease. My goal for the F31 is to equip myself with the computational, genetic, and theoretical skills necessary for a lifetime career in developmental biology to uncover the intricacies associated with animal regeneration. The Department of Organismic and Evolutionary Biology at Harvard University is a premier institution for this training.
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