Emergent behavioral and transcriptional properties of pair bonds

配对键的新兴行为和转录特性

• 批准号: 10750878
• 负责人: Liza Eden Brusman
• 金额: $ 4.05万
• 依托单位: UNIVERSITY OF COLORADO
• 依托单位国家: 美国
• 财政年份: 2023
• 资助国家: 美国
• 起止时间: 2023-08-01 至 2025-07-31
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10750878
• 关键词: Address; Animals; Back; Behavior; Behavioral; Bioinformatics; Biological; Brain; Brain region; Cells; Computational Technique; Computer Analysis; Data; Data Set; Elements; Emotional; Exhibits; Experimental Designs; Feedback; Gene Expression; Genetic Transcription; Goals; Grain; Health; Human; Individual; Knowledge; Machine Learning; Maps; Medial; Modeling; Molecular Biology; Nature; Neurobiology; Neuroglia; Neurons; Neurosciences; Nucleus Accumbens; Organizational Objectives; Outcome; Oxytocin; Oxytocin Receptor; Pair Bond; Pattern; Personal Satisfaction; Persons; Play; Population; Poverty; Prefrontal Cortex; Process; Property; Research Personnel; Resolution; Role; Shapes; Social Behavior; Social Interaction; Structure; Techniques; Testing; Time; Tissues; Training; Well in self; Work; affiliative behavior; behavioral study; career; cell type; complex data; dyadic interaction; experience; experimental study; lens; machine learning algorithm; machine learning pipeline; member; neural; prairie vole; preference; single nucleus RNA-sequencing; skills; social; success; transcriptome sequencing; transcriptomics

Project Summary Pair bonds play critical roles in the human experience and profoundly influence our physical and emotional health. For a bond to be beneficial and the pair to accomplish shared goals, partners must work together through reciprocal action where each person acts and the other responds in turn. Despite the dyadic nature of pair bonds, the vast majority of studies on pair bonding focus on only one member of a pair, leaving us with an impoverished view of the dynamics between partners that facilitate relationship success. To fill this knowledge gap, I will use pair bonding prairie voles to examine the behavioral and biological basis of pair bonding in both partners of bonded pairs. My preliminary data show that in prairie voles, partners organize their affiliative behavior as bonds mature. In this proposal, I will use computational techniques to examine the discrete elements that underlie organized intra-pair behavior at two levels of biological organization: behavior and transcription. In my first Aim, I will leverage machine learning algorithms to decipher the within-animal and between-animal behavioral sequences that partners exhibit when allowed to interact freely with each other. This will reveal the behavioral components that contribute to intra-pair behavioral organization. To determine the neuromolecular basis of this behavior, in my second Aim, I will use single nucleus RNA sequencing (snRNA-seq) to map the transcriptional landscape of the prairie vole nucleus accumbens (NAc) and medial prefrontal cortex (mPFC), two brain regions critical for pair bonding. snRNA-seq will enable me to identify changes to discrete cellular populations upon bonding and will allow me to compare the similarity of transcriptional landscapes between bonded partners, potentially revealing a role for transcriptional convergence in the organization of intra-pair behavior. Together, these Aims will provide a new, dual- individual lens through which we can understand pair bonding and will provide me with training in the computational analysis of behavior and transcriptomics, invaluable skills for my career as an independent researcher.

项目概要 配对纽带在人类经历中发挥着至关重要的作用，并深刻影响我们的身体和情感 健康。为了使关系有益并实现共同目标，合作伙伴必须共同努力 通过相互行动，每个人依次行动，另一个人依次做出反应。尽管具有二元性质 配对键，绝大多数关于配对键的研究只关注配对中的一个成员，这给我们留下了一个 对促进关系成功的合作伙伴之间的动态的看法贫乏。来填补这些知识 差距，我将使用配对结合草原田鼠来研究配对结合的行为和生物学基础 债券对的伙伴。我的初步数据显示，在草原田鼠中，伙伴会组织他们的附属关系 债券成熟时的行为。在这个提案中，我将使用计算技术来检查离散 在生物组织的两个层面上构成有组织的配对内行为的要素：行为和 转录。在我的第一个目标中，我将利用机器学习算法来破译动物内部和 当允许彼此自由互动时，伙伴表现出的动物间行为序列。 这将揭示有助于内部行为组织的行为成分。确定 这种行为的神经分子基础，在我的第二个目标中，我将使用单核 RNA 测序 (snRNA-seq) 绘制草原田鼠伏隔核 (NAc) 和内侧核的转录景观 前额皮质（mPFC）是对配对至关重要的两个大脑区域。 snRNA-seq 将使我能够识别 结合时离散细胞群的变化将使我能够比较 结合伙伴之间的转录景观，可能揭示转录的作用 配对内行为组织的趋同。这些目标共同将提供一个新的、双重的 通过个人镜头，我们可以了解配对关系，并为我提供培训 行为和转录组学的计算分析，对我作为独立工作者的职业生涯来说是宝贵的技能 研究员。