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.

项目摘要 配对键在人类体验中起着关键作用，并深刻地影响着我们的身体和情感 健康为了使一种纽带有益，为了实现共同的目标，伴侣必须共同努力 通过一个人行动另一个人回应的相互作用。尽管有二元的性质， 对键，绝大多数对键的研究只集中在一对中的一个成员，给我们留下了一个 对促进关系成功的伙伴之间的动态的贫乏看法。为了填补这些知识 间隙，我将使用配对结合草原田鼠，以研究行为和生物学基础的配对结合，在这两个 结合在一起的伴侣我的初步数据显示，在草原田鼠中，伴侣组织他们的附属关系， 债券成熟时的行为。在这个建议中，我将使用计算技术来检查离散的 在生物组织的两个层次上构成有组织的配对内行为的基础的元素：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体内的信息， 动物之间的行为序列，合作伙伴展示时，允许相互自由互动。 这将揭示有助于配对内行为组织的行为成分。以确定 在我的第二个目标中，我将使用单核RNA测序来研究这种行为的神经分子基础。 （snRNA-seq）绘制草原田鼠核神经元（NAc）和内侧核神经元的转录景观。 前额叶皮层（mPFC），这两个大脑区域对配对关系至关重要。snRNA-seq将使我能够识别 结合后离散细胞群的变化，并将允许我比较 结合伙伴之间的转录景观，可能揭示了转录的作用， 对内行为的组织趋同。这些目标将共同提供一个新的、双重的目标， 个人的透镜，通过它我们可以理解对债券，并将为我提供培训， 行为和转录组学的计算分析，作为一个独立的职业生涯， 研究员