Tracking shallow and dynamic chemoattractant gradients - how yeast cells amplify both internal and external signals to locate mating partners

跟踪浅层和动态趋化剂梯度——酵母细胞如何放大内部和外部信号来定位交配伙伴

• 批准号: 2341919
• 负责人: David Stone
• 金额: $ 162.62万
• 依托单位: University of Illinois at Chicago
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2024
• 资助国家: 美国
• 起止时间: 2024-03-01 至 2028-02-29
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2341919&HistoricalAwards=false
• 关键词: Tracking; shallow; dynamic; chemoattractant; gradients

This project will contribute to our understanding of gradient sensing, the ability of cells to sense small differences in chemical concentration across their surfaces, and thereby locate the source of the stimulus. This phenomenon is essential for the development and health of all organisms. The PI uses yeast cells as a model to study the molecular mechanisms underlying gradient sensing, which are thought to be broadly applicable to cells in more complex organisms. In previous studies, he discovered a “gradient tracking machine” that cells must assemble before they are able to sense the direction of the chemical source. In this investigation, he will continue to investigate how this machine functions to decode chemical gradients. During this project period, the PI and his senior research specialist will mentor select biology students from the City Colleges of Chicago, to enhance their chances of graduating from a four-year institution with a BS in a STEM field. The proposed undergraduate research and mentoring program is designed to inspire, instruct, advise, and support underrepresented students who are interested in a STEM career. Two outstanding candidates will be chosen to participate each year based on their academic potential and motivation to pursue a STEM major at a four-year institution. By participating in regular tutoring sessions, paid summer research internships in the PI’s lab, and public outreach events, students will gain experience conducting scientific research, an ability to critically evaluate the research of others, and practice presenting their work. This program is expected to increase the chances of eight students to succeed as science majors at four-year institutions. The investigation will also provide the PI's students with interdisciplinary training through interactions with collaborators who are experts in diverse areas.The best-known gradient-stimulated cellular outputs, chemotaxis (directed cell movement), and chemotropism (directed cell growth), are required for a wide range of biological processes. Although they ultimately exhibit quite different behavior, chemotactic and chemotropic cells face similar challenges: the responding cell must sense small differences in chemical concentration across its surface, determine the direction of the gradient source, and polarize its cytoskeleton toward it. The mating response of the budding yeast S. cerevisiae is chemotropic: mating cells interpret complex pheromone gradients and polarize their growth in the direction of the closest partner. Like many chemosensing cells, yeasts use G protein-coupled receptors to detect chemoattractant. The goal of this project is to understand how yeast cells accurately sense direction in shallow, complex, and dynamic pheromone gradients. Based on discoveries made in a previous project, the PI published a deterministic model of gradient sensing that explains, in broad terms, how yeast cells translate a vanishingly small differential of activated receptors across their surfaces into accurate and robust directional responses. Mating yeast initially ignore the pheromone gradient, as they first colocalize signaling, polarity, and trafficking proteins to the default polarity site they use for budding, building a “gradient tracking machine” (GTM). Once assembled, the GTM moves along the plasma membrane to the point of maximal pheromone concentration, where it marks the chemotropic site used for mating. The primary negative regulator of G-protein signaling, the RGS protein Sst2, is essential for this process, and phosphorylation of one of the G-protein subunits (Gbetagamma)plays a critical role. The priorities of this investigation are to learn how Sst2 is controlled in space and time, how the phosphorylation of the G protein subunit contributes to gradient tracking, and how dynamic intercommunication between GTMs enables mating partners to orient toward a common fusion site. These questions will be answered using imaging, genetic, biochemical, proteomic, and computational approaches.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

该项目将有助于我们理解梯度传感，即细胞感知其表面化学浓度微小差异的能力，从而定位刺激源，这种现象对于所有生物体的发育和健康至关重要。使用酵母细胞作为模型来研究梯度传感的分子机制，这种机制被认为广泛适用于更复杂的生物体中的细胞，在之前的研究中，他发现了一种“梯度跟踪机器”，细胞必须先组装该机器才能进行感知。在这次调查中，他将感知化学源的方向。继续研究该机器如何解码化学梯度 在该项目期间，PI 和他的高级研究专家将指导来自芝加哥城市学院的精选生物学学生，以提高他们从四年制大学毕业的机会。拟议的 STEM 领域的本科生研究和指导计划旨在激励、指导、建议和支持对 STEM 职业感兴趣的代表性不足的学生，每年将根据他们的学术潜力和能力选择两名优秀候选人参加。追求 STEM 的动机通过参加定期辅导课程、PI 实验室的带薪暑期研究实习以及公共推广活动，学生将获得进行科学研究的经验、批判性评估他人研究的能力以及练习演示的能力。该项目预计将增加 8 名学生在四年制大学取得科学专业成功的机会。这项调查还将通过与不同领域的专家合作者的互动，为 PI 的学生提供跨学科培训。已知的梯度刺激细胞输出、趋化性（定向细胞运动）和趋化性（定向细胞生长）是多种生物过程所必需的，尽管它们最终表现出截然不同的行为，但趋化细胞和趋化细胞面临着相似的挑战：做出反应的细胞必须感知微小的差异。芽胞酵母的交配反应是趋化性的：交配细胞解释复杂的信息素梯度。和许多化学感应细胞一样，酵母使用 G 蛋白偶联受体来检测化学引诱剂，该项目的目标是了解酵母细胞如何准确地感知浅层、复杂和动态信息素的方向。基于之前项目的发现，PI 发布了梯度传感的确定性模型，从广义上解释了酵母细胞如何将其表面激活受体的微乎其微的差异转化为准确和稳健的结果。交配酵母最初会忽略信息素梯度，因为它们首先将信号、极性和运输蛋白质共定位到它们用于出芽的默认极性位点，构建“梯度跟踪机”(GTM)。一旦组装，GTM 就会向前移动。 G 蛋白信号传导的主要负调节因子 RGS 蛋白 Sst2 对于这一过程至关重要，并且G 蛋白亚基之一 (Gbetagamma) 的磷酸化起着至关重要的作用，本研究的重点是了解 Sst2 如何在空间和时间上受到控制、G 蛋白亚基的磷酸化如何有助于梯度跟踪，以及动态如何。 GTM 之间的相互通信使交配伙伴能够朝向共同的融合位点。这些问题将通过成像、遗传、生物化学、蛋白质组学和计算方法得到解答。该奖项是 NSF 的法定使命，并已获得批准。通过使用基金会的智力优点和更广泛的影响审查标准进行评估，被认为值得支持。