Scale up single-cell technologies to map pain-associated genes and cells across the lifespan

扩大单细胞技术的规模，绘制整个生命周期中与疼痛相关的基因和细胞图谱

• 批准号: 10580155
• 负责人: Jian Shu
• 金额: $ 251.85万
• 依托单位: MASSACHUSETTS GENERAL HOSPITAL
• 依托单位国家: 美国
• 财政年份: 2022
• 资助国家: 美国
• 起止时间: 2022-09-15 至 2025-08-31
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10580155
• 关键词: Age; Cells; Child; Complex; Development; Diagnosis; Disease; Elderly; Genes; Health; Individual; Infant; Knowledge; Longevity; Maps; Molecular; Opioid; Pain; Pain Map; Postoperative Pain; Pregnancy; Pregnant Women; Research; Resolution; Tissues; Vulnerable Populations; candidate marker; chronic pain; innovation; innovative technologies; mouse model; novel; scale up; sex; single cell technology; therapeutic target

PROJECT SUMMARY Chronic pain is complex, diverse, and difficult to manage, and current treatments, such as opioids, are not effective for many individuals. The genes, circuits, and cells regulating chronic pain remain a black box. In particular, research on how the genes, circuits, and cells regulating chronic pain change across the lifespan in vulnerable populations including infants, children, elders, pregnant women is understudied and often ignored. The knowledge gap in understanding the underlying mechanisms of chronic pain is mainly due to the lack of innovative technologies to map and decode the pain-associated genes, circuits, and cells at high resolution and scale. We will develop novel single-cell technologies “Raman2Omics” that are highly modular and broadly applicable to map the genes, circuits, and cells associated with pain. We will utilize a mouse model of postoperative pain to investigate the underlying molecular mechanisms across ages, sexes, and during pregnancy. We will apply “Raman2Omics” to systematically investigate genes and cells associated with postoperative pain at scale. With these innovative single-cell technologies, we will be able to generate highly valuable molecular information and identify novel candidate biomarkers and therapeutic targets for chronic pain, which will lead to the development of novel diagnosis and treatment solutions. Meanwhile, “Raman2Omics” can be readily applied to investigate other multicellular complex tissues in health and diseases.

项目概要 慢性疼痛是复杂、多样且难以控制的，目前的治疗方法，如阿片类药物，并不能有效治疗慢性疼痛。 对许多人有效。调节慢性疼痛的基因、回路和细胞仍然是一个黑匣子。在 特别是关于调节慢性疼痛的基因、回路和细胞在整个生命周期中如何变化的研究 婴儿、儿童、老人、孕妇等弱势群体的研究不足，而且常常被忽视。 对慢性疼痛潜在机制的认识差距主要是由于缺乏 创新技术以高分辨率绘制和解码与疼痛相关的基因、电路和细胞 规模。我们将开发高度模块化且广泛的新型单细胞技术“Raman2Omics” 适用于绘制与疼痛相关的基因、回路和细胞图谱。我们将利用鼠标模型 术后疼痛，以研究不同年龄、性别和手术期间的潜在分子机制 怀孕。我们将应用“Raman2Omics”系统地研究与相关的基因和细胞 术后疼痛大规模。凭借这些创新的单细胞技术，我们将能够产生高度 有价值的分子信息并确定慢性疼痛的新型候选生物标志物和治疗靶点， 这将导致新的诊断和治疗解决方案的开发。同时，“Raman2Omics”可以 可轻松应用于研究健康和疾病中的其他多细胞复杂组织。