Scale up single-cell technologies to map pain-associated genes and cells across the lifespan
Scale up single-cell technologies to map pain-associated genes and cells across the lifespan
批准号:
10580155
负责人:
Jian Shu
金额:
$251.85万
依托单位国家:
美国
项目类别:
财政年份:
2022
资助国家:
美国
项目状态:
未结题
起止时间:
2022-09-15 至 2025-08-31
关键词:
AgeCellsChildComplexDevelopmentDiagnosisDiseaseElderlyGenesHealthIndividualInfantKnowledgeLongevityMapsMolecularOpioidPainPain MapPostoperative PainPregnancyPregnant WomenResearchResolutionTissuesVulnerable Populationscandidate markerchronic paininnovationinnovative technologiesmouse modelnovelscale upsexsingle cell technologytherapeutic target
中文摘要
点击翻译按钮获取中文摘要
英文摘要
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.
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