HEAL Initiative: Program to Reveal and Evaluate Cells-to-gene Information that Specify Intricacies, Origins and the Nature of (PRECISION) Human Pain Network
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The National Institute of Neurological Disorders and Stroke, along with other NIH Institutes and Centers, plans to issue a Notice of Funding Opportunity (NOFO) to support comprehensive large-scale generation and analysis of ‘omics and physiological data from primary human tissue related to the pain neuraxis. This initiative is part of the NIH HEAL (Helping to End Addiction Long Term) program and aims to build upon the existing PRECISION Human Pain Network program. The focus will be on high-throughput data collection spanning genomics, epigenomics, transcriptomics, proteomics, metabolomics, and detailed phenotyping of neuronal and non-neuronal cells at both single-cell and tissue levels. Awarded centers will collaborate in a network under a milestone-driven cooperative agreement to develop best practices, optimize protocols, replicate and validate findings, and create an integrated, multimodal knowledgebase equipped with digital resources to benefit the pain research and therapeutics development communities. Applications are not currently being accepted but this advance notice is intended to provide potential applicants enough time to form multidisciplinary teams capable of addressing the complex nature of pain biology. Ideal applicants would include experts in neurobiology, pain science, human pain medicine, surgery, as well as specialists in statistics, engineering, physics, and bioinformatics. These collaborative teams will work closely with NIH program staff to ensure alignment with the HEAL Data Sharing Ecosystem and to adapt to evolving scientific priorities, maximizing the impact of generated datasets for understanding and treating pain across multiple conditions.
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The National Institute of Neurological Disorders and Stroke, in conjunction with other NIH Institutes and Centers (ICs) as a part of the congressionally mandated NIH Helping to End Addiction Long Term (HEAL) initiative intends to publish a Notice of Funding Opportunity (NOFO) to solicit applications for comprehensive ‘omics and physiology dataset generation using primary human tissue across the pain neuraxis. Applications should focus on large-scale, high-throughput data generation and analysis of human genes, epigenome, transcriptome, proteome, metabolome, and phenotyping of neuronal and non-neuronal cells at the single-cell and tissue levels. This NOFO is intended as a continuation of the NIH HEAL Initiative’s Program to Reveal and Evaluate Cells-to-gene Information that Specify Intricacies, Origins and the Nature of (PRECISION) Human Pain Network. The goal of this research will be to expand the generation and dissemination of comprehensive datasets using primary pain-associated human tissues, incorporate cutting-edge technologies, enhance coverage across multiple pain conditions, and extend integration and harmonization of multimodal outputs. This NOFO will utilize a milestone-driven, cooperative agreement mechanism, in which awarded centers will work collaboratively as a network to develop best practices, optimize protocols, replicate and cross-validate research findings, and collectively build an integrated knowledgebase, with digital resources for the entire pain research and therapeutics development communities. NIH program staff involvement is expected to coordinate alignment with the broader HEAL Data Sharing Ecosystem and account for evolving priorities to ensure program objectives are achieved.
Applications are not being solicited at this time. Notice is being provided to allow potential applicants sufficient time to develop meaningful multidisciplinary collaborations and responsive projects. Investigators with expertise and insights into comprehensive ‘omics and physiology dataset generation in primary human tissue are encouraged to consider applying for this NOFO. In addition, applications from collaborating, multidisciplinary teams of neurobiologists, pain biologists, human pain scientists and/or physicians, surgeons, and scientists with expertise in statistics, physics, engineering, and bioinformatics should consider applying to this funding opportunity.