Opportunity
Simpler Grants.gov #RFA-NS-26-013
NIH HEAL Initiative: Large-Scale Human Pain 'Omics and Physiology Dataset Generation Network
Buyer
National Institutes of Health
Posted
February 20, 2026
Respond By
October 12, 2026
Identifier
RFA-NS-26-013
NAICS
541715, 541714
This opportunity from the National Institutes of Health (NIH), specifically the National Institute of Neurological Disorders and Stroke, announces a forthcoming Notice of Funding Opportunity (NOFO) under the HEAL Initiative for advanced pain research. - Government Buyer: - National Institutes of Health (NIH) - National Institute of Neurological Disorders and Stroke - Scope of Work: - Solicits applications for large-scale, high-throughput 'omics and physiology dataset generation using primary human tissue across the pain neuraxis - Focus on generating and analyzing data for genes, epigenome, transcriptome, proteome, metabolome, and phenotyping of neuronal and non-neuronal cells at single-cell and tissue levels - Emphasis on expanding dataset generation, incorporating advanced technologies, and enhancing coverage across multiple pain conditions - Development of an integrated knowledgebase for pain research and therapeutics - Unique Requirements: - Multidisciplinary teams with expertise in comprehensive 'omics and physiology dataset generation in primary human tissue are encouraged - Awarded centers will collaborate as a network to develop best practices, optimize protocols, replicate and cross-validate findings, and integrate multimodal outputs - NIH program staff will coordinate with the HEAL Data Sharing Ecosystem - No specific OEMs, vendors, or commercial products are mentioned, as this is a research grant opportunity - Mechanism will be milestone-driven cooperative agreements
Description
The National Institute of Neurological Disorders and Stroke, along with other NIH Institutes and Centers, plans to publish a Notice of Funding Opportunity for comprehensive 'omics and physiology dataset generation using primary human tissue across the pain neuraxis. The program focuses 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 single-cell and tissue levels. This initiative aims to expand dataset generation, incorporate advanced technologies, enhance coverage across multiple pain conditions, and build an integrated knowledgebase for pain research and therapeutics. Applications are not currently being solicited; this notice allows potential applicants to prepare collaborations and projects.