Transformative Technologies for Experimental and Computational RNome Characterization and Functional Analysis

The NIH Common Fund, in collaboration with other NIH Institutes and Centers, is preparing to issue a funding opportunity for the Transformative Technologies for Experimental and Computational RNome Characterization and Functional Analysis initiative under the RNomics program. This initiative aims to develop high-risk, early-stage experimental and computational technologies that overcome major limitations in current RNA analysis methods, with a focus on sequencing RNA, detecting modifications, studying RNA function, and analyzing RNA across molecules, cells, and tissues. The program seeks innovations that have not yet been demonstrated at scale or in biologically relevant systems, prioritizing groundbreaking tools that can advance understanding of health and disease through integrated analysis of the entire RNome. This is a two-phase effort, where successful Phase 1 projects will be evaluated for transition to Phase 2, which is designed to deliver validated, widely usable tools for the scientific community. Applications are not currently being accepted; this notice serves as a forecast to allow potential applicants time to form collaborations and refine proposals. The initiative is part of a broader RNomics effort that includes technology enhancement centers, molecular standards, and a coordinating center, all aimed at establishing comprehensive RNA research capabilities. The funding opportunity will be administered by the National Institutes of Health under the Department of Health and Human Services, with a NAICS code of 541715 for research and development in the physical, engineering, and life sciences. All inquiries should be directed to the Common Fund RNomics Program at [email hidden], and further details can be found through the grants.gov listing. The forecast notice was posted on August 5, 2026, with no set-aside designation or specific place of performance indicated.