Transformative Technologies for Experimental and Computational RNome Characterization and Functional Analysis
This grant supports early-stage projects to develop innovative experimental and computational tools for comprehensive RNA analysis, aiming to overcome current limitations and advance research on RNA’s roles in health and disease.
Funder: National Institutes of Health
Due Dates (Anticipated): February 2027 (Full application deadline, projected)
Funding Amounts: $500,000 per award (ceiling); ~$8,000,000 total program funding; up to 10 awards, typically 1–2 years per phase.
Summary: Supports development of transformative experimental and computational technologies for comprehensive RNA (RNome) analysis in health and disease.
Key Information: This is a forecasted opportunity; applications are not yet being solicited.
Description
This forecasted NIH Common Fund initiative will support the development of transformative technologies—both experimental and computational—for comprehensive characterization and functional analysis of the RNome (the full set of RNA molecules in cells and tissues). The program aims to overcome major limitations in current RNA research methods by funding early-stage, high-risk projects that have not been demonstrated at scale or in biologically relevant systems. Supported projects may include new tools for sequencing RNA, detecting modifications, analyzing structure, studying function, and profiling RNA across molecules, cells, and tissues. The initiative is part of the RNomics program, which encompasses technology enhancement centers, transformative technologies, molecular standards, and a coordinating center. Projects will be phased, with Phase 1 focused on development and proof-of-concept, and successful projects eligible for transition to Phase 2, which is expected to deliver validated tools for community use.
