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Transformative Technologies for Experimental and Computational RNome Characterization and Functional Analysis

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Solicitation details, issuing organization, response deadlines, documents, and interested companies for this government contract opportunity.

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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 cfrnomics@od.nih.gov, 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.

General Info

NIH seeks transformative RNA analysis technologies for high-risk, early-stage development across cells and tissues, with two-phase funding.

Agency

Department Of Health And Human Services → National Institutes Of HealthView Agency

NAICS

541715 - Research and Development in the Physical, Engineering, and Life Sciences (except Nanotechnology and Biotechnology)View NAICS

Place of Performance

Not specified

Set-Aside

NONE

Documents

(0)

No documents available

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Timeline

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forecast

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Organization & Contact Information

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AgencyDepartment Of Health And Human Services → National Institutes Of Health
Contacts1 person available
OfficeUSA
Organization / Agency
Department Of Health And Human Services → National Institutes Of Health
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Office AddressUSA
Contacts
Common Fund RNomics Program

Full Description

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The NIH Common Fund, in partnership with other NIH Institutes and Centers, plans to issue Notices of Funding Opportunity (NOFOs) for the RNomics program, which seeks to develop tools for studying the full set of RNA molecules (the RNome) in cells and tissues. The program will support technologies and resources that enable integrated analysis of RNA sequences, modifications, structures, locations, interactions, and functions to advance understanding of health and disease. RNomics includes four initiatives: technology enhancement centers, transformative technologies, molecular standards, and a coordinating center. Applications are not being solicited at this time. This notice is being provided to give potential applicants time to develop meaningful collaborations and strong projects. 

This NOFO will support the transformative technologies initiative. These phased projects will develop new experimental and computational RNA technologies that address major limitations of current methods. Projects will focus on early-stage, high-risk ideas not yet demonstrated at scale or in biologically relevant systems. Priority areas include tools to sequence RNA, detect modifications, study RNA function, and analyze RNA across molecules, cells, and tissues. Projects that successfully complete Phase 1 milestones will be evaluated for transition to Phase 2. Phase 2 projects are expected to deliver validated tools for community use.

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