CLOSED CFDA 93.310 ↗ Competitive Cooperative Agreement Competitive ~100h typical effort

Cellular Senescence Network (SenNet): SenNet Data Coordination, Integration and Organizational Center (U24 or UM1)

🏛 National Institutes of Health (HHS-NIH11)

✓ Free, no account · Source: Grants.gov · Last verified Jul 15, 2026

⏰ Deadline
Nov 13, 2025 ⚠ passed
📊 Total program funding
$3.4M
🎯 Expected awards
25 recipients
📅 Fiscal Year
FY 2026
📍 Scope
National

Can you apply?

This grant is for research institutions and qualified organizations developing a Data Coordination, Integration and Organizational Center (DCIOC) for the Cellular Senescence Network (SenNet) Program. Applicants must have expertise in cellular senescence, human biospecimens research, tissue mapping, and computational biology. The award uses U24 or UM1 cooperative agreement mechanisms, typically available to research institutions, universities, and medical centers with strong research infrastructure.

Eligible activities include integrating tissue senescence data, developing senescence atlases, managing consortium operations, coordinating multi-institutional research efforts, and advancing computational tools for senescent cell identification. The program focuses on understanding senescence in health, aging, and age-associated diseases.

This is a national competition. Strong collaborations across institutions are expected and encouraged. Applicants should demonstrate capacity to serve as an organizational hub for a multi-site research network.

Eligible applicants
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Key dates

  1. May 28, 2025 Applications open
  2. Nov 13, 2025 Application deadline
  3. Jul 1, 2026 Award announced
  4. Jul 1, 2026 Project start

Program description

The NIH Common Fund, National Institute on Aging, National Cancer Institute and additional NIH Institutes and Centers (ICs) intend to publish a Notice of Funding Opportunity (NOFO) to solicit applications for Stage 2 of the Cellular Senescence Network (SenNet) Program, which seeks to understand the biological consequences of senescent cell heterogeneity in health and disease, identify and characterize tissue-specific senescence markers in human biospecimens to facilitate the development of senotherapeutic strategies that improve health outcomes. The program’s SenNet Data Coordination, Integration and Organizational Center (DCIOC) will integrate tissue mapping efforts with Stage 2 data to generate Atlases of Senescence incorporating the spatial distribution of senescence biomarkers with biological and functional data across tissues in health, lifespan and age-associated diseases. The DCIOC will also serve as the organizational hub for SenNet in managing consortium and outreach activities. Applications are not being solicited at this time. Notice is being provided to allow potential applicants sufficient time to develop meaningful collaborations and responsive projects. This NOFO will utilize the U24 or UM1 activity code. Investigators with expertise and insights into the cellular senescence impact on human health, the development of innovative technologies and computational tools to identify and characterize senescent cells and inform novel approaches for the strategic targeting of senescent cells in vivo are encouraged to apply in response to these new NOFOs.

Who can apply

Eligible applicants

Demographic focus

How to apply

Application links

Key dates & requirements

  • 📅 Expected award date: Jul 1, 2026
  • 🚀 Project start date: Jul 1, 2026

Required documents

  • SF-424 (Federal Application for Federal Assistance)
  • Project Narrative/Research Strategy
  • Budget and Budget Justification
  • Biographical Sketches (Key Personnel)
  • Institutional Support and Commitment Letters
  • Research Design and Methods
  • Data Management and Sharing Plan
  • Letters of Institutional Collaboration
  • NIH Biosketches for leadership team

Program contact

  • 👤 Ajay Pillai Office of Strategic Coordination, DPCPSI, OD
  • 📧 ajay.pillai3@nih.gov
  • 📞 301.538.4811

Funding track record

Recent awards under CFDA 93.310 from the last 3 years — real organizations that won funding through this same program.

34
awards (3 yrs)
$4.0B
total funded
30
unique recipients
$118.8M
average award

Top 10 Largest Recent Awards

  1. $973,507,476
  2. $383,462,829
  3. $190,396,050
  4. $179,737,926
  5. $169,422,678
  6. $167,922,818
  7. $147,947,250
  8. $143,679,156
  9. $115,739,255
  10. $91,722,927

Top States by Funding

  • CA 3 awards $1,196.2M
  • NC 4 awards $446.1M
  • WA 1 awards $383.5M
  • MD 2 awards $317.4M
  • NY 4 awards $261.2M

Source: USAspending.gov — federal spending transparency. Data covers last 3 years.

Funding history

Annual funding for this program — Federal obligations (CFDA 93.310). How funding has trended year over year.

2024 $1,174,839,078
2025 $1,062,277,534
2026 est. $28,100,048

FAQ

Who can apply for this SenNet DCIOC grant?

Research institutions, universities, and medical centers with expertise in cellular senescence and data integration. Applications should demonstrate strong collaborative networks and organizational capacity.

What is the application deadline?

The deadline is November 13, 2025. This is a fixed deadline, not rolling acceptance.

What activities does this grant support?

Data coordination across senescence research sites, development of senescence atlases, tissue mapping integration, consortium management, and creation of computational tools for senescent cell characterization.

How competitive is this award?

This is a highly competitive NIH grant supporting a major research consortium center. The $3.4M total funding pool suggests a limited number of awards. Strong preliminary data and institutional commitment are essential.

Do I need to provide cost sharing?

No cost sharing is required for this grant. However, demonstrating institutional support and committed personnel strengthens competitiveness.

💡 Tips for applicants

  • Emphasize your organizational capacity to manage a multi-institutional research network and serve as a functional hub for consortium activities.
  • Clearly articulate the data integration strategy and how you will generate meaningful senescence atlases across tissue types and disease states.
  • Build strong letters of commitment from collaborating institutions showing their engagement and resource contributions.
  • Demonstrate expertise in computational biology, bioinformatics, and large-scale biological data management systems.
  • Detail your experience managing NIH-funded collaborative research centers or consortia and your track record for timely reporting and compliance.

⚠️ Common mistakes

Submitting without strong institutional partnerships and collaborative commitments already in place. Underestimating the complexity of coordinating multi-site data integration and not demonstrating prior experience managing large consortia. Failing to articulate a clear, innovative vision for senescence atlas development and how data will advance therapeutic discovery.

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Source: Grants.gov · FY 2026 · Last updated May 27, 2026

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