Opportunity Information: Apply for RFA RM 10 004
Apply for RFA RM 10 004
- The National Institutes of Health in the health sector is offering a public funding opportunity titled "Advanced Technologies for Detection of Perturbation Induced Cellular Signatures (U01)" and is now available to receive applicants.
- Interested and eligible applicants and submit their applications by referencing the CFDA number(s): 93.310 Trans NIH Research Support.
- This funding opportunity was created on Aug 6, 2010 and posted on Aug 6, 2010.
- Applicants must submit their applications by Feb 22, 2011. (Agency may still review applications by suitable applicants for the remaining/unused allocated funding in 2026.)
- The funding agency has allocated a total of $5,600,000.00 to eligible and selected applicants.
- Each selected applicant is eligible to receive up to $500,000.00 in funding.
- The number of recipients for this funding is limited to 4 candidate(s).
- Eligible applicants include: Private institutions of higher education Public housing authorities/Indian housing authorities Public and State controlled institutions of higher education Nonprofits having a 501(c)(3) status with the IRS, other than institutions of higher education County governments For profit organizations other than small businesses Others (see text field entitled Additional Information on Eligibility for clarification) Small businesses City or township governments Special district governments Native American tribal governments (Federally recognized) Native American tribal organizations (other than Federally recognized tribal governments) State governments Nonprofits that do not have a 501(c)(3) status with the IRS, other than institutions of higher education Independent school districts.
- Other Eligible Applicants include the following Alaska Native and Native Hawaiian Serving Institutions Eligible Agencies of the Federal Government Hispanic serving Institutions Historically Black Colleges and Universities (HBCUs) Indian/Native American Tribal Governments (Other than Federally Recognized) Non domestic (non U.S.) Entities (Foreign Organizations) Regional Organizations Tribally Controlled Colleges and Universities (TCCUs) U.S. Territory or Possession.
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Opportunity Summary:
The National Institutes of Health (NIH) funding opportunity announcement (FOA) titled "Advanced Technologies for Detection of Perturbation Induced Cellular Signatures (U01)" (Funding Opportunity Number: RFA-RM-10-004) is aimed at pushing forward the experimental technology side of large-scale cellular signature mapping. The core idea is to support projects that develop new technologies or substantially adapt existing ones so researchers can generate perturbation-induced cellular signature data faster, at higher quality, across more assay types, and with broader biological scope. In practical terms, the FOA is looking for improved ways to measure how cells respond when they are perturbed, for example by drugs, genetic changes, or other biological manipulations, and to capture those responses as measurable "signatures" that can be compared across many conditions and cell systems.
This FOA sits within the broader goals of LINCS, The Library of Integrated Network-Based Cellular Signatures, which is a major effort designed to systematically collect and organize cellular response signatures at scale. NIH is emphasizing that the technologies supported here should make it easier for large high-throughput signature production centers to increase the pace and range of data generation. That means the expected outputs are not just incremental improvements, but methods and platforms that meaningfully improve throughput (how many perturbations or conditions can be profiled), functionality (what the assay can do and how useful the resulting data are), quality (accuracy, reproducibility, robustness), and scope (the kinds of signatures that can be detected and characterized). The intended downstream benefit is faster and richer mapping of cellular responses that can help connect different perturbations through shared mechanisms and reveal functional relationships among cellular components.
The award mechanism is a U01 cooperative agreement, which generally signals substantial involvement and coordination with NIH compared to a typical investigator-initiated grant. The FOA is explicitly designed to complement two related initiatives released around the same time. First, it complements RFA-RM-10-003 (U54), which focuses on large-scale production of perturbagen-induced cellular signatures and building the systematic data production and knowledge base needed to connect disparate perturbations through mechanism-based associations. Second, it was released in parallel with RFA-RM-10-005 (U01), which focuses on computational tool development and integrative data analysis for LINCS, meaning the overall program was structured to cover technology development, large-scale data generation, and computational integration as coordinated pieces.
In terms of funding and scale, NIH anticipated making up to four awards in fiscal year 2011, contingent on receiving proposals judged scientifically strong. The total funds available for the initiative were listed as $2.8 million in FY2011 and $2.8 million in FY2012 (about $5.6 million total across the two years), again dependent on the merit of the applications. Individual projects could request budgets up to $500,000 per year in direct costs, with project periods of up to two years. The FOA did not require cost sharing or matching.
Eligibility was broad and included many organization types: public and private institutions of higher education, nonprofit organizations (including 501(c)(3) and other nonprofit statuses), for-profit organizations (including small businesses and other for-profits), and a range of government entities such as state, county, city/township, special district governments, and certain housing authorities. It also included tribal governments and tribal organizations, and explicitly recognized additional eligible applicants such as Alaska Native and Native Hawaiian Serving Institutions, Hispanic-serving institutions, Historically Black Colleges and Universities (HBCUs), Tribally Controlled Colleges and Universities (TCCUs), U.S. territories or possessions, regional organizations, eligible federal agencies, and non-U.S. (foreign) organizations. The activity category is health, and the CFDA number listed is 93.310 (Trans-NIH Research Support).
Key administrative dates included a posted and creation date of August 6, 2010, with an original and current closing date of February 22, 2011, and an archive date of March 25, 2011. The administering agency is NIH, and the FOA was categorized as discretionary funding using the cooperative agreement funding instrument type. A full announcement link was provided through the NIH grants guide, and technical access questions were directed to the NIH Office of Extramural Research (OER) webmaster contact.
Frequently Asked Questions (FAQs)
1) What is the title and funding opportunity number for this grant?
The funding opportunity announcement (FOA) is titled "Advanced Technologies for Detection of Perturbation Induced Cellular Signatures (U01)" and the Funding Opportunity Number is RFA-RM-10-004.
2) What is the main purpose of this FOA?
This FOA is focused on advancing the experimental technology needed for large-scale cellular signature mapping. It supports projects that develop new technologies or substantially adapt existing ones so researchers can generate perturbation-induced cellular signature data faster, at higher quality, across more assay types, and with broader biological scope.
3) What does "perturbation-induced cellular signatures" mean in this context?
In this FOA, perturbation-induced cellular signatures are measurable readouts of how cells respond when they are perturbed (for example, by drugs, genetic changes, or other biological manipulations). The goal is to capture those responses as signatures that can be compared across many conditions and cell systems.
4) What kinds of projects are this FOA trying to encourage?
The FOA is looking for technology development or substantial adaptation efforts that meaningfully improve:
- Throughput: profiling more perturbations or conditions
- Functionality: expanding what an assay can do and how useful the resulting data are
- Quality: improving accuracy, reproducibility, and robustness
- Scope: enabling detection and characterization of more kinds of signatures across broader biology
5) How does this FOA relate to LINCS?
This FOA sits within the broader goals of LINCS (The Library of Integrated Network-Based Cellular Signatures), a major effort to systematically collect and organize cellular response signatures at scale. NIH emphasizes that the supported technologies should make it easier for large high-throughput signature production centers to increase the pace and range of data generation.
6) What downstream impact is NIH aiming for with these technology advances?
The intended downstream benefit is faster and richer mapping of cellular responses. This can help connect different perturbations through shared mechanisms and reveal functional relationships among cellular components.
7) What is the award mechanism for this opportunity?
The award mechanism is a U01 cooperative agreement.
8) What does it mean that this is a U01 cooperative agreement?
A U01 cooperative agreement generally indicates substantial involvement and coordination with NIH compared to a typical investigator-initiated grant.
9) How does this FOA relate to RFA-RM-10-003 (U54)?
This FOA is explicitly designed to complement RFA-RM-10-003 (U54), which focuses on large-scale production of perturbagen-induced cellular signatures and on building the systematic data production and knowledge base needed to connect disparate perturbations through mechanism-based associations.
10) How does this FOA relate to RFA-RM-10-005 (U01)?
This FOA was released in parallel with RFA-RM-10-005 (U01), which focuses on computational tool development and integrative data analysis for LINCS. Together, these initiatives were structured to cover technology development, large-scale data generation, and computational integration as coordinated components.
11) How many awards did NIH anticipate making?
NIH anticipated making up to four awards in fiscal year 2011, contingent on receiving proposals judged to be scientifically strong.
12) What was the total funding expected to be available for this initiative?
The total funds available were listed as $2.8 million in FY2011 and $2.8 million in FY2012 (approximately $5.6 million total across the two years), dependent on the merit of applications.
13) What is the maximum budget per project?
Individual projects could request up to $500,000 per year in direct costs.
14) What is the maximum project period?
Project periods could be up to two years.
15) Is cost sharing or matching required?
No. The FOA did not require cost sharing or matching.
16) Who is eligible to apply?
Eligibility was broad and included (among others):
- Public and private institutions of higher education
- Nonprofit organizations (including 501(c)(3) and other nonprofit statuses)
- For-profit organizations (including small businesses and other for-profits)
- Government entities (state, county, city/township, and special district governments, and certain housing authorities)
- Tribal governments and tribal organizations
- U.S. territories or possessions, regional organizations, and eligible federal agencies
- Non-U.S. (foreign) organizations
- Alaska Native and Native Hawaiian Serving Institutions
- Hispanic-serving institutions
- Historically Black Colleges and Universities (HBCUs)
- Tribally Controlled Colleges and Universities (TCCUs)
17) What is the activity category and CFDA number?
The activity category is health, and the CFDA number listed is 93.310 (Trans-NIH Research Support).
18) What are the key dates for this FOA?
- Posted/created date: August 6, 2010
- Original and current closing date: February 22, 2011
- Archive date: March 25, 2011
19) Who is the administering agency?
The administering agency is the National Institutes of Health (NIH).
20) What type of funding is this categorized as?
The FOA was categorized as discretionary funding using the cooperative agreement funding instrument type.
21) Where was the full announcement made available?
A full announcement link was provided through the NIH grants guide (as referenced in the opportunity description).
22) Who should be contacted for technical access questions?
Technical access questions were directed to the NIH Office of Extramural Research (OER) webmaster contact.
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