Opportunity Information: Apply for RFA RM 11 019
Apply for RFA RM 11 019
- The National Institutes of Health in the health sector is offering a public funding opportunity titled "Technology Development to Enable Large Scale Metabolomics Analyses (R01)" 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 Nov 17, 2011 and posted on Nov 17, 2011.
- Applicants must submit their applications by Jan 31, 2012. (Agency may still review applications by suitable applicants for the remaining/unused allocated funding in 2026.)
- The funding agency has allocated a total of $10,000,000.00 to eligible and selected applicants.
- Eligible applicants include: For profit organizations other than small businesses Public housing authorities/Indian housing authorities Special district governments Private institutions of higher education Small businesses City or township governments Native American tribal governments (Federally recognized) County governments Nonprofits that do not have a 501(c)(3) status with the IRS, other than institutions of higher education Native American tribal organizations (other than Federally recognized tribal governments) Public and State controlled institutions of higher education Independent school districts Others (see text field entitled Additional Information on Eligibility for clarification) State governments Nonprofits having a 501(c)(3) status with the IRS, other than institutions of higher education.
- Other Eligible Applicants include the following Alaska Native and Native Hawaiian Serving Institutions Eligible Agencies of the Federal Government Faith based or Community based Organizations Hispanic serving Institutions Historically Black Colleges and Universities (HBCUs) Indian/Native American Tribal Governments (Other than Federally Recognized) Regional Organizations Tribally Controlled Colleges and Universities (TCCUs) U.S. Territory or Possession Non domestic (non U.S.) Entities (Foreign Institutions) are eligible to apply. Non domestic (non U.S.) components of U.S. Organizations are eligible to apply. Foreign components, as defined in the NIH Grants Policy Statement, are allowed.
[Watch] Creating a grant proposal using the step-by-step wizard inside the applicant portal:
Opportunity Summary:
Technology Development to Enable Large Scale Metabolomics Analyses (R01) is a National Institutes of Health (NIH) funding opportunity designed to push metabolomics past several long-standing technical bottlenecks that limit what researchers can measure, how accurately they can measure it, and how quickly and affordably metabolomics can be scaled. The overarching goal is to support new and improved technologies that make large-scale metabolomics studies more practical and more reliable, especially when studies involve many samples, complex biological matrices, or metabolite classes that are currently difficult to detect and identify.
A central emphasis of this opportunity is improving molecular identification in metabolomics. That includes increasing the total number of metabolites that can be identified in a single experiment, improving quantitative accuracy (so measured concentrations are closer to the true values), and improving specificity (so compounds are correctly distinguished from similar molecules). The FOA also highlights the need to raise throughput, meaning technologies that can process more samples in less time without sacrificing data quality. In practical terms, NIH is looking for advances that move metabolomics toward a more comprehensive, confident, and high-volume measurement science rather than a partially annotated, slower, and more ambiguous profiling exercise.
The announcement calls out specific chemical challenges that remain difficult for many existing platforms. One is better coverage of particular metabolite classes, especially lipids and other non-polar molecules, which can be underrepresented or inconsistently measured depending on extraction methods, chromatography, and ionization approaches. Another is expanding the ability to measure more unique chemical entities, including compounds that are notoriously difficult to distinguish such as isomers and enantiomers. These are molecules with the same formula but different structures or orientations, and they can have very different biological roles; technologies that can separate, detect, and correctly assign these compounds are directly aligned with the FOA priorities.
The opportunity also focuses on making metabolomics more efficient and accessible by reducing sample volume requirements, costs, and the total time needed to produce accurate measurements. That can include innovations that allow meaningful profiling from limited material (for example, tiny tissue biopsies, rare cell populations, small-volume biofluids, or precious clinical samples). It also supports approaches that reduce per-sample expense and operational burden, which is a major barrier when metabolomics is applied to population studies, longitudinal cohorts, or large experimental designs.
From a technology-development standpoint, the FOA is interested in improvements across the metabolomics workflow. It explicitly mentions sample preparation and handling, which covers extraction, stabilization, automation, miniaturization, reducing batch effects, and limiting degradation or contamination. It also emphasizes detector technologies, which could involve advances in mass spectrometry hardware, separations, ion mobility, novel sensors, or other detection approaches that enhance sensitivity, selectivity, dynamic range, and measurement reproducibility. Data analysis is another key area, reflecting the reality that metabolomics is often limited not only by instruments but also by computational issues such as peak picking, alignment, normalization, compound identification, spectral library matching, false discovery control, and methods to interpret complex datasets at scale. The FOA frames these improvements as metabolomics-specific, meaning proposed tools should directly address metabolomics measurement and identification challenges rather than being generic data tools with only incidental relevance.
Administratively, this is an R01 grant mechanism under the NIH, categorized as discretionary funding in the health area, with CFDA number 93.310 (Trans-NIH Research Support). The total estimated funding listed is $10,000,000 for the opportunity. The original posted date was November 17, 2011, with a closing date of January 31, 2012, and an archive date of March 2, 2012. The opportunity indicates no cost sharing or matching requirement, which means applicants were not required to contribute a specified non-federal share as a condition of receiving funds.
Eligibility is broad and includes a wide range of organization types. Eligible applicants include public and private institutions of higher education, nonprofit organizations (including those with and without 501(c)(3) status), for-profit organizations (including small businesses), and multiple levels of government (state, county, city/township, special district). The FOA also includes a wide range of mission-driven and community-serving institutions, such as Historically Black Colleges and Universities (HBCUs), Hispanic-serving Institutions, Tribally Controlled Colleges and Universities (TCCUs), Alaska Native and Native Hawaiian Serving Institutions, and faith-based or community-based organizations where applicable. Importantly, non-U.S. entities (foreign institutions) are eligible to apply, and foreign components of U.S. organizations are allowed consistent with NIH policy, signaling that NIH was open to leveraging expertise and innovation wherever it is located, provided the application meets NIH requirements.
For applicants or readers seeking the full official announcement, the FOA provided a link hosted on the NIH grants site (RFA-RM-11-019). Contact guidance in the listing is oriented to technical access issues, directing users to the NIH Office of Extramural Research (OER) webmaster email for problems accessing or linking to the announcement.
Frequently Asked Questions (FAQs)
What is the "Technology Development to Enable Large Scale Metabolomics Analyses (R01)" opportunity?
This is a National Institutes of Health (NIH) funding opportunity that supports technology development aimed at making large-scale metabolomics studies more practical, reliable, and scalable. It targets long-standing technical bottlenecks that limit how many metabolites can be measured, how accurately they can be quantified, and how efficiently metabolomics can be run across many samples.
What is the main goal of this NIH funding opportunity?
The overarching goal is to support new and improved technologies that enable more comprehensive and confident metabolomics at scale, especially in studies with many samples, complex biological matrices, or metabolite classes that are difficult to detect and identify with existing platforms.
What grant mechanism is used for this opportunity?
The opportunity uses the NIH R01 grant mechanism.
Which NIH areas does this opportunity fall under administratively?
It is listed as discretionary funding in the health area and is associated with CFDA number 93.310 (Trans-NIH Research Support).
How much total funding is estimated for this opportunity?
The total estimated funding listed for the opportunity is $10,000,000.
What were the key dates for this funding opportunity?
The opportunity was posted on November 17, 2011. The closing date was January 31, 2012. The archive date was March 2, 2012.
Is cost sharing or matching required?
No. The listing indicates there is no cost sharing or matching requirement, meaning applicants were not required to provide a specified non-federal share as a condition of receiving funds.
What scientific or technical areas does NIH want to improve through this FOA?
The FOA emphasizes improvements across the metabolomics workflow, including molecular identification, quantitative accuracy, specificity, throughput, sample preparation/handling, detector technologies, and metabolomics-focused data analysis methods.
Why is molecular identification such a central emphasis?
The FOA highlights that metabolomics is often limited by incomplete or ambiguous identification. NIH is specifically looking for technologies that increase the number of metabolites confidently identified in a single experiment, improve quantitative accuracy, and improve specificity so similar compounds are correctly distinguished.
What does the FOA mean by improving quantitative accuracy and specificity?
Quantitative accuracy refers to measured concentrations being closer to true values. Specificity refers to correctly distinguishing compounds from similar molecules so the right chemical entity is assigned and reported.
What is meant by "throughput" in this opportunity?
Throughput refers to the ability to process more samples in less time without sacrificing data quality. The FOA prioritizes technologies that help metabolomics handle high sample volumes typical of population studies, longitudinal cohorts, or large experimental designs.
Which metabolite classes are specifically called out as challenging?
The announcement calls out the need for better coverage of particular metabolite classes, especially lipids and other non-polar molecules, which can be underrepresented or inconsistently measured depending on extraction methods, chromatography, and ionization approaches.
Does the FOA address difficulties with isomers and enantiomers?
Yes. The FOA highlights the need to expand measurement of more unique chemical entities, including compounds that are difficult to distinguish such as isomers and enantiomers. Technologies that can separate, detect, and correctly assign these compounds align directly with the FOA priorities.
What kinds of sample-related improvements are of interest?
The FOA is interested in technologies that reduce sample volume requirements, reduce costs, and decrease the total time needed to produce accurate measurements. This includes approaches that enable meaningful profiling from limited material such as tiny tissue biopsies, rare cell populations, small-volume biofluids, or precious clinical samples.
What sample preparation and handling improvements does the FOA mention?
It explicitly mentions sample preparation and handling topics such as extraction, stabilization, automation, miniaturization, reducing batch effects, and limiting degradation or contamination.
What detector or instrumentation areas are included?
The FOA emphasizes detector technologies and related advances that could include mass spectrometry hardware, separations, ion mobility, novel sensors, or other detection approaches that enhance sensitivity, selectivity, dynamic range, and measurement reproducibility.
Does this funding opportunity support computational and data analysis advances?
Yes. Data analysis is described as a key area, including metabolomics-relevant computational issues such as peak picking, alignment, normalization, compound identification, spectral library matching, false discovery control, and methods to interpret complex datasets at scale.
Are generic data tools appropriate for this FOA?
The FOA frames the improvements as metabolomics-specific. Proposed tools should directly address metabolomics measurement and identification challenges rather than being generic data tools with only incidental relevance to metabolomics.
Who is eligible to apply?
Eligibility is broad and includes public and private institutions of higher education; nonprofit organizations (with and without 501(c)(3) status); for-profit organizations (including small businesses); and state, county, city/township, and special district governments.
Are mission-driven and community-serving institutions included in eligibility?
Yes. The listing includes institutions such as Historically Black Colleges and Universities (HBCUs), Hispanic-serving Institutions, Tribally Controlled Colleges and Universities (TCCUs), Alaska Native and Native Hawaiian Serving Institutions, and faith-based or community-based organizations where applicable.
Are foreign (non-U.S.) organizations eligible to apply?
Yes. The opportunity states that non-U.S. entities (foreign institutions) are eligible to apply, and foreign components of U.S. organizations are allowed consistent with NIH policy.
Where can applicants find the official announcement?
The FOA provided a link hosted on the NIH grants site and is identified as RFA-RM-11-019.
Who should be contacted for problems accessing or linking to the official announcement?
For technical access issues, the listing directs users to contact the NIH Office of Extramural Research (OER) webmaster email for problems accessing or linking to the announcement.
Browse more opportunities from the same agency: National Institutes of Health
Browse more opportunities from the same category: Health
Next opportunity: Scale Up of Care and Support Services for Orphans and Vulnerable Children (OVC) in Selected States in Nigeria
Previous opportunity: Outreach and Assistance for Socially Disadvantaged Farmers and Ranchers
USGrants.org Applicant Portal:
Are you interested in learning about about how to apply for this government funding opportunity? You can create a free applicant account and receive instant access to our applicant portal that many business owners like you have benefited from.
Apply for RFA RM 11 019
[Watch] how do funding administrators access proposals?
Applicants also applied for:
Applicants who have applied for this opportunity (RFA RM 11 019) also looked into and applied for these:
| Funding Opportunity |
|---|
| Scale Up of Care and Support Services for Orphans and Vulnerable Children (OVC) in Selected States in Nigeria Apply for RFA 620 11 012 Funding Number: RFA 620 11 012 Agency: Nigeria USAID Abuja Category: Health Funding Amount: $32,500,000 |
| Alcohol impairment of immune function, host defense and tissue homeostasis (R01) Apply for PA 12 025 Funding Number: PA 12 025 Agency: National Institutes of Health Category: Health Funding Amount: Case Dependent |
| Alcohol impairment of immune function, host defense and tissue homeostasis (R21) Apply for PA 12 026 Funding Number: PA 12 026 Agency: National Institutes of Health Category: Health Funding Amount: $200,000 |
| Effects of adolescent binge drinking on brain development (R01) Apply for PA 12 027 Funding Number: PA 12 027 Agency: National Institutes of Health Category: Health Funding Amount: Case Dependent |
| Effects of Adolescent Binge Drinking on Brain Development (R21) Apply for PA 12 028 Funding Number: PA 12 028 Agency: National Institutes of Health Category: Health Funding Amount: $200,000 |
| Screening and Brief Alcohol Interventions in Underage and Young Adult Populations (R03) Apply for PA 12 029 Funding Number: PA 12 029 Agency: National Institutes of Health Category: Health Funding Amount: $50,000 |
| Screening and Brief Alcohol Interventions in Underage and Young Adult Populations (R21) Apply for PA 12 030 Funding Number: PA 12 030 Agency: National Institutes of Health Category: Health Funding Amount: $200,000 |
| Screening and Brief Alcohol Interventions in Underage and Young Adult Populations (R01) Apply for PA 12 031 Funding Number: PA 12 031 Agency: National Institutes of Health Category: Health Funding Amount: Case Dependent |
| New Tools to Study Astrocyte Heterogeneity, Development and Function in Brain Regions Relevant to Mental Illness (R01) Apply for RFA MH 13 010 Funding Number: RFA MH 13 010 Agency: National Institutes of Health Category: Health Funding Amount: Case Dependent |
| Mechanisms Mediating Osteoarthritis in Aging (R21) Apply for PA 12 018 Funding Number: PA 12 018 Agency: National Institutes of Health Category: Health Funding Amount: $275,000 |
| Mechanisms Mediating Osteoarthritis in Aging (R01) Apply for PA 12 019 Funding Number: PA 12 019 Agency: National Institutes of Health Category: Health Funding Amount: Case Dependent |
| Translational Research in Alcoholic Hepatitis (U01) Apply for RFA AA 12 007 Funding Number: RFA AA 12 007 Agency: National Institutes of Health Category: Health Funding Amount: $2,000,000 |
| Studies to evaluate cellular heterogeneity using transcriptional profiling of single cells (U01) Apply for RFA RM 11 013 Funding Number: RFA RM 11 013 Agency: National Institutes of Health Category: Health Funding Amount: Case Dependent |
| Exceptionally Innovative Tools and Technologies for Single Cell Analysis (R21) Apply for RFA RM 11 014 Funding Number: RFA RM 11 014 Agency: National Institutes of Health Category: Health Funding Amount: $200,000 |
| Accelerating the Integration and Translation of Technologies to Characterize Biological Processes at the Single Cell Level (R01) Apply for RFA RM 11 015 Funding Number: RFA RM 11 015 Agency: National Institutes of Health Category: Health Funding Amount: $750,000 |
| Stem/Progenitor Cell Derived Human Micro organs and tissues (U18) Apply for RFA RM 12 001 Funding Number: RFA RM 12 001 Agency: National Institutes of Health Category: Health Funding Amount: $250,000 |
| Asthma and Allergic Diseases Cooperative Research Centers (U19) Apply for RFA AI 12 006 Funding Number: RFA AI 12 006 Agency: National Institutes of Health Category: Health Funding Amount: $1,000,000 |
| Limited Competition Alzheimers Disease Cooperative Study (U19) Apply for RFA AG 13 001 Funding Number: RFA AG 13 001 Agency: National Institutes of Health Category: Health Funding Amount: Case Dependent |
| Research Centers in Primary Care Practice Based Research and Learning (P30) Apply for RFA HS 12 002 Funding Number: RFA HS 12 002 Agency: Agency for Health Care Research and Quality Category: Health Funding Amount: Case Dependent |
| Investigations on Primary Immunodeficiency Diseases (R01) Apply for PAR 12 036 Funding Number: PAR 12 036 Agency: National Institutes of Health Category: Health Funding Amount: Case Dependent |
Grant application guides and resources
It is always free to apply for government grants. However the process may be very complex depending on the funding opportunity you are applying for. Let us help you!
Apply for Grants
Premium leads for funding administrators, grant writers, and loan issuers
Thousands of people visit our website for their funding needs every day. When a user creates a grant proposal and files for submission, we pass the information on to funding administrators, grant writers, and government loan issuers.
If you manage government grant programs, provide grant writing services, or issue personal or government loans, we can help you reach your audience.
Subscribe to Leads
Request more information:
Would you like to learn more about this funding opportunity, similar opportunities to "RFA RM 11 019", eligibility, application service, and/or application tips? Submit an inquiry below:
Don't forget to subscribe to our grant alerts mailing list to receive weekly alerts on new and updated grant funding opportunities like this one in your email.