Opportunity Information: Apply for PA 11 215
Apply for PA 11 215
- The National Institutes of Health in the education health sector is offering a public funding opportunity titled "New Technology for Proteomics and Glycomics (SBIR R43/R44)" and is now available to receive applicants.
- Interested and eligible applicants and submit their applications by referencing the CFDA number(s): 93.273 Alcohol Research Programs 93.389 National Center for Research Resources 93.837 Cardiovascular Diseases Research 93.853 Extramural Research Programs in the Neurosciences and Neurological Disorders 93.859 Biomedical Research and Research Training.
- This funding opportunity was created on May 19, 2011 and posted on May 19, 2011.
- Applicants must submit their applications by May 7, 2014. (Agency may still review applications by suitable applicants for the remaining/unused allocated funding in 2026.)
- Eligible applicants include: Small businesses.
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Opportunity Summary:
The New Technology for Proteomics and Glycomics (SBIR R43/R44) opportunity (Funding Opportunity Number PA-11-215) was a National Institutes of Health (NIH) discretionary grant program aimed specifically at small business concerns. Its core purpose was to stimulate the development of broadly applicable, next-generation research tools that solve persistent technical bottlenecks in proteomics and glycomics, two areas central to understanding proteins and carbohydrate structures in biology and disease. The program used the SBIR mechanism (R43/R44), which is structured to support early-stage feasibility work followed by more advanced development, with the expectation that small businesses will translate promising ideas into practical tools that can be adopted widely by the research and clinical communities.
The scope of technology development emphasized real, hands-on improvements across the entire measurement pipeline, from how biological samples are handled to how data are captured and interpreted. Examples of targeted areas included automation and robotics to increase throughput and reproducibility; improved sample preparation and pre-fractionation approaches to reduce losses and bias while enriching relevant molecules; advances in analytical separations that can better resolve complex mixtures; and better gel- and array-based imaging methods that improve detection and quantitation. The FOA also highlighted innovation in mass spectrometry, including instrument-related advances and methods that support smarter, more efficient measurements, such as intelligent automated data acquisition strategies that can adapt in real time to sample complexity. On the back end, strong interest was placed on improved informatics, meaning software and computational methods that make it easier to process, identify, quantify, integrate, and interpret proteomics and glycomics datasets reliably and at scale.
A notable emphasis of the announcement was on tools that meet the unique demands of glycomics and clinical proteomics. Glycomics often presents special analytical challenges compared with standard protein measurements, including structural diversity, branching, isomerism, and complex fragmentation behavior, all of which can complicate confident identification and quantitation. Clinical proteomics brings additional constraints such as limited sample amounts, high variability across patients, the need for robust and standardized workflows, and requirements for reproducibility and potential downstream clinical utility. For that reason, the FOA signaled particular interest in technologies designed with these realities in mind, consistent with the research objectives referenced in the announcement.
From an administrative standpoint, the opportunity was offered as a grant (FundingInstrumentType: Grant) under NIH and was open only to eligible small businesses. It did not require cost sharing or matching. The program was posted May 19, 2011, and remained open until its closing date of May 7, 2014, after which it was archived June 7, 2014. The funding activity category was listed under Education and Health, and it was associated with multiple CFDA numbers spanning biomedical and disease research areas (including 93.273, 93.389, 93.837, 93.853, and 93.859), reflecting the broad cross-cutting relevance of proteomics and glycomics technologies to many NIH mission areas. The full announcement was made available through NIH Grants policy/guide documentation, and NIH’s Office of Extramural Research webmaster contact was provided for access or linking issues.
FAQs: New Technology for Proteomics and Glycomics (SBIR R43/R44) - PA-11-215
What is the PA-11-215 opportunity?
PA-11-215, titled "New Technology for Proteomics and Glycomics (SBIR R43/R44)," was a National Institutes of Health (NIH) discretionary grant opportunity focused on supporting small business concerns developing next-generation research tools for proteomics and glycomics.
Which agency offered this funding opportunity?
The opportunity was offered by the National Institutes of Health (NIH).
What type of funding instrument was used?
The funding instrument type was a grant (FundingInstrumentType: Grant).
What mechanism did the program use?
The program used the SBIR mechanism, specifically R43/R44. This structure supports early-stage feasibility work followed by more advanced development, with the expectation that small businesses will translate promising ideas into practical tools for broad adoption.
Who was eligible to apply?
The opportunity was open only to eligible small businesses (small business concerns) under the SBIR program.
What was the main goal of the program?
The core purpose was to stimulate development of broadly applicable, next-generation research tools that address persistent technical bottlenecks in proteomics and glycomics, supporting advances in understanding proteins and carbohydrate structures in biology and disease.
What scientific areas did the FOA emphasize?
The FOA emphasized technology development in proteomics and glycomics, two areas central to measuring and interpreting proteins and carbohydrate (glycan) structures.
What parts of the measurement pipeline were in scope?
The scope emphasized practical improvements across the entire measurement pipeline, including how biological samples are handled, how data are captured, and how data are processed and interpreted.
What technology areas were specifically highlighted as examples?
Examples of targeted areas included automation and robotics to improve throughput and reproducibility; improved sample preparation and pre-fractionation to reduce losses and bias while enriching relevant molecules; advances in analytical separations to better resolve complex mixtures; and improved gel- and array-based imaging methods for better detection and quantitation.
Did the opportunity include mass spectrometry-related development?
Yes. The FOA highlighted innovation in mass spectrometry, including instrument-related advances and methods to support smarter, more efficient measurements.
What does "intelligent automated data acquisition" mean in this context?
In the context described, it refers to automated mass spectrometry data acquisition strategies that can adapt in real time to sample complexity to make measurements more efficient and effective.
Was informatics or software development part of the scope?
Yes. The FOA placed strong interest on improved informatics, including software and computational methods to process, identify, quantify, integrate, and interpret proteomics and glycomics datasets reliably and at scale.
Did the FOA place special emphasis on glycomics tools?
Yes. A notable emphasis was placed on tools that meet the unique demands of glycomics, reflecting the analytical challenges associated with glycan structural diversity, branching, isomerism, and complex fragmentation behavior that can complicate identification and quantitation.
Did the FOA place special emphasis on clinical proteomics?
Yes. The announcement emphasized tools designed for clinical proteomics constraints such as limited sample amounts, high variability across patients, and the need for robust, standardized, and reproducible workflows, with potential downstream clinical utility.
Did the program require cost sharing or matching funds?
No. The opportunity did not require cost sharing or matching.
When was the opportunity posted?
The opportunity was posted on May 19, 2011.
When did the opportunity close?
The opportunity remained open until May 7, 2014.
When was the opportunity archived?
It was archived on June 7, 2014.
Is this opportunity still open for applications?
No. Based on the provided dates, it closed on May 7, 2014 and was later archived.
How was the funding activity category described?
The funding activity category was listed under Education and Health.
What CFDA numbers were associated with this opportunity?
The opportunity was associated with multiple CFDA numbers spanning biomedical and disease research areas: 93.273, 93.389, 93.837, 93.853, and 93.859.
Why were multiple CFDA numbers used?
The multiple CFDA associations reflect the cross-cutting relevance of proteomics and glycomics technologies to many NIH mission areas and disease research domains.
Where was the full announcement made available?
The full announcement was made available through NIH Grants policy/guide documentation.
Who was listed as a contact for access or linking issues?
NIH's Office of Extramural Research webmaster contact was provided for access or linking issues.
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