NIH-funded research Sbir 2 grant

Improving the extraction of genetic material from preserved tissue samples

Official title: Improving extraction success of FFPE samples with automated and reliable microfluidic sample preparation

Funded at Redbud Labs, INC. · NIH-10931835 · Data updated 2026-11-12

This study is working on a new, easier way to get DNA and RNA from tissue samples that doctors often use, so they can help personalize treatments for patients more effectively.

Quick facts

Grant typeSbir 2 grant
Study typeNIH-funded research
Funding institutionRedbud Labs, INC.
NIH-funded
Lab location1 site (Durham, UNITED STATES)
Project startSeptember 16, 2022
Project endJune 30, 2026
Funding year2024
Award (this year)$1,238,908
NIH project number2R44GM148126-02A1
Project IDNIH-10931835 on NIH RePORTER

Who could benefit from this research

Could help

Ideal candidates for this research are patients whose tumor samples are preserved in FFPE format, particularly those with colorectal, lung, or melanoma tumors.

Less likely to help

Patients with fresh-frozen tissue samples or those whose tumors are not preserved in FFPE format may not benefit from this research.

What this research studies

This research focuses on enhancing the extraction of nucleic acids from fixed paraffin-embedded (FFPE) tissue samples, which are commonly used in clinical settings. The project aims to automate the extraction process using advanced microfluidic technology, making it more efficient and reliable compared to traditional manual methods. By improving the quantity and quality of nucleic acids extracted, this research could significantly aid in genomic sequencing, which is essential for personalized medicine. The approach involves developing a fully automated system that streamlines the sample preparation process.

Why it matters

Potential benefit: If successful, this research could lead to more accurate genomic analyses, improving clinical decision-making and patient outcomes in cancer treatment.

How similar studies have gone: Other research has shown promise in automating nucleic acid extraction from FFPE samples, indicating that this approach has potential for success.

Where this research is happening

  • Redbud Labs, INC.
    Durham, United States
    Active

Researchers

  • Principal investigator: Fisher, Jay Kenneth — Redbud Labs, INC.
  • Study coordinator: Fisher, Jay Kenneth

Related research

Other NIH-funded projects on the same topics.

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    NIH research Redbud Labs, INC. · Durham, UNITED STATES · NIH-11262007

  • Automated tools to extract better DNA and RNA from routine biopsy blocks

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    NIH research Redbud Labs, INC. · Durham, UNITED STATES · NIH-11131120

  • Automating the preparation of genetic samples for faster outbreak response

    This study is working on a new, easy-to-use machine that helps prepare genetic samples quickly, so doctors can better track and respond to virus outbreaks and understand how viruses are changing, especially in places with limited resources.

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  • A quick test for Hepatitis C virus

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  • Improving sample processing for discovering viruses in the field

    This study is working on improving how we collect and prepare samples from the environment to find viruses that could cause pandemics, which means it could help doctors identify viral infections faster and keep everyone healthier.

    NIH research Redbud Labs, INC. · Durham, UNITED STATES · NIH-10935692

About this research

  1. This is an active NIH-funded research project — typically early-stage science, not a clinical trial accepting patient enrollment.
  2. Some NIH-funded labs run parallel clinical studies or seek volunteers for related work. To check, contact the principal investigator or institution listed above.
  3. For full project details, budget, and progress reports, visit the official NIH RePORTER page.
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Last reviewed 2026-11-14 by the Find a Trial editorial team. Information on this page is for educational purposes and is not medical advice. Always consult qualified healthcare professionals about clinical trial participation.