Improving genomic sample preparation with automation technology
Official title: Automation of Sample Preparation for a Genomics Shared Resource
Funded at University of California-Irvine · NIH-10988125 · Data updated 2026-11-12
This study is all about making it easier and more accurate for scientists to prepare DNA and RNA samples, which could help improve tests and treatments for patients in the future.
Quick facts
| Grant type | NIH-funded research |
|---|---|
| Study type | NIH-funded research |
| Funding institution | University of California-Irvine NIH-funded |
| Lab location | 1 site (Irvine, United States) |
| Project start | July 15, 2024 |
| Project end | July 14, 2025 |
| Funding year | 2024 |
| Award (this year) | $348,723 |
| NIH project number | 1R24OD037737-01 |
| Project ID | NIH-10988125 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for benefiting from this research include individuals undergoing genomic testing for various health conditions.
✕Less likely to help
Patients who are not undergoing genomic testing or do not have conditions that require genomic analysis may not receive direct benefits from this research.
What this research studies
This research focuses on enhancing the efficiency and accuracy of genomic sample preparation by acquiring advanced automation equipment. The Genomics Research and Technology Hub at the University of California-Irvine aims to implement the Hamilton LiquidScan NGS STAR system, which will automate key processes in next-generation sequencing workflows. By reducing manual tasks, this project seeks to improve the reproducibility of results and streamline operations for researchers working with DNA and RNA sequencing. Patients may benefit indirectly through improved genomic research outcomes that could lead to better diagnostics and treatments.
Why it matters
Potential benefit: If successful, this research could lead to more accurate genomic analyses, ultimately improving patient care and treatment options.
How similar studies have gone: Other research has shown success with automation in genomic workflows, indicating that this approach is promising and builds on established methodologies.
Where this research is happening
-
University of California-Irvine
Irvine, United States Active
Researchers
- Principal investigator: Sandmeyer, Suzanne — University of California-Irvine
- Study coordinator: Sandmeyer, Suzanne
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About this research
- This is an active NIH-funded research project — typically early-stage science, not a clinical trial accepting patient enrollment.
- Some NIH-funded labs run parallel clinical studies or seek volunteers for related work. To check, contact the principal investigator or institution listed above.
- For full project details, budget, and progress reports, visit the official NIH RePORTER page.