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High-throughput, Automated Extraction of DNA and RNA from Clinical Samples using TruTip Technology on Common Liquid Handling Robots
Published on: June 11, 2013
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An inexpensive semi-automated sample processing pipeline for cell-free RNA extraction
Mira N Moufarrej1,2, Stephen R Quake3,4
1Department of Bioengineering, Stanford University, Stanford, CA, USA.
Nature Protocols
|August 11, 2023
Summary
This study presents a low-cost, semi-automated pipeline for cell-free RNA extraction using open-source robotics. The method significantly improves throughput, reduces time and cost, and minimizes waste compared to manual processing.
Area of Science:
- Molecular Biology
- Genomics
- Biotechnology
Background:
- High-throughput RNA sequencing sample preparation is often limited by expensive equipment, hindering academic research.
- Manual RNA isolation is time-consuming, costly, and prone to errors, limiting scalability.
Purpose of the Study:
- To develop a low-cost, semi-automated pipeline for cell-free RNA extraction.
- To improve sample throughput, reduce processing time and cost, and minimize biohazardous waste in RNA isolation.
Main Methods:
- Utilized inexpensive, open-source robotic systems (Opentrons OT1.0/OT2.0) for semi-automated RNA extraction.
- The protocol involves RNA extraction, DNA digestion, and RNA cleaning/concentration steps.
- Validated RNA quality using RT-qPCR with a synthetic spike-in.
Main Results:
- Achieved comparable RNA quality to manual methods.
- Demonstrated a 12-fold increase in sample throughput.
- Reduced processing time by 11-fold, cost by 3-fold, and biohazardous waste by 4-fold.
- Enabled simultaneous processing of 96 samples in 4.5 hours.
Conclusions:
- The semi-automated pipeline offers a cost-effective and efficient solution for cell-free RNA extraction, making large-scale studies accessible to smaller labs.
- The protocol is generalizable for various nucleic acid extraction applications.
- This approach significantly enhances the speed and feasibility of genomic research.
