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Ultra-long Read Sequencing for Whole Genomic DNA Analysis
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3D Printing-Enabled DNA Extraction for Long-Read Genomics.

Paridhi Agrawal1, Jeffrey G Reifenberger2, Kevin D Dorfman1

  • 1Department of Chemical Engineering and Materials Science, University of Minnesota-Twin Cities, 421 Washington Ave. SE, Minneapolis, Minnesota 55455, United States.

ACS Omega
|September 3, 2020
PubMed
Summary
This summary is machine-generated.

A novel 3D-printed device rapidly prepares long DNA molecules from cells using microfluidics. This method is ideal for long-read genomics technologies, overcoming previous limitations in DNA sequencing.

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Area of Science:

  • Genomics and Molecular Biology
  • Bioengineering and Microfluidics

Background:

  • Next-generation sequencing faces limitations due to short DNA read lengths.
  • Long-read genomics technologies require high-quality, long DNA molecules.
  • Current DNA sample preparation methods can be time-consuming and cause DNA fragmentation.

Purpose of the Study:

  • To develop a rapid, automated DNA sample preparation method for long-read genomics.
  • To overcome DNA fragmentation and loss during sample preparation and transfer.
  • To enable direct integration of sample preparation with long-read sequencing technologies.

Main Methods:

  • A 3D-printed poly(dimethylysiloxane)-based microfluidic device was utilized.
  • Diffusive chemical lysis followed by electrophoresis was employed for DNA extraction.
  • DNA quality and size were assessed using nanochannel confinement.

Main Results:

  • The device produced approximately 100 ng of long DNA directly from cells.
  • Sample preparation required less than 5 minutes of hands-on labor.
  • Extracted DNA molecules were of sizes suitable for long-read single-molecule technologies.

Conclusions:

  • The 3D-printed microfluidic device offers a fast and efficient method for long DNA preparation.
  • This technology minimizes DNA fragmentation and loss, crucial for long-read sequencing.
  • The device facilitates automation and direct integration with advanced genomics platforms.