Related Experiment Video
Updated: Apr 28, 2026

06:23
Preparation of DMMTAV and DMDTAV Using DMAV for Environmental Applications: Synthesis, Purification, and Confirmation
Published on: March 9, 2018
4.9K
Improved multiple displacement amplification (iMDA) and ultraclean reagents
S Timothy Motley, John M Picuri, Chris D Crowder
1Ibis Biosciences an Abbott Company, 2251 Faraday Ave, Suite 150, Carlsbad, CA 92008, USA. Mark.eshoo@abbott.com.
BMC Genomics
|June 8, 2014
Summary
We developed improved whole genome amplification (iMDA) and DNA-free reagents to accurately sequence low-DNA samples. This method significantly enhances efficiency and accuracy for various genomic applications.
Area of Science:
- Genomics
- Molecular Biology
- Biotechnology
Background:
- Next-generation sequencing requires nanogram to microgram DNA quantities, posing challenges for low-cell samples.
- Whole genome amplification (WGA) methods are needed for unbiased, contamination-free genomic analysis of limited samples.
Purpose of the Study:
- To develop and optimize a whole genome amplification protocol (iMDA) for low-DNA samples.
- To create DNA-free reagents and consumables to prevent exogenous DNA contamination.
Main Methods:
- Developed ethylene oxide treatment for DNA-free consumables and qPCR validation.
- Implemented ion exchange chromatography, filtration, and lot testing for reagent purity.
- Enhanced multiple displacement amplification (iMDA) with a second strand-displacing DNA polymerase, improved buffers, and reaction conditions.
Main Results:
- iMDA with DNA-free reagents significantly improved amplification efficiency and accuracy for low-DNA specimens.
- iMDA demonstrated superior read mapping (>99%) compared to commercial kits (0.02%) using 10 fg bacterial DNA.
- iMDA achieved comparable genomic coverage (≥1X and ≥5X) to direct sequencing, ensuring balance and representation.
Conclusions:
- The iMDA protocol combined with DNA-free consumables substantially enhances sequencing of low-DNA samples.
- iMDA offers broad applications in metagenomics, diagnostics, forensics, single-cell genomics, and ancient DNA analysis.

