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Massively Parallel Haplotyping on Microscopic Beads for the High-Throughput Phase Analysis of Single Molecules

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Title
Massively Parallel Haplotyping on Microscopic Beads for the High-Throughput Phase Analysis of Single Molecules
Published in
PLOS ONE, April 2012
DOI 10.1371/journal.pone.0036064
Pubmed ID
Authors

Jérôme Boulanger, Leila Muresan, Irene Tiemann-Boege

Abstract

In spite of the many advances in haplotyping methods, it is still very difficult to characterize rare haplotypes in tissues and different environmental samples or to accurately assess the haplotype diversity in large mixtures. This would require a haplotyping method capable of analyzing the phase of single molecules with an unprecedented throughput. Here we describe such a haplotyping method capable of analyzing in parallel hundreds of thousands single molecules in one experiment. In this method, multiple PCR reactions amplify different polymorphic regions of a single DNA molecule on a magnetic bead compartmentalized in an emulsion drop. The allelic states of the amplified polymorphisms are identified with fluorescently labeled probes that are then decoded from images taken of the arrayed beads by a microscope. This method can evaluate the phase of up to 3 polymorphisms separated by up to 5 kilobases in hundreds of thousands single molecules. We tested the sensitivity of the method by measuring the number of mutant haplotypes synthesized by four different commercially available enzymes: Phusion, Platinum Taq, Titanium Taq, and Phire. The digital nature of the method makes it highly sensitive to detecting haplotype ratios of less than 1:10,000. We also accurately quantified chimera formation during the exponential phase of PCR by different DNA polymerases.

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The data shown below were compiled from readership statistics for 24 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Belgium 1 4%
Austria 1 4%
Unknown 22 92%

Demographic breakdown

Readers by professional status Count As %
Student > Master 6 25%
Researcher 5 21%
Student > Ph. D. Student 5 21%
Student > Bachelor 2 8%
Professor > Associate Professor 2 8%
Other 2 8%
Unknown 2 8%
Readers by discipline Count As %
Agricultural and Biological Sciences 14 58%
Biochemistry, Genetics and Molecular Biology 3 13%
Engineering 2 8%
Psychology 1 4%
Immunology and Microbiology 1 4%
Other 0 0%
Unknown 3 13%