↓ Skip to main content

PLOS

Winnowing DNA for Rare Sequences: Highly Specific Sequence and Methylation Based Enrichment

Overview of attention for article published in PLOS ONE, February 2012
Altmetric Badge

Mentioned by

blogs
1 blog
twitter
2 X users
patent
5 patents
wikipedia
1 Wikipedia page

Readers on

mendeley
77 Mendeley
citeulike
3 CiteULike
Title
Winnowing DNA for Rare Sequences: Highly Specific Sequence and Methylation Based Enrichment
Published in
PLOS ONE, February 2012
DOI 10.1371/journal.pone.0031597
Pubmed ID
Authors

Jason D. Thompson, Gosuke Shibahara, Sweta Rajan, Joel Pel, Andre Marziali

Abstract

Rare mutations in cell populations are known to be hallmarks of many diseases and cancers. Similarly, differential DNA methylation patterns arise in rare cell populations with diagnostic potential such as fetal cells circulating in maternal blood. Unfortunately, the frequency of alleles with diagnostic potential, relative to wild-type background sequence, is often well below the frequency of errors in currently available methods for sequence analysis, including very high throughput DNA sequencing. We demonstrate a DNA preparation and purification method that through non-linear electrophoretic separation in media containing oligonucleotide probes, achieves 10,000 fold enrichment of target DNA with single nucleotide specificity, and 100 fold enrichment of unmodified methylated DNA differing from the background by the methylation of a single cytosine residue.

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 77 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 2 3%
Sweden 1 1%
Canada 1 1%
Unknown 73 95%

Demographic breakdown

Readers by professional status Count As %
Researcher 29 38%
Student > Ph. D. Student 10 13%
Other 7 9%
Professor 6 8%
Student > Master 6 8%
Other 13 17%
Unknown 6 8%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 22 29%
Agricultural and Biological Sciences 21 27%
Medicine and Dentistry 13 17%
Engineering 5 6%
Chemistry 3 4%
Other 3 4%
Unknown 10 13%