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DNA Fragmentation Simulation Method (FSM) and Fragment Size Matching Improve aCGH Performance of FFPE Tissues

Overview of attention for article published in PLOS ONE, June 2012
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Title
DNA Fragmentation Simulation Method (FSM) and Fragment Size Matching Improve aCGH Performance of FFPE Tissues
Published in
PLOS ONE, June 2012
DOI 10.1371/journal.pone.0038881
Pubmed ID
Authors

Justin M. Craig, Natalie Vena, Shakti Ramkissoon, Ahmed Idbaih, Shaun D. Fouse, Memet Ozek, Aydin Sav, D. Ashley Hill, Linda R. Margraf, Charles G. Eberhart, Mark W. Kieran, Andrew D. Norden, Patrick Y. Wen, Massimo Loda, Sandro Santagata, Keith L. Ligon, Azra H. Ligon

Abstract

Whole-genome copy number analysis platforms, such as array comparative genomic hybridization (aCGH) and single nucleotide polymorphism (SNP) arrays, are transformative research discovery tools. In cancer, the identification of genomic aberrations with these approaches has generated important diagnostic and prognostic markers, and critical therapeutic targets. While robust for basic research studies, reliable whole-genome copy number analysis has been unsuccessful in routine clinical practice due to a number of technical limitations. Most important, aCGH results have been suboptimal because of the poor integrity of DNA derived from formalin-fixed paraffin-embedded (FFPE) tissues. Using self-hybridizations of a single DNA sample we observed that aCGH performance is significantly improved by accurate DNA size determination and the matching of test and reference DNA samples so that both possess similar fragment sizes. Based on this observation, we developed a novel DNA fragmentation simulation method (FSM) that allows customized tailoring of the fragment sizes of test and reference samples, thereby lowering array failure rates. To validate our methods, we combined FSM with Universal Linkage System (ULS) labeling to study a cohort of 200 tumor samples using Agilent 1 M feature arrays. Results from FFPE samples were equivalent to results from fresh samples and those available through the glioblastoma Cancer Genome Atlas (TCGA). This study demonstrates that rigorous control of DNA fragment size improves aCGH performance. This methodological advance will permit the routine analysis of FFPE tumor samples for clinical trials and in daily clinical practice.

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Geographical breakdown

Country Count As %
United States 2 5%
Unknown 42 95%

Demographic breakdown

Readers by professional status Count As %
Researcher 10 23%
Student > Ph. D. Student 8 18%
Professor 6 14%
Student > Master 5 11%
Other 4 9%
Other 9 20%
Unknown 2 5%
Readers by discipline Count As %
Medicine and Dentistry 14 32%
Agricultural and Biological Sciences 13 30%
Biochemistry, Genetics and Molecular Biology 5 11%
Computer Science 2 5%
Neuroscience 2 5%
Other 3 7%
Unknown 5 11%