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An Integrative Genomic and Epigenomic Approach for the Study of Transcriptional Regulation

Overview of attention for article published in PLOS ONE, March 2008
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Title
An Integrative Genomic and Epigenomic Approach for the Study of Transcriptional Regulation
Published in
PLOS ONE, March 2008
DOI 10.1371/journal.pone.0001882
Pubmed ID
Authors

Maria E. Figueroa, Mark Reimers, Reid F. Thompson, Kenny Ye, Yushan Li, Rebecca R. Selzer, Jakob Fridriksson, Elisabeth Paietta, Peter Wiernik, Roland D. Green, John M. Greally, Ari Melnick

Abstract

The molecular heterogeneity of acute leukemias and other tumors constitutes a major obstacle towards understanding disease pathogenesis and developing new targeted-therapies. Aberrant gene regulation is a hallmark of cancer and plays a central role in determining tumor phenotype. We predicted that integration of different genome-wide epigenetic regulatory marks along with gene expression levels would provide greater power in capturing biological differences between leukemia subtypes. Gene expression, cytosine methylation and histone H3 lysine 9 (H3K9) acetylation were measured using high-density oligonucleotide microarrays in primary human acute myeloid leukemia (AML) and acute lymphocytic leukemia (ALL) specimens. We found that DNA methylation and H3K9 acetylation distinguished these leukemias of distinct cell lineage, as expected, but that an integrative analysis combining the information from each platform revealed hundreds of additional differentially expressed genes that were missed by gene expression arrays alone. This integrated analysis also enhanced the detection and statistical significance of biological pathways dysregulated in AML and ALL. Integrative epigenomic studies are thus feasible using clinical samples and provide superior detection of aberrant transcriptional programming than single-platform microarray studies.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 95 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 6 6%
United Kingdom 2 2%
Canada 2 2%
Brazil 1 1%
Germany 1 1%
Chile 1 1%
Unknown 82 86%

Demographic breakdown

Readers by professional status Count As %
Researcher 24 25%
Student > Ph. D. Student 19 20%
Professor 14 15%
Professor > Associate Professor 14 15%
Student > Postgraduate 5 5%
Other 11 12%
Unknown 8 8%
Readers by discipline Count As %
Agricultural and Biological Sciences 53 56%
Medicine and Dentistry 17 18%
Biochemistry, Genetics and Molecular Biology 7 7%
Environmental Science 1 1%
Mathematics 1 1%
Other 7 7%
Unknown 9 9%