An Integrative Genomic and Epigenomic Approach for the Study of Transcriptional Regulation
2008

Study of Gene Regulation in Leukemia

Sample size: 5 publication Evidence: moderate

Author Information

Author(s): 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 M. Melnick

Primary Institution: Albert Einstein College of Medicine

Hypothesis

Integration of different genome-wide epigenetic regulatory marks along with gene expression levels would provide greater power in capturing biological differences between leukemia subtypes.

Conclusion

Integrative epigenomic studies are feasible using clinical samples and provide superior detection of aberrant transcriptional programming than single-platform microarray studies.

Supporting Evidence

  • DNA methylation and H3K9 acetylation distinguished leukemias of distinct cell lineage.
  • An integrative analysis revealed hundreds of additional differentially expressed genes that were missed by gene expression arrays alone.
  • The integrated analysis enhanced the detection and statistical significance of biological pathways dysregulated in AML and ALL.

Takeaway

This study looked at how different markers in leukemia can help us understand the disease better. By combining different tests, researchers found more useful information than by using just one test.

Methodology

Gene expression, cytosine methylation, and histone acetylation were measured using high-density oligonucleotide microarrays in primary human acute myeloid leukemia (AML) and acute lymphocytic leukemia (ALL) specimens.

Potential Biases

Potential biases may arise from the technical limitations of the microarray platforms and the small number of patient samples.

Limitations

The study was limited by the small sample size and the technical limitations of each platform used.

Participant Demographics

The study included 5 patients diagnosed with either acute lymphoblastic leukemia (ALL) or acute myeloid leukemia (AML).

Statistical Information

P-Value

p<0.02

Statistical Significance

p<0.02

Digital Object Identifier (DOI)

10.1371/journal.pone.0001882

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