Journal: PLoS ONE
Article Title: In Vitro Analysis of Integrated Global High-Resolution DNA Methylation Profiling with Genomic Imbalance and Gene Expression in Osteosarcoma
doi: 10.1371/journal.pone.0002834
Figure Lengend Snippet: (A) Schematic workflow of microarray data analysis and integration. Individual microarrays in replicates (grey boxes), are imported, background corrected, and significantly enriched or depleted regions are detected and assigned to specific genes for DNA methylation, genomic imbalance, and gene expression. All data were analyzed, and integrated using Partek Genomic Suite (PGS) software, and network analysis was performed using Ingenuity Pathway Analysis (IPA). IN – input DNA, IP – immunoprecipitated DNA Cy3 and Cy5 – replicate experiment dye flip for a-CGH labeling, 1 and 2 – individual expression replicates, cor. – background normalized/corrected arrays, HMM – Hidden Markov Model algorithm, gen. seg. – genomic segmentation algorithm, ANOVA – analysis of variance algorithm. (B) Chromosome view of epigenetic, genetic, and expression changes at chromosome 7 in U2OS cells. A PGS generated visualization of the significant regions of genes with significant changes in expression (lane 1 profile), DNA methylation (lane 2 profile), genomic segmentation algorithm results (lane 3 heat map), and the corresponding a-CGH profile (lane 4 profile). The genomic segmentation scale and a-CGH profile values are in log 2 , while DNA methylation and gene expression y-axis scale represents average fold change to osteoblast levels, and size of each bar is proportional to the fold change (green – decrease, red – increase).
Article Snippet: The Agilent Human Genome CGH microarray 44k and 244A (Agilent Technologies, Inc., Palo Alto, USA) were used for the MG63 and U2OS array-CGH experiments, respectively.
Techniques: Microarray, DNA Methylation Assay, Expressing, Software, Immunoprecipitation, Labeling, Generated