SIGMA: a system for integrative genomic microarray analysis of cancer genomes.

Background: The prevalence of high resolution profiling of genomes has created a need for the integrative analysis of information generated from multiple methodologies and platforms. Although the majority of data in the public domain are gene expression profiles, and expression analysis software are available, the increase of array CGH studies has enabled integration of high throughput genomic and gene expression datasets. However, tools for direct mining and analysis of array CGH data are limited.

Epigenomics: mapping the methylome.

DNA methylation is integral to normal development and disease processes. However, the genomic distribution of methylated sequences--the methylome--is poorly understood. We have recently developed a platform technology for rapid assessment of methylation status throughout the human genome in a high-resolution, high-throughput manner.

Chromosome-wide and promoter-specific analyses identify sites of differential DNA methylation in normal and transformed human cells.

Cytosine methylation is required for mammalian development and is often perturbed in human cancer. To determine how this epigenetic modification is distributed in the genomes of primary and transformed cells, we used an immunocapturing approach followed by DNA microarray analysis to generate methylation profiles of all human chromosomes at 80-kb resolution and for a large set of CpG islands. In primary cells we identified broad genomic regions of differential methylation with higher levels in gene-rich neighborhoods.

Chromosome 5p aberrations are early events in lung cancer: implication of glial cell line-derived neurotrophic factor in disease progression.

Lung cancer is the most widely diagnosed malignancy in the world. Understanding early-stage disease will give insight into its pathogenesis. Despite the fact that pre-invasive lesions are challenging to isolate, and often yield insufficient DNA for the analysis of multiple loci, genomic profiling of such lesions will lead to the discovery of causal genetic alterations, which may be otherwise masked by the gross instability associated with tumors.

Array CGH technologies and their applications to cancer genomes.

Cancer is a disease characterized by genomic instability. Comparative genomic hybridization (CGH) is a technique designed for detecting segmental genomic alterations. Recent advances in array-based CGH technology have enabled examination of chromosomal regions in unprecedented detail, revolutionizing our understanding of tumour genomes.

Involvement of multiple developmental genes on chromosome 1p in lung tumorigenesis.

Lung cancer is the leading cause of cancer death in North America. Despite advances in lung cancer treatment, the overall 5 year survival rate for those diagnosed with the disease is bleak presumably due to the late stage of diagnosis. Owing to the difficulty of early detection, preneoplastic specimens are rare.

Comprehensive whole genome array CGH profiling of mantle cell lymphoma model genomes.

Mantle cell lymphoma (MCL) is an aggressive non-Hodgkin's lymphoma with median patient survival times of approximately 3 years. Although the characteristic t(11;14)(q13;q32) is found in virtually all cases, experimental evidence suggests that this event alone is insufficient to result in lymphoma and secondary genomic alterations are required. Using a newly developed DNA microarray of 32 433 overlapping genomic segments spanning the entire human genome, we can for the first time move beyond marker based analysis and comprehensively search for secondary genomic alterations concomitant with the t(11;14) in eight commonly used cell models of MCL (Granta-519, HBL-2, NCEB-1, Rec-1, SP49, UPN-1, Z138C and JVM-2).