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Biomedical subjects

Michael T Barrett

Publications and source records attributed to Michael T Barrett.

5 recordsLinked to original sources

Comparative genomic hybridization using oligonucleotide microarrays and total genomic DNA.

Array-based comparative genomic hybridization (CGH) measures copy-number variations at multiple loci simultaneously, providing an important tool for studying cancer and developmental disorders and for developing diagnostic and therapeutic targets. Arrays for CGH based on PCR products representing assemblies of BAC or cDNA clones typically require maintenance, propagation, replication, and verification of large clone sets. Furthermore, it is difficult to control the specificity of the hybridization to the complex sequences that are present in each feature of such arrays. To develop a more robust and flexible platform, we created probe-design methods and assay protocols that make oligonucleotide microarrays synthesized in situ by inkjet technology compatible with array-based comparative genomic hybridization applications employing samples of total genomic DNA. Hybridization of a series of cell lines with variable numbers of X chromosomes to arrays designed for CGH measurements gave median ratios for X-chromosome probes within 6% of the theoretical values (0.5 for XY/XX, 1.0 for XX/XX, 1.4 for XXX/XX, 2.1 for XXXX/XX, and 2.6 for XXXXX/XX). Furthermore, these arrays detected and mapped regions of single-copy losses, homozygous deletions, and amplicons of various sizes in different model systems, including diploid cells with a chromosomal breakpoint that has been mapped and sequenced to a precise nucleotide and tumor cell lines with highly variable regions of gains and losses. Our results demonstrate that oligonucleotide arrays designed for CGH provide a robust and precise platform for detecting chromosomal alterations throughout a genome with high sensitivity even when using full-complexity genomic samples.

Cell Line↗

Molecular phenotype of spontaneously arising 4N (G2-tetraploid) intermediates of neoplastic progression in Barrett's esophagus.

Elevated 4N (G(2)-tetraploid) cell populations are unstable intermediates in the development of many human cancers. However, 4N cell populations are intermixed with larger diploid fractions in vivo, limiting investigation of these key intermediates of neoplastic progression. Therefore, to study elevated 4N cell populations in human neoplasia, we used flow cytometry to purify populations of spontaneously arising TP53(wt) and TP53(mut) 4N cells from cell strains derived from premalignant Barrett's esophagus biopsies. Using oligonucleotide arrays, we identified 625 genes differentially expressed in at least one replicate 2N/4N comparison in each strain and in hTERT-immortalized cultures of the TP53(mut) strains. Strikingly, when hierarchically clustered, these data contained a large node of 124 genes that were up-regulated in 4N TP53(mut) cells in the absence of condensed chromosomes. Most of these genes function in G(2)-M to mediate processes such as chromosome condensation and segregation. These results describe the molecular phenotype of dysregulated G(2)-M functions and cell cycle checkpoints in a key intermediate of human neoplastic progression.

Barrett Esophagus↗

Transcriptional analyses of Barrett's metaplasia and normal upper GI mucosae.

Over the last two decades, the incidence of esophageal adenocarcinoma (EA) has increased dramatically in the US and Western Europe. It has been shown that EAs evolve from premalignant Barrett's esophagus (BE) tissue by a process of clonal expansion and evolution. However, the molecular phenotype of the premalignant metaplasia, and its relationship to those of the normal upper gastrointestinal (GI) mucosae, including gastric, duodenal, and squamous epithelium of the esophagus, has not been systematically characterized. Therefore, we used oligonucleotide-based microarrays to characterize gene expression profiles in each of these tissues. The similarity of BE to each of the normal tissues was compared using a series of computational approaches. Our analyses included esophageal squamous epithelium, which is present at the same anatomic site and exposed to similar conditions as Barrett's epithelium, duodenum that shares morphologic similarity to Barrett's epithelium, and adjacent gastric epithelium. There was a clear distinction among the expression profiles of gastric, duodenal, and squamous epithelium whereas the BE profiles showed considerable overlap with normal tissues. Furthermore, we identified clusters of genes that are specific to each of the tissues, to the Barrett's metaplastic epithelia, and a cluster of genes that was distinct between squamous and non-squamous epithelia.

Barrett Esophagus↗