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Biomedical subjects

Colin Collins

Publications and source records attributed to Colin Collins.

22 records · Page 2Linked to original sources

Chromosome aberrations in solid tumors.

Chromosome aberrations in human solid tumors are hallmarks of gene deregulation and genome instability. This review summarizes current knowledge regarding aberrations, discusses their functional importance, suggests mechanisms by which aberrations may form during cancer progression and provides examples of clinical advances that have come from studies of chromosome aberrations.

Biological Evolution↗

Reconstructing tumor genome architectures.

Although cancer progression is often associated with genome rearrangements, little is known about the detailed genomic architecture of tumor genomes. The attempt to reconstruct the genomic organization of a tumor genome recently resulted in the development of the End Sequence Profiling (ESP) technique, and the application of this technique to human MCF7 tumor cells. We formulate the ESP Genome Reconstruction Problem, and develop an algorithm to solve this problem in the case of sparse ESP data. We apply our algorithm to analyze human MCF7 tumor cells, and obtain the first reconstruction of the putative architecture of human MCF7 tumor genome. Our results assist in the ongoing ESP analysis of MCF7 tumors by suggesting additional ESP experiments for the completion of a reliable reconstruction of the MCF7 tumor genome, and by focusing BAC re-sequencing efforts.

Algorithms↗

Predicting antigenic peptides suitable for the selection of phage antibodies.

Selection from phage antibody libraries can be considered to be an in vitro immune system in which the antibody response is reduced to the bare minimum of antigen recognition. Using selections of antibodies on peptides from a phage antibody library, we investigated what constitutes peptide antigenicity in the context of the antibody-protein binding site. We selected polyclonal antibodies in a high throughput format against 44% of 90 overlapping peptides derived from three different proteins. Of these, 33% of peptides (epitopic peptides) were able to select antibodies that recognized the protein from which the peptides were derived. Although no algorithm was able to predict all epitopic peptides, solvent accessibility was the best predictor in this cell-free antibody selection context. We subsequently applied solvent accessibility to successfully predict epitopic peptides from p53 and Znf217, and showed that such peptide selected single-chain antibodies were able to recognize soluble p53 in ELISA and Znf217 in a western blot. This is likely to have considerable utility in functional genomics and proteomics where it should be possible to select antibodies against gene products on the basis of deduced amino acid sequence in a high throughput fashion.

Amino Acid Sequence↗

Protein elongation factor EEF1A2 is a putative oncogene in ovarian cancer.

We have found that EEF1A2, the gene encoding protein elongation factor EEF1A2 (also known as eEF-1 alpha 2), is amplified in 25% of primary ovarian tumors and is highly expressed in approximately 30% of ovarian tumors and established cell lines. We have also demonstrated that EEF1A2 has oncogenic properties: it enhances focus formation, allows anchorage-independent growth and decreases the doubling time of rodent fibroblasts. In addition, EEF1A2 expression made NIH3T3 fibroblasts tumorigenic and increased the growth rate of ES-2 ovarian carcinoma cells xenografted in nude mice. Thus, EEF1A2 and the process of protein elongation are likely to be critical in the development of ovarian cancer.

3T3 Cells↗