Biomedical subjects

Kathryn Stone

Publications and source records attributed to Kathryn Stone.

3 recordsLinked to original sources

PubMed2006

Paired box genes, PAX-2 and PAX-8, are not frequently mutated in Wilms tumor.

To determine whether PAX-2 and PAX-8 are involved in Wilms tumor (WT) pathogenesis, we sought mutations in these two genes in 99 Wilms tumors of favorable histology. We screened the entire protein coding sequences as well as the intronic regions adjacent to exons, using denaturing HPLC followed by sequencing of samples displaying abnormal chromatograms. In PAX-2, a silent polymorphism was found within exon 2 and exon 8 in 1% and 21% of cases, respectively. Three apparently silent polymorphisms were also found in PAX-8, two in exon 5 (2 of 99 cases or 2%) and one in exon 6 (22 of 99 cases or 22%), all of which were located 3' to the exons. In conclusion, no evidence for disease causing mutation was found using this technique, and so the direct involvement of either of these two genes in WT is unlikely.

Chromatography, High Pressure Liquid↗

PubMed2003

Comparison of statistical methods for classification of ovarian cancer using mass spectrometry data.

MOTIVATION: Novel methods, both molecular and statistical, are urgently needed to take advantage of recent advances in biotechnology and the human genome project for disease diagnosis and prognosis. Mass spectrometry (MS) holds great promise for biomarker identification and genome-wide protein profiling. It has been demonstrated in the literature that biomarkers can be identified to distinguish normal individuals from cancer patients using MS data. Such progress is especially exciting for the detection of early-stage ovarian cancer patients. Although various statistical methods have been utilized to identify biomarkers from MS data, there has been no systematic comparison among these approaches in their relative ability to analyze MS data. RESULTS: We compare the performance of several classes of statistical methods for the classification of cancer based on MS spectra. These methods include: linear discriminant analysis, quadratic discriminant analysis, k-nearest neighbor classifier, bagging and boosting classification trees, support vector machine, and random forest (RF). The methods are applied to ovarian cancer and control serum samples from the National Ovarian Cancer Early Detection Program clinic at Northwestern University Hospital. We found that RF outperforms other methods in the analysis of MS data.

Algorithms↗

PubMed2003

ABRF-PRG03: phosphorylation site determination.

A fundamental aspect of proteomics is the analysis of post-translational modifications, of which phosphorylation is an important class. Numerous nonradioactivity-based methods have been described for high-sensitivity phosphorylation site mapping. The ABRF Proteomics Research Group has conducted a study to help determine how many laboratories are equipped to take on such projects, which methods they choose to apply, and how successful the laboratories are in implementing particular methodologies. The ABRF-PRG03 sample was distributed as a tryptic digest of a mixture of two proteins with two synthetic phosphopeptides added. Each sample contained 5 pmol of unphosphorylated protein digest, 1 pmol of each phosphopeptide from the same protein, and 200 fmol of a minor protein component. Study participants were challenged to identify the two proteins and the two phosphorylated peptides, and determine the site of phosphorylation in each peptide. Almost all respondents successfully identified the major protein component, whereas only 10% identified the minor protein component. Phosphorylation site analysis proved surprisingly difficult, with only 3 of the 54 laboratories correctly determining both sites of phosphorylation. Various strategies and instruments were applied to this task with mixed success; chromatographic separation of the peptides was clearly helpful, whereas enrichment by metal affinity chromatography met with surprisingly little success. We conclude that locating sites of phosphorylation remains a significant challenge at this level of sample abundance.

Chemistry Techniques, Analytical↗