Publications by authors named "Caroline A Currid"

This report summarises selected presentations that focused on aspects of biomarker discovery and validation, imaging in preclinical and clinical development and biomarkers in clinical drug development, as discussed during the Third Annual Biomarkers Congress held in Manchester, UK on 14 - 15 May 2008. More than 140 delegates attended this event to discuss the application of biomarkers to all facets of the drug development process. The conference consisted of five intensive streams discussing current and future directions in: i) biomarker discovery and validation; ii) molecular diagnostics, data integration, data analysis, modelling and bioinformatics; iii) biomarkers in clinical drug development; iv) biomarker discovery and validation: therapeutic areas; and v) imaging in preclinical and clinical development and safety biomarkers.

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The p21Waf1/Cip1/Sdi1 cyclin-dependent kinase inhibitor is a key regulator of cell cycle progression and has also been observed to influence the expression of genes associated with several age-related disorders. Previous work has shown that expression of p21 in tumour cells mediates an antiapoptotic and mitogenic paracrine effect, which is in contrast to the arrested state of p21-expressing cells. Here, we have employed SELDI-MS technology to characterise, at a proteomic level, factors released from HT-1080 human fibrosarcoma cells displaying inducible p21 expression.

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The fibulins are a family of secreted glycoproteins, which are characterised by repeated epidermal-growth-factor-like domains and a unique C-terminal structure. Six distinct fibulin genes, encoding at least nine protein products generated by alternative splicing, have been identified. Considerable evidence is available pointing towards a structural role for fibulins within the extracellular matrix.

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The incidence of melanoma is increasing rapidly, with advanced lesions generally failing to respond to conventional chemotherapy. Here, we utilized DNA microarray-based gene expression profiling techniques to identify molecular determinants of melanoma progression within a unique panel of isogenic human melanoma cell lines. When a poorly tumorigenic cell line, derived from an early melanoma, was compared with two increasingly aggressive derivative cell lines, the expression of 66 genes was significantly changed.

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