Spectrometric and Spectroscopic Molecular Pathology and Diagnosis

光谱分析和光谱分子病理学与诊断

• 批准号: EP/E039855/1
• 负责人: Matthew Baker
• 金额: $ 30.84万
• 依托单位: University of Manchester
• 依托单位国家: 英国
• 项目类别: Fellowship
• 财政年份: 2007
• 资助国家: 英国
• 起止时间: 2007 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=EP%2FE039855%2F1
• 关键词: Spectrometric; Spectroscopic; Molecular; Pathology; Diagnosis

This proposal seeks to discover a novel process for staging disease based upon the molecular characteristics of cancer stem cells. We propose to use physical techniques and inherent physical phenomena of the samples as the basis to investigate a new realm for molecular pathology and also to use these techniques as an aid to current pathology.The research is needed into the fundamental differences between the associated model cell lines to enable the elucidation of biochemical markers to aid histopathology. The techniques are very complimentary - SIMS and MIMS are mass spectral techniques and ATR-IR and Raman are spectroscopic. Utilising these techniques we will cover the full range of elemental (isotopic), molecular and macromolecular information. This will provide translational molecular markers which can be identified by more clinically routine methods e.g staining for chemicals elucidated by this study.

该提案旨在发现一种基于癌症干细胞分子特征的疾病分期新方法。我们建议使用物理技术和固有的物理现象的样品为基础，以研究一个新的领域的分子病理学，也使用这些技术作为一个辅助当前pathology.The研究需要到相关的模型细胞系之间的根本差异，使生化标志物的澄清，以帮助组织病理学。这些技术是非常互补的-西姆斯和MIMS是质谱技术，ATR-IR和拉曼是光谱技术。利用这些技术，我们将涵盖元素（同位素），分子和大分子信息的全部范围。这将提供翻译分子标记物，这些标记物可以通过临床上更常规的方法（例如本研究阐明的化学物质染色）进行鉴定。

项目成果

Insight into the swelling mechanism involved in the recovery of serial numbers erased from polymer surfaces

深入了解从聚合物表面擦除的序列号恢复所涉及的溶胀机制

• DOI: 10.1002/sia.3510
• 发表时间: 2011
• 期刊: Surface and Interface Analysis
• 影响因子: 1.7
• 作者: Conlan X