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根据癌症干细胞的分子特征对疾病进行分期的新方法。我们建议使用物理技术和样本固有的物理现象作为研究分子病理学新领域的基础，并使用这些技术作为当前病理学的辅助手段。需要研究相关模型细胞之间的根本差异线能够阐明生化标记以辅助组织病理学。这些技术是非常互补的 - SIMS 和 MIMS 是质谱技术，ATR-IR 和拉曼是光谱技术。利用这些技术，我们将涵盖全面的元素（同位素）、分子和大分子信息。这将提供翻译分子标记，可以通过更多的临床常规方法来识别，例如本研究阐明的化学物质染色。

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