质谱成像教程:从癌症生物标志物发现到临床应用
Amirsalar Mansouri1, Nipun Babu Varukattu1, Brennan J Curole1
1Department of Interdisciplinary Oncology, LSU LCMC Health Cancer Center, LSU Health-New Orleans, New Orleans, USA.
Analytica chimica acta
|January 23, 2026
概括
质谱成像 (MSI) 可视化组织中的生物分子,用于发现癌症生物标志物. 本教程提供了改进数据分析的工具,增强MSI.
科学领域:
- 分析化学 分析化学
- 生物医学科学 生物医学科学
- 分子成像学分子成像学
背景情况:
- 质谱成像 (MSI) 在生物组织中检测和可视化生物分子,包括癌症生物标志物.
- 诸如电喷离子化 (ESI) 和矩阵辅助激光脱吸/离子化 (MALDI) 等创新已经扩大了分子分析的能力.
- 通过揭示分子的空间分布,MSI为瘤微环境提供了独特的见解.
研究的目的:
- 为提供有关质谱成像数据处理和分析工具的教程.
- 解决传统的基于矩阵的MSI的局限性,例如特异性,可重复性和数据解释.
- 通过提高数据集的准确性和可重复性来促进MSI的临床采用.
主要方法:
- 利用电离技术 (例如,DESI,REIMS) 和质量标签 (HMI,PC) 的进步.
- 采用先进的数据处理,规范化和机器学习来处理复杂的数据集.
- 介绍了各种工具来支持MSI数据处理和分析工作流.
主要成果:
- 确定传统MSI和无矩阵替代方案的局限性.
- 强调需要先进的数据处理来克服诸如低电离效率和复杂数据解释等挑战.
- 证明MSI在瘤学,神经学,传染病和药物开发方面的潜力.
结论:
- MSI是癌症生物标志物发现和理解瘤微环境的强大技术.
- 先进的数据处理和分析工具对于提高MSI准确性和可重复性至关重要.
- 基于MSI的工具对手术内和护理场所应用有前途,推动临床和转化研究.
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