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化学量子阵列:用于质谱成像的定量工具
Sylwia A Stopka1,2, Daniela Ruiz1,3, Gerard Baquer1
1Department of Neurosurgery, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts 02115, United States.
Analytical chemistry
|July 20, 2023
概括
化学QuantArray增强了矩阵辅助激光脱离离电离质谱成像 (MALDI-MSI) 用于代谢物量化. 这种新的方法通过直接在组织微阵列上创建校准曲线来提高临床应用的精度和准确性.
科学领域:
- 分析化学 分析化学
- 生物医学成像技术 生物医学成像技术
- 代谢学 代谢学 代谢学
背景情况:
- 矩阵辅助激光吸附离子化质谱成像 (MALDI-MSI) 提供空间代谢物检测,但需要更好的临床翻译.
- 目前的MALDI-MSI方法在临床应用中的吞吐量,精度和准确性方面面临挑战.
研究的目的:
- 开发一种使用MALDI-MSI进行精确和准确的代谢物量化的改进方法.
- 提高MALDI-MSI用于分析组织样本的临床可行性.
主要方法:
- 开发了"化学量子阵列",一种凝组织微阵列 (TMA) 模具,以同位素标记的代谢物标准的连续稀释.
- 将TMA冷切割到组织均质上以生成校准曲线.
- 实施自动删除像素并研究强度正常化策略,包括内部标准.
主要成果:
- 化学QuantArray使内源代谢产物的广泛动态范围量化成为可能.
- 该技术可以将MALDI幻灯片上的校准标准空间减少80%左右.
- 通过像素去除和规范化实现精度 (<20% RSD) 和准确性 (<20% DEV).
- 在单个幻灯片上成功量化了14个临床瘤样本中的多重精氨酸代谢物.
结论:
- 化学QuantArray显著提高了MALDI-MSI代谢物量化的分析性能.
- 这种方法提高了临床和翻译研究的实际可行性.
- 该技术为复杂的生物样本中的空间代谢学提供了更有效和可靠的方法.
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