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预测酸含量的酸含量

Tana V Palomino1, David C Muddiman1

  • 1FTMS Laboratory for Human Health Research, Department of Chemistry, North Carolina State University, Raleigh, North Carolina 27695, USA.

Journal of the American Society for Mass Spectrometry
|June 8, 2023
PubMed
概括
此摘要是机器生成的。

一个新的规则使用质谱学预测了糖上酸的存在. 这种方法增强了在生物组织中分析化N结合甘的分析.

关键词:
在 IR-MALDESII 中.与N链接的甘氨酸.化的使用方法酸是酸的一种.

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科学领域:

  • 生物化学 生物化学
  • 分析化学 分析化学
  • 格莱科米克斯 (Glycomics) 是一个有趣的药物.

背景情况:

  • 酸在生理和病理过程中至关重要.
  • 它们的不稳定性使质谱分析复杂化.
  • 红外矩阵辅助激光吸附电喷离电离 (IR-MALDESI) 可以检测完整的化N链糖体,而无需衍生.

研究的目的:

  • 开发一种新的规则,用于预测糖上酸的数量.
  • 改进可靠的注释和基甘的组成确定.
  • 提高IR-MALDESI在组织中研究化甘氨酸的能力.

主要方法:

  • 用甲固定嵌入的人类脏组织的分析.
  • 在负离子模式下使用红外矩阵辅助激光吸附电喷离电离 (IR-MALDESI).
  • 应用基于实验同位素分布的新规则: #酸 = 电荷状态 - #添加物 (z - #Cl-).

主要成果:

  • 建立了一个新的规则来预测糖上酸的数量.
  • 该规则利用了电荷状态和 adducts 之间的关系.
  • 这种方法提供了除了准确的质量测量之外的可靠的甘氨酸注释.

结论:

  • 开发的规则显著改善了化N链 glycans的分析.
  • 结合这个规则,IR-MALDESI为生物样本中的甘氨酸研究提供了增强的能力.
  • 这一进步有助于更深入地了解酸在健康和疾病中的作用.