多MSIProcessor:空间代谢学研究数据可视化和分析软件
Siwei Bi1, Manjiangcuo Wang2, Qianlun Pu2
1Department of Plastic and Burn Surgery, West China Hospital, Sichuan University, Chengdu, Sichuan 610041, China.
Analytical chemistry
|December 16, 2023
概括
由于复杂的数据,质谱成像 (MSI) 分析具有挑战性. 多MSIProcessor (MMP) 软件为空间代谢学提供了一个解决方案,可以从各种生物样本中有效地发现生物标志物.
科学领域:
- 生物医学研究的研究.
- 分析化学是一种分析化学.
- 代谢学 代谢学 代谢学
背景情况:
- 质谱成像 (MSI) 是生物医学研究中分子可视化的强大工具.
- 分析复杂的,高维的MSI数据用于空间解析的代谢学和生物标志物发现,存在重大挑战.
- 目前的方法难以从批量MSI数据集中挖掘与生物信息学相关的峰值.
研究的目的:
- 引入多MSIProcessor (MMP),一种用于处理和分析质谱成像数据的新型软件.
- 为空间代谢学提供一个全面的平台,整合数据处理,可视化和生物标志物发现.
- 为了应对分析批量MSI数据的挑战,并使空间解析的新陈代谢学能够完成.
主要方法:
- 开发多MSIProcessor (MMP) 软件,集成用于数据读取,可视化,处理和生物标志物发现的功能.
- 支持多种数据输入格式,包括AFADESI-MSI,mzXML和imzmL,确保与各种MSI平台 (例如MALDI/SIMS-MSI) 的兼容性.
- 应用MMP来分析具有复杂异质性的多个临床生物样本,证明其在数据质量评估和差异性峰值分析方面的能力.
主要成果:
- MMP允许深度挖掘批量MSI数据,具有灵活的适应性和开源代码,用于个性化分析.
- 证明了对异质临床生物样本的完整MSI分析工作流程的快速建立.
- 成功选和注释差异性MS峰值,确定异常的代谢途径,并评估批量样本数据质量.
结论:
- MMP提供了一个新的,可适应的平台,用于对多个样本的空间代谢学分析.
- 该软件可提供全面的MSI数据分析,满足各种研究要求.
- 通过空间解析的代谢学,MMP增强了生物标志物发现和对生物功能的理解.
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