Efficient Hydrogen–Deuterium Exchange in Matrix-Assisted Laser Desorption/Ionization Mass Spectrometry Imaging for Confident Metabolite Identification

Efficient Hydrogen–Deuterium Exchange in Matrix-Assisted Laser Desorption/Ionization Mass Spectrometry Imaging for Confident Metabolite Identification
复制标题

基质辅助激光解吸/电离质谱成像中的高效氢-氘交换可实现可靠的代谢物鉴定

DOI:
10.1021/acs.analchem.2c00978
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发表时间:
2022
影响因子:
7.4
通讯作者:
Lee, Young Jin
Lee, Young Jin
中科院分区:
化学1区
文献类型:
--
作者:
Rensner, Josiah J.;Lee, Young Jin

文献摘要

相似文献

高效的氢-氘交换(HDX)是一种用于低真空基质辅助激光解吸/电离(MALDI)质谱成像(MSI)的技术。通过将D2 O蒸气引入加热的MALDI源中并结合氘标记的基质,可以实现73-85%的HDX效率,这允许正确确定多达17个不稳定氢的可能H/D交换的数目。这提供了有价值的正交信息,以m/z,允许增加代谢物鉴定的信心,同时保留空间信息MSI供应。当与高通量METASPACE注释相结合时,这种方法可以系统地改善MALDI-MS成像中的非靶向代谢物注释。将该方法应用于浮萍顶面、底面和中段的MALDI-MS成像。在使用BraChem数据库使用10%的错误发现率进行的总共56个样本注释中,其中31个注释(55%)与我们的HDX数据匹配,提供了额外的置信度。对于剩下的45%,我们的数据使我们能够缩小结构可能性并消除不正确的结构,大大提高了代谢物鉴定的信心。
Highly efficient hydrogen–deuterium exchange (HDX) is developed for mass spectrometry imaging (MSI) with low-vacuum matrix-assisted laser desorption/ionization (MALDI). A HDX efficiency of 73–85% is achieved by introducing D2O vapor into a heated MALDI source in combination with a deuterium-labeled matrix, which allows correct determination of the number of possible H/D exchanges for up to 17 labile hydrogens. This provides valuable orthogonal information to supplementm/z, allowing for increased confidence in metabolite identification while retaining the spatial information MSI supplies. When combined with high-throughput METASPACE annotation, this approach can systematically improve untargeted metabolite annotations in MALDI-MS imaging. The developed method was applied to MALDI-MS imaging of the top surface, bottom surface, and middle section ofLemna minorfronds. Out of a total of 56 on-sample annotations made with the BraChem database using a 10% false discovery rate, 31 of these annotations (55%) matched our HDX data, providing additional confidence. For the remaining 45%, our data allowed us to narrow down structural possibilities and eliminate incorrect structures, greatly increasing confidence in metabolite identification.