Penny Jack, Arefian Mohammad, Schroeder Gunnar N, Bengoechea José A, Collins Ben C
School of Biological Sciences, Queen's University of Belfast, Belfast, UK.
Wellcome-Wolfson Institute for Experimental Medicine, Queen's University Belfast, Belfast, UK.
Proteomics. 2023 Apr;23(7-8):e2200038. doi: 10.1002/pmic.202200038. Epub 2023 Mar 10.
Data independent acquisition (DIA/SWATH) MS is a primary strategy in quantitative proteomics. diaPASEF is a recent adaptation using trapped ion mobility spectrometry (TIMS) to improve selectivity/sensitivity. Complex DIA spectra are typically analyzed with reference to spectral libraries. The best-established method for generating libraries uses offline fractionation to increase depth of coverage. More recently strategies for spectral library generation based on gas phase fractionation (GPF), where a representative sample is injected serially using narrow DIA windows that cover different mass ranges of the complete precursor space, have been introduced that performed comparably to deep offline fractionation-based libraries. We investigated whether an analogous GPF-based approach that accounts for the ion mobility (IM) dimension is useful for the analysis of diaPASEF data. We developed a rapid library generation approach using an IM-GPF acquisition scheme in the m/z versus 1/K0 space requiring seven injections of a representative sample and compared this with libraries generated by direct deconvolution-based analysis of diaPASEF data or by deep offline fractionation. We found that library generation by IM-GPF outperformed direct library generation from diaPASEF and had performance approaching that of the deep library. This establishes the IM-GPF scheme as a pragmatic approach to rapid library generation for analysis of diaPASEF data.
数据独立采集(DIA/SWATH)质谱是定量蛋白质组学中的一种主要策略。diaPASEF是最近采用捕集离子淌度质谱法(TIMS)以提高选择性/灵敏度的一种方法。复杂的DIA谱通常参照谱库进行分析。生成谱库最成熟的方法是使用离线分级分离以增加覆盖深度。最近引入了基于气相分级分离(GPF)的谱库生成策略,即使用覆盖完整前体空间不同质量范围的窄DIA窗口依次进样代表性样品,其性能与基于深度离线分级分离的谱库相当。我们研究了一种类似的考虑离子淌度(IM)维度的基于GPF的方法对于分析diaPASEF数据是否有用。我们开发了一种在质荷比与1/K0空间中使用IM-GPF采集方案的快速谱库生成方法,该方法需要进样七次代表性样品,并将其与通过对diaPASEF数据进行基于直接去卷积的分析或深度离线分级分离生成的谱库进行比较。我们发现通过IM-GPF生成谱库优于从diaPASEF直接生成谱库,其性能接近深度谱库。这确立了IM-GPF方案作为一种实用的方法用于快速生成谱库以分析diaPASEF数据。