Basharat Abdul Rehman, Xiong Xingzhao, Xu Tian, Zang Yong, Sun Liangliang, Liu Xiaowen
Department of BioHealth Informatics, Luddy School of Informatics, Computing and Engineering, Indiana University-Purdue University Indianapolis, Indianapolis, Indiana 46202, United States.
Deming Department of Medicine, Tulane University School of Medicine, New Orleans, Louisiana 70112, United States.
J Proteome Res. 2025 Jan 3;24(1):55-64. doi: 10.1021/acs.jproteome.4c00293. Epub 2024 Dec 6.
Top-down mass spectrometry is widely used for proteoform identification, characterization, and quantification owing to its ability to analyze intact proteoforms. In the past decade, top-down proteomics has been dominated by top-down data-dependent acquisition mass spectrometry (TD-DDA-MS), and top-down data-independent acquisition mass spectrometry (TD-DIA-MS) has not been well studied. While TD-DIA-MS produces complex multiplexed tandem mass spectrometry (MS/MS) spectra, which are challenging to confidently identify, it selects more precursor ions for MS/MS analysis and has the potential to increase proteoform identifications compared with TD-DDA-MS. Here we present TopDIA, the first software tool for proteoform identification by TD-DIA-MS. It generates demultiplexed pseudo MS/MS spectra from TD-DIA-MS data and then searches the pseudo MS/MS spectra against a protein sequence database for proteoform identification. We compared the performance of TD-DDA-MS and TD-DIA-MS using K-12 MG1655 cells and demonstrated that TD-DIA-MS with TopDIA increased proteoform and protein identifications compared with TD-DDA-MS.
自上而下的质谱分析法因其能够分析完整的蛋白质异构体而被广泛用于蛋白质异构体的鉴定、表征和定量分析。在过去十年中,自上而下的蛋白质组学一直由自上而下的数据依赖型采集质谱法(TD-DDA-MS)主导,而自上而下的数据非依赖型采集质谱法(TD-DIA-MS)尚未得到充分研究。虽然TD-DIA-MS会产生复杂的多重串联质谱(MS/MS)图谱,难以可靠地进行鉴定,但与TD-DDA-MS相比,它会选择更多的前体离子进行MS/MS分析,并且有增加蛋白质异构体鉴定的潜力。在此,我们展示了TopDIA,这是首个用于通过TD-DIA-MS鉴定蛋白质异构体的软件工具。它从TD-DIA-MS数据生成解复用的伪MS/MS图谱,然后针对蛋白质序列数据库搜索伪MS/MS图谱以进行蛋白质异构体鉴定。我们使用K-12 MG1655细胞比较了TD-DDA-MS和TD-DIA-MS的性能,结果表明,与TD-DDA-MS相比,结合TopDIA的TD-DIA-MS增加了蛋白质异构体和蛋白质的鉴定数量。