Chen Chin-Wen, Chen Ting-An, Lin Pei-Yi, Lin Shu-Yu, Hsu Chuan-Chih
Institution of Plant and Microbial Biology, Academia Sinica, Taipei 115201, Taiwan.
Academia Sinica Common Mass Spectrometry Facilities for Proteomics and Protein Modification Analysis, Academia Sinica, Taipei 115201, Taiwan.
J Proteome Res. 2025 Jul 4;24(7):3560-3568. doi: 10.1021/acs.jproteome.5c00185. Epub 2025 Jun 23.
Protein phosphorylation and N-glycosylation are key post-translational modifications (PTMs) in plants that regulate critical signaling processes. However, coanalysis of these PTMs is often complicated by their relatively low abundance and divergent enrichment requirements. Here, we present a single-tip IMAC-HILIC approach that integrates immobilized metal affinity chromatography (IMAC) and hydrophilic interaction chromatography (HILIC) materials within one pipet tip, enabling concurrent enrichment and sequential elution of phosphopeptides and N-glycopeptides. This integrated workflow effectively reduces phosphopeptide coelution during N-glycopeptide elution and streamlines sample processing. In direct comparison with the tandem-tip TIMAHAC method, our single-tip strategy achieves a comparable identification depth and offers superior quantitative accuracy for N-glycopeptides. We further demonstrate its applicability by examining the impact of calcium deprivation in , revealing distinct global changes in both the phosphoproteome and N-glycoproteome. Our optimized protocol thus provides a straightforward and high-throughput platform for dual PTM profiling in complex plant samples, paving the way for broader investigations of PTM crosstalk in diverse physiological and stress responses.
蛋白质磷酸化和N-糖基化是植物中关键的翻译后修饰(PTM),可调节关键的信号传导过程。然而,由于这些PTM的丰度相对较低且富集要求不同,对它们进行共分析往往很复杂。在这里,我们提出了一种单尖端IMAC-HILIC方法,该方法将固定化金属亲和色谱(IMAC)和亲水相互作用色谱(HILIC)材料整合在一个移液器尖端内,能够同时富集和顺序洗脱磷酸肽和N-糖肽。这种集成的工作流程有效地减少了N-糖肽洗脱过程中磷酸肽的共洗脱,并简化了样品处理。与串联尖端TIMAHAC方法直接比较,我们的单尖端策略实现了相当的鉴定深度,并为N-糖肽提供了更高的定量准确性。我们通过研究钙缺乏对[具体植物名称未给出]的影响进一步证明了其适用性,揭示了磷酸蛋白质组和N-糖蛋白质组中明显的全局变化。因此,我们优化的方案为复杂植物样品中的双重PTM分析提供了一个简单且高通量的平台,并为更广泛地研究不同生理和应激反应中的PTM串扰铺平了道路。