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PulseDIA: Data-Independent Acquisition Mass Spectrometry Using Multi-Injection Pulsed Gas-Phase Fractionation
Xue Cai1,2, Weigang Ge1,2, Xiao Yi1,2
1Zhejiang Provincial Laboratory of Life Sciences and Biomedicine, Key Laboratory of Structural Biology of Zhejiang Province, School of Life Sciences, Westlake University, 18 Shilongshan Road, Hangzhou 310024, Zhejiang, China.
PulseDIA, a novel multi-injection gas-phase fractionation strategy, significantly enhances data-independent acquisition mass spectrometry (DIA-MS) performance. This method increases peptide and protein group identification, improving proteomic profiling sensitivity and reproducibility.
Area of Science:
- Proteomics
- Mass Spectrometry
- Analytical Chemistry
Background:
- Data-independent acquisition (DIA) mass spectrometry (MS) performance relies on peptide precursor separation efficiency.
- Orbitrap-based MS has limitations in separation efficiency due to slower scanning rates compared to time-of-flight (TOF)-based MS.
Purpose of the Study:
- To introduce PulseDIA, a multi-injection gas-phase fractionation (GPF) strategy to enhance DIA-MS.
- To improve peptide and protein identification sensitivity and reproducibility in proteomic analyses.
Main Methods:
- PulseDIA divides conventional DIA analysis into multiple injections with complementary windows.
- The method was tested using mouse liver digests and human cholangiocarcinoma (CCA) tissue samples.
Main Results:
- PulseDIA identified up to 50% more peptides and 29% more protein groups than conventional DIA in mouse liver digests.
- Compared to conventional multi-injection GPF, PulseDIA identified more peptides and protein groups with higher flexibility.
- In CCA samples, PulseDIA identified 7796 protein groups, a 14% increase over conventional DIA, with reduced missing values and detection of novel dysregulated proteins.
Conclusions:
- PulseDIA is an effective strategy for enhancing DIA-MS sensitivity and reproducibility.
- The method offers significant improvements in peptide and protein identification, particularly for complex proteomic samples.
- PulseDIA advances proteomic profiling in applications like cancer research, revealing previously undetected biomarkers.
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