DIA+: A Data-Independent Acquisition Method Combining Multiple Precursor Charges to Improve Peptide Signal
Eva Borràs1,2, Eduard Sabidó1,2
1Proteomics Unit, Center for Genomic Regulation , Barcelona Institute of Science and Technology (BIST) , 08003 Barcelona , Spain.
Analytical Chemistry
|October 9, 2018
Summary
Data-independent acquisition (DIA) methods enhance proteome-wide analysis. A new DIA+ method improves peptide identification and quantification by combining signals from different charge states, boosting sensitivity and data richness.
Area of Science:
- Proteomics
- Analytical Chemistry
- Biochemistry
Background:
- Data-independent acquisition (DIA) has expanded targeted proteomics to proteome-wide scales.
- While improving reproducibility, DIA methods face limitations in sensitivity for complete proteome quantification.
Purpose of the Study:
- To present DIA+, a novel data-independent acquisition method.
- To enhance peptide identification and quantification in complex samples.
Main Methods:
- Developed DIA+, a data-independent acquisition method.
- Combined signals from identical peptides across different charge states.
- Applied the method to complex biological samples.
Main Results:
- Achieved improved signal-to-noise ratios.
- Increased the number of detected fragments per peptide.
- Significantly enhanced the number of identified and quantified peptides.
Conclusions:
- DIA+ offers superior performance over existing DIA methods.
- The method improves sensitivity and data completeness for proteome-wide analyses.
- DIA+ facilitates more comprehensive peptide quantification in complex biological systems.
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