Going Library-Free for Protein Identification
To obtain accurate quantification information for proteins across sample sets, the proteins present in the sample must first be identified. The traditional workflow for protein identification is a data dependent workflow (DDA), but over the last 10 years, data independent acquisition (DIA or SWATH DIA) has emerged as a powerful workflow for quantitative proteomics. Recent advances in algorithms have increased the ease of using DIA for protein identification workflows by removing the need to generate an experimental spectral library in advance.
Download this app note to discover a SWATH DIA workflow that:
- Has the speed and sensitivity to acquire high-quality, high-resolution MS/MS data
- Reduces the need to generate experimental libraries
- Was used to identify 2-fold more proteins than a DDA workflow