Data-dependent vs. Data-independent Proteomic Analysis
Listicle Mar 05, 2020 | By Natasha Beeton-Kempen, Ph.D.
In proteomics, one of the major aims is to compare samples of interest to identify which proteins are differentially expressed and to quantify these differences. Mass spectrometry (MS) is one of the most popular methods used for such analyses. There are currently two broad approaches toward generating bottom-up or “shotgun” MS proteomic data: data-dependent acquisition (DDA) and data-independent acquisition (DIA).
This list provides a useful overview of the DDA and DIA approaches in proteomic analysis, including their:
- Characteristics
- Advantages
- Disadvantages
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