Data-dependent vs. Data-independent Proteomic Analysis
List 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:
The host systems often used to manufacture protein-based biotherapeutics can produce their own endogenous proteins, known as host cell proteins (HCPs), which can ultimately contaminate the product. Download this list to learn about some of the most commonly used methods for HCP analysis.READ MORE