Targeted mass spectrometry is a powerful technique to support hypothesis-driven proteomics experiments. It alleviates the problem of missing values between samples but also increases the overall sensitivity compared to data-dependent and data-independent acquisition methods. However, a major limitation of targeted proteomics is the compromise that must be found between the number of targets measured in a single run, the duration of the liquid chromatography separation and the overall sensitivity.
Download this app note to discover an innovative solution that overcomes the constraints of current target proteomics by:
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