Discovery Vs. Targeted Proteomics
Strategies to improve the sensitivity and scope of proteomic analysis often require large sample quantities and multi-dimensional fractionation, which sacrifices throughput. Alternatively, efforts to improve the sensitivity and throughput of protein quantification limit the number of peptides that can be monitored per MS run. For this reason, proteomics research is typically divided into two categories: discovery and targeted proteomics. Discovery proteomics optimizes protein identification by spending more time and effort per sample and reducing the number of samples analyzed. In contrast, targeted proteomics strategies limit the number of features that will be monitored and then optimize the chromatography, instrument tuning and acquisition methods to achieve the highest sensitivity and throughput for hundreds or thousands of samples.
Read more about this topic: Quantitative Proteomics
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—Laurence Sterne (1713–1768)