Peptide-to-Protein Summarization: An Important Step for Accurate Quantification in Label-Based Proteomics

摘要: Quantitative MS/MS-based measurements are assessed at the peptide spectrum level and substantial variance is frequently observed for any given protein. Protein quantification requires a peptide-to-protein summarization step. This important step has been little investigated most strategies only rely on quantitative values, ignoring wealth of additional feature information available spectra.In this chapter, we discuss methods that can be applied label-based protein quantification. In particular, focus using peptide characteristics in addition to values abundance inference. We highlight significant relations features accuracy assess the reliability spectra development correction. As result, lower quality identified, their impact minimized overall improved. Here, investigate different detail, emphasize benefits integrating spectrum feature information, provide recommendations usage methods.