Application and optimization of label-free shotgun approaches in the study of Quercus ilex

Advances in proteomic equipment, algorithms and wet protocols are being increasingly reported. Each step in the experimental workflow must be adapted and optimized to the target experimental system and objectives. The influence of the amount of peptides loaded onto the column in shotgun platforms has rarely been considered to date even though it dictates the confidence with which proteins can be identified and quantified. An experiment using variable dilutions of protein equivalent mixtures of root, leaf and seed tissue extracts of Quercus ilex was performed by subjecting BSA protein equivalent amounts of 1-100 mu g to SDS-PAGE, the resulting bands being trypsin digested and peptides (10-1000 ng protein equivalents) loaded onto an LC column. Mass spectra were used to identify proteins against the in-house Q. ilex transcriptome database. Determinations included SEQUEST quantification (average of the three most abundant distinct peptides for each protein) and proteotypic peptides. The number of proteins identified was found to depend on peptide load and to peak at 2054 with 600 ng. Smaller loads led to linearly decreasing identifications from 1859 with 400 ng to 495 with 10 ng. Both quantification strategies provided similar results. The linear dynamic range was from 100 to 600 ng.

Automated summary

Advances in proteomic equipment, algorithms, and wet protocols are continuously being reported, requiring adaptation and optimization of experimental workflows to target systems and objectives. The amount of peptides loaded onto the column in shotgun platforms significantly influences protein identification and quantification, with higher loads leading to more identified proteins.