Putting Humpty Dumpty Back Together Again: What Does Protein Quantification Mean in Bottom-Up Proteomics?
蛋白质组学
计算生物学
定量蛋白质组学
基因
蛋白质测序
RNA剪接
选择性拼接
生物
生物信息学
作者
Deanna L. Plubell,Lukas Käll,Bobbie-Jo M. Webb-Robertson,Lisa M. Bramer,Ashley N. Ives,Neil L. Kelleher,Lloyd M. Smith,Thomas J. Montine,Christine C Wu,Michael J. MacCoss
Bottom-up proteomics provides peptide measurements and has been invaluable for moving proteomics into large-scale analyses. Commonly, a single quantitative value is reported for each protein-coding gene by aggregating peptide quantities into protein groups following protein inference or parsimony. However, given the complexity of both RNA splicing and post-translational protein modification, it is overly simplistic to assume that all peptides that map to a singular protein-coding gene will demonstrate the same quantitative response. By assuming that all peptides from a protein-coding sequence are representative of the same protein, we may miss the discovery of important biological differences. To capture the contributions of existing proteoforms, we need to reconsider the practice of aggregating protein values to a single quantity per protein-coding gene.