Extent of modifications in human proteome samples and their effect on dynamic range of analysis in shotgun proteomics.
The complexity of the human proteome, already enormous at the organism level, increases further in the course of the proteome analysis due to in vitro sample evolution. Most of in vitro alterations can also occur in vivo as post-translational modifications. These two types of modifications can only be distinguished a posteriori but not in the process of analysis, thus rendering necessary the analysis of every molecule in the sample. With the new software tool ModifiComb applied to MS/MS data, the extent of modifications was measured in tryptic mixtures representing the full proteome of human cells. The estimated level of 8-12 modified peptides per each unmodified tryptic peptide present at >or=1% level is approaching one modification per amino acid on average. This is a higher modification rate than was previously thought, posing an additional challenge to analytical techniques. The solution to the problem is seen in improving sample preparation routines, introducing dynamic range-adjusted thresholds for database searches, using more specific MS/MS analysis using high mass accuracy and complementary fragmentation techniques, and revealing peptide families with identification of additional proteins only by unfamiliar peptides. Extensive protein separation prior to analysis reduces the requirements on speed and dynamic range of a tandem mass spectrometer and can be a viable alternative to the shotgun approach.
Nielsen
Michael L
ML
Laboratory for Biological and Medical Mass Spectrometry, Uppsala University, Box 583, Uppsala S-751 23, Sweden.
Savitski
Mikhail M
MM
Zubarev
Roman A
RA
D000595:Amino Acid Sequence; D001330:Electronic Data Processing; D006801:Humans; D008969:Molecular Sequence Data; D010455:Peptides / Q000032:analysis / Q000378:metabolism; D011499:Protein Processing, Post-Translational; D020543:Proteome / Q000032:analysis*; D040901:Proteomics / Q000379:methods*; D020539:Sequence Analysis, Protein; D012984:Software; D014407:Tumor Cells, Cultured
D010455:Peptides; D020543:Proteome