Novel algorithms adding new dimensions to mass-spectrometry based proteomics: comprehensive characterization of posttranslational modifications
2018
The technological advances in proteomics are allowing an increasingly detailed
characterization of the complex panorama of post-translational modifications of proteins and
are gradually developing towards an unbiased analysis of peptide modifications. The recently
developed ultra-tolerant database search (open search, “OS”) uses precursor mass tolerances
of hundreds of Daltons, allowing the identification of modified peptides never identified before
by conventional (closed, “CS”) searches. Despite these improvements, OS algorithms still rely
on the chance that the modification leaves enough unaffected fragment ions, thus identifies
only half of the modified peptides and cannot pinpoint the modification site. Furthermore, there
is a need of a generic quantification algorithm able to handle the huge variety of modified
peptides resulting from an OS experiment.
In this Thesis, I present a suit of developed algorithms and tools, designed to overcome the
above-mentioned limitations. Comet-PTM is an improved search engine that applies the
peptide modification mass to the fragmentation series upon score calculations for each peptidespectrum
match (PSM). As a result, we emulate the scores produced by a CS for the same
modification set as variable; double the yield attained by a regular OS and localize the modified
residue with high accuracy. SHIFTS, controls the PSM false-discovery rate of the CometPTM
results through a conservative three-layered approach taking into account the high mass
accuracy of modern mass spectrometers.
PtmSticker annotates the enormous wealth of modifications in a semi-supervised way, allowing
for the first time the generation of a complete map of the modified peptidome as part of an
automated pipeline. For the quantitative analysis of modified peptides, we developed and
validated an algorithm based on a previously proposed WSPP workflow, for the simultaneous
quantification of the modified peptidome, the whole proteome and systems biology. The model
allows detection of PTMs changing independently of the protein abundance change.
These developments were used to characterize the impact of mitochondrial heteroplasmy on
the proteome and on the modified peptidome in mice, revealing that the heteroplasmy causes
oxidative damage in heart OXPHOS proteins.
Keywords:
- Correction
- Source
- Cite
- Save
- Machine Reading By IdeaReader
0
References
0
Citations
NaN
KQI