Scientific ReportsGenomicsPeer-reviewed journal article
A Methodological Assessment and Characterization of Genetically-Driven Variation in Three Human Phosphoproteomes
Brett W. EngelmanniD, Chiaowen Joyce HsiaoiD, John BlischakiD, Yannick Fourne, Zia KhaniD, Michael FordiD, Yoav GiladiD
Abstract
Phosphorylation of proteins on serine, threonine, and tyrosine residues is a ubiquitous post-translational modification that plays a key part of essentially every cell signaling process. It is reasonable to assume that inter-individual variation in protein phosphorylation may underlie phenotypic differences, as has been observed for practically any other molecular regulatory phenotype. However, we do not know much about the extent of inter-individual variation in phosphorylation because it is quite challenging to perform a quantitative high throughput study to assess inter-individual variation in any post-translational modification. To test our ability to address this challenge with current technology, we quantified phosphorylation levels for three genotyped human cell lines within a nested experimental framework, and found that genetic background is the primary determinant of phosphoproteome variation. We uncovered multiple functional, biophysical, and genetic associations with germline driven phosphopeptide variation. Variants affecting protein levels or structure were among these associations, with the latter presenting, on average, a stronger effect. Interestingly, we found evidence that is consistent with a phosphopeptide variability buffering effect endowed from properties enriched within longer proteins. Because the small sample size in this pilot study may limit the applicability of our genetic observations, we also undertook a thorough technical assessment of our experimental workflow to aid further efforts. Taken together, these results provide the foundation for future work to characterize inter-individual variation in post-translational modification levels and reveal novel insights into the nature of inter-individual variation in phosphorylation.
- organism: human
- assay: proteomics
- research focus: variant effect prediction
- approach: statistical model
- Citations
- 2
- FWCI
- 0.11
- Field percentile
- 37th percentile
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