
Protein phosphorylation is one of the most important post-translational modifications (PTMs) as it participates in regulating various cellular processes and biological functions. It is therefore crucial to identify phosphorylated proteins to construct a phosphor-relay network, and eventually to understand the underlying molecular regulatory mechanism in response to both internal and external stimuli. The changes in phosphorylation status at these novel phosphosites can be accurately measured using a (15)N-stable isotopic labeling in Arabidopsis (SILIA) quantitative proteomic approach in a high-throughput manner. One of the unique characteristics of the SILIA quantitative phosphoproteomic approach is the preservation of native PTM status on protein during the entire peptide preparation procedure. Evolved from SILIA is another quantitative PTM proteomic approach, AQUIP (absolute quantitation of isoforms of post-translationally modified proteins), which was developed by combining the advantages of targeted proteomics with SILIA. Bioinformatics-based phosphorylation site prediction coupled with an MS-based in vitro kinase assay is an additional way to extend the capability of phosphosite identification from the total cellular protein. The combined use of SILIA and AQUIP provides a novel strategy for molecular systems biological study and for investigation of in vivo biological functions of these phosphoprotein isoforms and combinatorial codes of PTMs.
quantitative proteomics, Cell signaling, Quantitative Proteomics, Mass spectrometry-based interactomics, Post translational Modifications (PTM), SILIA, 500, mass spectrometry-based interactomics, Plant culture, plant, Plant, Plant Science, Plants, AQUIP, SB1-1110, post-translational modification, Quantitative proteomics, Cell signaling and regulation, Post-translational modification, cell signaling and regulation
quantitative proteomics, Cell signaling, Quantitative Proteomics, Mass spectrometry-based interactomics, Post translational Modifications (PTM), SILIA, 500, mass spectrometry-based interactomics, Plant culture, plant, Plant, Plant Science, Plants, AQUIP, SB1-1110, post-translational modification, Quantitative proteomics, Cell signaling and regulation, Post-translational modification, cell signaling and regulation
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 8 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
