Inorganic phosphate, which is generated during osteoblast differentiation and mineralization, has recently been identified as an important signaling molecule capable of altering signal transduction pathways and gene expression. A large scale quantitative proteomic investigation of pre-osteoblasts stimulated with inorganic phosphate for 24 h resulted in the identification of 2501 proteins, of which 410 (16%) had an altered abundance ratio of greater than or equal to 1.75-fold, either up or down, revealing both novel and previously defined osteoblastregulated proteins. A pathway/function analysis of these proteins revealed an increase in cell cycle and proliferation that was subsequently verified by conventional biochemical means. To further analyze the mechanisms by which inorganic phosphate regulates cellular protein levels, we undertook a mRNA microarray analysis of preosteoblast cells at 18, 21, and 24 h after inorganic phosphate exposure. Comparison of the mRNA microarray data with the 24-hour quantitative proteomic data resulted in a generally weak overall correlation; the 21-hour RNA sample showed the highest correlation to the proteomic data. However, an analysis of osteoblast relevant proteins revealed a much higher correlation at all time points. A comparison of the microarray and proteomic datasets allowed for the identification of a number of candidate proteins that are post-transcriptionally regulated by elevated inorganic phosphate, including Fra-1, a member of the activator protein-1 family of transcription factors. The analysis of the data presented here not only sheds new light on the important roles of inorganic phosphate in osteoblast function but also begins to address the contribution of post-transcriptional and post-translational regulation to a cell's expressed proteome. The ability to accurately measure changes in both protein abundance and mRNA levels on a system-wide scale represents a novel means to extract data from previously
Cleavable isotope-coded affinity tag (cICAT) reagents were utilized to identify and quantitate protein expression differences in control and inorganic phosphate-treated murine MC3T3-E1 osteoblast cells. Proteins extracted from control and treated cells were labeled with the light and heavy isotopic versions of cICAT reagents, respectively. The cICAT-labeled samples were combined, proteolytically digested, and the cICAT-derivatized peptides isolated using immobilized avidin chromatography. The cICAT-labeled peptides were resolved into 96 fractions by strong cation-exchange (SCX) liquid chromatography (LC). Analysis of the SCX-LC cICAT peptide fractions by microcapillary reversed-phase LC-tandem mass spectrometry resulted in the identification and quantitation of 7227 unique peptides corresponding to 2501 proteins, or roughly 9% of the proteins currently predicted to be encoded by the mouse genome. A false positive analysis indicated a 98% confidence in the peptide identifications. To corroborate changes in abundance measured by cICAT with those detectable in traditionally prepared cell lysate, we chose to analyze cyclin D1. Cyclin D1 has been previously identified as a phosphate-responsive gene and was likewise identified as a phosphate-responsive protein in the current analysis. The 1.76-fold increase in abundance in cyclin D1 determined from cICAT corresponds well with the 2.41-fold increase as determined by Western blotting. These results demonstrate that quantitative proteomics is capable of providing a quantitative view of thousands of proteins in mammalian cells within a defined set of experiments.
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