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Phosphoproteome analysis of rat L6 myotubes using reversed-phase C18 prefractionation and titanium dioxide enrichment. | LitMetric

AI Article Synopsis

  • The rat L6 myotube model is crucial for studying the signaling pathways in skeletal muscle, particularly regarding phosphorylation events that enhance our understanding of kinase-substrate interactions and regulatory mechanisms.
  • Using advanced mass spectrometry-based proteomics, researchers identified 2230 unique phosphopeptides from 1195 proteins, achieving a high level of confidence with a false-discovery rate below 1.0%.
  • The analysis revealed several significant signaling pathways, including the MAPK and IGF-1/Insulin pathways, along with specific Ser and Thr motifs derived from the phosphorylation data.

Article Abstract

The rat L6 myotubes is an important in vitro model system for studying signaling pathways in skeletal muscle. Exploring phosphorylation events involved in the skeletal muscle is very significant for elucidating the kinase-substrate relationship, understanding regulatory mechanisms involved in signaling pathways and providing insights into numerous cell processes. Here, we used mass spectrometry-based proteomics to conduct global phosphoproteome profiling of rat L6 myotubes. Using an efficient phosphoproteomic strategy including prefractionation of tryptic peptide mixtures with self-packed RP C18 columns, phosphopeptide enrichment with TiO(2), and 2D-LC (SCX/RP)-MS/MS analysis, a total of 2230 unique phosphopeptides from 1195 proteins were identified with a false-discovery rate of less than 1.0% using a target/decoy database searching strategy. After determining the degree of certainty of the phosphorylation site location (Ascore value >or=19), 11 Ser motifs and one Thr motif were derived from our data set using the Motif-X algorithm. Several potential signaling pathways were found in our myotubes phosphoproteome, such as the MAPK signaling pathway and the IGF-1/Insulin signaling pathway.

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Source
http://dx.doi.org/10.1021/pr900646kDOI Listing

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