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Shao En Ong

Researcher at University of Washington

Publications -  95
Citations -  21414

Shao En Ong is an academic researcher from University of Washington. The author has contributed to research in topics: Proteomics & Kinase. The author has an hindex of 38, co-authored 81 publications receiving 20108 citations. Previous affiliations of Shao En Ong include University of Southern Denmark & University of Washington Medical Center.

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Stable isotope labeling by amino acids in cell culture, SILAC, as a simple and accurate approach to expression proteomics.

TL;DR: SILAC is a simple, inexpensive, and accurate procedure that can be used as a quantitative proteomic approach in any cell culture system and is applied to the relative quantitation of changes in protein expression during the process of muscle cell differentiation.
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A Mitochondrial Protein Compendium Elucidates Complex I Disease Biology

TL;DR: This work predicts 19 proteins to be important for the function of complex I (CI) of the electron transport chain and validate a subset of these predictions using RNAi, including C8orf38, which is shown to have an inherited mutation in a lethal, infantile CI deficiency.
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Mass spectrometry-based proteomics turns quantitative.

TL;DR: Two recently developed methodologies offer the opportunity to obtain quantitative proteomic information by comparing the signals from the same peptide under different conditions, and stable isotope labels facilitates direct quantification from the mass spectra.
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Trypsin Cleaves Exclusively C-terminal to Arginine and Lysine Residues

TL;DR: This work uses the sub-parts per million mass accuracy of a new ion trap Fourier transform mass spectrometer to achieve more than a 100-fold increased confidence in peptide identification compared with typical ion trap experiments and shows that trypsin cleaves solely C-terminal to arginine and lysine.
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Nucleolar proteome dynamics

TL;DR: The data establish a quantitative proteomic approach for the temporal characterization of protein flux through cellular organelles and demonstrate that the nucleolar proteome changes significantly over time in response to changes in cellular growth conditions.