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Sharon S. Chen

Researcher at University of California, Los Angeles

Publications -  14
Citations -  2020

Sharon S. Chen is an academic researcher from University of California, Los Angeles. The author has contributed to research in topics: Phosphorylation & Bottom-up proteomics. The author has an hindex of 11, co-authored 14 publications receiving 1885 citations. Previous affiliations of Sharon S. Chen include University of Washington & Institute for Systems Biology.

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The PeptideAtlas project

TL;DR: A summary of the process and details about the Human, Drosophila and Yeast PeptideAtlas builds are presented and a uniform statistical validation ensures a consistent and high-quality set of peptide and protein identifications.
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Computational prediction of proteotypic peptides for quantitative proteomics

TL;DR: Using >600,000 peptide identifications generated by four proteomic platforms, it is shown that characteristic physicochemical properties of these peptides were used to develop a computational tool that can predict proteotypic peptides for any protein from any organism, for a given platform, with >85% cumulative accuracy.
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Mass spectrometry-based quantitative proteomic profiling.

TL;DR: Developing the technology for targeting sub-proteomes on a functional basis - such as selecting proteins with differential expression profiles from mass spectrometric analyses, for further mass spectroscopic sequencing in an intelligent manner--is expected in the near future.
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Abundance Ratio-Dependent Proteomic Analysis by Mass Spectrometry

TL;DR: A novel approach to quantitative proteomics is described, based on a highly accurate algorithm for the automated quantification of chromatographically fractionated, isotope-coded affinity-tagged peptides and MALDI quadrupole time-of-flight tandem mass spectrometry for their identification.