scispace - formally typeset
K

K. W. Michael Siu

Researcher at York University

Publications -  220
Citations -  8760

K. W. Michael Siu is an academic researcher from York University. The author has contributed to research in topics: Mass spectrometry & Ion. The author has an hindex of 52, co-authored 219 publications receiving 8381 citations. Previous affiliations of K. W. Michael Siu include National Research Council & University of Hong Kong.

Papers
More filters
Journal ArticleDOI

Search for cancer markers from endometrial tissues using differentially labeled tags iTRAQ and cICAT with multidimensional liquid chromatography and tandem mass spectrometry.

TL;DR: The chaperonin 10 result confirms the earlier observation of overexpression in EmCa tissues using surface-enhanced laser desorption/ionization mass spectrometry, and may confer sufficient selectivity for diagnosing and screening of EmCa.
Journal ArticleDOI

Discovery and verification of head-and-neck cancer biomarkers by differential protein expression analysis using iTRAQ labeling, multidimensional liquid chromatography, and tandem mass spectrometry.

TL;DR: Verification of differential expression of YWHAZ, stratifin, and S100-A7 proteins in clinical samples of HNSCCs and paired and non-paired non-cancerous tissues by immunohistochemistry, immunoblotting, and RT-PCR confirmed their overexpression in head-and-neck cancer.
Journal ArticleDOI

Molecular radical cations of oligopeptides

TL;DR: An unprecedented method of producing molecular radical cations of oligopeptides in the gas phase has been discovered in this paper, which is similar to those in the metalloradical enzyme process in photosystem II.
Journal ArticleDOI

Multiple Reaction Monitoring of mTRAQ-Labeled Peptides Enables Absolute Quantification of Endogenous Levels of a Potential Cancer Marker in Cancerous and Normal Endometrial Tissues

TL;DR: The 4-fold higher level of pyruvate kinase amount in the cancer homogenate reported in this study is considerably higher than the 2-foldHigher ratio reported across 20 cancer samples in the discovery phase with the iTRAQ technique, suggesting that there exists a possibility that the dynamic range of ratios determined by the iTraQ technique may have been compressed.
Journal ArticleDOI

Single-parent evolution algorithm and the optimization of Si clusters.

TL;DR: A novel method for the structural optimization of molecular systems that involves an evolving population in which new members are formed by cutting and pasting operations on existing members is described.