J
Jason W. H. Wong
Researcher at Li Ka Shing Faculty of Medicine, University of Hong Kong
Publications - 189
Citations - 8329
Jason W. H. Wong is an academic researcher from Li Ka Shing Faculty of Medicine, University of Hong Kong. The author has contributed to research in topics: Gene & Cancer. The author has an hindex of 46, co-authored 175 publications receiving 7382 citations. Previous affiliations of Jason W. H. Wong include University of New South Wales & University College Dublin.
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Electrohydraulic lithotripsy for biliary stones.
TL;DR: Electrohydraulic lithotripsy is a useful adjunct to the choledochoscopy and basket removal of biliary stones and the only complication was transient haemorrhage from ductal injury.
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Mechanism of Dimerization of a Recombinant Mature Vascular Endothelial Growth Factor C
TL;DR: This study has characterized the redox state of this unpaired cysteine in a recombinant mature monomeric and dimeric VEGF-C by mass spectrometry and indicates that the unpaired Cysteine regulates dimerization via thiol-disulfide exchange involving the interdimer disulfide bond.
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Disruption of a GATA2-TAL1-ERG regulatory circuit promotes erythroid transition in healthy and leukemic stem cells
Julie A. I. Thoms,Peter Truong,Shruthi Subramanian,Kathy Knezevic,Gregory Harvey,Yizhou Huang,Yizhou Huang,Janith A. Seneviratne,Daniel R. Carter,Daniel R. Carter,Swapna Joshi,Joanna Skhinas,Diego Chacon,Anushi Shah,Ineke de Jong,Dominik Beck,Dominik Beck,Berthold Göttgens,Jonas Larsson,Jason W. H. Wong,Fabio Zanini,Fabio Zanini,John E. Pimanda +22 more
TL;DR: In this paper, the fully connected heptad circuit identified in healthy HSPCs persists, with only minor alterations in acute myeloid leukemia (AML) and that chromatin accessibility at key regulatory elements was predictive of cell identity in both healthy progenitors and leukemic cells.
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Mass trees: a new phylogenetic approach and algorithm to chart evolutionary history with mass spectrometry.
TL;DR: A comparison of the mass trees with conventional sequenced-based phylogenetic trees, using two separate tree comparison algorithms, reveals a high degree of similarity and congruence among the trees.
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Bioinformatics analysis reveals biophysical and evolutionary insights into the 3-nitrotyrosine post-translational modification in the human proteome.
TL;DR: Examining the evolutionary conservation of predicted 3-nitrotyrosine showed that, relative to non-nitrated tyrosine residues, 3-Nitrotyosine residues are generally less conserved, which suggests that, at least in the majority of cases,3-nitrosine is likely to have a deleterious effect on protein function and less likely to be important in normal cellular function.