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I-Hsuan Chen

Researcher at Regeneron

Publications -  9
Citations -  535

I-Hsuan Chen is an academic researcher from Regeneron. The author has contributed to research in topics: Glycoproteomics & Phosphoproteomics. The author has an hindex of 7, co-authored 9 publications receiving 312 citations. Previous affiliations of I-Hsuan Chen include Purdue University & Russian Academy of Sciences.

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Journal ArticleDOI

Phosphoproteins in extracellular vesicles as candidate markers for breast cancer

TL;DR: A general strategy to isolate and identify phosphoproteins in extracellular vesicles from human plasma as potential markers to differentiate disease from healthy states is presented and may transform cancer screening and monitoring.
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Universal Plant Phosphoproteomics Workflow and Its Application to Tomato Signaling in Response to Cold Stress.

TL;DR: A universal sample preparation procedure that facilitates plant phosphoproteomic profiling and a streamlined approach revealed a global view of tomato cold-induced signaling mechanisms, creating the largest tomato phosphopeptides resource to date.
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Sequential phosphoproteomics and N-glycoproteomics of plasma-derived extracellular vesicles.

TL;DR: This protocol describes a mass spectrometry–based workflow for combined analysis of protein phosporylation and N-glycosylation of extracellular vesicles obtained from a single blood plasma sample, enabling multiple PTM analyses of the same clinical samples.
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Analytical Pipeline for Discovery and Verification of Glycoproteins from Plasma-Derived Extracellular Vesicles as Breast Cancer Biomarkers.

TL;DR: This study identified 1,453 unique glycopeptides representing 556 glycoproteins in EVs and applied a novel glyco-specific reverse phase protein array to quantify a subset of the candidates, demonstrating the great potential of this integrated pipeline for biomarker discovery.
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Improved Host Cell Protein Analysis in Monoclonal Antibody Products through Molecular Weight Cutoff Enrichment

TL;DR: This work reports a simple and powerful strategy to identify HCPs in antibody drug substance by applying molecular weight cut-off (MWCO) filtration step followed by shotgun proteomic analysis, which doubles the number of identified H CPs that have been previously reported.