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Danchen Wang

Researcher at Pennsylvania State University

Publications -  16
Citations -  1246

Danchen Wang is an academic researcher from Pennsylvania State University. The author has contributed to research in topics: Medicine & Chemistry. The author has an hindex of 2, co-authored 2 publications receiving 1025 citations.

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Histone hypercitrullination mediates chromatin decondensation and neutrophil extracellular trap formation

TL;DR: It is shown that the hypercitrullination of histones by PAD4 mediates chromatin decondensation in granulocytes/neutrophils, and citrullinations of biochemically defined avian nucleosome arrays inhibits their compaction by the linker histone H5 to form higher order chromatin structures.
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Neutral Loss of Isocyanic Acid in Peptide CID Spectra: A Novel Diagnostic Marker for Mass Spectrometric Identification of Protein Citrullination

TL;DR: HNCO loss in CID spectra provides a novel diagnostic marker for citrullination, and its utility was demonstrated by the discovery of Arg197 as the specific site of citruLLination on nucleophosmin upon peptidylarginine deiminase 4 treatment.
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Review on the roles of specific cell-derived exosomes in Alzheimer's disease

TL;DR: The roles of exosomes derived from different body fluids and cells, such as neuron, glial, stem, and endothelial cells, in the development, diagnosis, monitoring, and treatment of AD are summarized and the necessity to focus on exosome from biological fluids and specific cells that are less invasive to target is emphasized.
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High-throughput analysis of total homocysteine and methylmalonic acid with the efficiency to separate succinic acid in serum and urine via liquid chromatography tandem mass spectrometry.

TL;DR: In this article , a simple and accurate liquid chromatography-tandem mass spectrometry (LC-MS/MS) method was proposed for the quantification of total homocysteine (tHcy) and methylmalonic acid (MMA) with the efficient separation of succinic acid (SA) in human serum and urine.
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Validation and comparison of five data mining algorithms using big data from clinical laboratories to establish reference intervals of thyroid hormones for older adults.

TL;DR: The results of these algorithms were compared to those of RIs established using healthy older adults recruited following strict inclusion and exclusion criteria and the bias ratio (BR) matrix was used to compare the limits of different algorithms as discussed by the authors .