2020
DOI: 10.1016/j.jprot.2020.103879
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Quantitative proteomic analysis of human plasma using tandem mass tags to identify novel biomarkers for herpes zoster

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Cited by 13 publications
(15 citation statements)
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“…These models exhibited high accuracy values ( Li et al, 2020 ). The development of omics technology based on large-sample sequencing has provided a potential new method for predicting PHN ( Freidin et al, 2016 ; Wang T. et al, 2020 ). Our previous results revealed that we should focus on the outcome of HZ and the prediction and intervention of PHN from the metabolism and immunity perspective because the susceptibility of PHN in the elderly is related to metabolic and immune dysfunction.…”
Section: Introductionmentioning
confidence: 99%
“…These models exhibited high accuracy values ( Li et al, 2020 ). The development of omics technology based on large-sample sequencing has provided a potential new method for predicting PHN ( Freidin et al, 2016 ; Wang T. et al, 2020 ). Our previous results revealed that we should focus on the outcome of HZ and the prediction and intervention of PHN from the metabolism and immunity perspective because the susceptibility of PHN in the elderly is related to metabolic and immune dysfunction.…”
Section: Introductionmentioning
confidence: 99%
“…We identified 740 proteins in total using TMT-based quantitative proteomics on an Orbitrap Fusion Lumos MS instrument, which is on par with recent plasma proteomics publications [83][84][85][86][87][88][89][90]. However, with substantial increases in high pH reversed-phase fractionation in the sample processing, higher numbers of plasma protein identifications could have been identified [91].…”
Section: Discussionmentioning
confidence: 78%
“…Compared with two‐dimensional difference gel electrophoresis, TMT technology has higher sensitivity and accuracy. TMTs play an important role in the proteomic analysis of a variety of samples, such as cells, tissues and body fluids [23]. Protein analysis in CSF is critical for diagnosing GBS, a neurological disease.…”
Section: Introductionmentioning
confidence: 99%