scholarly journals Global and site‐specific analysis of protein glycosylation in complex biological systems with Mass Spectrometry

2019 ◽  
Vol 38 (4-5) ◽  
pp. 356-379 ◽  
Author(s):  
Haopeng Xiao ◽  
Fangxu Sun ◽  
Suttipong Suttapitugsakul ◽  
Ronghu Wu
Talanta ◽  
2018 ◽  
Vol 179 ◽  
pp. 22-27 ◽  
Author(s):  
Yanyan Qu ◽  
Liangliang Sun ◽  
Guijie Zhu ◽  
Zhenbin Zhang ◽  
Elizabeth H. Peuchen ◽  
...  

2009 ◽  
Vol 395 (2) ◽  
pp. 178-188 ◽  
Author(s):  
Jessica Wohlgemuth ◽  
Michael Karas ◽  
Thomas Eichhorn ◽  
Robertus Hendriks ◽  
Sven Andrecht

2020 ◽  
Author(s):  
Toan K. Phung ◽  
Cassandra L. Pegg ◽  
Benjamin L. Schulz

AbstractMass spectrometry glycoproteomics is rapidly maturing, allowing unprecedented insights into the diversity and functions of protein glycosylation. However, quantitative glycoproteomics remains challenging. We developed GlypNirO, an automated software pipeline which integrates the complementary outputs of Byonic and Proteome Discoverer to allow high-throughput automated quantitative glycoproteomic data analysis. The output of GlypNirO is clearly structured, allowing manual interrogation, and is also appropriate for input into diverse statistical workflows. We used GlypNirO to analyse a published plasma glycoproteome dataset and identified changes in site-specific N- and O-glycosylation occupancy and structure associated with hepatocellular carcinoma as putative biomarkers of disease.


2020 ◽  
Vol 16 ◽  
pp. 2127-2135 ◽  
Author(s):  
Toan K Phung ◽  
Cassandra L Pegg ◽  
Benjamin L Schulz

Mass spectrometry glycoproteomics is rapidly maturing, allowing unprecedented insights into the diversity and functions of protein glycosylation. However, quantitative glycoproteomics remains challenging. We developed GlypNirO, an automated software pipeline which integrates the complementary outputs of Byonic and Proteome Discoverer to allow high-throughput automated quantitative glycoproteomic data analysis. The output of GlypNirO is clearly structured, allowing manual interrogation, and is also appropriate for input into diverse statistical workflows. We used GlypNirO to analyse a published plasma glycoproteome dataset and identified changes in site-specific N- and O-glycosylation occupancy and structure associated with hepatocellular carcinoma as putative biomarkers of disease.


2019 ◽  
Author(s):  
Pan Fang ◽  
Juan-Juan Xie ◽  
Shao-Ming Sang ◽  
Lei Zhang ◽  
Ming-Qi Liu ◽  
...  

ABSTRACTAlzheimer’s disease (AD) is one of the most common neurodegenerative diseases that currently lacks clear pathogenesis and effective treatment. Protein glycosylation is ubiquitous in brain tissue and site-specific analysis of N-glycoproteome, which is technically challenging, can advance our understanding of the glycoproteins’ role in AD. In this study, we profiled the multilayered variations in proteins, N-glycosites, N-glycans, and in particular site-specific N-glycopeptides in the APP/PS1 and wild type mouse brain through combining pGlyco 2.0 strategy with other quantitative N-glycoproteomic strategies. The comprehensive brain N-glycoproteome landscape was constructed, and rich details of the heterogeneous site-specific protein N-glycosylations were exhibited. Quantitative analyses explored generally downregulated N-glycosylation involving proteins such as glutamate receptors, as well as fucosylated and oligo-mannose type glycans in APP/PS1 mice versus wild type mice. Moreover, our preliminary functional study revealed that N-glycosylation was crucial for the membrane localization of NCAM1 and for maintaining the excitability and viability of neuron cells. Our work offered a panoramic view of the N-glycoproteomes in Alzheimer’s disease and revealed that generally impaired N-glycosylation promotes Alzheimer’s disease progression.


1995 ◽  
Vol 30 (12) ◽  
pp. 1679-1686 ◽  
Author(s):  
Eddy A. Kragten ◽  
Aldert A. Bergwerff ◽  
Jan van Oostrum ◽  
Dieter R. Müller ◽  
Wilhelm J. Richter

Sign in / Sign up

Export Citation Format

Share Document