Quantitative Site-Specific Glycoproteomics Reveals Glyco-Signatures for Breast Cancer Diagnosis

Quantitative Site-Specific Glycoproteomics Reveals Glyco-Signatures for Breast Cancer Diagnosis

Intact glycopeptide characterization by mass spectrometry has proven to be a versatile tool for site-specific glycoproteomics analysis and biomarker screening. Here, we present a method using a new model of a Q-TOF instrument equipped with a Zeno trap for intact glycopeptide identification and demon...

Full description

Saved in:
Bibliographic Details
Main Author: Yi Yang (116183) (author)
Other Authors: Dan Zhao (285025) (author), Ji Luo (312306) (author), Ling Lin (57361) (author), Yuxiang Lin (384572) (author), Baozhen Shan (2186941) (author), Hongxu Chen (1625344) (author), Liang Qiao (34983) (author)
Published: 2024
Subjects:
Biochemistry
Cell Biology
Molecular Biology
Biotechnology
Cancer
Chemical Sciences not elsewhere classified
tof instrument equipped
intact glycopeptide identification
employing machine learning
specific glycoproteomics analysis
6901 unique site
detecting breast cancer
breast cancer
specific glycans
breast diseases
zeno trap
versatile tool
quantitative site
powerful tool
potential glyco
nondisease controls
noncancerous diseases
new model
method using
method provides
mass spectrometry
glycoproteomic studies
cohort glycoproteomes
biomarker screening
analyze large
807 glycosites
15 site
Tags: Add Tag
No Tags, Be the first to tag this record!

Similar Items