Evidence map›Paper›PMID 34622651›Full record

ArticleAnalytical chemistry2021

Data-Independent Acquisition-Based Mass Spectrometry (DIA-MS) for Quantitative Analysis of Intact N-Linked Glycopeptides.

Mingming Dong, Tung-Shing Mamie Lih, Minghui Ao, Yingwei Hu, Shao-Yung Chen, Rodrigo Vargas Eguez, Hui Zhang

Open access · greenAbstract read
In one paragraph

Article in Analytical chemistry, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
1.9field-weighted citation impact, top 14% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

15 citing papers in PubMed, 28 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 1 institution in 1 country.

Mingming DongDepartment of Pathology, School of Medicine, Johns Hopkins University, Baltimore, Maryland 21231, United States.ORCID 0000-0002-0770-7880
Tung-Shing Mamie LihDepartment of Pathology, School of Medicine, Johns Hopkins University, Baltimore, Maryland 21231, United States.
Minghui AoDepartment of Pathology, School of Medicine, Johns Hopkins University, Baltimore, Maryland 21231, United States.
Yingwei HuDepartment of Pathology, School of Medicine, Johns Hopkins University, Baltimore, Maryland 21231, United States.ORCID 0000-0002-4629-0985
Shao-Yung ChenDepartment of Pathology, School of Medicine, Johns Hopkins University, Baltimore, Maryland 21231, United States.
Rodrigo Vargas EguezDepartment of Pathology, School of Medicine, Johns Hopkins University, Baltimore, Maryland 21231, United States.
Hui ZhangDepartment of Pathology, School of Medicine, Johns Hopkins University, Baltimore, Maryland 21231, United States.ORCID 0000-0001-8726-7098
Johns Hopkins University · US

Funding

Glycoprotein biomarkers for the early detection of aggressive prostate cancerU01CA152813 · NCI · JOHNS HOPKINS UNIVERSITY · PI ZHANG, HUI · 2010 to 2021
$6.2M
The Comprehensive Proteome Characterization Center at Johns Hopkins: High Precision Discovery and Confirmation of Genoproteomic TargetsU24CA210985 · NCI · JOHNS HOPKINS UNIVERSITY · PI CHAN, DANIEL WANYUI, ZHANG, HUI · 2016 to 2020
$5.3M
NCI NIH HHS U01 CA152813NCI NIH HHS U24 CA210985
6 · The paper itself

Abstract

N-linked protein glycosylation is a key regulator in various biological functions. Previous studies have shown that aberrant glycosylation is associated with many diseases. Therefore, it is essential to elucidate protein modifications of glycosylation by quantitatively profiling intact N-linked glycopeptides. Data-independent acquisition (DIA) mass spectrometry (MS) is a cost-effective, flexible, and high-throughput method for global proteomics. However, substantial challenges are still present in the quantitative analysis of intact glycopeptides with high accuracy at high throughput. In this study, we have established a novel integrated platform for the DIA analysis of intact glycopeptides isolated from complex samples. The established analysis platform utilizes a well-designed DIA-MS method for raw data collection, a spectral library constructed specifically for intact glycopeptide quantification providing accurate results by the inclusion of Y ions for quantification and filtering of quantified intact glycopeptides with low-quality MS2 spectra automatically using a set of criteria. Intact glycopeptides isolated from human serum were used to evaluate the performance of the integrated platform. By utilizing 100 isolation windows for DIA data acquisition, a well-constructed human serum spectral library containing 1123 nonredundant intact glycopeptides with Y ions, and automated data inspection, 620 intact glycopeptides were quantified with high confidence from DIA-MS. In summary, our integrated platform can serve as a reliable quantitative tool for characterizing intact glycopeptides isolated from complex biological samples to assist our understanding of biological functions of N-linked glycosylation.

Indexed as

GlycopeptidesProteomicsGlycosylationHumansMass SpectrometrySerumGlycopeptides

Identifiers

PMID34622651
PMCPMC8631578
OpenAlexW3203800041

What Socratic holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.