Evidence map›Paper›PMID 31579312›Full record

ArticleTrends in analytical chemistry : TRAC2019

Recent advances in mass spectrometry (MS)-based glycoproteomics in complex biological samples.

Zhengwei Chen, Junfeng Huang, Lingjun Li

Open access · greenAbstract read
In one paragraph

Article in Trends in analytical chemistry : TRAC, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed, 1 pooled it
3.5field-weighted citation impact, top 6% 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

34 citing papers in PubMed, 1 synthesis or guideline pooled it, 81 citations in OpenAlex.

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  17. Boost-DiLeu: Enhanced IsobaricAnalytical chemistry · 2022
    Article
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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

3 authors at 1 institution in 2 countries.

Zhengwei ChenDepartment of Chemistry, University of Wisconsin-Madison, Madison, WI, 53705, USA.
Junfeng HuangSchool of Pharmacy, University of Wisconsin-Madison, Madison, WI, 53705, USA.
Lingjun LiDepartment of Chemistry, University of Wisconsin-Madison, Madison, WI, 53705, USA.
University of Wisconsin–Madison · US

Funding

Mass Spectrometric Studies of Neuropeptides in FeedingR01DK071801 · NIDDK · UNIVERSITY OF WISCONSIN-MADISON · PI LINGJUN LI · 2006 to 2026
$6.7M
Di-Leu-enabled multiplexed quantitation for biomarker discovery and validation in Alzheimer's diseaseRF1AG052324 · NIA · UNIVERSITY OF WISCONSIN-MADISON · PI LI, LINGJUN · 2018 to 2018
$2.4M
DiLeu-enabled multiplexed quantitation for biomarker discovery and validation in Alzheimer’s diseaseR01AG052324 · NIA · UNIVERSITY OF WISCONSIN-MADISON · PI LINGJUN LI · 2023 to 2026
$2.3M
MULTIPLEX CHEMICAL TAGS FOR HIGH-THROUGHPUT GLYCAN AND GLYCOPEPTIDE QUANTITATION AND CHARACTERIZATIONU01CA231081 · NCI · UNIVERSITY OF WISCONSIN-MADISON · PI LI, LINGJUN · 2018 to 2020
$1.3M
Proteomic Evaluation of the Blood-Brain Barrier Receptor-Mediated TransportomeR01NS071513 · NINDS · UNIVERSITY OF WISCONSIN-MADISON · PI SHUSTA, ERIC V · 2010 to 2013
$1.1M
Mass Defect-based Chemical Tags for Multiplex Glycan QuantitationR21AG055377 · NIA · UNIVERSITY OF WISCONSIN-MADISON · PI LI, LINGJUN · 2016 to 2017
$603k
NCI NIH HHS U01 CA231081NIA NIH HHS R01 AG052324NIA NIH HHS R21 AG055377NIA NIH HHS RF1 AG052324NIDDK NIH HHS R01 DK071801NINDS NIH HHS R01 NS071513
6 · The paper itself

Abstract

Protein glycosylation plays a key role in various biological processes and disease-related pathological progression. Mass spectrometry (MS)-based glycoproteomics is a powerful approach that provides a system-wide profiling of the glycoproteome in a high-throughput manner. There have been numerous significant technological advances in this field, including improved glycopeptide enrichment, hybrid fragmentation techniques, emerging specialized software packages, and effective quantitation strategies, as well as more dedicated workflows. With increasingly sophisticated glycoproteomics tools on hand, researchers have extensively adapted this approach to explore different biological systems both in terms of in-depth glycoproteome profiling and comparative glycoproteome analysis. Quantitative glycoproteomics enables researchers to discover novel glycosylation-based biomarkers in various diseases with potential to offer better sensitivity and specificity for disease diagnosis. In this review, we present recent methodological developments in MS-based glycoproteomics and highlight its utility and applications in answering various questions in complex biological systems.

Indexed as

Biological samplesBiomarkerDiseaseGlycoproteomicsMass spectrometryN-GlycosylationO-Glycosylation

Identifiers

PMID31579312
PMCPMC6774629
OpenAlexW2897052519

What OpenQuestion 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 OpenQuestion graph.