Evidence map›Paper›PMID 31286442›Full record

ArticleJournal of the American Society for Mass Spectrometry2019

Finding the Sweet Spot in ERLIC Mobile Phase for Simultaneous Enrichment of N-Glyco and Phosphopeptides.

Yusi Cui, Ka Yang, Dylan Nicholas Tabang, Junfeng Huang, Weiping Tang, Lingjun Li

Open access · greenAbstract read
In one paragraph

Article in Journal of the American Society for Mass Spectrometry, 2019. 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
2.5field-weighted citation impact, top 11% 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.

  1. Review
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  6. 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

6 authors at 2 institutions in 1 country.

Yusi CuiDepartment of Chemistry, University of Wisconsin, Madison, WI, 53706, USA.
Ka YangSchool of Pharmacy, University of Wisconsin, 777 Highland Ave, Madison, WI, 53705, USA.
Dylan Nicholas TabangDepartment of Chemistry, University of Wisconsin, Madison, WI, 53706, USA.
Junfeng HuangSchool of Pharmacy, University of Wisconsin, 777 Highland Ave, Madison, WI, 53705, USA.
Weiping TangDepartment of Chemistry, University of Wisconsin, Madison, WI, 53706, USA.
Lingjun LiDepartment of Chemistry, University of Wisconsin, Madison, WI, 53706, USA. lingjun.li@wisc.edu.ORCID http://orcid.org/0000-0003-0056-3869
University of Wisconsin–Madison · USHighland Community College - Illinois · 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
Acquisition of a High-Field Dual Source FTICR-MS for Pharmaceutical ResearchS10RR029531 · NCRR · UNIVERSITY OF WISCONSIN-MADISON · PI LI, LINGJUN · 2011 to 2011
$2.1M
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
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 CA231081NCI NIH HHS U01CA231081NCRR NIH HHS S10 RR029531NCRR NIH HHS S10RR029531NIA NIH HHS R21 AG055377NIA NIH HHS R21 AG055377, RF1 AG052324NIA NIH HHS RF1 AG052324NIDDK NIH HHS R01 DK071801
6 · The paper itself

Abstract

Simultaneous enrichment of glyco- and phosphopeptides will benefit the studies of biological processes regulated by these posttranslational modifications (PTMs). It will also reveal potential crosstalk between these two ubiquitous PTMs. Unlike custom-designed multifunctional solid phase extraction (SPE) materials, operating strong anion exchange (SAX) resin in electrostatic repulsion-hydrophilic interaction chromatography (ERLIC) mode provides a readily available strategy to analytical labs for enrichment of these PTMs for subsequent mass spectrometry (MS)-based characterization. However, the choice of mobile phase has largely relied on empirical rules from hydrophilic interaction chromatography (HILIC) or ion-exchange chromatography (IEX) without further optimization and adjustments. In this study, ten mobile phase compositions of ERLIC were systematically compared; the impact of multiple factors including organic phase proportion, ion pairing reagent, pH, and salt on the retention of glycosylated and phosphorylated peptides was evaluated. This study demonstrated good enrichment of glyco- and phosphopeptides from the nonmodified peptides in a complex tryptic digest. Moreover, the enriched glyco- and phosphopeptides elute in different fractions by orthogonal retention mechanisms of hydrophilic interaction and electrostatic interaction in ERLIC, maximizing the LC-MS identification of each PTM. The optimized mobile phase can be adapted to the ERLIC HPLC system, where the high resolution in separating multiple PTMs will benefit large-scale MS-based PTM profiling and in-depth characterization.

Indexed as

Cell LineChromatography, Ion ExchangeGlycopeptidesHumansHydrophobic and Hydrophilic InteractionsPhosphopeptidesProtein Processing, Post-TranslationalProteomicsTandem Mass SpectrometryGlycopeptidesPhosphopeptidesElectrostatic repulsion-hydrophilic interaction chromatography (ERLIC)EnrichmentGlycosylationPhosphorylationPosttranslational modifications (PTMs)Strong anion exchange (SAX)

Identifiers

PMID31286442
PMCPMC6917886
OpenAlexW2957513975

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.