Evidence map›Paper›PMID 28530388›Full record

ArticleAnalytical chemistry2017

Microfluidic Capillary Electrophoresis-Mass Spectrometry for Analysis of Monosaccharides, Oligosaccharides, and Glycopeptides.

Kshitij Khatri, Joshua A Klein, John R Haserick, Deborah R Leon, Catherine E Costello, Mark E McComb, Joseph Zaia

Abstract read
In one paragraph

Article in Analytical chemistry, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers.

0numbers the graph read from it
0cells of the map it votes in
42citing papers in PubMed
–field-weighted citation impact
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

42 citing papers in PubMed.

  1. Review
  2. Review
  3. Glycosylation in kidney diseases.Precision clinical medicine · 2025
    Review
  4. Article
  5. Review
  6. Review
  7. Review
  8. Review
  9. Review
  10. Article
  11. Article
  12. Review
  13. Review
  14. Article
  15. Article
  16. Article
  17. Review
  18. Review
  19. Article
  20. The glycosylation in SARS-CoV-2 and its receptor ACE2.Signal transduction and targeted therapy · 2021
    Review
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.

Kshitij KhatriDepartment of Biochemistry, Center for Biomedical Mass Spectrometry and ‡Bioinformatics Program, Boston University , Boston, Massachusetts 02215, United States.ORCID 0000-0002-6592-869X
Joshua A KleinDepartment of Biochemistry, Center for Biomedical Mass Spectrometry and ‡Bioinformatics Program, Boston University , Boston, Massachusetts 02215, United States.
John R HaserickDepartment of Biochemistry, Center for Biomedical Mass Spectrometry and ‡Bioinformatics Program, Boston University , Boston, Massachusetts 02215, United States.
Deborah R LeonDepartment of Biochemistry, Center for Biomedical Mass Spectrometry and ‡Bioinformatics Program, Boston University , Boston, Massachusetts 02215, United States.
Catherine E CostelloDepartment of Biochemistry, Center for Biomedical Mass Spectrometry and ‡Bioinformatics Program, Boston University , Boston, Massachusetts 02215, United States.ORCID 0000-0003-1594-5122
Mark E McCombDepartment of Biochemistry, Center for Biomedical Mass Spectrometry and ‡Bioinformatics Program, Boston University , Boston, Massachusetts 02215, United States.
Joseph ZaiaDepartment of Biochemistry, Center for Biomedical Mass Spectrometry and ‡Bioinformatics Program, Boston University , Boston, Massachusetts 02215, United States.ORCID 0000-0001-9497-8701

Funding

Mass Spectrometry Resource for Biology and MedicineP41GM104603 · NIGMS · BOSTON UNIVERSITY MEDICAL CAMPUS · PI COSTELLO, CATHERINE E. · 2012 to 2017
$10.4M
Quantitative profiling of glycosaminoglycans from breast tumor tissue arraysR21CA177479 · NCI · BOSTON UNIVERSITY MEDICAL CAMPUS · PI ZAIA, JOSEPH · 2014 to 2016
$712k
A Thermo-Fisher Scientific Q-Exactive HF Mass Spectrometry SystemS10OD021651 · OD · BOSTON UNIVERSITY MEDICAL CAMPUS · PI ZAIA, JOSEPH · 2016 to 2016
$580k
NCI NIH HHS R21 CA177479NIGMS NIH HHS P41 GM104603NIH HHS S10 OD021651
6 · The paper itself

Abstract

Glycomics and glycoproteomics analyses by mass spectrometry require efficient front-end separation methods to enable deep characterization of heterogeneous glycoform populations. Chromatography methods are generally limited in their ability to resolve glycoforms using mobile phases that are compatible with online liquid chromatography-mass spectrometry (LC-MS). The adoption of capillary electrophoresis-mass spectrometry methods (CE-MS) for glycomics and glycoproteomics is limited by the lack of convenient interfaces for coupling the CE devices to mass spectrometers. Here, we describe the application of a microfluidics-based CE-MS system for analysis of released glycans, glycopeptides and monosaccharides. We demonstrate a single CE method for three different modalities, thus contributing to comprehensive glycoproteomics analyses. In addition, we explored compatible sample derivatization methods. We used glycan TMT-labeling to improve electrophoretic migration and enable multiplexed quantitation by tandem MS. We used sialic acid linkage-specific derivatization methods to improve separation and the level of information obtained from a single analytical step. Capillary electrophoresis greatly improved glycoform separation for both released glycans and glycopeptides over that reported for chromatography modes more frequently employed for such analyses. Overall, the CE-MS method described here enables rapid setup and analysis of glycans and glycopeptides using mass spectrometry.

Indexed as

Microfluidic Analytical TechniquesElectrophoresis, CapillaryGlycopeptidesMass SpectrometryModels, MolecularMonosaccharidesOligosaccharidesGlycopeptidesMonosaccharidesOligosaccharides

Identifiers

PMID28530388
PMCPMC5554952

What OpenQuestion holds

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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.