Evidence map›Paper›PMID 40622404›Full record

ArticleAnalytical and bioanalytical chemistry2025

A mass spectrometry-based assay for mouse IgG N-glycan screening in biofluids.

Ariana E Stratton, Hassan Moussa, Yingchan Guo, Justin M Ellenburg, Carl Atkinson, Boone M Prentice

Abstract read
In one paragraph

Article in Analytical and bioanalytical chemistry, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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.

Ariana E Stratton *Department of Chemistry, University of Florida, 214 Leigh Hall, PO Box 117200, Gainesville, FL, 32611, USA.
Hassan Moussa *Department of Surgery, Northwestern University Feinberg School of Medicine, Chicago, IL, USA.
Yingchan GuoDepartment of Chemistry, University of Florida, 214 Leigh Hall, PO Box 117200, Gainesville, FL, 32611, USA.
Justin M EllenburgDepartment of Chemistry, University of Florida, 214 Leigh Hall, PO Box 117200, Gainesville, FL, 32611, USA.
Carl AtkinsonDepartment of Surgery, Northwestern University Feinberg School of Medicine, Chicago, IL, USA.
Boone M PrenticeDepartment of Chemistry, University of Florida, 214 Leigh Hall, PO Box 117200, Gainesville, FL, 32611, USA. booneprentice@chem.ufl.edu.

Funding

Complement driven innate and adaptive autoreactivity in lung transplantationR01HL140470 · NHLBI · UNIVERSITY OF FLORIDA · PI ATKINSON, CARL · 2018 to 2021
$2.0M
Eli Lilly and Company Young Investigator AwardNHLBI NIH HHS R01 HL140470NHLBI NIH HHS R01HL140470-03S1
6 · The paper itself

Abstract

N-Glycans represent an important post-translational modification of proteins that can serve as biomarkers of disease, injury, and inflammation. N-Glycosylation of the monoclonal antibody immunoglobulin G (IgG) impacts binding to receptors that initiate an immunological response. Herein, we describe the optimization of a high-throughput method for analyzing IgG glycosylation of multiple murine biofluid samples in a single analysis utilizing matrix-assisted laser desorption/ionization (MALDI) imaging mass spectrometry. Similar to an enzyme-linked immunosorbent assay (ELISA), our method begins by spotting a capture antibody into a well. However, glycosylation on the capture antibody causes a significant N-glycan background signal that interferes with the signal from IgG-derived glycans in serum samples. To eliminate endogenous capture antibody IgG glycans (i.e., chemical background), the capture antibody was deglycosylated using the enzyme PNGase F, purified using affinity chromatography, and analyzed using ELISAs to confirm there was no loss of binding affinity and selectivity. The performance of the deglycosylated capture antibody was then compared to that of the traditional glycosylated capture antibody using the MALDI IgG N-glycan screening assay. Background subtraction was performed for samples analyzed with both capture antibodies to compare signal intensities before and after background subtraction, which was previously used to correct for the chemical background produced by glycosylated capture antibodies. We show that the use of background subtraction is not necessary with the use of a deglycosylated capture antibody, and that using the deglycosylated capture antibody increases imaging mass spectrometry signal intensity, giving a more sensitive, accurate, and precise analysis of N-glycans present in murine biofluid samples.

Indexed as

Immunoglobulin GPolysaccharidesSpectrometry, Mass, Matrix-Assisted Laser Desorption-IonizationAnimalsEnzyme-Linked Immunosorbent AssayGlycosylationMiceImmunoglobulin GPolysaccharidesBioassaysEnzymesImmunoassays/ELISAMass spectrometry/ICP-MS

Identifiers

PMID40622404
PMCPMC12833749

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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.