Evidence map›Paper›PMID 34611874›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2022

N-glycan Characterization by Liquid Chromatography Coupled with Fluorimetry and Mass Spectrometry.

Richard A Gardner, Paulina A Urbanowicz, Daniel I R Spencer

Abstract read
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In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2022. 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. 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

3 authors.

Richard A GardnerCulham Science Centre, Research and Development, Ludger Ltd, Abingdon, Oxfordshire, UK. richard.gardner@ludger.com.
Paulina A UrbanowiczCulham Science Centre, Research and Development, Ludger Ltd, Abingdon, Oxfordshire, UK.
Daniel I R SpencerCulham Science Centre, Research and Development, Ludger Ltd, Abingdon, Oxfordshire, UK. Daniel.spencer@ludger.com.

Funding

Biotechnology and Biological Sciences Research Council
6 · The paper itself

Abstract

Human blood plasma and serum have been a source of biomarkers for the indication and progression of many diseases for a few decades now. Human blood plasma is also an excellent source material to enable patients to monitor their health, with a multitude of biomarkers detectable for the assessment of health status. Blood sampling kits are increasingly available for use in the home with no specialist clinical skills required to obtain good quality samples for pathology lab analysis. Many of the proteins that constitute plasma are glycosylated with both N- and O-type glycans. There is increasing interest in the scientific community to identify potential glycan biomarkers or glycan features that are indicative of disease, and in particular disease at an early stage. The quality and reproducibility of glycan analysis data is key in order to identify and utilise glycan-based blood biomarkers with sufficient specificity and sensitivity; hence, the required analytical tools need to be robust. In this chapter, we describe an analytical method for the UHPLC separation of plasma N-glycans which utilizes both glycan reducing terminus fluorophore labeling, to ensure stoichiometric analysis of relative glycan abundance, and online mass spectrometry for glycan identification. Exoglycosidase digestions were employed as example technique to aid and enable structure identification.

Indexed as

BiomarkersChromatography, LiquidFluorometryGlycosylationHumansMass SpectrometryPolysaccharidesReproducibility of ResultsBiomarkersPolysaccharidesBiomarkerFluorophoreGlycoprofilingGlycosylationLC-MSN-glycanPlasmaReductive amination

Identifiers

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Registered trials

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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.