Evidence map›Paper›PMID 34611866›Full record

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

Comparative Glycomics Analysis of Mass Spectrometry Data.

Yusen Zhou, Sriram Neelamegham

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 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
3.1field-weighted citation impact, top 8% 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

4 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
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  3. Article
  4. 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

2 authors at 1 institution in 1 country.

Yusen ZhouChemical and Biological Engineering, Biomedical Engineering and Medicine, University at Buffalo, State University of New York, Buffalo, NY, USA.
Sriram NeelameghamChemical and Biological Engineering, Biomedical Engineering and Medicine, State University of New York, Buffalo, NY, USA. neel@buffalo.edu.
University at Buffalo, State University of New York · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Glycan profiling is a common strategy that is used to determine the distribution of N-linked glycans, O-linked glycans and glycolipid associated complex carbohydrate structures that are part of various cell and tissue sources. Such data are central to our understanding of functional glycomics, and this knowledge can also be used for pathway construction and other applications in the field of Systems Glycobiology. Glycans released from cell/tissue samples are often studied in their free-form. They can also be functionalized with aglycones like 2-aminobenzamide (2AB) and procainamide to enhance separation and improve ionization during liquid chromatography/mass spectrometry. Additionally, these released glycans may be permethylated in order to improve glycan quantitation. In such work, besides studying the glycans in a single sample, there is also interest in comparing multiple samples in order to determine underlying similarities and differences, for example in terms of specific epitopes that are changed when cells of the same origin differentiate along different pathways. The current chapter describes the development and usage of cGlyco ("comparative Glycomics"), an open-source program that can be used to compare data from multiple mass spectrometry runs. As an example, we apply cGlyco to compare the glycan profile of multiple MALDI-TOF glycomics profiling data collected by core-C of the Consortium for Functional Glycomics (CFG).

Indexed as

GlycomicsChromatography, LiquidGlycoproteinsPolysaccharidesSpectrometry, Mass, Matrix-Assisted Laser Desorption-IonizationGlycoproteinsPolysaccharidesConsortium for functional GlycomicsGlycoinformaticsGlycomicsMALDI-TOFMass spectrometryOpen sourceSoftware

Identifiers

PMID34611866
OpenAlexW3202490898

What OpenQuestion holds

Textmetadata
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.