Evidence map›Paper›PMID 38315370›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2024

Targeted Analysis of Permethylated N-Glycans Using MRM/PRM Approaches.

Cristian D Gutierrez Reyes, Akeem Sanni, Damir Mogut, Moyinoluwa Adeniyi, Parisa Ahmadi, Mojgan Atashi, Sherifdeen Onigbinde, Yehia Mechref

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2024. 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

8 authors.

Cristian D Gutierrez Reyes *Department of Chemistry and Biochemistry, Texas Tech University, Lubbock, TX, USA.
Akeem Sanni *Department of Chemistry and Biochemistry, Texas Tech University, Lubbock, TX, USA.
Damir MogutDepartment of Food Biochemistry, Faculty of Food Science, University of Warmia and Mazury in Olsztyn, Olsztyn, Poland.
Moyinoluwa AdeniyiDepartment of Chemistry and Biochemistry, Texas Tech University, Lubbock, TX, USA.
Parisa AhmadiDepartment of Chemistry and Biochemistry, Texas Tech University, Lubbock, TX, USA.
Mojgan AtashiDepartment of Chemistry and Biochemistry, Texas Tech University, Lubbock, TX, USA.
Sherifdeen OnigbindeDepartment of Chemistry and Biochemistry, Texas Tech University, Lubbock, TX, USA.
Yehia MechrefDepartment of Chemistry and Biochemistry, Texas Tech University, Lubbock, TX, USA. Yehia.Mechref@ttu.edu.

Funding

Sensitive and Quantitative MS-bases Glycomic Mapping PlatformR01GM112490 · NIGMS · TEXAS TECH UNIVERSITY · PI MECHREF, YEHIA · 2014 to 2024
$3.2M
Quantitative Characterization of Glycopeptide IsomersR01GM130091 · NIGMS · TEXAS TECH UNIVERSITY · PI Yehia Mechref · 2019 to 2026
$2.5M
NIGMS NIH HHS R01 GM112490NIGMS NIH HHS R01 GM130091
6 · The paper itself

Abstract

Targeted mass spectrometric analysis is widely employed across various omics fields as a validation strategy due to its high sensitivity and accuracy. The approach has been successfully employed for the structural analysis of proteins, glycans, lipids, and metabolites. Multiple reaction monitoring (MRM) and parallel reaction monitoring (PRM) have been the methods of choice for targeted structural studies of biomolecules. These target analyses simplify the analytical workflow, reduce background interference, and increase selectivity/specificity, allowing for a reliable quantification of permethylated N-glycans in complex biological matrices.

Indexed as

PolysaccharidesMass SpectrometryWorkflowPolysaccharidesMRMPermethylated N-glycansPRM

Identifiers

PMID38315370
PMCPMC11792703

What OpenQuestion holds

Textmetadata
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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.