Evidence map›Paper›PMID 28109441›Full record

ArticleMethods in enzymology2017

Quantitative Glycomics: A Combined Analytical and Bioinformatics Approach.

L Veillon, S Zhou, Y Mechref

Abstract read
In one paragraph

Article in Methods in enzymology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Review
  2. Review
  3. glypy: An Open Source Glycoinformatics Library.Journal of proteome research · 2019
    Article
  4. Review
  5. Article
  6. Sweet and SourFrontiers in microbiology · 2019
    Article
  7. Article
  8. 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.

L VeillonTexas Tech University, Lubbock, TX, United States.
S ZhouTexas Tech University, Lubbock, TX, United States.
Y MechrefTexas Tech University, Lubbock, TX, United States. Electronic address: 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
NIGMS NIH HHS R01 GM112490
6 · The paper itself

Abstract

Glycosylation is one of the most common and essential protein modifications. Glycans conjugated to biomolecules modulate the function of such molecules through both direct recognition of glycan structures and indirect mechanisms that involve the control of protein turnover rates, stability, and conformation. The biological attributes of glycans in numerous biological processes and implications in a number of diseases highlight the necessity for comprehensive characterization of protein glycosylation. This chapter reviews cutting-edge methods and tools developed to facilitate quantitative glycomics. This chapter highlights the different methods employed for the release and purification of glycans from biological samples. The most effective labeling methods developed for sensitive quantitative glycomics are also described and discussed. The chromatographic approaches that have been used effectively in glycomics are also highlighted.

Indexed as

Computational BiologyGlycomicsGlycosylationPolysaccharidesPolysaccharidesChromatographic methodsGlycomicsLabeling of glycansPurificationRelease of glycans

Identifiers

PMID28109441
PMCPMC5708140

What OpenQuestion holds

Textmetadata
LicenceTDM
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.