Evidence map›Paper›PMID 29066631›Full record

ArticleMolecular & cellular proteomics : MCP2017

Advancing a High Throughput Glycotope-centric Glycomics Workflow Based on nanoLC-MS

Cheng-Te Hsiao, Po-Wei Wang, Hua-Chien Chang, Yen-Ying Chen, Shui-Hua Wang, Yijuang Chern, Kay-Hooi Khoo

Abstract read
In one paragraph

Article in Molecular & cellular proteomics : MCP, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Species-SpecificMarine drugs · 2023
    Article
  5. Article
  6. The dynamic brain N-glycome.Glycoconjugate journal · 2022
    Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
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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

7 authors.

Cheng-Te HsiaoFrom the ‡Institute of Biochemical Sciences, National Taiwan University, Taipei 106, Taiwan.
Po-Wei Wang§Institute of Biological Chemistry and.
Hua-Chien Chang§Institute of Biological Chemistry and.
Yen-Ying ChenFrom the ‡Institute of Biochemical Sciences, National Taiwan University, Taipei 106, Taiwan.
Shui-Hua Wang§Institute of Biological Chemistry and.
Yijuang Chern¶Institute of Biomedical Sciences, Academia Sinica, Nankang, Taipei 115, Taiwan.
Kay-Hooi KhooFrom the ‡Institute of Biochemical Sciences, National Taiwan University, Taipei 106, Taiwan; kkhoo@gate.sinica.edu.tw.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The intrinsic nature of glycosylation, namely nontemplate encoded, stepwise elongation and termination with a diverse range of isomeric glyco-epitopes (glycotopes), translates into ambiguity in most cases of mass spectrometry (MS)-based glycomic mapping. It is arguable that whether one needs to delineate every single glycomic entity, which may be counterproductive. Instead, one should focus on identifying as many structural features as possible that would collectively define the glycomic characteristics of a cell or tissue, and how these may change in response to self-programmed development, immuno-activation, and malignant transformation. We have been pursuing this line of analytical strategy that homes in on identifying the terminal sulfo-, sialyl, and/or fucosylated glycotopes by comprehensive nanoLC-MS

Indexed as

AnimalsBrainCell LineChromatography, LiquidData MiningGlycomicsGlycosylationHumansMiceMicrochip Analytical ProceduresTandem Mass SpectrometryWorkflow

Identifiers

PMID29066631
PMCPMC5724186

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.