Evidence map›Paper›PMID 22713749›Full record

ArticleNature communications2012

Visualizing specific protein glycoforms by transmembrane fluorescence resonance energy transfer.

Yoshimi Haga, Kumiko Ishii, Kayo Hibino, Yasushi Sako, Yukishige Ito, Naoyuki Taniguchi, Tadashi Suzuki

Open access · bronzeAbstract read
PubMed Publisher
In one paragraph

Article in Nature communications, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing 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

29 citing papers in PubMed, 115 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Review
  5. Article
  6. Article
  7. Review
  8. Article
  9. Exploring the Potential of β-CateninMolecules (Basel, Switzerland) · 2020
    Article
  10. Article
  11. Article
  12. Review
  13. Article
  14. Article
  15. Chemical Glycoproteomics.Chemical reviews · 2016
    Review
  16. Article
  17. Article
  18. Review
  19. Article
  20. Article
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 at 2 institutions in 1 country.

Yoshimi HagaGlycometabolome Team, RIKEN Advanced Science Institute, Wako, Saitama 351-0198, Japan.
Kumiko Ishii
Kayo Hibino
Yasushi Sako
Yukishige Ito
Naoyuki Taniguchi
Tadashi Suzuki
RIKEN Advanced Science Institute · JPJapan Science and Technology Agency · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Analyses of mice lacking glycosyltransferase have suggested that their pathological phenotypes are not attributable to the overall change of the sugar modification, but instead the result of changes of the glycan structures on a specific 'target' glycoprotein. Therefore, detecting or monitoring the glycosylation status of a specific protein in living cells is important, but no such methods are currently available. Here we demonstrate the detection of glycoforms of a specific glycoprotein using the fluorescence resonance energy transfer technique. Using model proteins, we detect characteristic fluorescence resonance energy transfer signals from the specific glycoform-bearing target glycoprotein. We also show that, upon insulin removal, sialylated glycoforms of green fluorescent protein-tagged GLUT4 seem to be internalized more slowly than non-sialylated GLUT4. This novel analytical imaging tool allows studying the roles of specific glycan modifications of a protein of interest.

Indexed as

AnimalsCHO CellsCricetinaeFluorescence Resonance Energy TransferGlucose Transporter Type 4GlycoproteinsGlycosylationGreen Fluorescent ProteinsHeLa CellsHumansProteinsGlucose Transporter Type 4GlycoproteinsGreen Fluorescent ProteinsProteins

Identifiers

PMID22713749
OpenAlexW2060565509

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.