Evidence map›Paper›PMID 26733198›Full record

ArticleThe Journal of biological chemistry2016

Selective Exo-Enzymatic Labeling Detects Increased Cell Surface Sialoglycoprotein Expression upon Megakaryocytic Differentiation.

Seok-Ho Yu, Peng Zhao, Tiantian Sun, Zhongwei Gao, Kelley W Moremen, Geert-Jan Boons, Lance Wells, Richard Steet

Open access · hybridAbstract read
In one paragraph

Article in The Journal of biological chemistry, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed
3.8field-weighted citation impact, top 7% 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

31 citing papers in PubMed, 57 citations in OpenAlex.

  1. Review
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  6. Recombinant mucin biotechnology and engineering.Advanced drug delivery reviews · 2023
    Review
  7. Review
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  9. Article
  10. Review
  11. Article
  12. Chemical reporters to study mammalian O-glycosylation.Biochemical Society transactions · 2021
    Review
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  15. 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

8 authors at 1 institution in 1 country.

Seok-Ho YuFrom the Complex Carbohydrate Research Center, University of Georgia, Athens, Georgia 30602.
Peng ZhaoFrom the Complex Carbohydrate Research Center, University of Georgia, Athens, Georgia 30602.
Tiantian SunFrom the Complex Carbohydrate Research Center, University of Georgia, Athens, Georgia 30602.
Zhongwei GaoFrom the Complex Carbohydrate Research Center, University of Georgia, Athens, Georgia 30602.
Kelley W MoremenFrom the Complex Carbohydrate Research Center, University of Georgia, Athens, Georgia 30602.
Geert-Jan BoonsFrom the Complex Carbohydrate Research Center, University of Georgia, Athens, Georgia 30602.
Lance WellsFrom the Complex Carbohydrate Research Center, University of Georgia, Athens, Georgia 30602 lwell@ccrc.uga.edu.
Richard SteetFrom the Complex Carbohydrate Research Center, University of Georgia, Athens, Georgia 30602 rsteet@ccrc.uga.edu.
University of Georgia · US

Funding

TR&D1: Stem Cell and Induced Pluripotent Stem Cell Resources (Pages 116-134)P41GM103490 · NIGMS · UNIVERSITY OF GEORGIA · PI PIERCE, J. MICHAEL · 2012 to 2018
$13.7M
Recombinant Production of Glycosylation Enzymes for Biochem/Structural StudiesP01GM107012 · NIGMS · UNIVERSITY OF GEORGIA · PI MOREMEN, KELLEY · 2013 to 2017
$7.5M
NIGMS NIH HHS P01 GM-107012NIGMS NIH HHS P01 GM107012NIGMS NIH HHS P41 GM103490
6 · The paper itself

Abstract

Selective exo-enzymatic labeling (or SEEL) uses recombinant glycosyltransferases and nucleotide-sugar analogues to allow efficient labeling of cell surface glycans. SEEL can circumvent many of the possible issues associated with metabolic labeling, including low incorporation of sugar precursors, and allows for sugars to be added selectively to different types of glycans by virtue of the inherent specificity of the glycosyltransferases. Here we compare the labeling of sialoglycoproteins in undifferentiated and differentiated human erythroleukemia cells (HEL) using SEEL using the sialyltransferases ST6Gal1 and ST3Gal1, which label N- and O-glycans, respectively. Our results show that the profile of glycoproteins detected varies between undifferentiated HEL cells and those differentiated to megakaryocytes, with a shift to more N-linked sialoglycoproteins in the differentiated cells. The efficiency of SEEL for both sialyltransferases in HEL cells was greatly increased with prior neuraminidase treatment highlighting the necessity for the presence of available acceptors with this labeling method. Following metabolic labeling or SEEL, tagged glycoproteins were enriched by immunoprecipitation and identified using mass spectrometry. The proteomic findings demonstrated that the detection of many glycoproteins is markedly improved by SEEL labeling, and that unique glycoproteins can be identified using either ST6Gal1 or ST3Gal1. Furthermore, this analysis enabled the identification of increased surface expression of several sialylated cell adhesion molecules, including the known megakaryocytic markers integrinβ3 and CD44, upon differentiation of HEL cells to adherent megakaryocytes.

Indexed as

AnimalsAntigens, CDbeta-D-Galactoside alpha 2-6-Sialyltransferasebeta-Galactoside alpha-2,3-SialyltransferaseCHO CellsCricetinaeCricetulusHumansHyaluronan ReceptorsIntegrin beta3Isotope LabelingMegakaryocytesSialoglycoproteinsSialyltransferasesAntigens, CDbeta-D-Galactoside alpha 2-6-Sialyltransferasebeta-Galactoside alpha-2,3-SialyltransferaseCD44 protein, humanHyaluronan ReceptorsIntegrin beta3SialoglycoproteinsSialyltransferasesST6GAL1 protein, humancell differentiationclick chemistryglycosyltransferaseproteomicssialic acidβ-galactoside α-2,6-sialyltransferase 1 (ST6GAL1)

Identifiers

PMID26733198
PMCPMC4759176
OpenAlexW2237107284

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.