Evidence map›Paper›PMID 29390058›Full record

ArticleGlycobiology2018

Isotopic labeling with cellular O-glycome reporter/amplification (ICORA) for comparative O-glycomics of cultured cells.

Matthew R Kudelka, Alison V Nairn, Mohammed Y Sardar, Xiaodong Sun, Elliot L Chaikof, Tongzhong Ju, Kelley W Moremen, Richard D Cummings

Abstract readComparative Study
In one paragraph

Article in Glycobiology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. Morphology of Biomaterials Affect O-Glycosylation of HUVECs.Journal of functional biomaterials · 2022
    Article
  5. Review
  6. Article
  7. Review
  8. Review
  9. Article
  10. 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

8 authors.

Matthew R KudelkaDepartment of Surgery, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA.
Alison V NairnOffice of Biotechnology Products, Center for Drug Evaluation and Research, U.S. Food and Drug Administration, Silver Spring, MD, USA.
Mohammed Y SardarDepartment of Surgery, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA.
Xiaodong SunDepartment of Surgery, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA.
Elliot L ChaikofDepartment of Surgery, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA.
Tongzhong JuDepartment of Biochemistry, Emory University School of Medicine, Atlanta, GA, USA.
Kelley W MoremenComplex Carbohydrate Research Center, University of Georgia, Athens, GA, USA.
Richard D CummingsDepartment of Surgery, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA.

Funding

MEDICAL SCIENTIST TRAINING PROGRAMT32GM008169 · NIGMS · EMORY UNIVERSITY · PI GROSS, ROBERT E · 1987 to 2021
$20.3M
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
Overall Priority Score P41GM103694 · NIGMS · EMORY UNIVERSITY · PI CUMMINGS, RICHARD D · 2013 to 2018
$6.9M
Facile Synthesis of Glycosulfopeptides and Related BioconjugatesU01GM116196 · NIGMS · BETH ISRAEL DEACONESS MEDICAL CENTER · PI CHAIKOF, ELLIOT, CUMMINGS, RICHARD D · 2015 to 2018
$2.6M
A PSGL-1 Glycopeptide Mimetic for Treatment of Metabolic SyndromeR01DK107405 · NIDDK · BETH ISRAEL DEACONESS MEDICAL CENTER · PI CHAIKOF, ELLIOT, KAHN, BARBARA B. · 2016 to 2019
$2.5M
THE TUMOR ANTIGENS TN AND SIALYLTN IN HUMAN COLORECTAL CARCINOMAU01CA168930 · NCI · EMORY UNIVERSITY · PI CUMMINGS, RICHARD D, SMITH, DAVID FLETCHER · 2012 to 2016
$2.0M
Novel Technologies for Quantitative O-glycomics and Amplification/Preparation of Cellular O-GlycansU01CA207821 · NCI · EMORY UNIVERSITY · PI SMITH, DAVID FLETCHER · 2016 to 2018
$1.9M
A PSGL-1 Glycopeptide Mimetic for Treatment of Venous ThromboembolismR01HL128237 · NHLBI · BETH ISRAEL DEACONESS MEDICAL CENTER · PI CHAIKOF, ELLIOT · 2015 to 2018
$1.7M
NCI NIH HHS U01 CA168930NCI NIH HHS U01 CA207821NHLBI NIH HHS R01 HL128237NIDDK NIH HHS R01 DK107405NIGMS NIH HHS P41 GM103490NIGMS NIH HHS P41 GM103694NIGMS NIH HHS T32 GM008169NIGMS NIH HHS U01 GM116196
6 · The paper itself

Abstract

Mucin-type O-glycans decorate >80% of secretory and cell surface proteins and contribute to health and disease. However, dynamic alterations in the O-glycome are poorly understood because current O-glycomic methodologies are not sufficiently sensitive nor quantitative. Here we describe a novel isotope labeling approach termed Isotope-Cellular O-glycome Reporter Amplification (ICORA) to amplify and analyze the O-glycome from cells. In this approach, cells are incubated with Ac3GalNAc-Bn (Ac3GalNAc-[1H7]Bn) or a heavy labeled Ac3GalNAc-BnD7 (Ac3GalNAc-[2D7]Bn) O-glycan precursor (7 Da mass difference), which enters cells and upon de-esterification is modified by Golgi enzymes to generate Bn-O-glycans secreted into the culture media. After recovery, heavy and light Bn-O-glycans from two separate conditions are mixed, analyzed by MS, and statistically interrogated for changes in O-glycan abundance using a semi-automated approach. ICORA enables ~100-1000-fold enhanced sensitivity and increased throughput compared to traditional O-glycomics. We validated ICORA with model cell lines and used it to define alterations in the O-glycome in colorectal cancer. ICORA is a useful tool to explore the dynamic regulation of the O-glycome in health and disease.

Indexed as

GlycomicsCells, CulturedHumansIsotope LabelingPolysaccharidesPolysaccharides

Identifiers

PMID29390058
PMCPMC6067123

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

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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.