Evidence map›Paper›PMID 30884134›Full record

ArticleThe FEBS journal2019

Dynamic analysis of proteomic alterations in response to N-linked glycosylation inhibition in a drug-resistant ovarian carcinoma cell line.

Jian Shu, Liuyi Dang, Dandan Zhang, Punit Shah, Lijun Chen, Hui Zhang, Shisheng Sun

Open access · bronzeAbstract read
In one paragraph

Article in The FEBS journal, 2019. 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
0.7field-weighted citation impact, top 35% 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

8 citing papers in PubMed, 13 citations in OpenAlex.

  1. Article
  2. 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 at 2 institutions in 2 countries.

Jian ShuCollege of Life Sciences, Northwest University, Xi'an, China.
Liuyi DangCollege of Life Sciences, Northwest University, Xi'an, China.
Dandan ZhangCollege of Life Sciences, Northwest University, Xi'an, China.
Punit ShahDepartment of Pathology, Johns Hopkins University, Baltimore, MD, USA.
Lijun ChenDepartment of Pathology, Johns Hopkins University, Baltimore, MD, USA.
Hui ZhangDepartment of Pathology, Johns Hopkins University, Baltimore, MD, USA.
Shisheng SunCollege of Life Sciences, Northwest University, Xi'an, China.
Northwest University · CNJohns Hopkins University · US

Funding

Shared Resource CoresP01HL107153 · NHLBI · JOHNS HOPKINS UNIVERSITY · PI KASS, DAVID ALAN · 2011 to 2017
$16.8M
Glycoprotein biomarkers for the early detection of aggressive prostate cancerU01CA152813 · NCI · JOHNS HOPKINS UNIVERSITY · PI ZHANG, HUI · 2010 to 2021
$6.2M
The Comprehensive Proteome Characterization Center at Johns Hopkins: High Precision Discovery and Confirmation of Genoproteomic TargetsU24CA210985 · NCI · JOHNS HOPKINS UNIVERSITY · PI CHAN, DANIEL WANYUI, ZHANG, HUI · 2016 to 2020
$5.3M
Targeting Latently Infected Primary Cells using Integrated GlycoproteomicsR21AI122382 · NIAID · JOHNS HOPKINS UNIVERSITY · PI ZHANG, HUI · 2016 to 2017
$446k
Clinical Proteomic Tumor Analysis Consortium U24CA210985Early Detection Research Network U01CA152813National Institute of Allergy and Infectious Diseases R21AI122382NCI NIH HHS U01 CA152813NCI NIH HHS U24 CA210985NHLBI NIH HHS P01 HL107153NIAID NIH HHS R21 AI122382Programs of Excellence in Glycosciences P01HL107153
6 · The paper itself

Abstract

Glycosylation inhibition can improve the efficacy of antitumor drugs and enhance the apoptosis of cancer cells, thus holding great potential for cancer treatment. Inhibition of N-glycosylation induces endoplasmic reticulum (ER) stress and the unfolded protein response (UPR), and eventually triggers ER stress-related apoptosis. Unfortunately, the detailed timeline of these cell responses and protein expression alterations related to N-glycosylation inhibition is not explicit yet, and the pathways involved in different stages of N-glycosylation inhibition still need to be characterized. In this study, the dynamic proteome alterations related to N-glycosylation inhibition were investigated by further analyzing our previously published quantitative proteomics data from tunicamycin (TM)-treated ovarian carcinoma (OVCAR-3) cells. The results revealed that N-glycosylation inhibition not only directly affects the expression of glycosylated proteins but also alters an extended scale of proteins. Functional annotation of these altered proteins demonstrated that proteins related to ER stress start changing within 6 h, followed by UPR within 24 h, and eventually ER stress-related apoptosis is triggered after 48 h, indicating the conversion of cellular response from positive to negative. The dynamic proteome data presented here provide important information for better understanding of the significance of N-glycosylation to cell survival and TM-related cancer treatment.

Indexed as

Cell Line, TumorDrug Resistance, NeoplasmEndoplasmic Reticulum StressFemaleGlycosylationHumansOvarian NeoplasmsProteinsProteomicsReproducibility of ResultsTunicamycinUnfolded Protein ResponseProteinsTunicamycincellular responseER stressglycosylationproteometunicamycin

Identifiers

PMID30884134
PMCPMC7360092
OpenAlexW2923806240

What OpenQuestion holds

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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.