Evidence map›Paper›PMID 33302373›Full record

ReviewInternational journal of molecular sciences2020

Insights into Bioinformatic Applications for Glycosylation: Instigating an Awakening towards Applying Glycoinformatic Resources for Cancer Diagnosis and Therapy.

Manikandan Muthu, Sechul Chun, Judy Gopal, Vimala Anthonydhason, Steve W Haga, Anna Jacintha Prameela Devadoss, Jae-Wook Oh

Abstract readReview
In one paragraph

Review in International journal of molecular sciences, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
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.

Manikandan MuthuDepartment of Environmental Health Sciences, Konkuk University, Seoul 143-701, Korea.
Sechul ChunDepartment of Environmental Health Sciences, Konkuk University, Seoul 143-701, Korea.ORCID 0000-0003-0845-9783
Judy GopalDepartment of Environmental Health Sciences, Konkuk University, Seoul 143-701, Korea.ORCID 0000-0003-0090-5160
Vimala AnthonydhasonDepartment of Microbiology and Immunology, Institute for Biomedicine, Gothenburg University, 413 90 Gothenburg, Sweden.
Steve W HagaDepartment of Computer Science and Engineering, National Sun Yat Sen University, Kaohsiung 804, Taiwan.
Anna Jacintha Prameela DevadossDepartment of Environmental Health Sciences, Konkuk University, Seoul 143-701, Korea.
Jae-Wook OhDepartment of Stem Cell and Regenerative Biotechnology, Konkuk University, Seoul 143-701, Korea.ORCID 0000-0003-2439-0499

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Glycosylation plays a crucial role in various diseases and their etiology. This has led to a clear understanding on the functions of carbohydrates in cell communication, which eventually will result in novel therapeutic approaches for treatment of various disease. Glycomics has now become one among the top ten technologies that will change the future. The direct implication of glycosylation as a hallmark of cancer and for cancer therapy is well established. As in proteomics, where bioinformatics tools have led to revolutionary achievements, bioinformatics resources for glycosylation have improved its practical implication. Bioinformatics tools, algorithms and databases are a mandatory requirement to manage and successfully analyze large amount of glycobiological data generated from glycosylation studies. This review consolidates all the available tools and their applications in glycosylation research. The achievements made through the use of bioinformatics into glycosylation studies are also presented. The importance of glycosylation in cancer diagnosis and therapy is discussed and the gap in the application of widely available glyco-informatic tools for cancer research is highlighted. This review is expected to bring an awakening amongst glyco-informaticians as well as cancer biologists to bridge this gap, to exploit the available glyco-informatic tools for cancer.

Indexed as

AnimalsBiomarkers, TumorGlycomicsGlycoproteinsGlycosylationHumansNeoplasmsProtein Processing, Post-TranslationalBiomarkers, TumorGlycoproteinsbioinformatics toolscancerdatabasesglycosylationpost translational modificationproteins

Identifiers

PMID33302373
PMCPMC7762546

What OpenQuestion holds

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LicenceCC BY
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.