Evidence map›Paper›PMID 30478534›Full record

ReviewProtein & cell2019

Sialylation is involved in cell fate decision during development, reprogramming and cancer progression.

Fenjie Li, Junjun Ding

Open access · diamondAbstract readReview
In one paragraph

Review in Protein & cell, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 110 papers.

0numbers the graph read from it
0cells of the map it votes in
110citing papers in PubMed
5.5field-weighted citation impact, top 3% 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

110 citing papers in PubMed, 201 citations in OpenAlex.

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  20. Sialylation Inhibition Impairs Migration and Promotes Adhesion of GBM Cells.International journal of molecular sciences · 2025
    Article

50 more citing papers are in PubMed but not listed here.

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

2 authors at 1 institution in 1 country.

Fenjie LiProgram in Stem Cell and Regenerative Medicine, The Third Affiliated Hospital of Sun Yat-Sen University, Zhongshan School of Medicine, Sun Yat-Sen University, Guangzhou, China.
Junjun DingProgram in Stem Cell and Regenerative Medicine, The Third Affiliated Hospital of Sun Yat-Sen University, Zhongshan School of Medicine, Sun Yat-Sen University, Guangzhou, China. dingjunj@mail.sysu.edu.cn.
Sun Yat-sen University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Sialylation, or the covalent addition of sialic acid to the terminal end of glycoproteins, is a biologically important modification that is involved in embryonic development, neurodevelopment, reprogramming, oncogenesis and immune responses. In this review, we have given a comprehensive overview of the current literature on the involvement of sialylation in cell fate decision during development, reprogramming and cancer progression. Sialylation is essential for early embryonic development and the deletion of UDP-GlcNAc 2-epimerase, a rate-limiting enzyme in sialic acid biosynthesis, is embryonically lethal. Furthermore, the sialyltransferase ST6GAL1 is required for somatic cell reprogramming, and its downregulation is associated with decreased reprogramming efficiency. In addition, sialylation levels and patterns are altered during cancer progression, indicating the potential of sialylated molecules as cancer biomarkers. Taken together, the current evidences demonstrate that sialylation is involved in crucial cell fate decision.

Indexed as

AnimalsBiomarkers, TumorCarbohydrate EpimerasesCarcinogenesisCell Transformation, NeoplasticCellular ReprogrammingHumansMiceN-Acetylneuraminic AcidSialyltransferasesBiomarkers, TumorCarbohydrate EpimerasesN-Acetylneuraminic AcidSialyltransferasesUDP acetylglucosamine-2-epimerasecancercell fatedevelopmentreprogrammingsialylation

Identifiers

PMID30478534
PMCPMC6626595
OpenAlexW2902162407

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.