Evidence map›Paper›PMID 32042778›Full record

ArticleAnnals of translational medicine2019

Integrated analysis identifying long non-coding RNAs (lncRNAs) for competing endogenous RNAs (ceRNAs) network-regulated palatal shelf fusion in the development of mouse cleft palate.

Xuan Shu, Zejun Dong, Mingjun Zhang, Shenyou Shu

Open access · diamondAbstract read
In one paragraph

Article in Annals of translational medicine, 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
5.7field-weighted citation impact, top 4% 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, 14 citations in OpenAlex.

  1. Review
  2. Genome-wide analysis of lncRNA in wheat (Frontiers in plant science · 2025
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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

4 authors at 2 institutions in 1 country.

Xuan ShuThe Cleft Lip and Palate Treatment Center, Second Affiliated Hospital of Shantou University Medical College, Shantou 515041, China.
Zejun DongThe Cleft Lip and Palate Treatment Center, Second Affiliated Hospital of Shantou University Medical College, Shantou 515041, China.
Mingjun ZhangThe Cleft Lip and Palate Treatment Center, Second Affiliated Hospital of Shantou University Medical College, Shantou 515041, China.
Shenyou ShuThe Cleft Lip and Palate Treatment Center, Second Affiliated Hospital of Shantou University Medical College, Shantou 515041, China.
Second Affiliated Hospital of Shantou University Medical College · CNShantou University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCleft palate results from the defective palatal fusion of the medial-edge epithelium after cells undergo epithelial-mesenchymal transition, a process that involves regulation by microRNAs (miRNAs). However, in palatal shelf fusion, miRNA regulation by long non-coding RNAs (lncRNAs) when acting as competing endogenous RNAs (ceRNAs) or miRNA sponges, remains unclear.

methodsWe systematically analyzed the correlation between lncRNAs, miRNAs, and mRNAs from RNA sequencing profiling in embryonic gestation day 14.5 (E14.5) mouse embryos from control (n=3) and all-

resultsIn total, 18 aberrantly expressed miRNAs, 861 mRNAs, and 583 lncRNAs were identified from palate samples of control and ATRA-treated samples. Bioinformatics data and integrative analysis identified 69 lncRNAs, 18 miRNAs, and 78 mRNAs that were aberrantly expressed, and a ceRNA network was then constructed. Finally, we identified a

conclusionsOur study demonstrated that

Indexed as

Cleft palate (CP)competing endogenous RNA (ceRNA)epithelial-mesenchymal transition (EMT)long non-coding RNA (lncRNA)microRNA (miRNA)

Identifiers

PMID32042778
PMCPMC6990043
OpenAlexW2995287505

What OpenQuestion holds

Textmetadata
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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.