Evidence map›Paper›PMID 35356930›Full record

ArticleMedicine2022

Investigation of hub genes involved in Turner syndrome using biological informatics methods.

Tiantian Cheng, Xiaoli Li, Jinhu Chen, Linlin Yang, Jing Liu, Guangyao Song, Huijuan Ma

Open access · goldAbstract read
In one paragraph

Article in Medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.3field-weighted citation impact, top 52% 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

4 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. Frontiers in pharmacology · 2026
    Review
  3. 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 3 institutions in 1 country.

Tiantian ChengDepartment of Internal Medicine, School of Clinical Medicine, North China University of Science and Technology, Tangshan, Hebei, China.,Department ofEndocrinology and Metabolic Diseases, Hebei General Hospital, Shijiazhuang, Hebei, China.,Department of Internal Medicine, Hebei Medical University, Shijiazhuang,Hebei, China.,Hebei Key Laboratory of Metabolic Diseases, Hebei General Hospital, Shijiazhuang, Hebei, China.
Xiaoli Li
Jinhu Chen
Linlin Yang
Jing Liu
Guangyao Song
Hebei General Hospital · CNHebei Medical University · CNNorth China University of Science and Technology · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThis study aimed to explore candidate genes and their potential interaction mechanism critical to the pathophysiology of Turner syndrome by using the Gene Expression Omnibus database.

methodsGSE58435 data set was obtained by querying the Gene Expression Omnibus database. Differentially expressed genes (DEGs) were screened using R and subsequently annotated by Gene Ontology. Functional enrichment analysis was performed based on the Kyoto Encyclopedia of Genes and Genomes database for annotation, visualization, and integrated discovery. A protein-protein interaction network of different genes was constructed based on the STRING database, in which hub genes were explored through Cytoscape software. The expression of the hub genes was verified by analyzing the gene expression in the GSE46687 data set.

resultsA total of 733 differential genes were identified. These differentially expressed genes were significantly enriched in nucleoplasm and nucleus. Their molecular function was concentrated on DNA binding and transcription, coronary artery, and adipose tissue development. According to the annotation of Kyoto Encyclopedia of Genes and Genomes, the identified DEGs were mainly enriched in inflammatory mediator regulation of TRP channels, osteoclast differentiation. A total of 10 hub genes (HIST1H2BA, TRIM71, HIST1H2BB, HIST1H4D, TNF, TP53BP1, CDCA8, EGF, HMG20B, and BCL9) were identified from the constructed protein-protein interaction network. These genes were discovered to be highly expressed in osteoclasts, ovaries, digestive tract, blood, and lymphatic tissues through the online application of human protein atlas.

conclusionIn this study, 733 DEGs and 10 hub genes were identified. They would be new candidate targets in Turner syndrome.

Indexed as

Turner SyndromeComputational BiologyDatabases, GeneticGene Expression ProfilingGene OntologyHumansProtein Interaction MapsTranscription FactorsTripartite Motif ProteinsUbiquitin-Protein LigasesBCL9 protein, humanTranscription FactorsTRIM71 protein, humanTripartite Motif ProteinsUbiquitin-Protein Ligases

Identifiers

PMID35356930
PMCPMC10684194
OpenAlexW4220730608

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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.