Evidence map›Paper›PMID 42145970›Full record

ArticleIranian journal of biotechnology2026

Integrative Bioinformatics Analyses Reveal X Chromosome Inactivation Escape Genes Dosage Dysregulation Is the Primary Contributor to Turner Syndrome.

Huisheng Liang, Zhongyang Li, Fei Zhang

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Article in Iranian journal of biotechnology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Huisheng LiangDepartment of Gynecology, Zhongshan Hospital (Xiamen), Fudan University, Xiamen, 361015China.
Zhongyang LiUniversité Paris Cité, CNRS, Unité de Biologie Fonctionnelle ET Adaptative, Paris 75013, France.
Fei ZhangDepartment of Gynecology, Zhongshan Hospital (Xiamen), Fudan University, Xiamen, 361015China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Turner syndrome is a rare disorder resulting from abnormalities in the number or structure of a single X chromosome. It stands as the sole survivable monosomy observed in humans. Individuals affected by Turner syndrome commonly face significant complications, including impaired gonadal development, short stature, and intellectual disabilities. Despite extensive research, the complete understanding of the pathogenesis behind Turner syndrome remains elusive. Objectives: This study aimed to elucidate the molecular mechanisms of Turner syndrome by identifying key X chromosome inactivation escape genes and exploring their potential contributions to genotype-phenotype correlations and therapeutic targets through integrative bioinformatics analyses. Materials and Methods: The study included three RNA-seq datasets, consisting of 72 patients with Turner syndrome and 58 individuals with normal cytogenetics. Differentially expressed gene analysis, protein-protein interaction network analysis, and functional enrichment analysis were conducted to ascertain hub genes. Furthermore, pivotal lncRNAs and transcription factors were identified through competitive endogenous RNA network analysis and transcription factor enrichment analyses. Results: This study made a significant contribution by exploring the relationship between Turner syndrome genotypes and various phenotypes at the transcriptomic level. We found hub genes associated with hormone regulation, including growth hormone. Moreover, we highlighted 10 crucial X chromosome inactivation escape genes (ASMTL, CD99, DHRSX, EIF1AX, JPX, KDM5C, KDM6A, SLC25A6, XIST, and ZFX), which may serve as core pathogenic factors in Turner Syndrome. Additionally, based on our findings, we proposed certain drugs as potential new therapeutic strategies for Turner Syndrome. Conclusions: Our study provides substantial evidence supporting the correlation between genotype and various phenotypes in Turner Syndrome. Furthermore, we shed light on the potential pathogenic significance of X chromosome inactivation escape genes. These findings open up new possibilities for therapeutic interventions.

Indexed as

BioinformaticsGlobal genomic effectsSex chromosome aneuploidyTurner syndromeX chromosome Inactivation escape gene

Identifiers

PMID42145970
PMCPMC13179440

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