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用于勃起功能障碍和宫颈癌靶点的遗传生物学、单细胞及表达分析

Geneticsbiologiesingle cell and expression analysis for erectile dysfunction and cervical cancer targets.

作者信息

Zhao Tengfei, Li Yangyang, Liu Huixue, Tong Chongxin

机构信息

Obstetrics and Gynecology Department of Hebei Children's Hospital, Shijiazhuang, 050000, Hebei, China.

出版信息

Discov Oncol. 2024 Dec 21;15(1):820. doi: 10.1007/s12672-024-01726-2.

Abstract

BACKGROUND

Sexual dysfunction and cervical cancer are genetically and molecularly two complex health problems. Here, we integrate genetic inference and single-cell expression analysis to identify potential genetic targets for sexual dysfunction and cervical cancer, and assess causality of these targets utilizing Mendelian randomization approaches.

METHODS

We performed a genome-wide association study (GWAS) to identify genetic variants associated with sexual dysfunction and cervical cancer. Next, we examined the cellular landscape of these variation regions based on scRNAseq data.

RESULTS

The study identified several genetic variants that are correlated with sexual dysfunction and cervical cancer, respectively, and these differentially expressed in reproductive and cervical cells. Two-Gene Combination Panel Increased expression of the WISP1 gene was detected in cervical cancer tissues. Twas most highly expressed in T cells, and least well- when cells were proliferating.

CONCLUSIONS

The study integrates genetics with single-cell expression to nominate genetic targets for sexual dysfunction and cervical cancer and establishes causal support from Mendelian randomization approach.

摘要

背景

性功能障碍和宫颈癌在遗传和分子层面上是两个复杂的健康问题。在此,我们整合遗传推断和单细胞表达分析,以确定性功能障碍和宫颈癌的潜在遗传靶点,并利用孟德尔随机化方法评估这些靶点的因果关系。

方法

我们进行了一项全基因组关联研究(GWAS),以确定与性功能障碍和宫颈癌相关的遗传变异。接下来,我们基于单细胞RNA测序(scRNAseq)数据研究了这些变异区域的细胞图谱。

结果

该研究分别鉴定出了几个与性功能障碍和宫颈癌相关的遗传变异,这些变异在生殖细胞和宫颈细胞中差异表达。双基因组合面板 在宫颈癌组织中检测到WISP1基因表达增加。它在T细胞中表达最高,而在细胞增殖时表达最低。

结论

该研究将遗传学与单细胞表达相结合,为性功能障碍和宫颈癌提名遗传靶点,并通过孟德尔随机化方法建立了因果支持。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ef39/11663209/b6b0af7f8f7a/12672_2024_1726_Fig1_HTML.jpg

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