Transcriptome analysis identification of A-to-I RNA editing in granulosa cells associated with PCOS

BackgroundPolycystic ovary syndrome (PCOS) is a complex, multifactor disorder in women of reproductive age worldwide. Although RNA editing may contribute to a variety of diseases, its role in PCOS remains unclear.MethodsA discovery RNA-Seq dataset was obtained from the NCBI Gene Expression Omnibus...

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Main Authors: Fan-Sheng Kong, Zijing Lu, Yuan Zhou, Yinghua Lu, Chun-Yan Ren, Ruofan Jia, Beilei Zeng, Panwang Huang, Jihong Wang, Yaping Ma, Jian-Huan Chen
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-07-01
Series:Frontiers in Endocrinology
Subjects:
Online Access:https://www.frontiersin.org/articles/10.3389/fendo.2023.1170957/full
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author Fan-Sheng Kong
Fan-Sheng Kong
Zijing Lu
Zijing Lu
Yuan Zhou
Yuan Zhou
Yinghua Lu
Chun-Yan Ren
Ruofan Jia
Ruofan Jia
Beilei Zeng
Beilei Zeng
Panwang Huang
Panwang Huang
Jihong Wang
Yaping Ma
Yaping Ma
Jian-Huan Chen
Jian-Huan Chen
Jian-Huan Chen
author_facet Fan-Sheng Kong
Fan-Sheng Kong
Zijing Lu
Zijing Lu
Yuan Zhou
Yuan Zhou
Yinghua Lu
Chun-Yan Ren
Ruofan Jia
Ruofan Jia
Beilei Zeng
Beilei Zeng
Panwang Huang
Panwang Huang
Jihong Wang
Yaping Ma
Yaping Ma
Jian-Huan Chen
Jian-Huan Chen
Jian-Huan Chen
author_sort Fan-Sheng Kong
collection DOAJ
description BackgroundPolycystic ovary syndrome (PCOS) is a complex, multifactor disorder in women of reproductive age worldwide. Although RNA editing may contribute to a variety of diseases, its role in PCOS remains unclear.MethodsA discovery RNA-Seq dataset was obtained from the NCBI Gene Expression Omnibus database of granulosa cells from women with PCOS and women without PCOS (controls). A validation RNA-Seq dataset downloaded from the European Nucleotide Archive Databank was used to validate differential editing. Transcriptome-wide investigation was conducted to analyze adenosine-to-inosine (A-to-I) RNA editing in PCOS and control samples.ResultsA total of 17,395 high-confidence A-to-I RNA editing sites were identified in 3,644 genes in all GC samples. As for differential RNA editing, there were 545 differential RNA editing (DRE) sites in 259 genes with Nucleoporin 43 (NUP43), Retinoblastoma Binding Protein 4 (RBBP4), and leckstrin homology-like domain family A member 1 (PHLDA) showing the most significant three 3′-untranslated region (3′UTR) editing. Furthermore, we identified 20 DRE sites that demonstrated a significant correlation between editing levels and gene expression levels. Notably, MIR193b-365a Host Gene (MIR193BHG) and Hook Microtubule Tethering Protein 3 (HOOK3) exhibited significant differential expression between PCOS and controls. Functional enrichment analysis showed that these 259 differentially edited genes were mainly related to apoptosis and necroptosis pathways. RNA binding protein (RBP) analysis revealed that RNA Binding Motif Protein 45 (RBM45) was predicted as the most frequent RBP binding with RNA editing sites. Additionally, we observed a correlation between editing levels of differential editing sites and the expression level of the RNA editing enzyme Adenosine Deaminase RNA Specific B1 (ADARB1). Moreover, the existence of 55 common differentially edited genes and nine differential editing sites were confirmed in the validation dataset.ConclusionOur current study highlighted the potential role of RNA editing in the pathophysiology of PCOS as an epigenetic process. These findings could provide valuable insights into the development of more targeted and effective treatment options for PCOS.
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spelling doaj.art-00313ca40ae149efb708960ac26d3c082023-07-21T18:50:47ZengFrontiers Media S.A.Frontiers in Endocrinology1664-23922023-07-011410.3389/fendo.2023.11709571170957Transcriptome analysis identification of A-to-I RNA editing in granulosa cells associated with PCOSFan-Sheng Kong0Fan-Sheng Kong1Zijing Lu2Zijing Lu3Yuan Zhou4Yuan Zhou5Yinghua Lu6Chun-Yan Ren7Ruofan Jia8Ruofan Jia9Beilei Zeng10Beilei Zeng11Panwang Huang12Panwang Huang13Jihong Wang14Yaping Ma15Yaping Ma16Jian-Huan Chen17Jian-Huan Chen18Jian-Huan Chen19Department of Pediatrics, Affiliated Hospital of Jiangnan University, Wuxi, Jiangsu, ChinaLaboratory of Genomic and Precision Medicine, Wuxi School of Medicine, Jiangnan University, Wuxi, Jiangsu, ChinaLaboratory of Genomic and Precision Medicine, Wuxi School of Medicine, Jiangnan University, Wuxi, Jiangsu, ChinaDepartment of Ophthalmology, Affiliated Hospital of Jiangnan University, Wuxi, ChinaDepartment of Pediatrics, Affiliated Hospital of Jiangnan University, Wuxi, Jiangsu, ChinaLaboratory of Genomic and Precision Medicine, Wuxi School of Medicine, Jiangnan University, Wuxi, Jiangsu, ChinaDepartment of Reproductive Medicine, Affiliated Hospital of Jiangnan University, Wuxi, Jiangsu, ChinaLaboratory of Genomic and Precision Medicine, Wuxi School of Medicine, Jiangnan University, Wuxi, Jiangsu, ChinaDepartment of Pediatrics, Affiliated Hospital of Jiangnan University, Wuxi, Jiangsu, ChinaLaboratory of Genomic and Precision Medicine, Wuxi School of Medicine, Jiangnan University, Wuxi, Jiangsu, ChinaDepartment of Pediatrics, Affiliated Hospital of Jiangnan University, Wuxi, Jiangsu, ChinaLaboratory of Genomic and Precision Medicine, Wuxi School of Medicine, Jiangnan University, Wuxi, Jiangsu, ChinaDepartment of Pediatrics, Affiliated Hospital of Jiangnan University, Wuxi, Jiangsu, ChinaLaboratory of Genomic and Precision Medicine, Wuxi School of Medicine, Jiangnan University, Wuxi, Jiangsu, ChinaDepartment of Ophthalmology, Affiliated Hospital of Jiangnan University, Wuxi, ChinaDepartment of Pediatrics, Affiliated Hospital of Jiangnan University, Wuxi, Jiangsu, ChinaLaboratory of Genomic and Precision Medicine, Wuxi School of Medicine, Jiangnan University, Wuxi, Jiangsu, ChinaLaboratory of Genomic and Precision Medicine, Wuxi School of Medicine, Jiangnan University, Wuxi, Jiangsu, ChinaJoint Primate Research Center for Chronic Diseases, Institute of Zoology of Guangdong Academy of Science, Jiangnan University, Wuxi, Jiangsu, ChinaJiangnan University Brain Institute, Wuxi, Jiangsu, ChinaBackgroundPolycystic ovary syndrome (PCOS) is a complex, multifactor disorder in women of reproductive age worldwide. Although RNA editing may contribute to a variety of diseases, its role in PCOS remains unclear.MethodsA discovery RNA-Seq dataset was obtained from the NCBI Gene Expression Omnibus database of granulosa cells from women with PCOS and women without PCOS (controls). A validation RNA-Seq dataset downloaded from the European Nucleotide Archive Databank was used to validate differential editing. Transcriptome-wide investigation was conducted to analyze adenosine-to-inosine (A-to-I) RNA editing in PCOS and control samples.ResultsA total of 17,395 high-confidence A-to-I RNA editing sites were identified in 3,644 genes in all GC samples. As for differential RNA editing, there were 545 differential RNA editing (DRE) sites in 259 genes with Nucleoporin 43 (NUP43), Retinoblastoma Binding Protein 4 (RBBP4), and leckstrin homology-like domain family A member 1 (PHLDA) showing the most significant three 3′-untranslated region (3′UTR) editing. Furthermore, we identified 20 DRE sites that demonstrated a significant correlation between editing levels and gene expression levels. Notably, MIR193b-365a Host Gene (MIR193BHG) and Hook Microtubule Tethering Protein 3 (HOOK3) exhibited significant differential expression between PCOS and controls. Functional enrichment analysis showed that these 259 differentially edited genes were mainly related to apoptosis and necroptosis pathways. RNA binding protein (RBP) analysis revealed that RNA Binding Motif Protein 45 (RBM45) was predicted as the most frequent RBP binding with RNA editing sites. Additionally, we observed a correlation between editing levels of differential editing sites and the expression level of the RNA editing enzyme Adenosine Deaminase RNA Specific B1 (ADARB1). Moreover, the existence of 55 common differentially edited genes and nine differential editing sites were confirmed in the validation dataset.ConclusionOur current study highlighted the potential role of RNA editing in the pathophysiology of PCOS as an epigenetic process. These findings could provide valuable insights into the development of more targeted and effective treatment options for PCOS.https://www.frontiersin.org/articles/10.3389/fendo.2023.1170957/fullPCOSepigeneticscis-regulatory analysisA-to-I RNA editingapoptosis
spellingShingle Fan-Sheng Kong
Fan-Sheng Kong
Zijing Lu
Zijing Lu
Yuan Zhou
Yuan Zhou
Yinghua Lu
Chun-Yan Ren
Ruofan Jia
Ruofan Jia
Beilei Zeng
Beilei Zeng
Panwang Huang
Panwang Huang
Jihong Wang
Yaping Ma
Yaping Ma
Jian-Huan Chen
Jian-Huan Chen
Jian-Huan Chen
Transcriptome analysis identification of A-to-I RNA editing in granulosa cells associated with PCOS
Frontiers in Endocrinology
PCOS
epigenetics
cis-regulatory analysis
A-to-I RNA editing
apoptosis
title Transcriptome analysis identification of A-to-I RNA editing in granulosa cells associated with PCOS
title_full Transcriptome analysis identification of A-to-I RNA editing in granulosa cells associated with PCOS
title_fullStr Transcriptome analysis identification of A-to-I RNA editing in granulosa cells associated with PCOS
title_full_unstemmed Transcriptome analysis identification of A-to-I RNA editing in granulosa cells associated with PCOS
title_short Transcriptome analysis identification of A-to-I RNA editing in granulosa cells associated with PCOS
title_sort transcriptome analysis identification of a to i rna editing in granulosa cells associated with pcos
topic PCOS
epigenetics
cis-regulatory analysis
A-to-I RNA editing
apoptosis
url https://www.frontiersin.org/articles/10.3389/fendo.2023.1170957/full
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