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Chen H, Li T, Gao R, Cheng M, Zhang Q, Liu X, Chen M, Liao X, Qin L. RNA editing landscape of adipose tissue in polycystic ovary syndrome provides insight into the obesity-related immune responses. Front Endocrinol (Lausanne) 2024; 15:1379293. [PMID: 38978626 PMCID: PMC11229675 DOI: 10.3389/fendo.2024.1379293] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/04/2024] [Accepted: 06/03/2024] [Indexed: 07/10/2024] Open
Abstract
Background Polycystic ovary syndrome (PCOS) is the most common reproductive-endocrine disorder with wide-ranging metabolic implications, including obesity. RNA editing, a post-transcriptional modification, can fine-tune protein function and introduce heterogeneity. However, the role of RNA editing and its impact on adipose tissue function in PCOS remain poorly understood. Methods This study aimed to comprehensively analyze RNA-editing events in abdominal and subcutaneous adipose tissue of PCOS patients and healthy controls using high-throughput whole-genome sequencing (WGS) and RNA sequencing. Results Our results revealed that PCOS patients exhibited more RNA-editing sites, with adenosine-to-inosine (A-to-I) editing being prevalent. The expression of ADAR genes, responsible for A-to-I editing, was also higher in PCOS. Aberrant RNA-editing sites in PCOS adipose tissue was enriched in immune responses, and interleukin-12 biosynthetic process. Tumor necrosis factor (TNF) signaling, nuclear factor kappa B (NF-κB) signaling, Notch signaling, terminal uridylyl transferase 4 (TUT4), hook microtubule tethering protein 3 (HOOK3), and forkhead box O1 (FOXO1) were identified to be of significant differences. Differentially expressed genes (DEGs) in PCOS adipose tissue were enriched in immune responses compared with controls, and the DEGs between subcutaneous and abdominal adipose tissue were also enriched in immune responses suggesting the important role of subcutaneous adipose tissue. Furthermore, we identified the correlations between RNA editing levels and RNA expression levels of specific genes, such as ataxia-telangiectasia mutated (ATM) and mucosa-associated lymphoid tissue lymphoma translocation protein 1 (MALT1) in inflammation pathways and ATM, TUT4, and YTH N6-methyladenosine RNA-binding protein C2 (YTHDC2) in oocyte development pathway. Conclusions These findings suggest that RNA-editing dysregulation in PCOS adipose tissue may contribute to inflammatory dysregulations. Understanding the interplay between RNA editing and adipose tissue function may unveil potential therapeutic targets for PCOS management. However, further research and validation are required to fully elucidate the molecular mechanisms underlying these associations.
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Affiliation(s)
- Hanxiao Chen
- Department of Obstetrics and Gynecology, West China Second University Hospital, Sichuan University, Chengdu, China
- Key Laboratory of Birth Defects and Related of Women and Children of Ministry of Education, West China Second University Hospital, Sichuan University, Chengdu, China
| | - Tongtong Li
- Center for Reproductive Medicine, Shandong University, Jinan, Shandong, China
- Department of Physiology School of Basic Medical Sciences, Cheeloo College of Medicine Shandong University, Jinan, Shandong, China
| | - Rui Gao
- Key Laboratory of Birth Defects and Related of Women and Children of Ministry of Education, West China Second University Hospital, Sichuan University, Chengdu, China
- The Reproductive Medical Center, Department of Obstetrics and Gynecology, West China Second University Hospital, Sichuan University, Chengdu, China
| | - Meng Cheng
- Department of Obstetrics and Gynecology, West China Second University Hospital, Sichuan University, Chengdu, China
- Key Laboratory of Birth Defects and Related of Women and Children of Ministry of Education, West China Second University Hospital, Sichuan University, Chengdu, China
| | - Qiong Zhang
- Department of Obstetrics and Gynecology, Sichuan Province Ziyang Maternal and Child Health Care Hospital, Ziyang, China
| | - Xiumei Liu
- Department of Obstetrics and Gynecology, Sichuan Province Ziyang Maternal and Child Health Care Hospital, Ziyang, China
| | - Mingli Chen
- Department of Obstetrics and Gynecology, Sichuan Province Ziyang Maternal and Child Health Care Hospital, Ziyang, China
| | - Xin Liao
- Key Laboratory of Birth Defects and Related of Women and Children of Ministry of Education, West China Second University Hospital, Sichuan University, Chengdu, China
- Department of Operation Room, West China Second University Hospital, Sichuan University, Chengdu, China
| | - Lang Qin
- Key Laboratory of Birth Defects and Related of Women and Children of Ministry of Education, West China Second University Hospital, Sichuan University, Chengdu, China
- The Reproductive Medical Center, Department of Obstetrics and Gynecology, West China Second University Hospital, Sichuan University, Chengdu, China
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Pasche E, Mottaz A, Caucheteur D, Gobeill J, Michel PA, Ruch P. Variomes: a high recall search engine to support the curation of genomic variants. Bioinformatics 2022; 38:2595-2601. [PMID: 35274687 PMCID: PMC9048643 DOI: 10.1093/bioinformatics/btac146] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2021] [Revised: 02/07/2022] [Accepted: 03/10/2022] [Indexed: 12/02/2022] Open
Abstract
Motivation Identification and interpretation of clinically actionable variants is a critical bottleneck. Searching for evidence in the literature is mandatory according to ASCO/AMP/CAP practice guidelines; however, it is both labor-intensive and error-prone. We developed a system to perform triage of publications relevant to support an evidence-based decision. The system is also able to prioritize variants. Our system searches within pre-annotated collections such as MEDLINE and PubMed Central. Results We assess the search effectiveness of the system using three different experimental settings: literature triage; variant prioritization and comparison of Variomes with LitVar. Almost two-thirds of the publications returned in the top-5 are relevant for clinical decision-support. Our approach enabled identifying 81.8% of clinically actionable variants in the top-3. Variomes retrieves on average +21.3% more articles than LitVar and returns the same number of results or more results than LitVar for 90% of the queries when tested on a set of 803 queries; thus, establishing a new baseline for searching the literature about variants. Availability and implementation Variomes is publicly available at https://candy.hesge.ch/Variomes. Source code is freely available at https://github.com/variomes/sibtm-variomes. SynVar is publicly available at https://goldorak.hesge.ch/synvar. Supplementary information Supplementary data are available at Bioinformatics online.
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Affiliation(s)
- Emilie Pasche
- SIB Text Mining Group, Swiss Institute of Bioinformatics, 1206 Geneva, Switzerland.,BiTeM Group, Information Sciences, 1227 Carouge, Switzerland HES-SO/HEG
| | - Anaïs Mottaz
- SIB Text Mining Group, Swiss Institute of Bioinformatics, 1206 Geneva, Switzerland.,BiTeM Group, Information Sciences, 1227 Carouge, Switzerland HES-SO/HEG
| | - Déborah Caucheteur
- SIB Text Mining Group, Swiss Institute of Bioinformatics, 1206 Geneva, Switzerland.,BiTeM Group, Information Sciences, 1227 Carouge, Switzerland HES-SO/HEG
| | - Julien Gobeill
- SIB Text Mining Group, Swiss Institute of Bioinformatics, 1206 Geneva, Switzerland.,BiTeM Group, Information Sciences, 1227 Carouge, Switzerland HES-SO/HEG
| | - Pierre-André Michel
- SIB Text Mining Group, Swiss Institute of Bioinformatics, 1206 Geneva, Switzerland.,BiTeM Group, Information Sciences, 1227 Carouge, Switzerland HES-SO/HEG
| | - Patrick Ruch
- SIB Text Mining Group, Swiss Institute of Bioinformatics, 1206 Geneva, Switzerland.,BiTeM Group, Information Sciences, 1227 Carouge, Switzerland HES-SO/HEG
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Wu D, Wang Y, Huang H. A novel variant of the IFITM5 gene within the 5'-UTR causes neonatal transverse clavicular fracture: Expanding the genetic spectrum. Mol Genet Genomic Med 2020; 8:e1287. [PMID: 32383316 PMCID: PMC7336742 DOI: 10.1002/mgg3.1287] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/11/2020] [Revised: 04/02/2020] [Accepted: 04/10/2020] [Indexed: 01/04/2023] Open
Abstract
Background Osteogenesis imperfecta (OI) type V is a rare heritable bone disorder caused by pathogenic variants of IFITM5. Only two mutated alleles in IFITM5 have been identified worldwide, the role of which in OI pathology is not fully understood. Methods A neonatal case of suspected OI, clinically manifested as a rare clavicle transection fracture with delayed early fracture healing, was studied. Subtle variants of OI‐associated genes were analyzed by whole exome sequencing and confirmed by Sanger sequencing. Results A de novo heterozygous pathogenic variant of IFITM5 within the 5′‐UTR (c.‐9C > A) was discovered in the proband. Bioinformatics analysis using a combination of various algorithms predicted that the variant would generate a new in‐frame start codon 9 bp upstream of the original and express a mutant IFITM5 protein with three additional amino acids (Met‐Glu‐Pro). After transfection into a eukaryocyte in vitro, the mutant IFITM5 construct produced a longer transcription product than that of wild‐type IFITM5. Conclusion This study identified a novel pathogenic variant of IFITM5, which not only manifested the molecular characteristics of IFITM5, but also provided new evidence for the study of the molecular mechanisms of IFITM5 association with OI.
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Affiliation(s)
- Dong Wu
- Department of Obstetrics and Gynecology, 900 Hospital of the Joint Logistics Team or Dongfang Hospital, Fuzhou, Fujian, People's Republic of China
| | - Yuxin Wang
- Department of Ultrasound, 900 Hospital of the Joint Logistics Team or Dongfang Hospital, Fuzhou, Fujian, People's Republic of China
| | - Huijuan Huang
- Department of Obstetrics and Gynecology, 900 Hospital of the Joint Logistics Team or Dongfang Hospital, Fuzhou, Fujian, People's Republic of China
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