Single-Cell RNA Transcriptome of the Human Endometrium Reveals Epithelial Characterizations Associated with Recurrent Implantation Failure

IF 3.2 3区 生物学 Q3 MATERIALS SCIENCE, BIOMATERIALS Advanced biology Pub Date : 2023-09-10 DOI:10.1002/adbi.202300110
Hong Zhang, Chanyu Zhang, Shen Zhang
{"title":"Single-Cell RNA Transcriptome of the Human Endometrium Reveals Epithelial Characterizations Associated with Recurrent Implantation Failure","authors":"Hong Zhang,&nbsp;Chanyu Zhang,&nbsp;Shen Zhang","doi":"10.1002/adbi.202300110","DOIUrl":null,"url":null,"abstract":"<p>Recurrent implantation failure (RIF) remains a complex and poorly characterized disorder despite significant advancements in assisted reproductive technology. This study utilizes single-cell transcriptome sequencing (scRNA-seq) to characterize the mid-secretory endometrium of RIF patients. Stromal fibroblast-enriched and epithelium-enriched populations are collected using a two-step dissociation process. After quality control, 25,315 individual cells from 3 RIF patients are analyzed. The analysis identifies 12 distinct cell types, including 6 subtypes of epithelial cells. Significantly, the study reveals the replacement of glandular epithelia with MAP2K6<sup>+</sup>EPCAM<sup>DIM</sup> epithelia in the endometrial glands of RIF patients. Furthermore, the study demonstrates that endometrial gland organoids derived from RIF patients exhibit diminished responses to sex steroids compared to the controls. Single-cell regulatory network inference and clustering (SCENIC) analysis identifies cell-specific <i>cis</i>-regulatory elements and constructed regulatory networks in both groups, showing alterations gene-regulatory networks in RIF patients. Cell-cell communication analysis distinguishes intercellular communication between the two groups, shedding light on disrupted cellular interactions associated with RIF. In summary, these findings provide valuable insights into the cellular and molecular mechanisms underlying RIF, highlighting the roles of epithelial cells in the implantation process.</p>","PeriodicalId":7234,"journal":{"name":"Advanced biology","volume":"8 1","pages":""},"PeriodicalIF":3.2000,"publicationDate":"2023-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Advanced biology","FirstCategoryId":"99","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/adbi.202300110","RegionNum":3,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"MATERIALS SCIENCE, BIOMATERIALS","Score":null,"Total":0}
引用次数: 0

Abstract

Recurrent implantation failure (RIF) remains a complex and poorly characterized disorder despite significant advancements in assisted reproductive technology. This study utilizes single-cell transcriptome sequencing (scRNA-seq) to characterize the mid-secretory endometrium of RIF patients. Stromal fibroblast-enriched and epithelium-enriched populations are collected using a two-step dissociation process. After quality control, 25,315 individual cells from 3 RIF patients are analyzed. The analysis identifies 12 distinct cell types, including 6 subtypes of epithelial cells. Significantly, the study reveals the replacement of glandular epithelia with MAP2K6+EPCAMDIM epithelia in the endometrial glands of RIF patients. Furthermore, the study demonstrates that endometrial gland organoids derived from RIF patients exhibit diminished responses to sex steroids compared to the controls. Single-cell regulatory network inference and clustering (SCENIC) analysis identifies cell-specific cis-regulatory elements and constructed regulatory networks in both groups, showing alterations gene-regulatory networks in RIF patients. Cell-cell communication analysis distinguishes intercellular communication between the two groups, shedding light on disrupted cellular interactions associated with RIF. In summary, these findings provide valuable insights into the cellular and molecular mechanisms underlying RIF, highlighting the roles of epithelial cells in the implantation process.

Abstract Image

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
人类子宫内膜的单细胞 RNA 转录组揭示了与反复着床失败有关的上皮特征。
尽管辅助生殖技术取得了重大进展,但复发性着床失败(RIF)仍是一种复杂且特征不清的疾病。本研究利用单细胞转录组测序(scRNA-seq)来描述RIF患者分泌中期子宫内膜的特征。采用两步分离法收集富含基质成纤维细胞和富含上皮细胞的群体。经过质量控制后,对来自 3 名 RIF 患者的 25,315 个细胞进行了分析。分析确定了 12 种不同的细胞类型,包括 6 种上皮细胞亚型。重要的是,该研究揭示了在 RIF 患者的子宫内膜腺体中,腺上皮被 MAP2K6+ EPCAMDIM 上皮取代。此外,研究还表明,与对照组相比,RIF 患者的子宫内膜腺体器官组织对性激素的反应减弱。单细胞调控网络推断和聚类(SCENIC)分析确定了两组细胞特异性顺式调控元件和构建的调控网络,显示了RIF患者基因调控网络的改变。细胞-细胞通讯分析区分了两组患者的细胞间通讯,揭示了与RIF相关的细胞间相互作用的破坏。总之,这些发现为 RIF 的细胞和分子机制提供了宝贵的见解,突出了上皮细胞在植入过程中的作用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
Advanced biology
Advanced biology Biochemistry, Genetics and Molecular Biology-Biochemistry, Genetics and Molecular Biology (all)
CiteScore
6.60
自引率
0.00%
发文量
130
期刊最新文献
A Novel UBM/SIS Composite Biological Scaffold for 2-Year Abdominal Defect Repairing and Strength Recovery in Canine Model. Advanced 2D Nanomaterials for Phototheranostics of Breast Cancer: A Paradigm Shift. Predicting Clinical Outcomes of SARS-CoV-2 Drug Efficacy with a High-Throughput Human Airway Microphysiological System (Adv. Biology 11/2024) Accurate Identification of Cancer Cells in Complex Pre-Clinical Models Using a Deep-Learning Neural Network: A Transfection-Free Approach (Adv. Biology 11/2024) Masthead: (Adv. Biology 11/2024)
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1