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通过微阵列分析胎盘部位滋养细胞肿瘤(PSTT)中长链非编码 RNA 和信使 RNA 的表达谱。

Expression profiling of lncRNAs and mRNAs in placental site trophoblastic tumor (PSTT) by microarray.

机构信息

Shanghai Key Laboratory of Female Reproductive Endocrine Related Diseases, Obstetrics and Gynecology Hospital, Fudan University, Shanghai 200011, People's Republic of China.

Department of Obstetrics and Gynecology of Shanghai Medical School, Fudan University, Shanghai 200032, People's Republic of China.

出版信息

Int J Med Sci. 2022 Jan 1;19(1):1-12. doi: 10.7150/ijms.65002. eCollection 2022.

Abstract

As a rare type of gestational trophoblastic disease, placental site trophoblastic tumor (PSTT) is originated from intermediate trophoblast cells. Long noncoding RNAs (lncRNAs) regulate numerous biological process. However, the role of lncRNAs in PSTT remains poorly understood. In the present study, expression levels of lncRNAs and mRNAs in four human PSTT tissues and four normal placental villi were investigated. The results of microarray were validated by the reverse transcription and quantitative real-time polymerase reaction (RT-qPCR) and immunohistochemistry analyses. Furthermore, GO and KEGG pathway analyses were performed to identify the underlying biological processes and signaling pathways of aberrantly expressed lncRNAs and mRNAs. We also conducted the coding-non-coding gene co-expression (CNC) network to explore the interaction of altered lncRNAs and mRNAs. In total, we identified 1247 up-regulated lncRNAs and 1013 down-regulated lncRNAs as well as 828 up-regulated mRNAs and 1393 down-regulated mRNAs in PSTT tissues compared to normal villi (fold change ≥ 2.0, p < 0.05). GO analysis showed that mitochondrion was the most significantly down-regulated GO term, and immune response was the most significantly up-regulated term. A CNC network profile based on six confirmed lncRNAs (NONHSAT114519, NR_103711, NONHSAT003875, NONHSAT136587, NONHSAT134431, NONHSAT102500) as well as 354 mRNAs was composed of 497 edges. GO and KEGG analyses indicated that interacted mRNAs were enriched in the signal-recognition particle (SRP)-dependent cotranslational protein targeting to membrane and Ribosome pathway. It contributes to expand the understanding of the aberrant lncRNAs and mRNAs profiles of PSTT, which may be helpful for the exploration of new diagnosis and treatment of PSTT.

摘要

作为一种罕见的妊娠滋养细胞肿瘤,胎盘部位滋养细胞肿瘤(PSTT)起源于中间滋养细胞。长链非编码 RNA(lncRNA)调节着众多的生物学过程。然而,lncRNA 在 PSTT 中的作用仍知之甚少。本研究检测了 4 例人 PSTT 组织和 4 例正常胎盘绒毛中的 lncRNA 和 mRNA 的表达水平。芯片结果通过逆转录和实时定量聚合酶链反应(RT-qPCR)及免疫组织化学分析进行验证。此外,进行了 GO 和 KEGG 通路分析,以鉴定异常表达的 lncRNA 和 mRNA 所涉及的潜在生物学过程和信号通路。还进行了编码非编码基因共表达(CNC)网络分析,以探讨改变的 lncRNA 和 mRNA 之间的相互作用。与正常绒毛相比,PSTT 组织中共有 1247 个上调的 lncRNA 和 1013 个下调的 lncRNA 以及 828 个上调的 mRNA 和 1393 个下调的 mRNA(倍数变化≥2.0,p<0.05)。GO 分析显示,线粒体是最显著下调的 GO 术语,免疫反应是最显著上调的术语。基于 6 个验证的 lncRNA(NONHSAT114519、NR_103711、NONHSAT003875、NONHSAT136587、NONHSAT134431、NONHSAT102500)和 354 个 mRNA 的 CNC 网络图谱由 497 个边组成。GO 和 KEGG 分析表明,相互作用的 mRNA 富集于信号识别颗粒(SRP)依赖性共翻译蛋白靶向膜和核糖体途径。这有助于扩大对 PSTT 中异常 lncRNA 和 mRNA 谱的认识,这可能有助于探索 PSTT 的新诊断和治疗方法。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/89d8/8692111/81e434962089/ijmsv19p0001g001.jpg

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