相关实验视频
Updated: Jan 6, 2026
08:25
Identification of Circular RNAs using RNA Sequencing
Published on: November 14, 2019
12.7K
单细胞RNA测序揭示了高度血清性卵巢癌中假定的lncRNA相关的ceRNA网络
Johyeon Nam1, Mi-Ryung Han2,3
1Division of Life Sciences, College of Life Sciences and Bioengineering, Incheon National University, Incheon, 22014, Republic of Korea.
Genes & genomics
|October 16, 2025
概括
研究人员确定了一种新的竞争性内源RNA (ceRNA) 网络,MIR100HG-mir-224-5p-EYA4,在高度血清性卵巢癌 (HGSOC) 中. 这个网络可能通过影响Wnt信号来推动瘤的进展,为HGSOC提供潜在的治疗点.
科学领域:
- 在瘤学瘤学.
- 分子生物学分子生物学
- 基因组学就是基因组学.
背景情况:
- 高度血清性卵巢癌 (HGSOC) 是一种具有高复发率和不良预后的侵袭性恶性瘤.
- 竞争性内源性RNA (ceRNA) 网络在HGSOC瘤进展中的作用,特别是涉及长非编码RNA (lncRNAs),在细胞类型特定的水平上尚不完全理解.
研究的目的:
- 确定在HGSOC瘤微环境中特别活跃的lncRNA相关的ceRNA网络.
- 阐明HGSOC发展的基础分子机制,并确定潜在的治疗点.
主要方法:
- 单细胞RNA测序 (scRNA-seq) 和大量RNA-seq数据的综合分析.
- 高维权基因共同表达网络分析,以确定癌细胞特异的ceRNA模块.
- 使用癌症基因组图谱 (TCGA) 和途径丰富分析进行验证和功能注释.
主要成果:
- 一个癌细胞特异的ceRNA网络涉及MIR100HG,mir-224-5p和EYA4被确定.
- MIR100HG作为mir-224-5p的分子海绵,缓解其抑制EYA4,得到种子匹配分析的支持.
- 已识别的ceRNA网络与Wnt信号通路联系在一起,这对于瘤启动和转移至关重要.
结论:
- MIR100HG-mir-224-5p-EYA4 ceRNA网络可能通过Wnt信号调制促进HGSOC的进展.
- 这项研究揭示了在卵巢癌发展中的新型后转录性调节机制.
- 研究结果表明,在HGSOC.中针对这个ceRNA网络的潜在治疗策略.
相关概念视频
02:39lncRNA - Long Non-coding RNAs
9.7K
In humans, more than 80% of the genome gets transcribed. However, only around 2% of the genome codes for proteins. The remaining part produces non-coding RNAs which includes ribosomal RNAs, transfer RNAs, telomerase RNAs, and regulatory RNAs, among other types. A large number of regulatory non-coding RNAs have been classified into two groups depending upon their length – small non-coding RNAs, such as microRNA, which are less than 200 nucleotides in length, and long non-coding RNA...
9.7K
02:39lncRNA - Long Non-coding RNAs
3.4K
3.4K
02:55The Nucleolus
10.2K
The nucleolus is the most prominent substructure of the nucleus. When it was first discovered, it was considered to be an isolated organelle that forms fibrils and granules. In 1931, the relationship between the nucleolus and chromosomes was first described by Heitz. He observed that the appearance and size of nucleolus varies depending on the stage of the cell cycle. He also noticed constricted regions on different chromosomes clustered together at definite cell cycle stages. These regions,...
10.2K
03:21RNA-seq
11.7K
RNA sequencing, or RNA-Seq, is a high-throughput sequencing technology used to study the transcriptome of a cell. Transcriptomics helps to interpret the functional elements of a genome and identify the molecular constituents of an organism. Additionally, it also helps in understanding the development of an organism and the occurrence of diseases.
Before the discovery of RNA-seq, microarray-based methods and Sanger sequencing were used for transcriptome analysis. However, while...
Before the discovery of RNA-seq, microarray-based methods and Sanger sequencing were used for transcriptome analysis. However, while...
11.7K
02:21Cancers Originate from Somatic Mutations in a Single Cell
14.5K
Cancer arises from mutations in the critical genes that allow healthy cells to escape cell cycle regulation and acquire the ability to proliferate indefinitely. Though originating from a single mutation event in one of the originator cells, cancer progresses when the mutant cell lines continue to gain more and more mutations, and finally, become malignant. For example, chronic myelogenous leukemia (CML) develops initially as a non-lethal increase in white blood cells, which progressively...
14.5K