对长非编码RNA的突变密度分析揭示了与蛋白质编码RNA和预后值相似的模式

对长非编码RNA的突变密度分析揭示了与蛋白质编码RNA和预后值相似的模式

相关实验视频

Updated: Jul 12, 2025

CRISPR Gene Editing Tool for MicroRNA Cluster Network Analysis

10:40

CRISPR Gene Editing Tool for MicroRNA Cluster Network Analysis

Published on: April 25, 2022

2.4K

Troy Zhang¹, Hui Yu¹, Yongsheng Bai²

¹Department of Public Health and Sciences, Sylvester Comprehensive Cancer Center, University of Miami, Miami, FL 33136, USA.

Computational and structural biotechnology journal

|October 20, 2023

概括

长非编码RNAs (lncRNAs) 显示突变密度模式类似于癌症中的蛋白质编码信使RNAs (mRNAs). 这一发现突显了lncRNA突变在癌症研究中的潜在作用.

科学领域:

基因组学就是基因组学.
癌症生物学癌症生物学
分子瘤学分子瘤学

背景情况:

基因组研究传统上侧重于蛋白质编码基因中的突变和基因表达.
基因组技术和计算方法的进步扩大了研究范围,包括突变密度和非编码RNA.
与非编码RNA,特别是长非编码RNA (lncRNA) 进行突变密度分析的整合仍然未被探索.

研究的目的:

为了研究跨不同癌症类型的长非编码RNA (lncRNA) 突变密度模式.
将lncRNA突变模式与蛋白质编码信使RNA (mRNA) 的突变模式进行比较.
探索 lncRNA 突变模式,转录链偏差和患者预后之间的关联.

主要方法:

在80个癌症队列中分析了57种癌症类型的lncRNA突变密度模式.
将lncRNA突变模式与蛋白质编码mRNA突变模式进行比较.
转录链偏差的统计分析及其与预后的相关性,使用Log Odds Ratio度量.

主要成果:

lncRNAs表现出类似于蛋白质编码mRNAs的突变密度模式,包括转录开始地点附近的峰值和下降.
在许多队列中观察到具有统计意义的转录链偏差,无论是lncRNA还是mRNA.
某些转录链偏差与患者的预后有关,可能与转录合修复机制有关.

结论:

这项研究是首次将突变密度模式与lncRNA突变结合起来.
lncRNAs表现出与蛋白质编码mRNAs相似的突变模式,这强调了它们在癌症中的重要性.
这些发现表明,lncRNAs在癌症的发展和进展中起着至关重要的作用,需要进一步研究.

关键词:

长长的非编码RNA.突变密度突变密度突变密度突变密度突变链偏差突变链偏差转录开始网站转录网站

更多相关视频

RNA Pull-down Procedure to Identify RNA Targets of a Long Non-coding RNA

09:36

RNA Pull-down Procedure to Identify RNA Targets of a Long Non-coding RNA

Published on: April 10, 2018

25.4K

miRNA Expression Analyses in Prostate Cancer Clinical Tissues

11:29

miRNA Expression Analyses in Prostate Cancer Clinical Tissues

Published on: September 8, 2015

10.9K

相关概念视频

02:39

lncRNA - Long Non-coding RNAs

8.6K

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...

8.6K

01:20

Types of RNA

5.8K

Three main types of RNA are involved in protein synthesis: messenger RNA (mRNA), transfer RNA (tRNA), and ribosomal RNA (rRNA). These RNAs perform diverse functions and can be broadly classified as protein-coding or non-coding RNA. Non-coding RNAs play important roles in regulating gene expression in response to developmental and environmental changes. Non-coding RNAs in prokaryotes can be manipulated to develop more effective antibacterial drugs for human or animal use.
RNA Performs Diverse...

5.8K

02:24

Ribosome Profiling

3.5K

Ribosome profiling or ribo-sequencing is a deep sequencing technique that produces a snapshot of active translation in a cell. It selectively sequences the mRNAs protected by ribosomes to get an insight into a cell’s translation landscape at any given point in time.
Applications of ribosome profiling
Ribosome profiling has many applications, including in vivo monitoring of translation inside a particular organ or tissue type and quantifying new protein synthesis levels.
The technique...

3.5K

01:22

MicroRNAs

3.0K

MicroRNA (miRNA) are short, regulatory RNA transcribed from introns (non-coding regions of a gene) or intergenic regions (stretches of DNA present between genes). Several processing steps are required to form biologically active, mature miRNA. The initial transcript, called primary miRNA (pri-mRNA), base-pairs with itself, forming a stem-loop structure. Within the nucleus, an endonuclease enzyme, called Drosha, shortens the stem-loop structure into hairpin-shaped pre-miRNA. After the pre-miRNA...