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相关概念视频

Experimental RNAi02:15

Experimental RNAi

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RNA interference (RNAi) is a cellular mechanism that inhibits gene expression by suppressing its transcription or activating the RNA degradation process. The mechanism was discovered by Andrew Fire and Craig Mello in 1998 in plants. Today, it is observed in almost all eukaryotes, including protozoa, flies, nematodes, insects, parasites, and mammals. This precise cellular mechanism of gene silencing has been developed into a technique that provides an efficient way to identify and determine the...
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Cis-regulatory Sequences02:02

Cis-regulatory Sequences

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Cis-regulatory sequences are short fragments of non-coding DNA that are present on the same chromosomes as the genes that they regulate. These fragments serve as binding sites for transcriptional regulators, proteins that are responsible for controlling gene transcription and differential gene expression across cell types in eukaryotes. Cis-regulatory sequences can be close to the gene of interest or thousands of bases away in the DNA sequence; however, those sequences that are further away are...
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Cis-regulatory Sequences02:02

Cis-regulatory Sequences

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RNA-seq03:21

RNA-seq

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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...
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RACE - Rapid Amplification of cDNA Ends02:35

RACE - Rapid Amplification of cDNA Ends

7.1K
Rapid Amplification of cDNA Ends, or RACE, is one of the most effective methods to obtain a full-length cDNA from an mRNA sequence between a known internal region to the unknown sequence at the 5’ or 3’ end. The unknown region is cloned in the cDNA by a gene-specific primer that binds the known end, and a hybrid primer that attaches a predefined anchor sequence to the unknown end of the cDNA. The sequence in between is amplified by PCR with an anchor primer and a gene-specific...
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RNA Structure01:19

RNA Structure

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The basic structure of RNA consists of a string of ribonucleotides attached by phosphodiester bonds. Although most RNA is single-stranded, it can form complex secondary and tertiary structures. Such structures play essential roles in the regulation of transcription and translation.
Different Types of RNA Have the Same Basic Structure
There are three main types of ribonucleic acid (RNA) involved in protein synthesis: messenger RNA (mRNA), transfer RNA (tRNA), and ribosomal RNA (rRNA). All three...
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相关实验视频

Updated: Jan 12, 2026

Analyzing Tumor Gene Expression Factors with the CorExplorer Web Portal
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RNACOREX - - RNA协同调节网络探索器和分类器

Aitor Oviedo-Madrid1,2,3, José González-Gomariz1,2,3, Ruben Armañanzas1,2,3

  • 1Institute of Data Science and Artificial Intelligence, Universidad de Navarra, Pamplona, Spain.

PLoS computational biology
|November 3, 2025
PubMed
概括

研究人员开发了RNACOREX,这是一个Python工具,用于识别与疾病相关的微RNA-信使RNA网络. 这种工具有助于对疾病进行分类,了解基因调节,以便更好地进行诊断.

科学领域:

  • 生物信息学是一种生物信息学.
  • 计算生物学 计算生物学
  • 基因组学就是基因组学.

背景情况:

  • 微RNA (miRNA) 和信使RNA (mRNA) 的相互作用在疾病发展中至关重要.
  • 鉴定与疾病相关的可靠miRNA-mRNA调节网络是具有挑战性的,因为错误的阳性和缺乏用户友好的工具.

研究的目的:

  • 介绍RNACOREX,这是一个用于探索和分类RNA相关调节网络的Python包.
  • 使研究人员能够识别与疾病相关的miRNA-mRNA网络,并对新的表达数据进行分类.

主要方法:

  • RNACOREX将结构数据库信息与表达式数据分析集成在一起.
  • 使用有条件的相互信息推断可靠的miRNA-mRNA相互作用.
  • 使用条件线性高斯分类器 (CLG) 进行预测和网络验证.

主要成果:

  • 在13个癌症基因组图谱计划数据库中测试了RNACOREX.
  • 生成了转录后同调网络,并评估了瘤类型的分类性能.
  • 通过可解释的基于图形的模型,实现了与现有算法可比的竞争性预测性能.

结论:

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  • RNACOREX为分析与疾病相关的RNA同调节网络提供了一种有效和可解释的工具.
  • 该包方便新样本的分类和推断生物网络的验证.
  • 突出了miRNA-mRNA相互作用在癌症患者分类和生存预测中的潜力.