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相关概念视频

Regulation of Expression at Multiple Steps01:23

Regulation of Expression at Multiple Steps

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The gene expression in cells is regulated at different stages: (i) transcription, (ii) RNA processing, (iii) RNA localization, and (iv) translation. Transcriptional regulation is mediated by regulatory proteins such as transcription factors, activators, or repressors—these control gene expression by initiating or inhibiting the transcription of genes. Once a precursor or pre-mRNA is produced, it undergoes post-transcriptional modification, including 5' capping, splicing, and the...
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Regulation of Expression Occurs at Multiple Steps02:24

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Gene expression can be regulated at almost every step from gene to protein. Transcription is the step that is most commonly regulated. This involves the binding of proteins to short regulatory sequences on the DNA. This association can either promote or inhibit the transcription of a gene associated with the respective sequence.
Transcription results in the generation of precursor (pre-mRNA) that consists of both exons and introns, which needs further processing before being translated to a...
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What is Gene Expression?01:36

What is Gene Expression?

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A gene is a stretch of DNA that serves as the blueprint for functional RNAs and proteins. Since DNA is comprised  of nucleotides and proteins are comprised of amino acids, a mediator is required to convert the information encoded in DNA into proteins. This mediator is the messenger RNA (mRNA). mRNA copies the blueprint from DNA by a process called transcription. In eukaryotes, transcription occurs in the nucleus by complementary base-pairing with the DNA template. The mRNA is then...
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Master Transcription Regulators

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Master transcription regulators are regulatory proteins that are predominantly responsible for regulating the expression of multiple genes. Often these genes work in concert to drive a  complex process. Activation of a master transcription regulator can lead to a cascade of transcriptional activation necessary for that outcome. These regulators can directly bind to the regulatory sequences of the various genes involved, or they can indirectly regulate transcription by binding to regulatory...
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Structure of a Gene01:30

Structure of a Gene

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A gene is the fundamental unit of heredity. Every individual has two copies of each gene, one inherited from each parent. Although most people contain the same genes, there is a small fraction that is slightly different amongst people. A gene with a small difference in its sequence of DNA bases forms different alleles, contributing to different phenotypes.
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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.
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相关实验视频

Updated: Jun 16, 2025

Author Spotlight: Impact of Intergenic Interactions on Disease-Identifying Dark Biomarkers
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使用可解释的深度表示学习解读3'UTR介导基因调节.

Yuning Yang1, Gen Li2, Kuan Pang2

  • 1School of Information Science and Technology, Northeast Normal University, Changchun, Jilin, 130117, China.

Advanced science (Weinheim, Baden-Wurttemberg, Germany)
|August 19, 2024
PubMed
概括
此摘要是机器生成的。

3UTRBERT是一种新型语言模型,使用变压器技术分析信使RNA的3'未翻译区域 (3'UTR). 它准确地确定了监管要素,优于现有方法,并增强对转录后监管的理解.

关键词:
3' UTRs 的时间.RNARBP相互作用的相互作用深度表示学习学习 (deep representation learning) 是一种学习方式.m6A 修改偏好的情况mRNA 亚细胞局部化

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科学领域:

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

背景情况:

  • 使者RNA 3'未翻译区域 (3'UTRs) 含有由功能和进化约束影响的关键 cis 调节元素.
  • 这些约束类似于语言语法,表明自然语言处理 (NLP) 技术可以模拟RNA序列.

研究的目的:

  • 介绍3UTRBERT,一种基于注意力的语言模型,将变压器的双向编码器表示 (BERT) 应用于3'UTR分析.
  • 评估3UTRBERT在下游任务中的有效性,包括RBP结合位点识别,m6ARNA修饰位点检测和RNA亚细胞局部化预测.

主要方法:

  • 预训练 3UTRBERT 在聚合的人类mRNA 3'UTR序列上以任务不可知的方式.
  • 为特定的序列标记任务微调预训练模型.
  • 利用自我注意机制可视化序列元素关系.

主要成果:

  • 与当代方法相比,3UTRBERT在各种3'UTR分析任务中表现出卓越的性能.
  • 该模型通过可视化序列元素内的语义关系,有效地识别了调节区域.
  • 基准结果证实了该模型在预测RBP结合部位,m6A部位和RNA定位方面的能力.

结论:

  • 在3'UTR研究中,3UTRBERT是分析序列标记任务的基础工具.
  • 该模型通过先进的NLP技术提高了转录后调节机制的破译能力.
  • 3UTRBERT的自我注意力机制为RNA序列功能和调节提供了宝贵的见解.