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相关概念视频

Regulation of Expression at Multiple Steps01:23

Regulation of Expression at Multiple Steps

863
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...
863
Regulation of Expression Occurs at Multiple Steps02:24

Regulation of Expression Occurs at Multiple Steps

22.4K
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...
22.4K
What is Gene Expression?01:42

What is Gene Expression?

166.6K
Overview
Gene expression is the process in which DNA directs the synthesis of functional products, that is, proteins. Cells can regulate gene expression at various stages. It allows organisms to generate different cell types and enables cells to adapt to internal and external factors.
Genetic Information Flows from DNA to RNA to Protein
A gene is a stretch of DNA that serves as the blueprint for functional RNAs and proteins. Since DNA is made up of nucleotides and proteins consist of amino...
166.6K
Cis-regulatory Sequences02:02

Cis-regulatory Sequences

2.9K
2.9K
RNA Polymerase II Accessory Proteins02:36

RNA Polymerase II Accessory Proteins

9.1K
Proteins that regulate transcription can do so either via direct contact with RNA Polymerase or through indirect interactions facilitated by adaptors, mediators, histone-modifying proteins, and nucleosome remodelers. Direct interactions to activate transcription is seen in bacteria as well as in some eukaryotic genes. In these cases, upstream activation sequences are adjacent to the promoters, and the activator proteins interact directly with the transcriptional machinery. For example, in...
9.1K
Ribosome Profiling02:24

Ribosome Profiling

3.4K
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...
3.4K

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相关实验视频

Updated: May 24, 2025

Prediction and Validation of Gene Regulatory Elements Activated During Retinoic Acid Induced Embryonic Stem Cell Differentiation
09:07

Prediction and Validation of Gene Regulatory Elements Activated During Retinoic Acid Induced Embryonic Stem Cell Differentiation

Published on: June 21, 2016

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学习发现基因表达预测的调控元素.

Xingyu Su, Haiyang Yu, Degui Zhi

    ArXiv
    |March 4, 2025
    PubMed
    概括

    Seq2Exp通过识别关键的DNA调节元素,准确地预测基因表达. 这种新方法增强了基因表达预测,并发现了有影响力的基因组区域.

    科学领域:

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

    背景情况:

    • 从DNA序列预测基因表达对于理解基因调节至关重要.
    • 识别控制基因表达的调节元素仍然是基因组学中的一个重大挑战.

    研究的目的:

    • 介绍Seq2Exp,一个新的Sequence to Expression网络,旨在发现和提取驱动基因表达的调节元素.
    • 通过捕捉DNA序列,表观遗传信号和调节元素之间的因果关系来提高基因表达预测的准确性.

    主要方法:

    • Seq2Exp分解了因果活性调节元件条件下的表观基因信号和DNA序列.
    • 使用Beta分布的信息瓶来整合效应并过非因果成分.
    • 该方法旨在明确地建模调控元素和基因表达之间的因果关系.

    主要成果:

    • 在基因表达预测任务中,Seq2Exp在现有基线方法中表现出优越的性能.
    • 该方法成功识别了有影响力的基因组区域,超过了传统的峰值检测方法,如MACS3.
    • 实验验证证证实了Seq2Exp在发现监管元素方面的有效性.

    结论:

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    Using SCOPE to Identify Potential Regulatory Motifs in Coregulated Genes
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    Using SCOPE to Identify Potential Regulatory Motifs in Coregulated Genes

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    Exploring Sequence Space to Identify Binding Sites for Regulatory RNA-Binding Proteins
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    Exploring Sequence Space to Identify Binding Sites for Regulatory RNA-Binding Proteins

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    Using SCOPE to Identify Potential Regulatory Motifs in Coregulated Genes
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    Using SCOPE to Identify Potential Regulatory Motifs in Coregulated Genes

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    • Seq2Exp为基因表达预测和调控元素发现提供了一个强大的新工具.
    • 该模型捕捉因果关系的能力增强了我们对基因调节的理解.
    • 源代码已可用,有助于在该领域进行进一步的研究和应用.