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相关概念视频

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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Cooperative Binding of Transcription Regulators02:13

Cooperative Binding of Transcription Regulators

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Transcriptional regulators bind to specific cis-regulatory sequences in the DNA to regulate gene transcription. These cis-regulatory sequences are very short, usually less than ten nucleotide pairs in length. The short length means that there is a high probability of the exact same sequence randomly occurring throughout the genome.  Since regulators can also bind to groups of similar sequences, this further increases the chances of random binding. Transcriptional regulators form...
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RNA Polymerase II Accessory Proteins02:36

RNA Polymerase II Accessory Proteins

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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...
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Master Transcription Regulators02:23

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...
6.9K
Co-activators and Co-repressors02:04

Co-activators and Co-repressors

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Gene transcription is regulated by the synergistic action of several proteins that form a complex at a gene regulatory site. This is observed in eukaryotes, where the regulation of gene expression is a complex process. Regulatory proteins in eukaryotes can broadly be classified into two types – regulators that bind directly to specific DNA sequences and co-regulators that associate with regulatory proteins but cannot directly bind to the DNA. These co-regulators are further divided into...
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Transcription01:17

Transcription

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Transcription is the synthesis of RNA from a DNA sequence by RNA polymerase. It is the first step in producing a protein from a gene sequence. Additionally, many other proteins and regulatory sequences are involved in correctly synthesizing messenger RNA (mRNA). Transcriptional regulation is responsible for the differentiation of different types of cells and often for the proper cellular response to environmental signals.
Transcription Can Produce Different Kinds of RNA Molecules
In eukaryotes,...
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相关实验视频

Updated: Jun 28, 2025

Author Spotlight: Impact of Intergenic Interactions on Disease-Identifying Dark Biomarkers
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Author Spotlight: Impact of Intergenic Interactions on Disease-Identifying Dark Biomarkers

Published on: March 1, 2024

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深度学习对转录调节的序列模型

Ksenia Sokolova1, Kathleen M Chen1, Yun Hao2

  • 1Department of Computer Science and Lewis-Sigler Institute for Integrative Genomics, Princeton University, Princeton, New Jersey, USA; email: sokolova@princeton.edu, kc31@princeton.edu, ogt@cs.princeton.edu.

Annual review of genomics and human genetics
|April 10, 2024
PubMed
概括

深度学习模型分析DNA序列,以了解基因表达调节和遗传变异的影响. 这些模型预测了基因组变异的功能后果,为生物机制提供了洞察力.

关键词:
在这里,我们可以看到AIAIAI.深度学习是一种深度学习.基因组学就是基因组学.机器学习是机器学习.序列模型的模型.转录规则 转录规则 转录规则

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Real-time Analysis of Transcription Factor Binding, Transcription, Translation, and Turnover to Display Global Events During Cellular Activation
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科学领域:

  • 基因组学就是基因组学.
  • 计算生物学 计算生物学
  • 分子生物学分子生物学

背景情况:

  • 了解基因表达调节和遗传变异的影响在人类遗传学中至关重要.
  • 来自实验技术的丰富数据使先进的计算方法成为可能.

研究的目的:

  • 开发基于序列的深度学习模型来破译基因表达的监管代码.
  • 解释基因组变异的转录效应,并预测非编码变异的功能后果.

主要方法:

  • 利用基于序列的深度学习模型将DNA模式与调节性质联系起来.
  • 模拟表观遗传标记,3D基因组组织和具有组织/细胞类型特异性的基因表达.
  • 应用可解释性方法来识别关键序列模式和生物机制.

主要成果:

  • 模型可以预测任何非编码变体的功能后果,包括罕见或新鲜的变体.
  • 变体后果的系统性表征超出了实验可处理性.
  • 确定驱动监管预测的关键序列模式.

结论:

  • 深度学习模型为理解基因调节和基因组变异提供了强大的工具.
  • 可解释性方法提供生物见解,并指导未来的模型开发.
  • 这些方法推进了对遗传变异效应的系统性表征.