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相关概念视频

Master Transcription Regulators02:23

Master Transcription Regulators

6.9K
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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Combinatorial Gene Control02:33

Combinatorial Gene Control

8.3K
Combinatorial gene control is the synergistic action of several transcriptional factors to regulate the expression of a single gene. The absence of one or more of these factors may lead to a significant difference in the level of gene expression or repression.
The expression of more than 30,000 genes is controlled by approximately 2000-3000 transcription factors. This is possible because a single transcription factor can recognize more than one regulatory sequence. The specificity in gene...
8.3K
Cooperative Binding of Transcription Regulators02:13

Cooperative Binding of Transcription Regulators

6.4K
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...
6.4K
Cis-regulatory Sequences02:02

Cis-regulatory Sequences

9.8K
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...
9.8K
Genome Annotation and Assembly03:36

Genome Annotation and Assembly

18.8K
The genome refers to all of the genetic material in an organism. It can range from a few million base pairs in microbial cells to several billion base pairs in many eukaryotic organisms. Genome assembly refers to the process of taking the DNA sequencing data and putting it all back together in a correct order to create a close representation of the original genome. This is followed by the identification of functional elements on the newly assembled genome, a process called genome annotation.
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Operon Model01:23

Operon Model

2
The operon model represents a fundamental mechanism of gene regulation in prokaryotes, enabling coordinated expression of genes involved in related metabolic or functional pathways. Operons consist of structural genes, a promoter, and an operator, with transcription regulated by repressors, activators, and small effector molecules.Structure and Function of OperonsAn operon is a cluster of structural genes transcribed together under the control of a single promoter. The promoter region...
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相关实验视频

Updated: Jun 6, 2025

Inherent Dynamics Visualizer, an Interactive Application for Evaluating and Visualizing Outputs from a Gene Regulatory Network Inference Pipeline
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整合先前的知识使用转换器的基因调节网络推理.

Guangzheng Weng1, Patrick Martin2, Hyobin Kim2

  • 1Biotech Research and Innovation Centre (BRIC), University of Copenhagen, Ole Maaløes Vej 5, Copenhagen, 2200, Denmark.

Advanced science (Weinheim, Baden-Wurttemberg, Germany)
|November 28, 2024
PubMed
概括

这项研究引入了GRNPT,一种用于基因调节网络 (GRN) 推断的新框架. GRNPT准确地预测了不同细胞类型的基因调节,即使数据有限.

关键词:
深度学习是一种深度学习.基因监管网络 基因监管网络推理推论是指一个推理.大型语言模型时间卷积网络变压器的变压器是一个变压器.

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A Multilayer Microfluidic Platform for the Conduction of Prolonged Cell-Free Gene Expression
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相关实验视频

Last Updated: Jun 6, 2025

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科学领域:

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

背景情况:

  • 基因调节网络 (GRN) 推断旨在从实验数据中发现基因调节规则.
  • 目前的方法面临的挑战是将其推广到多种细胞类型,并识别新的调节剂.

研究的目的:

  • 开发一个新的框架,GRNPT,用于强大的和可通用的GRN推断.
  • 克服现有方法在处理多种细胞类型和看不见的调节器方面的局限性.

主要方法:

  • GRNPT使用基于变压器的架构,集成大型语言模型 (LLM) 嵌入.
  • 它包含一个时卷积网络 (TCN) 自编码器来分析单细胞RNA测序 (scRNA-seq) 轨迹.
  • 该框架利用公开可用的生物数据来LLM嵌入生成.

主要成果:

  • GRNPT显著优于现有的监督和无监督的GRN推断方法.
  • 该框架显示出卓越的性能,尤其是在有限的培训数据的情况下.
  • GRNPT显示出异常的概括性,准确地预测了新型细胞类型和看不见的调节者的调节关系.

结论:

  • GRNPT提供了一种更准确,更全面的方法来理解基因调节动态.
  • 法学士知识和深度学习的整合增强了GRN的推断能力.
  • 这一框架促进了新监管规则和生物见解的发现.