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相关概念视频

Transcription Factors02:16

Transcription Factors

82.2K
Tissue-specific transcription factors contribute to diverse cellular functions in mammals. For example, the gene for beta globin, a major component of hemoglobin, is present in all cells of the body. However, it is only expressed in red blood cells because the transcription factors that can bind to the promoter sequences of the beta globin gene are only expressed in these cells. Tissue-specific transcription factors also ensure that mutations in these factors may impair only the function of...
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General Transcription Factors01:30

General Transcription Factors

6.7K
Tissue-specific transcription factors contribute to diverse cellular functions in mammals. For example, the gene for beta globin, a major component of hemoglobin, is present in all cells of the body. However, it is only expressed in red blood cells because the transcription factors that can bind to the promoter sequences of the beta globin gene are only expressed in these cells. Tissue-specific transcription factors also ensure that mutations in these factors may impair only the function of...
6.7K
Combinatorial Gene Control02:33

Combinatorial Gene Control

9.5K
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...
9.5K
Chromatin Immunoprecipitation- ChIP02:36

Chromatin Immunoprecipitation- ChIP

12.1K
Chromatin immunoprecipitation, or ChIP, is an antibody-based technique used to identify sites on DNA that bind to transcription factors of interest or histone proteins. It also helps determine the type of histone modifications such as acetylation, phosphorylation, or methylation.
Types of ChIP
ChIP can be divided into two types - X-ChIP and N-ChIP. X-ChIP involves in vivo cross-linking of histones and regulatory proteins to DNA, fragmenting the DNA by sonication, and isolating the protein-DNA...
12.1K
Cooperative Binding of Transcription Regulators02:13

Cooperative Binding of Transcription Regulators

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2.4K
Cooperative Binding of Transcription Regulators02:13

Cooperative Binding of Transcription Regulators

7.1K
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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相关实验视频

Updated: Jan 13, 2026

Author Spotlight: An Integrated Workflow to Study the Promoter-Centric Spatio-Temporal Genome Architecture in Scarce Cell Populations
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STAN是一个计算框架,用于推断空间信息转录因子活动的推断.

Linan Zhang1, April Sagan2, Bin Qin3

  • 1Department of Applied Mathematics, School of Mathematics and Statistics, Ningbo University, Ningbo, Zhejiang 315211, China.

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概括

我们开发了STAN,这是一种计算方法,可以使用空间转录学绘制组织内转录因子 (TF) 活动的地图. 这揭示了TF网络如何在各种疾病和生物环境中影响细胞身份和空间组织.

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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:

  • 计算生物学 计算生物学
  • 基因组学就是基因组学.
  • 系统生物学 系统生物学

背景情况:

  • 转录因子 (TFs) 调节细胞反应,并受到微环境的影响.
  • 空间转录学 (ST) 提供了对组织微环境的洞察力,但尚未充分利用以推断TF活动.
  • 了解TF在细胞身份和空间组织中的作用至关重要.

研究的目的:

  • 开发一种计算方法,从ST数据中推断出空间解析的TF活动.
  • 研究TF活动,细胞身份和组织架构之间的关系.
  • 增强用于生物发现的ST数据的分析能力.

主要方法:

  • 引入了STAN (空间信息转录因子活动网络),一种线性混合效应模型.
  • 集成的TF目标基因先验,mRNA表达,空间坐标和组织学特征.
  • 将STAN应用于各种ST数据集 (淋巴结,大脑,乳腺癌,质母细胞瘤).

主要成果:

  • STAN成功地预测了现货特定的TF活动.
  • 确定了与不同细胞类型,空间区域和病理区域相关的TF.
  • 揭示了TF参与组织微环境中的配体受体相互作用.

结论:

  • STAN有效地从ST数据中推断出TF活动,提供空间上下文.
  • 这种方法增强了ST的实用性,以了解TF在细胞功能和组织组织中的作用.
  • 突出了TF网络和空间生物学在各种生物系统之间的复杂相互作用.