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相关概念视频

Chromatin Immunoprecipitation- ChIP02:36

Chromatin Immunoprecipitation- ChIP

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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...
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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...
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Transcription Factors02:16

Transcription Factors

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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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相关实验视频

Updated: Jul 4, 2025

Methyl-binding DNA capture Sequencing for Patient Tissues
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使用甲基化数据来改善转录因子结合预测.

Daniel Morgan1, Dawn L DeMeo1, Kimberly Glass1,2

  • 1Channing Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA.

Epigenetics
|February 1, 2024
PubMed
概括
此摘要是机器生成的。

这项研究引入了一种新的方法,通过将DNA甲基化数据与位置重量矩阵 (PWM) 集成来预测转录因子 (TF) 结合位点. 这种方法通过考虑表观遗传背景来提高准确性,这对于理解基因调节和疾病至关重要.

关键词:
通过DNA甲基化.转录因子结合预测预测.

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Immunostaining for DNA Modifications: Computational Analysis of Confocal Images
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相关实验视频

Last Updated: Jul 4, 2025

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Immunostaining for DNA Modifications: Computational Analysis of Confocal Images
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科学领域:

  • 表观遗传学 在表观遗传学中,表观遗传学是指表观遗传学.
  • 基因组学就是基因组学.
  • 计算生物学 计算生物学

背景情况:

  • 细胞命运和疾病建模需要理解基因调节,由表观基因组的可塑性复杂化.
  • 使用位置重量矩阵 (PWM) 预测转录因子 (TF) 结合点缺乏表观遗传背景.
  • CpG甲基化是一种环境影响的表观遗传标记,经常在人类队列中进行研究.

研究的目的:

  • 利用DNA甲基化数据开发一个用于评分TF结合位置的框架.
  • 通过结合表观遗传背景来提高TF约束预测的准确性.

主要方法:

  • 与全基因组二硫酸盐测序和Illumina EPIC阵列中的甲基化数据交叉的PWM识别的动机位置.
  • 根据甲基化数据得分动机位置,并将预测与ChIP-seq实验数据进行比较.
  • 使用近接甲基化信息验证框架的概括性.

主要成果:

  • 与大多数TF的标准PWM分数相比,以甲基化为基础的评分显著提高了TF约束预测的准确性.
  • 该框架成功地推断出TF结合,即使甲基化数据仅可用于附近的CpG.
  • 证明了整合甲基化数据的实用性,用于特定上下文的TF绑定推理.

结论:

  • 开发的框架提供了一种可靠的方法,通过利用DNA甲基化数据推断特定上下文的TF结合.
  • 这种方法可以应用于现有的人类患者数据,以调查DNA甲基化在基因调节和疾病中的作用.
  • 突出了利用甲基化数据的潜力,以提高我们对人类健康和疾病监管机制的理解.