Jove
Visualize
联系我们
JoVE
x logofacebook logolinkedin logoyoutube logo
关于 JoVE
概览领导团队博客JoVE 帮助中心
作者
出版流程编辑委员会范围与政策同行评审常见问题投稿
图书馆员
用户评价订阅访问资源图书馆顾问委员会常见问题
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experiments存档
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教师资源中心教师网站
使用条款与条件
隐私政策
政策

相关概念视频

Combinatorial Gene Control02:33

Combinatorial Gene Control

8.2K
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...
8.2K
General Transcription Factors01:30

General Transcription Factors

5.1K
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...
5.1K
Transcription Factors02:16

Transcription Factors

75.4K
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...
75.4K
Methods of Nuclear Reprogramming01:24

Methods of Nuclear Reprogramming

1.8K
Nuclear reprogramming is a process of transforming one cell type into an unrelated cell type by epigenetic changes that alter the cell’s original gene expression pattern. Such epigenetic changes force cells to express a different set of genes, which play a significant role in inducing transformation into other cell types. Nuclear reprogramming offers applications in reproductive cloning for livestock propagation and regenerative medicine — developing patient-specific cells for...
1.8K
Somatic to iPS Cell Reprogramming01:29

Somatic to iPS Cell Reprogramming

2.2K
Reprogramming alters the gene expression in somatic cells, transforming them into induced pluripotent stem (iPS) cells over several generations. Scientists can reprogram cells by introducing genes for four transcription factors—Oct4, Sox2, Klf4, and c-Myc (OSKM) by viral or non-viral methods. These factors are also known as Yamanaka factors after Shinya Yamanaka, who first generated iPS cells using mouse skin cells. Yamanaka was awarded the Nobel Prize in Physiology or Medicine in 2012...
2.2K
Overview of Transposition and Recombination02:13

Overview of Transposition and Recombination

15.1K
Transposons make up a significant part of genomes of various organisms. Therefore, it is believed that transposition played a major evolutionary role in speciation by changing genome sizes and modifying gene expression patterns. For example, in bacteria, transposition can lead to conferring antibiotic resistance. Movement of transposable elements within the genetic pool of pathogenic bacteria can aid in transfer of antibiotic-resistant genetic elements. In eukaryotes, transposons can carry out...
15.1K

您也可能阅读

相关文章

通过共同作者、期刊和引用图与本文相关的文章。

排序
Same author

Benchmarking AI scientists for omics data-driven biological discovery.

Bioinformatics (Oxford, England)·2026
Same author

Deciphering key factors of active learning performance in biomolecular design.

Bioinformatics (Oxford, England)·2026
Same author

A Molecular Engineering Strategy to Fine-Tune Phototoxicity of AIE Probes for Super-Resolution Imaging of Mitochondrial Cristae Dynamics.

Advanced science (Weinheim, Baden-Wurttemberg, Germany)·2026
Same author

GeoPep: A Geometry-Aware Masked Language Model for Protein-Peptide Binding Site Prediction.

Journal of chemical information and modeling·2026
Same author

Enhancing bipolar ion storage in azulene-based conjugated microporous polymer cathodes <i>via</i> donor-acceptor dipole homogenization.

Chemical communications (Cambridge, England)·2026
Same author

Protein Engineering to Change the Sugar Donor and Improve the Activity of PnUGT94Q39 for Efficient Ginsenoside Rf Biosynthesis.

Journal of agricultural and food chemistry·2026

相关实验视频

Updated: May 15, 2025

Assessing Cardiomyocyte Subtypes Following Transcription Factor-mediated Reprogramming of Mouse Embryonic Fibroblasts
09:29

Assessing Cardiomyocyte Subtypes Following Transcription Factor-mediated Reprogramming of Mouse Embryonic Fibroblasts

Published on: March 22, 2017

7.4K

基于单细胞多组学数据,TFcomb识别了用于细胞重编程的转录因子组合.

Chen Li1, Sijie Chen1, Yixin Chen1

  • 1MOE Key Laboratory of Bioinformatics and Bioinformatics Division of BNRIST, Department of Automation, Tsinghua University, Beijing 100084, China.

Genome research
|April 10, 2025
PubMed
概括

本研究介绍了TFcomb,这是一种新的计算方法,用于识别关键转录因子 (TF) 和它们的组合,用于细胞重编程. TFcomb有效地从单细胞数据中确定关键的TF和TF组合,推进细胞工程和再生医学.

更多相关视频

A Combinatorial Single-cell Approach to Characterize the Molecular and Immunophenotypic Heterogeneity of Human Stem and Progenitor Populations
09:34

A Combinatorial Single-cell Approach to Characterize the Molecular and Immunophenotypic Heterogeneity of Human Stem and Progenitor Populations

Published on: October 25, 2018

6.6K
Real-time Analysis of Transcription Factor Binding, Transcription, Translation, and Turnover to Display Global Events During Cellular Activation
12:54

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

Published on: March 7, 2018

13.4K

相关实验视频

Last Updated: May 15, 2025

Assessing Cardiomyocyte Subtypes Following Transcription Factor-mediated Reprogramming of Mouse Embryonic Fibroblasts
09:29

Assessing Cardiomyocyte Subtypes Following Transcription Factor-mediated Reprogramming of Mouse Embryonic Fibroblasts

Published on: March 22, 2017

7.4K
A Combinatorial Single-cell Approach to Characterize the Molecular and Immunophenotypic Heterogeneity of Human Stem and Progenitor Populations
09:34

A Combinatorial Single-cell Approach to Characterize the Molecular and Immunophenotypic Heterogeneity of Human Stem and Progenitor Populations

Published on: October 25, 2018

6.6K
Real-time Analysis of Transcription Factor Binding, Transcription, Translation, and Turnover to Display Global Events During Cellular Activation
12:54

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

Published on: March 7, 2018

13.4K

科学领域:

  • 计算生物学是一种计算生物学.
  • 基因组学就是基因组学.
  • 细胞重新编程的细胞重编程.

背景情况:

  • 细胞状态转换对于细胞工程和再生疗法至关重要.
  • 识别重编程转录因子 (TF) 和它们的组合是必不可少的,但具有挑战性.
  • 现有的计算方法往往无法识别有效的TF组合或准确排名单个TF.

研究的目的:

  • 开发一种新的计算方法,TFcomb,用于识别重编程TF和TF组合.
  • 为了利用单细胞多组数据,提高TF识别的准确性.
  • 解决当前方法在识别TF组合和排名单个TF的局限性.

主要方法:

  • TFcomb模型将TF识别作为一个反向问题,使用提霍诺夫规范化.
  • 一个图表注意力网络通过单细胞RNA-seq和ATAC-seq数据来增强基因调控网络.
  • 该方法通过对人类胚胎干细胞数据和各种重编程案例进行基准测试来验证.

主要成果:

  • 与现有方法相比,TFcomb在识别个别TF方面表现优越.
  • 该方法有效地从广泛的可能性中识别重编程TF组合.
  • TFcomb成功地确定了小鼠毛囊发育中的关键TF,展示了其适用性.

结论:

  • TFcomb是一个强大的工具,用于识别使用单细胞数据重新编程TF和TF组合.
  • 该方法增强了细胞工程和再生疗法的潜力.
  • 对于TF发现的当前计算方法,TFcomb提供了显著的进步.