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相关概念视频

Regulation of Expression at Multiple Steps01:23

Regulation of Expression at Multiple Steps

889
The gene expression in cells is regulated at different stages: (i) transcription, (ii) RNA processing, (iii) RNA localization, and (iv) translation. Transcriptional regulation is mediated by regulatory proteins such as transcription factors, activators, or repressors—these control gene expression by initiating or inhibiting the transcription of genes. Once a precursor or pre-mRNA is produced, it undergoes post-transcriptional modification, including 5' capping, splicing, and the...
889
Cell Specific Gene Expression01:58

Cell Specific Gene Expression

13.6K
Multicellular organisms contain a variety of structurally and functionally distinct cell types, but the DNA in all the cells originated from the same parent cells. The differences in the cells can be attributed to the differential gene expression. Liver cells, whose functions include detoxification of blood, production of bile to metabolize fats, and synthesis of proteins essential for metabolism, must express a specific set of genes to perform their functions. Gene expression also varies with...
13.6K
Regulation of Expression Occurs at Multiple Steps02:24

Regulation of Expression Occurs at Multiple Steps

22.6K
Gene expression can be regulated at almost every step from gene to protein. Transcription is the step that is most commonly regulated. This involves the binding of proteins to short regulatory sequences on the DNA. This association can either promote or inhibit the transcription of a gene associated with the respective sequence.
Transcription results in the generation of precursor (pre-mRNA) that consists of both exons and introns, which needs further processing before being translated to a...
22.6K
RNA-seq03:21

RNA-seq

9.9K
RNA sequencing, or RNA-Seq, is a high-throughput sequencing technology used to study the transcriptome of a cell. Transcriptomics helps to interpret the functional elements of a genome and identify the molecular constituents of an organism. Additionally, it also helps in understanding the development of an organism and the occurrence of diseases. 
Before the discovery of RNA-seq, microarray-based methods and Sanger sequencing were used for transcriptome analysis. However, while...
9.9K
mRNA Stability and Gene Expression02:51

mRNA Stability and Gene Expression

2.8K
2.8K
Ribosome Profiling02:24

Ribosome Profiling

3.5K
Ribosome profiling or ribo-sequencing is a deep sequencing technique that produces a snapshot of active translation in a cell. It selectively sequences the mRNAs protected by ribosomes to get an insight into a cell’s translation landscape at any given point in time.
Applications of ribosome profiling
Ribosome profiling has many applications, including in vivo monitoring of translation inside a particular organ or tissue type and quantifying new protein synthesis levels.
The technique...
3.5K

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相关实验视频

Updated: Jun 23, 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

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维斯-SPLIT:用于mRNA表达分类的交互层次建模.

Braden Roper1, James C Mathews2, Saad Nadeem2

  • 1University of Oklahoma.

IEEE Visualization Conference : VIS. IEEE Conference on Visualization
|June 17, 2024
PubMed
概括
此摘要是机器生成的。

Vis-SPLIT是一款新的视觉分析工具,可以使用基因签名来分类患者. 与现有系统相比,它可以更好地了解用于癌症研究的RNA测序数据.

关键词:
人为中心的计算是以人为中心的计算.视觉分析 视觉分析视觉化的可视化视觉化应用程序领域的可视化.

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Analyzing Multifactorial RNA-Seq Experiments with DiCoExpress
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A Combinatorial Single-cell Approach to Characterize the Molecular and Immunophenotypic Heterogeneity of Human Stem and Progenitor Populations
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A Combinatorial Single-cell Approach to Characterize the Molecular and Immunophenotypic Heterogeneity of Human Stem and Progenitor Populations

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相关实验视频

Last Updated: Jun 23, 2025

Author Spotlight: Impact of Intergenic Interactions on Disease-Identifying Dark Biomarkers
03:37

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

Published on: March 1, 2024

688
Analyzing Multifactorial RNA-Seq Experiments with DiCoExpress
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A Combinatorial Single-cell Approach to Characterize the Molecular and Immunophenotypic Heterogeneity of Human Stem and Progenitor Populations
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科学领域:

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

背景情况:

  • 准确的患者分类对于癌症研究和治疗至关重要.
  • 分析复杂的基因表达数据存在重大挑战.

研究的目的:

  • 介绍Vis-SPLIT,这是一个交互式的视觉分析工具,用于基于基因签名来分割个体.
  • 通过探索基因表达和相关性数据,使用户能够构建癌症分类模型.

主要方法:

  • 开发 Vis-SPLIT,一个交互式视觉分析框架.
  • 利用可视化组件来揭示基因表达和相关性模式.
  • 互动探索和利用视觉分离,用于建模.
  • 与领域专家一起进行案例研究演示和可用性评估.

主要成果:

  • 视SPLIT有效地根据患者的遗传特征对患者进行分类.
  • 该工具为RNA测序数据提供了有价值的见解.
  • 与现有的分类系统相比,表现出优越的性能.
  • 可用性评估证实了其有效性与领域专家.

结论:

  • Vis-SPLIT提供了一种有效的方法,用于使用基因签名进行患者分类.
  • 该工具增强了对癌症研究中RNA测序数据的理解.
  • 交互式可视化辅助在分区和分类的决策.