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What is Gene Expression?

What is Gene Expression?

Overview
Gene expression is the process in which DNA directs the synthesis of functional products, that is, proteins. Cells can regulate gene expression at various stages. It allows organisms to generate different cell types and enables cells to adapt to internal and external factors.
Genetic Information Flows from DNA to RNA to Protein
A gene is a stretch of DNA that serves as the blueprint for functional RNAs and proteins. Since DNA is made up of nucleotides and proteins consist of amino...

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Updated: Sep 17, 2025

Inherent Dynamics Visualizer, an Interactive Application for Evaluating and Visualizing Outputs from a Gene Regulatory Network Inference Pipeline

Inherent Dynamics Visualizer, an Interactive Application for Evaluating and Visualizing Outputs from a Gene Regulatory Network Inference Pipeline

Published on: December 7, 2021

时间基因地带:通过动态基因表达可视化来推进精密医学.

Ehsan Saghapour^1,2, Rahul Sharma¹, Delower Hossain^2,3

¹Department of Biomedical Informatics and Data Science, The University of Alabama at Birmingham, Birmingham, AL, United States.

Frontiers in bioinformatics

|July 3, 2025

概括

此摘要是机器生成的。

时间基因地形可视化了基因表达的动态随着时间的推移,改进了传统的方法,如热图. 这种先进的技术增强了对药物治疗复杂生物反应的理解.

关键词:

生物信息学是一种生物信息学.癌症细胞系是癌症细胞系中的一个.数据可视化数据可视化药物查对药物进行查.基因表达的基因表达方式精准医学是一门精准医学.

更多相关视频

Temporal Ordering of Dynamic Expression Data from Detailed Spatial Expression Maps

Temporal Ordering of Dynamic Expression Data from Detailed Spatial Expression Maps

Published on: February 9, 2017

Spatial Profiling of Protein and RNA Expression in Tissue: An Approach to Fine-Tune Virtual Microdissection

Spatial Profiling of Protein and RNA Expression in Tissue: An Approach to Fine-Tune Virtual Microdissection

Published on: July 6, 2022

相关实验视频

Last Updated: Sep 17, 2025

Inherent Dynamics Visualizer, an Interactive Application for Evaluating and Visualizing Outputs from a Gene Regulatory Network Inference Pipeline

Inherent Dynamics Visualizer, an Interactive Application for Evaluating and Visualizing Outputs from a Gene Regulatory Network Inference Pipeline

Published on: December 7, 2021

Temporal Ordering of Dynamic Expression Data from Detailed Spatial Expression Maps

Temporal Ordering of Dynamic Expression Data from Detailed Spatial Expression Maps

Published on: February 9, 2017

Spatial Profiling of Protein and RNA Expression in Tissue: An Approach to Fine-Tune Virtual Microdissection

Spatial Profiling of Protein and RNA Expression in Tissue: An Approach to Fine-Tune Virtual Microdissection

Published on: July 6, 2022

科学领域:

基因组学就是基因组学.
系统生物学系统生物学
生物信息学是一种生物信息学.

背景情况:

时间基因表达动态对于理解生物反应至关重要,特别是在药物治疗期间.
传统的可视化方法 (热图,静态集群) 难以捕捉大型数据集中的复杂时间变化.
现有的技术往往会掩盖细粒度的时间过渡,降低清晰度和可解释性.

研究的目的:

介绍Temporal GeneTerrain,一种用于动态基因表达分析的新型可视化方法.
解决当前方法在表示时间基因表达模式方面的局限性.
随着时间的推移,增强多维转录基因数据的解释性.

主要方法:

应用时基因地铁来分析用梅花,他莫西芬和维他费林A治疗的LNCaP细胞的转录组数据.
利用Z-score正常化和选择的高度可变基因,然后通过皮尔森相关性来识别共同表达的基因 (r ≥0.5).
使用卡马达-卡瓦伊嵌入构建了一个2D蛋白质-蛋白质相互作用网络,并将基因表达映射为高斯密度场.

主要成果:

在联合药物治疗下,临时基因测试揭示了复杂的时间转移和延迟的途径反应 (例如,NGF刺激的转录,展开的蛋白质反应).
与传统的热图可视化相比,该方法显著提高了分辨率和可解释性.
有效地捕获了基因表达模式的多维和短暂性质.

结论:

时间基因地形 (Temporal GeneTerrain) 提供了一种直观而详细的基因表达动态随着时间的推移.
这种方法独特地捕捉了基因表达的短暂性质,优于热图和静态聚类.
提高复杂的生物数据集的解释性,支持研究和治疗开发.