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

What is Gene Expression?01:42

What is Gene Expression?

196.5K
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...
196.5K
What is Gene Expression?01:36

What is Gene Expression?

11.4K
A gene is a stretch of DNA that serves as the blueprint for functional RNAs and proteins. Since DNA is comprised  of nucleotides and proteins are comprised of amino acids, a mediator is required to convert the information encoded in DNA into proteins. This mediator is the messenger RNA (mRNA). mRNA copies the blueprint from DNA by a process called transcription. In eukaryotes, transcription occurs in the nucleus by complementary base-pairing with the DNA template. The mRNA is then...
11.4K
Cell Specific Gene Expression01:58

Cell Specific Gene Expression

16.5K
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...
16.5K
Cell Specific Gene Expression01:58

Cell Specific Gene Expression

5.6K
5.6K
Genome Size and the Evolution of New Genes03:21

Genome Size and the Evolution of New Genes

9.1K
While every living organism has a genome of some kind (be it RNA, or DNA), there is considerable variation in the sizes of these blueprints. One major factor that impacts genome size is whether the organism is prokaryotic or eukaryotic. In prokaryotes, the genome contains little to no non-coding sequence, such that genes are tightly clustered in groups or operons sequentially along the chromosome. Conversely, the genes in eukaryotes are punctuated by long stretches of non-coding sequence.
9.1K
Genome Size and the Evolution of New Genes03:21

Genome Size and the Evolution of New Genes

3.4K
3.4K

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

Beyond Coiling: A Comparative Analysis of Survey-Reported Preferences for Endovascular Cerebral Aneurysm Occlusion.

Clinics and practice·2026
Same author

Challenges and recommendations in establishing national human diversity genomic projects.

Nature methods·2026
Same author

Molecular Characterization of Soft Tissue Sarcomas Using RNA-Based Next-Generation Sequencing.

International journal of molecular sciences·2026
Same author

Mendelian randomization studies in atopic dermatitis: causal insights across omics layers.

Frontiers in immunology·2026
Same author

Gene-sized editing for the therapy of genetic diseases.

Functional & integrative genomics·2026
Same author

Dickkopf1 is a novel endogenous ligand for priming NLRP3 inflammasome in macrophages via TLR4.

Journal of immunology (Baltimore, Md. : 1950)·2026

相关实验视频

Updated: Jan 29, 2026

Using an Automated Cell Counter to Simplify Gene Expression Studies: siRNA Knockdown of IL-4 Dependent Gene Expression in Namalwa Cells
10:34

Using an Automated Cell Counter to Simplify Gene Expression Studies: siRNA Knockdown of IL-4 Dependent Gene Expression in Namalwa Cells

Published on: April 14, 2010

16.0K

在单细胞和多尺度基因组学和转录组学中基于人工智能的基因表达预测.

Ema Andreea Pălăștea1,2, Irina-Mihaela Matache2, Eugen Radu2,3

  • 1Genomics Research and Development Institute, Bucharest 030167, Romania.

International journal of molecular sciences
|January 28, 2026
PubMed
概括

基于人工智能和量子计算的Omics研究正在通过改进复杂的生物数据的分析来推进个性化医学,以便更准确的诊断和治疗.

关键词:
基于人工智能的预测预测.深度学习是一种深度学习.基因表达的基因表达方式机器学习是机器学习.量子计算是一种量子计算.单细胞的奥米克.空间转录学 空间转录学

更多相关视频

Transcriptome Analysis of Single Cells
07:27

Transcriptome Analysis of Single Cells

Published on: April 25, 2011

30.6K
Droplet Barcoding-Based Single Cell Transcriptomics of Adult Mammalian Tissues
10:12

Droplet Barcoding-Based Single Cell Transcriptomics of Adult Mammalian Tissues

Published on: January 10, 2019

19.1K

相关实验视频

Last Updated: Jan 29, 2026

Using an Automated Cell Counter to Simplify Gene Expression Studies: siRNA Knockdown of IL-4 Dependent Gene Expression in Namalwa Cells
10:34

Using an Automated Cell Counter to Simplify Gene Expression Studies: siRNA Knockdown of IL-4 Dependent Gene Expression in Namalwa Cells

Published on: April 14, 2010

16.0K
Transcriptome Analysis of Single Cells
07:27

Transcriptome Analysis of Single Cells

Published on: April 25, 2011

30.6K
Droplet Barcoding-Based Single Cell Transcriptomics of Adult Mammalian Tissues
10:12

Droplet Barcoding-Based Single Cell Transcriptomics of Adult Mammalian Tissues

Published on: January 10, 2019

19.1K

科学领域:

  • 基因组学和生物信息学
  • 计算生物学 计算生物学
  • 精准医学是一门精准的医学.

背景情况:

  • 奥米克研究产生了大量复杂的生物数据.
  • 现有的分析方法难以应对多omics数据集的规模和复杂性.
  • 个性化医疗需要先进的工具来解释这些数据.

研究的目的:

  • 探索包括人工智能和量子算法在内的先进计算工具如何增强多omics数据分析.
  • 改进基因表达特征的预测,以获得更好的诊断和治疗策略.
  • 为了促进临床决策的大规模omics数据的整合和查询.

主要方法:

  • 应用先进的机器学习模型,特别是深度学习 (DL) 网络,用于omics分析.
  • 探索量子计算和量子机器学习,用于复杂基因相互作用的预测建模.
  • 开发计算框架来处理大型,高维度的生物数据集.

主要成果:

  • 人工智能和量子算法显示出在提高效率和可靠性方面增强多omics分析的潜力.
  • 深度学习网络擅长识别模式和建模基因表达中的非线性关系.
  • 这些计算进步降低了错误率,并改善了对大型omics数据集的解释.

结论:

  • 高分辨率的奥米克数据与先进的计算工具的整合标志着临床决策的重大转变.
  • 人工智能和量子计算方面的创新对于实现个性化医学的全部潜力至关重要.
  • 更快,更精确的分析工作流使得数据驱动的诊断,预防和治疗方法成为可能.