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

Chromatin Position Affects Gene Expression02:35

Chromatin Position Affects Gene Expression

24.8K
Chromatin is the massive complex of DNA and proteins packaged inside the nucleus. The complexity of chromatin folding and how it is packaged inside the nucleus greatly influences  access to genetic information. Generally, the nucleus' periphery is considered transcriptionally repressive, while the cell's interior is considered a transcriptionally active area. 
Topologically Associated Domains (TADs)
The 3-dimensional positioning of chromatin in the nucleus influences the...
24.8K
What is Gene Expression?01:42

What is Gene Expression?

196.4K
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...
196.4K
What is Gene Expression?01:36

What is Gene Expression?

11.3K
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...
11.3K
Quantum Numbers02:43

Quantum Numbers

49.8K
It is said that the energy of an electron in an atom is quantized; that is, it can be equal only to certain specific values and can jump from one energy level to another but not transition smoothly or stay between these levels.
49.8K
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
mRNA Stability and Gene Expression02:51

mRNA Stability and Gene Expression

6.6K
The structure and stability of mRNA molecules regulates gene expression, as mRNAs are a key step in the pathway from gene to protein. In eukaryotes, the half-life of mRNA varies from a few minutes up to several days. mRNA stability is essential in growth and development. The absence of the proteins regulating its stability, such as tristetraprolin in mice, can cause systemic issues, including bone marrow overgrowth, inflammation, and autoimmunity.
Cis-acting Elements involved in mRNA stability
6.6K

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

Cancer-Directed Therapy in the Last Month of Life and Its Association With ICU Utilisation in a Tertiary Care Centre in India.

Cancer medicine·2026
Same author

Transcription factor 19 modulates fatty acid elongation and unfolded protein response to attenuate palmitic acid-induced hepatic dysfunction.

Nature communications·2026
Same author

A multicentre survey of liver fibrosis burden in type 2 diabetes in India: the DiaFib-Liver Study.

The Lancet regional health. Southeast Asia·2026
Same author

Efficient Quantum Algorithm for Post Quantum Cryptography.

Journal of visualized experiments : JoVE·2025
Same author

Classification of coding and non-coding regions in eukaryotic gene sequences using an adaptive anti-notch filter designed using hybrid Salp SwarmWhale algorithm incorporating a modified error function.

Computational biology and chemistry·2025
Same author

Protocol for 3D tumor spheroid generation, immunostaining, and imaging through comparative approaches.

STAR protocols·2025
Same journal

A Video Protocol of a Randomized Controlled Clinical Trial - Electrochemotherapy of Cutaneous Metastases with Reduced Dose Bleomycin (BLESS Trial).

Journal of visualized experiments : JoVE·2026
Same journal

A Standardized Ex Vivo Porcine Oromucosal Model for Evaluating Peptide Fluxes.

Journal of visualized experiments : JoVE·2026
Same journal

Lightweight English Text Classification with Deep Learning Based on Complex System Theory.

Journal of visualized experiments : JoVE·2026
Same journal

Integrating Artificial Intelligence-Assisted Translation Support into English Courses: Effects on Translation Accuracy, Perceived Stress, and Anxiety.

Journal of visualized experiments : JoVE·2026
Same journal

A Toxin-Based Counter-Selection System for Markerless Gene Deletion and High-Density Tn5 Transposon Mutagenesis in Pectobacterium brasiliense.

Journal of visualized experiments : JoVE·2026
Same journal

Seamless Multimodal Human-Robot Communication: Integration Techniques in Human-Computer Interaction.

Journal of visualized experiments : JoVE·2026
查看所有相关文章

相关实验视频

Updated: Jan 28, 2026

A Bioinformatics Pipeline for Investigating Molecular Evolution and Gene Expression using RNA-seq
07:09

A Bioinformatics Pipeline for Investigating Molecular Evolution and Gene Expression using RNA-seq

Published on: May 28, 2021

10.4K

生物信息学方法用于癌症预测,使用量子聚类算法用于基因表达的行为相似性.

Shanu Das1, Pritam Bhattacharjee2, Kunal Das3

  • 1Naba Barrackpore Prafulla Chandra Mahavidyalaya.

Journal of visualized experiments : JoVE
|January 26, 2026
PubMed
概括
此摘要是机器生成的。

一个新的混合量子K-Means集群算法自动检测癌症分类基因表达数据中的集群. 这种量子方法比现有方法提高了准确性和实际可行性.

更多相关视频

Characterization of Functionally Associated miRNAs in Glioblastoma and their Engineering into Artificial Clusters for Gene Therapy
09:40

Characterization of Functionally Associated miRNAs in Glioblastoma and their Engineering into Artificial Clusters for Gene Therapy

Published on: October 4, 2019

6.0K
Integration of Bioinformatics Approaches and Experimental Validations to Understand the Role of Notch Signaling in Ovarian Cancer
09:08

Integration of Bioinformatics Approaches and Experimental Validations to Understand the Role of Notch Signaling in Ovarian Cancer

Published on: January 12, 2020

7.2K

相关实验视频

Last Updated: Jan 28, 2026

A Bioinformatics Pipeline for Investigating Molecular Evolution and Gene Expression using RNA-seq
07:09

A Bioinformatics Pipeline for Investigating Molecular Evolution and Gene Expression using RNA-seq

Published on: May 28, 2021

10.4K
Characterization of Functionally Associated miRNAs in Glioblastoma and their Engineering into Artificial Clusters for Gene Therapy
09:40

Characterization of Functionally Associated miRNAs in Glioblastoma and their Engineering into Artificial Clusters for Gene Therapy

Published on: October 4, 2019

6.0K
Integration of Bioinformatics Approaches and Experimental Validations to Understand the Role of Notch Signaling in Ovarian Cancer
09:08

Integration of Bioinformatics Approaches and Experimental Validations to Understand the Role of Notch Signaling in Ovarian Cancer

Published on: January 12, 2020

7.2K

科学领域:

  • 生物信息学是一种生物信息学.
  • 量子计算是一种量子计算.
  • 计算生物学 计算生物学

背景情况:

  • 对基因表达数据的准确分类对于癌症诊断至关重要.
  • 现有的集群算法面临着高维和杂的生物数据的挑战.

研究的目的:

  • 引入一个带有自动集群检测的混合量子K-Means集群算法.
  • 提高癌症和非癌症基因表达数据的分类准确性.

主要方法:

  • 使用量子多特征映射进行状态编码和交换测试进行量子距离估计.
  • 采用基于量子梯度的优化,通过最小化集群内部变异来实现动态集群号识别.
  • 包含一个概率相称的距离策略,用于初始的中心点选择.

主要成果:

  • 与现有的量子K-Means相比,在乳腺癌数据集上实现了优异的集群性能.
  • 显示了改善的轮得分 (0.641比0.601),卡林斯基-哈拉巴斯指数 (766.57比617.65) 和戴维斯-博尔丁指数 (0.659比0.704).
  • 展示了增强的集群紧性,分离和准确性,尽管时间复杂性略高.

结论:

  • 混合量子K-Means集群算法为基因表达数据分类的准确性和可行性提供了显著的改进.
  • 该算法的应对量子噪声的弹性和高维数据的效率使其对生物信息学和癌症分类具有前景.
  • 自动集群检测和优化的中心点选择有助于其强大的性能.