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

Cancers Originate from Somatic Mutations in a Single Cell02:21

Cancers Originate from Somatic Mutations in a Single Cell

11.9K
Cancer arises from mutations in the critical genes that allow healthy cells to escape cell cycle regulation and acquire the ability to proliferate indefinitely. Though originating from a single mutation event in one of the originator cells, cancer progresses when the mutant cell lines continue to gain more and more mutations, and finally, become malignant. For example, chronic myelogenous leukemia (CML) develops initially as a non-lethal increase in white blood cells, which progressively...
11.9K
Karyotyping01:17

Karyotyping

59.9K
Overview
59.9K
Cancer-Critical Genes II: Tumor Suppressor Genes01:05

Cancer-Critical Genes II: Tumor Suppressor Genes

7.4K
Genes usually encode proteins necessary for the proper functioning of a healthy cell. Mutations can often cause changes to the gene expression pattern, thereby altering the phenotype.
When the function of certain critical genes, especially those involved in cell cycle regulation and cell growth signaling cascades, gets disrupted, it upsets the cell cycle progression. Such cells with unchecked cell cycles start proliferating uncontrollably and eventually develop into tumors.
Such genes that act...
7.4K

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

Counterfactual AI for Dynamic Dose Optimization with Side-Effect Constraints.

IEEE journal of biomedical and health informatics·2026
Same author

Quantifying replication stress in cancer without proliferation confounding.

Cell stress·2025
Same author

Novel definition of time range and risk factors of pregnant women with gestational diabetes mellitus detected early in pregnancy a cluster analysis using clinical data of the German GestDiab cohort.

Diabetology & metabolic syndrome·2025
Same author

Editorial: AI and inverse methods for building digital twins in neuroscience.

Frontiers in computational neuroscience·2025
Same author

An optimal antibiotic selection framework for Sepsis patients using Artificial Intelligence.

NPJ digital medicine·2024
Same author

Identification of antibody-resistant SARS-CoV-2 mutants via N4-Hydroxycytidine mutagenesis.

Antiviral research·2024

相关实验视频

Updated: Jun 23, 2025

Rapid Analysis of Chromosome Aberrations in Mouse B Lymphocytes by PNA-FISH
07:54

Rapid Analysis of Chromosome Aberrations in Mouse B Lymphocytes by PNA-FISH

Published on: August 19, 2014

17.1K

在不同类型的癌症中对数值和结构性染色体不稳定性进行分析.

Xiaoxiao Zhang1,2, Maik Kschischo3,4

  • 1Department of Mathematics and Technology, University of Applied Sciences Koblenz, Remagen, Germany.

Methods in molecular biology (Clifton, N.J.)
|June 24, 2024
PubMed
概括

本研究详细介绍了一项分析癌症全染色体不稳定性 (W-CIN) 和结构性染色体不稳定性 (S-CIN) 的协议. 它使用大规模测序和计算模型来了解各种癌症类型中的这些染色体变化.

关键词:
癌症基因组学 癌症基因组学副本编号的更改 副本编号的更改综合性分析是一种综合性分析.结构性染色体不稳定性整个染色体的不稳定性整个基因组的翻一番.

更多相关视频

An Integrated Platform for Genome-wide Mapping of Chromatin States Using High-throughput ChIP-sequencing in Tumor Tissues
10:41

An Integrated Platform for Genome-wide Mapping of Chromatin States Using High-throughput ChIP-sequencing in Tumor Tissues

Published on: April 5, 2018

10.4K
Chromosome Preparation From Cultured Cells
07:42

Chromosome Preparation From Cultured Cells

Published on: January 28, 2014

81.3K

相关实验视频

Last Updated: Jun 23, 2025

Rapid Analysis of Chromosome Aberrations in Mouse B Lymphocytes by PNA-FISH
07:54

Rapid Analysis of Chromosome Aberrations in Mouse B Lymphocytes by PNA-FISH

Published on: August 19, 2014

17.1K
An Integrated Platform for Genome-wide Mapping of Chromatin States Using High-throughput ChIP-sequencing in Tumor Tissues
10:41

An Integrated Platform for Genome-wide Mapping of Chromatin States Using High-throughput ChIP-sequencing in Tumor Tissues

Published on: April 5, 2018

10.4K
Chromosome Preparation From Cultured Cells
07:42

Chromosome Preparation From Cultured Cells

Published on: January 28, 2014

81.3K

科学领域:

  • 在瘤学瘤学.
  • 遗传学 是一个遗传学.
  • 生物信息学是一种生物信息学.

背景情况:

  • 许多癌症表现出全染色体不稳定性 (W-CIN) 和结构性染色体不稳定性 (S-CIN).
  • 这些不稳定性涉及增加的数值和结构性染色体异常.
  • 了解W-CIN和S-CIN对于癌症研究至关重要.

研究的目的:

  • 为分析W-CIN和S-CIN提供详细的协议.
  • 为了研究各种癌症类型的染色体不稳定性.
  • 提高对W-CIN和S-CIN的机制和影响的理解.

主要方法:

  • 使用大规模的批量测序数据.
  • 使用单核酸多态化 (SNP) 数组数据.
  • 整合用于数据分析的计算模型.

主要成果:

  • 为分析W-CIN和S-CIN建立了一个全面的协议.
  • 该协议有助于在各种癌症中检查染色体不稳定性.
  • 这种方法可以更深入地了解W-CIN和S-CIN模式.

结论:

  • 开发的协议有效地使用集成数据类型分析W-CIN和S-CIN.
  • 这种方法有助于进一步了解瘤学中的染色体不稳定性.
  • 这些发现支持在癌症基因组学中使用大规模数据和计算方法.