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

Cancer-Critical Genes II: Tumor Suppressor Genes01:05

Cancer-Critical Genes II: Tumor Suppressor Genes

7.3K
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...
7.3K
Cancer-Critical Genes I: Proto-oncogenes01:33

Cancer-Critical Genes I: Proto-oncogenes

8.7K
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...
8.7K
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
Cancers Originate from Somatic Mutations in a Single Cell02:21

Cancers Originate from Somatic Mutations in a Single Cell

11.5K
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...
11.5K
MicroRNAs01:22

MicroRNAs

3.0K
MicroRNA (miRNA) are short, regulatory RNA transcribed from introns (non-coding regions of a gene) or intergenic regions (stretches of DNA present between genes). Several processing steps are required to form biologically active, mature miRNA. The initial transcript, called primary miRNA (pri-mRNA), base-pairs with itself, forming a stem-loop structure. Within the nucleus, an endonuclease enzyme, called Drosha, shortens the stem-loop structure into hairpin-shaped pre-miRNA. After the pre-miRNA...
3.0K
lncRNA - Long Non-coding RNAs02:39

lncRNA - Long Non-coding RNAs

8.5K
In humans, more than 80% of the genome gets transcribed. However, only around 2% of the genome codes for proteins. The remaining part produces non-coding RNAs which includes ribosomal RNAs, transfer RNAs, telomerase RNAs, and regulatory RNAs, among other types. A large number of regulatory non-coding RNAs have been classified into two groups depending upon their length – small non-coding RNAs, such as microRNA, which are less than 200 nucleotides in length, and long non-coding RNA...
8.5K

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

Modulation of spinal and cortical neuronal excitability by transcutaneous spinal direct current stimulation in restless legs syndrome.

Sleep medicine·2026
Same author

Microbe-derived aromatic polyketides toward MRSA infection: current advances and perspectives.

Natural product reports·2026
Same author

Combined effects of persistent organic pollutants and endocrine-disrupting chemicals on thyroid disease risk: A WQS-XGBoost analysis of US population data.

Ecotoxicology and environmental safety·2026
Same author

Hybrid BAG-seq: DNA and RNA from the same single nucleus reveals interactions between genomic and transcriptomic landscapes in human tumor samples.

Genome biology·2025
Same author

Transcranial magnetic stimulation over right intraparietal sulcus improves selective attention for feature discriminating.

Neuroscience letters·2025
Same author

Sequential Patterns and Transition Timelines of Chronic Disease Comorbidities in Obesity: Evidence from the ELSA database.

Research square·2025

相关实验视频

Updated: May 29, 2025

Analyzing Tumor Gene Expression Factors with the CorExplorer Web Portal
08:00

Analyzing Tumor Gene Expression Factors with the CorExplorer Web Portal

Published on: October 11, 2019

7.5K

探索癌症中的基因组-转录组相关性.

Michael Ronemus1, Daniel Bradford1, Zachary Laster1

  • 1Cold Spring Harbor Laboratory, Cold Spring Harbor, NY, U.S.A.

Biochemical Society transactions
|February 6, 2025
PubMed
概括
此摘要是机器生成的。

基因组拷贝数变异 (CNV) 显著影响基因表达,特别是在癌症中. 了解这些复杂的相互作用需要先进的多原子测序和计算分析,以便更好地进行癌症研究和治疗.

关键词:
副本数量的变化 副本数量的变化剂量补偿剂量补偿剂量补偿基因组-转录组关系关系基层突变 基层突变

更多相关视频

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

625
Mapping the Structure-Function Relationships of Disordered Oncogenic Transcription Factors Using Transcriptomic Analysis
09:58

Mapping the Structure-Function Relationships of Disordered Oncogenic Transcription Factors Using Transcriptomic Analysis

Published on: June 27, 2020

2.7K

相关实验视频

Last Updated: May 29, 2025

Analyzing Tumor Gene Expression Factors with the CorExplorer Web Portal
08:00

Analyzing Tumor Gene Expression Factors with the CorExplorer Web Portal

Published on: October 11, 2019

7.5K
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

625
Mapping the Structure-Function Relationships of Disordered Oncogenic Transcription Factors Using Transcriptomic Analysis
09:58

Mapping the Structure-Function Relationships of Disordered Oncogenic Transcription Factors Using Transcriptomic Analysis

Published on: June 27, 2020

2.7K

科学领域:

  • 基因组学就是基因组学.
  • 文字转录学 (Transcriptomics) 是一个学科.
  • 癌症生物学 癌症生物学

背景情况:

  • 基因组拷贝数变异 (CNV) 影响基因表达.
  • 了解这些相互作用对于癌症生物学至关重要.
  • 人类癌症呈现出一个复杂而异质的景观.

研究的目的:

  • 为了检查CNV和基因表达之间的复杂关系.
  • 为了突出CNV基因表达链接在癌症中的相关性.
  • 讨论研究这些相互作用的挑战和进展.

主要方法:

  • 历史基因转录组相关性研究的综述.
  • 讨论基因组分析的计算算法.
  • 探索高通量单细胞多原子测序技术.

主要成果:

  • CNV-基因表达关系复杂且难以阐明.
  • 单细胞多原子技术为更精细的理解提供了潜力.
  • 综合基因组和转录基因组分析提供了新的见解.

结论:

  • 推进癌症研究需要综合基因组和转录基因组分析.
  • 了解瘤进化和异质性是关键.
  • 改进的洞察力可以为治疗策略提供信息.