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

Cell Specific Gene Expression01:58

Cell Specific Gene Expression

16.3K
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...
16.3K
Cell Specific Gene Expression01:58

Cell Specific Gene Expression

5.4K
5.4K
Ribosome Profiling02:24

Ribosome Profiling

4.1K
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...
4.1K
DNA Microarrays02:34

DNA Microarrays

20.7K
Microarrays are high-throughput and relatively inexpensive assays that can be automated to analyze large quantities of data at a time. They are used in genome-wide studies to compare gene or protein expression under two varied conditions, such as healthy and diseased states. Microarrays consist of glass or silica slides on which probe molecules are covalently attached through surface functionalization. Most commonly, the slides are prepared through the chemisorption of silanes to silica...
20.7K
RNA-seq03:21

RNA-seq

11.8K
RNA sequencing, or RNA-Seq, is a high-throughput sequencing technology used to study the transcriptome of a cell. Transcriptomics helps to interpret the functional elements of a genome and identify the molecular constituents of an organism. Additionally, it also helps in understanding the development of an organism and the occurrence of diseases. 
Before the discovery of RNA-seq, microarray-based methods and Sanger sequencing were used for transcriptome analysis. However, while...
11.8K
Regulation of Expression at Multiple Steps01:23

Regulation of Expression at Multiple Steps

1.3K
The gene expression in cells is regulated at different stages: (i) transcription, (ii) RNA processing, (iii) RNA localization, and (iv) translation. Transcriptional regulation is mediated by regulatory proteins such as transcription factors, activators, or repressors—these control gene expression by initiating or inhibiting the transcription of genes. Once a precursor or pre-mRNA is produced, it undergoes post-transcriptional modification, including 5' capping, splicing, and the...
1.3K

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

A deep learning-based prognostic model for diffuse large B-cell lymphoma incorporating PET/CT imaging features.

Frontiers in oncology·2026
Same author

Surface modification strategies of oral liposomes: functional design and barrier enhancement.

Frontiers in pharmacology·2026
Same author

Long-Read Sequencing in CKD Diagnostics: Breaking Genomic Barriers and Expanding Global Inclusion.

Kidney international reports·2026
Same author

The risk of distant organ metastasis and survival analysis in esophageal cancer with different histological subtypes.

Esophagus : official journal of the Japan Esophageal Society·2026
Same author

Injectable Binary-Amplified Cascade Hydrogels Suppress Post-Incomplete Microwave Ablation Relapse via Integrated Metallo-Metabolic-Immunomodulation.

ACS nano·2026
Same author

ICON: An isoform-aware hierarchical random forest model for cell type classification.

bioRxiv : the preprint server for biology·2026
Same journal

UK Biobank whole-genome sequencing reveals robust contributions of rare variants to complex-trait heritability.

Genome biology·2026
Same journal

A one-week automated genome-wide optical pooled screen using OttoSeq.

Genome biology·2026
Same journal

Integrated lipidomic and transcriptomic profiling of the host response in human malaria.

Genome biology·2026
Same journal

Centromeric satellite expansion drives genome evolution in the snowy owl.

Genome biology·2026
Same journal

Mapping the landscape of allele-specific expression in porcine genomes.

Genome biology·2026
Same journal

Genomic sequence evolution underlying human neocortical interareal diversification.

Genome biology·2026
查看所有相关文章

相关实验视频

Updated: Jan 17, 2026

A Combinatorial Single-cell Approach to Characterize the Molecular and Immunophenotypic Heterogeneity of Human Stem and Progenitor Populations
09:34

A Combinatorial Single-cell Approach to Characterize the Molecular and Immunophenotypic Heterogeneity of Human Stem and Progenitor Populations

Published on: October 25, 2018

7.1K

ScIsoX:一种多维框架,用于测量单细胞中异形水平的转录组复杂性.

Siyuan Wu1,2,3, Ulf Schmitz4,5,6

  • 1Computational Biomedicine Lab, College of Science and Engineering, James Cook University, Townsville, QLD, Australia.

Genome biology
|September 22, 2025
PubMed
概括
此摘要是机器生成的。

ScIsoX是一种用于单细胞异形分析的新计算框架. 它揭示了基因水平方法错过的复杂的转录组模式,推进了单细胞转录组学.

关键词:
另一个替代拼接.异形分析的分析方法异形解析的转录组学.单细胞异形序列测序的单细胞异形序列测序

更多相关视频

An Approach to Study Shape-Dependent Transcriptomics at a Single Cell Level
06:02

An Approach to Study Shape-Dependent Transcriptomics at a Single Cell Level

Published on: November 2, 2020

6.2K
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

19.0K

相关实验视频

Last Updated: Jan 17, 2026

A Combinatorial Single-cell Approach to Characterize the Molecular and Immunophenotypic Heterogeneity of Human Stem and Progenitor Populations
09:34

A Combinatorial Single-cell Approach to Characterize the Molecular and Immunophenotypic Heterogeneity of Human Stem and Progenitor Populations

Published on: October 25, 2018

7.1K
An Approach to Study Shape-Dependent Transcriptomics at a Single Cell Level
06:02

An Approach to Study Shape-Dependent Transcriptomics at a Single Cell Level

Published on: November 2, 2020

6.2K
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

19.0K

科学领域:

  • 计算生物学是一种计算生物学.
  • 基因组学就是基因组学.
  • 分子生物学分子生物学

背景情况:

  • 单细胞分析提供了高分辨率的转录表达洞察力.
  • 现有的分析框架缺乏对转录组复杂性的系统测量.

研究的目的:

  • 介绍 ScIsoX,一个用于系统单细胞异型分析的计算框架.
  • 允许对转录组复杂性的全面表征.

主要方法:

  • 开发了具有新层次数据结构的 ScIsoX.
  • 集成复杂度指标和可视化工具用于异形级别分析.
  • 将SciIsoX应用于多种单细胞异形测序数据集.

主要成果:

  • ScIsoX促进了全球和细胞类型特定的异构体表达的探索.
  • 识别了基因层次方法遗漏的多维复杂性特征.
  • 在多个现实世界数据集中展示了ScIsoX实用程序.

结论:

  • ScIsoX为单细胞转录组复杂性分析提供了一个强大的框架.
  • 增强对替代拼接和异形动态的理解.
  • 为推进单细胞基因组学研究提供了有价值的工具.