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

DNA Microarrays02:34

DNA Microarrays

17.3K
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...
17.3K

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

Building an Interoperable Rare Disease Multi-omic Resource: The GREGoR Data Model and Dataset.

bioRxiv : the preprint server for biology·2026
Same author

<i>Trans</i>-eQTLs reveal the architecture of human gene regulatory networks.

medRxiv : the preprint server for health sciences·2026
Same author

DAESC + : high-performance, integrated software for single-cell allele-specific expression data.

BMC bioinformatics·2026
Same author

Beyond the baseline: mapping the context-specific regulatory landscape of disease.

Trends in genetics : TIG·2026
Same author

Frailty phenotype reveals heterogeneity in aging and distinct taurine associations.

npj aging·2026
Same author

Epidemiology and Natural History of Preclinical and Clinical Obesity: Insights From a UK Cohort.

Obesity (Silver Spring, Md.)·2026
Same journal

Beyond housekeeping: snRNA diversity, regulation, and human disease.

Trends in genetics : TIG·2026
Same journal

Rethinking mitochondrial metabolism: Intraindividual variability meets population constraints.

Trends in genetics : TIG·2026
Same journal

A role for epigenetics in rapid adaptation.

Trends in genetics : TIG·2026
Same journal

The myth of asexual fungi.

Trends in genetics : TIG·2026
Same journal

Rethinking molecular evolution through protein language model embeddings.

Trends in genetics : TIG·2026
Same journal

Co-transcriptional splicing: Distinct phases, mutual benefits, and basis for nuclear architecture.

Trends in genetics : TIG·2026
查看所有相关文章

相关实验视频

Updated: Jun 17, 2025

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

6.7K

在单个细胞中对等基因特异性表达的计算方法.

Guanghao Qi1, Alexis Battle2

  • 1Department of Biostatistics, University of Washington, Seattle, WA 98195, USA.

Trends in genetics : TIG
|August 10, 2024
PubMed
概括
此摘要是机器生成的。

本综述涵盖了使用单细胞RNA测序 (scRNA-seq) 分析等位基特异性表达 (ASE) 的计算方法. 它详细介绍了管道和统计方法,用于检测单个细胞中的等位体失衡.

更多相关视频

An Allele-specific Gene Expression Assay to Test the Functional Basis of Genetic Associations
10:17

An Allele-specific Gene Expression Assay to Test the Functional Basis of Genetic Associations

Published on: November 3, 2010

22.9K
Single Cell Analysis Of Transcriptionally Active Alleles By Single Molecule FISH
06:26

Single Cell Analysis Of Transcriptionally Active Alleles By Single Molecule FISH

Published on: September 20, 2020

3.1K

相关实验视频

Last Updated: Jun 17, 2025

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

6.7K
An Allele-specific Gene Expression Assay to Test the Functional Basis of Genetic Associations
10:17

An Allele-specific Gene Expression Assay to Test the Functional Basis of Genetic Associations

Published on: November 3, 2010

22.9K
Single Cell Analysis Of Transcriptionally Active Alleles By Single Molecule FISH
06:26

Single Cell Analysis Of Transcriptionally Active Alleles By Single Molecule FISH

Published on: September 20, 2020

3.1K

科学领域:

  • 基因组学就是基因组学.
  • 计算生物学 计算生物学
  • 分子生物学分子生物学

背景情况:

  • 基因特异性表达 (ASE) 提供了对基因调节,印记和 cis 调节效应的见解.
  • 单细胞RNA测序 (scRNA-seq) 允许在单个细胞水平上进行ASE分析,提供前所未有的分辨率.
  • 从scRNA-seq数据分析ASE的现有方法需要全面审查和优化.

研究的目的:

  • 审查和突出处理和分析单细胞ASE数据的计算方法.
  • 讨论检测等位基失衡及其在scRNA-seq数据集中的可变性的统计方法.
  • 概述使用单细胞ASE解决特定生物学问题的方法,并建议未来的研究方向.

主要方法:

  • 生物信息学管道的描述,用于从原始测序读数生成ASE计数.
  • 讨论用于识别等位基失衡及其在不同条件下的变异的统计方法.
  • 对利用单细胞ASE进行有针对性的生物研究的专业方法的概述.

主要成果:

  • 该综述综合了单细胞ASE分析的当前计算和统计方法.
  • 它确定了现有管道和统计模型的关键挑战和改进领域.
  • 它强调了单细胞ASE在剖析复杂分子机制中的实用性.

结论:

  • 需要为单细胞ASE数据提供集成和优化的生物信息管道.
  • 进一步开发统计方法至关重要,以适应各种scRNA-seq技术.
  • 单细胞ASE分析具有很大的潜力,可以促进我们对基因调节和细胞异质性的理解.