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

Position-effect Variegation02:32

Position-effect Variegation

6.6K
In 1928, a German botanist Emil Heitz observed the moss nuclei with a DNA binding dye. He observed that while some chromatin regions decondense and spread out in the interphase nucleus, others do not. He termed them euchromatin and heterochromatin, respectively. He proposed that the heterochromatin regions reflect a functionally inactive state of the genome. It was later confirmed that heterochromatin is transcriptionally repressed, and euchromatin is transcriptionally active chromatin.
6.6K
Regulation of Expression Occurs at Multiple Steps02:24

Regulation of Expression Occurs at Multiple Steps

3.3K
3.3K
Cis-regulatory Sequences02:02

Cis-regulatory Sequences

10.8K
Cis-regulatory sequences are short fragments of non-coding DNA that are present on the same chromosomes as the genes that they regulate. These fragments serve as binding sites for transcriptional regulators, proteins that are responsible for controlling gene transcription and differential gene expression across cell types in eukaryotes. Cis-regulatory sequences can be close to the gene of interest or thousands of bases away in the DNA sequence; however, those sequences that are further away are...
10.8K
Regulation of Expression at Multiple Steps01:23

Regulation of Expression at Multiple Steps

1.1K
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...
1.1K
What is Gene Expression?01:36

What is Gene Expression?

9.5K
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...
9.5K

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

Evolutionary transfer learning enables organism-wide inference of mammalian enhancer landscapes.

bioRxiv : the preprint server for biology·2026
Same author

CREsted: modeling genomic and synthetic cell-type-specific enhancers across tissues and species.

Nature methods·2026
Same author

Modeling <i>cis</i>-regulatory variation in human brain enhancers across a large Parkinson's Disease cohort.

bioRxiv : the preprint server for biology·2026
Same author

Cross-species cellular mapping and humanization of Fcγ receptors to advance antibody modeling.

Science immunology·2026
Same author

The evolution of gene regulation in mammalian cerebellum development.

Science (New York, N.Y.)·2026
Same author

Evaluating single-cell ATAC-seq atlasing technologies using sequence-to-function modeling.

Nature communications·2026
Same journal

Daily briefing: 'Cyborg' cockroaches breathe underwater with printed suit.

Nature·2026
Same journal

China boosts prestigious grants for young scientists - will it ease competition?

Nature·2026
Same journal

Incoming US science academy chief vows to 'double down' on research.

Nature·2026
Same journal

Author Correction: Synthesis of enantioenriched atropisomers by biocatalytic deracemization.

Nature·2026
Same journal

Electrodeposited self-assembled molecules for perovskite photovoltaics.

Nature·2026
Same journal

Neutrino's nursery found: the 'Shadow Blaster'.

Nature·2026
查看所有相关文章

相关实验视频

Updated: Oct 7, 2025

Enhanced Northern Blot Detection of Small RNA Species in Drosophila Melanogaster
09:39

Enhanced Northern Blot Detection of Small RNA Species in Drosophila Melanogaster

Published on: August 21, 2014

24.3K

解码大脑中的基因调节

Jasper Janssens1,2, Sara Aibar1,2, Ibrahim Ihsan Taskiran1,2

  • 1VIB Center for Brain & Disease Research, Leuven, Belgium.

Nature
|January 6, 2022
PubMed
概括
此摘要是机器生成的。

研究人员使用单细胞染色体可访问性和转录组数据绘制了Drosophila大脑中的基因调节网络. 这揭示了成千上万的调节区域在发育和成熟过程中驱动细胞类型特定的基因表达.

更多相关视频

Dissection and Immunofluorescent Staining of Mushroom Body and Photoreceptor Neurons in Adult Drosophila melanogaster Brains
10:13

Dissection and Immunofluorescent Staining of Mushroom Body and Photoreceptor Neurons in Adult Drosophila melanogaster Brains

Published on: November 6, 2017

19.8K
Purification of Transcripts and Metabolites from Drosophila Heads
12:49

Purification of Transcripts and Metabolites from Drosophila Heads

Published on: March 15, 2013

22.1K

相关实验视频

Last Updated: Oct 7, 2025

Enhanced Northern Blot Detection of Small RNA Species in Drosophila Melanogaster
09:39

Enhanced Northern Blot Detection of Small RNA Species in Drosophila Melanogaster

Published on: August 21, 2014

24.3K
Dissection and Immunofluorescent Staining of Mushroom Body and Photoreceptor Neurons in Adult Drosophila melanogaster Brains
10:13

Dissection and Immunofluorescent Staining of Mushroom Body and Photoreceptor Neurons in Adult Drosophila melanogaster Brains

Published on: November 6, 2017

19.8K
Purification of Transcripts and Metabolites from Drosophila Heads
12:49

Purification of Transcripts and Metabolites from Drosophila Heads

Published on: March 15, 2013

22.1K

科学领域:

  • 神经科学
  • 基因组学
  • 发育生物学

背景情况:

  • 果大脑是理解神经元多样性和功能的一个关键模型.
  • 基因调节网络 (GRNs),包括转录因子和增强剂,控制细胞身份.
  • 之前的研究已经确定了多种细胞类型,但在单细胞水平上缺乏详细的GRN特征.

研究的目的:

  • 在Drosophila大脑中描述细胞类型特定的基因调节网络.
  • 在不同的神经元细胞类型和发育阶段识别调节元件及其目标基因.

主要方法:

  • 通过9个发育时间点对超过24万个细胞的单细胞色素可访问性分析.
  • 用单细胞转录组整合染色质可访问性数据.
  • 应用动机发现,网络推断和深度学习来构建增强器GRN.

主要成果:

  • 在大脑中识别了超过95000个细胞类型的特定调节区域.
  • 发现与神经发生,重编程和成熟轨迹相关的7万个调节区域.
  • 为40种细胞类型构建增强器GRN,将可访问的区域与转录因子和向基因联系起来.

结论:

  • DeepFlyBrain资源提供了前所未有的洞察力, 了解虫大脑中的神经元调节多样性.
  • 特性增强器架构增强了对细胞类型特定基因调节的理解.
  • 这些发现使得设计精确的细胞类型向和操纵的遗传工具成为可能.