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

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
Leaky Scanning02:28

Leaky Scanning

5.6K
During most eukaryotic translation processes, the small 40S ribosome subunit scans an mRNA from its 5' end until it encounters the first start AUG codon. The large 60S ribosomal subunit then joins the smaller one to initiate protein synthesis. The location of the translation initiation is largely determined by the nucleotides near the start codon as there may be multiple translation initiation sites present on the mRNA.  Marilyn Kozak discovered that the sequence RCCAUGG (where R...
5.6K

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

SERIPH: A Two-Step Extraction Protocol for Selective Enrichment of Semi-Extractable RNAs.

RNA (New York, N.Y.)·2026
Same author

Age-related decline in nuclear envelope LINC complex drives neuronal aging via axon initial segment dysfunction.

EMBO reports·2026
Same author

Differentiation of RNA-protein docking structures through molecular dynamics simulation and machine learning methods.

Briefings in bioinformatics·2026
Same author

Refined Modulation of Natural Killer Cells by Transforming Growth Factor-β Isoforms.

Genes to cells : devoted to molecular & cellular mechanisms·2026
Same author

Lipid balance and chemoresistance in cancer cells.

eLife·2026
Same author

Phospholipase C δ1 affects integrin-mediated cell adhesion and migration by altering available phosphatidylinositol 4,5-bisphosphate levels.

Experimental cell research·2025
Same journal

Correction to 'New origin firing is inhibited by APC/CCdh1 activation in S-phase after severe replication stress'.

Nucleic acids research·2026
Same journal

VeloRM: disentangling pre- and post-splicing RNA modification dynamics at single-cell resolution.

Nucleic acids research·2026
Same journal

Accessibility of telomeric overhangs to stabilizing small-molecule ligands.

Nucleic acids research·2026
Same journal

Multivalent interactions mediate SNAIL transcription factor stimulation of the nucleosome deacetylase activity of the CoREST complex.

Nucleic acids research·2026
Same journal

Genome-wide mapping of DNA G-quadruplexes in Trypanosoma brucei chromatin reveals enrichment in coding regions and transcription start sites.

Nucleic acids research·2026
Same journal

Correction to 'The Gene Ontology knowledgebase in 2026'.

Nucleic acids research·2026
查看所有相关文章

相关实验视频

Updated: Jan 17, 2026

An Optimized Quantitative Pull-Down Analysis of RNA-Binding Proteins Using Short Biotinylated RNA
07:55

An Optimized Quantitative Pull-Down Analysis of RNA-Binding Proteins Using Short Biotinylated RNA

Published on: February 17, 2023

5.1K

拉普斯科尔 (RaptScore):一个基于大型语言模型的算法,用于多用途的aptamer评估.

Akira Kimura-Yamazaki1, Tatsuo Adachi2, Shigetaka Nakamura2

  • 1Graduate School of Advanced Science and Engineering, Waseda University, Shinjuku-ku Okubo 3-4-1, 169-0072 Tokyo, Japan.

Nucleic acids research
|January 14, 2026
PubMed
概括
此摘要是机器生成的。

研究人员开发了RaptScore,这是一种使用大型语言模型评估RNA受体结合活性的新指标. 这种工具可以识别更短,更有效的体,并提高发现效率,减少实验工作.

更多相关视频

Mapping the Binding Site of an Aptamer on ATP Using MicroScale Thermophoresis
08:09

Mapping the Binding Site of an Aptamer on ATP Using MicroScale Thermophoresis

Published on: January 7, 2017

11.2K
In Vitro Selection of Aptamers to Differentiate Infectious from Non-Infectious Viruses
12:23

In Vitro Selection of Aptamers to Differentiate Infectious from Non-Infectious Viruses

Published on: September 7, 2022

2.0K

相关实验视频

Last Updated: Jan 17, 2026

An Optimized Quantitative Pull-Down Analysis of RNA-Binding Proteins Using Short Biotinylated RNA
07:55

An Optimized Quantitative Pull-Down Analysis of RNA-Binding Proteins Using Short Biotinylated RNA

Published on: February 17, 2023

5.1K
Mapping the Binding Site of an Aptamer on ATP Using MicroScale Thermophoresis
08:09

Mapping the Binding Site of an Aptamer on ATP Using MicroScale Thermophoresis

Published on: January 7, 2017

11.2K
In Vitro Selection of Aptamers to Differentiate Infectious from Non-Infectious Viruses
12:23

In Vitro Selection of Aptamers to Differentiate Infectious from Non-Infectious Viruses

Published on: September 7, 2022

2.0K

科学领域:

  • 生物技术是生物技术.
  • 计算生物学 计算生物学
  • 药物发现 药物发现 药物发现

背景情况:

  • RNA亚体是生命科学中宝贵的工具,特别是在药物发现方面.
  • 通过指数式丰富 (SELEX) 的联体的系统进化是一种常见的aptamer生成方法,但具有局限性.
  • 现有的aptamer评估指标仅限于SELEX中发现的序列,不能评估不同的长度.

研究的目的:

  • 开发一种新的结合活性评估指标,用于克服 SELEX 的局限性.
  • 为了能够评估任意序列,包括未被SELEX识别的序列,并适应序列长度的变化.
  • 为了提高aptamer设计优化和发现效率.

主要方法:

  • 开发RaptScore,一种利用大型语言模型进行RNA胺酶结合活性评估的新指标.
  • 整合RaptScore与in silico成熟用于aptamer序列优化.
  • 将RaptScore与RaptGen结合起来,这是一个基于自编码器的变异性aptamer发现工具.

主要成果:

  • 拉普斯科尔 (RaptScore) 显示,与实际结合活动有很强的相关性.
  • 识别具有维持或增强结合性质的较短RNA体.
  • 通过RaptScore和in silico成熟实现了10个核酸序列的截断,同时保持了结合效率.
  • 当RaptScore与RaptGen.Gen结合使用时,提高了阿帕特默发现效率.

结论:

  • 拉普斯科尔 (RaptScore) 是一个强大的工具,用于评估和优化RNA胺基序列.
  • 该指标有助于发现高活性体,包括较短的变体.
  • 拉普斯科尔显著减少了在aptamer研究和开发中的实验力度.