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相关概念视频

Ribosome Profiling02:24

Ribosome Profiling

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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...
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RNA-seq03:21

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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...
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米在线表达特征阵列数据库版本2 (ROADv2):米功能基因组学的交互式图谱.

Wonjae Hwang1, Woo-Jong Hong1,2, Eui-Jung Kim1,3

  • 1Graduate School of Green-Bio Science and Crop Biotech Institute, Kyung Hee University, Yongin, 17104, Republic of Korea.

Rice (New York, N.Y.)
|December 26, 2024
PubMed
概括

更新的米在线表达特征阵列数据库版本2 (ROADv2) 现在使用RNA-Seq数据进行更准确的米基因表达分析. 这种增强的资源提供了新的蛋白质-蛋白质相互作用网络分析,并改善了米功能基因组学的可视化.

关键词:
基因本体学 (GO) 丰富方式基因和基因组的京都百科全书 (KEGG)超表达式分析的分析预测的蛋白蛋白相互作用.大米 大米 大米 大米 大米

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科学领域:

  • 植物生物学 植物生物学
  • 基因组学就是基因组学.
  • 生物信息学是一种生物信息学.

背景情况:

  • 米 (Oryza sativa) 是全球重要的作物,需要先进的工具来理解其复杂的基因表达模式.
  • 之前的Rice Online表达式配置文件阵列数据库 (ROAD) 版本依赖于微阵列数据,限制了准确性.
  • 对于大米功能基因组学研究来说,需要一个全面的,最新的资源至关重要.

研究的目的:

  • 介绍ROADv2,一个升级的数据库,用于米基因表达分析,利用RNA测序 (RNA-Seq) 数据.
  • 为了提高大米基因的数据准确性,注释和功能丰富信息.
  • 结合新的功能,如蛋白质-蛋白质相互作用 (PPI) 网络分析和改进的交互可视化.

主要方法:

  • 转换了 328 个不同的大米基因表达数据集的微阵列到 RNA-Seq 数据.
  • 更新了基因注释到RGAP版本7并整合了最近的基因本体学 (GO) 和基因和基因组 (KEGG) 版本的京都百科全书.
  • 实现了用户交互式热图,同表达相关性分析,网络图形和PPI网络分析.

主要成果:

  • ROADv2 在各种实验系列 (解剖学,压力,激素,营养素) 中提供准确的基因表达特征.
  • 新功能包括交互式热图,与网络可视化一起进行表达分析,以及功能丰富工具 (GO,KEGG).
  • 与同表达数据集成的蛋白质-蛋白质相互作用网络分析提高了预测的准确性.

结论:

  • ROADv2 作为大米功能基因组学的一个全面和可靠的资源.
  • 该数据库有助于更深入地了解大米中的基因功能,调节和相互作用.
  • 在ROADv2中提高准确性和新的分析工具支持先进的水研究.