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相关概念视频

RNA-seq03:21

RNA-seq

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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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lncRNA - Long Non-coding RNAs02:39

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In humans, more than 80% of the genome gets transcribed. However, only around 2% of the genome codes for proteins. The remaining part produces non-coding RNAs which includes ribosomal RNAs, transfer RNAs, telomerase RNAs, and regulatory RNAs, among other types. A large number of regulatory non-coding RNAs have been classified into two groups depending upon their length – small non-coding RNAs, such as microRNA, which are less than 200 nucleotides in length, and long non-coding RNA...
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相关实验视频

Updated: Sep 9, 2025

Identification of Circular RNAs using RNA Sequencing
08:25

Identification of Circular RNAs using RNA Sequencing

Published on: November 14, 2019

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在线循环RNA数据库

Sachiko Kuwamoto-Imanishi1, Hodaka Fujii2

  • 1Department of Biochemistry and Genome Biology, Hirosaki University Graduate School of Medicine, Hirosaki, Aomori Prefecture, Japan.

Advances in experimental medicine and biology
|August 31, 2025
PubMed
概括
此摘要是机器生成的。

循环RNAs是癌症等疾病的有价值的生物标志物. 许多数据库现在有助于识别这些非编码RNA及其功能.

关键词:
生物信息学保护情况数据库疾病关联功能注释互动体存在学序列注释这样就好了.

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Last Updated: Sep 9, 2025

Identification of Circular RNAs using RNA Sequencing
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科学领域:

  • 基因组学
  • 分子生物学
  • 生物信息学

背景情况:

  • 循环RNAs (circRNAs) 是非编码RNAs (ncRNAs),它们在基因调节中的作用和潜在的疾病生物标志物.
  • 它们作为ncRNA和蛋白质的海绵的能力,加上体液中的检测能力,突出了它们的临床意义.
  • 专业数据库的发展促进了circRNA的识别和研究.

研究的目的:

  • 提供现有circRNA数据库的全面概述.
  • 介绍新的 circRNA 数据库并讨论它们的特点.
  • 解决circRNA数据库命名和维护方面的挑战.

主要方法:

  • 对已建立的circRNA数据库进行审查和总结 (例如Circ2Traits,circBase).
  • 从数据库共享中引入新编目的 circRNA 数据库.
  • 讨论数据库内容,包括注释,相互作用数据,疾病关联和表达特征.

主要成果:

  • 自2013年以来,已建立了43个circRNA数据库,其中许多提供详细的注释和交互数据.
  • 数据库现在包含RNA测序数据和精选的文献,简化了包括植物在内的各种物种的circRNA探索.
  • 这些数据库包括Circ2Traits,circBase,CircInteractome,CircNet,CircR2Disease,TSCD和CSCD.

结论:

  • 有越来越多的circRNA数据库可用,支持研究它们在各种生物过程和疾病中的作用.
  • 这些资源有助于识别circRNAs作为潜在的生物标志物,特别是在瘤学中.
  • 需要持续努力来规范命名,并确保这些有价值的生物信息工具的持续更新.