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相关概念视频

RNA-seq03:21

RNA-seq

11.7K
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...
11.7K
Ribosome Profiling02:24

Ribosome Profiling

4.0K
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...
4.0K
pre-mRNA Processing02:01

pre-mRNA Processing

57.0K
In eukaryotic cells, transcripts made by RNA polymerase are modified and processed before exiting the nucleus. Unprocessed RNA is called precursor mRNA or pre-mRNA to distinguish it from mature mRNA.
Once about 20-40 ribonucleotides have been joined together by RNA polymerase, a group of enzymes adds a “cap” to the 5’ end of the growing transcript. In this process, a 5’ phosphate is replaced by modified guanosine that has a methyl group attached to it (7-Methyl...
57.0K

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相关实验视频

Updated: Jan 11, 2026

Identification of Alternative Splicing and Polyadenylation in RNA-seq Data
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Identification of Alternative Splicing and Polyadenylation in RNA-seq Data

Published on: June 24, 2021

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IPScan:通过RNA-seq数据检测新型内部聚基化事件.

Naima Ahmed Fahmi1, Sze Cheng2, Jeovani Overstreet1

  • 1Department of Computer Science, University of Central Florida, Orlando, Florida, United States of America.

PLoS computational biology
|November 11, 2025
PubMed
概括
此摘要是机器生成的。

内部多腺化 (IPA) 生成多种不同的蛋白质异型,影响癌症. 一个新的工具,IPScan,精确地识别和量化这些事件,帮助癌症研究.

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A Rapid High-throughput Method for Mapping Ribonucleoproteins RNPs on Human pre-mRNA
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A Rapid High-throughput Method for Mapping Ribonucleoproteins RNPs on Human pre-mRNA

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相关实验视频

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A Rapid High-throughput Method for Mapping Ribonucleoproteins RNPs on Human pre-mRNA
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科学领域:

  • 分子生物学分子生物学
  • 生物信息学是一种生物信息学.
  • 基因组学就是基因组学.

背景情况:

  • 内体多基化 (IPA) 是一种转录后机制,通过切断转录编码区域来增加转录组和蛋白质组的多样性.
  • 这一过程产生了新型蛋白质异型,其中一些与癌症进展有关,可能是通过失去瘤抑制功能和促进瘤发生.
  • 现有的RNA-seq方法在准确检测和量化新型IPA事件方面面临挑战.

研究的目的:

  • 为了开发一个计算管道,IPScan,用于精确识别,量化和可视化内部多基化事件.
  • 解决目前用于检测和量化新型IPA事件的方法的局限性.

主要方法:

  • 开发IPScan计算管道用于IPA事件分析.
  • 基准测试IPS使用模拟数据,人类和小鼠细胞系对现有方法进行扫描.
  • 对癌症基因组图谱 (TCGA) 乳腺癌数据集的分析.
  • 使用qPCR对差异性IPA事件进行量化和验证.

主要成果:

  • IPScan可以精确识别,量化和可视化IPA事件.
  • 该管道在与现有方法和现实数据集进行比较时表现出强的表现,包括TCGA乳腺癌数据.
  • 在各种生物条件下成功量化了不同的IPA事件,并通过实验验证.

结论:

  • IPScan是一种有效的计算工具,用于准确检测和量化内部多基化事件.
  • 这种工具可以进一步了解IPA在生物过程中的作用,特别是癌症.
  • 这些发现强调了IPA在产生蛋白质多样性的重要性及其对瘤发生的影响.