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相关概念视频

RNA Splicing01:32

RNA Splicing

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Splicing is the process by which eukaryotic RNA is edited before its translation into protein. The RNA strand transcribed from eukaryotic DNA is called the primary transcript. The primary transcripts that become mRNAs are called precursor messenger RNAs (pre-mRNAs). Eukaryotic pre-mRNA contains alternating sequences of exons and introns. Exons are nucleotide sequences that code for proteins, whereas introns are the non-coding regions. In RNA splicing, introns are removed and exons are bonded...
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Alternative RNA Splicing02:18

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相关实验视频

Updated: Jul 7, 2025

Using RNA-sequencing to Detect Novel Splice Variants Related to Drug Resistance in In Vitro Cancer Models
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Using RNA-sequencing to Detect Novel Splice Variants Related to Drug Resistance in In Vitro Cancer Models

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基准对比拼接变体预测算法使用大规模并行拼接试验.

Cathy Smith1,2, Jacob O Kitzman3,4

  • 1Department of Human Genetics, University of Michigan Medical School, Ann Arbor, MI, 48109, USA.

Genome biology
|December 22, 2023
PubMed
概括
此摘要是机器生成的。

识别拼接破坏性变体 (SDVs) 是一个挑战. 像SpliceAI和Pangolin这样的深度学习预测器显示出希望,但需要提高准确性,特别是对于外基因内的变异.

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A Reporter Based Cellular Assay for Monitoring Splicing Efficiency
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A Reporter Based Cellular Assay for Monitoring Splicing Efficiency

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Merging Absolute and Relative Quantitative PCR Data to Quantify STAT3 Splice Variant Transcripts
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Merging Absolute and Relative Quantitative PCR Data to Quantify STAT3 Splice Variant Transcripts

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相关实验视频

Last Updated: Jul 7, 2025

Using RNA-sequencing to Detect Novel Splice Variants Related to Drug Resistance in In Vitro Cancer Models
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Using RNA-sequencing to Detect Novel Splice Variants Related to Drug Resistance in In Vitro Cancer Models

Published on: December 9, 2016

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A Reporter Based Cellular Assay for Monitoring Splicing Efficiency
08:53

A Reporter Based Cellular Assay for Monitoring Splicing Efficiency

Published on: September 15, 2021

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Merging Absolute and Relative Quantitative PCR Data to Quantify STAT3 Splice Variant Transcripts
11:19

Merging Absolute and Relative Quantitative PCR Data to Quantify STAT3 Splice Variant Transcripts

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科学领域:

  • 基因组学就是基因组学.
  • 计算生物学 计算生物学
  • 分子生物学分子生物学

背景情况:

  • 影响mRNA拼接的变体对遗传疾病有很大影响.
  • 很难识别超出正规站点的拼接破坏性变体 (SDV).
  • 现有的计算预测器经常显示不一致,并根据偏见的临床数据进行验证.

研究的目的:

  • 为了对八种广泛使用的拼接效应预测算法进行基准测试.
  • 评估从大规模并行拼接试验 (MPSAs) 的实验基础真实数据对预测器性能.
  • 评估用于变量解释的计算预测器的概括性.

主要方法:

  • 基准测试八个拼接效应预测算法.
  • 使用大规模并行拼接试验 (MPSA) 来生成实验基础真相数据.
  • 比较生物信息学预测与实验测量的拼接结果,用于5个基因的3,616个变体.

主要成果:

  • 与内在变体相比,外在变体的算法一致性较低.
  • 深度学习预测器,特别是SpliceAI和Pangolin,在区分破坏性和中性变体方面表现出卓越的灵敏度.
  • 基因模型注释中的可变性显著影响变异得分和预测准确性.

结论:

  • 在测试的预测器中,SpliceAI和Pangolin表现最好.
  • 在拼接效应预测方面需要进一步改进,特别是对于位于外型的变体.
  • 优化得分截止值和对基因模型注释变异性的考虑对于精确的全基因组变异得分至关重要.