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Improving Translational Accuracy02:07

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Base complementarity between the three base pairs of mRNA codon and the tRNA anticodon is not a failsafe mechanism. Inaccuracies can range from a single mismatch to no correct base pairing at all. The free energy difference between the correct and nearly correct base pairs can be as small as 3 kcal/ mol. With complementarity being the only proofreading step, the estimated error frequency would be one wrong amino acid in every 100 amino acids incorporated. However, error frequencies observed in...
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Alternative RNA Splicing02:18

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Alternative RNA Splicing02:18

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Alternative RNA splicing is the regulated splicing of exons and introns to produce different mature mRNAs from a single pre-mRNA. Unlike in constitutive splicing where a single gene produces a single type of mRNA, alternative splicing allows an organism to produce multiple proteins from a single gene and plays an important role in protein diversity.
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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. 
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RNA editing is a post-transcriptional modification where a precursor mRNA (pre-mRNA) nucleotide sequence is changed by base insertion, deletion, or modification. The extent of RNA editing varies from a few hundred bases, in mitochondrial DNA of trypanosomes, to a just single base, in nuclear genes of mammals. Even a single base change in the pre-mRNA can convert a codon for one amino acid into the codon for another amino acid or a stop codon. This type of re-coding can significantly affect the...
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Rare Event Detection Using Error-corrected DNA and RNA Sequencing
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トランスクリプトの表現認識アノテーションは,まれな変数の解釈を改善します.

Beryl B Cummings1,2,3, Konrad J Karczewski1,2, Jack A Kosmicki1,2,4

  • 1Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA.

Nature
|May 29, 2020
PubMed
まとめ
この要約は機械生成です。

希少な遺伝子変異の解釈は 困難です エクソン発現レベルを用いた新しい方法は,特に投与量に敏感な遺伝子の病気を引き起こす変異種を特定する精度を改善します.

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Last Updated: Dec 20, 2025

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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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Targeted Next-generation Sequencing and Bioinformatics Pipeline to Evaluate Genetic Determinants of Constitutional Disease
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科学分野:

  • ゲノミクス
  • 分子生物学
  • バイオ情報学

背景:

  • DNA配列の加速は 膨大なヒト遺伝子の多様性を 生み出します
  • 希少な遺伝子変異,特に投与量に敏感な遺伝子の 破壊的な変異を解釈することは,大きな課題です.
  • mRNAの代替スプライシングは,細胞種間の変異性エクソン発現につながり,変異性の解釈を複雑にする.

研究 の 目的:

  • 変数のアイソフォーム表現を定量化するための新しいトランスクリプトレベルのアノテーションメトリックを開発する.
  • このメトリックの有用性を評価する.
  • 病気の遺伝子の誤って注釈された推定機能喪失 (pLoF) 変異のフィルタリングを改善する.

主な方法:

  • ゲノム集積データベース (gnomAD) 内のハプロイン不十分な疾患遺伝子のpLoF変異の手動キュレーション.
  • 遺伝子型組織表現 (GTEx) プロジェクトのデータを用いて"トランスクリプト全体で表現された比率"の開発と計算.
  • 自閉症スペクトル障害と発達障害のコホートにおける de novo 変異を分析するために表現フィルターを適用する.

主要な成果:

  • "トランスクリプト全体で表現された比率"のメトリックは,進化的に保存が弱いと高度なエクソンを区別する.
  • 発現ベースのアノテーションは,病原性変異の除去を最小限にしながら,誤ってアノテーションされたpLoF変異の22.8%を選択的にフィルターします.
  • 高度に発現するエクソンのpLoF変種は,自閉症スペクトル障害および発達障害の症例において著しく濃縮されます.

結論:

  • 開発されたアノテーションメトリックは,アイソフォーム表現データを組み込むことで変数を解釈するための貴重なツールを提供します.
  • このアプローチは 希少疾患の遺伝子診断と 複雑な疾患における 希少変異の負荷の分析を 強化します
  • アノテーションは迅速で柔軟で一般化可能であり,様々な遺伝子研究における変異の整理と優先順位付けを助けます.