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Regulation of Expression at Multiple Steps01:23

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The gene expression in cells is regulated at different stages: (i) transcription, (ii) RNA processing, (iii) RNA localization, and (iv) translation. Transcriptional regulation is mediated by regulatory proteins such as transcription factors, activators, or repressors—these control gene expression by initiating or inhibiting the transcription of genes. Once a precursor or pre-mRNA is produced, it undergoes post-transcriptional modification, including 5' capping, splicing, and the...
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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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Cell Specific Gene Expression01:58

Cell Specific Gene Expression

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Multicellular organisms contain a variety of structurally and functionally distinct cell types, but the DNA in all the cells originated from the same parent cells. The differences in the cells can be attributed to the differential gene expression. Liver cells, whose functions include detoxification of blood, production of bile to metabolize fats, and synthesis of proteins essential for metabolism, must express a specific set of genes to perform their functions. Gene expression also varies with...
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Rapid Development of Cell State Identification Circuits with Poly-Transfection
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大規模言語モデルを用いた条件付きDNA調節配列生成のためのマルチモーダル細胞コンテキスト命令チューニング

Junhao Liu1, Pengpeng Zhang1, Siwei Xu1

  • 1University of California, Irvine.

Proceedings. International Conference on Image Processing
|December 22, 2025
PubMed
まとめ

合成生物学エンハンサーの設計は困難です。Leonineは新しいフレームワークであり、大規模言語モデル(LLM)と細胞データを使用してコンテキストを認識したエンハンサー設計を行い、転写因子リクルートメントと機能を改善します。

背景:

  • 合成生物学にとって、エンハンサーのような効果的な調節DNA配列の設計は非常に重要です。
  • 現在の方法では、細胞型特異的な転写因子(TF)のリクルートメントに苦労しており、最適ではないエンハンサー設計につながっています。

結論:

  • Leonineは、コンテキストを認識したDNA配列設計のための新しいパラダイムを確立します。
  • 合成生物学の分野を、遺伝子調節の正確な制御を可能にすることで前進させます。
  • 特定の細胞コンテキストにおけるエンハンサー機能の最適化のための強力なツールを提供します。
キーワード:
離散信号マルチモーダル大規模言語モデル調節配列生成

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