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相关概念视频

mRNA Stability and Gene Expression02:51

mRNA Stability and Gene Expression

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The structure and stability of mRNA molecules regulates gene expression, as mRNAs are a key step in the pathway from gene to protein. In eukaryotes, the half-life of mRNA varies from a few minutes up to several days. mRNA stability is essential in growth and development. The absence of the proteins regulating its stability, such as tristetraprolin in mice, can cause systemic issues, including bone marrow overgrowth, inflammation, and autoimmunity.
Cis-acting Elements involved in mRNA stability
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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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相关实验视频

Updated: Jul 6, 2025

Antimicrobial Peptides Produced by Selective Pressure Incorporation of Non-canonical Amino Acids
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Antimicrobial Peptides Produced by Selective Pressure Incorporation of Non-canonical Amino Acids

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使用ProteinMPNN改善蛋白质表达,稳定性和功能

Kiera H Sumida1,2, Reyes Núñez-Franco3, Indrek Kalvet2,4,5

  • 1Department of Chemistry, University of Washington, Seattle, Washington 98195, United States.

Journal of the American Chemical Society
|January 9, 2024
PubMed
概括
此摘要是机器生成的。

研究人员使用 ProteinMPNN 深度神经网络来设计具有增强表达,稳定性和生物技术功能的蛋白质. 这种方法改善了蛋白质的特性,使其具有更广泛的技术应用.

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Co-Translational Insertion of Membrane Proteins into Preformed Nanodiscs
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Efficient Mammalian Cell Expression and Single-step Purification of Extracellular Glycoproteins for Crystallization
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科学领域:

  • 生物化学
  • 蛋白质工程
  • 计算生物学

背景情况:

  • 原生蛋白在功能上是优化的,但由于表达,溶性和稳定性差,在生物技术上难以生产.
  • 提高蛋白质的物理性质,同时保持功能,对于推进基于蛋白质的技术至关重要.

研究的目的:

  • 使用计算设计开发一种增强蛋白质表达,稳定性和功能的通用方法.
  • 在蛋白质工程中展示 ProteinMPNN 深度神经网络的实用性.

主要方法:

  • 使用ProteinMPNN深度神经网络与蛋白质设计的进化和结构数据相结合.
  • 应用该方法来设计肌球蛋白和烟草蚀刻病毒 (TEV) 蛋白酶.

主要成果:

  • 设计的蛋白质变体表现出更好的表达水平和更高的化温度.
  • 与原始序列和现有变体相比,工程TEV蛋白酶变体显示出增强的催化活性.
  • 成功改善了目标蛋白质的关键物理和功能性质.

结论:

  • 基于蛋白MPNN的方法为增强蛋白质表达,稳定性和功能提供了可行的策略.
  • 这种方法对改善生物技术相关蛋白质具有广泛的适用性.
  • 计算型蛋白质设计对基于蛋白质的技术具有显著的前景.