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相关概念视频

Improving Translational Accuracy02:07

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During most eukaryotic translation processes, the small 40S ribosome subunit scans an mRNA from its 5' end until it encounters the first start AUG codon. The large 60S ribosomal subunit then joins the smaller one to initiate protein synthesis. The location of the translation initiation is largely determined by the nucleotides near the start codon as there may be multiple translation initiation sites present on the mRNA.  Marilyn Kozak discovered that the sequence RCCAUGG (where R...
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Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches01:23

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Biopharmaceutical studies constitute a vital field aiming to enhance drug delivery methods and refine therapeutic approaches, drawing upon diverse interdisciplinary knowledge. In research methodologies, the choice between controlled and non-controlled studies significantly influences the study's reliability and accuracy.
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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.
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Gene expression can be regulated at almost every step from gene to protein. Transcription is the step that is most commonly regulated. This involves the binding of proteins to short regulatory sequences on the DNA. This association can either promote or inhibit the transcription of a gene associated with the respective sequence.
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Translation01:31

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Translation is the process of synthesizing proteins from the genetic information carried by messenger RNA (mRNA). Following transcription, it constitutes the final step in the expression of genes. This process is carried out by ribosomes, complexes of protein and specialized RNA molecules. Ribosomes, transfer RNA (tRNA), and other proteins produce a chain of amino acids—the polypeptide—as the end product of translation.
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开发一个利益相关者知情的社会责任模型,用于翻译科学.

Elise M R Smith1,2,3, Georgia Loutrianakis1,3, Kimberly Beatty4

  • 1School of Public and Population Health, University of Texas Medical Branch, Galveston, Texas, United States of America.

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这项研究介绍了一种对社会负责的翻译科学模型,以提高健康公平. 它强调社区参与,以确保研究的相关性,可用性和可持续性,以获得更大的社会利益.

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科学领域:

  • 生物医学研究生物医学研究
  • 翻译科学 翻译科学
  • 公共卫生 公共卫生

背景情况:

  • 尽管生物医学研究取得了进展,但健康结果和公平性并没有像预期的那样得到改善.
  • 翻译科学旨在弥合研究与社会利益之间的差距.
  • 现有的模型可能无法完全使研究与社会需求和差异保持一致.

研究的目的:

  • 为社会负责任的翻译科学提出一个实用的模型.
  • 调整研究与预期的社会效益并改善健康结果.
  • 通过社区参与的研究实践来解决健康差异.

主要方法:

  • 进行了12个重点小组和与科学家和社区成员举行的审议对话峰会.
  • 利用基于相关性,可用性和可持续性标准的演性定性数据分析.
  • 从翻译科学中关于社会责任的讨论中开发了诱导代码.

主要成果:

  • 扩大研究范围,包括社会影响和健康决定因素,提高了相关性.
  • 改善对研究产品,过程和参与的访问,提高了可用性.
  • 共同开发和共同融资通过纳入社区需求来确保长期的可持续性.

结论:

  • 一个具有社会责任的翻译科学模型可以改善研究与社会利益的协调.
  • 社区参与对于提高研究的相关性,可用性和可持续性至关重要.
  • 这种方法可以帮助减少健康不平等,改善公共卫生结果.