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相关概念视频

Necrosis01:16

Necrosis

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Necrosis is considered as an “accidental” or unexpected form of cell death that ends in cell lysis. The first noticeable mention of “necrosis” was in 1859 when Rudolf Virchow used this term to describe advanced tissue breakdown in his compilation titled “Cell Pathology”.
Morphological Manifestations of Necrosis
Necrotic cells show different types of morphological appearance depending on the type of tissue and infection. In coagulative necrosis, cells become...
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Regulation of the Unfolded Protein Response01:31

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Inositol-requiring kinase one or IRE1 is the most conserved eukaryotic unfolded protein response (UPR) receptor. It is a type I transmembrane protein kinase receptor with a distinctive site-specific RNase activity. As the binding mechanics of the misfolded proteins with the N-terminal domain of IRE-1 are unclear, three binding models — direct, indirect, and allosteric -- are proposed for receptor activation. Nevertheless, it is known that once a misfolded protein associates with IRE1, it...
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相关实验视频

Updated: Jul 4, 2025

Author Spotlight: Understanding Cytokine-Induced Cell Death in Intestinal Epithelial Cells Using Human Organoids
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人类死亡的复杂性:其生理学,转录学和微生物学的影响.

Gulnaz T Javan1, Kanhaiya Singh2, Sheree J Finley1

  • 1Department of Physical and Forensic Sciences, Alabama State University, Montgomery, AL, United States.

Frontiers in microbiology
|January 29, 2024
PubMed
概括

人类死亡涉及复杂的生理和遗传变化,微生物活动在死后显著增加. 了解这些过程对于对分解和生物死亡决定的新见解至关重要.

关键词:
人工智能的人工智能是人工智能.基因表达的基因表达方式人类的分解.人类死后微生物组生理学 生理学 身体学

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科学领域:

  • 生理学 生理学 生理学
  • 遗传学 遗传学 是一个
  • 微生物学 微生物学
  • 法医科学 法医科学 法医科学

背景情况:

  • 人类的死亡是一个复杂的,时间控制的过程,涉及身体功能不可逆转的停止.
  • 目前对即时死后生理变化和从生命过渡到死亡的理解仍然不完整.
  • 有限的知识将组织层面的死病理与机体功能损失联系起来.

研究的目的:

  • 审查在人类死亡和分解过程中定义生物变化的生理,遗传和微生物机制.
  • 突出最近关于微生物在死亡后增殖的作用的发现.
  • 强调需要更新模型,包括人工智能,以确定生物死亡.

主要方法:

  • 关于编程细胞死亡的最新分子和遗传研究的综述.
  • 在生物死亡期间对生理弹性和耐力反应的分析.
  • 结合微生物学的研究结果,研究死后微生物的丰富性.

主要成果:

  • 人体中的大多数细胞都是微生物,它们的数量在死亡后显著增加.
  • 细胞,组织,器官和系统在死亡过程中表现出差异性弹性.
  • 最近的研究为了解细胞生物学和死亡生理学提供了一个范式的转变.

结论:

  • 未来的研究将生理学和微生物学方面整合起来,有望为死亡和分解提供新的见解.
  • 了解非生物和生物因素的相互作用是关于生物转化为非生物转化的翻译知识的关键.
  • 对生物死亡的模型进行修订,可能使用人工智能,对于精确确定恒常状态的停止至关重要.