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相关概念视频

Protein Folding01:22

Protein Folding

Overview
Protein and Protein Structure02:15

Protein and Protein Structure

Proteins are one of the most abundant organic molecules in living systems and have the most diverse range of functions of all macromolecules. Proteins may be structural, regulatory, contractile, or protective. They may serve in transport, storage, or membranes; or they may be toxins or enzymes. Their structures, like their functions, vary greatly. They are all, however, amino acid polymers arranged in a linear sequence.
A protein's shape is critical to its function. For example, an enzyme can...
Protein Folding01:22

Protein Folding

Overview
Amyloid Fibrils03:03

Amyloid Fibrils

Amyloid fibrils are aggregates of misfolded proteins.  Under most circumstances, misfolded proteins are either refolded by chaperone proteins or degraded by the proteasome. However, in the case of a mutation or a disease, these proteins can accumulate to form large clusters and often further assemble to form elongated fibers, called fibrils. 
Amyloid deposits were observed as early as 1639 in the liver and the spleen.   In 1854, Rudolph Virchow performed iodine staining, normally used to...
Protein Folding01:25

Protein Folding

Proteins are chains of amino acids linked together by peptide bonds. Upon synthesis, a protein folds into a three-dimensional conformation, critical to its biological function. Interactions between its constituent amino acids guide protein folding, and hence the protein structure is primarily dependent on its amino acid sequence.
Protein Structure Is Critical to Its Biological Function
Proteins perform a wide range of biological functions such as catalyzing chemical reactions, providing...
Amyloid Fibrils03:03

Amyloid Fibrils

Amyloid fibrils are aggregates of misfolded proteins.  Under most circumstances, misfolded proteins are either refolded by chaperone proteins or degraded by the proteasome. However, in the case of a mutation or a disease, these proteins can accumulate to form large clusters and often further assemble to form elongated fibers, called fibrils. 
Amyloid deposits were observed as early as 1639 in the liver and the spleen.   In 1854, Rudolph Virchow performed iodine staining, normally used to...

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相关实验视频

Updated: May 17, 2026

Identification of Disease-related Spatial Covariance Patterns using Neuroimaging Data
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空间形态蛋白质特征从组织架构预测疾病状态.

Thomas Hu1,2, Efe Ozturk1,2, Mayar Allam1

  • 1Wallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology and Emory University, Atlanta, GA, USA.

iScience
|August 18, 2025
PubMed
概括

图形神经网络管道SNOWFLAKE通过在组织微环境中分析免疫细胞组织和形态来预测疾病状态. 这种方法可以准确地分类感染状态,并揭示与疾病相关的细胞模式.

关键词:
免疫学 免疫学 免疫学机器学习 机器学习蛋白质组学是指蛋白质组学.

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相关实验视频

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科学领域:

  • 空间系统生物学空间系统生物学
  • 计算病理学计算病理学
  • 免疫学 免疫学 免疫学

背景情况:

  • 了解免疫细胞在组织微环境中的组织对于解释疾病至关重要.
  • 空间蛋白质组学数据为细胞相互作用和疾病状态提供了洞察力.

研究的目的:

  • 介绍SNOWFLAKE,一种新的图形神经网络管道,用于使用空间蛋白质组学数据预测疾病状态.
  • 整合单细胞蛋白表达和形态特征,以便对组织微环境进行增强分析.

主要方法:

  • 开发了SNOWFLAKE,这是一个集成单细胞蛋白表达和形态的图形神经网络管道.
  • 将SNOWFLAKE应用于儿科COVID-19数据集,用于感染状态分类.
  • 将形态纳入图形边缘特征,以识别空间组织的子图.

主要成果:

  • 在分类COVID-19感染状态方面,SNOWFLAKE的表现优于传统的机器学习和深度学习方法.
  • 在淋巴卵泡中确定了与疾病状况相关的独特的空间组织子图.
  • 在单细胞社区内揭示了可解释的细胞图案.

结论:

  • 雪花有效地提取有意义的子图嵌入,以了解疾病中的免疫架构变化.
  • 这种方法在不同的组织类型中显示出可通用性,包括乳腺癌和三级淋巴体结构.
  • 从多重成像数据中,SNOWFLAKE对空间系统生物学和生物标志物发现具有显著的实用性.