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相关概念视频

Mechanisms of Membrane-bending01:15

Mechanisms of Membrane-bending

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The living membranes are flexible due to their fluid mosaic nature; however, their bending into different shapes is an active process regulated by specific lipids and proteins. The membrane bending can be transient as seen in vesicles or stable for a long time as in microvilli. Cells regulate the size, location, and duration of the membrane curvature.
Membrane bending can happen due to intrinsic changes in lipid composition or extrinsic association with different proteins. The proteins involved...
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Protein Diffusion in the Membrane01:24

Protein Diffusion in the Membrane

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Proteins show rotational as well as lateral diffusion across the membrane. The lateral diffusion of proteins was confirmed through the cell fusion experiment where mouse and human cells were fused, resulting in hybrid cells. When the human and mouse cells fused, the specific membrane proteins on human and mouse cells were marked with the red and green-fluorescent markers, respectively. Initially, the red and green fluorescence was located on the respective hemisphere of the cell. As time...
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Protein Folding01:22

Protein Folding

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Overview
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Protein Folding01:25

Protein Folding

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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...
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Signal Sequences and Sorting Receptors01:41

Signal Sequences and Sorting Receptors

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Signal sequences are short amino acid sequences that guide newly synthesized proteins to their proper location within the cell. Classical signal sequences are fifteen to sixty amino acids long and present at the N-terminus of a polypeptide chain. Each signal sequence has a conserved segment of basic residues towards their N terminus, a hydrophobic core, and a C-terminus rich in polar residues. The C-terminus also contains a signal cleavage site and features a -3 -1 sequence motif. The -3-1...
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Membrane Fluidity01:23

Membrane Fluidity

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Cell membranes are composed of phospholipids, proteins, and carbohydrates loosely attached to one another through chemical interactions. Molecules are generally able to move about in the plane of the membrane, giving the membrane its flexible nature called fluidity. Two other features of the membrane contribute to membrane fluidity: the chemical structure of the phospholipids and the presence of cholesterol in the membrane.
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Pulling Membrane Nanotubes from Giant Unilamellar Vesicles
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预测蛋白质曲率在膜组合中进行排序.

Yiben Fu1, David H Johnson2, Andrew H Beaven3

  • 1School of Biomedical Sciences and Engineering, South China University of Technology, Guangzhou International Campus, Guangzhou 511442, P. R. China; National Engineering Research Center for Tissue Restoration and Reconstruction, South China University of Technology, Guangzhou 510006, P. R. China; Guangdong Provincial Key Laboratory of Biomedical Engineering, South China University of Technology, Guangzhou 510006, P. R. China; Key Laboratory of Biomedical Materials and Engineering of the Ministry of Education, South China University of Technology, Guangzhou 510006, P. R. China.

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概括

这项研究引入了一种新的膜模型,以了解脂质组成如何影响蛋白质曲率排序. 该模型准确地预测了膜特性如何影响蛋白质对曲面的招募,有助于理解蛋白质向.

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科学领域:

  • 生物物理学的生物物理.
  • 计算生物学 计算生物学
  • 细胞生物学 细胞生物学

背景情况:

  • 细胞质蛋白需要膜招募至关重要的细胞功能,如内分细胞和细胞分裂.
  • 蛋白质的招募通常受膜脂质组成和表面曲率的影响,这种现象被称为曲率分类.
  • 以前的模型很难系统地描述脂质组成对曲率偏好的影响,这是由于膜性质的同时变化造成的.

研究的目的:

  • 开发和应用双层连续膜模型,系统分析脂质组成如何影响蛋白质曲率分类.
  • 量化膜材料特性 (厚度,自发曲率,叶片对称性) 的受控变化对蛋白质结合偏好的影响.
  • 为了解各种膜曲率的蛋白质膜相互作用提供预测工具.

主要方法:

  • 使用连续的三角网格来表示膜单层的双层连续膜模型的开发.
  • 引入一个合能量术语来解释膜不压缩性和脂质倾斜能量.
  • 对模型与体外实验和全原子分子动力学 (MD) 模拟进行验证.

主要成果:

  • 该模型准确地预测了具有明显脂质尾部组 (例如POPC与DLPC) 的膜中较强的曲率分类,将DLPC中较弱的分类归因于其较小的厚度和形状.
  • 膜厚度和脂质形状被确定为影响曲率分类的关键因素,比自发曲率或叶片不对称更重要.
  • 该模型与实验和模拟数据在蛋白质插入后的能量和结构变化方面有很强的一致性.

结论:

  • 开发的多尺度膜模型有效地预测了脂质组成和材料特性如何控制蛋白质曲率分类.
  • 这种计算方法使蛋白质 - 膜相互作用的有效和定量分析成为可能,这对于理解时间空间蛋白质向至关重要.
  • 研究结果强调了膜厚度和脂质形状在指导蛋白质招募到特定膜区域方面的重要性.