低温电子层析成像样品制备的改进,电子显微镜仪器,和图像处理算法推进了原位大分子的结构分析。除了对单个大分子的分析,在拥挤的细胞栖息地中研究它们与功能相关的邻居的相互作用,即“分子社会学”,在生物学中至关重要。在这里,我们提出了一种NEighboring分子拓扑聚类(NEMO-TOC)算法。我们优化了该算法,用于检测和分析多核糖体,在基因表达中起着组成和调节作用。我们的结果表明了一个模型,其中多体是通过连接多个非随机块来形成的,其中翻译可能是同步的。
低温电子层析成像样品制备的改进,电子显微镜仪器,和图像处理算法推进了原位大分子的结构分析。除了对单个大分子的分析,在拥挤的细胞栖息地中研究它们与功能相关的邻居的相互作用,即“分子社会学”,在生物学中至关重要。在这里,我们提出了一种NEighboring分子拓扑聚类(NEMO-TOC)算法。我们优化了该算法,用于检测和分析多核糖体,在基因表达中起着组成和调节作用。我们的结果表明了一个模型,其中多体是通过连接多个非随机块来形成的,其中翻译可能是同步的。
Improvements in cryo-electron tomography sample preparation, electron-microscopy instrumentations, and image processing algorithms have advanced the structural analysis of macromolecules in situ. Beyond such analyses of individual macromolecules, the study of their interactions with functionally related neighbors in crowded cellular habitats, i.e. \'molecular sociology\', is of fundamental importance in biology. Here we present a NEighboring Molecule TOpology Clustering (NEMO-TOC) algorithm. We optimized this algorithm for the detection and profiling of
polyribosomes, which play both constitutive and regulatory roles in gene expression. Our results suggest a model where polysomes are formed by connecting multiple nonstochastic blocks, in which translation is likely synchronized.
Improvements in cryo-electron tomography sample preparation, electron-microscopy instrumentations, and image processing algorithms have advanced the structural analysis of macromolecules in situ. Beyond such analyses of individual macromolecules, the study of their interactions with functionally related neighbors in crowded cellular habitats, i.e. “molecular sociology”, is of fundamental importance in biology. Here we present a NEighboring Molecule TOpology Clustering (NEMO-TOC) algorithm. We optimized this algorithm for the detection and profiling of
polyribosomes, which play both constitutive and regulatory roles in gene expression. Our results suggest a model where polysomes are formed by connecting multiple nonstochastic blocks, in which translation is likely synchronized.