Characterizing the topography of membrane receptors and signaling molecules from spatial patterns obtained using nanometer-scale electron-dense probes and electron microscopy

被引:75
作者
Zhang, J
Leiderman, K
Pfeiffer, JR
Wilson, BS
Oliver, JM
Steinberg, SL [1 ]
机构
[1] Univ New Mexico, Dept Math & Stat, Albuquerque, NM 87110 USA
[2] Univ New Mexico, Dept Comp Sci, Albuquerque, NM 87110 USA
[3] Univ New Mexico, Dept Pathol, Albuquerque, NM 87110 USA
基金
美国国家卫生研究院;
关键词
electron microscopy; gold nanoprobe; clustering; co-clustering; spatial statistics; Ripley statistic; Hopkins statistic;
D O I
10.1016/j.micron.2005.03.014
中图分类号
TH742 [显微镜];
学科分类号
摘要
The flow of information through a cell requires the constant remodeling of cell signaling networks. Thus, spatially and temporally resolved microscopy of signaling components is needed to understand the behavior of normal cells as well as to uncover abnormal behavior leading to human disease. Nanoprobe labeling and transmission electron microscopy of cytoplasmic face-up sheets of cell membrane have been developed as a high-resolution approach to map the interactions of proteins and lipid during cell signaling. Membrane sheets are labeled with 3-15 nm electron-dense probes for receptors, signaling proteins and lipids and micrographs record the distributions of the probes relative to each other and to surface features. Here, we establish computational methods to extract spatial coordinates of probes from micrographs, to analyze and statistically validate the clustering and co-clustering of these probes and to integrate results between experiments in order to establish the relative spatial distributions of single and multiple probes. Our analyses, and the resulting programs for automating data collection and for carrying out statistical and clustering analyses provide toolboxes specialized for the spatiotemporal analysis and modeling of signal transduction pathways. (c) 2005 Elsevier Ltd. All rights reserved.
引用
收藏
页码:14 / 34
页数:21
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