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Protein domain mapping by internal labeling and single particle electron microscopy.

ABSTRACT: In recent years, electron microscopy (EM) and single particle analysis have emerged as essential tools for investigating the architecture of large biological complexes. When high resolution is achievable, crystal structure docking and de-novo modeling allows for precise assignment of individual protein domain sequences. However, the achievable resolution may limit the ability to do so, especially when small or flexible complexes are under study. In such cases, protein labeling has emerged as an important complementary tool to characterize domain architecture and elucidate functional mechanistic details. All labeling strategies proposed to date are either focused on the identification of the position of protein termini or require multi-step labeling strategies, potentially interfering with the final labeling efficiency. Here we describe a strategy for determining the position of internal protein domains within EM maps using a recombinant one-step labeling approach named Efficient Mapping by Internal Labeling (EMIL). EMIL takes advantage of the close spatial proximity of the GFP's N- and C-termini to generate protein chimeras containing an internal GFP at desired locations along the main protein chain. We apply this method to characterize the subunit domain localization of the human Polycomb Repressive Complex 2.

SUBMITTER: Ciferri C

PROVIDER: S-EPMC4921062 | biostudies-literature | 2015 Nov

REPOSITORIES: biostudies-literature

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Protein domain mapping by internal labeling and single particle electron microscopy.

Ciferri Claudio C Lander Gabriel C GC Nogales Eva E

Journal of structural biology 20150930 2

In recent years, electron microscopy (EM) and single particle analysis have emerged as essential tools for investigating the architecture of large biological complexes. When high resolution is achievable, crystal structure docking and de-novo modeling allows for precise assignment of individual protein domain sequences. However, the achievable resolution may limit the ability to do so, especially when small or flexible complexes are under study. In such cases, protein labeling has emerged as an ...[more]

PMID: 26431894

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Project description:The structural complexity of nervous tissue makes it very difficult to unravel the connectivity between neural elements at different scales. Numerous methods are available to trace long-range projections at the light microscopic level, and to identify the actual synaptic connections at the electron microscopic level. However, correlating mesoscopic and nanoscopic scales in the same cell, cell population or brain region is a problematic, laborious and technically demanding task. Here we present an effective method for the 3D reconstruction of labeled subcellular structures at the ultrastructural level, after single-neuron labeling in fixed tissue. The brain is fixed by intracardial perfusion of aldehydes and thick vibratome sections (250 μm) are obtained. Single cells in these vibratome sections are intracellularly injected with horseradish peroxidase (HRP), so that the cell body and its processes can be identified. The thick sections are later flat-embedded in epoxy resin and re-sectioned into a series of thinner (7 μm) sections. The sections containing the regions of interest of the labeled cells are then imaged with automated focused ion beam milling and scanning electron microscopy (FIB-SEM), acquiring long series of high-resolution images that can be reconstructed, visualized, and analyzed in 3D. With this methodology, we can accurately select any cellular segment at the light microscopic level (e.g., proximal, intermediate or distal dendrites, collateral branches, axonal segments, etc.) and analyze its synaptic connections at the electron microscopic level, along with other ultrastructural features. Thus, this method not only facilitates the mapping of the synaptic connectivity of single-labeled neurons, but also the analysis of the surrounding neuropil. Since the labeled processes can be located at different layers or subregions, this method can also be used to obtain data on the differences in local synaptic organization that may exist at different portions of the labeled neurons.

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Dataset Information

Protein domain mapping by internal labeling and single particle electron microscopy.

Publications

Protein domain mapping by internal labeling and single particle electron microscopy.

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