Spiral Coating of the Endothelial Caveolar Membranes as Revealed by Electron Tomography and Template Matching

Caveolae are invaginations of the plasma membrane involved in multiple cellular processes, including transcytosis. In this paper we present an extensive 3-D electron tomographic study of the endothelial caveolar system in situ . Analysis of large cellular volumes of (high-pressure frozen, freeze-substituted and epon-embedded) human umbilical vein endothelial cells (HUVECs) provided a notable view on the architecture of the caveolar system that comprises – as confirmed by 3-D immunolabeling for caveolin of 'intact' cells – bona fide caveolae, free plasmalemmal vesicles, racemose invaginations and free multi-caveolar bodies. Application of template matching to tomograms allowed the 3-D localization of caveolar membrane coatings in a robust manner. In this way we observed that bona fide endothelial caveolae, cryofixed and embedded in their cellular context, show a spiral organization of the coating as shown in the past for chemically fixed and freeze-etched caveolae from fibroblasts. Meticulous 3-D analysis further revealed that the coatings are distributed in triads of spirals over the caveolar bulb and neck. Remarkably, this coating distribution is consistently present over the membranes of the other members of the caveolar system in HUVECs. The novel observations that we present clarify the ultrastructural complexity of the 'intact' caveolar system, setting a detailed morphological basis for its functional diversity.     

3D Ultrastructural Organization of Whole Chlamydomonas reinhardtii Cells Studied by Nanoscale Soft X-Ray Tomography

The complex architecture of their structural elements and compartments is a hallmark of eukaryotic cells. The creation of high resolution models of whole cells has been limited by the relatively low resolution of conventional light microscopes and the requirement for ultrathin sections in transmission electron microscopy. We used soft x-ray tomography to study the 3D ultrastructural organization of whole cells of the unicellular green alga Chlamydomonas reinhardtii at unprecedented spatial resolution. Intact frozen hydrated cells were imaged using the natural x-ray absorption contrast of the sample without any staining. We applied different fiducial-based and fiducial-less alignment procedures for the 3D reconstructions. The reconstructed 3D volumes of the cells show features down to 30 nm in size. The whole cell tomograms reveal ultrastructural details such as nuclear envelope membranes, thylakoids, basal apparatus, and flagellar microtubule doublets. In addition, the x-ray tomograms provide quantitative data from the cell architecture. Therefore, nanoscale soft x-ray tomography is a new valuable tool for numerous qualitative and quantitative applications in plant cell biology.     

Electron tomography of ER, Golgi and related membrane systems

A primary goal of cell biology is to uncover the mechanisms of cellular processes. A detailed structural understanding of the organelles and subcellular structures involved in these processes has often formed the foundation for the elucidation of their function. Electron tomography is a powerful technique for characterizing subcellular architecture and structural details in three dimensions. Electron tomography of cryofixed, freeze-substituted, and plastic-embedded samples allows three-dimensional visualization and display of dynamic, pleiomorphic structures at a resolution of approximately 7 nm in cell volumes up to approximately 25 microm(3). In this review, we describe the electron tomography protocols that we have employed to determine the 3D architecture of complex cellular structures, thereby gaining insights into their functional organization. We stress the need for studying specimens preserved by cryofixation methods to obtain accurate information on the geometry and size of cellular structures. We also discuss some of the challenges associated with the staining of certain types of membranes. Finally, we provide examples of how tomographic data can be analyzed, dissected, and displayed using the tools built into the IMOD software package.     

A 3D image filter for parameter-free segmentation of macromolecular structures from electron tomograms

3D image reconstruction of large cellular volumes by electron tomography (ET) at high (≤ 5 nm) resolution can now routinely resolve organellar and compartmental membrane structures, protein coats, cytoskeletal filaments, and macromolecules. However, current image analysis methods for identifying in situ macromolecular structures within the crowded 3D ultrastructural landscape of a cell remain labor-intensive, time-consuming, and prone to user-bias and/or error. This paper demonstrates the development and application of a parameter-free, 3D implementation of the bilateral edge-detection (BLE) algorithm for the rapid and accurate segmentation of cellular tomograms. The performance of the 3D BLE filter has been tested on a range of synthetic and real biological data sets and validated against current leading filters-the pseudo 3D recursive and Canny filters. The performance of the 3D BLE filter was found to be comparable to or better than that of both the 3D recursive and Canny filters while offering the significant advantage that it requires no parameter input or optimisation. Edge widths as little as 2 pixels are reproducibly detected with signal intensity and grey scale values as low as 0.72% above the mean of the background noise. The 3D BLE thus provides an efficient method for the automated segmentation of complex cellular structures across multiple scales for further downstream processing, such as cellular annotation and sub-tomogram averaging, and provides a valuable tool for the accurate and high-throughput identification and annotation of 3D structural complexity at the subcellular level, as well as for mapping the spatial and temporal rearrangement of macromolecular assemblies in situ within cellular tomograms.     

3D tomography reveals connections between the phagophore and endoplasmic reticulum

Autophagosomes have been reported to form in the vicinity of the endoplasmic reticulum (ER). In many cases, the phagophore membrane is observed between two cisternae of rough ER, but it is not known whether these two membranes are directly connected. To investigate the relationship of the phagophore membrane and the ER, we used electron microscopic tomography of serum and amino acid starved normal rat kidney cells. The cells were fixed in glutaraldehyde and reduced osmium tetroxide and embedded in Epon. Dual axis tilt image series were acquired from two successive 250-nm sections. To analyze the three-dimensional (3D) morphology of phagophores and the associated rough ER, 3D tomograms were used to model the ER and phagophore membranes. The tomographic reconstructions revealed connections between the phagophore/autophagosome membrane and the closely located ER cisternae, especially with the ER located inside the autophagosome. The connections were typically formed by narrow extensions from the phagophore/autophagosome to the ER. This finding has potential implications on the origin of autophagosome membranes, and on the mechanism of phagophore membrane extension. In addition, we observed lipid droplets in very close contact with the phagophores/autophagosomes.     

Electron tomography of vitreous sections from cultured mammalian cells

Cryo-electron tomography of appropriately thin, frozen-hydrated biological specimens has excellent potential for investigating the 3D macromolecular architecture of eukaryotic cells and tissues. Since cardiomyocytes are too thick to be visualised in an intact state, we grew immortalised cell line HL-1 to sub-confluency and harvested the cells by enzymatic detachment prior to hyperbaric freezing, ultramicrotomy, and tomography. We improved the efficiency of tomographic acquisition from vitreous cryosections by implementing two new features: (1) fluorescence microscopy at cryogenic temperatures to search for features of interest without expending any of the tolerable electron dose on secondary (non-imaging) tasks, and (2) the use of colloidal gold as fiducial markers. Vital fluorescent staining and subsequent cryo-fluorescence microscopy of vitreous sections were used to localise mitochondria lying in positions suitable for acquiring tilt series, taking into account section flatness, presence of contamination and proximity to grid bars. To provide a simple and robust means of aligning tomograms, we developed a universally applicable protocol for depositing colloidal gold onto vitreous sections, analogous to the method for applying quantum dots described by Masich et al. [Masich, S., Östberg, T., Norlén, L., Shupliakov, O., Daneholt, B., 2006. A procedure to deposit fiducial markers on vitreous cryo-sections for cellular tomography. J. Struct. Biol. 156, 461–468]. Tomograms of thin sections (nominal thickness 65–85 nm) of cardiac mitochondria revealed the interconnectivity of cristae and junctions with the inner mitochondrial membrane. In some cases, ATP synthases could be identified without ambiguity. These findings confirm the feasibility of investigating the structural biology of mammalian cells in three dimensions and at a resolution of 6–8 nm.     

The discriminative bilateral filter: an enhanced denoising filter for electron microscopy data

Advances in three-dimensional (3D) electron microscopy (EM) and image processing are providing considerable improvements in the resolution of subcellular volumes, macromolecular assemblies and individual proteins. However, the recovery of high-frequency information from biological samples is hindered by specimen sensitivity to beam damage. Low dose electron cryo-microscopy conditions afford reduced beam damage but typically yield images with reduced contrast and low signal-to-noise ratios (SNRs). Here, we describe the properties of a new discriminative bilateral (DBL) filter that is based upon the bilateral filter implementation of Jiang et al. (Jiang, W., Baker, M.L., Wu, Q., Bajaj, C., Chiu, W., 2003. Applications of a bilateral denoising filter in biological electron microscopy. J. Struc. Biol. 128, 82-97.). In contrast to the latter, the DBL filter can distinguish between object edges and high-frequency noise pixels through the use of an additional photometric exclusion function. As a result, high frequency noise pixels are smoothed, yet object edge detail is preserved. In the present study, we show that the DBL filter effectively reduces noise in low SNR single particle data as well as cellular tomograms of stained plastic sections. The properties of the DBL filter are discussed in terms of its usefulness for single particle analysis and for pre-processing cellular tomograms ahead of image segmentation.     

Nucleosomes stacked with aligned dyad axes are found in native compact chromatin in vitro

In this study, electron tomograms of plunge-frozen isolated chromatin in both open and compacted form were recorded. We have resolved individual nucleosomes in these tomograms in order to provide a 3D view of the arrangement of nucleosomes within chromatin fibers at different compaction states. With an optimized template matching procedure we obtained accurate positions and orientations of nucleosomes in open chromatin in "low-salt" conditions (5 mM NaCl). The mean value of the planar angle between three consecutive nucleosomes is 70°, and the mean center-to-center distance between consecutive nucleosomes is 22.3 nm. Since the template matching approach was not effective in crowded conditions, for nucleosome detection in compact fibers (40 mM NaCl and 1 mM MgCl(2)) we developed the nucleosome detection procedure based on the watershed algorithm, followed by sub-tomogram alignment, averaging, and classification by Principal Components Analysis. We find that in compact chromatin the nucleosomes are arranged with a predominant face-to-face stacking organization, which has not been previously shown for native isolated chromatin. Although the path of the DNA cannot be directly seen in compact conditions, it is evident that the nucleosomes stack with their dyad axis aligned in forming a "double track" conformation which is a consequence of DNA joining adjacent nucleosome stacks. Our data suggests that nucleosome stacking is an important mechanism for generating chromatin compaction in vivo.     

Capturing the geometry,function, and evolution of enzymes with 3D templates

Structural templates are 3D signatures representing protein functional sites, such as ligand binding cavities, metal coordination motifs, or catalytic sites. Here we explore methods to generate template libraries and algorithms to query structures for conserved 3D motifs. Applications of templates are discussed, as well as some exemplar cases for examining evolutionary links in enzymes. We also introduce the concept of using more than one template per structure to represent flexible sites, as an approach to better understand catalysis through snapshots captured in enzyme structures. Functional annotation from structure is an important topic that has recently resurfaced due to the new more accurate methods of protein structure prediction. Therefore, we anticipate that template‐based functional site detection will be a powerful tool in the task of characterizing a vast number of new protein models.     

Three-dimensional localization of ultrasmall immuno-gold labels by HAADF-STEM tomography

The localization of scarce antigens in thin sections of biological material can be accomplished by pre-embedment labeling with ultrasmall immuno-gold labels. Moreover, with this method, labeling is not restricted to the section surface but occurs throughout the section volume. Thus, when combined with electron tomography, antigens can be localized in three dimensions in relation to the 3D (three-dimensional) ultrastructure of the cell. However, for visualization in a transmission electron microscope, these labels need to be enlarged by silver or gold enhancement. The increase in particle size reduces the resolution of the antigen detection and the large particles obscure ultrastructural details in the tomogram. In this paper we show for the first time that these problems can be avoided and that ultrasmall gold labels can be localized in three dimensions without the need for gold or silver enhancement by using HAADF-STEM (high angular annular dark-field-scanning transmission electron microscopy) tomography. This method allowed us to three-dimensionally localize Aurion ultrasmall goat anti-rabbit immuno-gold labels on sections of Epon-embedded, osmium-uranium-lead-stained biological material. Calculations show that a 3D reconstruction obtained from HAADF-STEM projection images can be spatially aligned to one obtained from transmission electron microscopy (TEM) projections with subpixel accuracy. We conclude that it is possible to combine the high-fidelity structural information of TEM tomograms with the ultrasmall label localization ability of HAADF-STEM tomograms.     

Three-dimensional imaging of biological complexity

Over the past 5 years, thanks to advances in both instrumentation and computational speed, three-dimensional imaging techniques using the electron microscope have been greatly improved in two areas: electron tomography of cell organelles or cell sections and reconstruction of macromolecules from single particles. Ice embedment has brought a breakthrough in the degree of preservation of specimens under close-to-native conditions. The current challenge is to push the resolution of electron tomographic imaging to a point where macromolecular signatures can be recognized within the cellular context. We show first progress toward this goal by examples in two areas of application: the structure of the muscle triad junction and the architecture and fine structure of mitochondria. As techniques of cryo-microtomy are perfected, we hope to be able to apply tomography to high-pressure frozen sections of tissue.     

A Mixture of Paraphenylenediamine and Imidazole: Its Effect on the Extraction of Lipid Droplets during Electron Microscopy Staining

To prevent extraction of lipids during a double staining procedure for electron microscopy, the tissue slices, double fixed with glutaraldehyde and osmium tetroxide to preserve microvesicular lipid droplets in the cytoplasm, were immersed for 2 hr in veronal buffer (pH 9.0) containing 0.5% p-phenylenediamine and 0.5% imidazole immediately after postfixation. The stained sections of the immersed tissue slice showed blackened, well circumscribed lipid droplets similar to those in corresponding unstained sections. Moreover, highly contrasting features of the cellular architecture could be visualized with the double stained, as well as routinely prepared sections.     

Automated segmentation of electron tomograms for a quantitative description of actin filament networks

Cryo-electron tomography allows to visualize individual actin filaments and to describe the three-dimensional organization of actin networks in the context of unperturbed cellular environments. For a quantitative characterization of actin filament networks, the tomograms must be segmented in a reproducible manner. Here, we describe an automated procedure for the segmentation of actin filaments, which combines template matching with a new tracing algorithm. The result is a set of lines, each one representing the central line of a filament. As demonstrated with cryo-tomograms of cellular actin networks, these line sets can be used to characterize filament networks in terms of filament length, orientation, density, stiffness (persistence length), or the occurrence of branching points.     

Recurrent use of evolutionary importance for functional annotation of proteins based on local structural similarity

The annotation of protein function has not kept pace with the exponential growth of raw sequence and structure data. An emerging solution to this problem is to identify 3D motifs or templates in protein structures that are necessary and sufficient determinants of function. Here, we demonstrate the recurrent use of evolutionary trace information to construct such 3D templates for enzymes, search for them in other structures, and distinguish true from spurious matches. Serine protease templates built from evolutionarily important residues distinguish between proteases and other proteins nearly as well as the classic Ser-His-Asp catalytic triad. In 53 enzymes spanning 33 distinct functions, an automated pipeline identifies functionally related proteins with an average positive predictive power of 62%, including correct matches to proteins with the same function but with low sequence identity (the average identity for some templates is only 17%). Although these template building, searching, and match classification strategies are not yet optimized, their sequential implementation demonstrates a functional annotation pipeline which does not require experimental information, but only local molecular mimicry among a small number of evolutionarily important residues.     

A microaliquoting technique for precise histological annotation and optimization of cell content in frozen tissue specimens

Knowledge of the exact cell content of frozen tissue samples is of growing importance in genomic research. We developed a microaliquoting technique to measure and optimize the cell composition of frozen tumor specimens for molecular studies. Frozen samples of 31 mesothelioma cases were cut in alternating thin and thick sections. Thin sections were stained and evaluated visually. Thick sections, i.e., microaliquots, were annotated using bordering stained sections. A range of cellular heterogeneity was observed among and within samples. Precise annotation of samples was obtained by integration and compared to conventional single face and “front and back” section estimates of cell content. Front and back estimates were more highly correlated with block annotation by microaliquoting than were single face estimates. Both methods yielded discrepant estimates, however, and for some studies may not adequately account for the heterogeneity of mesothelioma or other malignancies with variable cellular composition. High yield and quality RNA was extracted from precision annotated, tumor-enriched subsamples prepared by combining individual microaliquots with the highest tumor cellularity estimates. Microaliquoting provides accurate cell content annotation and permits genomic analysis of enriched subpopulations of cells without fixation or amplification.     

A microaliquoting technique for precise histological annotation and optimization of cell content in frozen tissue specimens

Knowledge of the exact cell content of frozen tissue samples is of growing importance in genomic research. We developed a microaliquoting technique to measure and optimize the cell composition of frozen tumor specimens for molecular studies. Frozen samples of 31 mesothelioma cases were cut in alternating thin and thick sections. Thin sections were stained and evaluated visually. Thick sections, i.e., microaliquots, were annotated using bordering stained sections. A range of cellular heterogeneity was observed among and within samples. Precise annotation of samples was obtained by integration and compared to conventional single face and “front and back” section estimates of cell content. Front and back estimates were more highly correlated with block annotation by microaliquoting than were single face estimates. Both methods yielded discrepant estimates, however, and for some studies may not adequately account for the heterogeneity of mesothelioma or other malignancies with variable cellular composition. High yield and quality RNA was extracted from precision annotated, tumor-enriched subsamples prepared by combining individual microaliquots with the highest tumor cellularity estimates. Microaliquoting provides accurate cell content annotation and permits genomic analysis of enriched subpopulations of cells without fixation or amplification.     

Segmentation of electron tomographic data sets using fuzzy set theory principles

In electron tomography the reconstructed density function is typically corrupted by noise and artifacts. Under those conditions, separating the meaningful regions of the reconstructed density function is not trivial. Despite development efforts that specifically target electron tomography manual segmentation continues to be the preferred method. Based on previous good experiences using a segmentation based on fuzzy logic principles (fuzzy segmentation) where the reconstructed density functions also have low signal-to-noise ratio, we applied it to electron tomographic reconstructions. We demonstrate the usefulness of the fuzzy segmentation algorithm evaluating it within the limits of segmenting electron tomograms of selectively stained, plastic embedded spiny dendrites. The results produced by the fuzzy segmentation algorithm within the framework presented are encouraging.     

Evaluation of denoising algorithms for biological electron tomography

Tomograms of biological specimens derived using transmission electron microscopy can be intrinsically noisy due to the use of low electron doses, the presence of a "missing wedge" in most data collection schemes, and inaccuracies arising during 3D volume reconstruction. Before tomograms can be interpreted reliably, for example, by 3D segmentation, it is essential that the data be suitably denoised using procedures that can be individually optimized for specific data sets. Here, we implement a systematic procedure to compare various nonlinear denoising techniques on tomograms recorded at room temperature and at cryogenic temperatures, and establish quantitative criteria to select a denoising approach that is most relevant for a given tomogram. We demonstrate that using an appropriate denoising algorithm facilitates robust segmentation of tomograms of HIV-infected macrophages and Bdellovibrio bacteria obtained from specimens at room and cryogenic temperatures, respectively. We validate this strategy of automated segmentation of optimally denoised tomograms by comparing its performance with manual extraction of key features from the same tomograms.     

Size distribution of native cytosolic proteins of Thermoplasma acidophilum

We used molecular sieve chromatography in combination with LC‐MS/MS to identify protein complexes that can serve as templates in the template matching procedures of visual proteomics approaches. By this method the sample complexity was lowered sufficiently to identify 464 proteins and – on the basis of size distribution and bioinformatics analysis – 189 of them could be assigned as subunits of macromolecular complexes over the size of 300 kDa. From these we purified six stable complexes of Thermoplasma acidophilum whose size and subunit composition – analyzed by electron microscopy and MALDI‐TOF‐MS, respectively – verified the accuracy of our method.