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Biomedical subjects

M van Heel

Publications and source records attributed to M van Heel.

14 recordsLinked to original sources

A new family of powerful multivariate statistical sequence analysis techniques.

A novel multivariate statistical approach is presented for extracting and exploiting intrinsic information present in our ever-growing sequence data banks. The information extraction from the sequences avoids the pitfalls of intersequence alignment by analyzing secondary invariant functions derived from the sequences in the data bank rather than the sequences themselves. Such typical invariant function is a 20 x 20 histogram of occurrences of amino acid pairs in a given sequence or fragment thereof. To illustrate the potential of the approach an analysis of 10,000 protein sequences from the National Biomedical Research Foundation Protein Identification Resource is presented, whose analysis already reveals great biological detail. For example, zeta-hemoglobin is found to lie close to amphibian and fish chi-hemoglobin which, in turn, is an important clue to the physiological function of this mammalian early embryonic hemoglobin. The multivariate statistical framework presented unifies such apparently unrelated issues as phylogenetic comparisons between a set of sequences and distance matrices between the constituents of the biological sequences. The Multivariate Statistical Sequence Analysis (MSSA) principles can be used for a wide spectrum of sequence analysis problems such as: assignment of family memberships to new sequences, validation of new incoming sequences to be entered into the database, prediction of structure from sequence, discrimination of coding from non-coding DNA regions, and automatic generation of an atlas of protein or DNA sequences. The MSSA techniques represent a self-contained approach to learning continuously and automatically from the growing stream of new sequences. The MSSA approach is particularly likely to play a significant role in major sequencing efforts such as the human genome project.

Amino Acid Sequence

Characteristic views of Escherichia coli RNA polymerase core enzyme in the scanning transmission electron microscope.

Eight characteristic views of Escherichia coli RNA polymerase core enzyme are presented which were found using multivariate statistical image processing of about 1000 individual molecular images. The data set was obtained from negatively stained specimens with a scanning transmission electron microscope (STEM) operated in dark field mode. The molecular projections were found to a resolution of around 30 A, thus visualizing new structural details of the core enzyme. An approximate twofold axis seems to relate the beta to the beta' subunit as well as both alpha units to each other.

DNA-Directed RNA Polymerases

Fine structure of mitochondrial helical filaments revealed by computer image analyses.

In order to clarify the fine structure of the helical filaments appearing in the outer compartment of the mitochondria, Sprague-Dawley strain male rats were given 30% ethanol in drinking water for 90 days. The hepatic tissues of these animals were fixed with perfusion of glutaraldehyde via the portal vein followed by immersion in OsO4 and were then routinely processed for preparation of thin sections. Transmission electron micrographs of the sections were used for computer image analyses of the intramitochondrial helical filaments. With the application of the image analysis, it was revealed that the helical filaments show a right-hand rotating helix of 4.3 nm in thickness, 13.2 nm in diameter of the helix, and 15.7 nm in pitch. Also, with the multivariate statistical analysis and classification method of the IMAGIC image processing system, it was suggested in the classified images that the helical filament has substructures of rod-shaped particles of 4.3 nm in diameter. These particles are considered to be connected to each other and forming the helical structure of the filament.

Animals

Comments on: 'Classification of images of biomolecular assemblies: a study of ribosomes and ribosomal subunits of Escherichia coli'.

In a recent paper Frank et al. (1988; J. Microsc. 150, 99-115) proposed the use of a hybrid clustering technique to sort macromolecular images. In contrast to the claims made in that paper, however, the proposed technique is less sophisticated than the enhanced hierarchical ascendant classification technique proposed by us a few years earlier. The hybrid approach will lead to partitions which are less optimal in terms of minimizing the total intra-class variance for a predetermined number of classes, irrespective of whether the data show distinct clusters or, rather, possess a quasi-continuous intrinsic structure.

Algorithms

Densely packed beta-structure at the protein-lipid interface of porin is revealed by high-resolution cryo-electron microscopy.

Porin is an integral membrane protein that forms channels across the outer membrane of Escherichia coli. Electron microscopic studies of negatively stained two-dimensional porin crystals have shown three stain accumulations per porin trimer, revealing the locations of pores spanning the membrane. In this study, reconstituted porin lattices embedded in glucose were investigated using the low-dose technique on a cryo-electron microscope equipped with a helium-cooled superconducting objective lens. The specimen temperature was maintained at 5 K to yield an improved microscopic and specimen stability. Under these conditions, we obtained for the first time electron diffraction patterns from porin lattices to a resolution of 3.2 A and images showing optical diffraction up to a resolution of 4.9 A. Applying correlation averaging techniques to the digitized micrographs, we were able to reconstruct projected images of the porin trimer to a resolution of up to 3.5 A. In the final projection maps, amplitudes from electron diffraction and phases from these images were combined. The predominant feature is a high-density narrow band (about 6 A in thickness) that delineates the outer perimeter of the trimer. Since the molecule consists of almost exclusively beta-sheet structure, as revealed by spectroscopic data, we conclude that this band is a cylindrical beta-pleated sheet crossing the membrane nearly perpendicularly to its plane. Another intriguing finding is a low-density area (about 70 A2) situated in the centre of the trimer.

Bacterial Outer Membrane Proteins

Molecular shape of Lumbricus terrestris erythrocruorin studied by electron microscopy and image analysis.

The molecular structure of erythrocruorin (hemoglobin) from Lumbricus terrestris has been studied by electron microscopy of negatively stained particles. Over 1000 molecular projections were selected from a number of electron micrographs and were then classified by multivariate statistical image-processing techniques. The two main groups of top and side views were each subdivided into smaller classes with significantly different features. About half of the top-view projections exhibit perfect hexagonal symmetry at the current resolution of about 2.0 nm, while the other top views lack this symmetry, probably as a result of tilting of the molecules relative to the carbon support film. The side views were separated into two 'families', each associated with the two different stable side-view positions the molecules can take. From these narrow stable side-views, the two families of projections are, again, generated by tilting. The symmetry properties of the three non-tilted projections show that Lumbricus erythrocruorin has a pointgroup D6 (622) symmetry rather than D3 (32).

Animals

Packing of the 30 nm chromatin fiber in the human metaphase chromosome.

The human genetic material is packed hierarchically within the metaphase chromosome: the DNA molecule together with histone proteins form 11 nm diameter nucleosomes, which are then ordered into the 30 nm thick chromatin fiber. Little is known about the packing of this fiber within the chromosome. We have developed a tracking algorithm with which we followed its path within a three-dimensional reconstruction of a human chromosome computed from a series of electron micrographic projections. Fiber segments were seen to form loops of 100-350 nm diameter. Our observations indicate that these loops--which themselves show no preferred orientation--are organised into regions of roughly 200 nm axial extent.

Chromatin

Biological macromolecules explored by pattern recognition.

Electron microscopy represents a very direct method for determining the structure of biological macromolecules, and complements both the well-established technique of X-ray crystallography (c.f. Blundell and Johnson, 1976) and the still in-its-infancy field of structure prediction (Kolata, 1986, Blundell et al., 1987). Our research has involved establishing a precise methodology based on computerised image analysis and pattern recognition to enhance the visibility of statistically significant structural features in electron images of isolated macromolecules. Our newly developed technique of angular reconstitution enables us to orient in three dimensions the commonly occurring projection forms of the macromolecules and thus perform a 3D reconstruction. In this paper, we describe the steps involved in determining the structure of a biological macromolecule by electron microscopy and image analysis, including pattern recognition and three dimensional reconstruction.

Image Processing, Computer-Assisted

Three-dimensional reconstruction of a human metaphase chromosome from electron micrographs.

A complete human metaphase chromosome has been reconstructed from a series of electron microscopical projections obtained by tilting the specimen stage at 3 degree intervals from -60 to +60 degrees. The reconstructed structure is about 3.0 microns long, 1.6 micron wide, and 0.8 micron thick. The mass distribution was fairly homogeneous within the chromatids and neither a hollow nor a dense core was observed. The distribution and course of fibers observed are most consistent with a looping model of chromosome structure.

Algorithms

Characteristic views of prokaryotic 50S ribosomal subunits.

Multivariate statistical analysis and classification techniques are powerful tools in sorting noisy electron micrographs of single particles according to their principal features, enabling one to form average images with an enhanced signal-to-noise ratio and a better reproducible resolution. We apply this methodology here to determining the characteristic views of the large (50S) ribosomal subunits from the eubacterium Escherichia coli and the archaebacteria Methanococcus vannielii, Sulfolobus solfataricus, and Halobacterium marismortui. Average images were obtained of the subunit in the common crown and kidney projections, but views of the particle in orientations intermediate between these two extremes were also elucidated for all species. These averages show reproducible detail of up to 2.0 nm resolution, thus enabling the visualization and interspecies comparison of many structural features as a first step toward comparing the actual three-dimensional structures. Our results disprove evolutionary lineages recently postulated on the basis of electron microscopical images of ribosomal subunits.

Archaea

Characteristic views of E. coli and B. stearothermophilus 30S ribosomal subunits in the electron microscope.

Large sets of electron microscopic images of the 30S ribosomal subunits of Bacillus stearothermophilus (914 molecules) and Escherichia coli (422 molecules) were analysed with image processing techniques. Using computer alignment and a new multivariate statistical classification scheme, three predominant views of the subunit were found for both species. These views, which together account for approximately 90% of the population of images, were determined to a reproducible resolution of up to 1.7 nm, thus elucidating many new structural details. The angular spread of the molecular orientations around the three main stable positions is remarkably small (less than 8 degrees). Some of the current models for the small ribosomal subunit are incompatible with our new results.

Escherichia coli

Invariant classification of molecular views in electron micrographs.

Biological macromolecules can exhibit many different orientations in electron microscopical preparations. In particular in vitreous-ice-embedded specimens, the number of different views can be high. Existing techniques of analysis require the alignment of the molecular views relative to one or more reference images with cross-correlation ("matched filtering") techniques and are somewhat unsatisfactory because of the high noise level and the large number of different views in such images. We here propose a method in which first rotation-, translation- and mirror-invariant functions are derived from the large set of input images. These functions are subsequently classified automatically using multivariate statistical classification techniques. The different molecular views in the images can therewith be found without bias, provided that a statistically significant number of copies of the views are present in the data set. The basic ideas are exemplified with realistic model data.

Fourier Analysis