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Chikara Sato

Publications and source records attributed to Chikara Sato.

13 recordsLinked to original sources
PubMed2006

A fully automatic 3D reconstruction method using simulated annealing enables accurate posterioric angular assignment of protein projections.

Single-particle analysis is a structure determining method using electron microscopic (EM) images, which does not require protein crystal. In this method, projections are picked up and used to reconstruct a three-dimensional (3D) structure. When the conical tilting method is not available, the particle images are usually classified and averaged to improve the signal-to-noise ratio. The Euler angles of these average images must be posteriorically assigned to create a primary 3D model. We developed a new, fully automatic unsupervised Euler angle assignment method, which does not require an initial 3D reference and which is applicable to asymmetric molecules. In this method, the Euler angle of each average image is initially set randomly and then automatically corrected in relation to those of the other averages by iterated optimizations using the Simulated Annealing (SA) algorithm. At each iteration, the 3D structure is reconstructed based on the current Euler angles and reprojected back in the average-input directions. A modified cross-correlation between each reprojection and its corresponding original average is then calculated. The correlations are summed as a total 3D echo-correlation score to evaluate the Euler angles at this iteration. Then, one of the projections is selected, its Euler angle is changed randomly, and the score is also calculated. Based on the score change, judgment of whether to accept or reject the new angle is made using the SA algorithm, which is introduced to overcome the local minimums. After a certain number of iterations of this process, the angles of all averages converge so as to create a reliable primary 3D model. This echo-correlated 3D reconstruction with simulated annealing also has potential for wide application to general 3D reconstruction from various types of 2D images.

Algorithms↗
PubMed2006

Three-dimensional structure of the gamma-secretase complex.

Gamma-secretase belongs to an atypical class of aspartic proteases that hydrolyzes peptide bonds within the transmembrane domain of substrates, including amyloid-beta precursor protein and Notch. gamma-Secretase is comprised of presenilin, nicastrin, APH-1, and PEN-2 which form a large multimeric membrane protein complex, the three-dimensional structure of which is unknown. To gain insight into the structure of this complex enzyme, we purified functional gamma-secretase complex reconstituted in Sf9 cells and analyzed it using negative stain electron microscopy and 3D reconstruction techniques. Analysis of 2341 negatively stained particle images resulted in the three-dimensional representation of gamma-secretase at a resolution of 48 angstroms. The structure occupies a volume of 560 x 320 x 240 angstroms and resembles a flat heart comprised of two oppositely faced, dimpled domains. A low density space containing multiple pores resides between the domains. Some of the dimples in the putative transmembrane region may house the catalytic site. The large dimensions are consistent with the observation that gamma-secretase activity resides within a high molecular weight complex.

Amyloid Precursor Protein Secretases↗
PubMed2005

Visualization of the trimeric P2X2 receptor with a crown-capped extracellular domain.

The P2X2 purinergic receptor permeates cationic ions in response to stimulation by ATP and mediates fast synaptic transmission. Here, we purified the P2X2 receptor using baculovirus-Sf9 cell expression system and observed its structure using electron microscopy. The FLAG-tagged P2X2 receptor, which has intact ion channel function, was purified to be a single peak by affinity purification and gel filtration chromatography. It was confirmed to be a trimer by introducing cross-linking. Negatively stained P2X2 protein images were homogeneous and picked up by automated pick-up programs, aligned, and classified using the modified growing neural gas network method. Similarly oriented projections were averaged to decrease the signal-to-noise ratio. These images demonstrate an inverted three-sided pyramid with the dimensions of 215 A in height and 200 A in side length. It is composed of a high-density trunk and a stain-permeable swollen extracellular domain of a crown-shaped structure. The internal cavities and constituent segments were clearly demonstrated in both the raw images and the averaged images. The threefold symmetrical top view demonstrates the first visual evidence of the trimeric composition of the P2X receptor family.

Animals↗
PubMed2005

The non-selective cation-permeable channel TRPC3 is a tetrahedron with a cap on the large cytoplasmic end.

TRPC3 plays important roles in neuronal differentiation and immune cell maturation by mediating the cationic current in response to phospholipase C activation, Ca2+ depletion, and diacylglycerol stimulation. Here, we purified the TRPC3 channel using a glycosylated tetramer and observed the structure using electron microscopy. Negatively stained specimens demonstrate homogeneous protein particles containing an internal cavity-like structure. These particle images were picked up by automated pick-up programs, aligned, and classified by the growing neural gas network method. Similarly oriented projections were averaged to decrease the signal-to-noise ratio. The averaged images progress from the top view to the side views, which are representative of their raw images. The top view confirmed the hypothesis of a four-domain structure, and the side view demonstrates a large cytoplasmic domain with a capped structure at the bottom, which is near a predicted locus of ion release. The total image of the protein is a blunt-edged trapezoid of 200 x 200 x 235 A. This large dimension of TRPC3 is also supported by the Stokes radius (92 A) obtained from gel filtration chromatography.

Chromatography, Gel↗
PubMed2004

Inositol 1,4,5-trisphosphate receptor contains multiple cavities and L-shaped ligand-binding domains.

Calcium concentrations are strictly regulated in all biological cells, and one of the key molecules responsible for this regulation is the inositol 1,4,5-trisphosphate receptor, which was known to form a homotetrameric Ca(2+) channel in the endoplasmic reticulum. The receptor is involved in neuronal transmission via Ca(2+) signaling and for many other functions that relate to morphological and physiological processes in living organisms. We analysed the three-dimensional structure of the ligand-free form of the receptor based on a single-particle technique using an originally developed electron microscope equipped with a helium-cooled specimen stage and an automatic particle picking system. We propose a model that explains the complex mechanism for the regulation of Ca(2+) release by co-agonists, Ca(2+), inositol 1,4,5-trisphosphate based on the structure of multiple internal cavities and a porous balloon-shaped cytoplasmic domain containing a prominent L-shaped density which was assigned by the X-ray structure of the inositol 1,4,5-trisphosphate binding domain.

Animals↗
PubMed2004

Auto-accumulation method using simulated annealing enables fully automatic particle pickup completely free from a matching template or learning data.

Single-particle analysis is a 3-D structure determining method using electron microscopy (EM). In this method, a large number of projections is required to create 3-D reconstruction. In order to enable completely automatic pickup without a matching template or a training data set, we established a brand-new method in which the frames to pickup particles are randomly shifted and rotated over the electron micrograph and, using the total average image of the framed images as an index, each frame reaches a particle. In this process, shifts are selected to increase the contrast of the average. By iterated shifts and further selection of the shifts, the frames are induced to shift so as to surround particles. In this algorithm, hundreds of frames are initially distributed randomly over the electron micrograph in which multi-particle images are dispersed. Starting with these frames, one of them is selected and shifted randomly, and acceptance or non-acceptance of its new position is judged using the simulated annealing (SA) method in which the contrast score of the total average image is adopted as an index. After iteration of this process, the position of each frame converges so as to surround a particle and the framed images are picked up. This method is the first unsupervised fully automatic particle picking method which is applicable to EM of various kinds of proteins, especially to low-contrasted cryo-EM protein images.

Algorithms↗
PubMed2003

Topology representing network enables highly accurate classification of protein images taken by cryo electron-microscope without masking.

In single-particle analysis, a three-dimensional (3-D) structure of a protein is constructed using electron microscopy (EM). As these images are very noisy in general, the primary process of this 3-D reconstruction is the classification of images according to their Euler angles, the images in each classified group then being averaged to reduce the noise level. In our newly developed strategy of classification, we introduce a topology representing network (TRN) method. It is a modified method of a growing neural gas network (GNG). In this system, a network structure is automatically determined in response to the images input through a growing process. After learning without a masking procedure, the GNG creates clear averages of the inputs as unit coordinates in multi-dimensional space, which are then utilized for classification. In the process, connections are automatically created between highly related units and their positions are shifted where the inputs are distributed in multi-dimensional space. Consequently, several separated groups of connected units are formed. Although the interrelationship of units in this space are not easily understood, we succeeded in solving this problem by converting the unit positions into two-dimensional (2-D) space, and by further optimizing the unit positions with the simulated annealing (SA) method. In the optimized 2-D map, visualization of the connections of units provided rich information about clustering. As demonstrated here, this method is clearly superior to both the multi-variate statistical analysis (MSA) and the self-organizing map (SOM) as a classification method and provides a first reliable classification method which can be used without masking for very noisy images.

Algorithms↗
PubMed2002

Substrate regulation of calcium binding in Ca2+-ATPase molecules of the sarcoplasmic reticulum. I. Effect of ATP.

The effect of ATP on calcium binding of the Ca2+-ATPase of the sarcoplasmic reticulum has not been clarified. By comparing the calcium dependence of the ATPase activity and of phosphorylation of the ATPase molecules with that of calcium binding in the absence of ATP, we show the existence of two types of regulatory site of the enzyme molecules at which ATP binding variously improves the calcium binding performance of the molecules depending on the aggregation state of the molecules and pH; the two regulatory sites bind ATP at submillimolar (0.25 mm) and millimolar (5 mm) ATP, respectively. The results are discussed based on a model of two conformational variants (A and B forms) of the chemically equivalent ATPase molecules (Nakamura, J., and Furukohri, T. (1994) J. Biol. Chem. 269, 30818-30821). For example, in the sarcoplasmic reticulum membrane at pH 7.40, submillimolar ATP converted the calcium binding manner of the A form from noncooperative (Hill number (n(H)) of approximately 1) to cooperative (n(H) approximately 2), concurrent with a decrease in the apparent calcium affinity (K(0.5)) from 2-6 to 0.1-0.3 microm. The binding of the A form became almost the same as that of the B form (n(H) approximately 2, K(0.5) approximately 0.2 microm), which was not affected by ATP. Millimolar ATP further decreased the K(0.5) of the cooperative binding of the two forms to approximately 0.05 microm. Regulation of the calcium binding performance by ATP is discussed in terms of monomeric and oligomeric pathway models.

Animals↗
PubMed2002

Substrate regulation of calcium binding in Ca2+-ATPase molecules of the sarcoplasmic reticulum. II. Effect of CTP, GTP, ITP, and UTP.

To examine the effect of CTP, GTP, ITP, and UTP on calcium binding of Ca2+-ATPase molecules of the sarcoplasmic reticulum, the calcium dependence of the Ca2+-activated hydrolysis activities of these NTPs of the enzyme molecules was examined by comparison with that of calcium binding of the molecules in the absence of the NTPs at pH 7.40. In the sarcoplasmic reticulum membrane, CTP, GTP, and ITP did not affect the noncooperative (Hill value (n(H)) of approximately 1, apparent calcium affinity (K(0.5)) of 2-6 microm)) and cooperative (n(H) approximately 2, K(0.5) approximately 0.2 microm) calcium binding of the molecules, whereas UTP caused the molecules to highly cooperatively (n(H) approximately 4) bind calcium ions with a lowered K(0.5) of approximately 0.04 microm. When the enzyme molecules were solubilized with detergent, all of these NTPs reversibly degraded the calcium affinity of the molecule (from K(0.5) = 3-5 to >40 microm), although the effect of the NTPs on the negatively cooperative manner (n(H) approximately 0.5) of calcium binding was not experimentally obtained. Taking into account the first part of this study (Nakamura, J., Tajima, G., Sato, C., Furukohri, T., and Konishi, K. (2002) J. Biol. Chem. 277, 24180-24190) showing the improving effect of ATP on calcium binding of the membranous and solubilized molecules, the results show that ATP is the only intrinsic substrate for the enzyme molecule. This NTP regulation is discussed in terms of the oligomeric structure of the molecules.

Animals↗
PubMed2002

A phase I/II study of carboplatin and paclitaxel in patients with epithelial ovarian cancer.

BACKGROUND: This study was conducted to investigate the recommended dose of paclitaxel for use in combination with a fixed dose of carboplatin and to evaluate the toxicity and efficacy of carboplatin-paclitaxel combination chemotherapy in patients with epithelial ovarian cancer. METHODS: One hundred and ten patients were enrolled in the Phase I/II study and 97 patients were evaluated for further analysis, excluding 13 ineligible patients or patients with infringement of protocol: 15 patients for the Phase I and 82 for the Phase II study. In the Phase I trial, we studied dose escalation using a carboplatin dose of AUC 5 and paclitaxel levels of 150, 175 and 200 mg/m(2). The grades of toxicity of the regimen of all patients enrolled in the Phase II study (n = 82), the progression-free survival time (PFS) of optimal-debulked patients and complete responders (n = 62) and the response rate of suboptimal-debulked patients (n = 39) were investigated. RESULTS: After observing grade 4 neutropenia in four of six patients in the paclitaxel 200 mg/m(2) administration group, we chose 175 mg/m(2) as the recommended dose of paclitaxel in this regimen. At this dose, the median of PFS and response rate were 432 days (range, 19-907 days) and 66.7%, respectively. CONCLUSION: Combination chemotherapy using paclitaxel 175 mg/m(2) and carboplatin AUC 5 is very well tolerated and highly effective for the treatment of ovarian cancer.

Adult↗
PubMedDate not supplied

Automatic particle pickup method using a neural network has high accuracy by applying an initial weight derived from eigenimages: a new reference free method for single-particle analysis.

The single-particle analysis is a structure-determining method for electron microscope (EM) images which does not require crystal. In this method, the projections are picked up and averaged by the images of similar Euler angles to improve the signal to noise ratio, and then create a 3-D reconstruction. The selection of a large number of particles from the cryo-EM micrographs is a pre-requisite for obtaining a high resolution. To pickup a low-contrast cryo-EM protein image, we have recently found that a three-layer pyramidal-type neural network is successful in detecting such a faint image, which had been difficult to detect by other methods. The connection weights between the input and hidden layers, which work as a matching filter, have revealed that they reflect characters of the particle projections in the training data. The images stored in terms of the connection weights were complex, more similar to the eigenimages which are created by the principal component analysis of the learning images rather than to the averages of the particle projections. When we set the initial learning weights according to the eigenimages in advance, the learning period was able to be shortened to less than half the time of the NN whose initial weights had been set randomly. Further, the pickup accuracy increased from 90 to 98%, and a combination of the matching filters were found to work as an integrated matching filter there. The integrated filters were amazingly similar to averaged projections and can be used directly as references for further two-dimensional averaging. Therefore, this research also presents a brand-new reference-free method for single-particle analysis.

Animals↗