PubMed Health⌕ Search

Biomedical subjects

James Pulokas

Publications and source records attributed to James Pulokas.

7 recordsLinked to original sources

Automated cryoEM data acquisition and analysis of 284742 particles of GroEL.

One of the goals in developing our automated electron microscopy data acquisition system, Leginon, was to improve both the ease of use and the throughput of the process of acquiring low dose images of macromolecular specimens embedded in vitreous ice. In this article, we demonstrate the potential of the Leginon system for high-throughput data acquisition by describing an experiment in which we acquired images of more than 280,000 particles of GroEL in a single 25 h session at the microscope. We also demonstrate the potential for an automated pipeline for molecular microscopy by showing that these particles can be subjected to completely automated procedures to reconstruct a three-dimensional (3D) density map to a resolution better than 8 A. In generating the 3D maps, we used a variety of metadata associated with the data acquisition and processing steps to sort and select the particles. These metadata provide a number of insights into factors that affect the quality of the acquired images and the resulting reconstructions. In particular, we show that the resolution of the reconstructed 3D density maps improves with decreasing ice thickness. These data provide a basis for assessing the capabilities of high-throughput macromolecular microscopy.

Chaperonin 60↗

Does contamination buildup limit throughput for automated cryoEM?

The development of automated systems for data acquisition in cryo electron microscopy has enabled the possibility of acquiring very large number of images from a single specimen grid. We have demonstrated that over images of 250,000 single particles can be acquired in a 24 h period. This has raised questions as to whether contamination buildup on the specimen limits the quality of the data that can be acquired during these long duration experiments and also whether the data acquisition session could be extended to allow acquisition of more than 1,000,000 particles. We report here a systematic characterization of contamination of specimens maintained for long periods of time at liquid nitrogen temperatures using standard side entry cryo stages. As part of this characterization we developed a more reliable method for accurately estimating specimen ice thickness. Using the method, we were able to calibrate image contrast against ice thickness under a variety of magnifications, objective aperture positions, and defoci, and demonstrated the strong dependence of the calibration curve on these parameters. The results show the anti-contamination aperture is, as expected, critical to the prevention of contamination and that loading film into the microscope dramatically increases the contamination rate, particularly in the first 3 h after the insertion of the film box. In the absence of film, we were able to reproducibly demonstrate that the contamination rate can be limited to a rate of approximately 1 angstrom/h providing reassurance that contamination will not be a major limiting factor for long term cryoEM experiments if a CCD camera is used for the imaging.

Algorithms↗

Automated molecular microscopy: the new Leginon system.

We report here on the current state of our efforts in automated molecular microscopy. Our primary automated data acquisition software system, Leginon, has been completely redesigned over the past two years. The new distributed system has been developed using the Python programming language and is compatible with both Linux and Windows operating systems. The new flexible architecture was designed to allow for the development of customized data collection protocols, several of which are described here. The system has been used to acquire data for approximately 150 experiments and we have demonstrated the capacity for high throughput data acquisition by acquiring images of more than 100,000 particles in a single session at the microscope.

Microscopy, Electron↗

Robotic grid loading system for a transmission electron microscope.

The design, construction, and testing of a robotic grid loading system for a transmission electron microscope is presented. The system, when integrated with automated data collection software, has the potential to carry out large scale multi-grid experiments, as required, for example, by 2D protein crystallization screening trials. We present a detailed description of the system that utilizes a 6 axis articulate robotic arm to load microscope grids into a specimen holder and then load the holder into the microscope. Grids are stored in trays with a capacity of 96 that are based on the format of a standard 96-well microtiter plate. The system has been integrated with an FEI Tecnai microscope and does not require any modification to the microscope and only minor modifications to the specimen holder. Preliminary results regarding cycle time, failure rates, positioning accuracy and a 96 grid screening experiment are presented.

Automation↗

Rapid routine structure determination of macromolecular assemblies using electron microscopy: current progress and further challenges.

Although the methodology of molecular microscopy has enormous potential, it is time consuming and labor intensive. The techniques required to produce a three-dimensional (3D) electron density map of a macromolecular structure normally require manual operation of an electron microscope by a skilled operator and manual supervision of the sometimes complex software needed for analysis and calculation of 3D maps. Systems to automate the process of data acquisition from an electron microscope are being developing and these systems are being integrated with specimen handling operations and post acquisition data processing. Here, the current performance of our existing systems and the future challenges involved in substantially improving both the sustained throughput and the yield of automated data collection and analysis are reported.

Algorithms↗

Automated three-dimensional reconstruction of keyhole limpet hemocyanin type 1.

We have reconstructed a three-dimensional map of keyhole limpet hemocyanin isoform 1 (KLH1), using our automated data collection software, Leginon, integrated with particle selection algorithms, and the SPIDER reconstruction package. KLH1, a 7.9 MDa macromolecule, is an extracellular respiratory pigment composed of two asymmetric decamers, and presents an overall D(5) point-group symmetry. The reconstruction is in agreement with previous data published on molluscan hemocyanins. The reconstructed map (11.3A resolution, 3sigma criterion) was used to fit an available X-ray crystallography structure of Octopus dofleini Odg, solved at 2.3A [J. Mol. Biol. 278 (4) (1998) 855], with satisfactory results. The results validate the approach of automating the cryoEM process and demonstrate that the quality of the images acquired and the particles selected is comparable to those obtained using manual methods. Several problems remain to be solved however before these results can be generalized.

Algorithms↗

A relational database for cryoEM: experience at one year and 50 000 images.

For the past year we have been using a relational database as part of an automated data collection system for cryoEM. The database is vital for keeping track of the very large number of images collected and analyzed by the automated system and essential for quantitatively evaluating the utility of methods and algorithms used in the data collection. The database can be accessed using a variety of tools including specially developed Web-based interfaces that enable a user to annotate and categorize images using a Web-based form.

Algorithms↗