New computational methods toward atomic resolution in single particle cryo-electron microscopy

Tesis doctoral inédita leída en la Universidad Autónoma de Madrid, Escuela Politécnica Superior, Departamento de Ingeniería Informática. Fecha de lectura: 22-06-2016Structural information of macromolecular complexes provides key insights into the way they carry out their biological functions. In turn, Electron microscopy (EM) is an essential tool to study the structure and function of biological macromolecules at a medium-high resolution. In this context, Single-Particle Analysis (SPA), as an EM modality, is able to yield Three-Dimensional (3-D) structural information for large biological complexes at near atomic resolution by combining many thousands of projection images. However, these views su er from low Signal-to-Noise Ratios (SNRs), since an extremely low total electron dose is used during exposure to reduce radiation damage and preserve the functional structure of macromolecules. In recent years, the emergence of Direct Detection Devices (DDDs) has opened up the possibility of obtaining images with higher SNRs. These detectors provide a set of frames instead of just one micrograph, which makes it possible to study the behavior of frozen hydrated specimens as a function of electron dose and rate. In this way, it has become apparent that biological specimens embedded in a solid matrix of amorphous ice move during imaging, resulting in Beam-Induced Motion (BIM). Therefore, alignment of frames should be added to the classical standard data processing work ow of single-particle reconstruction, which includes: particle selection, particle alignment, particle classi cation, 3-D reconstruction, and model re nement. In this thesis, we propose new algorithms and improvements for three important steps of this work ow: movie alignment, particles selection, and 3-D reconstruction. For movie alignment, a methodology based on a robust to noise optical ow approach is proposed that can e ciently correct for local movements and provide quantitative analysis of the BIM pattern. We then introduce a method for automatic particle selection in micrographs that uses some new image features to train two classi ers to learn from the user the kind of particles he is interested in. Finally, for 3-D reconstruction, we introduce a gridding-based direct Fourier method that uses a weighting technique to compute a uniform sampled Fourier transform. The algorithms are fully implemented in the open-source Xmipp package (http://xmipp.cnb.csic.es

Structure of a Cell Entry Defective Human Adenovirus Provides Insights into Precursor Proteins and Capsid Maturation : Cryo-EM structure of ts1 virion of an adenovirus

Funding Information: We would like to thank Dr. Francisco Asturias for his advice on electron microscopy experiments and Dr. J.C. Ducom for installing Scipion and cisTEM packages on the HPC cluster and computational support in general. This work was supported by the NIH grant R21 AI146644 to V.S.R. Publisher Copyright: © 2021 Elsevier LtdMaturation of adenoviruses is distinguished by proteolytic processing of several interior minor capsid proteins and core proteins by the adenoviral protease and subsequent reorganization of adenovirus core. We report the results derived from the icosahedrally averaged cryo-EM structure of a cell entry defective form of adenovirus, designated ts1, at a resolution of 3.7 Å as well as of the localized reconstructions of unique hexons and penton base. The virion structure revealed the structures and organization of precursors of minor capsid proteins, pIIIa, pVI and pVIII, which are closely associated with the hexons on the capsid interior. In addition to a well-ordered helical domain (a.a. 310–397) of pIIIa, highlights of the structure include the precursors of VIII display significantly different structures near the cleavage sites. Moreover, we traced residues 4–96 of the membrane lytic protein (pVI) that includes an amphipathic helix occluded deep in the hexon cavity suggesting the possibility of co-assembly of hexons with the precursors of VI. In addition, we observe a second copy of pVI ordered up to residue L40 in the peripentonal hexons and a few fragments of density corresponding to 2nd and 3rd copies of pVI in other hexons. However, we see no evidence of precursors of VII binding in the hexon cavity. These findings suggest the possibility that differently bound pVI molecules undergo processing at the N-terminal cleavage sites at varying efficiencies, subsequently creating competition between the cleaved and uncleaved forms of VI, followed by reorganization, processing, and release of VI molecules from the hexon cavities.Peer reviewe

Cryo-EM structure of ssDNA bacteriophage ΦCjT23 provides insight into early virus evolution

Publisher Copyright: © 2022, The Author(s).The origin of viruses remains an open question. While lack of detectable sequence similarity hampers the analysis of distantly related viruses, structural biology investigations of conserved capsid protein structures facilitate the study of distant evolutionary relationships. Here we characterize the lipid-containing ssDNA temperate bacteriophage ΦCjT23, which infects Flavobacterium sp. (Bacteroidetes). We report ΦCjT23-like sequences in the genome of strains belonging to several Flavobacterium species. The virion structure determined by cryogenic electron microscopy reveals similarities to members of the viral kingdom Bamfordvirae that currently consists solely of dsDNA viruses with a major capsid protein composed of two upright β-sandwiches. The minimalistic structure of ΦCjT23 suggests that this phage serves as a model for the last common ancestor between ssDNA and dsDNA viruses in the Bamfordvirae. Both ΦCjT23 and the related phage FLiP infect Flavobacterium species found in several environments, suggesting that these types of viruses have a global distribution and a shared evolutionary origin. Detailed comparisons to related, more complex viruses not only expand our knowledge about this group of viruses but also provide a rare glimpse into early virus evolution.Peer reviewe

Cryo-EM and the elucidation of new macromolecular structures: Random Conical Tilt revisited

Cryo-Electron Microscopy (cryo-EM) of macromolecular complexes is a fundamental structural biology technique which is expanding at a very fast pace. Key to its success in elucidating the three-dimensional structure of a macromolecular complex, especially of small and non-symmetric ones, is the ability to start from a low resolution map, which is subsequently refined with the actual images collected at the microscope. There are several methods to produce this first structure. Among them, Random Conical Tilt (RCT) plays a prominent role due to its unbiased nature (it can create an initial model based on experimental measurements). In this article, we revise the fundamental mathematical expressions supporting RCT, providing new expressions handling all key geometrical parameters without the need of intermediate operations, leading to improved automation and overall reliability, essential for the success of cryo-EM when analyzing new complexes. We show that the here proposed RCT workflow based on the new formulation performs very well in practical cases, requiring very few image pairs (as low as 13 image pairs in one of our examples) to obtain relevant 3D maps.We thank Dr. Llorca for his support during the acquisition of the C3b images and Dr. Shaikh for his support in the use of Spider for the RCT reconstructions. The authors would like to acknowledge economical support from the Spanish Ministry of Economy and Competitiveness through grants AIC-A-2011-0638 and BIO2013-44647-R, the Comunidad de Madrid through grant CAM (S2010/BMD-2305), as well as a postdoctoral Juan de la Cierva grant with reference JCI-2011-10185 to Javier Vargas. Vahid Abrishami is a holder of La Caixa scholarship and C.O.S. Sorzano is recipient of a Ramon y Cajal fellowship

Localized reconstruction in Scipion expedites the analysis of symmetry mismatches in cryo-EM data

Technological advances in transmission electron microscopes and detectors have turned cryogenic electron microscopy (cryo-EM) into an essential tool for structural biology. A commonly used cryo-EM data analysis method, single particle analysis, averages hundreds of thousands of low-dose images of individual macromolecular complexes to determine a density map of the complex. The presence of symmetry in the complex is beneficial since each projection image can be assigned to multiple views of the complex. However, data processing that applies symmetry can average out asymmetric features and consequently data analysis methods are required to resolve asymmetric structural features. Scipion is a cryo-EM image processing framework that integrates functionalities from different image processing packages as plugins. To extend its functionality for handling symmetry mismatches, we present here a Scipion plugin termed LocalRec implementing the localized reconstruction method. When tested on an adenovirus data set, the plugin enables resolving the symmetry-mismatched trimeric fibre bound to the five-fold vertices of the capsid. Furthermore, it improves the structure determination of the icosahedral capsid by dealing with the defocus gradient across the particle. LocalRec is expected to be widely applicable in a range of cryo-EM investigations of flexible and symmetry mismatched complexes.Peer reviewe

Tox_(R)CNN: Deep learning-based nuclei profiling tool for drug toxicity screening.

Toxicity is an important factor in failed drug development, and its efficient identification and prediction is a major challenge in drug discovery. We have explored the potential of microscopy images of fluorescently labeled nuclei for the prediction of toxicity based on nucleus pattern recognition. Deep learning algorithms obtain abstract representations of images through an automated process, allowing them to efficiently classify complex patterns, and have become the state-of-the art in machine learning for computer vision. Here, deep convolutional neural networks (CNN) were trained to predict toxicity from images of DAPI-stained cells pre-treated with a set of drugs with differing toxicity mechanisms. Different cropping strategies were used for training CNN models, the nuclei-cropping-based Tox_CNN model outperformed other models classifying cells according to health status. Tox_CNN allowed automated extraction of feature maps that clustered compounds according to mechanism of action. Moreover, fully automated region-based CNNs (RCNN) were implemented to detect and classify nuclei, providing per-cell toxicity prediction from raw screening images. We validated both Tox_(R)CNN models for detection of pre-lethal toxicity from nuclei images, which proved to be more sensitive and have broader specificity than established toxicity readouts. These models predicted toxicity of drugs with mechanisms of action other than those they had been trained for and were successfully transferred to other cell assays. The Tox_(R)CNN models thus provide robust, sensitive, and cost-effective tools for in vitro screening of drug-induced toxicity. These models can be adopted for compound prioritization in drug screening campaigns, and could thereby increase the efficiency of drug discovery

Structures of human peroxiredoxin 3 suggest self-chaperoning assembly that maintains catalytic state

\u3cp\u3ePeroxiredoxins are antioxidant proteins primarily responsible for detoxification of hydroperoxides in cells. On exposure to various cellular stresses, peroxiredoxins can acquire chaperone activity, manifested as quaternary reorganization into a high molecular weight (HMW) form. Acidification, for example, causes dodecameric rings of human peroxiredoxin 3 (HsPrx3) to stack into long helical filaments. In this work, a 4.1-Å resolution structure of low-pH-instigated helical filaments was elucidated, showing a locally unfolded active site and partially folded C terminus. A 2.8-Å crystal structure of HsPrx3 was determined at pH 8.5 under reducing conditions, wherein dodecameric rings are arranged as a short stack, with symmetry similar to low-pH filaments. In contrast to previous observations, the crystal structure displays both a fully folded active site and ordered C terminus, suggesting that the HsPrx3 HMW form maintains catalytic activity. We propose a new role for the HMW form as a self-chaperoning assembly maintaining HsPrx3 function under stress.\u3c/p\u3

Fast and accurate conversion of atomic models into electron density maps

New image processing methodologies and algorithms have greatly contributed to the signi cant progress in three-dimensional electron microscopy (3DEM) of biological complexes we have seen over the last decades. Naturally, the availability of accurate procedures for the objective testing of new algorithms is a crucial requirement for the further advancement of the eld. A good and accepted testing work ow involves the generation of realistic 3DEM-like maps of biological macromolecules from which some measure of ground truth can be derived, ideally because their 3D atomic structure is already known. In this work we propose a very accurate generation of maps using atomic form factors for electron scattering. We thoroughly review current approaches in the eld, quantitatively demonstrating the bene ts of the new methodology. Additionally, we study a concrete example of the use of this approach for hypothesis testing in 3D Electron Microscopy