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Lyumkis, D.

Publications and source records attributed to Lyumkis, D..

25 records · Page 2Linked to original sources

Cryo-EM Structure of the Pol Polyprotein Provides Insights into HIV Maturation

Many retroviral proteins are initially translated from unspliced full-length RNA as polyprotein precursors that are subsequently processed by the viral protease (PR) to yield the mature forms. In HIV-1, the enzymes, PR, reverse transcriptase (RT), and integrase (IN), are produced as part of the Gag-Pol polyprotein. While structures of the mature proteins have aided our understanding of catalytic mechanisms and the design of antiretroviral drugs, knowledge of the architecture and functional implications of the immature forms prior to PR-mediated cleavage is limited. We developed a system to produce and purify the HIV-1 Pol polyprotein intermediate precursor and determined its high-resolution cryo-EM structure. The RT portion of the polyprotein has an architecture similar to the mature RT p66/p51 heterodimer, and dimerization of the RT portion draws together two PR monomers to activate proteolytic processing. HIV-1 thus may leverage the dimerization interfaces in Pol to regulate the assembly and maturation of the polyprotein precursors.

biophysics↗

Quantitative Mining of Compositional Heterogeneity in Cryo-EM Datasets of Ribosome Assembly Intermediates

Macromolecular complexes are dynamic entities whose function is often intertwined with their many structural configurations. Single particle cryo-electron microscopy (cryo-EM) offers a unique opportunity to characterize macromolecular structural heterogeneity by virtue of its ability to place distinct populations into different groups through computational classification. However, current workflows are limited, and there is a dearth of tools for surveying the heterogeneity landscape, quantitatively analyzing heterogeneous particle populations after classification, deciding how many unique classes are represented by the data, and accurately cross-comparing reconstructions. Here, we develop a workflow that contains discovery and analysis modules to quantitatively mine cryo-EM data for a set of structures with maximal diversity. This workflow was applied to a dataset of E. coli 50S ribosome assembly intermediates, which is characterized by significant structural heterogeneity. We identified new branch points in the assembly process and characterized the interactions of an assembly factor with immature intermediates. While the tools described here were developed for ribosome assembly, they should be broadly applicable to the analysis of other heterogeneous cryo-EM datasets.

biophysics↗

Tools for Visualizing and Analyzing Fourier Space Sampling in Cryo-EM

A complete understanding of how an orientation distribution contributes to a cryo-EM reconstruction remains lacking. It is necessary to begin critically assessing the set of views to gain an understanding of its effect on experimental reconstructions. Toward that end, we recently suggested that the type of orientation distribution may alter resolution measures in a systematic manner. We introduced the sampling compensation factor (SCF), which incorporates how the collection geometry might change the spectral signal-to-noise ratio (SSNR), irrespective of the other experimental aspects. We show here that knowledge of the sampling restricted to spherical surfaces of sufficiently large radii in Fourier space is equivalent to knowledge of the set of projection views. Moreover, the SCF geometrical factor may be calculated from one such surface. To aid cryo-EM researchers, we developed a graphical user interface (GUI) tool that evaluates experimental orientation distributions. The GUI returns plots of projection directions, sampling constrained to the surface of a sphere, the SCF value, the fraction of the empty region of Fourier space, and a histogram of the sampling values over the points on a sphere. Finally, a fixed tilt angle may be incorporated to determine how tilting the grid during collection may improve the distribution of views and Fourier space sampling. We advocate this simple conception of sampling and the use of such tools as a complement to the distribution of views to capture the different aspects of the effect of projection directions on cryo-EM reconstructions.

biophysics↗

Non-Uniformity of Projection Distributions Attenuates Resolution in Cryo-EM

Virtually every single-particle cryo-EM experiment currently suffers from specimen adherence to the air-water interface, leading to a non-uniform distribution in the set of projection views. Whereas it is well accepted that uniform projection distributions can lead to high-resolution reconstructions, non-uniform (anisotropic) distributions can negatively affect map quality, elongate structural features, and in some cases, prohibit interpretation altogether. Although some consequences of non-uniform sampling have been described qualitatively, we know little about how sampling quantitatively affects resolution in cryo-EM, especially given the numerous different projection schemes that can arise in experimental situations. Here, we show how inhomogeneity in any projection distribution scheme attenuates the global Fourier Shell Correlation (FSC) in relation to the number of particles and a single geometrical parameter, which we term the sampling compensation factor (SCF). The reciprocal of the SCF is defined as the average over Fourier shells of the reciprocal of the per-particle sampling and normalized to unity for uniform distributions. The SCF therefore ranges from one to zero, with values close to the latter implying large regions of poorly sampled or completely missing data in Fourier space. Using two synthetic test cases, influenza hemagglutinin and human apoferritin, we demonstrate how any amount of sampling inhomogeneity always attenuates the FSC compared to a uniform distribution. We advocate quantitative evaluation of the SCF criterion to approximate the effect of non-uniform sampling on resolution within experimental single-particle cryo-EM reconstructions.

biophysics↗

Indirect Readout of DNA Controls Filamentation and Activation of a Sequence-Specific Endonuclease

Filament or run-on oligomer formation by enzymes is increasingly recognized as an important phenomenon with potentially unique regulatory properties and biological roles. SgrAI is an allosterically regulated type II restriction endonuclease that forms run-on oligomeric (ROO) filaments with enhanced DNA cleavage activity and altered sequence specificity. Here, we present the 3.5 [A] cryo-electron microscopy structure of the ROO filament of SgrAI bound to a mimic of cleaved primary site DNA and Mg2+. Large conformational changes stabilize a second metal ion cofactor binding site within the catalytic pocket and facilitate assembling a higher-order enzyme form that is competent for rapid DNA cleavage. The structural changes illuminate the mechanistic origin of hyper-accelerated DNA cleavage activity within the filamentous SgrAI form. An analysis of the protein-DNA interface and the stacking of individual nucleotides reveals how indirect DNA readout within filamentous SgrAI enables recognition of substantially more nucleotide sequences than its low-activity form, thereby expanding DNA sequence specificity. Together, substrate DNA binding, indirect readout, and filamentation simultaneously enhance SgrAIs catalytic activity and modulate substrate preference. This unusual enzyme mechanism may have evolved to perform the specialized functions of bacterial innate immunity in rapid defense against invading phage DNA without causing damage to the host DNA.

biochemistry↗

Analysis of Local Variability and Allostery in Macromolecular Assemblies using Cryo-EM and Focused Classification

Single-particle electron cryo-microscopy and computational image classification can be used to analyze structural variability in macromolecules and their assemblies. In some cases, a particle may contain different regions that each display a range of distinct conformations. We have developed strategies, implemented within the Frealign and cisTEM image processing packages, to focus classify on specific regions of a particle and detect potential covariance. The strategies are based on masking the region of interest using either a 2-D mask applied to reference projections and particle images, or a 3-D mask applied to the 3-D volume. We show that focused classification approaches can be used to study structural allostery, a concept that is likely to gain more importance as datasets grow in size, allowing the distinction of more structural states and smaller differences between states. Finally, we apply the approaches to an experimental dataset containing the HIV-1 Transactivation Response (TAR) element RNA fused into the large bacterial ribosomal subunit, to deconvolve structural mobility within localized regions of interest.\n\nHighlightsO_LIDescription of different image classification strategies in single-particle cryo-EM\nC_LIO_LIQuantitative evaluation of two classification methods using simulated data\nC_LIO_LIApplication of the two classification methods to an experimental dataset\nC_LI

biophysics↗

Sub-2 A Ewald Curvature Corrected Single-Particle Cryo-EM

Single-particle cryogenic electron microscopy (cryo-EM) provides a powerful methodology for structural biologists, but the resolutions typically attained with experimentally determined structures have lagged behind microscope capabilities. Here, we have exploited several technical solutions to improve resolution, including sub-Angstrom pixelation, per-particle CTF refinement, and most notably a correction for Ewald sphere curvature. The application of these methods on micrographs recorded on a base model Titan Krios enabled structure determination at [~]1.86-[A] resolution of an adeno-associated virus serotype 2 variant (AAV2), an important gene-delivery vehicle.

biophysics↗