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Rabuck-Gibbons, J. N.

Publications and source records attributed to Rabuck-Gibbons, J. N..

3 recordsLinked to original sources

Unsupervised Voxel-based Segmentation reveals a Landscape of Bacterial Ribosome Large Subunit Early Assembly

Ribosome biogenesis is a complex but efficient process in rapidly growing bacteria, where assemble a functional 70S ribosome takes ~ 2 min, involving participation of 3 rRNAs, 50 r-proteins and dozens of assembly factors. In vitro reconstitution using different subsets of large subunit (50S, LSU) proteins with rRNAs, pioneered by Nierhaus lab, resulted in the Nierhaus assembly map, embodying the cooperativity and dependency for binding of LSU r-proteins to 23S rRNA. Critically absent from the Nierhaus map is the underlying folding of the rRNA that creates the binding sites for the r-proteins. In addition, the relationship of the observed cooperativity in vitro to the co-transcriptional assembly in cells remains to be determined. Pre-50S intermediates accumulate at low temperature in {Delta}deaD, a DEAD-box helicase implicated in 50S assembly. We solved 21 pre-50S density maps from intermediate-containing fractions using cryo-EM. In the newly solved maps, we discovered the earliest intermediate ever reported, consisting of domain I at the 5-end of 23S rRNA. To probe the mechanism behind the maps during assembly, we developed a novel density map segmentation and dependency analysis method. Ten cooperative assembly blocks were identified from segmentation of the maps, and these were organized into a block dependency map. This is the first time the dependencies on folding of rRNA helices and ribosomal protein binding could be integrated into a complete assembly map. In addition, we showed how the exit tunnel is folded on the solvent side, serving as a scaffold for 50S maturation. Using this new segmentation analysis method, we revisited previously reported bL17-depletion and {Delta}srmB datasets. Most remarkably, the other two datasets are also consistent with the block dependency, implying a unified early assembly pathway and flexible maturation landscape in early 50S biogenesis.

biochemistry↗

Near-Physiological in vitro Assembly of 50S Ribosomes Involves Parallel Pathways

Understanding the assembly principles of biological macromolecular complexes remains a significant challenge, due to the complexity of the systems and the difficulties in developing experimental approaches. As a ribonucleoprotein complex, the ribosome serves as an ideal model system for the profiling of macromolecular complex assembly. In this work, we report an ensemble of large ribosomal subunit intermediate structures that accumulate during synthesis in a near-physiological and co-transcriptional in vitro reconstitution system. Thirteen pre-50S intermediate maps covering the whole assembly process were resolved using cryo-EM single particle analysis and heterogeneous subclassification. Segmentation of the set of density maps reveals that the 50S ribosome intermediates assemble based on fourteen cooperative assembly blocks, including the smallest assembly core reported up to now, which is composed of a 600-nucleotide-long folded rRNA and three ribosomal proteins. The cooperative blocks assemble onto the assembly core following a defined set of dependencies, revealing the parallel assembly pathways at both early and late assembly stages of the 50S subunit.

biochemistry↗

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↗