Genetic interaction mapping informs integrative structure determination of protein complexes
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ABSTRACT:
PROVIDER: PRJNA672982 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR12926600.fastq.gz | Fastqsanger.gz | |||
| SRR12926700_1.fastq.gz | Fastqsanger.gz | |||
| SRR12926700_2.fastq.gz | Fastqsanger.gz | |||
| SRR12926601.fastq.gz | Fastqsanger.gz | |||
| SRR12926602.fastq.gz | Fastqsanger.gz |
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Project description:Determining structures of protein complexes is crucial for understanding cellular functions. Here, we describe an integrative structure determination approach that relies on in vivo measurements of genetic interactions. We construct phenotypic profiles for point mutations crossed against gene deletions or exposed to environmental perturbations, followed by converting similarities between two profiles into an upper bound on the distance between the mutated residues. We determine the structure of the yeast histone H3/4 complex based on ~500,000 genetic interactions of 350 mutants. We then apply the method to subunits Rpb1-Rpb2 of yeast RNA polymerase II, and subunits RpoB-RpoC of bacterial RNA polymerase. The accuracy is comparable to that based on chemical cross-links; using restraints from both genetic interactions and cross-links further improves model accuracy and precision. The approach provides an efficient means to augment integrative structure determination with in vivo observations.
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Project description:Determining structures of protein complexes is crucial for understanding cellular functions. Here, we describe an integrative structure determination approach that relies on in vivo measurements of genetic interactions. We construct phenotypic profiles for point mutations crossed against gene deletions or exposed to environmental perturbations, followed by converting similarities between two profiles into an upper bound on the distance between the mutated residues. We determine the structure of the yeast histone H3-H4 complex based on ~500,000 genetic interactions of 350 mutants. We then apply the method to subunits Rpb1-Rpb2 of yeast RNA polymerase II and subunits RpoB-RpoC of bacterial RNA polymerase. The accuracy is comparable to that based on chemical cross-links; using restraints from both genetic interactions and cross-links further improves model accuracy and precision. The approach provides an efficient means to augment integrative structure determination with in vivo observations.
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Project description:MotivationStructural characterization of protein interactions is necessary for understanding and modulating biological processes. On one hand, X-ray crystallography or NMR spectroscopy provide atomic resolution structures but the data collection process is typically long and the success rate is low. On the other hand, computational methods for modeling assembly structures from individual components frequently suffer from high false-positive rate, rarely resulting in a unique solution.ResultsHere, we present a combined approach that computationally integrates data from a variety of fast and accessible experimental techniques for rapid and accurate structure determination of protein-protein complexes. The integrative method uses atomistic models of two interacting proteins and one or more datasets from five accessible experimental techniques: a small-angle X-ray scattering (SAXS) profile, 2D class average images from negative-stain electron microscopy micrographs (EM), a 3D density map from single-particle negative-stain EM, residue type content of the protein-protein interface from NMR spectroscopy and chemical cross-linking detected by mass spectrometry. The method is tested on a docking benchmark consisting of 176 known complex structures and simulated experimental data. The near-native model is the top scoring one for up to 61% of benchmark cases depending on the included experimental datasets; in comparison to 10% for standard computational docking. We also collected SAXS, 2D class average images and 3D density map from negative-stain EM to model the PCSK9 antigen-J16 Fab antibody complex, followed by validation of the model by a subsequently available X-ray crystallographic structure.
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Project description:Peripheral light harvesting (LH) antenna complexes have been studied extensively in the purple nonsulfur bacterium Rhodopseudomonas palustris because it produces different types of LH complexes under high light intensities (LH2 complex) and low light intensities (LH3 and LH4 complex). The ability of R. palustris to alter its peripheral LH complexes in response to changes in light intensity is attributed to the multiple operons that encode the a and b peptides that make up these complexes, whose expression is affected by light intensity, light quality, and oxygen tension. However, low resolution structures, amino acid similarities between the complexes, and a lack of transcriptional analysis made it difficult to determine the LH complexes composition and functions under different light intensities. It was also unclear how much diversity of the R. palustris LH complexes exists in nature.Results: To gain insight into the composition of the LH complexes, their function under high light intensities and low light intensities, and their prevalence in the environment we undertook an integrative genomics approach using 15 closely related R. palustris strains isolated from the environment and 5 R. palustris ecotypes whose genomes have been sequenced. We sequenced the genomes for the 15 closely related strains and using RNA-seq carried out transcriptomic analysis on all 20 strains grown under high light intensity and low light intensity. We were able to determine that even closely related R. palustris strains had differences in their pucBA gene content and expression, even under the same growth conditions. We also found that the LH2 complex could compensate for the lack of an LH4 complex under LL intensities but not under extremely LL intensities. Conclusions: This is the first time an integrative genomics approach has been used to study light harvesting in the environment. The variation observed in LH gene composition and expression in environmental isolates of R. palustris likely reflects how these strains have adapted to specific light conditions in the environment. We have also shown that there is redundancy between some of the LH complexes under certain light intensities, which may partially explain why multiple operons encoding LH complexes have evolved and been maintained in R. palustris. Examing the variation observed in LH gene composition and expression in various environmental isolates
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