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Genetic interaction mapping informs integrative structure determination of protein complexes

ABSTRACT: 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.

ORGANISM(S): Saccharomyces cerevisiae

PROVIDER: GSE160350 | GEO | 2020/12/10

REPOSITORIES: GEO

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Genetic interaction mapping informs integrative structure determination of protein complexes

Project description:Genetic interaction mapping informs integrative structure determination of protein complexes

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Project description:Cross-linking mass spectrometry is a powerful method for the investigation of protein-protein interactions from highly complex samples. XL-MS combined with tandem mass tag labeling holds the promise of large-scale PPI quantification. However, a robust and efficient TMT-based XL-MS quantification method has not yet been established due to the lack of a benchmarking dataset and thorough evaluation of various MS parameters. To tackle these limitations, we generate a two-interactome dataset by spiking-in TMT-labeled cross-linked E. coli lysate into TMT-labeled cross-linked HEK293T lysate using a defined mixing scheme. Using this benchmarking dataset, we assess the efficacy of cross-link identification and accuracy of cross-link quantification using different MS acquisition strategies. For identification, we compare various MS2- and MS3-based XL-MS methods, and optimize stepped HCD energies for TMT-labeled cross-links. We observed a need for notably higher fragmentation energies compared to unlabeled cross-links. For quantification, we assess the quantification accuracy and dispersion of MS2-, MS3- and synchronous precursor selection-MS3-based methods. We show that a stepped HCD-MS2 method with stepped collision energies 36-42-48 provides a vast number of quantifiable cross-links with high quantification accuracy. This widely applicable method paves the way for multiplexed quantitative PPI characterization from complex biological systems.

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Project description:Horizontally acquired genetic elements (HGEs) plays a major for determination of virulence, antimicrobial resistance, adaptation and evolution in pathogenic bacteria. Conserved integrative mobile genetic elements (MGEs) of Vibrio cholerae contribute in the disease development, antimicrobial resistance and metabolic functions. To understand the dynamics of integrative MGEs and cross talk between MGEs and core genome, engineered genome of V. cholerae was monitored in the presence and absence of horizontally acquired genetic elements. Deletion of more than 250 revealed that CTX contributes to the essentiality of SOS response master regulator LexA in V. cholerae. Also, he core genome encoded RecA helps CTX to bypass the host immunity and replicate in the host cell in the presence of similar prophage in the host chromosome. Finally, our multiomics data reveal importance of MGEs in modulating the level of cellular proteome and metabolome in V. cholerae. This study for the first time engineered the genome of V. cholerae strains to eliminate all the GIs, ICE and prophages from their genome and revealed new interactions between core and acquired genomes. The engineered strain could be a potential candidate for understanding evolution of cholera pathogen and development of therapeutics.

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Project description:This study aims to study binding events between the Zika virus RNA genome and endogenous transcripts during infection of a human cell line. We develop a novel psolaren-based cross-linking technique to preserve interactions between mRNA and the Zika genome. Interacting RNA molecules are ligated together prior to reversal of the cross-links and selection for Zika-containing fragments. Reverse transcription and paired-end high-throughput sequencing then allow us to identify the interacting transcripts. We generated three batches of libraries, where all samples in each batch were generated from the same pool of RNA. Within each batch, we have the livefire sample, where the protocol was performed as described above; a reverse-control sample, where the protocol was performed by reversing the cross-links prior to ligation; and a no-cross-link control, where the protocol was performed without any cross-linking. The latter two samples represent negative controls where no genuine interactions should be observed.

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Project description:Formaldehyde is a widely used fixative in biology and medicine. The current chemical model for formaldehyde cross-linking of proteins is the formation of a methylene bridge that incorporates one carbon atom into the link. Here, we present mass spectrometry data that largely refute this model. Instead, our data show that cross-linking of structured proteins mainly involves a reaction that incorporates two carbon atoms into the link. Under MS/MS fragmentation, the link cleaves symmetrically to yield unusual fragments with a modification of one carbon atom. We apply this new understanding of the underlying cross-linking chemistry to the structural approach of cross-linking coupled to mass spectrometry. First, we cross-linked a mixture of purified proteins with formaldehyde. Our new analysis readily identified tens of cross-links from these proteins, which fit well with their atomic structures. We then perform in-situ cross-linking of human cells in culture. We identified 469 intra-protein and 90 inter-protein cross-links, which also fit well with available atomic structures. Interestingly, many of these cross-links could not be mapped onto a known structure and thus provide new structural insights. We highlight an example in which formaldehyde cross-links localize the binding site of βNAC on the ribosome. We also find several interactions of actin with auxiliary proteins. Our findings not only expand our understanding of formaldehyde reactivity and toxicity, but also clearly demonstrate how to use this potent reagent for structural studies.

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Raw data of mass spectrometry -Jisheng Li

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Project description:Chemical cross-linking coupled with mass spectrometry plays an important role in unravelling protein interactions, especially weak and transient interactions. Moreover, cross-linking complements several structure determination approaches such as cryo-EM. Although several computational approaches are available for the annotation of spectra obtained from cross-linked peptides, there remains room for improvement. Here, we present Xilmass, a novel algorithm to identify cross-linked peptides that introduces two new concepts: (i) the cross-linked peptides are represented in a novel way in the search database that explicitly encodes cross-linking sites and (ii) the scoring function from the Andromeda algorithm was adapted to score against a theoretical MS spectrum that contains the peaks from all the possible fragment ions of a cross-linked peptide pair. The performance of Xilmass was subsequently evaluated against the recently published Kojak and the popular pLink algorithms on a data set that contains calmodulin-plectin.

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