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Biology subjects

Gorna, M. W.

Publications and source records attributed to Gorna, M. W..

3 recordsLinked to original sources

MultiOMICs landscape of SARS-CoV-2-induced host responses in human lung epithelial cells

Despite the availability of vaccines and approved therapeutics, the COVID-19 pandemic continues to rise owing to the emergence of newer variants. Several multi-omics studies have made available extensive evidence on host-pathogen interactions and potential therapeutic targets. Nonetheless, an increased understanding of host signaling networks regulated by post-translational modifications and their ensuing effect on the biochemical and cellular dynamics is critical to expanding the current knowledge on the host response to SARS-CoV-2 infections. Here, employing unbiased global transcriptomics, proteomics, acetylomics, phosphoproteomics, and exometabolome analysis of a lung-derived human cell line, we show that SARS-CoV-2 Norway/Trondheim-S15 strain induces time-dependent alterations in the induction of type I IFN response, activation of DNA damage response, dysregulated Hippo signaling, among others. We provide evidence for the interplay of phosphorylation and acetylation dynamics on host proteins and its effect on the altered release of metabolites, especially organic acids and ketone bodies. Together, our findings serve as a resource of potential targets that can aid in designing novel host-directed therapeutic strategies.

systems biology↗

The Repeating, Modular Architecture of the HtrA Proteases

A conserved, 26 residue sequence [AA(X2)[A/G][G/L](X2)GDV[I/L](X2)[V/L]NGE(X1)V(X6)] and corresponding structure repeating module was identified within the HtrA protease family using a non-redundant set (N=20) of publically available structures. While the repeats themselves were far from sequence perfect they had notable conservation to a statistically significant level with three or more repetitions identified within one protein at a level that would be expected to randomly occur only once per 1031 residues. This sequence repeat was associated with a six stranded antiparallel {beta}-barrel module, two of which are present in the core of the structures of the PA clan of serine proteases, while a modified version of this module could be identified in the PDZ-like domains. Automated structural alignment methods had difficulties in superimposing these {beta}-barrels but use of a target human HtrA2 structure showed that these modules had an average RMSD across the set of structures of less than 2 [A] (mean and median). Our findings support Dayhoffs hypothesis that complex proteins arose through duplication of simpler peptide motifs and domains.

bioinformatics↗

A uniform benchmark for testing ssrA-derived degrons in the Escherichia coli ClpXP pathway

The ssrA degron is commonly used in fusion proteins to control protein stability in bacteria or as an interaction module. These applications often rely on the modular activities of the ssrA tag in binding to the SspB adaptor and in engaging the ClpXP protease. However, a comparison of these activities for a substantial standard set of degron variants has not been conducted previously, which may hinder developments of new variants optimized exclusively for one application. Here, we strive to establish a benchmark that will facilitate the comparison of ssrA variants under uniform conditions. In our workflow, we included methods for expression and purification of ClpX, ClpP, SspB and eGFP-degrons, assays of ClpX ATPase activity, of eGFP-degron binding to SspB and for measuring eGFP-degron degradation in vitro and in vivo. Using uniform, precise and sensitive methods under the same conditions on a range of eGFP-degrons allowed us to determine subtle differences in their properties that can affect their potential applications. Our findings can serve as a reference and a resource for developing targeted protein degradation approaches. SUMMARYThis work lays standards for assays used to compare engagement of SspB and ClpXP by a set of ssrA-derived degrons that can be used to fine-tune tools for protein stability control.

biochemistry↗