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Matyushkina, D. S.

Publications and source records attributed to Matyushkina, D. S..

2 recordsLinked to original sources

The proteome as a whole: from a passive reflection of the transcriptome to an active cellular organizer

Despite advances in proteomics, the proteome is still often viewed as a passive reflection of the transcriptome. Using Mycoplasma gallisepticum as a minimal cell model, we analyzed large-scale datasets across multiple stress conditions to investigate whether the proteome functions as an integrated regulatory system. The proteome remained quantitatively stable under stress, yet the bacteria adapted successfully. We identified a minimal core of 17 major proteins constituting 35% of cellular protein mass. These proteins exhibit distinct physicochemical properties--higher positive charge, lower hydrophilicity, and enrichment in intrinsically disordered regions--suggesting they shape cytoplasmic organization and may drive liquid-liquid phase separation. Minor proteins form tightly correlated clusters, while stress conditions trigger rearrangement of protein complexes without abundance changes, representing an energy-efficient adaptation strategy. Cross linking mass spectrometry revealed condition specific interactome remodeling, which may underlie mycoplasma adaptation to diverse stresses. Our findings suggest that the proteome operates as an active cellular organizer, where physicochemical properties and dynamic complex rearrangements enable adaptation independently of transcriptional control. This framework may inform synthetic biology efforts to engineer minimal cells.

synthetic biology↗

Analysis of the upper respiratory tract microbiota in mild and severe COVID-19 patients

The microbiota of the respiratory tract remains a relatively poorly studied subject. At the same time, like the intestinal microbiota, it is involved in modulating the immune response to infectious agents in the host organism. A causal relationship between the composition of the respiratory microbiota and the likelihood of development and the severity of COVID-19 may be hypothesized. We analyze biomaterial from nasopharyngeal smears from 336 patients with a confirmed diagnosis of COVID-19, selected during the first and second waves of the epidemic in Russia. Sequences from a similar study conducted in Spain were also included in the analysis. We investigated associations between disease severity and microbiota at the level of microbial community (community types) and individual microbes (differentially represented species). To search for associations, we performed multivariate analysis, taking into account comorbidities, type of community and lineage of the virus. We found that two out of six community types are associated with a more severe course of the disease, and one of the community types is characterized by high stability (very similar microbiota profiles in different patients) and low level of lung damage. Differential abundance analysis with respect to comorbidities and community type suggested association of Rothia and Streptococcus genera representatives with more severe lung damage, and Leptotrichia, unclassified Lachnospiraceae and Prevotella with milder forms of the disease.

molecular biology↗