Biology subjects

Ivanek, R.

Publications and source records attributed to Ivanek, R..

7 recordsLinked to original sources

bioRxiv2026

PAIP1 couples mRNA export to cytoplasmic mRNP remodeling and poly(A) homeostasis

Messenger ribonucleoproteins (mRNPs) acquire distinct protein compositions as they move from the nucleus to the cytoplasm, yet how this transition is coordinated and how inefficient remodeling affects downstream mRNA metabolism remains poorly understood. Here, we identify PAIP1 as a metazoan cofactor of the mRNA export ATPase DDX19. By binding a conserved N-terminal motif in DDX19, PAIP1 is recruited to the nuclear pore, where it promotes exchange of the nuclear poly(A)-binding protein PABPN1 for cytoplasmic PABPC1, thereby coupling mRNA export to cytoplasmic mRNP maturation. PAIP1 depletion alters cytoplasmic mRNP composition, mRNA stability and poly(A)-tail homeostasis. In Drosophila embryos, where poly(A)-tail regulation of maternal mRNAs directs early development, maternal PAIP1 depletion shortens poly(A)-tails, delays zygotic genome activation, and causes severe developmental defects. Our findings identify an export-coupled mRNP maturation pathway linking PABP exchange to downstream mRNA metabolism.

molecular biology↗

bioRxiv2025

Integration of mathematical modeling and economics approaches to evaluate strategies for control of Salmonella Dublin in a heifer-raising operation

Salmonella Dublin infections in heifer-raising operations (HROs) cause animal health and economic losses for these operations and represent a pathogen source for dairy farms obtaining replacement heifers from HROs. To improve control of S. Dublin, we (i) developed a mathematical model of S. Dublin transmission on a HRO, (ii) evaluated the vaccine effectiveness and cleaning improvements for controlling the infection, and (iii) evaluated the influence of infection and control strategies on the HROs operating income. We developed a modified Susceptible-Infected-Recovered-Susceptible model of S. Dublin spread in a batch-stocking HRO post-introduction of an index case, with stochasticity introduced through Monte Carlo simulations. Epidemiological outcomes (S. Dublin-induced deaths and abortions during raising and S. Dublin carriers and asymptomatic infections among raised replacement heifers) and operating income per 100-head raised on a HRO over a 2-year simulation were compared between control scenarios. We validated our model against S. Dublin infection data in cattle. Partial rank correlation coefficient and classification trees were used to determine parameter influence on model outcomes. Our model predicts a median of 37 carriers and 92 asymptomatic infections among raised replacement heifers out of 2,330 heifers that departed the operation by the end of the 2-year simulation period, highlighting the critical role of HROs in spreading S. Dublin. Increasing barn floor cleaning frequency (to a maximum of 12x per day) meaningfully reduced the S. Dublin epidemiological outcomes and improved the HROs operating income. Depending on the cost of cleaning, the median operating income increased between 1.2% to 10.6% in the first year when cleaning 12x per day compared to baseline (cleaning 1x per week). In most cost scenarios, predictions do not support the use of vaccination, even when paired with stringent cleaning measures. The developed model is expected to aid efforts to control S. Dublin in HROs.

ecology↗

bioRxiv2024

Thermal inactivation spectrum of influenza A H5N1 virus in raw milk

The spillover of highly pathogenic avian influenza (HPAI) H5N1 virus to dairy cows and shedding of high amounts of infectious virus in milk raised public health concerns. Here, we evaluated the decay and thermal stability spectrum of HPAI H5N1 virus in raw milk. For the decay studies, HPAI H5N1 positive raw milk was incubated at different temperatures and viral titers and the thermal death time D-values were estimated. We then heat treated HPAI H5N1 virus positive milk following different thermal conditions including pasteurization and thermization conditions. Efficient inactivation of the virus was observed in all tested conditions, except for thermization at 50{degrees}C 10 min. Utilizing a submerged coil system with temperature ramp up times that resemble commercial pasteurizers, we showed that the virus was rapidly inactivated by pasteurization and most thermization conditions. These results provide important insights on the food safety measures utilized in the dairy industry.

microbiology↗

bioRxiv2023

Modelling Osteoarthritis pathogenesis through Mechanical Loading in an Osteochondral Unit-on-Chip

A cure for osteoarthritis (OA), the most prevalent musculoskeletal disease, remains an unmet need. Investigating the molecular and cellular processes leading to OA is challenged by the absence of human models that capture the complex interplay among different tissues in the joint under pathophysiological mechanical loading. In this study, we have engineered an OsteoChondral Unit (OCU)-on-chip system where composite hyaline cartilage - mineralized osseous microtissue analogues are exposed to controlled, tissue-specific compression regimes akin to those of the OCU in vivo. Through single-cell transcriptomic analysis, we demonstrate the critical relevance of the mineralized layer in inducing chondrocyte subpopulations implicated in the progression of OA. Upon exposure to hyperphysiological loading, the OCU-on-chip captures early phenotypic traits of OA pathogenesis, comprising alterations of subchondral mineral content and acquisition of previously described OA genetic signatures. This system enabled to identify novel upstream drivers of OA metabolic changes, including mechanically induced ribosomal alterations, as well as associated molecular targets towards the development of disease-modifying OA therapies.

bioengineering↗

bioRxiv2023

Destabilization of neuromuscular junctions and deregulation of activity-dependent signalling pathways in Myotonic Dystrophy type I

Myotonic Dystrophy type I (DM1) is the most common muscular dystrophy in adults. Previous reports have highlighted that neuromuscular junctions (NMJs) deteriorate in skeletal muscle from DM1 patients and mouse models thereof. However, the underlying pathomechanisms and their contribution to muscle dysfunction remain unknown. We compared changes in NMJs and activity-dependent signalling pathways in HSALR and Mbnl1{Delta}E3/{Delta}E3 mice, two established mouse models for DM1. DM1 muscle showed major deregulation of calcium/calmodulin-dependent protein kinases II (CaMKIIs), which are key activity sensors regulating synaptic gene expression and acetylcholine receptor (AChR) recycling at the NMJ. Both mouse models displayed increased fragmentation of the endplate, which preceded muscle degeneration. Endplate fragmentation was not accompanied by changes in AChR turnover at the NMJ. However, expression of synaptic genes was up-regulated in DM1 muscle, which may be linked to the abnormally high activity of histone deacetylase 4 (HDAC4), a known target of CaMKII. Consistently, expression of myosin heavy chains was deregulated as well, leading to a major switch to type IIA fibres in Mbnl1{Delta}E3/{Delta}E3 muscle, and to a lesser extent in HSALR muscle. Interestingly, although HDAC4 was efficiently induced upon nerve injury, synaptic gene up-regulation was abrogated in DM1 muscle, together with a reduced increase in AChR turnover. This suggested that HDAC4-independent mechanisms lead to the defective response to denervation in DM1 muscle. Our study shows that activity-dependent signalling pathways are disturbed in DM1 muscle, which may contribute to NMJ destabilization and muscle dysfunction in DM1 patients.

physiology↗

bioRxiv2020

Complex interactions between weather, and microbial and physiochemical water quality impact the likelihood of detecting foodborne pathogens in agricultural water

Agricultural water is an important source of foodborne pathogens on produce farms. Managing water-associated risks does not lend itself to one-size-fits-all approaches due to the heterogeneous nature of freshwater environments, and because environmental conditions affect the likelihood of pathogen contamination and the relationship between indicator organism levels (e.g., E. coli) and pathogen presence. To improve our ability to develop location-specific risk management practices, a study was conducted in two produce-growing regions to (i) characterize the relationship between E. coli levels and pathogen presence in agricultural water, and (ii) identify environmental factors associated with pathogen detection. Three AZ and six NY waterways were sampled longitudinally using 10-L grab samples (GS) and 24-h Moore swabs (MS). Regression showed that the likelihood of Salmonella detection (Odds Ratio [OR]=2.18), and eaeA-stx codetection (OR=6.49) was significantly greater for MS compared to GS, while the likelihood of detecting L. monocytogenes was not. Regression also showed that eaeA-stx codetection in AZ (OR=50.2) and NY (OR=18.4), and Salmonella detection in AZ (OR=4.4) were significantly associated with E. coli levels, while Salmonella detection in NY was not. Random forest analysis indicated that interactions between environmental factors (e.g., rainfall, temperature, turbidity) (i) were associated with likelihood of pathogen detection and (ii) mediated the relationship between E. coli levels and likelihood of pathogen detection. Our findings suggest that (i) environmental heterogeneity, including interactions between factors, affects microbial water quality, and (ii) E. coli levels alone may not be a suitable indicator of the food safety risks. Instead, targeted methods that utilize environmental and microbial data (e.g., models that use turbidity and E. coli levels to predict when there is a high or low risk of surface water being contaminated by pathogens) are needed to assess and mitigate the food safety risks associated with preharvest water use. By identifying environmental factors associated with an increased likelihood of detecting pathogens in agricultural water, this study provides information that (i) can be used to assess when pathogen contamination of agricultural water is likely to occur, and (ii) facilitate development of targeted interventions for individual water sources, providing an alternative to existing one-size-fits-all approaches.

microbiology↗

bioRxiv2017

Strong homeostatic TCR signals induce formation of self-tolerant virtual memory CD8 T cells

Virtual memory T cells are foreign antigen-inexperienced T cells that have acquired memory-like phenotype and constitute for 10-20% of all peripheral CD8+ T cells in mice. Their origin, biological roles, and relationship to naive and foreign antigen-experienced memory T cells are incompletely understood. By analyzing TCR repertoires and using retrogenic monoclonal T-cell populations, we show that virtual memory T cells originate exclusively from strongly self-reactive T cells. Moreover, we show that the stoichiometry of the CD8 interaction with Lck regulates the size of the virtual memory T-cell compartment via modulating the self-reactivity of individual T-cell clones. We propose a so far unappreciated peripheral T-cell fate decision checkpoint that eventually leads to the differentiation of highly self-reactive T cells into virtual memory T cells. This underlines the importance of the variable level of self-reactivity in polyclonal T cells for the generation of functional T-cell diversity. Although virtual memory T cells descend from the highly self-reactive clones and acquire a partial memory program, they do not show higher capacity to induce autoimmune diabetes than naive T cells. Thus, virtual memory T cells are not generally more responsive than naive T cells, because their activity highly depends on the immunological context.\n\nSummaryWe conclude that virtual memory T cells are formed from self-reactive CD8+ T cells in a process regulated by CD8-Lck stoichiometry. Despite their self-reactivity and partial memory differentiation program, virtual memory T cells did not show a strong autoimmune potential.

immunology↗