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Geifman, N.

Publications and source records attributed to Geifman, N..

2 recordsLinked to original sources

Viral pIC-pocketing: RSV sequestration of eIF4F Initiation Complexes into bi-phasic biomolecular condensates

Orthopneumoviruses characteristically form membrane-less cytoplasmic inclusion bodies (IBs) wherein RNA replication and transcription occur. Herein, we report a strategy whereby the orthopneumoviruses sequester various components of the eiF4F Initiation Complex machinery into viral IBs to facilitate translation of their own mRNAs; pIC-pocketing. Mass spectrometry analysis of sub-cellular fractions from RSV-infected cells identified significant modification of the cellular translation machinery; however; interestingly, ribopuromycylation assays showed no changes to global levels of translation. Electron micrographs of RSV-infected cells revealed bi-phasic organisation of IBs; specifically, spherical "droplets" nested within the larger inclusion. Using correlative light and electron microscopy (CLEM), combined with fluorescence in situ hybridisation (FISH), we showed that the observed bi-phasic morphology represents functional compartmentalisation of the IB and that these domains are synonymous with the previously reported inclusion body associated granules (IBAGs). Detailed analysis demonstrated that IBAGs concentrate nascent viral mRNA, the viral M2-1 protein as well as many components of the eIF4F complex, involved in translation initiation. Interestingly, although ribopuromycylation-based imaging indicates the majority of viral mRNA translation likely occurs in the cytoplasm, there was some evidence for intra-IBAG translation, consistent with the likely presence of ribosomes in a subset of IBAGs imaged by electron microscopy. The mechanistic basis for this pathway was subsequently determined; the viral M2-1 protein interacting with eukaryotic translation initiation factor 4G (eIF4G) to facilitate its transport between the cytoplasm and the separate phases of the viral IB. In summary, our data shows that IBs function to spatially regulate early steps in viral translation within a highly selective biphasic liquid organelle.

microbiology↗

Multimorbidity states with high sepsis-related deaths: a data-driven analysis in critical care

Sepsis remains a complex medical problem and a major challenge in healthcare. Diagnostics and outcome predictions are focused on physiological parameters with less consideration given to patients medical background. Given the aging population, not only are diseases becoming increasingly prevalent but occur more frequently in combinations (\"multimorbidity\"). Thus, it is imperative we incorporate morbidity state in our healthcare models.\n\nWe investigate effects of multimorbidity on the occurrence of sepsis and associated mortality in critical care (CC) through analysis of 36390 patients from the open source Medical Information Mart for Intensive Care III (MIMIC III) dataset. Morbidities were defined based on Elixhauser categories, a well-established scheme distinguishing 30 classes of chronic diseases. Using latent class analysis (LCA) we identified six clinically distinct subgroups based on demographics, admission type and morbidity compositions. Subgroup of middle-aged patients with health consequences of drug and alcohol addiction had the highest mortality rate, over 2-fold greater compared to other groups with older patients and complex multimorbid patterns. The findings promote incorporation of multimorbidity in healthcare models and the shift away from current single-disease paradigm in clinical practice, training and trial design.

bioinformatics↗