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Biology subjects

Costes, S. V.

Publications and source records attributed to Costes, S. V..

3 recordsLinked to original sources

The Great Deceiver: miR-2392's Hidden Role in Driving SARS-CoV-2 Infection

MicroRNAs (miRNAs) are small non-coding RNAs involved in post-transcriptional gene regulation that have a major impact on many diseases and provides an exciting avenue towards antiviral therapeutics. From patient transcriptomic data, we have discovered a circulating miRNA, miR-2392, that is directly involved with SARS-CoV-2 machinery during host infection. Specifically, we show that miR-2392 is key in driving downstream suppression of mitochondrial gene expression, increasing inflammation, glycolysis, and hypoxia as well as promoting many symptoms associated with COVID-19 infection. We demonstrate miR-2392 is present in the blood and urine of COVID-19 positive patients, but not detected in COVID-19 negative patients. These findings indicate the potential for developing a novel, minimally invasive, COVID-19 detection method. Lastly, using in vitro human and in vivo hamster models, we have developed a novel miRNA-based antiviral therapeutic that targets miR-2392, significantly reduces SARS-CoV-2 viability in hamsters and may potentially inhibit a COVID-19 disease state in humans.

systems biology

DNA break clustering inside repair domains predicts cell death and mutation frequency in human fibroblasts and in Chinese hamster cells for a 10^3x range of linear energy transfers

Cosmic radiation, composed of high charged and energy (HZE) particles, causes cell death and mutations that can subsequently lead to cancers. Radiation-mediated mutations are induced by inter- and intra-chromosomal rearrangements (translocations, deletions, inversions) that are triggered by misrepaired DNA breaks, especially double-strand breaks (DSBs). In this work, we introduce a new model to predict radiation-mediated induction of cell death and mutation in two different cell lines across a large range of linear energy transfer (LET) values, based on the assumption that DSBs cluster into repair domains, as previously suggested by our group. Specifically, we propose that the probabilities of cell survival and cell mutation can be determined from the number of DSBs and the number of pairwise DSB interactions forming radiation-induced foci. We computed the distribution and locations of DSBs with the new simulation code RITCARD (relativistic ion tracks, chromosome aberrations, repair, and damage) and combined them with experimental data from HF19 human fibroblasts and V79 Chinese hamster cells to derive the parameters of our model and expand its predictions to the relative biological effectiveness (RBE) for cell survival and mutation in both cell lines in response to 9 different irradiation particles and energies ranging from 10 to 1,600 MeV/n. Our model generates the correct bell shape of LET dependence for RBE, as well as similar RBE values as experimental data, notably including data that were not used to set the model parameters. Interestingly, our results also suggest that cell orientation (parallel or perpendicular) with respect to the HZE beam can modulate the RBE for both cell death and mutation frequency. Cell orientation effects, if confirmed experimentally, would be another strong piece of evidence for the existence of DNA repair domains and their critical role in interpreting cellular sensitivity to cosmic radiation and hadron therapy. AUTHOR SUMMARYOne of the main hazards of human spaceflight beyond low Earth orbit is space radiation exposure. Galactic cosmic rays (GCRs), in particular their high-charge and high-energy particle component, induce a unique spatial distribution of DNA double strand breaks in the nucleus along their traversal in the cell [1], which result in significantly higher cancer risk than X-rays [2]. To mitigate this hazard, there is a significant need to better understand and predict the effects of cosmic radiation exposure at the cellular level. We have computationally predicted two biological endpoints - cell survival and probability of mutations, critical for cancer induction mechanisms - for the full spectrum of cosmic radiation types and energies, by modeling the distribution of DNA damage locations within the cell nucleus. From experimental results of cell survival and mutation probability in two standard cell lines, we were able to derive the parameters of the model for multiple radiation qualities, both biological endpoints, and two irradiation orientations. The model was validated against biological data and showed high predictive capability on data not used for tuning the model. Overall, this work opens new perspectives to predict multiple responses to cosmic radiation, even with limited experimental data available.

cell biology

RNAseq analysis of rodent spaceflight experiments is confounded by sample collection techniques

To understand the physiological changes that occur in response to spaceflight, mice are transported to the International Space Station (ISS) and housed for variable periods of time before euthanasia on-orbit or return to Earth. Sample collection under such difficult conditions introduces confounding factors that need to be identified and addressed. We found large changes in the transcriptome of mouse tissues dissected and preserved on-orbit compared to tissues from mice euthanized on-orbit, preserved, and dissected after return to Earth. Changes due to preservation method eclipsed those between flight and ground samples making it difficult to identify spaceflight-specific changes. Follow-on experiments to interrogate the roles of euthanasia methods, tissue and carcass preservation protocols, and library preparation methods suggested that differences due to preservation protocols are exacerbated when coupled with polyA selection. This has important implications for the interpretation of existing datasets and the design of future experiments.

systems biology