Biology subjects

Benadjaoud, M. A.

Publications and source records attributed to Benadjaoud, M. A..

3 recordsLinked to original sources

bioRxiv2024

The DNA damage response relies on the characteristics of ionizing particles in myogenic cells

DNA integrity and stability are vital for proper cellular activity. Nevertheless, to treat cancer patients, DNA is the main target for inducing tumoral cell death. Nowadays, cancer treatment is improving by the development of new technologies, protocols and strategies. Amongst them, the charged particle radiotherapies are becoming prevalent. However, tumor-neighboring healthy tissues are still exposed to ionizing radiations (IR) and subject to late side effects. Skeletal muscle is one of those tissues most likely to be affected. To decipher the DNA damage response (DDR) of skeletal muscle cells, myogenic cells, we irradiated them with microbeams of protons or -particles and followed the accumulation of DDR proteins at localized irradiation sites. Thereby, we showed that myoblasts, proliferating myogenic cells, repair local IR-induced DNA damage through both non-homologous end-joining and homologous recombination with different recruitment dynamics depending on the characteristics of ionizing particles (type, energy deposition and time after irradiation), whereas myotubes, post-mitotic myogenic cells, display globally reduced DNA damage response.

cell biology↗

bioRxiv2024

Comparing cellular response to two radiation treatments based on key features visualization

MotivationIn modern treatment by radiotherapy, different irradiation modalities can be used, potentially producing different amounts of adverse effects. The differences between these modalities are often studied via two-sample time course in vitro experiments. The resulting data may be of high complexity, in which case simple methods are unadapted for extracting all the relevant information. MethodsIn this article we introduce network-based tools for the visualization of the key statistical features, extracted from the data. For the key features extraction we utilize a statistical framework performing estimation, clustering with alignment of temporal omic fold changes originating from two-sample time course data. ResultsThe approach was applied to real transcriptomic data obtained with two different types of irradiation. The results were analyzed using biological literature and enrichment analysis, thus validating the robustness of the proposed tools as well as achieving better understanding of the differences in the impact of the treatments in question. Availability and implementationPython package freely available here: https://github.com/parsenteva/scanofc. Contactpolina.arsenteva@u-bourgogne.fr

bioinformatics↗

bioRxiv2019

Effects of repetitive Iodine Thyroid Blocking on the Development of the Foetal Brain and Thyroid in rats: a Systems Biology approach

A single dose of potassium iodide (KI) against repeated exposure to radioactive iodine, such as the one of the Fukushima accident, might not be effective enough to protect the thyroid. Our group showed that repetitive dose of KI for eight days offers efficient protection without toxic effects in adult rats. However, the effect of repetitive KI on the developing foetus still unknown especially on brain development, but a correlation between the impaired maternal thyroid status and a decrease in intelligence quotient has been observed. In this study, gene expression analysis of the progeny of repetitive KI-administered pregnant rats performed by our group showed distinct gene expression profile from two different organs: thyroid and cortex. To understand how these differentially expressed genes are implicated in the observed behaviour change, a systems biology approach was used to construct networks using three different techniques; Bayesian statistics using ShrinkNet, sPLS-DA on the DIABLO platform using mixOmics and manual construction of a Process Descriptive network. For each organ, we were able to construct gene expression network, to select genes that are most contributing to either control or KI-treated groups, respectively, and to construct the PD network from differentially expressed (DE) gene enriched with data from publications. Furthermore, we were able to connect DE genes from both organs into one network with genes from both organ participating in the same cellular processes that affect mitophagy and neuronal outgrowth.\n\nThis work may help to evaluate the doctrine for using KI in case of repetitive or prolonged exposure to radioactive particles upon nuclear accidents.

systems biology↗