Biology subjects

Mograbi, B.

Publications and source records attributed to Mograbi, B..

4 recordsLinked to original sources

bioRxiv2026

Single-cell transcriptomics reveals a differential response of human bronchial epithelial cell-types to cadmium chloride

Exposure of cells or tissues to chemical compounds can be analyzed through transcriptomic signatures, which can be used to classify chemical agents. This information can also enrich Adverse Outcome Pathways (AOP). Transcriptional signatures have generally been obtained using "bulk" analysis, by which the global gene expression pattern of an entire tissue is determined. Although this approach has been useful in toxicology, some information is lost, especially when tissues containing multiple cell types are considered. With the advent of single-cell transcriptomics (scRNA-seq), it is now possible to obtain higher resolution, cell type-specific responses in complex tissues. The aim of the present study was to evaluate the added value of scRNA-seq in analysis of the acute response of human bronchial epithelial cells grown at the air/liquid interface (ALI) to a known toxic compound, CdCl2, with well described transcriptional signatures of exposure. Fully differentiated mucocilliary epithelia obtained from three independent donors were exposed to 10 {micro}M CdCl2 and scRNA-seq analysis was performed on a total of 18255 cells to obtain cell type-specific signatures. Our results show that the contribution of each cell type to the overall transcriptomic bulk response varies. For example, the classical heavy metal detoxification response was only detected in multiciliated and secreting cells, while absent in basal cells. The data demonstrate that scRNA-seq provides high-resolution transcriptional signatures with unexpected features. This added information is likely to have implications for the refinement of AOPs and could serve as a basis for a new generation of tests in predictive toxicology.

pharmacology and toxicology↗

bioRxiv2025

Glucocorticoids Modulate mRNA Translation Fate Through P-Body Dynamics

Processing bodies (P-bodies) are cytoplasmic, membraneless organelles that play a key role in regulating RNA translation. To identify new pathways controlling their formation, we conducted a Food and Drug Administration (FDA)-approved drug screen. We found that glucocorticoids, among the most prescribed medicines, significantly increase P-body numbers across diverse epithelial cell types. This effect was fully reversible after glucocorticoid withdrawal, illustrating the adaptive dynamics of P-bodies. Using genetic invalidation and rescue approaches, we demonstrated that this accumulation requires the Glucocorticoid Receptor alpha isoform. P-body accumulation was associated with the sequestration of P-body-specific-targeted mRNAs, altering their translation yield. Notably, this translational regulation depends on transcript sequence features rather than abundance, with AU-rich mRNA transcripts being sequestered and GC-rich mRNAs preferentially translated under glucocorticoid treatment. Furthermore, we linked the decrease of LSM14B, a negative regulator of P-bodies, under glucocorticoid treatment to P-body reshaping. Our results reveal that, beyond their known transcriptional activity, prolonged exposure to glucocorticoids influences mRNA post-transcription and translation through a nucleotide composition-based mechanism.

cell biology↗

bioRxiv2025

Comprehensive mapping of identical epitopes across human proteins reveals implications for immune recognition and therapeutic design

Shared epitopes create safety and efficacy issues for T-cell immunotherapy. In order to facilitate the monitoring of immune responses and the engineering required to solve this problem, we performed a computational proteome-wide epitope screening to establish the complete atlas of shared epitopes in the human and murine proteomes. Unlike bacterial or viral antigens, self-antigens like tumor-associated antigens (TAAs) frequently contained a high level of shared MHC-II epitopes identical to unintended other self-proteins. Therefore, shared epitopes should be a mandatory and systematic concern in studies using TAA. Noticeably, a subset of TAAs identified in this atlas is free of this drawback. Therefore, this dataset will be essential for immunologists designing cancer vaccines, but also to interpret immunomonitoring studies against self-antigens in oncology and autoimmunity. To facilitate the detection of common epitopes, a web server has been made available at https://epitopscanner.ircan.org/.

bioinformatics↗

bioRxiv2021

Processing body dynamics drive non-genetic MEK inhibitors tolerance by fine-tuning KRAS and NRAS translation

Overactivation of the Mitogen-activated protein kinase (MAPK) pathway is a critical driver of many human cancers. However, therapies targeting this pathway have proven effective in only a few cancers, as cancers inevitably develop resistance. Puzzling observations suggest that MAPK targeting fails in tumors due to early compensatory RAS overexpression, albeit by unexplained mechanisms. We identified a novel mechanism of drug tolerance to MEK inhibitors (MEKi) that involves Processing Bodies (PBs), a membraneless organelle (MLO). MEKi promoted translation of the oncogenes KRAS and NRAS, which in turn triggered BRAF phosphorylation. This overexpression, which occurred in the absence of neotranscription, depended on PB dissolution as the source of the RAS mRNA. Moreover, in response to MEKi removal, the process was dynamic as PBs rapidly reformed and reduced MAPK signaling. These results highlight a dynamic spatiotemporal negative feedback loop of MAPK signaling via RAS mRNA sequestration. Furthermore, we observed a phenotype with a low number of PBs along with strong KRAS and NRAS induction capacities. Overall, we describe a new intricate mechanism involving PBs in the translational regulation of essential cellular signaling pathways like MAPKs, paving the way for future therapies altering MLO and thereby improving targeted cancer therapies.

cancer biology↗