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Messaoudi, C.

Publications and source records attributed to Messaoudi, C..

3 recordsLinked to original sources

Selective mRNA translation determines adaptative mutability of melanoma cells to anti-BRAF/MEK combination therapy

During their inevitable evolution towards acquired resistance to anti-cancer targeted therapies, cancer cells adopt distinct gene expression profiles that allow them to transiently adapt to and tolerate the treatment. Similar to bacterial cells that transiently tolerate antibiotics, cancer cells surviving therapy can increase their mutation rate, enhancing the likelihood of acquiring resistance-conferring mutations and evolving into resistant cells. This adaptive mutability has been linked to transcriptional reprogramming of DNA damage repair mechanisms and effective therapeutic strategies to target such mechanisms are currently lacking. Here we show that translational control mediates the adaptive mutability of melanoma drug-tolerant cells by regulating the translation of the error-prone non-homologous end joining (NHEJ) component 53BP1. The specific inhibition of 5UTR-driven 53BP1 mRNA translation was sufficient to impair NHEJ and mutability. We found that the eIF4A RNA helicase, a key component of the eIF4F translation complex, regulates 53BP1 mRNA translation. Consequently, targeting the eIF4A with two small molecule inhibitors significantly delays the acquisition of resistance to combination of BRAF and MEK inhibitors (BRAFi/MEKi) in BRAFV600-mutant melanoma xenograft models and cell lines by reducing the mutability of drug-tolerant cells. Our results demonstrate that a standard-of-care therapy for melanoma, by engaging non-genetic adaptation driven at the translational level, contributes to the evolution of drug-tolerant melanoma cells toward acquired resistance.

cancer biology↗

MAFA Phosphorylation Controls Beta-Cell Identity and Sex-Specific Pancreatic Disease Outcomes

Mafa is a critical transcription factor in pancreatic beta-cell biology, orchestrating insulin expression in response to glucose elevations. As a member of the large MAF protein family, MAFAs stability and activity are intricately regulated by GSK3-mediated phosphorylation. To decipher the functional roles of these phosphorylations, we engineered knock-in mice (Mafa4A/+) in which MAFA is rendered non-phosphorylatable. In all Mafa4A/+ animals, MAFA stability was markedly enhanced. Under high-fat diet (HFD) conditions, Mafa4A/+ males rapidly developed glucose intolerance, which was attributed to impaired glucose-stimulated insulin secretion. Bulk RNA sequencing revealed disrupted beta- cell identity, characterized by increased expression of MODY-associated genes and a delta-cell signature, suggesting beta-to-delta cell reprogramming, a hypothesis supported by lineage- tracing experiments. Conversely, Mafa4A/+ females exhibited hypoglycemia and, with age, developed pronounced inflammatory cystic ducts including mucinous cystic neoplasms (MCNs). Strikingly, MAFA protein was also detected in MCN biopsies from female patients, linking our findings to human pathology. Our results unveil a sex-biased impact of GSK3-mediated MAFA phosphorylation. The male phenotype closely parallels the MODY-like diabetes observed in patients with MAFA S64F mutations, implicating defective phosphorylation in disease etiology. The emergence of MCNs in female mice suggests a novel role for MAFA stability or mutations in the pathogenesis of these enigmatic neoplasms, providing a fresh molecular hypothesis with clinical relevance.

cell biology↗

Improvements on marker-free images alignment for electron tomography

Electron tomography is a technique to obtain three-dimensional structural information of samples. However, the technique is limited by shifts occurring during acquisition that need to be corrected before the reconstruction process. In 2009, we proposed an approach for post-acquisition alignment of tilt series images. This approach was marker-free, based on patch tracking and integrated in free software. Here, we present improvements to the method to make it more reliable, stable and accurate. In addition, we modified the image formation model underlying the alignment procedure to include different deformations occurring during acquisition. We propose a new way to correct these computed deformations to obtain reconstructions with reduced artifacts. The new approach has demonstrated to improve the quality of the final 3D reconstruction, giving access to better defined structures for different transmission electron tomography methods: resin embedded STEM-tomography and cryo-TEM tomography. The method is freely available in TomoJ software.

molecular biology↗