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Miraux, S.

Publications and source records attributed to Miraux, S..

2 recordsLinked to original sources

Scribble controls social behaviors through the regulation of the ERK/Mnk1 pathway

Social behavior is a basic domain affected in several neurodevelopmental disorders. Indeed, deficits in social interest, interactions and recognition represent core symptoms of Autism Spectrum Disorder but are also found associated with a heterogeneous set of neuropsychiatric and rare disorders. The SCRIB gene that codes for the polarity protein SCRIBBLE has been identified as a risk gene for spina bifida, the most common type of open neural tube defect, found at high frequencies in autistic patients, as other congenital anomalies, while the deletions/mutations of the 8q24.3 region encompassing SCRIB genes is associated with multisyndromic and rare disorders. Nonetheless, the potential link between SCRIB and ASD-relevant social phenotypes has not been investigated yet. Hence, we performed an extensive behavioral characterization of the circletail line that carries a mutated version of Scrib. Scribcrc/+ mice displayed reduced social interest, lack of preference for social novelty and social reward, and reduced social habituation while other behavioral domains were unaltered. Social deficits were associated with reduced hippocampal volume, upregulation of ERK phosphorylation in specific hippocampal regions, together with increased c-Fos activity in the same brain areas. Importantly, the social alterations were rescued by both direct and indirect pERK inhibition. These results support a specific link between polarity genes, social behaviors and hippocampal functionality, thus suggesting a role for SCRIB in the etiopathology of neurodevelopmental disorders. Furthermore, our data demonstrate the crucial role of the MAPK/ERK signaling pathway, in underlying the social deficits induced by SCRIB mutation, thus supporting its relevance as a therapeutic target.

neuroscience↗

A multi-layered systems approach for renal cell carcinoma

Renal cell carcinoma (RCC) still lacks prognostic and predictive biomarkers to monitor the disease and the response to therapy. The usual strategy in translational research is to start from human samples, to identify molecular markers and gene networks and then to functionally validate them in vitro and in animal models. We devised herein a completely opposite strategy from "mouse to man" by performing an aggressiveness screen and used functional genomics, imaging, clinical data and computational approaches in order to discover molecular pathways and players in renal cancer development and metastasis. Multiple cell lines for primary tumor growth, survival in the blood circulation and lung metastasis or metastatic spread from the primary tumor were generated and analyzed using a multi-layered approach which includes large-scale transcriptome, genome and methylome analyses. Transcriptome and methylome analyses demonstrated distinct clustering in three different groups. Remarkably, DNA sequencing did not show significant genomic variations in the different groups which indicates absence of clonal selection during the in vivo amplification process. Transcriptome analysis revealed distinct signatures of tumor aggressiveness which were validated in patient cohorts. Methylome analysis of full-length DNA allowed clustering of the same groups and revealed clinically relevant signatures. Furthermore, we identified SAA2 and CFB as soluble prognostic and predictive biomarkers of the therapeutic response. We also uncovered IL34 as another soluble prognostic biomarker and key regulator of renal cell carcinoma (RCC) progression. This was also functionally validated in vivo, and a mathematical model of IL34-dependent primary tumor growth and metastasis development was provided. These results indicate that such multilayered analysis in a RCC animal model leads to meaningful results that are of translational significance. One Sentence SummaryAn aggressiveness screen with multilayer systems analysis to identify signatures and biomarkers for renal cell carcinoma aggressiveness.

cancer biology↗