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Regnier-Vigouroux, A.

Publications and source records attributed to Regnier-Vigouroux, A..

3 recordsLinked to original sources

A bistable circuit regulates miRNA-155 levels in human macrophage inflammatory transitions

Macrophages are crucial immune regulators as they can either trigger or resolve inflammation. These properties rely on defined inflammatory states and make macrophages valuable therapeutic targets. Identification of stable steady states and bistability in inflammatory transitions provides deeper insights into immune regulation and facilitates the development of novel therapeutic strategies. We present a multiomic and systems biology approach for the top-down identification of bistable circuits in human macrophages polarized towards pro- and anti-inflammatory phenotypes. Using differential gene expression profiles, we identified three criteria to suspect bistability: two potential attractors, a hysteresis behavior between their transitions, and the presence of potential modules of coregulated genes. This was further confirmed by proteomics data pointing to mutually exclusive and time-dependent profiles of gene expression. By network simplification and creation of a novel pipeline for parameter estimation in bistable models, we obtained a minimal model of inflammatory transitions in which we identified ultrasensitivity and hysteresis. Our minimal model genes establish a regulatory circuit switching miR-155 expression, which in turn regulates the expression of inflammatory marker genes during inflammatory transitions.

systems biology↗

Assessment of technical and clinical utility of a bead-based flow cytometry platform for multiparametric phenotyping of CNS-derived extracellular vesicles

Extracellular vesicles (EVs) derived from the CNS are potential liquid-biopsy markers for early detection and monitoring of neurodegenerative diseases and brain tumors. This study assessed the performance of a bead-based flow cytometry assay (EV Neuro) for multiparametric detection of CNS-derived EVs and identification of disease-specific markers. Different sample materials and EV isolation methods were compared. Glioblastoma- and primary human astrocyte-derived EVs exhibited distinct EV profiles, with signal intensities increasing with higher EV input. Analysis of serum or plasma from glioblastoma, multiple sclerosis, Alzheimers Disease patients and healthy controls showed varying marker signal intensities. Notably, data normalization improved marker identification. Specific EV populations, such as CD36+EVs in glioblastoma and GALC+EVs in multiple sclerosis, were significantly elevated in disease compared to controls. Clustering analysis techniques effectively differentiated glioblastoma patients from controls. A potential correlation between CD107a+EVs and neurofilament levels in the blood was identified in multiple sclerosis patients. Together, the semi-quantitative EV Neuro assay demonstrated its utility for EV profiling in complex samples. However, reliable statistical results in biomarker studies require large sample cohorts and high effect sizes. Nonetheless, this exploratory trial confirmed the feasibility of discovering EV-associated biomarkers and monitoring circulating EV profiles in CNS diseases using the EV Neuro assay.

neuroscience↗

MYC dosage compensation is mediated by miRNA-transcription factor interactions in aneuploid cancer

We hypothesize that dosage compensation of critical genes arises from systems-level properties for cancer cells to withstand the negative effects of aneuploidy. We identified several candidate genes in cancer multi-omics data and developed a biocomputational platform to construct a mathematical model of their interaction network with miRNAs and transcription factors, where the property of dosage compensation emerged for MYC and was dependent on the kinetic parameters of its feedback interactions with three micro-RNAs. These circuits were experimentally validated with a novel genetic tug-of-war technique by overexpressing an exogenous MYC leading to over-expression of the three microRNAs involved and down-regulation of endogenous MYC. In addition, MYC overexpression or inhibition of its compensating miRNAs led to dosage-dependent cytotoxicity in MYC-amplified colon cancer cells. Finally, we identified negative correlation of MYC dosage compensation with patient survival in TCGA breast cancer patients, highlighting the potential of this mechanism to prevent aneuploid cancer progression. HighlightsThe systems-level property of gene dosage-compensation emerges in silico in miRNA-transcription factor networks depending on the kinetic parameters of its interactions. We established a criterion to identify compensated candidate genes with low variation in expression despite high copy number variation. BioNetUCR is a novel biocomputational platform to model miRNA-transcription factor interactions We present a novel genetic tug-of-war technique to experimentally validate gene dosage compensation at the transcriptional level. O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=131 SRC="FIGDIR/small/440572v2_ufig1.gif" ALT="Figure 1"> View larger version (32K): org.highwire.dtl.DTLVardef@104a93forg.highwire.dtl.DTLVardef@1039ae9org.highwire.dtl.DTLVardef@1af41c6org.highwire.dtl.DTLVardef@1073e6a_HPS_FORMAT_FIGEXP M_FIG C_FIG

cancer biology↗