Biology subjects

Milior, G.

Publications and source records attributed to Milior, G..

3 recordsLinked to original sources

bioRxiv2025

Mapping glioblastoma spreading: connexin43 and glial dynamic in mouse and human glioblastoma microenvironment

High-grade gliomas (HGGs), including astrocytoma and glioblastoma (GBM), constitute the most prevalent primary tumors of the central nervous system (CNS). GBM cells demonstrate a notable ability to infiltrate the brain parenchyma, precluding complete surgical resection. Here we investigated the spreading of GBM cells and the response of the CNS microenvironment focusing on glial cells, which are essential interactors to GBM. We used acute and organotypic slices from the mouse brain and peritumoral cortex of patients with HGGs. We found that human peritumoral tissue from cortical resection was characterized by high levels of the astrocytic Connexin43 protein (Cx43) and discrete infiltration of microglia. In contrast, the tumor core exhibited high myeloid infiltration and an altered extracellular matrix (ECM) composition, which was poor in CD44. We tracked mouse and primary human-labeled-GBM cells in 2D cultures and in co-culture with organotypic slices generated from mouse brain and human peritumoral tissues. We found that the implanted GBM cells infiltrated the brain tissue, implying early glial modifications including an increase in Cx43 expression and distribution. Furthermore, the blockage of Cx43 hemichannels was accompanied by morphological changes and polarization of human GBM cells, typical for migration phenomena. The present study sheds light on the dynamics of GBM cells spreading in the living brain tissue, suggesting that the progression of the tumor correlates with changes within the host brain. Our findings identify the upregulation of Cx43 expression as a highly consistent modification in both mouse and human tissue that may be crucial for GBM infiltration.

neuroscience↗

bioRxiv2024

Unveiling the Functional Connectivity of Astrocytic Networks with AstroNet, a Graph Reconstruction Algorithm Coupled to Image Processing

Astrocytes form extended intercellular networks, displaying complex calcium activity. However, the specific organization of these astrocytic networks and the precise extent of their functional connectivity in different brain areas remain unexplored. To unveil the functional architecture of astrocytic networks, we developed, using a data-driven methodology, a novel algorithm called AstroNet that uses two-photon calcium imaging to map temporal correlations in activation events among neighboring astro-cytes. Our approach involves reconstructing functional astrocytic networks by organizing individual astrocyte activation events chronologically. This chronological order creates activity paths that enable the extraction of local astrocyte functional correlations. Ultimately, by tallying the occurrences of direct co-activations between pairs of cells along these pathways, we construct a graph that mirrors the underlying astrocyte functional network. By applying this method to two distinct brain regions (CA1 hippocampus and motor cortex), we identified notable differences in local network organizations in sub-regions of around 20-40 astrocytes. Specifically, the cortex exhibited a lower connectivity, while astrocytes in the hippocampus displayed stronger connections. Moreover, we found that in both regions, astrocytic networks consist of smaller, tightly connected sub-networks embedded within a larger, more loosely connected one. Altogether, our innovative method enables the identification of activation paths among astrocytes, facilitates the characterization of local network functional connectivity, and quantifies distinct connectivity patterns among astrocytes from different brain regions. This approach sheds light on the heterogeneous functional organization of astrocytic networks within the brain, pointing to region-specific astrocyte connectivity.

neuroscience↗

bioRxiv2022

Translational regulation by RACK1 in astrocytes represses KIR4.1 expression and regulates neuronal activity

The regulation of translation in astrocytes, the main glial cells in the brain, remains poorly characterized. We developed a high-throughput proteomic screen for polysome-associated proteins in astrocytes and focused on the ribosomal protein receptor of activated protein C kinase 1 (RACK1), a critical factor in translational regulation. In astrocyte somata and perisynaptic astrocytic processes (PAPs), RACK1 preferentially bound to a number of mRNAs, including Kcnj10, encoding the inward rectifying potassium (K+) channel KIR4.1, a critical astrocytic regulator of neurotransmission. By developing an astrocyte-specific, conditional RACK1 knock-out mouse model, we showed that RACK1 repressed the production of KIR4.1 in hippocampal astrocytes and PAPs. Reporter-based assays revealed that RACK1 controlled Kcnj10 translation through the transcripts 5 untranslated region. Upregulation of KIR4.1 in the absence of RACK1 modified the astrocyte territory volume and neuronal activity attenuatin burst frequency and duration in the hippocampus. Hence, astrocytic RACK1 represses KIR4.1 translation and influences neuronal activity.

neuroscience↗