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Ambrosi, C.

Publications and source records attributed to Ambrosi, C..

4 recordsLinked to original sources

SETD2 promotes PAF1C interactions with the elongating RNA Pol II and is required for neuronal differentiation

Chromatin modifications are relevant for mammalian development and their aberrant deposition is associated with human disease. While the mechanisms that deposit and remove these modifications have been largely elucidated, their role in regulating gene activity during cellular differentiation have yet to be completely understood. By differentiating a panel of mouse embryonic stem cells lacking major chromatin regulators towards neuronal cells, we identified their requirement at different stages of cellular differentiation. We show that the H3K36me3 methyltransferase SETD2 is important for the establishment of neuronal gene expression during late stages of differentiation, but is dispensable once the cells have fully differentiated. This function is largely independent of the histone methyltransferase activity. By measuring the protein interaction network of elongating RNA Pol II, we identify a novel role for SETD2 in mediating interactions between the PAF1 complex and the elongating RNA Pol II, which is required to ensure optimal transcriptional processivity of neuronal genes.

molecular biology↗

A semiconductor 96-microplate platform for real-time impedance-based high-throughput screening

Profiling compounds and genetic perturbations via high-content imaging has become increasingly popular for drug discovery, but the technique is limited to endpoint images of fixed cells. In contrast, electronic-based devices offer label-free, functional information of live cells, yet current approaches suffer from low-spatial resolution or single-well throughput. Here, we report a semiconductor 96-microplate platform designed for high-resolution real-time impedance "imaging" at scale. Each well features 4,096 electrodes at 25 {micro}m spatial resolution while a miniaturized data interface allows 8x parallel plate operation (768 total wells) within each incubator for enhanced throughputs. New electric field-based, multi-frequency measurement techniques capture >20 parameter images including tissue barrier, cell-surface attachment, cell flatness, and motility every 15 min throughout experiments. Using these real-time readouts, we characterized 16 cell types, ranging from primary epithelial to suspension, and quantified heterogeneity in mixed epithelial and mesenchymal co-cultures. A proof-of-concept screen of 904 diverse compounds using 13 semiconductor microplates demonstrates the platforms capability for mechanism of action (MOA) profiling with 25 distinct responses identified. The scalability of the semiconductor platform combined with the translatability of the high dimensional live-cell functional parameters expands high-throughput MOA profiling and phenotypic drug discovery applications.

bioengineering↗

Neuro-Environmental Interactions: a time sensitive matter

The assessment of resting state (rs) neurophysiological dynamics relies on the control of sensory, perceptual, and behavioral environments to minimize variability and rule-out confounding sources of activation during testing conditions. Here, we investigated how temporally-distal environmental inputs, specifically metal exposures experienced up to several months prior to scanning, affect functional dynamics measured using rs functional magnetic resonance imaging (rs-fMRI). We implemented an interpretable XGBoost-Shapley Additive Explanation (SHAP) model that integrated information from multiple exposure biomarkers to predict rs dynamics in typically developing adolescents. In 124 participants (53% females, ages: 13-25 years) enrolled in the Public Health Impact of Metals Exposure (PHIME) study, we measured concentrations of six metals (manganese, lead, chromium, cupper, nickel and zinc) in biological matrices (saliva, hair, fingernails, toenails, blood and urine) and acquired rs-fMRI scans. Using graph theory metrics, we computed global efficiency (GE) in 111 brain areas (Harvard Oxford Atlas). We used a predictive model based on ensemble gradient boosting to predict GE from metal biomarkers, adjusting for age and biological sex. Model performance was evaluated by comparing predicted versus measured GE. SHAP scores were used to evaluate feature importance. Measured versus predicted rs dynamics from our model utilizing chemical exposures as inputs were significantly correlated (p< 0.001, r = 0.36). Lead, chromium, and copper contributed most to the prediction of GE metrics. Our results indicate that a significant component of rs dynamics, comprising approximately 13% of observed variability in GE, is driven by recent metal exposures. These findings emphasize the need to estimate and control for the influence of past and current chemical exposures in the assessment and analysis of rs functional connectivity.

neuroscience↗

Nucleosomal Asymmetry Shapes Histone Mark Binding and Promotes Poising at Bivalent Domains

Promoters of developmental genes in embryonic stem cells (ESCs) are marked by histone H3 lysine 4 trimethylation (H3K4me3) and H3K27me3 in an asymmetric nucleosomal conformation, with each sister histone H3 carrying only one mark. These bivalent domains are thought to poise genes for timely activation upon differentiation. Here we show that asymmetric bivalent nucleosomes recruit repressive H3K27me3 binders but fail to enrich activating H3K4me3 binders, despite presence of H3K4me3, thereby promoting a poised state. Strikingly, the bivalent mark combination further attracts chromatin proteins that are not recruited by each mark individually, including the histone acetyltransferase complex KAT6B (MORF). Knockout of KAT6B blocks neuronal differentiation, demonstrating that bivalency-specific readers are critical for proper ESC differentiation. These findings reveal how histone mark bivalency directly promotes establishment of a poised state at developmental genes, while highlighting how nucleosomal asymmetry is critical for histone mark readout and function.

molecular biology↗