Biology subjects

Trevisan, C.

Publications and source records attributed to Trevisan, C..

7 recordsLinked to original sources

bioRxiv2026

Genome-wide arrayed CRISPR activation screen for prion protein modulators

The cellular prion protein (PrPC) is an essential substrate for prion propagation, and its abundance strongly influences susceptibility to prion disease. To systematically identify genetic regulators of PrPC abundance, we performed an arrayed genome-wide CRISPR activation (CRISPRa) screen targeting 19,839 human protein-coding genes in human glioblastoma cells. Using a quantitative time-resolved fluorescence resonance energy transfer (TR-FRET) immunoassay, we measured PrPC levels across 22,442 individual genetic perturbations. This screen identified 531 genes whose activation significantly modulated PrPC abundance. A curated subset of 50 candidates was subjected to validation using independent TR-FRET assays and Western blotting, confirming 45 (90%) of tested hits. All raw and processed screening data, metadata, and analysis code are publicly available. This dataset provides a comprehensive resource for studying genetic regulation of PrPC homeostasis and enables reuse for investigations of membrane protein trafficking, proteostasis, and prion biology.

neuroscience↗

bioRxiv2024

Quantitative 3D histochemistry reveals region-specific amyloid-β reduction by the antidiabetic drug netoglitazone

A hallmark of Alzheimers disease (AD) is the extracellular aggregation of toxic amyloid-beta (A{beta}) peptides in form of plaques. Here, we identify netoglitazone, an antidiabetic compound previously tested in humans, as an A{beta} aggregation antagonist. Netoglitazone improved cognition and reduced microglia activity in a mouse model of AD. Using quantitative whole-brain three-dimensional histology (Q3D), we precisely identified brain regions where netoglitazone reduced the number and size of A{beta} plaques. We demonstrate the utility of Q3D in preclinical drug evaluation for AD by providing a high-resolution brain-wide view of drug efficacy. Applying Q3D has the potential to improve pre-clinical drug evaluation by providing information that can help identify mechanisms leading to brain region-specific drug efficacy. Significance statementAlzheimers disease (AD) is the most prevalent neurodegenerative disease. Its primary symptom is progressive cognitive decline, which impairs executive brain functions and deprives patients of their autonomy in life. Experimental and clinical evidence points to the critical pathophysiological role of the amyloid-beta (A{beta}) peptide. Despite some limited successes in AD immunotherapy targeting A{beta}, AD is still incurable. Here, we use an innovative pipeline for accurate whole-brain measurements of A{beta} load to test the efficacy of the antidiabetic compound, netoglitazone. We found that netoglitazone decreases A{beta} burden in certain brain areas but not in others. Region-specific assessment of anti-A{beta} efficacy may be useful in the development of effective drugs against Alzheimers disease.

neuroscience↗

bioRxiv2024

Direct and indirect regulation of β- glucocerebrosidase by the transcription factors USF2 and ONECUT2

Mutations in the GBA gene, which encodes the lysosomal enzyme {beta}-glucocerebrosidase (GCase), are the most prevalent genetic susceptibility factor for Parkinsons disease (PD). However, only approximately 20% of carriers develop the disease, suggesting the presence of genetic modifiers influencing the risk of developing PD in the presence of GBA mutations. Here we screened 1,634 human transcription factors (TFs) for their effect on GCase activity in cell lysates of the human glioblastoma line LN-229, into which we introduced the pathogenic GBA L444P variant via adenine base editing. Using a novel arrayed CRISPR activation library, we uncovered 11 TFs as regulators of GCase activity. Among these, activation of MITF and TFEC increased lysosomal GCase activity in live cells, while activation of ONECUT2 and USF2 decreased it. Conversely, ablating USF2 increased GBA mRNA and led to enhanced levels of GCase protein and activity. While MITF, TFEC, and USF2 affected GBA transcription, ONECUT2 was found to control GCase trafficking by modulating the guanine exchange factors PLEKHG4 and PLEKHG4B. Hence, our study provides a systematic approach to identifying modulators of GCase activity, expands the transcriptional landscape of GBA regulation, and deepens our understanding of the mechanisms involved in influencing GCase activity.

molecular biology↗

bioRxiv2024

CD81-guided heterologous EVs present heterogeneous interactions with breast cancer cells

Extracellular vesicles (EVs) are cell-secreted particles conceived as natural vehicles for intercellular communication. The intrinsic biocompatibility, stability in biofluids, and heterogeneous molecular cargo of EVs promise advancements in targeted therapy applications. However, predicting cell-targeting spectrum and cargo delivery are fundamental challenges for exploiting EVs or hybrid formulations. In this work, we combined cell-based and biochemical approaches to understand if secreted EVs show predictable EV-cell interactions and consequent cargo delivery. We exploited the tetraspanin CD81 to encode full-length recombinant proteins with a C-terminal GFP reporter encompassing or not Trastuzumab light chains targeting the HER2 receptor. These fusion proteins participated in vesicular trafficking dynamics and accumulated on secreted EVs when transiently over-expressed in HEK293T cells. Despite the presence of GFP, secreted EV populations retained a HER2 receptor-binding capacity and were used in EV-cell interaction assays. In time-frames where the global GFP spot distribution did not change between HER2-positive (SK-BR-3) or -negative (MDA-MB-231) breast cancer cell lines, the HER2 manipulation in isogenic cells remarkably affected the tropism of heterologous EVs. In this line, secreted doxorubicin-EVs, which showed improved efficacy compared to the free drug, had a reduced cell-killing activity on SK-BR-3 with a knocked-out HER2 receptor. Interestingly, the fusion protein-corresponding transcripts also present as full-length mRNAs in recombinant EVs could reach orthotopic breast tumors in JIMT-1-xenografted mice, as detected by ddPCR in tissue biopsies, improving our sensitivity in detecting bioavailable cargoes. These data show multiple mechanisms underlying EV-cell interactions and prioritize the profiling of surfaceomes for better comprehension of cell engagement and design new generations of EV-based nanovehicles.

molecular biology↗

bioRxiv2022

Extracellular matrix educates a tumor macrophage phenotype found in ovarian cancer metastasis

Recent studies have shown the tumor extracellular matrix (ECM) associates with immunosuppression, and that targeting the ECM can improve immune infiltration and immunotherapy response. A question that remains is whether the ECM is directly educating the immune phenotypes seen in cancer. We identified a tumor-associated macrophage (TAM) population correlated with poor prognosis, interruption of the cancer immunity cycle, and tumor ECM composition. To investigate whether ECM was capable of generating the TAM phenotype seen, we developed a decellularized tissue model that retains the native ECM architecture and composition. Macrophages cultured on decellularized ovarian metastasis shared transcriptional profiles with the TAMs found in human tissues. ECM educated macrophages have a tissue remodeling and immunoregulatory phenotype, inducing altered T cell function. We conclude that the tumor ECM is directly educating this macrophage population found in cancer tissues. Therefore, current and emerging cancer therapies that target the tumor ECM may be tailored to improve macrophage phenotype and their downstream regulation of immunity.

cancer biology↗

bioRxiv2022

Robust and Versatile Arrayed Libraries for Human Genome-Wide CRISPR Activation, Deletion and Silencing

Arrayed CRISPR libraries extend the scope of gene-perturbation screens but require large numbers of efficacious sgRNA-expressing vectors. Using a newly invented liquid-phase plasmid cloning methodology, we constructed genome-wide arrayed libraries for human gene ablation (19,936 plasmids), activation, and epigenetic silencing (22,442 plasmids). At least 76% of each plasmid preparation encoded an intact array of 4 non-overlapping sgRNAs designed to tolerate most human DNA polymorphisms. We achieved perturbation efficacies of 75-99%, 76-92% and up to 10,000x in deletion, silencing and activation experiments, respectively. Upon conversion into massively parallel lentiviral vectors, an arrayed activation screen of 1,634 human transcription factors yielded 11 novel regulators of the cellular prion protein PrPC. Furthermore, a screen using a pooled version of the ablation library identified 5 novel modifiers of autophagy that went undetected with either of two 1sgRNA libraries. The CRISPR libraries described here represent a powerful resource for the targeted perturbation of human protein-coding genes.

genomics↗

bioRxiv2021

Quantitative 3D microscopy reveals a genetic network predicting the local activity of anti-Aβ compounds

Many efforts targeting amyloid-{beta} (A{beta}) plaques for the treatment of Alzheimers Disease thus far have resulted in failures during clinical trials. Regional and temporal heterogeneity of efficacy and dependence on plaque maturity may have contributed to these disappointing outcomes. In this study, we mapped the regional and temporal specificity of various anti-A{beta} treatments through high-resolution light-sheet imaging of electrophoretically-cleared brains. We assessed the effect on amyloid plaque formation and growth in Thy1-APP/PS1 mice subjected to {beta}-secretase inhibitors, polythiophenes, or anti-A{beta} antibodies. Each treatment showed unique spatiotemporal A{beta} clearance, with polythiophenes emerging as a potent anti-A{beta} compound. Furthermore, aligning with a spatial-transcriptomic atlas revealed transcripts that correlate with the efficacy of each A{beta} therapy. As observed in this study, there is a striking dependence of specific treatments on the location and maturity of A{beta} plaques. This may also contribute to the clinical trial failures of A{beta}-therapies, suggesting that combinatorial regimens may be significantly more effective in clearing amyloid deposition.

neuroscience↗