Biology subjects

Casagrande, F.

Publications and source records attributed to Casagrande, F..

4 recordsLinked to original sources

bioRxiv2026

A distal CTCF-binding site drives MYC expression plasticity in a negative feed-forward loop

Oncogene expression heterogeneity systemically diversifies cancer cell phenotypes, enabling selection and cancer evolution. Here we document that the level of MYC expression variation is coordinated by a negative feed-forward loop involving the non-coding CCAT1 eRNA and the MYC gating process. While CCAT1 eRNA indirectly antagonizes MYC gating by promoting MYC transcriptional initiation and elongation, the MYC protein promotes gated MYC expression in a feedback loop by inhibiting both MYC transcription and CCAT1 expression. This entire process is coordinated by a CTCF binding site positioned within CCAT1 at a distal, oncogenic super-enhancer, which functions as a master switch by coordinating both CCAT1 and gated MYC expression to diversify cells toward both low and high MYC levels, as determined by heterogeneity metrics. As hallmarks of this principle are frequent in breast cancer and colorectal tumors, the dynamics of this new principle may underlie transitions between therapy-resistant low-MYC, and proliferative high-MYC tumor cells. Highlights- Transcriptional rate regulates MYC gating frequency - CCAT1 expression indirectly inhibits MYC gating by promoting MYC transcription - High MYC protein levels promote gated expression by inhibiting both MYC transcription and CCAT1 expression - These features are controlled by a single CTCF binding in the distant super-enhancer to drive expression plasticity in colorectal cancer cells

cancer biology↗

bioRxiv2026

Human basal radial glia morphotypes are transcriptionally distinct and exhibit different cell fate determination

Basal radial glia (bRG) are key neural progenitors driving human neocortical expansion. They exhibit remarkable morphological heterogeneity, yet the stability and functional significance of their distinct morphotypes remains unclear. Using human cortical brain organoids combined with long-term live imaging and morphology-resolved spatial transcriptomics (CellShape-seq), we show that bRG morphotypes display distinct morphodynamic behaviors, proliferative capacities and transcriptional profiles. While bifurcated bRG remodel extensively during mitosis to produce morphologically diverse progeny, multipolar cells are most morphologically flexible during interphase. Multipolar bRG further show the greatest proliferative capacity and the transcriptional signature related to progenitor state. Bifurcated bRG are least proliferative and are enriched for the multifunctional gene expression regulator YBX1. Pharmacological inhibition of YBX1 depletes bifurcated bRG, reduces neurogenesis, and promotes glial commitment. Our findings link progenitor morphology, gene expression and fate, providing a framework for understanding the cellular logic of human cortical development.

neuroscience↗

bioRxiv2025

MicroSplit: Semantic Unmixing of Fluorescent Microscopy Data

Fluorescence microscopy, a key driver for progress in the life sciences, faces limitations due to the microscopes optics, fluorophore chemistry, and photon exposure limits, necessitating trade-offs in imaging speed, resolution, and depth. Here, we introduce Micro[S]plit, a computational multiplexing technique based on deep learning that allows multiple cellular structures to be imaged in a single fluorescent channel and then unmix them by computational means, allowing faster imaging and reduced photon exposure. We show that Micro[S]plit efficiently separates up to four superimposed noisy structures into distinct denoised fluorescent image channels. Furthermore, using Variational Splitting Encoder-Decoder (VSE) networks, our approach can sample diverse predictions from a trained posterior of solutions. The diversity of these samples scales with the uncertainty in a given input, allowing us to estimate the true prediction errors by computing the variability between posterior samples. We demonstrate the robustness of Micro[S]plit networks, which are trained for each splitting task at hand, across various datasets and noise levels and show its utility to image more, to image faster, and to improve downstream analysis. We provide Micro[S]plit along with all associated training and evaluation datasets as open resources, enabling life scientists to immediately benefit from the potential of computational multiplexing and thus help accelerate the rate of their scientific discovery process.

bioinformatics↗

bioRxiv2020

Amyloid aggregates accumulate in melanoma metastasis driving YAP mediated tumor progression

Melanoma progression is generally associated to increased Yes-associated protein (YAP) mediated transcription. Actually, mechanical signals from the extracellular matrix are sensed by YAP, which activates proliferative genes expression, promoting melanoma progression and drug resistance. Which and how extracellular signals induce mechanotransduction is not completely understood. Herein, by secretome studies, we revealed an extracellular accumulation of amyloidogenic proteins, i.e. premelanosome protein (PMEL), together with proteins that assist amyloids maturation into fibrils. Indeed, we confirmed the presence of amyloid-like aggregates similar to those detected in Alzheimer disease. These aggregates were enriched in metastatic cell lines as well as in human melanoma biopsies, compared to their primitive counterpart. Mechanistically, we proved that beta-secretase (BACE) regulates the maturation of these aggregates and that its inhibition hampers YAP activity. Moreover, recombinant PMEL fibrils induce per se mechanotransduction promoting YAP activation. Finally, BACE inhibition affects cell proliferation and increases drug sensitivity. These results highlight the importance of amyloids for melanoma survival and the potential of beta-secretase inhibitors as new therapeutic approach to metastatic melanoma.

cancer biology↗