Biology subjects

Ceccarelli, A.

Publications and source records attributed to Ceccarelli, A..

8 recordsLinked to original sources

bioRxiv2026

Locus-specific spatial and transcriptional dynamics direct T cell lineage choice in the thymus

Decades of investigation have made the choice between CD4 and CD8 T cell lineages in the thymus a key paradigm for mammalian cell commitment and differentiation, yet how transcriptional diversification is coordinated with 3D genome organisation remains largely unexplored. Here, using single-molecule transcript quantification and region capture Pico-C (RCPC), we resolve distinct transcriptional and spatial chromatin dynamics at the lineage-defining loci Cd4 and Cd8. We find early Cd4/Cd8 transcriptional divergence driven by MHC-dependent bias in Cd8a transcript copy number, which unfolds gradually across both CCR7- and CCR7+ differentiation stages. Unexpectedly, Cd4 and Cd8 loci show fundamentally different spatial contact dynamics: transiently reduced mesoscale (10-100kb) contacts at Cd8 provide a permissive chromatin environment throughout the transcriptional diversification process. By contrast, Cd4 undergoes switch-like contact changes limited to the microscale (1kb) late in differentiation, associated with lineage stabilization by ThPOK and/or RUNX3. These results place distinct, locus-specific chromatin environments at the centre of transcriptional diversification during T cell lineage choice.

genetics↗

bioRxiv2026

Long-Range Coupling of Posterior Cell Addition and Anterior Vacuolation Provides Robustness in Notochord Elongation.

Robust tissue growth control requires long-range communication between the rate of progenitor addition and tissue expansion. However, the regulatory mechanisms that couple these two processes are unknown. In zebrafish, notochord morphogenesis is a principal driver of axis extension through the combined actions of posterior progenitor addition and anterior vacuolation. To elucidate how progenitor dynamics and vacuole-driven cell expansion interact to shape notochord development, we first generated a mathematical model that links progenitor addition rate to the progressive expansion of cells from anterior-to-posterior to simulate vacuolation rate. Comparing this with empirical measurements, we find that progenitor incorporation together with vacuolation, produces a linear gradient in nearest neighbour distance. We next explored the role of YAP/TAZ in regulating the rate of progenitor addition in mutants for YAP/TAZ inhibitor vgll4b. We find that vgll4b expression and YAP activity are enriched in posterior midline progenitors. Loss of vgll4b elevates YAP signaling, enhances progenitor addition, restricts vacuole expansion, and--after a transient buffering phase--compromises A-P axis elongation. These results support a long-range feedback mechanism linking progenitor recruitment to vacuolation, enabling the notochord to balance cellular input with volumetric expansion, thereby maintaining tissue proportions. Graphical abstract. Proposed working model O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=166 SRC="FIGDIR/small/706348v2_ufig1.gif" ALT="Figure 1"> View larger version (62K): org.highwire.dtl.DTLVardef@6c3c6dorg.highwire.dtl.DTLVardef@1f34eb0org.highwire.dtl.DTLVardef@b33a21org.highwire.dtl.DTLVardef@ad582b_HPS_FORMAT_FIGEXP M_FIG C_FIG A. Schematic representation of the authors proposed model illustrating how increased YAP activation in notochord progenitors of vgll4b mutants leads to enhanced progenitor addition to the notochord. This increased incorporation subsequently compromises the ability of notochord cells to undergo proper vacuolation, resulting in reduced axial elongation compared with control embryos.

developmental biology↗

bioRxiv2025

Brachyury expression levels predict lineage potential and axis-forming ability of in vitro derived neuromesodermal progenitors

Neuromesodermal progenitors (NMPs) produce the spinal cord and musculoskeleton in the elongating anterior-posterior axis. In vivo, NMPs possess dual potency, coinciding with regions coexpressing SOX2 and Brachyury (TBXT). In vitro, SOX2/TBXT co-expressing cells can be produced from pluripotent cells and, like their in vivo counterparts, can produce neural tube and somitic mesoderm. However, the functional characteristics of in vitro SOX2/TBXT co-expressing cells remain unclear, confounding comparisons with in vivo data. To address this, we developed a dual Sox2/Tbxt reporter mouse ESC line. SOX2/TBXT reporter-positive cells emerge in vitro from pluripotent populations with dynamics that mirror their appearance in the embryo. Purified SOX2/TBXT co-expressing populations can differentiate towards neurectoderm or mesoderm, including lateral mesoderm upon BMP stimulation. In gastruloids, quantitative live imaging shows that WNT or NOTCH inhibition rapidly leads to downregulation of TBXT expression and diminished axial extension. We show that clonally plated SOX2/TBXT co-expressing cells are bipotent NMPs that can also self-propagate. By combining clonal analysis with mathematical modelling, we identify two thresholds of SOX2/TBXT expression, switching clonal output from neural- to mesoderm-biased, and from mesoderm-biased to mesoderm-specified. Media and substrate composition alter the lineage outcomes of in vitro derived mouse NMPs. Thus, this Sox2/Tbxt double reporter cell line provides support for unsuspected heterogeneity in NMPs, together with evidence for a role of these transcription factors in directing cell fate to drive axis elongation.

developmental biology↗

bioRxiv2025

Mechanical control of tissue growth during limb regeneration

The axolotl is a highly regenerative species, capable of restoring full limbs, regardless of the amputation site. However, the regeneration rate is adjusted with the plane of amputation along the proximo-distal (PD) axis, leading to equivalent regeneration times regardless of the extent of tissue removal. We hypothesized that this phenomenon could be partly explained by differences in tissue mechanical properties. In this work, we describe tissue growth mathematically and evaluate cell cycle parameters of regenerating limbs amputated at different levels along the PD axis, demonstrating a linear correlation between the cell cycle length and the amputation site during early regeneration phases. We show as well, that blastema cells require their endogenous context to retain such proliferation differences. We measured mechanical properties in regenerating limbs with in vivo optical and standard indentation-based techniques and demonstrated that distal blastema cells are stiffer than proximal ones. Accordingly, we demonstrated that axolotl cells decrease their proliferation with increased extracellular matrix stiffness in vitro. Next, we evaluated the activity of the mechanotransducers YAP/TAZ in vivo by using a GTIIC-based reporter line combined with target gene expression data, which indicated that their activity peaks during the blastema stage, with higher activity after proximal amputations. Hence, our findings strongly suggest a mechanical dependence for the position-dependent regulation of cell proliferation during axolotl limb regeneration, where YAP/TAZ likely plays a role in the mechanotransduction mechanism.

biophysics↗

bioRxiv2024

ForSys: non-invasive stress inference from time-lapse microscopy

During tissue development and regeneration, cells interpret and exert mechanical forces that are challenging to measure in vivo. Therefore, stress inference algorithms have emerged as powerful tools to estimate tissue stresses. However, how to incorporate tissue dynamics effectively into the inference remains elusive. Here, we present ForSys, a Python-based software that estimates intercellular stresses and intracellular pressures using time-lapse microscopy. We validated ForSys in silico and in vivo using the well-characterized mucociliary epithelium of the Xenopus embryo. We applied ForSys to study the migrating zebrafish lateral line primordium. We found that stress increases during cell rounding just before cell division and predicted the onset of epithelial rosettogenesis with high accuracy. Finally, we analyzed the development of the zebrafish neuromast and inferred mechanical asymmetries in a cell type-specific adhesion pattern. The versatility and simplicity of ForSys enhance the toolkit for studying spatiotemporal patterns of mechanical forces during tissue morphogenesis in vivo.

systems biology↗

bioRxiv2023

Inference of the core gene regulatory network underlying seam cell development in Caenorhabditis elegans

Gene regulatory networks are fundamental in cellular decision-making, yet even in well-studied systems, their topologies are often poorly characterised. The nematode Caenorhabditis elegans contains a population of stem-like cells, known as seam cells. While seam cells are essential to generate the majority of the animal epidermis as well as specific neurons, the architecture of the underlying gene network has not been elucidated. Here, we combine experiments, mathematical modelling and statistical inference to uncover the architecture of the seam cell gene network focusing on three core transcription factors (TFs), the GATA factors ELT-1, EGL-18 and the Engrailed homolog CEH-16. We use single-molecule FISH (smFISH) to quantify TF mRNA abundance in single seam cells in both wild type and mutant backgrounds. We then predict potential TF interactions and their quantitative strengths using a combination of Modular Response Analysis, ordinary differential equations and a Bayesian model discovery approach. Taken together, our findings suggest new relationships between core TFs in seam cells and highlight an approach that can be used to infer quantitative networks from smFISH data.

systems biology↗

bioRxiv2022

Dynamically regulated transcription factors are encoded by highly unstable mRNAs in the Drosophila larval brain

The level of each RNA species depends on the balance between its rates of production and decay. Although previous studies have measured RNA decay across the genome in tissue culture and single-celled organisms, few experiments have been performed in intact complex tissues and organs. It is therefore unclear whether the determinants of RNA decay found in cultured cells are preserved in an intact tissue, and whether they differ between neighboring cell types and are regulated during development. To address these questions, we measured RNA synthesis and decay rates genome wide via metabolic labeling of whole cultured Drosophila larval brains using 4-thiouridine. Our analysis revealed that decay rates span a range of more than 100-fold, and that RNA stability is linked to gene function, with mRNAs encoding transcription factors being much less stable than mRNAs involved in core metabolic functions. Surprisingly, among transcription factor mRNAs there was a clear demarcation between more widely used transcription factors and those that are expressed only transiently during development. mRNAs encoding transient transcription factors are among the least stable in the brain. These mRNAs are characterized by epigenetic silencing in most cell types, as shown by their enrichment with the histone modification H3K27me3. Our data suggests the presence of an mRNA destabilizing mechanism targeted to these transiently expressed transcription factors to allow their levels to be regulated rapidly with high precision. Our study also demonstrates a general method for measuring mRNA transcription and decay rates in intact organs or tissues, offering insights into the role of mRNA stability in the regulation of complex developmental programs.

biochemistry↗

bioRxiv2021

Size matters: an analytical study on the role of tissue size in spatiotemporal distribution of morphogens unveils a transition between different reaction-diffusion regimes

The reaction-diffusion model constitutes one of the most influential mathematical models to study distribution of morphogens in tissues. Despite its widespread use, the effect of finite tissue size on model-predicted spatiotemporal morphogen distributions has not been completely elucidated. In this study, we analytically investigated the spatiotemporal distributions of morphogens predicted by a reaction-diffusion model in a finite 1D domain, as a proxy for a biological tissue, and compared it with the solution of the infinite-domain model. We explored the reduced parameter, the tissue length in units of a characteristic reaction-diffusion length, and identified two reaction-diffusion regimes separated by a crossover tissue size estimated in [~]3.3 characteristic reaction-diffusion lengths. While above this crossover the infinite-domain model constitutes a good approximation, it breaks below this crossover, whereas the finite-domain model faithfully describes the entire parameter space. We evaluated whether the infinite-domain model renders accurate estimations of diffusion coefficients when fitted to finite spatial profiles, a procedure typically followed in Fluorescence Recovery After Photobleaching (FRAP) experiments. We found that the infinite-domain model overestimates diffusion coefficients when the domain is smaller than the crossover tissue size. Thus, the crossover tissue size may be instrumental in selecting the suitable reaction-diffusion model to study tissue morphogenesis.

systems biology↗