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Cruzel, J.

Publications and source records attributed to Cruzel, J..

2 recordsLinked to original sources

Connexin-43 links Neuromesodermal progenitor states to segmentation clock robustness during vertebrate axis elongation

Neuromesodermal progenitors (NMPs) sustain vertebrate body-axis elongation by generating both neural and paraxial mesodermal tissues. Although signaling and metabolic pathways regulate NMP states, whether intercellular communication contributes to the coordination of progenitor behaviour and developmental timing remains unclear. Here, we identify GJA1, encoding connexin-43 (Cx43), as a gene dynamically enriched within the neuromesodermal competent domain of the chick embryo. Cx43-associated channels and hemichannels accumulate preferentially within the NMP population, and a photoactivatable tracer assay demonstrates enhanced connexin-mediated exchange within the posterior growth zone. Pharmacological inhibition of hemichannels or gap junctions revealed distinct contributions of these communication modes to transcriptional regulation across the NMP continuum. Gap-junction inhibition primarily altered SOX2 expression within progenitor populations, whereas hemichannel inhibition selectively affected TBXT expression in mesodermal cells. Connexin inhibition also reduced the relative size of the progenitor compartment and altered the spatial organization of newly formed somites. Strikingly, disruption of connexin-mediated communication impaired segmentation dynamics, leading to increased frequencies of off-pace segmentation events, accelerated segmentation timing and progressive deviation from the expected segmentation program. These defects emerged rapidly and accumulated over successive segmentation cycles, indicating a requirement for connexin activity in maintaining developmental robustness. Together, our findings identify connexin-43 as a regulator of neuromesodermal progenitor states and reveal a previously unrecognized link between intercellular communication and segmentation clock robustness during vertebrate axis elongation.

developmental biology↗

Enhanced Multiplexed Single-Cell RNA-Sequencing for Accurate Detection of Treatment Effects Without Batch Correction in the Avian Embryonic Model

Single-cell RNA sequencing has revolutionized our ability to explore cellular heterogeneity and is a powerful tool to study the impact of environmental perturbations on multiple cell states. However, environmental perturbations can be subtle, and the associated biological effects could be masked by experimental noise and bioinformatic processing, especially when the samples are generated separately. Multiplexing strategies have been developed to label each sample and process them together to reduce experimental noise, but existing multiplexing methods often fall short for non-human and non-mouse models in established single-cell RNA sequencing protocols like the BD Rhapsody technology. To address this gap, we combined Lipid Modified Oligonucleotide (LMO) cell tagging with the BD Rhapsody platform to achieve efficient and scalable multiplexing of early embryonic chick cells under different environmental conditions. This species-agnostic LMO approach overcomes limitations of antibody-based multiplexing methods that are often restricted to human and mouse systems, and the only multiplexing option available with the BD Rhapsody system. In our study, we successfully compartmentalized and multiplexed chick embryonic cells under different treatment conditions, analyzing up to 40,000 viable cells per experiment. This strategy minimized experimental noise, eliminating the need for bioinformatics-based batch correction. As a result, we were able to achieve high-quality transcriptomic profiling with minimal loss of critical biological information and identified subtle biological differences that were masked when using data integration pipelines. Our workflow provides an adaptable, robust solution for LMO-tagged single-cell analyses of complex non-human models with the BD Rhapsody technology and opens new avenues for developmental biology research by accurately capturing treatment-induced effects in embryonic tissues.

developmental biology↗