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Moretti, B.

Publications and source records attributed to Moretti, B..

4 recordsLinked to original sources

Novel Fluorescent and Photoconvertible Fusions Reveal Dorsal Activator Dynamics

Over the last two decades, new in vivo and in cellulo imaging technologies have uncovered the inherently dynamic nature of transcriptional regulation in embryonic development and, in particular, in the fruit fly D. melanogaster. These technologies have made it possible to characterize the subnuclear and single-molecule dynamics of transcription factors. However, a lack of appropriate fluorescent protein fusions has, until now, limited these studies to only a few of the dozens of important transcription factors in the fruit fly gene regulatory network dictating early development. Here, we report the creation of four new fluorescent protein fusions to Dorsal, a member of the NF-{kappa}B/Rel family that initiates dorsal-ventral patterning. We generated and characterized two bright fluorescent protein fusions for Dorsal, meGFP and mNeonGreen, and two photoconvertible fluorescent protein fusions, mEos4a and Dendra2. We show that removal of the DsRed2 cassette commonly used to mark the CRISPR integration restores endogenous Dorsal mRNA and protein levels and enables the fusion allele to rescue a dorsal null allele, meeting the gold standard for endogenous function of a tagged protein in a fruit fly. We then demonstrate that our bright fluorescent protein fusions can be used to dissect the spatiotemporal dynamics of stable Dorsal clusters that traverse the nucleoplasm and uncovered that these clusters preferentially interact with active sites of Dorsal-modulated transcription. We further demonstrate that our photoconvertible fluorescent protein fusions make it possible to detect individual molecules of Dorsal in the nuclei of developing embryos. These new fluorescent protein fusions constitute a valuable resource for the community to elucidate the role of Dorsal activator dynamics in dictating fruit fly early embryonic development.

developmental biology↗

Single-cell transcriptional dynamics in a living vertebrate

The ability to quantify transcriptional dynamics in individual cells via live imaging has revolutionized our understanding of gene regulation. However, such measurements are lacking in the context of vertebrate embryos. We addressed this deficit by applying MS2-MCP mRNA labeling to the quantification of transcription in zebrafish, a model vertebrate. We developed a platform of transgenic organisms, light sheet fluorescence microscopy, and optimized image analysis that enables visualization and quantification of MS2 reporters. With these tools, we obtained single-cell, real-time measurements of transcriptional dynamics of the segmentation clock. Our measurements challenge the traditional view of smooth clock oscillations and instead suggest a model of discrete transcriptional bursts that are organized in space and time. Together, these results highlight how measuring single-cell transcriptional activity in the context of vertebrate organisms can reveal unexpected features of gene regulation and how this data can fuel the dialogue between theory and experiment.

developmental biology↗

Automatic inference of cell neighborhood in 2D and 3D using nuclear markers

SignificanceEstimating neighboring cells by using only nuclear markers is crucial in many biological applications. Although several strategies have been used for this purpose, most published methods lack a rigorous characterization of their efficiencies. Remarkably, previously described methods are not automatic and depend only on cell-cell distance, neglecting the importance of pair-neighborhood interaction. AimTo develop a robust and automatic method for assessing cell local neighborhood, while analyzing the impact of the physical variables involved in this task. ApproachWe inferred neighbors from images with nuclei labeling by approximating the cell-cell interaction graph by the Delaunay triangulation of nuclei centroids. Each edge of this graph was filtered by thresholding in cell-cell distance and the maximum angle that each pair subtends with shared neighbors (pair-neighborhood interaction). Thresholds were calculated by maximizing a new robust statistic that measures the communicability efficiency of the cell graph. Using a variety of images of diverse tissues with additional membrane labeling to find the ground truth, we characterized the assessment performance. ResultsOn average, our method detected 95% of true neighbors, with only 6% of false discoveries. Even though our methods performance and tissue regularity are correlated, it works with performance metrics over 86% in very different organisms, including Drosophila melanogaster, Tribolium castaneum, Arabidopsis thaliana and C. elegans. ConclusionsWe automatically estimated neighboring relationships between cells in 2D and 3D using only nuclear markers. To achieve this goal, we filtered the Delaunay triangulation of nuclei centroids with a new measure of graph communicability efficiency. In addition, we found that taking pair-neighborhood interactions into account, in contrast to considering only cell-cell distances, leads to significant performance improvements. This becomes more notorious when the number of cells is low or the geometry of the cell graph is highly complex.

developmental biology↗

Furry is required for cell movements during gastrulation and functionally interacts with NDR1

Gastrulation is a key event in animal embryogenesis during which the germ layers precursors are rearranged and the embryonic axes are established. Cell polarization is essential during gastrulation driving asymmetric cell division, cell movements and cell shape changes. Furry (Fry) gene encodes an evolutionarily conserved protein with a wide variety of cellular functions mostly related to cell polarization and morphogenesis in invertebrates. However, little is known about its function in vertebrate development. Here we show that in Xenopus, Fry participates in the regulation of morphogenetic processes during gastrulation. Using morpholino knock-down, we demonstrate a role of Fry in blastopore closure and dorsal axis elongation. Loss of Fry function drastically affects the movement and morphological polarization of cells during gastrulation, in addition to dorsal mesoderm convergent extension, responsible for head-to-tail elongation. Finally, we demonstrate a functional interaction between Fry and NDR1 kinase, providing evidence of an evolutionarily conserved complex required for morphogenesis.

developmental biology↗