Biology subjects

Pecot, T.

Publications and source records attributed to Pecot, T..

4 recordsLinked to original sources

bioRxiv2024

Optimized expansion microscopy reveals species-specific spindle microtubule organization in Xenopus egg extracts

The spindle is a key structure in cell division as it orchestrates the accurate segregation of genetic material. While its assembly and function are well-studied, the mechanisms regulating spindle architecture remain elusive. In this study, we investigate the differences in spindle organization between Xenopus laevis and Xenopus tropicalis, leveraging expansion microscopy (ExM) to overcome the limitations of conventional imaging techniques. We optimized an ExM protocol tailored for Xenopus egg extract spindles, improving upon fixation, denaturation and gelation methods to achieve higher resolution imaging of spindles. Our protocol preserves spindle integrity and allows effective pre-expansion immunofluorescence. This method enabled detailed analysis of the differences in microtubule organization between the two species. X. laevis spindles overall exhibited a broader range of bundle sizes, while X. tropicalis spindles contained mostly smaller bundles. Moreover, while both species exhibited larger bundle sizes near and at the spindle center, X. tropicalis spindles otherwise consisted of very small bundles, and X. laevis spindles medium-sized bundles. By enhancing resolution and minimizing distortions and fixation artifacts, our optimized ExM approach offers new insights into spindle morphology and provides a robust tool for studying the structural intricacies of these large cellular assemblies. This work advances our understanding of spindle architecture and opens up new avenues for exploring underlying mechanisms. SIGNIFICANCE STATEMENTO_LICorrect spindle morphology is key to its function; however, traditional microscopy methods limit our view of spindle architecture. This study addresses the gap in resolving detailed spindle microtubule organization by using advanced imaging. C_LIO_LIThe research utilizes Expansion Microscopy (ExM) to reveal previously unobservable details of spindle morphology in egg extracts of two Xenopus species (X. laevis and X. tropicalis). This approach provides unprecedented clarity on microtubule arrangement and variations in spindle architecture. C_LIO_LIThis work establishes a new protocol for high-resolution imaging of spindle structures, offering insights into how spindle architecture is adapted in differently-sized spindles to ensure proper function. C_LI

cell biology↗

bioRxiv2022

Single-cell profiling identifies clinically relevant interactions between tumor associated macrophages and blood endothelial cells in diffuse large B cell lymphoma

Diffuse large B cell lymphoma (DLBCL) and follicular lymphoma (FL) are the two most common B-cell lymphomas and are characterized by a dynamic crosstalk between tumor B cells and a heterogeneous tumor-supportive microenvironment, including immune, endothelial, and stromal components. Although their impact on the pathogenesis and prognosis of B-cell lymphoma has been acknowledged for years, tumor-associated macrophages (TAM) have not been extensively explored in DLBCL and FL. Herein, we investigate mononuclear phagocytes (MNP) heterogeneity at the single cell level and their potential co-regulation with the stromal and endothelial compartments in B-cell lymphoma lymph nodes compared to reactive secondary lymphoid organs, using a combination of mass cytometry, single cell RNA sequencing, and in silico approaches. We reveal a co-regulation between TAM and blood endothelial cells (BEC) in lymphoma. Moreover, we identify a specific interaction between Annexin A1 (ANXA1)-expressing BEC and formyl-peptide receptors (FPR1/2)-expressing monocytes/macrophages in DLBCL, which we confirm in situ by multiplex immunofluorescence and imaging mass cytometry. This crosstalk is associated to an immunosuppressive tumor microenvironment and an adverse prognosis in DLBCL.

immunology↗

bioRxiv2021

Deep learning tools and modeling to estimate the temporal expression of E2Fs over the cell cycle from 2D still images

Automatic characterization of fluorescent labeling in intact mammalian tissues remains a challenge due to the lack of quantifying techniques capable of segregating densely packed nuclei and intricate tissue patterns. Here, we describe a powerful deep learning-based approach that couples remarkably precise nuclear segmentation with quantitation of fluorescent labeling intensity within segmented nuclei, and then apply it to the analysis of cell cycle dependent protein concentration in mouse tissues using 2D fluorescent still images. First, several existing deep learning-based methods were evaluated to accurately segment nuclei using different imaging modalities with a small training dataset. Next, we developed a deep learning-based approach to identify and measure fluorescent labels within segmented nuclei, and created an ImageJ plugin to allow for efficient manual correction of nuclear segmentation and label identification. Lastly, using fluorescence intensity as a readout for protein concentration, a three-step global estimation method was applied to the characterization of the cell cycle dependent expression of E2F proteins in the developing mouse intestine.

bioinformatics↗

bioRxiv2019

Two dynamical behaviours of the microtubules at cell cortex reveal pulling and pushing forces that position the spindle in C. elegans embryo.

In the Caenorhabditis elegans zygote, astral microtubules generate forces, pushing against and pulling from the cell periphery. They are essential to position the mitotic spindle. By measuring the dynamics of astral microtubules at the cortex, we revealed the presence of two populations, residing there for 0.4 s and 1.8 s, which correspond to the pulling and pushing events, respectively. Such an experiment offers a unique opportunity to monitor both forces that position the spindle under physiological conditions and study their variations along the anteroposterior axis (space) and the mitotic progression (time). By investigating pulling-force-generating events at the microscopic level, we showed that an anteroposterior asymmetry in dynein on-rate - encoding pulling-force imbalance - is sufficient to cause posterior spindle displacement. The regulation by spindle position - reflecting the number of microtubule contacts in the posterior-most region - reinforces this imbalance only in late-anaphase. Furthermore, we exhibited the first direct proof that the force-generator increasing persistence to pull (processivity) accounts for the temporal control of pulling force throughout mitosis. We thus propose a three-fold control of pulling force, by the polarity, spindle position and mitotic progression. Focusing on pushing force, we discovered a correlation between its density and the stability of the spindle position during metaphase, which strongly suggests that the pushing force contributes to maintaining the spindle at the cell centre. This force remains constant and symmetric along the anteroposterior axis during the division. The pulling one increases in intensity and becomes dominant at anaphase. In conclusion, the two-population study enabled us to decipher the complex regulation of the spindle positioning during cell division.

biophysics↗