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Boudier, T.

Publications and source records attributed to Boudier, T..

12 recordsLinked to original sources

Specific pre-plasma cell states and local proliferation at the dark zone - medulla interface characterize germinal center-derived plasma cell differentiation in lymph node

High affinity antibody-producing plasma cells (PC) generated in germinal centers (GC) are crucial for durable immunity after vaccination or infection. The selection of high affinity B cells in the GC light zone instructs PC differentiation in a subset of cells, but the cellular transitions and spatial organization of GC to PC differentiation remain poorly understood. Here, we have used a mouse model to track GC-derived B cells with integrative single-cell and spatial analyses in draining lymph node after immunization or infection. We first identified putative PrePC cells in scRNA-seq datasets, then enriched those cells through their specific surface phenotype for further analysis of their gene expression trajectories and BCR repertoire. We found a continuum of actively proliferating transitional states bridging selected LZ GC B cells and recently exported PCs, with gradually increasing levels of endoplasmic reticulum stress-associated genes and Ig transcripts. Spatial analyses revealed that recently differentiated PC continued their maturation and affinity-restricted proliferation at a previously uncharacterized interface between the DZ and extensions of the lymph node medulla. Our findings provide insights into the intermediate stages and microenvironmental factors involved in the differentiation of GC B cells into PC, with implications for vaccine development and understanding antibody responses.

immunology↗

Modulation of SARS-CoV-2 spike binding to ACE2 throughconformational selection

The first step of SARS-CoV-2 infection involves the interaction between the trimeric viral spike protein (S) and the host angiotensin-converting enzyme 2 (ACE2). The receptor binding domain (RBD) of S adopts two conformations: open and closed, respectively, accessible and inaccessible to ACE2. Therefore, RBD motions are suspected to affect ACE2 binding; yet a quantitative description of the underlying mechanism has been elusive. Here, using single-molecule approaches, we visualize RBD opening and closing and probe the S/ACE2 interaction. Our results show that RBD dynamics affect ACE2 binding but not unbinding. The resulting modulation is quantitatively predicted by a conformational selection model in which each protomer behaves independently. Our work reveals a general molecular mechanism affecting binding affinity without altering binding strength, helping to understand coronavirus infection and immune evasion.

biophysics↗

Coupled mechanical mapping and interference contrast microscopy reveal viscoelastic and adhesion hallmarks of monocytes differentiation into macrophages

Monocytes in the blood torrent, when activated by pro-inflammatory signals, adhere to the vascular endothelium and migrate into the tissue for ultimately differentiate into macrophages. Mechanics and adhesion play a crucial role in macrophage functions, such as migration and phagocytosis. However, how monocytes change their adhesion and mechanical properties upon differentiation into macrophages is still not well understood. In this work, we combined atomic force microscopy (AFM) viscoelastic mapping with interference contrast microscopy (ICM) to simultaneously probe, at the single-cell level, viscoelasticity and adhesion during monocyte differentiation. THP-1 monocytic cells were differentiated into macrophages through phorbol 12-myristate 13-acetate (PMA). Morphological quantification was achieved using holographic tomography imaging and the expression of integrin subunit CD11b was tracked as a marker of differentiation. Holographic tomography proved to be a quantitative in vivo technique, revealing a dramatic increase in macrophage volume and surface area and two subpopulations, spread and round macrophages. AFM viscoelastic mapping revealed an increased stiffness and more solid-like behavior of differentiated macrophages, especially in the lamellipodia and microvilli regions. Differentiated cells revealed an important increase of the apparent Youngs modulus (E0) and a decrease of cell fluidity ({beta}) on differentiated cells, which correlated with an increase in adhesion area. Macrophages with a spreading phenotype enhanced these changes. Remarkably, when adhesion was eliminated, differentiated macrophages remained stiffer and more solid-like than monocytes, suggesting a permanent reorganization of the cytoskeleton. We speculate that the more solid-like microvilli and lamellipodia might help macrophages to minimize energy dissipation during mechanosensitive activity, such as phagocytosis, making it more efficient. Our proposed approach revealed viscoelastic and adhesion hallmarks of monocyte differentiation that may be important for biological function.

biophysics↗

Orphan nuclear receptors promote alternative lengthening of telomeres (ALT) through ALT-associated PML bodies

Alternative lengthening of telomeres (ALT) is a telomerase-independent telomere maintenance mechanism utilized by about 15% of cancers. Orphan nuclear receptors (NRs), such as COUP-TF1, COUP-TF2, EAR2, TR2, and TR4, associate with telomeres of ALT cells by binding to variant telomeric repeats. However, how these orphan NRs function in the ALT pathway remains to be characterized. Here, we have established an ALT-inducing cell model by tethering orphan NRs to telomeres in non-ALT BJ fibroblast cells. We demonstrate that recruitment of orphan NRs to telomeres is sufficient to initiate formation of ALT-associated promyelocytic leukemia nuclear bodies (APBs) and telomeric DNA synthesis at APBs. We found that the ability of orphan NRs to initiate APB formation and recombination is dependent on the orphan NR AF2 domain, the zinc-finger protein ZNF827, and PML protein. Depletion of orphan NRs in ALT cell lines reduced APB formation and telomeric DNA synthesis, confirming the role of orphan NRs in ALT cells. Furthermore, we found that ATRX/DAXX depletion, together with the telomeric localization of orphan NRs, induces APB formation, telomere clustering, and telomeric DNA synthesis more dramatically in non-ALT cells. Accordingly, we propose that these events in ALT, orphan NR recruitment to telomeres and ATRX/DAXX loss, operate in concert to activate the ALT pathway.

molecular biology↗

CardioVinci: building blocks for virtual cardiac cells using deep learning

Recent advances in high-throughput microscopy imaging have made it easier to acquire large volumes of cell images. Thanks to electron microscopy (EM) imaging, they provide a high-resolution and sufficient field of view that suits imaging large cell types, including cardiomyocytes. A significant bottleneck with these large datasets is the time taken to collect, extract and statistically analyse 3D changes in cardiac ultrastructures. We address this bottleneck with CardioVinci.

bioinformatics↗

Apical Actin-myosin Network Regulates the Tight Junction of Polarized Madin-Darby Canine Kidney Cells

The tight junction outlines the apicolateral border of epithelial cells like a belt, sealing the paracellular space when cells form contacts with each other. The permeability and morphology of tight junction are regulated by actomyosin contractility, which has been conventionally thought from the purse-string-like circumferential actomyosin belt along tight junction. Spatially, the tight junction is close to the apical actin network, which exerts inward contractions orthogonal to the tight junction. To test the contributions from apical actin network, we laser-ablated spots on the apical surface of polarized Madin-Darby Canine Kidney (MDCK) epithelial cells. Laser ablation severed the apical cytoskeleton network, decreased in-plane tension, increased the apical surface area, and rendered the tight junction less tortuous in shape. Consistent with these observations, changes in MDCK cell sheet morphology due to cell proliferation, or perturbation with the ROCK inhibitor Y27632 increased the density of the apical actin network and decreased tight junction tortuosity. The morphological analysis revealed scutoids in flat MDCK cell sheets, contrary to predictions from a previous model that only considered cell-cell interactions as line tension. Additional cell-cell interactions from apical in-plane tension provides probable cause for the occurrence of scutoids on flat geometry. Taken together, our findings identify the importance of the apical actin network exerting in-plane apical tension to regulate tight-junction mechanobiology and epithelial cell shape. Significance StatementThe tight junction is located at the apicolateral cell border and regulates paracellular diffusion. Adjacent to the tight junction, the actin cytoskeleton forms a dense network beneath the apical surface and an actomyosin belt that circumscribes the lateral surface of the cell. Tight junctions are connected to the actin cytoskeleton which regulates paracellular transport, but the role of tension-mediated regulation of the tight junction by various actin structures is poorly understood. Here, we provide evidence that tension on the tight junction is mediated by the apical actin network. Our results provide a reinterpretion of past reports and broaden our understanding the mechanobiology of tight junctions.

biophysics↗

Chromosomes distribute randomly to, but not within, human neutrophil nuclear lobes

The proximity pattern and radial distribution of chromosome territories within spherical nuclei are well understood to be random and non-random, respectively. Whether this distribution pattern is conserved in the partitioned or lobed nuclei of polymorphonuclear cells is unclear. Here we use chromosome paint technology and a novel high-throughput imaging analysis pipeline to examine the chromosome territories of all 46 chromosomes in hundreds of single human neutrophils - an abundant and famously polymorphonuclear immune cell. By comparing the distribution of chromosomes to randomly shuffled controls, and validating with orthogonal chromosome conformation capture technology, we show for the first time that all human chromosomes randomly distribute to neutrophil nuclear lobes, while maintaining a non-random radial distribution within these lobes. Furthermore, by leveraging the power of this vast dataset, we are able to reveal characteristics of chromosome territories not detected previously. For example, we demonstrate that chromosome length correlates with three-dimensional volume not only in neutrophils but other human immune cells. This work demonstrates that chromosomes are largely passive passengers during the neutrophil lobing process, but are able to maintain their macro-level organisation within lobes. Furthermore, the random distribution of chromosomes to the naturally partitioned nuclear lobes suggests that specific transchromosomal interactions are unimportant in mature neutrophils.

immunology↗

Macrophages provide a transient muscle stem cell niche via NAMPT secretion

Skeletal muscle is paradigmatic of a regenerative tissue that repairs itself via the activation of a resident stem cell1. Termed the satellite cell, these normally quiescent cells are induced to proliferate by ill-defined wound-derived signals2. Identifying the source and nature of these pro-regenerative cues has been hampered by an inability to visualise the complex cellular interactions that occur within the wound environment. We therefore developed a zebrafish muscle injury model to systematically capture satellite cell interactions within the injury site, in real time, throughout the repair process. This analysis identified that a specific subset of macrophages dwells within the injury, establishing a transient but obligate stem cell niche required for stem cell proliferation. Single cell profiling identified specific signals secreted from dwelling macrophages that include the cytokine, Nicotinamide phosphoribosyltransferase (NAMPT/Visfatin/PBEF). Here we show that NAMPT secretion from the macrophage niche is required for muscle regeneration, acting through the C-C motif chemokine receptor type 5 (CCR5) expressed on muscle stem cells. This analysis reveals that along with their well-described ability to modulate the pro-inflammatory and anti-inflammatory phases of wound repair, specific macrophage populations also provide a transient stem cell-activating niche, directly supplying pro-proliferative cues that govern the timing and rate of muscle stem cell-mediated repair processes.

cell biology↗

EM-stellar: benchmarking deep learning for electron microscopy image segmentation

The inherent low contrast of electron microscopy (EM) datasets presents a significant challenge for rapid segmentation of cellular ultrastructures from EM data. This challenge is particularly prominent when working with high resolution big-datasets that are now acquired using electron tomography and serial block-face imaging techniques. Deep learning (DL) methods offer an exciting opportunity to automate the segmentation process by learning from manual annotations of a small sample of EM data. While many DL methods are being rapidly adopted to segment EM data no benchmark analysis has been conducted on these methods to date. We present EM-stellar, a Jupyter Notebook platform that is hosted on google Colab that can be used to benchmark the performance of a range of state-of-the-art DL methods on user-provided datasets. Using EM-Stellar we show that the performance of any DL method is dependent on the properties of the images being segmented. It also follows that no single DL method performs consistently across all performance evaluation metrics.

bioinformatics↗

EM-net: Deep learning for electron microscopy image segmentation

Recent high-throughput electron microscopy techniques such as focused ion-beam scanning electron microscopy (FIB-SEM) provide thousands of serial sections which assist the biologists in studying sub-cellular structures at high resolution and large volume. Low contrast of such images hinder image segmentation and 3D visualisation of these datasets. With recent advances in computer vision and deep learning, such datasets can be segmented and reconstructed in 3D with greater ease and speed than with previous approaches. However, these methods still rely on thousands of ground-truth samples for training and electron microscopy datasets require significant amounts of time for carefully curated manual annotations. We address these bottlenecks with EM-net, a scalable deep convolutional neural network for EM image segmentation. We have evaluated EM-net using two datasets, one of which belongs to an ongoing competition on EM stack segmentation since 2012. We show that EM-net variants achieve better performances than current deep learning methods using small- and medium-sized ground-truth datasets. We also show that the ensemble of top EM-net base classifiers outperforms other methods across a wide variety of evaluation metrics.

bioinformatics↗

An Erg driven transcriptional program controls B-lymphopoiesis

Summary/AbstractB-cell development is initiated by the stepwise differentiation of hematopoietic stem cells into lineage committed progenitors, ultimately generating the mature B-cells that mediate protective immunity. This highly regulated process also generates clonal immunological diversity via recombination of immunoglobulin genes. While several transcription factors that control B-cell development and V(D)J recombination have been defined, how these processes are initiated and coordinated into a precise regulatory network remains poorly understood. Here, we show that the transcription factor ETS Related Gene (Erg) is essential for the earliest steps in B-cell differentiation. Erg initiates a transcriptional network involving the B-cell lineage defining genes, Ebf1 and Pax5, that directly promotes the expression of key genes involved in V(D)J recombination and formation of the B-cell receptor. Complementation of the Erg-deficiency with a productively rearranged immunoglobulin gene rescued B-cell development, demonstrating that Erg is an essential and exquisitely stage specific regulator of the gene regulatory network controlling B-lymphopoiesis.

immunology↗

A novel generic dictionary-based denoising method for improving noisy and densely packed nuclei segmentation in 3D time-lapse fluorescence microscopy images

Time-lapse fluorescence microscopy is an essential technique for quantifying various characteristics of cellular processes,i.e. cell survival, migration, and differentiation. To perform high-throughput quantification of cellular processes, nuclei segmentation and tracking should be performed in an automated manner. Nevertheless, nuclei segmentation and tracking are challenging tasks due to embedded noise, intensity inhomogeneity, shape variation as well as a weak boundary of nuclei. Although several nuclei segmentation approaches have been reported in the literature, dealing with embedded noise remains the most challenging part of any segmentation algorithm. We propose a novel denoising algorithms, based on sparse coding, that can both enhance very faint and noisy nuclei but simultaneously detect nuclei position accurately. Furthermore our method is based on a limited number of parameters,with only one being critical, which is the approximate size of the objects of interest. We also show that our denoising method coupled with classical segmentation method works properly in the context of the most challenging cases. To evaluate the performance of the proposed method, we tested our method on two datasets from the cell tracking challenge. Across all datasets, the proposed method achieved satisfactory results with 96.96% recall for C.elegans dataset. Besides, in Drosophila dataset, our method achieved very high recall (99.3%).

cell biology↗