Publications by authors named "Maximilien Evrard"

Tissue-resident memory T (T) cells are integral to tissue immunity, persisting in diverse anatomical sites where they adhere to a common transcriptional framework. How these cells integrate distinct local cues to adopt the common T cell fate remains poorly understood. Here, we show that whereas skin T cells strictly require transforming growth factor β (TGF-β) for tissue residency, those in other locations utilize the metabolite retinoic acid (RA) to drive an alternative differentiation pathway, directing a TGF-β-independent tissue residency program in the liver and synergizing with TGF-β to drive T cells in the small intestine.

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The memory CD8 T cell pool contains phenotypically and transcriptionally heterogeneous subsets with specialized functions and recirculation patterns. Here, we examined the epigenetic landscape of CD8 T cells isolated from seven non-lymphoid organs across four distinct infection models, alongside their circulating T cell counterparts. Using single-cell transposase-accessible chromatin sequencing (scATAC-seq), we found that tissue-resident memory T (T) cells and circulating memory T (T) cells develop along distinct epigenetic trajectories.

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Immunity to infectious diseases is predominantly studied by measuring immune responses towards a single pathogen, although co-infections are common. In-depth mechanisms on how co-infections impact anti-viral immunity are lacking, but are highly relevant to treatment and prevention. We established a mouse model of co-infection with unrelated viruses, influenza A (IAV) and Semliki Forest virus (SFV), causing disease in different organ systems.

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Skin-resident CD8 T cells include distinct interferon-γ-producing [tissue-resident memory T type 1 (T1)] and interleukin-17 (IL-17)-producing (T17) subsets that differentially contribute to immune responses. However, whether these populations use common mechanisms to establish tissue residence is unknown. In this work, we show that T1 and T17 cells navigate divergent trajectories to acquire tissue residency in the skin.

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Memory CD8 T cells can be broadly divided into circulating (T) and tissue-resident memory T (T) populations. Despite well-defined migratory and transcriptional differences, the phenotypic and functional delineation of T and T cells, particularly across tissues, remains elusive. Here, we utilized an antibody screening platform and machine learning prediction pipeline (InfinityFlow) to profile >200 proteins in T and T cells in solid organs and barrier locations.

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Article Synopsis
  • Tissue-resident memory T cells (specifically CD8 T cells) are crucial for quickly controlling infections in specific tissues, and their residency is influenced by the transcription factor Runx3.
  • CD4 T cells, lacking Runx3, do not develop the necessary transcriptional network to maintain residency like CD8 T cells do, primarily due to the need for Runx1 and the minimal presence of Runx3.
  • Introducing Runx3 into CD4 T cells activates the TGF-β transcriptional network, leading to improved survival, retention in tissues, redistribution towards epithelial areas, and better overall functionality.
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Understanding the complex elements affecting signal resolution in cytometry is key for quality experimental design and data. In this study, we incorporate autofluorescence as a contributing factor to our understanding of resolution in cytometry and corroborate its impact in fluorescence signal detection through mathematical predictions supported by empirical evidence. Our findings illustrate the critical importance of autofluorescence extraction via full spectrum unmixing in unmasking dim signals and delineating the expression and subset distribution of low abundance markers in discovery projects.

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Circulating Ly6C monocytes often undergo cellular death upon exhaustion of their antibacterial effector functions, which limits their capacity for subsequent macrophage differentiation. This shrouds the understanding on how the host replaces the tissue-resident macrophage niche effectively during bacterial invasion to avert infection morbidity. Here, we show that proliferating transitional premonocytes (TpMos), an immediate precursor of mature Ly6C monocytes (MatMos), were mobilized into the periphery in response to acute bacterial infection and sepsis.

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Article Synopsis
  • - The third edition of the Flow Cytometry Guidelines offers essential information for conducting flow cytometry experiments, covering immune cell phenotypes and functional assays in both humans and mice.
  • - It includes tables that highlight the differences between human and murine cell phenotypes, along with examples of flow cytometry applications related to autoimmune diseases, cancers, and infectious diseases.
  • - The guidelines also provide practical tips and common pitfalls to avoid, and are authored by renowned experts in the field, making it a crucial resource for researchers in both basic and clinical settings.
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Tissue-resident memory T (TRM) cells provide long-lasting immune protection. One of the key events controlling TRM cell development is the local retention of TRM cell precursors coupled to downregulation of molecules necessary for tissue exit. Sphingosine-1-phosphate receptor 5 (S1PR5) is a migratory receptor with an uncharted function in T cells.

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Tissue-resident memory T (T) cells are non-recirculating cells that exist throughout the body. Although T cells in various organs rely on common transcriptional networks to establish tissue residency, location-specific factors adapt these cells to their tissue of lodgment. Here we analyze T cell heterogeneity between organs and find that the different environments in which these cells differentiate dictate T cell function, durability and malleability.

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Mucosal-associated Invariant T (MAIT) cells are recognized for their antibacterial functions. The protective capacity of MAIT cells has been demonstrated in murine models of local infection, including in the lungs. Here we show that during systemic infection of mice with Francisella tularensis live vaccine strain results in evident MAIT cell expansion in the liver, lungs, kidney and spleen and peripheral blood.

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Hematopoiesis is a central process and is essential for the replenishment of short-lived leukocytes such as neutrophils. However, the molecular events underlining the developmental transition of quiescent hematopoietic stem cells into downstream progenitors and mature blood cells are not completely understood. Here, we describe the intrafemoral delivery of hematopoietic progenitors as a method to trace their development and differentiation lineage patterns within the bone marrow (BM) niche.

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Dendritic cells (DCs) encompass several cell subsets that collaborate to initiate and regulate immune responses. Proper DC localization determines their function and requires the tightly controlled action of chemokine receptors. All DC subsets express CXCR4, but the genuine contribution of this receptor to their biology has been overlooked.

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Granulocyte-monocyte progenitors (GMPs) have been previously defined for their potential to generate various myeloid progenies such as neutrophils and monocytes. Although studies have proposed lineage heterogeneity within GMPs, it is unclear if committed progenitors already exist among these progenitors and how they may behave differently during inflammation. By combining single-cell transcriptomic and proteomic analyses, we identified the early committed progenitor within the GMPs responsible for the strict production of neutrophils, which we designate as proNeu1.

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Adoptive cell therapies using genetically engineered T cell receptor or chimeric antigen receptor T cells are emerging forms of immunotherapy that redirect T cells to specifically target cancer. However, tumor antigen heterogeneity remains a key challenge limiting their efficacy against solid cancers. Here, we engineered T cells to secrete the dendritic cell (DC) growth factor Fms-like tyrosine kinase 3 ligand (Flt3L).

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These guidelines are a consensus work of a considerable number of members of the immunology and flow cytometry community. They provide the theory and key practical aspects of flow cytometry enabling immunologists to avoid the common errors that often undermine immunological data. Notably, there are comprehensive sections of all major immune cell types with helpful Tables detailing phenotypes in murine and human cells.

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The role of nonclassical monocytes (NCMs) in health and disease is emerging, but their location and function within tissues remain poorly explored. Imaging of NCMs has been limited by the lack of an established single NCM marker. Here, we characterize the immune checkpoint molecule PD-L1 (CD274) as an unequivocal marker for tracking NCMs in circulation and pinpoint their compartmentalized distribution in tissues by two-photon microscopy.

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Neutrophils eliminate pathogens efficiently but can inflict severe damage to the host if they over-activate within blood vessels. It is unclear how immunity solves the dilemma of mounting an efficient anti-microbial defense while preserving vascular health. Here, we identify a neutrophil-intrinsic program that enabled both.

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Image cytometry is the process of converting image data to flow cytometry-style plots, and it usually requires computer-aided surface creation to extract out statistics for cells or structures. One way of dealing with structures stained with multiple markers in three-dimensional images, is carrying out multiple rounds of channel co-localization and image masking before surface creation, which is cumbersome and laborious. We propose the application of the hue-saturation-brightness color space to streamline this process, which produces complete surfaces, and allows the user to have a global view of the data before flexibly defining cell subsets.

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The maintenance of appropriate arterial tone is critically important for normal physiological arterial function. However, the cellular and molecular mechanisms remain poorly defined. Here, we have shown that in the mouse aorta, resident macrophages prevented arterial stiffness and collagen deposition in the steady state.

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Motivation: Recent flow and mass cytometers generate datasets of dimensions 20 to 40 and a million single cells. From these, many tools facilitate the discovery of new cell populations associated with diseases or physiology. These new cell populations require the identification of new gating strategies, but gating strategies become exponentially more difficult to optimize when dimensionality increases.

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