Biology subjects

Aulner, N.

Publications and source records attributed to Aulner, N..

6 recordsLinked to original sources

bioRxiv2026

Deep learning extracts MoA-specific signatures from high-throughput images of chemically and genetically perturbed Corynebacteria

Tuberculosis (TB) is the worldwide leading infectious killer due to a single pathogen and increasing antimicrobial resistance (AMR) makes it imperative to discover and develop new drugs with novel modes of action (MoAs) to treat TB infections. Phenotypic screening of chemical libraries has proven effective at identifying new compounds against bacterial pathogens. However, a major limitation of standard screens is their inability to uncover the MoA of hits thereby preventing targeted selection of compounds with novel MoAs. Linking drug perturbations to mutants from images could potentially enable to predict the targets of compounds that act through novel MoAs. Here, we develop a deep learning (DL)-based method to screen drug-treated Corynebacterium glutamicum (Cglu), a surrogate model for Mycobacterium tuberculosis (Mtb). Our DL model is based on a convolutional neural network architecture that takes high throughput images as input and is trained to distinguish between different MoAs. We show that our approach can robustly differentiate between the MoAs of established antibiotics and correctly recognise the MoA of antibiotics that were not previously seen by the DL model. We also show that inhibitors with the same and previously unseen MoA cluster together and apart from all other reference drugs, allowing for new MoA discovery. Importantly, we show that our model links images of chemical (drugs) and genetic (mutants) perturbations targeting similar pathways, thus paving the way towards mutant-based target prediction of compounds that act through novel MoAs, directly from high-content images. Finally, we explore the phenotypes induced by genetic disruption of pathways and demonstrate that features extracted with our DL model recover known biological relationships from high-throughput images alone using the cell cycle of Cglu as a case study, a finding with promising potential for fundamental mechanistic studies.

microbiology↗

bioRxiv2023

An oxadiazole-based compound potentiates anti- tuberculosis treatment by increasing host resistance via zinc poisoning

Anti-tuberculosis drugs, mostly developed over 60 years ago, combined with a poorly effective vaccine, have failed to eradicate tuberculosis. More worryingly, multi-resistant strains of Mycobacterium tuberculosis are constantly emerging. Innovative strategies are thus urgently needed to improve tuberculosis treatment. Recently, host-directed therapy has emerged as a promising strategy to be used in adjunct with existing or future antibiotics, by improving innate immunity or limiting immunopathology. Here, using high content imaging, we identified novel 1,2,4-oxadiazole-based compounds, that allow human macrophages to control MTB replication. Genome-wide gene expression analysis revealed that these molecules induced zinc remobilization inside cells, resulting in bacterial zinc intoxication. More importantly, we also demonstrated that, upon treatment with these novel compounds, M. tuberculosis became even more sensitive to anti-tuberculosis drugs, in vitro and in vivo, in a mouse model of tuberculosis. Manipulation of heavy metal homeostasis holds thus great promise to be exploited to develop host-directed therapeutic interventions.

microbiology↗

bioRxiv2022

Immunometabolic profiling of in vitro and ex vivo Leishmania-infected macrophages (LIMs) reveals unique polarization and bioenergetic signatures

Macrophages are the major host cells of the protozoan parasite Leishmania in mammalian infection. These key innate immune cells display remarkable phenotypic plasticity ranging from pro-inflammatory M1 to anti-inflammatory M2 macrophages that can control infection and tissue homeostasis, respectively. It has been recognized that Leishmania exploits macrophage phenotypic plasticity to establish chronic infection. However, the current notion that these parasites simply trigger an M2-like phenotype seems over-simplified considering the immunopathology observed during leishmaniasis - in particular in response to Leishmania amazonensis - which is often characterized by a mixed Th1/Th2 immune response. Here we combined a series of systems-level analyses to shed new light on the phenotype of Leishmania-infected macrophages (LIMs) during short- and long-term infection, in vitro and in vivo. Immuno-metabolic profiling by RNA-seq, RT-qPCR, cytokine immunoassays, and real-time bioenergetic flux analysis of L. amazonensis-infected bone marrow-derived macrophages (BMDMs) revealed a highly complex and unique phenotypic and bioenergetic signature. In vitro LIMs were characterized by co-expression of both M1 and M2 markers at RNA and protein levels and increased expression of glycolytic genes that matched a progressive metabolic switch from a M2-like respiratory to a M1-like glycolytic energy production observed for both long-term in vitro and in vivo infected macrophages. Unlike in M1 macrophages, glycolytic gene expression did not correlate with increased expression of its key regulatory HIF-1. In contrast, siRNA knock down experiments in primary BMDMs uncovered an essential role of the m6A reader protein IGF2BP2 in stabilizing m6A modified transcripts of the glycolytic pathway, contributing to HIF-1-independent induction of glycolysis. In conclusion, L. amazonensis establishes a complex and unique phenotypic shift in infected macrophages in vitro and in vivo that combines M1-like and M2-like immuno-metabolomic characteristics and implicates differential mRNA stability in induction of aerobic glycolysis. Our data thus uncover epi-transcriptomic regulation as a novel target for Leishmania immune subversion to establish a host cell phenotype beneficial for intracellular parasite development and chronic infection.

immunology↗

bioRxiv2021

DProj: A toolbox for local 2D projection and accurate morphometrics of large 3D microscopy images.

BO_SCPLOWACKGROUNDC_SCPLOWQuantitative imaging of epithelial tissues prompts for bioimage analysis tools that are widely applicable and accurate. In the case of imaging 3D tissues, a common pre-processing step consists in projecting the acquired 3D volume on a 2D plane mapping the tissue surface. Indeed, while segmenting the tissue cells is amenable on 2D projections, it is still very difficult and cumbersome in 3D. However, for many specimen and models used in Developmental and Cell Biology, the complex content of the image volume surrounding the epithelium in a tissue often reduces the visibility of the biological object in the projection, compromising its subsequent analysis. In addition, the projection may distort the geometry of the tissue and can lead to strong artifacts in the morphology measurement. RO_SCPLOWESULTSC_SCPLOWHere we introduce a user-friendly toolbox built to robustly project epithelia on their 2D surface from 3D volumes, and to produce accurate morphology measurement corrected for the projection distortion, even for very curved tissues. Our toolbox is built upon two components. LocalZProjector is a user-friendly and configurable Fiji plugin that generates 2D projections and height-maps from potentially large 3D stacks (larger than 40 GB per time-point) by only incorporating signal of the planes with local highest variance/mean intensity, despite a possibly complex image content. DeProj is a MATLAB tool that generates correct morphology measurements by combining the height-map output (such as the one offered by LocalZProjector) and the results of a cell segmentation on the 2D projection, hence effectively deprojecting the 2D segmentation in 3D. In this paper we demonstrate their effectiveness over a wide range of different biological samples. We then compare its performance and accuracy against similar existing tools. CO_SCPLOWONCLUSIONSC_SCPLOWWe find that LocalZProjector performs well even in situations where the volume to project also contains un-wanted signal in other layers. We show that it can process large images without a pre-processing step. We study the impact of geometrical distortions on morphological measurements induced by the projection. We measured very large distortions which are then corrected by DeProj, providing accurate outputs.

bioinformatics↗

bioRxiv2020

Unveiling the inter individual variability of human fibroblasts innate immune response using robust cell-based protocols

The LabEx Milieu Interieur (MI) project is a clinical study centered on the detailed characterization of the baseline and induced immune responses in blood samples from 1000 healthy donors. Analyses of these samples has lay ground for seminal studies on the genetic and environmental determinants of immunologic variance in a healthy cohort population. In the current study we developed in vitro methods enabling standardized quantification of MI-cohort-derived primary fibroblasts responses. Our results show that in vitro human donor cohort fibroblast responses to stimulation by different MAMPs analogs allows to characterize individual donor immune-phenotype variability. The results provide proof-of-concept foundation to a new experimental framework for such studies. A bio-bank of primary fibroblast lines was generated from 323 out of 1,000 healthy individuals selected from the MI-study cohort. To study inter-donor variability of innate immune response in primary human dermal fibroblasts we chose to measure the TLR3 and TLR4 response pathways, both receptors being expressed and previously studied in fibroblasts. We established high-throughput automation compatible methods for standardized primary fibroblast cell activation, using purified MAMPS analogs, poly I:C and LPS that stimulate TLR3 and TLR4 pathways respectively. These results were in turn compared with a stimulation method using infection by HSV-1 virus. Our "Add-only" protocol minimizes high-throughput automation system variability facilitating whole process automation from cell plating through stimulation to recovery of cell supernatants, and fluorescent labeling. Images were acquired automatically by high-throughput acquisition on an automated high-content imaging microscope. Under these methodological conditions standardized image acquisition provided for quantification of cellular responses allowing biological variability to be measured with low system noise and high biological signal fidelity. Optimal for automated analysis of immuno-phenotype of primary human cell responses our method and experimental framework as reported here is highly compatible to high-throughput screening protocols like those necessary for chemo-genomic screening. In context of primary fibroblasts derived from donors enrolled to the MI-clinical-study our results open the way to assert the utility of studying immune-phenotype characteristics relevant to a human clinical cohort.

immunology↗

bioRxiv2019

Leishmania targets the macrophage epigenome and dampens the NF-κB/NLRP3- mediated inflammatory response

Aberrant macrophage activation during intracellular infection generates important immunopathologies that can cause severe human morbidity. A better understanding of microbial immune subversion strategies and macrophage phenotypic and functional responses is a prerequisite for the design of novel, host-directed intervention strategies. Here, we uncover a fine-tuned transcriptional response induced in primary macrophages infected by the human parasite Leishmania amazonensis that prevents NF-{kappa}B and NLRP3 inflammasome activation. This unusual subversion is characterized by respectively suppression and induction of activating and de-activating components of the NF-{kappa}B and NLRP3 pathways. This dichotomic modulation was associated with histone H3 hypoacetylation at promoters of NF-{kappa}B-related, pro-inflammatory genes. Our results reveal a novel Leishmania immune subversion strategy targeting host cell epigenetic regulation to modulate the macrophage phenotype. Modulation of the macrophage epigenetic landscape establishes conditions beneficial for intracellular parasite survival, and opens interesting new venues for host-directed, anti-microbial drug discovery.

cell biology↗