Biology subjects

Blanchard, F.

Publications and source records attributed to Blanchard, F..

9 recordsLinked to original sources

bioRxiv2026

Transposable elements drive phenotypic variation and shape the response to environmental changes in Drosophila melanogaster

Transposable elements (TEs) are ubiquitous repetitive DNA sequences that can mobilise within genomes and may modulate gene expression in an environment-dependent manner. TEs and the safeguarding epigenetic machinery targeting them, can be tuned by environmental fluctuations to influence gene expression by inducing genomic, epigenetic, and transcriptomic changes. Yet, the degree to which TE-driven molecular diversity translate into inter-individual phenotypic variation vs accumulating without any phenotypic consequences remains unclear. Here, we used five populations of genetically engineered Drosophila melanogaster flies that carry variable TE content but share an otherwise identical genetic background to test the phenotypic consequences of the early stages of TE accumulation. Phenotypic screenings across 17 traits (fertility-related traits, life-history traits and stress resistance tests) revealed significant differences between the populations (e.g. reduced hatchability). We also observed a notable increase in intra-population phenotypic variation for the heavily TE-burdened populations across a wide panel of traits. These results suggest considerable TE-driven inter- and intra-population phenotypic variation. Further investigation revealed that variable TE contents can influence the response to environmental changes, positioning TEs as drivers of environmentally-induced phenotypic variation in a system deprived of other sources of genetic variation. These results provide empirical evidence that TEs contribute to the heterogeneity of the environmental response and therefore represent an underlying mechanism of phenotypic variation.

evolutionary biology↗

bioRxiv2026

Molecular and spatial profiling identifies immune endotypes for the stratification of OA patients

Osteoarthritis (OA) is a prevalent and heterogeneous joint disease in which synovial inflammation drives structural progression and pain. Despite the recognized heterogeneity of OA, the cellular and molecular organization of synovial tissue remains poorly characterized and defining distinct histological and immune endotypes could guide precision medicine and therapeutic targeting. We show that histologically defined synovial pathotypes are conserved across independent cohorts and correspond to distinct molecular immune endotypes. Integration of bulk and spatial transcriptomics with proteomics revealed niche-specific gene and protein signatures, reflecting the anatomical and functional diversity of OA synovium. The lympho-myeloid pathotype was characterized by mature ectopic lymphoid structures containing CD21+CD23+ follicular dendritic cells, spatially organized T and B cell zones, and clonally expanded T and B cells with shared immune cell receptor motifs, consistent with local adaptive immune activity correlating with radiological joint damage. These findings highlight how immune organization and cellular composition shape OA pathogenesis and provide a framework for endotype-guided stratification and therapeutic targeting.

immunology↗

bioRxiv2025

Transcriptomic and functional comparison of cells isolated from healthy and degenerated ovine intervertebral discs

Structured abstractO_ST_ABSBackgroundC_ST_ABSIntervertebral disc degeneration (IVDD) is a leading cause of chronic low back pain and disability. Understanding the cellular and molecular mechanisms underlying disc degeneration is crucial for developing effective therapies. Sheep have emerged as a promising large-animal model for IVDD research due to their similarities with humans. They exhibit resembling spine anatomy and biomechanics, and they develop spontaneous age-associated degeneration of the disc. However, the specific cellular alterations occurring in annulus fibrosus (AF) and nucleus pulposus (NP) ovine cells during degeneration remain poorly characterized. In vitro, the benefits of using cells from aged sheep over young ones to mimic degenerative processes remain to be tested. MethodsAF and NP cells from young and aged sheep were analysed using bulk RNA sequencing, with a focus on two hallmarks of IVDD: cellular senescence and metabolic alterations. Functional assays completed this focus by assessing cells response under basal conditions and after pro-degenerative stimuli (IL-1{beta}, senescence induction). In addition, bulk transcriptomic data were deconvoluted using a reference single-cell RNA-seq dataset from healthy and degenerated human discs, and gene co-expression modules were compared across species. ResultsMRI and histological analyses revealed homogeneous mild degeneration across all lumbar discs in aged sheep, while lamb discs were uniformly healthy. Cells transcriptomic profiling identified robust age- and tissue-specific signatures, with aged NP and AF cells showing upregulation of inflammatory mediators, ECM-remodelling enzymes, and senescence-associated pathways. Cross-species analysis revealed shared transcriptional modules between aged sheep cells and human degenerated disc cells, supporting the translational relevance of the ovine model. Remarkably, young and aged cells shared a similar functional behaviour when exposed to stress-related stimuli. ConclusionsThis work confirms the compatibility of sheep cells with in vitro testing and their relevance to model human IVDD. Cross-validation with human single-cell data further highlights common pathogenic pathways, reinforcing the translational potential of the model. However, no added benefits were found in using older animals compared to younger ones as cell sources in functional assays. HighlightsO_LITranscriptomic profiling of AF and NP cells from young and aged sheep C_LIO_LIAged cells show inflammatory, ECM-remodelling and senescence signatures C_LIO_LIDeconvolution with human scRNA-seq links aged ovine and degenerated discs C_LIO_LISheep cells retain in vitro responsiveness to pro-degenerative stimuli C_LIO_LISupports the ovine model as a translational tool for IVDD research C_LI

cell biology↗

bioRxiv2023

Spatial mapping of rheumatoid arthritis synovial niches reveals specific macrophage networks associated with response to therapy

Rheumatoid arthritis (RA) is a chronic inflammatory autoimmune disease affecting peripheral joints and for which approximately 40% of the patients respond insufficiently to the available synthetic or biologic disease modifying anti-rheumatic drugs (DMARDs). The infiltration of the synovial membrane by lymphocytes and monocytes profoundly alters its homeostatic functions, leading to chronic joint inflammation and bone destruction. A better understanding of how DMARDs impact the complex synovial cell social network in relationship to response/ non-response remains an unmet need to design more targeted and active therapeutic strategies. Here, we used imaging mass cytometry (IMC) to comparatively profile more than 115,000 cells in the synovial tissue of healthy, low inflammatory osteoarthritis and matched active early treatment-naive RA patients at baseline and at 6 months after starting DMARDs treatment. We notably highlighted that tissue resident macrophages (LYVE1+CD206+) in perivascular synovial niches encompassing specific subsets of vascular cells, fibroblasts and immune cells vanished in active RA but were recovered in response to DMARDs treatment. Combined ligand-receptor analysis of single-cell RNA sequencing datasets identified that IL10, C-type lectin or TAM (TYRO3, AXL and MERTK) receptors were particularly involved in the restoration of these spatial cell interactions in the context of clinical remission. In addition to providing an unprecedented synovial spatial mapping, our work uncovered novel potential cellular and molecular targets for the development of therapies for RA. One Sentence SummarySingle-cell spatial profiling of rheumatoid arthritis synovium identifies specific cell states linked to treatment response

immunology↗

bioRxiv2022

Predicting leaf traits across functional groups using reflectance spectroscopy

O_LIPlant ecologists use functional traits to describe how plants respond to and influence their environment. Reflectance spectroscopy can provide rapid, non-destructive estimates of leaf traits, but it remains unclear whether general trait-spectra models can yield accurate estimates across functional groups and ecosystems. C_LIO_LIWe measured leaf spectra and 22 structural and chemical traits for nearly 2000 samples from 104 species. These samples span a large share of known trait variation and represent several functional groups and ecosystems. We used partial least-squares regression (PLSR) to build empirical models for estimating traits from spectra. C_LIO_LIWithin the dataset, our PLSR models predicted traits like leaf mass per area (LMA) and leaf dry matter content (LDMC) with high accuracy (R2>0.85; %RMSE<10). Models for most chemical traits, including pigments, carbon fractions, and major nutrients, showed intermediate accuracy (R2=0.55-0.85; %RMSE=12.7-19.1). Micronutrients such as Cu and Fe showed the poorest accuracy. In validation on external datasets, models for traits like LMA and LDMC performed relatively well, while carbon fractions showed steep declines in accuracy. C_LIO_LIWe provide models that produce fast, reliable estimates of several widely used functional traits from leaf reflectance spectra. Our results reinforce the potential uses of spectroscopy in monitoring plant function around the world. C_LI

ecology↗

bioRxiv2022

IL-34 deficiency impairs FOXP3+ Treg function and increases susceptibility to autoimmunity

Immune homeostasis requires fully functional Tregs with a stable phenotype to control autoimmunity. Although IL-34 is a cytokine first described as mainly involved in monocyte cell survival and differentiation, we recently described its expression by CD8+ Tregs in a rat model of transplantation tolerance and by activated FOXP3+ CD4+ and CD8+ Tregs in human healthy individuals. However, its role in autoimmunity and potential in human diseases remain to be determined. Here we report that the absence of expression of IL-34 in Il34-/- rodents leads to an unstable phenotype, with production of multiple auto-antibodies, exacerbated under inflammatory conditions with increased susceptibility to DSS- and TNBS-colitis in deficient animals. Moreover, we strikingly revealed the inability of Il34-/- CD4+ Tregs to protect Il2rg-/- rats from a wasting disease induced by transfer of pathogenic cells, in contrast to Il34+/+ CD4+ Tregs. We also showed that IL-34 treatment delayed EAE in mice as well as GVHD and human skin allograft rejection in immune humanized immunodeficient NSG mice. Finally, we show that presence of IL-34 in the serum is associated with a longer rejection-free period in kidney transplanted patients. Altogether, our data emphasize on the crucial necessity of IL-34 for immune homeostasis and for CD4+ Tregs suppressive function. Our data also shows the therapeutic potential of IL-34 in human transplantation and auto-immunity.

immunology↗

bioRxiv2021

Binocular Mirror-Symmetric Microsaccadic Sampling of Hyperacute 3D-Vision

Neural mechanisms behind stereopsis, which requires simultaneous disparity inputs from two eyes, have remained mysterious. Here we show how ultrafast mirror-symmetric photomechanical contractions in the frontal forward-facing left and right eye photoreceptors give Drosophila super-resolution 3D-vision. By interlinking multiscale in vivo assays with multiscale simulations, we reveal how these photoreceptor microsaccades - by verging, diverging and narrowing the eyes overlapping receptive fields - channel depth information, as phasic binocular image motion disparity signals in time. We further show how peripherally, outside stereopsis, microsaccadic sampling tracks a flying flys optic flow field to better resolve the world in motion. These results change our understanding of how insect compound eyes work and suggest a general dynamic stereo-information sampling strategy for animals, robots and sensors. Significance statementTo move efficiently, animals must continuously work out their x,y,z-positions in respect to real-world objects, and many animals have a pair of eyes to achieve this. How photoreceptors actively sample the eyes optical image disparity is not understood because this fundamental information-limiting step has not been investigated in vivo over the eyes whole sampling matrix. This integrative multiscale study will advance our current understanding of stereopsis from static image disparity comparison to a new morphodynamic active sampling theory. It shows how photomechanical photoreceptor microsaccades enable Drosophila super-resolution 3D-vision and proposes neural computations for accurately predicting these flies depth-perception dynamics, limits, and visual behaviors.

neuroscience↗

bioRxiv2018

Ca2+-activated K+ channels reduce network excitability, improving adaptability and energetics for transmitting and perceiving sensory information

Ca2+-activated K+ channels (BK and SK) are ubiquitous in synaptic circuits, but their role in network adaptation and sensory perception remains largely unknown. Using electrophysiological and behavioral assays and biophysical modelling, we discover how visual information transfer in mutants lacking the BK channel (dSlo-), SK channel (dSK-) or both (dSK-;;dSlo-) is shaped in the Drosophila R1-R6 photoreceptor-LMC circuits (R-LMC-R system) through synaptic feedforward-feedback interactions and reduced R1-R6 Shaker and Shab K+ conductances. This homeostatic compensation is specific for each mutant, leading to distinctive adaptive dynamics. We show how these dynamics inescapably increase the energy cost of information and distort the mutants motion perception, determining the true price and limits of homeostatic compensation in an in vivo genetic animal model. These results reveal why Ca2+-activated K+ channels reduce network excitability (energetics), improving neural adaptability for transmitting and perceiving sensory information.\n\nHighlightsO_LIHomeostatic plasticity in Drosophila dSlo-, dSK- and dSK-;;dSlo- null-mutants retains R1-R6 photoreceptors light information sampling while reducing other K+-conductances\nC_LIO_LIAs mutant R-LMC-R circuits rebalance synaptic loads homeostatically, R1-R6s become more depolarized, with dSK- and dSK-;;dSlo- responding faster and dSlo- slower, whilst LMC outputs oscillate, with dSK- responding faster and dSK-;;dSlo- and dSlo- slower than wild-type\nC_LIO_LIHomeostatic compensation in the mutant circuits impedes adaptation, increases the energy cost of visual information and distorts optomotor behavior\nC_LIO_LIHence, Ca2+-activated K+ channels improve adaptability and energetics for transmitting and perceiving sensory information\nC_LI

neuroscience↗

bioRxiv2016

Microsaccadic information sampling provides Drosophila hyperacute vision

Small fly eyes should not see fine image details. Because flies exhibit saccadic visual behaviors and their compound eyes have relatively few ommatidia (sampling points), their photoreceptors would be expected to generate blurry and coarse retinal images of the world. Here we demonstrate that Drosophila see the world far better than predicted from the classic theories. By using electrophysiological, optical and behavioral assays, we found that R1-R6 photoreceptors encoding capacity in time is maximized to fast high-contrast bursts, which resemble their light input during saccadic behaviors. Whilst over space, R1-R6s resolve moving objects at saccadic speeds beyond the predicted motion-blur-limit. Our results show how refractory phototransduction and rapid photomechanical photoreceptor contractions jointly sharpen retinal images of moving objects in space-time, enabling hyperacute vision, and explain how such microsaccadic information sampling exceeds the compound eyes optical limits. These discoveries elucidate how acuity depends upon photoreceptor function and eye movements.

neuroscience↗