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Valente, A.

Publications and source records attributed to Valente, A..

11 recordsLinked to original sources

Reconstituting Mouse Embryogenesis Ex Utero from Gastrulation to Fetal Development Reveals Maternally Independent Metabolic Programs

Mammalian development takes place inside the maternal uterus, creating technological constraints that make difficult the study of embryogenesis in live developing embryos. A central challenge for understanding the role of metabolism in mammalian development is discriminating placental and uterine-regulated signals from embryo-intrinsic processes independent of maternal influence, a process that until now has remained inseparable during gastrulation and organogenesis1-3. Ex utero culture systems allowing continuous growth of embryos during pre-gastrulation to organogenesis4,5 offer a promising solution to this challenge. Here, we present optimized ex utero culture platforms that support faithful development of mouse embryos from gastrulation (embryonic day 6.5/7.5) through the fetal period (embryonic day [~]12.5) and harnessed these platforms for dissecting metabolic transitions in vivo during embryogenesis independently of uterus and placenta. We characterized the metabolome of in utero and ex utero whole embryos, fetal organs and culture medium between embryonic days E6.5 and E12.5 by liquid chromatography mass-spectrometry (LC-MS) metabolomics, isotope tracing, and single cell transcriptomics. These datasets present a comprehensive overview of the dynamic embryonic metabolism during gastrulation and organogenesis in utero and ex utero. This analysis revealed that the midgestational metabolic switch occurring at E10.5-E11.5 is faithfully recapitulated ex utero, indicating that this transition is intrinsically programmed in embryonic tissues and does not require direct maternal or placental cues. Notably, oxygen availability modulated the extent of this transition, but elevated oxygen was insufficient to induce it prematurely, demonstrating that the switch is developmentally timed and only partially environmental-responsive. We further harnessed the ex utero platform for identifying and perturbing a mitochondrial redox shift at E7.5-E8.5 that is critical for developmental progress after gastrulation. These findings uncover the remarkable metabolic plasticity of the mammalian embryo, demonstrating its capacity to sustain growth independently of maternal inputs from the establishment of the body plan through the onset of the fetal period. Moreover, they highlight the use of long-term ex utero culture as a unique framework for dissecting the mechanisms that shape embryogenesis under physiological and experimentally perturbed conditions, while functionally uncoupling embryonic programs from maternal and placental influences.

developmental biology↗

The lipidomic architecture of the mouse brain

Lipids are fundamental components of the brain, crucial for synaptic transmission and signal propagation. Altered brain lipid composition is associated with common and rare neuropathologies, yet, the spatial organization of the mammalian brain lipidome remains insufficiently characterized compared to other modalities1-8. Here, we mapped the membrane lipid architecture of the adult mouse brain at micrometric scale, across sexes, and during pregnancy. This Lipid Brain Atlas reveals that lipids define a fine-grained biochemical structure that aligns with functional anatomy. Membrane lipid spatial heterogeneity clusters into territories, which we termed lipizones. Lipizones partially mirror cell type territories, but also capture distal axon terminals. Through lipizones, (i) we reveal the organizing principles of the gray matter lipidome, related to connectivity and cytoarchitecture; (ii) we discover a new axis of oligodendrocyte heterogeneity in the white matter; (iii) and we find biochemical zonation in the choroid plexus and in the ventricular walls. We show that this lipidomic architecture can adapt to changing physiological needs. In the brain of pregnant females, the white matter is metabolically activated and the outer cortex is reorganized. These results are a foundational resource (https://lbae-v2.epfl.ch/), poised to reshape our understanding of lipids in brain development, physiology, and pathology.

systems biology↗

Benchmarking cerebellar organoids to model autism spectrum disorder and human brain evolution

While cortical organoids have been used to model different facets of neurodevelopmental conditions and human brain evolution, cerebellar organoids have not yet featured so prominently in the same context, despite increasing evidence of this brain regions importance for cognition and behavior. Here, we provide a longitudinal characterization of cerebellar organoids benchmarked against human fetal data and identify at very early stages of development a significant number of dynamically expressed genes relevant for neurodevelopmental conditions such as autism and attention deficit hyperactivity disorders. Then, we model an ASD mutation impacting CHD8, showing both granule cell and oligodendrocyte lineages prominently affected, resulting in altered network activity in more mature organoids. Lastly, using CRISPR/Cas9 editing, we also model an evolution-relevant mutation in a regulatory region of the CADPS2 gene. We investigate the effect of the derived allele exclusive to Homo sapiens, identifying a rerouting of the CADPS2-expression in rhombic lip cells, coupled with a different sensitivity to hypoxia which in turn lead to a differential timing of granule cell differentiation. HIGHLIGHTSO_LILongitudinal characterization of cerebellar organoids uncovers disorder related genes especially at early stages of development C_LIO_LIMutation in CHD8 alter rhombic lip and oligodendrocytes differentiation via WNT pathway C_LIO_LIRerouting of CADPS2 expression, delaying differentiation and migration, in recent human evolution C_LI IN BRIEFAprile and colleagues longitudinally profiled cerebellar organoids, benchmarking them against a fetal human atlas and identified a highly dynamic expression of genes related to cognitive and behavioral disorders especially at early stages of differentiation. Organoids were used to model the impact of a high-penetrance mutation associated with autism spectrum disorder and a high-frequency derived allele in Homo sapiens predicted to have played a role in recent brain evolution.

neuroscience↗

Multi-center Translational Trial of Remote Ischemic Conditioning in Acute Ischemic Stroke (TRICS BASIC)

BackgroundBasic science studies have reported remote ischemic conditioning (RIC) as neuroprotective in acute ischemic stroke, while clinical evidence remains conflicting. The TRICS BASIC study investigated the efficacy and safety of RIC in experimental ischemic stroke using a rigorous clinical trial methodology. MethodsMulti-center, multi-species, parallel group, randomized, controlled, preclinical trial of transient femoral artery clipping to induce RIC in female and male rats and mice subjected to transient endovascular occlusion of the middle cerebral artery. Animals were randomized to receive RIC, or sham surgery, after reperfusion. The primary endpoint was good functional outcome at 48 hours, assessed using a composite functional neuroscore. Secondary endpoints was infarct volume at 48 hours and safety, assessed using a standardized health report at 24 and 48 hours. Pre-enrollment harmonization, centralized monitoring, allocation concealment, blinded outcome assessment and intention-to-treat analysis were applied. ResultsThe trial enrolled 164 rodents (82 mice and 82 rats) of both sexes (53% females), across seven laboratories. A greater proportion of RIC-treated rodents achieved a favorable functional outcome compared to controls, at 48 hours post-ischemia (55% versus 36%; OR 2.2, 95% CI [1.23-4.4], p=0.009). RIC was associated with a small reduction in infarct volume (standardized mean difference -0.38, 95% CI [-0.70, -0.05], p=0.024). Health monitoring indicated no major safety concerns, and post-operative analgesia requirements were lower in RIC-treated mice. ConclusionsSurgically-induced RIC provided a modest but evident neuroprotective effect in experimental ischemic stroke, underscoring the potential of this strategy as an adjunctive treatment in stroke care. The findings of the TRICS BASIC study highlighted the importance of multicenter preclinical trials in addressing variability and enhancing translational validity. Registrationregistered at preclinicaltrials.eu, identifier PCTE0000177.

neuroscience↗

Species-specific oxygen sensing governs the initiation of vertebrate limb regeneration

Why mammals cannot regenerate limbs, unlike amphibians, presents a longstanding puzzle in biology. We show that exposing ex vivo amputated embryonic mouse limbs to subatmospheric oxygen environment, or stabilizing oxygen-sensitive HIF1A enables not only rapid wound healing, but alters cellular mechanics, and reshapes the histone landscape to prime regenerative fates. Conversely, regenerative Xenopus tadpole limbs display low oxygen-sensing capacity, robust wound healing, a regenerative histone landscape, and glycolytic programs even under high oxygen. This reduced oxygen-sensing capacity, in stark contrast to mammals, associates with decreased HIF1A-regulating gene expressions. Our findings thus uncover species-specific oxygen sensing as a unifying mechanism for limb regeneration initiation across vertebrates, reveal how aquatic subatmospheric habitats may enhance regenerative capabilities, and identify targetable barriers to unlock latent limb regenerative programs in adult mammals.

developmental biology↗

HERV-derived epitopes represent new targets for T-cell based immunotherapies in ovarian cancer

BackgroundOvarian cancer represents the most lethal gynecological cancer with poor results of checkpoint inhibitors. Human endogenous retroviruses (HERVs) are aberrantly expressed by tumor cells and may represent a source of shared T cell epitopes for cancer immunotherapy regardless of the tumor mutational burden. MethodsA transcriptomic analysis based on RNA-sequencing (RNA-seq) was developed to quantify the expression of HERV-K sequences containing the selected epitopes. The presence of HERV-K/HML-2 Gag antigen was then assessed by immunohistochemistry (IHC) on tumor microarrays from ovarian cancer samples and normal ovarian tissues. A specific immunopeptidomics approach was developed to detect epitopes on HLA molecules. Epitope-specific CD8+ T cells were quantified by multimer staining and in vitro target cell killing was evaluated using xCELLigence technology. In vivo antitumor efficacy of HERV-specific T cells was assessed in an avian embryo model. ResultsEpitope-containing HERV transcripts were significantly higher in ovarian cancers compared to normal tissues. The presence of HERV-K/HML-2 Gag antigen was confirmed by IHC in 20/40 (50%) ovarian cancers while no Gag expression was found in normal ovarian tissue samples. Immunopeptidomics analysis showed the presence of epitopes on HLA molecules on the surface of ovarian tumor cell lines but not on normal primary cells from critical tissues. HERV-specific T cells were detected among tumor infiltrating lymphocytes (TILs) from ovarian cancers, confirming the immunogenicity of these epitopes in patients. In vitro, HERV-specific T cells specifically killed ovarian cancer cells in an HLA class I-restricted manner while sparing normal HLA-A2-positive primary cells derived from critical tissues. Epitope-specific CD8+ T cells exhibited a strong anti-tumoral activity in vivo, inducing a highly significant decrease in tumor volume in comparison with control groups. ConclusionThese results provide the preclinical rationale for developing T-cell based approaches against HERV-K-derived epitopes in ovarian cancer. Graphical abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=66 SRC="FIGDIR/small/603392v1_ufig1.gif" ALT="Figure 1"> View larger version (20K): org.highwire.dtl.DTLVardef@1c889b8org.highwire.dtl.DTLVardef@c9b0c5org.highwire.dtl.DTLVardef@1748100org.highwire.dtl.DTLVardef@1c129cc_HPS_FORMAT_FIGEXP M_FIG C_FIG O_LISome HERVs are specifically overexpressed in ovarian cancer compared to normal tissues. C_LIO_LIHERV-K/HML-2 Gag antigen is detected by immunohistochemistry in ovarian cancers but not in normal ovarian tissues. Furthermore, HERV-K-derived epitopes are presented on HLA molecules on the surface of ovarian cancer cells but not on normal cells. C_LIO_LIThese epitopes are immunogenic in patients and induce high-avidity CD8+ T cells that specifically kill ovarian cancer cells in vitro and in vivo while sparing normal cells. C_LI

immunology↗

Statistical inference with a manifold-constrained RNA velocity model uncovers cell cycle speed modulations

Across a range of biological processes, cells undergo coordinated changes in gene expression, resulting in transcriptome dynamics that unfold within a low-dimensional manifold. Single-cell RNA-sequencing (scRNA-seq) only measures temporal snapshots of gene expression. However, information on the underlying low-dimensional dynamics can be extracted using RNA velocity, which models unspliced and spliced RNA abundances to estimate the rate of change of gene expression. Available RNA velocity algorithms can be fragile and rely on heuristics that lack statistical control. Moreover, the estimated vector field is not dynamically consistent with the traversed gene expression manifold. Here, we develop a generative model of RNA velocity and a Bayesian inference approach that solves these problems. Our model couples velocity field and manifold estimation in a reformulated, unified framework, so as to coherently identify the parameters of an autonomous dynamical system. Focusing on the cell cycle, we implemented VeloCycle to study gene regulation dynamics on one-dimensional periodic manifolds and validated using live-imaging its ability to infer actual cell cycle periods. We benchmarked RNA velocity inference with sensitivity analyses and demonstrated one- and multiple-sample testing. We also conducted Markov chain Monte Carlo inference on the model, uncovering key relationships between gene-specific kinetics and our gene-independent velocity estimate. Finally, we applied VeloCycle to in vivo samples and in vitro genome-wide Perturb-seq, revealing regionally-defined proliferation modes in neural progenitors and the effect of gene knockdowns on cell cycle speed. Ultimately, VeloCycle expands the scRNA-seq analysis toolkit with a modular and statistically rigorous RNA velocity inference framework.

systems biology↗

Diet composition drives tissue-specific intensity of murine enteric infections

Diet composition plays a large role in regulating of gut health and enteric infection. In particular, synthetic Western-style diets may predispose to disease, whilst whole-grain diets containing high levels of crude fiber are thought to promote gut health. Here we show that, in contrast to this paradigm, mice fed unrefined chow are significantly more susceptible to infection with Trichuris muris, a caecum-dwelling nematode, than mice given refined, semi-synthetic diets (SSD). Moreover, mice fed SSD supplemented with inulin, a fermentable fiber, developed chronic T. muris burdens whereas mice given SSD efficiently cleared the infection. Diet composition significantly impacted infection-induced changes in the host gut microbiome. Mice infected with the bacterium Citrobacter rodentium were also more susceptible to pathogen colonization when fed either chow or inulin-enriched SSD. However, transcriptomic analysis of tissues from mice fed either SSD or inulin-enriched SSD revealed that, in contrast to T. muris, increased C. rodentium infection appeared to be independent of the host immune response. Accordingly, exogenous treatment with IL-25 partially reduced T. muris burdens in inulin-fed mice, whereas IL-22 treatment was unable to restore resistance to C. rodentium colonization. Diet-mediated effects on pathogen burden were more pronounced for large intestine-dwelling pathogens, as effects on small intestinal helminth (Heligmosomoides polygyrus) were less evident, and protozoan (Giardia muris) infection burdens were equivalent in mice fed chow, inulin-enriched SSD, or SSD, despite higher cyst excretion in chow-fed mice. Collectively, our results point to a tissue- and pathogen-restricted effect of dietary fiber levels on enteric infection intensity. ImportanceEnteric infections induce dysbiosis and inflammation and are a major public health burden. As the gut environment is strongly shaped by diet, the role of different dietary components in promoting resistance to infection is of interest. Whilst diets rich in fiber or whole grain are normally associated with improved gut health, we show here that these components predispose the host to higher levels of pathogen infection. Thus, our results have significance for interpreting how different dietary interventions may impact on gastrointestinal infections. Moreover, our results may shed light on our understanding of how gut flora and musical immune function is influenced by the food that we eat.

microbiology↗

Shifting KRAS hotspot mutations inhibition paradigm in colorectal cancer

KRAS hotspot mutations are difficult to target, highlighting the need of developing new specific target drugs for cancers driven by these mutations, like colorectal cancer (CRC). Here, we discover a new ruthenium compound, PMC79, that inhibits specifically mutated KRAS and the downstream signaling ERK and AKT proteins both "in vitro" and "in vivo". We demonstrated that PMC79 inhibits KRAS mutated kinase activity and is selective for KRAS mutations not affecting the KRAS wild-type protein. KRAS inhibition is not dependent on actin polymerization or on proteasome. Molecular docking analysis suggests that this effect might result from protein dynamics associated with the mutations. We demonstrated that low doses of PMC79 potentiate 5-fluorouracil anticancer effect. "In vivo" PMC79 "proof of concept" showed that it reduces tumor growth in the CAM-xenograft model and induces necrosis of the tumor in the xenograft mice model. PMC79 is a promising new "magic bullet" for CRCs harboring mutated KRAS.

pharmacology and toxicology↗

Complementary roles of dimensionality and population structure in neural computations

Neural computations are currently investigated using two separate approaches: sorting neurons into functional populations, or examining the low-dimensional dynamics of collective activity. Whether and how these two aspects interact to shape computations is currently unclear. Using a novel approach to extract computational mechanisms from networks trained on neuroscience tasks, here we show that the dimensionality of the dynamics and cell-class structure play fundamentally complementary roles. While various tasks can be implemented by increasing the dimensionality in networks with fully random population structure, flexible input-output mappings instead required a non-random population structure that can be described in terms of multiple sub-populations. Our analyses revealed that such a population structure enabled flexible computations through a mechanism based on gain-controlled modulations that flexibly shape the dynamical landscape of collective dynamics. Our results lead to task-specific predictions for the structure of neural selectivity, inactivation experiments, and for the implication of different neurons in multi-tasking.

neuroscience↗

Transgenerational cues about local mate competition affect offspring sex ratios in the spider mite Tetranychus urticae

In structured populations, competition for mates between closely related males, termed Local Mate Competition (LMC), is expected to select for female-biased offspring sex ratios. However, the cues underlying sex allocation decisions remain poorly studied. Here, we test for several cues in the spider mite Tetranychus urticae, a species that was previously found to adjust the sex ratio of its offspring in response to the number of females in an isolated population, i.e. a patch. We here investigate whether the offspring sex ratio of T. urticae females changes in response to 1) the current number of females in the same patch, 2) the number of females in the patches of their mothers and 3) their relatedness to their mate. Single females on patches produced similar sex ratios to those of groups of 15 females; their mothers had been in identical conditions of panmixia. The offspring sex ratios of females mated with their brother did not differ from those of females mated with an unrelated male. Females however produced a more female-biased offspring sex ratio if their mothers were alone on a patch compared to 15 other females. Thus, maternal environment is used as a cue for the sex allocation of daughters. We discuss the conditions under which the maternal environment may be a reliable predictor of LMC experienced by grand-sons.

evolutionary biology↗