Biology subjects

Dufour, S.

Publications and source records attributed to Dufour, S..

At least 19 recordsLinked to original sources

bioRxiv2026

Proteomic profiling of whole tissue sections in cardiac ATTR amyloidosis reveals increased extracellular matrix remodeling

Cardiac transthyretin amyloidosis (ATTR-CA) is caused by myocardial deposition of misfolded transthyretin, leading to progressive heart failure. Disease pathology, however, extends beyond passive amyloid deposition and also involves active processes such as extracellular matrix (ECM) remodeling and immune activation. Mass spectrometry (MS) is the gold standard for amyloid typing in diagnostics. Here, we applied quantitative MS-driven proteomics on formalin-fixed paraffin-embedded whole cardiac tissue sections from six ATTR-CA cases, ten unaffected controls and four AL-CA controls to investigate protein expression changes. In addition to transthyretin, over 500 proteins were upregulated in ATTR-CA biopsies, including complement and coagulation factors as well as extracellular matrix (ECM) remodeling proteins. Among these, members of the A Disintegrin and Metalloproteinase with Thrombospondin Motifs (ADAMTS) family, metalloproteinases (MMPs), and Tissue Inhibitor of Metalloproteinases (TIMP3) showed significant upregulation. These proteins are key regulators of ECM turnover and structural integrity. Immunohistochemistry confirmed ADAMTS4 enrichment in amyloid deposits, while TIMP3 showed strong expression in cardiomyocytes and weaker staining within amyloid deposits. Together, these findings indicate that ECM remodeling, alongside complement and coagulation activation, represents a reproducible feature of cardiac ATTR amyloidosis. Whole-tissue proteomics provides biological insights that extend beyond amyloid typing, with potential implications for biomarker discovery and therapeutic targeting in ATTR-CA.

pathology↗

bioRxiv2025

Identification of DksA as a novel pro-inflammatory mediator of Pseudomonas aeruginosa under conditions mimicking chronic cystic fibrosis lung infection

Chronic infection with Pseudomonas aeruginosa is a major driver of airway inflammation, which plays a central role in the progression of cystic fibrosis (CF) lung disease. During long-term colonization, P. aeruginosa adapts to the CF lung by downregulating virulence factors and adopting a biofilm-associated, mucoid lifestyle. Despite the expected reduction in immune activation due to these adaptations, excessive inflammation persists, a paradox that remains poorly understood. Our objective was to identify novel bacterial mediators sustaining persistent inflammation by P. aeruginosa in the CF lung. To this end, we analyzed clinical P. aeruginosa CF isolates, cultured them in synthetic CF sputum medium, and exposed 3D lung epithelial cell cultures to the resulting cell-free supernatants. There was considerable variability in pro-inflammatory activity among the isolates, with a subset of the isolates inducing strong IL-8 secretion by the 3D cells despite low production of known virulence factors. Comparative proteomics analysis of the cell-free supernatants of pro- and anti-inflammatory isolates revealed several mediators not previously linked to inflammation. Thirteen of these candidate pro-inflammatory mediators were selected for further analysis. Using P. aeruginosa transposon mutants lacking the respective mediators, DksA (a transcription factor) was confirmed as an immunomodulatory mediator in the 3D lung model. Finally, analysis of existing transcriptomes of P. aeruginosa in CF sputum, revealed that dksA was found to be one of the most strongly expressed genes in this patient population, highlighting the relevance of our findings. In conclusion, we identified a novel P. aeruginosa mediator that may contribute to CF airway inflammation.

microbiology↗

bioRxiv2025

From deserts to forests: sequencing of the giant forest hog completes the genomic history of the African Suids

The giant forest hog (GFH, Hylochoerus meinertzhageni), the largest and most elusive wild pig, is found in a disjunct range across equatorial Africa, primarily inhabiting forests and woodlands. It is the only remaining African suid species without whole-genome data. The GFH is currently classified into three subspecies, differing in skull morphology and size. Here, we present the first whole-genome data of nine GFHs; one from Guinea and eight Uganda, representing the two geographically most distant subspecies. This genomic evidence allowed us to resolve the previously uncertain placement of the GFH among African suids as a sister group to the warthogs (Phacochoerus spp.). Also, we found a deep evolutionary split between the two GFH populations resulting in a level of genetic differentiation (FST > 0.75), which is similar to or higher than values observed among species of African wild pigs. The GFH likely diverged from warthogs around 4.6 Mya while the two study populations of GFH diverged at least 0.5 Mya and, subsequently, experienced very dissimilar demographic trajectories. The individual from Guinea had half of the heterozygosity level of the Uganda population, and lower value compared to all the African suids, probably as a result of the long term low Ne and isolation. Due to the close affinity of GFH with the African rainforest biotic zone, our findings have implications for understanding the history of habitat change in Africa. They also indicate a very deep and previously underappreciated evolutionary divergence within the GFH that may have implications for its conservation.

genomics↗

bioRxiv2025

Optimizing efficacy to safety ratio of glucocorticoids in rheumatoid arthritis models by leveraging PPARα agonism

ObjectivesGlucocorticoids remain essential therapies for several immune- and inflammatory diseases such as rheumatoid arthritis (RA) but are notorious for their (metabolic) side effects. Given the anti-inflammatory and metabolically favorable actions of peroxisome-proliferator activated nuclear receptor (PPAR) agonists, we investigated whether PPAR agonism could enhance the therapeutic efficacy and/or mitigate the (metabolic) side effects of glucocorticoids. MethodsWe evaluated the effects of the synthetic glucocorticoid dexamethasone and the PPAR agonist GW7647 (GW) across three RA model systems: L929sA fibroblasts, primary human fibroblast-like synoviocytes (FLS) and collagen-induced arthritis (CIA) mice. ResultsDexamethasone reduced the inflammatory TNF response in L929sA cells, which was further potentiated by GW. In vivo however, GW reduced the dexamethasone-induced adiposity and hypertriglyceridemia, but not arthritis severity. Curiously, GW alone induced several proinflammatory genes within arthritic synovium which were counteracted by glucocorticoids. Proteomic profiling of TNF-stimulated human FLS revealed that combined use of dexamethasone and GW selectively suppressed interferon-stimulated proteins. In line herewith, co-stimulation with TNF and IFN{beta} amplified the suppressive effect of combined dexamethasone and GW treatment on pro-inflammatory gene expression in L929sA versus TNF alone. ConclusionGW enhances the anti-inflammatory effects of glucocorticoids in human FLS and L929sA, and mitigates metabolic side effects of dexamethasone in vivo, without compromising their efficacy. In addition, PPAR agonism permits to broaden its anti-inflammatory profile to interferon driven pathways. Given that both synthetic glucocorticoids and PPAR agonists are already widely used in (general) clinical practice, these findings offer a promising strategy to optimize glucocorticoid-based therapies. KEY MESSAGESO_ST_ABSWhat is already known on this topicC_ST_ABSO_LISynthetic glucocorticoids such as dexamethasone are widely used as immunosuppressive drugs, but cause many (metabolic) side effects. C_LIO_LIPeroxisome-proliferator-activated nuclear receptor (PPAR) agonists are clinically primarily used to treat symptoms that resemble glucocorticoid-induced side effects, but they also exert (modest) immunosuppressive effects. C_LI What this study addsO_LIThis study explores the therapeutic potential of a combination treatment with dexamethasone and PPAR agonist GW7647 (GW) in cellular and murine models of rheumatoid arthritis C_LIO_LIWe reveal that GW attenuates dexamethasone-induced adiposity and hypertriglyceridemia in vivo, hereby improving glucocorticoid-related side effects. C_LIO_LIThe therapeutic efficacy of dexamethasone is maintained or even enhanced by GW in murine and cellular models of rheumatic arthritis, respectively. C_LIO_LIWe offer novel mechanistic insights in the proposed combination treatment by revealing the selective suppression of interferon signaling pathways in human FLS. C_LI How this study might affect research, practice or policyO_LIGiven that both synthetic glucocorticoids and PPAR agonists are already used in clinical practice, this study offers a promising, translatable strategy to optimize glucocorticoid-based therapies with an improved efficacy/safety ratio. C_LI

immunology↗

bioRxiv2025

TurboID proximity interactome mapping reveals NR2E3 association with AP-1 and retinal developmental complexes

The photoreceptor-specific nuclear receptor NR2E3 is a key transcription factor in the retinal transcriptional network, essential in photoreceptor cell fate and maintenance. Various biallelic loss-of-function variants lead to autosomal recessive inherited retinal disease (IRD), while a single missense variant G56R has been identified to cause autosomal dominant retinitis pigmentosa (adRP). However, a comprehensive understanding of the interactome of NR2E3 remains elusive. Here, we aimed to map the interactome of this nuclear receptor and the G56R pathogenic variant through proximity labelling followed by mass spectrometry. We used the TurboID "T2A split/link design" to identify the proximity interactome of wild-type NR2E3 and mutant G56R-NR2E3 in ARPE-19 cells. Several protein complexes involved in retinal development, including the AP-1 complex, were enriched. The results suggest similar interactomes for NR2E3 and G56R-NR2E3 in ARPE-19. However, BCOR was exclusively enriched in the G56R-NR2E3 network, strengthening the connection with the IRD phenotype. In conclusion, our approach has mapped the proximity interactome of NR2E3 and G56R-NR2E3, revealing interaction with protein complexes involved in (retinal) development.

systems biology↗

bioRxiv2025

Advancing global DNA-referencing of bushmeat in African tropical forests: a tool for identifying trade hotspots and dynamics in western and central Africa

The bushmeat trade in Africa is a largely unregulated activity that drives the unsustainable exploitation of wild terrestrial vertebrates--an issue often coined the bushmeat crisis. We build on a four-gene mitochondrial DNA-typing approach to develop an unprecedented reference database framework for effectively tracing the bushmeat trade in tropical Africa. Our dataset comprises over 2,500 samples collected over a 13-yr period across 10 African countries and two European airports. Relying on an expert analytical pipeline and [~]8,700 nucleotide sequences, we identified 96% of samples to the species-level. In contrast, we estimated that conventional two-gene approaches would have yielded 18-26% erroneous or inconclusive taxonomic assignments. DNA-typing refined > 50% of field identifications, with refinement reaching 92-95% for highly processed carcasses seized in Europe. Leveraging expanded taxonomic representation, we empirically refined the genetic species thresholds applied to bushmeat and provide a reproducible pipeline for using our expert reference database from NCBI. Overall, we identified 133 species--mostly mammals--with one-third listed as of conservation concern, and uncovered cryptic diversity evidence within several taxa. Our results also demonstrated the value of community ecology indexes for large-scale monitoring of the bushmeat trade. While national markets generally mirrored regional biodiversity patterns across tropical Africa, Benin emerged as a notable outlier and a key wildlife trade hotspot. We advocate for the integration of community ecology frameworks into surveillance efforts to guide more effective, regionally tailored mitigation strategies. Continued, standardized sampling is essential to broaden taxonomic coverage and enhance detection of cryptic biodiversity in genetic bushmeat monitoring.

genetics↗

bioRxiv2025

Liver lipid droplet cholesterol content is a key determinant of metabolic dysfunction-associated steatohepatitis

Metabolic dysfunction-associated steatohepatitis (MASH) represents a progressive form of steatotic liver disease which increases the risk for fibrosis and advanced liver disease. The accumulation of discrete species of bioactive lipids has been postulated to activate signaling pathways that promote inflammation and fibrosis. However, the key pathogenic lipid species is a matter of debate. We explored candidates using various dietary, molecular, and genetic models. Mice fed a choline-deficient L-amino acid-defined high-fat diet (CDAHFD) developed steatohepatitis and manifested early markers of liver fibrosis associated with increased cholesterol content in liver lipid droplets within 5 days without any changes in total liver cholesterol content. Treating mice with antisense oligonucleotides (ASOs) against Coenzyme A synthase (Cosay) or treatment with bempedoic acid or atorvastatin decreased liver lipid droplet cholesterol content and prevented CDAHFD-induced MASH and the fibrotic response. All these salutary effects were abrogated with dietary cholesterol supplementation. Analysis of human liver samples demonstrated that cholesterol in liver lipid droplets was increased in humans with MASH and liver fibrosis and was higher in PNPLA3 I148M (variants rs738409) than in HSD17B13 variants (rs72613567). Together, these data identify cholesterol in liver lipid droplets as a critical mediator of MASH and demonstrate that COASY knockdown and bempedoic acid are novel therapeutic approaches to reduce liver lipid droplet cholesterol content and thereby prevent the development of MASH and liver fibrosis. Significance StatementMetabolic dysfunction-associated steatohepatitis (MASH) is a progressive liver disease linked to fibrosis. The role of specific lipid species in its pathogenesis remains debated. Using dietary, molecular, and genetic models, we found that mice on a choline-deficient, high-fat diet (CDAHFD) developed steatohepatitis and early fibrosis, marked by increased cholesterol in liver lipid droplets within five days. Targeting COASY with antisense oligonucleotides or treating with bempedoic acid or atorvastatin reduced lipid droplet cholesterol and prevented MASH. However, dietary cholesterol supplementation negated these effects. Human liver samples confirmed elevated lipid droplet cholesterol in MASH and fibrosis, especially in PNPLA3 I148M carriers. These findings highlight cholesterol reduction as a potential MASH therapy.

pathology↗

bioRxiv2025

Decoding Phenotypic Variability in Osteogenesis Imperfecta: Zebrafish as a Model for Molecular and Ultrastructural Insights.

Phenotypic variability is common in human diseases, even when the same genes are affected. In this study, three zebrafish models of Osteogenesis Imperfecta (OI) with dominant glycine substitutions in type I collagen genes (col1a1amh13/+, col1a1adc124/+, and col1a2mh15/+) were characterized for phenotypic severity and variability, using a newly developed standardized scoring system. Comprehensive analyses of the vertebral columns in these models revealed histological and ultrastructural differences that corresponded with phenotypic severity. Increasing skeletal severity correlated with a higher incidence of skeletal deformities and abnormalities. This, in turn, was associated with thinner bones and increased disorganization of collagen fibrils, fiber accumulation and mineralization, elastin deposits, and increased cell proliferation in the notochord and intervertebral ligament (IVL). Additionally, osteoblast function and bone regenerative capacity were increasingly compromised. These characteristics, combined with genetic information, have the potential to predict the severity of phenotypic outcomes in dominant forms of OI, caused by mutations in type I collagen. A remarkable intra-familial phenotypic variability in the col1a2mh15/+mutant holds potential for future approaches that could help in understanding the underlying mechanisms of this variability and the identification of modifier genes. Finally, through proteomics analysis three potential protein biomarkers (HSP47, Col8a1, and Bcan) were identified, that could serve as indicators of disease severity. These biomarkers not only have diagnostic value, but will allow stratification by OI type, have predictive value towards progression of the clinical presentation and will play a role in treatment guidance. Validation in human tissue samples will further reveal their clinical relevance. Significance StatementPhenotypic variability in human diseases, such as Osteogenesis Imperfecta (OI), remains poorly understood. Using zebrafish models with dominant glycine substitutions in type I collagen, this study links genetic mutations to phenotypic severity through standardized scoring and detailed ultrastructural and molecular analyses. Key findings include skeletal abnormalities, compromised osteoblast function, and intra-familial phenotypic variability, suggesting the role of modifier genes. Proteomics identified three potential biomarkers (HSP47, Col8a1, and Bcan) with diagnostic and prognostic value. These results provide critical insights into genotype-phenotype correlations, offering a foundation for personalized approaches to diagnosis, stratification, and treatment of OI and related disorders.

molecular biology↗

bioRxiv2024

The Composition of the Bacterial Community in Raw Milk from Holstein Dairy Cattle Correlated with the Occurrence of Klebsiella pneumoniae Clinical Mastitis Infections

Klebsiella pneumoniae is a common, opportunistic bacterial pathogen that can cause severe clinical mastitis in dairy cattle. Optimizing the bovine udder microbiome to resist mastitis pathogens is a growing area of research; however, previous work has not examined which members of the mammary microbiome may have antagonistic interactions with K. pneumoniae. In this study, we collected quarter-level milk samples from Holstein dairy cows in Quebec, Canada every two weeks for 14 months and analyzed differences in the milk microbiome between samples that were collected from healthy quarters, quarters that developed subclinical mastitis, and quarters that experienced K. pneumoniae clinical mastitis (KP-CM) (n = 512 milk samples). The occurrence of subclinical mastitis did not cause significant differences in the alpha-diversity of the milk microbiome, nor did subclinical mastitis alter the interactions between taxa in the microbiome. However, the occurrence of KP-CM caused reductions in Shannon diversity in raw milk relative to healthy milk and altered the interactions between taxa. Specifically, K. pneumoniae showed negative interactions with the genus Aerococcus. The negative interactions between Aerococcus spp. and K. pneumoniae in the context of the bovine milk microbiome should be analyzed further.

microbiology↗

bioRxiv2024

Congruent brain signatures specific to speech sounds in fronto-temporal cortex during language production and understanding.

In this fMRI study we investigated whether language production and understanding recruit the same phoneme-specific networks. We did so by comparing the brains response to different phoneme categories in minimal pairs: Bilabial-initial words (e.g., monkey) were contrasted to alveolar-initial words (e.g., donkey) in 37 participants performing both language production and comprehension tasks. Region-of-Interest analyses showed that the same sensorimotor networks were activated across the language modalities. In motor regions, word production and comprehension elicited the same phoneme-specific topographical activity patterns, with stronger haemodynamic activations for alveolar-initial words in the tongue cortex and stronger activations for bilabial-initial words in the lip cortex. In the posterior and middle superior temporal cortex, production and comprehension likewise resulted in similar activity patterns, with enhanced activations to alveolar-compared to bilabial-initial words. These results disagree with the classical separation between language production and understanding in neurobiological models of language, and instead advocate for a cortical organization where the same phoneme-specific acoustic-and-articulatory representations carry production and comprehension.

neuroscience↗

bioRxiv2024

Non-canonical nuclear function of glutaminase cooperates with Wnt signaling to drive EMT during neural crest development

Metabolic reprograming has been linked to epithelial-to-mesenchymal transition (EMT) in cancer cells, but how it influences EMT in normal cells remains largely unknown. Here we explored how metabolism impacts delamination and migration of avian trunk neural crest cells, an important stem cell population of the vertebrate embryo. We report that delamination exhibits a quiescent metabolic phenotype whereas migration is characterized by OXPHOS-driven metabolism coupled to distinct expression of metabolic, EMT and developmental genes. While glucose and glutamine are required for delamination and migration, we uncover a novel role for glutamine and its catabolizing enzyme glutaminase in delamination. Specifically, glutamine is required for nuclear translocation of glutaminase, which interacts and cooperates with Wnt signaling to regulate EMT gene expression and cell cycle during delamination. Our data indicate that similarly to cancer cells, embryonic cells engage metabolic enzymes for non-canonical signaling functions to connect metabolism with EMT.

developmental biology↗

bioRxiv2024

The occurrence of Aerococcus urinaeequi and non-aureus Staphylococci in raw milk negatively correlates with Escherichia coli clinical mastitis

Escherichia coli is a common environmental pathogen associated with clinical mastitis (CM) in dairy cattle. There is an interest in optimizing the udder microbiome to increase the resistance of dairy cattle to E. coli CM; however, the details of which members of the healthy udder microbiota may play a role in antagonizing E. coli are unknown. In this study, we characterized the bacterial community composition in raw milk collected from quarters of lactating Holstein dairy cows that developed E. coli CM during lactation, including milk from both healthy and diseased quarters (n=1,172). The milk microbiome from infected quarters was compared before, during, and after CM. A combination of 16S rRNA gene amplicon and shotgun metagenomic sequencing were used generate datasets with a high level of both depth and breadth. The microbial diversity present in raw milk significantly decreased in quarters experiencing E. coli CM, indicating that E. coli displaces other members of the microbiome. However, the diversity recovered very rapidly after infection. Two genera: Staphylococcus, Aerococcus, and the family Oscillospiraceae were significantly more abundant in healthy quarters with low inflammation. Species of these genera: Staphylococcus auricularis, Staphylococcus haemolyticus, and Aerocussus urinaeequi were identified by shotgun metagenomics. Thus, these species are of interest for optimizing the microbiome to discourage E. coli colonization without triggering inflammation. ImportanceIn this study we show that E. coli outcompetes and displaces several members of the udder microbiome during CM, but that microbial diversity recovers post-infection. In milk from quarters which remained healthy, the community composition was often highly dominated by S. auricularis, S. haemolyticus, A. urinaeequi, and S. marcescens without corresponding increases in somatic cell count (SCC). Community dominance by these organisms, without inflammation, could indicate that these species could be potential prophylactics that could contribute to colonization resistance for the pathogen and prevent future instances of E. coli CM.

microbiology↗

bioRxiv2024

High-throughput nano-flow proteomics using a dual-column electrospray source

With current trends in proteomics, especially regarding clinical and low input (to single cell) samples, it is increasingly important to both maximize the throughput of the analysis and maintain as much sensitivity as possible. The new generation of mass spectrometers (MS) are taking a huge leap in sensitivity, allowing to analyze samples with shorter liquid chromatography (LC) methods while digging as deep in the proteome. However, the throughput can be doubled by implementing a dual column nano-LC-MS configuration. For this purpose, we used a dual-column setup with a two-outlet electrospray source, and compared it to a classic dual-column setup with a single-outlet source.

biochemistry↗

bioRxiv2023

Benchmarking DIA data analysis workflows

Data independent acquisition (DIA) has become a well-established method in LC-MS driven proteomics. Nonetheless, there are still a lot of possibilities at the data analysis level. By benchmarking different DIA analysis workflows using a ground-truth sample, consisting of a differential spike-in of UPS2 in a constant yeast background, we provide a roadmap for DIA data analysis of shotgun samples based on whether sensitivity, precision or accuracy is of the essence. Three different commonly used DIA software tools (DIA-NN, EncyclopeDIA and SpectronautTM) were tested in both spectral library mode and spectral library-free mode. In spectral library mode we used the independent spectral library prediction tools PROSIT and MS2PIP together with DeepLC, next to the classical DDA-based spectral libraries. In total we benchmarked 12 DIA workflows. DIA-NN in library-free mode or using in silico predicted libraries, together with Spectronaut in library-free mode, shows the highest sensitivity maintaining a high reproducibility and accuracy. In general, DIA-NN shows the best reproducibility, while the accuracy is comparable for all DIA workflows.

bioinformatics↗

bioRxiv2023

Conservation genetics of the white-bellied pangolin in West Africa: a story of lineage admixture, declining demography and wide sourcing by urban bushmeat markets

During the last 40 years, the volumes of African pangolins feeding the illegal wildlife trade have dramatically increased. We conducted a conservation genetics survey of the most traded African species, the white bellied pangolin (WBP; Phataginus tricuspis), across three West African countries including Guinea, Cote dIvoire and Ghana. Our study combining mitochondrial DNA (mtDNA) sequencing and microsatellites genotyping is the first to reveal a global pattern of admixture between two of the six mitochondrial lineages as previously delimited within WBP. We found a signature of isolation-by-distance and a lack of population genetic structuring, supporting the idea that WBP may have underestimated dispersal abilities. Levels of genetic diversity were low compared to central African lineages, reinforcing the picture of genetic pauperization shared by West African WBP. We observed a 85-98% decline in the effective population size of WBP occurring c. 3200 to 400 ya, with current numbers (520-590) at the lower end of the conservative thresholds for minimum viable population size. The microsatellites markers were powerful enough to differentiate between individuals and identify replicated samples, confirming the utility of this approach in tracing the pangolin trade. Genetic diversity estimates confirmed that Yopougon, the main bushmeat market from Abidjan (Cote dIvoire), was fed by a large trade network as confirmed by vendors reporting 10 different sources situated 62-459 km away from the market. We conclude that WBP distributed in the Upper Guinean Block should be considered a single management unit of high conservation concern, as impacted by genetic diversity erosion, drastic decline in effective population size and wide range sourcing for feeding urban bushmeat markets. Given the genetic admixture pattern detected within WBP from West Africa, we advocate for a multi-locus strategy to trace the international trade of the species.

genetics↗

bioRxiv2022

Glucose oxidation and nutrients availability drive neural crest development

Bioenergetic metabolism is a key regulator of cellular function and signaling activity but the exact roles of nutrient utilization and energy production in embryonic development remain unknown. Here we investigated the metabolic pathways and deciphered the role of carbon metabolism required for the development of neural crest cells (NCC), a migratory stem cell population of the vertebrate embryo. We uncovered that glucose oxidation constitutes the prominent metabolic signature of trunk NCC and supports their delamination, migration, and proliferation. Additionally, we found that glycolysis, mitochondrial respiration and the pentose phosphate pathway are all mobilized downstream of glucose uptake. These metabolic pathways do not support specific cellular processes but cooperate and are integrated to accomplish epithelium-to-mesenchyme transition, adhesion, locomotion and proliferation. Moreover, using different nutrient supplies (glucose vs. pyruvate) we show that glucose is crucial to modulate NCC migration and adaptation to environmental stiffness, control NCC stemness and drive their fate decisions through regulation of specific gene expression. Our data establish that NCC development is instructed by metabolic cues that mobilize defined metabolic pathways cooperating together in response to nutrient availability. SUMMARY STATEMENTHere we show that neural crest cell migration and fate decisions rely primarily on glucose oxidation for energy production and mobilize multiple cooperating metabolic pathways for their biosynthetic needs and execution of gene programs.

developmental biology↗

bioRxiv2021

The same ultra-rapid parallel brain dynamics underpin the production and perception of speech.

The temporal dynamics by which linguistic information becomes available is one of the key properties to understand how language is organised in the brain. An unresolved debate between different brain language models is whether words, the building blocks of language, are activated in a sequential or parallel manner. In this study we approached this issue from a novel perspective by directly comparing the time course of word component activation in speech production versus perception. In an overt object naming task and a passive listening task we analysed with mixed linear models at the single-trial level the event-related brain potentials elicited by the same lexico-semantic and phonological word knowledge in the two language modalities. Results revealed that both word components manifested simultaneously as early as 75 ms after stimulus onset in production and perception; differences between the language modalities only became apparent after 300 ms of processing. The data provide evidence for ultra-rapid parallel dynamics of language processing and are interpreted within a neural assembly framework where words recruit the same integrated cell assemblies across production and perception. These word assemblies ignite early on in parallel and only later on reverberate in a behaviour-specific manner.

neuroscience↗

bioRxiv2020

Extracellular domains of E-cadherin determine key mechanical phenotypes of an epithelium through cell- and non-cell-autonomous outside-in signalling

Cadherins control intercellular adhesion in most metazoans. In vertebrates, intercellular adhesion differs considerably between cadherins of type-I and type-II, predominantly due to their different extracellular regions. Yet, intercellular adhesion critically depends on actomyosin contractility, in which the role of the cadherin extracellular region is unclear. Here, we dissect the roles of the Extracellular Cadherin (EC) Ig-like domains by expressing chimeric E-cadherin with E-cadherin and cadherin-7 Ig-like domains in cells naturally devoid of cadherins. Using cell-cell separation, cortical tension measurement, tissue-scale stretching and migration assays, we show that distinct EC repeats in the extracellular region of cadherins differentially modulate epithelial sheet integrity, cell-cell separation forces, and cell cortical tension through a Cdc42 pathway, which further differentially regulate epithelial tensile strength, ductility, and ultimately collective migration. Interestingly, dissipative processes rather than static adhesion energy mostly dominate cell-cell separation forces. We provide a framework for the emergence of epithelial phenotypes from cell mechanical properties dependent on EC outside-in signalling.

cell biology↗