Biology subjects

Redon, R.

Publications and source records attributed to Redon, R..

8 recordsLinked to original sources

bioRxiv2025

ANGPTL6 variant induces cerebral vascular dysfunction and predisposes to intracranial aneurysm in mice

BackgroundIntracranial aneurysm (IA) is a common cerebrovascular abnormality characterized by localized dilation and wall thinning in intracranial arteries, that frequently leads to fatal sub-arachnoid hemorrhage. Pathophysiological mechanisms responsible for AI remains largely unknown, but increasing evidence suggest that genetic susceptibility plays a predominant role. We recently identified a rare nonsense variant in ANGPTL6 gene that prevented angiopoietin-like 6 (ANGPTL6) secretion and predisposed to IA. The aim of this study is now to understand why the ANGPTL6 variant predisposes to IA. MethodsAngptl6-knock in mice were generated by homologous recombination. Cerebral arteries of the circle of Willis have been analyzed under basal and hemodynamic overload conditions. Functional properties of cerebral arteries have been analyzed by pressure arteriography. Effect of recombinant ANGPTL6 have been assessed on vascular smooth muscle cells and ANGPTL6 partners have been analyzed by surface plasmon resonance. ResultsAngptl6-knock in mice display endothelial dysfunction expressed by reduced NO production in response to flow in cerebral arteries. They present exaggerated dilatation of cerebral arteries under hypertensive stress, and aggravated wall damage and aneurysmal remodeling of the intima and media at arterial bifurcations of the circle of Willis under hemodynamic overload. Matrix bound ANGPTL6 decreased VSMC migration and increased adhesion and FAK signaling activation, without affecting VSMC phenotype. Surface plasmon resonance analyses identified v{beta}5 integrin as a new ANPTL6 receptor. ConclusionsAngptl6-knock in mice mimicked the main features of IA in humans. ANGPTL6 appears to be an extracellular matrix component regulating vascular cell function, which may be involved in mechanosensing and generating adapted vascular cell responses to hemodynamic stress. Non-secreted ANGPTL6 variants would result in the loss of this function, thus favoring IA under conditions of hemodynamic overload.

physiology↗

bioRxiv2024

In vitro models to mimic tumor endothelial cell-mediated immune cell reprogramming in lung adenocarcinoma

Tumor endothelial (TECs) cells play a critical role in regulating immune responses within the tumor microenvironment (TME). However, the mechanisms by which TECs modulate immune cell population remain unclear, particularly in non-small cell lung cancer (NSCLC). Here, we investigated how NSCLC cells tweak normal endothelial cells (NECs) into TECs and the subsequent effects on immune regulation. NECs were cocultured with various NSCLC cell lines, using 2D and 3D coculture models to evaluate TEC-mediated effects on immune cells. We show that direct coculture led to significant transcriptomic, proteomic and kinomic alterations in TECs, especially in pro-inflammatory pathways. We identified a downregulation of the co-stimulatory molecule OX40L in TECs compared to NECs, suggesting impaired T-cell proliferation support. While TECs showed a limited effect on CD8+ T-cell activation, TECs supported CD4 T-cells polarization into Treg and Th22 subsets. Moreover, TECs also promoted M2-like macrophages polarization, thereby potentially contributing to the TME immunosuppression. State-of-the-art single-cell RNA sequencing of 3D multicellular tumor spheroids (MCTS) revealed distinct TEC subpopulations, including an inflammatory subset with UPR signature. The latter was absent in 2D-cultured NECs but present in freshly isolated and 2D-cultured TECs from NSCLC patients. Importantly, we also identified within MCTS a perivascular M2-like macrophage subset, predicted to interact with TECs with MIF and Midkine signaling. In conclusion, TECs in NSCLC tumors play a pivotal role in remodeling the TME immune landscape by promoting immune suppression. This study highlights the complex immunoregulatory functions of TECs within our different in vitro models that mimic aspects of the TME. Our data may provide new insights into potential therapeutic strategies targeting TECs or regulatory signaling to improve the efficacy of immunotherapy in NSCLC.

cancer biology↗

bioRxiv2023

SURFBAT: a surrogate family-based association test building on large imputation reference panels

Genotype-phenotype association tests are typically adjusted for population stratification using principal components that are estimated genome-wide. This lacks resolution when analysing populations with fine structure and/or individuals with fine levels of admixture. This can affect power and precision, and is a particularly relevant consideration when control individuals are recruited using geographic selection criteria. Such is the case in France where we have recently created reference panels of individuals anchored to different geographic regions. To make correct comparisons against case groups, who would likely be gathered from large urban areas, new methods are needed. We present SURFBAT (a SURrogate Family Based Association Test) which performs an approximation of the transmission-disequilibrium test. Our method hinges on the application of genotype imputation algorithms to match similar haplotypes between the case and control groups. This permits us to approximate local ancestry informed posterior probabilities of un-transmitted parental alleles of each case individual. SURFBAT provides an association test that is inherently robust to fine-scale population stratification and opens up the possibility of efficiently using large imputation reference panels as control groups for association testing. The method is suitable when the control panel spans the local ancestry spectrum of the case-group population and each control has similar paternal and maternal ancestries. This is the case for our reference panels where individuals have their four grand-parents born in the same geographic area. In contrast to other methods for association testing that incorporate local-ancestry inference, SURFBAT does not require a set of ancestry groups to be defined, nor for local ancestry to be explicitly estimated. We demonstrate the interest of our tool on simulated datasets created from the 1000 Genomes project and the FranceGenRef project, as well as on a real-data example for a group of case individuals affected by Brugada syndrome.

genetics↗

bioRxiv2022

Deciphering transcriptional networks during human cardiac development

Human heart development is governed by transcription factor (TF) networks controlling dynamic and temporal gene expression alterations. Therefore, to comprehensively characterize these transcriptional regulations, day-to-day transcriptomic profiles were generated throughout the directed cardiac differentiation, starting from three distinct human induced pluripotent stem cell lines from healthy donors (32 days). We applied an expression-based correlation score to the chronological expression profiles of the TF genes, and clustered them into 12 sequential gene expression waves. We then identified a regulatory network of more than 23 000 activation and inhibition links between 216 TFs. Within this network, we observed previously unknown inferred transcriptional activations linking IRX3 and IRX5 TFs to three master cardiac TFs: GATA4, NKX2-5 and TBX5. Luciferase and co-immunoprecipitation assays demonstrated that these 5 TFs could (1) activate each others expression, (2) interact physically as multiprotein complexes and (3) together, finely regulate the expression of SCN5A, encoding the major cardiac sodium channel. Altogether, these results unveiled thousands of interactions between TFs, generating multiple robust hypotheses governing human cardiac development.

developmental biology↗

bioRxiv2022

Can imputation in a European country be improved by local reference panels? The example of France

France has a population with extensive internal fine-structure; and while public imputation reference panels contain an abundance of European genomes, there include few French genomes. Intuitively, using a study specific panel (SSP) for France would therefore likely be beneficial. To investigate, we imputed 550 French individuals using either the University of Michigan imputation server with the Haplotype Reference Consortium panel, or in-house using an SSP of 850 whole-genome sequenced French individuals. With approximate geo-localization of both our target and SSP individuals we are able to pinpoint different scenarios where SSP-based imputation would be preferred over server-based imputation or vice-versa. We could also show to a high degree of resolution how the proximity of the reference panel to a target individual determined the accuracy of both haplotype phasing and genotype imputation. Previous comparisons of different strategies have shown the benefits of combining public reference panels with SSPs. Getting the best out of both resources simultaneously is unfortunately impractical. We put forward a pragmatic solution where server-based and SSP-based imputation outcomes can be combined based on comparing posterior genotype probabilities. Such an approach can give a level of imputation accuracy markedly in excess of what could be achieved with either strategy alone.

genetics↗

bioRxiv2019

The Genetic History of France

The study of the genetic structure of different countries within Europe has provided significant insights into their demographic history and their actual stratification. Although France occupies a particular location at the end of the European peninsula and at the crossroads of migration routes, few population genetic studies have been conducted so far with genome-wide data. In this study, we analyzed SNP-chip genetic data from 2 184 individuals born in France who were enrolled in two independent population cohorts. Using FineStructure, six different genetic clusters of individuals were found that were very consistent between the two cohorts. These clusters match extremely well the geography and overlap with historical and linguistic divisions of France. By modeling the relationship between genetics and geography using EEMS software, we were able to detect gene flow barriers that are similar in the two cohorts and corresponds to major French rivers or mountains. Estimations of effective population sizes using IBDNe program also revealed very similar patterns in both cohorts with a rapid increase of effective population sizes over the last 150 generations similar to what was observed in other European countries. A marked bottleneck is also consistently seen in the two datasets starting in the fourteenth century when the Black Death raged in Europe. In conclusion, by performing the first exhaustive study of the genetic structure of France, we fill a gap in the genetic studies in Europe that would be useful to medical geneticists but also historians and archeologists.

genetics↗

bioRxiv2019

Genetic association analyses highlight IL6, ALPL, and NAV1 as three new susceptibility genes underlying calcific aortic valve stenosis

To date, only two replicated loci, LPA and PALMD, have been identified as causal genes for calcific aortic valve stenosis (CAVS) using genome-wide and transcriptome-wide association study (TWAS). To identify additional susceptibility genes for CAVS, we performed a GWAS meta-analysis totaling 5,115 cases and 354,072 controls of European descent. Four loci achieved genome-wide significance, including two new loci: IL6 (interleukin 6) on 7p15.3 and ALPL (alkaline phosphatase) on 1p36.12. A TWAS integrating an eQTL study of 233 human aortic valves identified NAV1 (neuron navigator 1) on 1q32.1 as a new candidate causal gene. The CAVS risk alleles were associated with higher mRNA expression of NAV1 in valve tissues. Association results at the genome-wide scale showed genetic correlation with coronary artery disease and cardiovascular risk factors. Our study highlights three new loci implicating inflammation, mineralization and blood vessel integrity in CAVS pathogenesis and supports shared genetic etiology with cardiovascular traits.

genomics↗

bioRxiv2017

JfxNgs : A BAM/VCF viewer with javascript-based filtering/reformatting functionalities

MotivationVisualizing BAM and VCF files is a common task for biologists, but theyre missing a way to filter and to explore the details of each short-read or variation.\n\nResultsIn that context, we wrote an interactive java-based interface named JfxNgs that uses javascript snippets to filter and reformat BAM and VCF files.\n\nAvailabilityhttps://github.com/lindenb/jvarkit/blob/master/docs/JfxNgs.md\n\nContactpierre.lindenbaum@univ-nantes.fr.

bioinformatics↗