Network analysis of large-scale ImmGen and Tabula Muris datasets highlights metabolic diversity of tissue mononuclear phagocytes

The diversity of mononuclear phagocyte (MNP) subpopulations across tissues is one of the key physiological characteristics of the immune system. Here, we focus on understanding the metabolic variability of MNPs through metabolic network analysis applied to three large-scale transcriptional datasets: we introduce (1) an ImmGen MNP open-source dataset of 337 samples across 26 tissues; (2) a myeloid subset of ImmGen Phase I dataset (202 MNP samples); and (3) a myeloid mouse single-cell RNA sequencing (scRNA-seq) dataset (51,364 cells) assembled based on Tabula Muris Senis. To analyze such large-scale datasets, we develop a network-based computational approach, genes and metabolites (GAM) clustering, for unbiased identification of the key metabolic subnetworks based on transcriptional profiles. We define 9 metabolic subnetworks that encapsulate the metabolic differences within MNP from 38 different tissues. Obtained modules reveal that cholesterol synthesis appears particularly active within the migratory dendritic cells, while glutathione synthesis is essential for cysteinyl leukotriene production by peritoneal and lung macrophages

Open Source ImmGen: network perspective on metabolic diversity among mononuclear phagocytes

We dissect metabolic variability of mononuclear phagocyte (MNP) subpopulations across different tissues through integrative analysis of three large scale datasets. Specifically, we introduce ImmGen MNP Open Source dataset that profiled 337 samples and extended previous ImmGen effort which included 202 samples of mononuclear phagocytes and their progenitors. Next, we analysed Tabula Muris Senis dataset to extract data for 51,364 myeloid cells from 18 tissues. Taken together, a compendium of data assembled in this work covers phagocytic populations found across 38 different tissues. To analyse common metabolic features, we developed novel network-based computational approach for unbiased identification of key metabolic subnetworks based on cellular transcriptional profiles in large-scale datasets. Using ImmGen MNP Open Source dataset as baseline, we define 9 metabolic subnetworks that encapsulate the metabolic differences within mononuclear phagocytes, and demonstrate that these features are robustly found across all three datasets, including lipid metabolism, cholesterol biosynthesis, glycolysis, and a set of fatty acid related metabolic pathways, as well as nucleotide and folate metabolism. We systematically define major features specific to macrophage and dendritic cell subpopulations. Among other things, we find that cholesterol synthesis appears particularly active within the migratory dendritic cells. We demonstrate that interference with this pathway through statins administration diminishes migratory capacity of the dendritic cells in vivo. This result demonstrates the power of our approach and highlights importance of metabolic diversity among mononuclear phagocytes

Nouvelles archéologiques

Gabriel Albert, Dussaud René, Cumont Franz, Guyer S. Nouvelles archéologiques. In: Syria. Tome 14 fascicule 1, 1933. pp. 86-92

Nouvelles archéologiques

Gabriel Albert, Dussaud René, Cumont Franz, Guyer S. Nouvelles archéologiques. In: Syria. Tome 14 fascicule 1, 1933. pp. 86-92

Mice Transgenic For Human Dominant Mutations Of The GUCY2D Gene

Purpose: Animal models are essential to study pathological mechanisms and to test new therapeutic strategies. Many mouse models mimic human rod loss but only a limited number simulate cone dystrophies. The importance of cone function for human vision highlights the need to engineer a model for cone degeneration. An approach of lentiviral-directed transgenesis was tested in mice to express a dominant mutant gene described in a human cone dystrophy.Methods: Lentiviral vectors (LV) encoding either hrGFPII or the human double mutant GUCY2DE837D/R838S cDNA under the control of a region of the pig arrestin-3 promoter (Arr3) were produced and used for lentiviral-derived transgenesis. PCR-genotyping determined the transgenic mouse ratio. The expression of GFP was then analyzed both in vivo and by immunohistochemistry in Arr3-GFPII mice. Functional analysis was performed by ERG at 5, 9, 16 and 24 weeks for Arr3-GUCY2DE837D/R838S mice. Mice were sacrificed at 10 months of age for both histological analysis and RNA extraction.Results: While all the newborns from the transgenesis using the LV-Arr3-GFPII were transgenic, one third of the newborns from the LV-Arr3-GUCY2DE837D/R838S transgenesis were positive. Expression of GFPII was demonstrated by in vivo imaging, while expression of the mutant GUCY2D transcript was detetected using RT-PCR. No severe alteration of the functional response was observed up to 24 weeks of age in the transgenic mice. No obvious modification of the retinal morphology was identified either.Conclusions: Lentiviral-directed transgenesis is a rapid and straightforward method to engineer transgenic mice. Protein expression can be specifically targeted to the retina and thus could help to study the effect of expression of dominant mutant proteins. In our case, Arr3-GUCY2DE837D/R838S mice have a less severe phenotype than that described for human patients. Further analyses are required to understand this difference but several modifications of the expression cassette might also help to increase the expression of the mutant protein and reinforce the phenotype. Interestingly, the same construct is less effective in mouse versus pig retina (see Arsenijevic et al. ARVO 2011 abstract)

A distal intergenic region controls pancreatic endocrine differentiation by acting as a transcriptional enhancer and as a polycomb response element

Lineage-selective expression of developmental genes is dependent on the interplay between activating and repressive mechanisms. Gene activation is dependent on cell-specific transcription factors that recognize transcriptional enhancer sequences. Gene repression often depends on the recruitment of Polycomb group (PcG) proteins, although the sequences that underlie the recruitment of PcG proteins, also known as Polycomb response elements (PREs), remain poorly understood in vertebrates. While distal PREs have been identified in mammals, a role for positive-acting enhancers in PcG-mediated repression has not been described. Here we have used a highly efficient procedure based on lentiviral-mediated transgenesis to carry out in vivo fine-mapping of, cis-regulatory sequences that control lineage-specific activation of Neurog3, a master regulator of pancreatic endocrine differentiation. Our findings reveal an enhancer region that is sufficient to drive correct spacio-temporal expression of Neurog3 and demonstrate that this same region serves as a PRE in alternative lineages where Neurog3 is inactive

The ectopic expression of Pax4 in the mouse pancreas converts progenitor cells into α and subsequently β cells.

We have previously reported that the loss of Arx and/or Pax4 gene activity leads to a shift in the fate of the different endocrine cell subtypes in the mouse pancreas, without affecting the total endocrine cell numbers. Here, we conditionally and ectopically express Pax4 using different cell-specific promoters and demonstrate that Pax4 forces endocrine precursor cells, as well as mature α cells, to adopt a β cell destiny. This results in a glucagon deficiency that provokes a compensatory and continuous glucagon+ cell neogenesis requiring the re-expression of the proendocrine gene Ngn3. However, the newly formed α cells fail to correct the hypoglucagonemia since they subsequently acquire a β cell phenotype upon Pax4 ectopic expression. Notably, this cycle of neogenesis and redifferentiation caused by ectopic expression of Pax4 in α cells is capable of restoring a functional β cell mass and curing diabetes in animals that have been chemically depleted of β cells

Development and Study of a New Silane Based Polyurethane Hybrid Flexible Adhesive—Part 1: Mechanical Characterization

The need for more sustainable adhesive formulations has led to the use of silane-based adhesives in different industrial sectors, such as the automotive industry. In this work, the mechanical properties of a dual cure two-component prototype adhesive which combined silylated polyurethane resin (SPUR) with standard epoxy resin was characterized under quasi-static conditions. The characterization process consisted of tensile bulk testing, to determine the Young’s modulus, the tensile strength and the tensile strain to failure. The shear stiffness and shear strength were measured by performing a thick adherend shear test. The in-plane strain field was obtained using a digital image correlation method. Double-cantilever beam and mixed-mode tests were performed to assess the fracture toughness under pure modes. The prototype adhesive showed promising but lower properties compared to commercial solutions. Furthermore, the adhesive was modified via the addition of three different resin modifier additives and characterized via measuring the shear and tensile properties, but no enhancements were found. Finally, the adhesive was formulated with three different SPUR viscosities. The critical energy release rate analysis showed an optimum value for the medium viscosity SPUR adhesive