br Experimental design materials and

Experimental design, materials and methods
Funding sources This work was supported by Paul Sabatier University (Toulouse, France), Région Midi-Pyrénées and by the French Ministry of Higher Education and Research.
Acknowledgements
Data The dataset contained in this article provides a detailed characterization of the expression of the IL-6 receptor (IL-6R) on circulating human CD4+ CD127lowCD25high T buy LY 294002 ex vivo. These data also provide a functional characterization of the assessed T cell subsets, with a particular emphasis on a subset of IL-6Rhi regulatory T cells (Tregs) lacking the expression of the co-inhibitory receptor TIGIT. The Fig. 1 and Fig. 2 depict the delineation of the assessed immune subsets and their responsiveness to IL-6 signalling. Fig. 3 depicts data from a clinical study investigating the responsiveness of the assessed T cells subsets to IL-2 signalling in vivo. Fig. 4 depicts the proliferative capacity of the Treg subsets in vitro, in the absence of exogenous IL-2. Fig. 5 and Fig. 6 depict the expression at the protein level of Th17 surface markers. Fig. 7 depicts the differential mRNA expression of 579 immune genes between IL-6RhiTIGIT− and IL-6RhiTIGIT+ Tregs. Fig. 8, Fig. 9 and Fig. 10 depict the immunophenotyping of the Th17 transcription factor RORγt, and different tissue-homing receptors at the protein level. Fig. 11 depicts the expression of two cytokines, IL-17 and IL-10, in TIGIT+ Tregs and Fig. 12 depicts the variation of HELIOS-TIGIT- and HELIOS+TIGIT+ Tregs measured by intracellular flow cytometry on cryopreserved peripheral blood mononuclear cells (PBMCs) on 8 selected patients from the DILT1D clinical study. Table 1 provides the complete information on the fluorochrome-conjugated antibody panels used in tis study, and Table 2 and Table 3 contain the complete gene expression data of 579 immune genes on the assessed T cell subsets, obtained in ex vivo-isolated cells or following in vitro stimulation, respectively.
Experimental design, materials and methods
Acknowledgements
Data This article features raw stress–strain tensile data for approximately 500 specimens corresponding to different natural fibre reinforced composite laminates. In addition, we provide here the calculated elastic modulus, strength and failure strain values for each specimen. Finally, we include python codes midbrain enables to show the experimental statistical distributions for each material system and calculate the corresponding fit of their probability distribution functions. The complete data can be found in the file ‘Data_in_Brief-Natural_Fibres.zip’ available in the Mendeley data repository under the following identifier DOI: 10.17632/v25pzywt5c.1.
Experimental design, materials and methods
Acknowledgements This investigation was partially carried out under the Cooperative Research Centre for Advanced Composite Structures Australia Project 1.1 \"Plantfibre bio-composites\". The authors would also like to acknowledge the support of the Composites Innovation Centre in Manitoba, Canada.
Data The Thermogravimetric Analysis–Differential thermogravimetric Analysis (TGA–DTA) of the aerogels is presented in Fig. 1. In Fig. 2, the X-ray Diffraction (XRD) images are presented. In Fig. 3 Scanning Electron Microscope (SEM) show images of aerogels synthesized. Fig. 4, the adsorption–desorption isotherms of N2 at −196°C are shown. Fig. 5 shows the pore size distribution (PSD) obtained by applying the NLDFT and QSDFT kernels. Fig. 6 shows a scheme of the immersion calorimeter used to perform the determinations. Fig. 7 shows the relationship between the enthalpies of immersion and the PSD. Table 1 presents the data corresponding to the textural parameters of the synthesised aerogels and includes the index of hydrophobicity. Table 2 presents the corresponding data obtained for the PSD using the NLDFT and QSDFT kernels.
Materials, methods and experimental design