Measurement of the Tau Lepton Polarisation at LEP2

A first measurement of the average polarisation P_tau of tau leptons produced in e+e- annihilation at energies significantly above the Z resonance is presented. The polarisation is determined from the kinematic spectra of tau hadronic decays. The measured value P_tau = -0.164 +/- 0.125 is consistent with the Standard Model prediction for the mean LEP energy of 197 GeV.A first measurement of the average polarisation Pτ of tau leptons produced in e + e − annihilation at energies significantly above the Z resonance is presented. The polarisation is determined from the kinematic spectra of tau hadronic decays. The measured value Pτ=−0.164±0.125 is consistent with the Standard Model prediction for the mean LEP energy of 197 GeV.A first measurement of the average polarisation P_tau of tau leptons produced in e+e- annihilation at energies significantly above the Z resonance is presented. The polarisation is determined from the kinematic spectra of tau hadronic decays. The measured value P_tau = -0.164 +/- 0.125 is consistent with the Standard Model prediction for the mean LEP energy of 197 GeV

Gut Microbiota, in the Halfway between Nutrition and Lung Function

The gut microbiota is often mentioned as a "forgotten organ" or "metabolic organ", given its profound impact on host physiology, metabolism, immune function and nutrition. A healthy diet is undoubtedly a major contributor for promoting a "good" microbial community that turns out to be crucial for a fine-tuned symbiotic relationship with the host. Both microbial-derived components and produced metabolites elicit the activation of downstream cascades capable to modulate both local and systemic immune responses. A balance between host and gut microbiota is crucial to keep a healthy intestinal barrier and an optimal immune homeostasis, thus contributing to prevent disease occurrence. How dietary habits can impact gut microbiota and, ultimately, host immunity in health and disease has been the subject of intense study, especially with regard to metabolic diseases. Only recently, these links have started to be explored in relation to lung diseases. The objective of this review is to address the current knowledge on how diet affects gut microbiota and how it acts on lung function. As the immune system seems to be the key player in the cross-talk between diet, gut microbiota and the lungs, involved immune interactions are discussed. There are key nutrients that, when present in our diet, help in gut homeostasis and lead to a healthier lifestyle, even ameliorating chronic diseases. Thus, with this review we hope to incite the scientific community interest to use diet as a valuable non-pharmacological addition to lung diseases management. First, we talk about the intestinal microbiota and interactions through the intestinal barrier for a better understanding of the following sections, which are the main focus of this article: the way diet impacts the intestinal microbiota and the immune interactions of the gut-lung axis that can explain the impact of diet, a key modifiable factor influencing the gut microbiota in several lung diseases

L'Auto-vélo : automobilisme, cyclisme, athlétisme, yachting, aérostation, escrime, hippisme / dir. Henri Desgranges

18 mai 19251925/05/18 (A26,N8920)

ZIP-file of fluorescent 3D image stacks of matrix-embedded prostate cancer cell co-cultures (WPMY-1) treated with MDV (10 uM)

ZIP-file containing confocal image stacks from LNCaP (RFP) 3D co-cultures (WPMY-1, GFP) embedded in Matrigel-collagen and grown in 96-well plates. The cultures are stained with Hoechst and EdU and are treated with MDV (10 uM) and imaged at day 20. Images are 16-bit multi-channel image stacks containing the EdU, RFP, GFP and Hoechst channel (in that order) . The pixelsize is ( 1.3 x 1.3 x 10 ) micron at 10x magnification. Images are in TIF-format, and are best opened in ImageJ for visualisation

ZIP-file of fluorescent (widefield) images of bioreactor breast cancer cell cultures

ZIP-file containing widefield images from MCF7 (GFP) 3D co-cultures (Human Dermal Fibroblasts, RFP) embedded in alginate capsules and grown in a stirred tank bioreactor. Images are RGB with the GFP and brightfield channels represented by green and gray colors, respectively. The pixelsize is 1.84 micron. Images are in TIF format

Example CellProfiler pipeline for the image analysis of the lung cancer cell bioreactor cultures

Example CellProfiler pipeline for the image analysis of the breast cancer cell (MCF7) bioreactor culture samples (also uploaded to this figShare record under "ZIP-file of fluorescent (widefield) images of bioreactor breast cancer cell cultures"). To use this pipeline it should be opened with CellProfiler and the file paths in the first module "Images" (which loads the input images) should be adapted to reflect the location of the images, as well as the output paths in the modules "ExportToSpreadSheet" and "SaveImages"

Example fluorescent widefield image from a bioreactor lung cancer cell co-culture treated with docetaxel

Example confocal image stack from NCI-H1437 (RFP) 3D co-culture (Cancer Associated Fibroblasts) embedded in alginate capsules and grown in a stirred tank bioreactor. The culture is treated with docetaxel. The image is a RGB image with the RFP, GFP, and brightfield channel represented by a red, green, and gray color, respectively. The pixelsize is 2.22 micron. The image is in TIF-format

ZIP-file of fluorescent 3D image stacks of matrix-embedded (Matrigel-collagen mix) breast cell co-cultures

ZIP-file containing confocal image stacks from MCF7 (GFP) 3D co-cultures (Human Dermal Fibroblasts, RFP) embedded in Matrigel-collagen mix and grown in 96-well plates. The cultures are stained with Hoechst and EdU and treated with DMSO (control samples), Fulvestrant, or docetaxel. Images are 8-bit multi-channel image stacks containing the Hoechst, GFP, RFP, EdU (and brightfield) channel. The lateral pixelsize is ( 1.25 x 1.25 x 10.0 ) micron. Images are in CZI-format

ZIP-file of fluorescent (widefield) images of bioreactor lung cancer cell cultures

ZIP-file containing widefield images from NCI (RFP) 3D mono-cultures and co-cultures (Cancer Associated Fibroblasts, Normal Fibroblasts, Human Dermal Fibroblasts, GFP) embedded in alginate capsules and grown in a stirred tank bioreactor. Images are RGB with the RFP, GFP and brightfield channels represented by red, green and gray colors, respectively. The pixelsize is 1.84 micron. Images are in TIF format

MATLAB script: overview of the output

Details of the output generated by the script file entitled "MATLAB script for the image analysis of 3D image stacks of 3D multi-cellular spheroid cultures