Anti-CD14 monoclonal antibody, clone 61D3 [R-PE/Cy5®]

Objectives The activation of immune responses in mucosal tissues is a key factor for the development and sustainment of several pathologies including infectious diseases and autoimmune diseases. However, translational research and personalised medicine struggle to advance because of the lack of suitable preclinical models that successfully mimic the complexity of human tissues without relying on in vivo mouse models. Here, we propose two in vitro human 3D tissue models, deprived of any resident leucocytes, to model mucosal tissue inflammatory processes. Methods We developed human 3D lung and intestinal organoids differentiated from induced pluripotent stem cells to model mucosal tissues. We then compared their response to a panel of microbial ligands and investigated their ability to attract and host human primary monocytes. Results Mature lung and intestinal organoids comprised epithelial (EpCAM(+)) and mesenchymal (CD73(+)) cells which responded to Toll-like receptor stimulation by releasing pro-inflammatory cytokines and expressing tissue inflammatory markers including MMP9, COX2 and CRP. When added to the organoid culture, primary human monocytes migrated towards the organoids and began to differentiate to an 'intermediate-like' phenotype characterised by increased levels of CD14 and CD16. Conclusion We show that human mucosal organoids exhibit proper immune functions and successfully mimic an immunocompetent tissue microenvironment able to host patient-derived immune cells. Our experimental set-up provides a novel tool to tackle the complexity of immune responses in mucosal tissues which can be tailored to different human pathologies.

Differentiation of cells by flow cytometry provides informative somatic cell counts (SCCs) that allow analyzing leukocyte population patterns in udder infections of different etiologies. Postulating that this approach also enhances the statistical power to detect genetic variants linked to cell levels in milk of healthy mammary glands, we used monoclonal antibodies anti-CD18, anti-CD4, anti--CD14, and anti-PMN to count cells presenting these surface antigens, and performed a genome-wide association study of these counts in 125 Israeli Holsteins genotyped using SNP BeadChips. We identified an informative haplotype of 15 SNPs in the centromeric end of BTA3 that was strongly associated with CD18 cells (p< 2.3 x 10(-9)). Within this region, examination of the network of genes interacting withITGB2(CD18) indicated an Fc-gamma-receptor gene cluster, includingFCGR2A(CD32). Sanger-sequence analysis ofFCGR2s-linked exon 3 variation to CD18 counts. Meta-analysis of RNA-Seq data revealed a significant negative correlation (R = -0.51) between expression of CD32 and CD18 in milk. Assembly of DNA-Seq reads uncovered FCGR copy-number variation and a variant, designatedV7, was abundant in dairy cattle, probably reflecting adaptation to selection pressure for low SCC in Holstein milk.