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Exosomes are critical mediators of intercellular crosstalk and regulator of cellular/tumor microenvironment. Exosomes have great prospects for clinical application as theranostic and prognostic probe. Nevertheless, the advancement of the exosomes research has been thwarted by limited knowledge elucidating the most efficient isolation method and theirin vivotrafficking. Here we have showed that combination of two size-based methods using 0.20 µm syringe filter and 100k centrifuge membrane filter followed by ultracentrifugation method yields a greater number of uniform exosomes. We also demonstrated the visual representation and quantification of differentialin vivodistribution of radioisotope131I-labelled exosomes from diverse cellular origins, e.g., tumor cells with or without treatments (HET0016 and GW2580), myeloid-derived suppressor cells and endothelial progenitor cells. We also determined that the distribution was dependent on the protein/cytokine contents of the exosomes. The appliedin vivoimaging modalities can be utilized to monitor disease progression, metastasis, and exosome-based targeted therapy.AbbreviationsbFGFbasic fibroblast growth factorCSF1Rcolony stimulating factor 1 receptorCTcomputed tomographyCTLA4cytotoxic T-lymphocyte-associated protein 4EGFepidermal growth factorEMTepithelial to mesenchymal transitionEVsextracellular vesiclesEPCsendothelial progenitor cellsFasLFas ligandG-CSFgranulocyte-colony stimulating factorGM-CSFgranulocyte-macrophage colony-stimulating factorHGFhepatocyte growth factorHSPheat shock proteinICAM-1intercellular adhesion molecule 1IFN-gammainterferon gammaIL – 1betainterleukin-1 betaIL – 1rainterleukin-1 receptor antagonistIL – 2interleukin-2IL – 4interleukin-4IL – 6interleukin-6IL – 7interleukin-7IL – 10interleukin-10IL – 12interleukin-12IL – 13interleukin-13IL – 17interleukin-17KCkeratinocyte-derived chemokineLIXlipopolysaccharide-induced CXC chemokineM-CSFmacrophage colony-stimulating factorMCP-1monocyte chemoattractant protein 1MDCmacrophage-derived chemokineMDSCsmyeloid derived suppressor cellsMFPmammary fat padMIP-1αmacrophage-inflammatory protein-1alphaMMP-2matrix metalloproteinase-2MRImagnetic resonance imagingNISsodium iodide symporterNTAnanoparticle tracking analysisPETpositron emission tomographyPF-4platelet factor 4RANTESregulated on activation, normal T cell expressed and secretedROIsregion of interestSDF-1αstromal cell-derived factor-1SEMstandard error of the meanSPECTsingle-photon emission computed tomographySCFstem cell factorTAMstumor-associated macrophagesTEMtransmission electron microscopyTIMP 2tissue inhibitors of metalloproteinases 2TLPCthin layer paper chromatographyTMEtumor microenvironmentTNF-αtumor necrosis factor-αTSLPthymic stromal lymphopoietinUCultracentrifugationVEGF-Avascular endothelial growth factor AVEGFR2vascular endothelial growth factor receptor 2.

PurposeRegulation of intraocular pressure is dependent upon homeostatic responses of trabecular meshwork (TM) cells to mechanical stretch. Despite the important roles of miRNAs in regulating TM function and aqueous outflow, it remains unclear how miRNA and their target genes interact in response to physiological cyclic mechanical stretch. We aimed to identify differentially expressed miRNAs and their potential targets in human TM cells in response to cyclic mechanical stress.MethodsMonolayers of TM cells from non-glaucomatous donors (n=3-6) were cultured in the presence or absence of 15% mechanical stretch, 1 cycle/s, for 6 or 24-hours using computer-controlled Flexcell Unit. We profiled the expression of 800 miRNAs using NanoString Human miRNA assays and identified differentially expressed miRNAs using the Bioconductor Limma package. We identified differentially expressed genes using Operon Human Oligo Arrays with GeneSpring software. Pathway analysis with WebGestalt identified stretch-related pathways. We used Integrative miRNA Target Finder from Ingenuity Pathway Analysis to identify potential miRNA-mRNA regulations.ResultsWe identified 540 unique genes and 74 miRNAs with differential expression in TM cells upon cyclic mechanical stretch. Pathway analysis indicated the significant enrichment of genes involved in Wnt-signaling, receptor protein serine/threonine kinase signaling, TGF-β pathway, and response to unfolded protein. We also identified several miRNA master regulators, including miR-19b-3p and miR-93-5p, which may act as switches to control several mechano-responsive genes.ConclusionsThis study suggests that cyclic mechanical stress of TM cells triggers alterations in the expression of both mRNAs and miRNAs implicated in glaucoma-associated pathways.