Project description:Extracellular vesicles (Evs) from proliferating myogenic progenitor cells (MPCs) were isolated and RNA was profiled via miRNA microarray
Project description:Extracellular Vesicles (EV) are an attractive therapy to boost cardiac regeneration. Nevertheless, identification of EV and corresponding cell platform(s) suitable for therapeutic application, is still a challenge. Here, we isolated EV from key stages of the human induced pluripotent stem cell-cardiomyocyte (hiPSC-CM) differentiation and maturation, i.e., from hiPSC (hiPSC-EV), cardiac progenitors (CPC-EV), immature (CMi-EV) and mature (CMm-EV) cardiomyocytes, with the aim of identifying a promising cell biofactory for EV production, and pinpoint the genetic signatures of bioactive EV. EV were characterized in terms of expression of specific markers, yield, and size. Bioactivity was assessed in human umbilical vein endothelial cells (HUVEC) and hiPSC-CM. Small RNA-Seq was performed to identify the differentially expressed miRNA in the four EV groups. Bioactivity assays showed increased tube formation and migration in HUVEC treated with hiPSC-EV compared to EV from committed cell populations. hiPSC-EV also significantly increased hiPSC-CM proliferation. Global miRNA expression profiles corroborated an EV-miRNA pattern indicative of stem cell to cardiomyocyte specification. A stemness maintenance miRNA cluster upregulated in hiPSC-EV was found to target the PTEN/PI3K/AKT pathway. Moreover, hiPSC-EV treatment mediated PTEN suppression and increased AKT phosphorylation. Overall, our findings validate hiPSC as suitable cell biofactories for EV production for cardiac regenerative applications.
Project description:To developed the mothod for obtaining miRNA information in cells non-destructively, we aimed to produce EVs encapsulating miRNA-binding protein fragments that actively incorporate miRNAs into EVs. We then performed gene expression profiling analysis using data obtained from RNA-seq of control cells and cells co-expressing EV-inducing protein and miRNA binding protein.
Project description:To investigate the impact of a pro-inflammatory stimulus (TNFα and IFNγ, 20 ng/ml) on miRNA in SCAP-EV, we isolated EV from non-activated and activated SCAP and then extracted miRNA
Project description:A comparison of gene expression between control versus IPF human lung MPC using human Affy 1.0st chips. This work was funded by grants to S.M. Majka from the NIH R01HL091105 and NIH R01HL11659701. Additional funding was also provided by PPG-5P01HL108800-04 (PI:J. Loyd). Experiments were performed using the University of Colorado Cancer Center Microarray core (NCI P30 CA 46934-14). The project was supported in part by the National Center for Research Resources, Grant UL1 RR024975-01, and is now at the National Center for Advancing Translational Sciences, Grant 2 UL1 TR000445-06.
Project description:Mastitis, the inflammation of the mammary gland, is one of the most prevalent diseases in dairy farming worldwide. Unfortunately, the disease is most often present in a subclinical type with no clear symptoms. The sooner the infection is detected, the less opportunities for the disease to progress and the more treatment options remain available. Milk microRNA (miRNA) encapsulated in extracellular vesicles (EV) have been proposed as potential biomarkers of different mammary gland conditions, including subclinical mastitis. However, little is known about the robustness of EV analysis regarding sampling time-point or natural infections. In order to estimate the reliability of EV measurements in raw bovine milk, we first evaluated the changes in EV size, concentration and miRNA cargo during three consecutive days. Then, we compared milk EV differences from natural infected quarters with high somatic cell count (SCC) with their healthy adjacent quarters with low SCC and quarters from uninfected udders. We found that milk EV miRNA cargo is very stable along three days and that infected quarters do not induce relevant changes in milk EV of adjacent healthy quarters, making them suitable controls. We observed cow-individual changes in immunoregulatory miRNA in quarters with chronic subclinical mastitis, pointing towards infection-specific alterations. Finally, we proposed bta-miR-223 as a potential indicator of subclinical mastitis prognosis in raw milk.
Project description:COPD is a heterogeneous condition without effective disease modifying therapies. Identification of novel inflammatory endotype markers such as extracellular vesicles (EVs), which are important intercellular messengers carrying microRNA (miRNA), may enable earlier diagnosis and disease stratification for a targeted treatment approach. Our aim was to identify differentially expressed EV miRNA in the lungs of COPD patients compared with healthy ex-smokers and determine whether they can help define inflammatory COPD endotypes. EV miRNA were isolated and sequenced from ex-smoking COPD patients and healthy ex-smoker bronchoalveolar lavage fluid. Results were validated with RT-qPCR and compared to differential inflammatory cell counts. Differential expression analysis identified five upregulated miRNA in COPD (miR-223-3p, miR-2110, miR-182-5p, miR-200b-5p and miR-625-3p) and three downregulated miRNA (miR-138-5p, miR-338-3p and miR-204-5p), all with a log2 fold change of >1/-1, FDR<0.05. These miRNAs correlated with disease defining characteristics such as FEF 25-75% (a small airways disease measure) and DLCO % (a surrogate measure of emphysema). Receiver operator curve analysis demonstrated miR-2110, miR-223-3p and miR-182-5p showed excellent combinatory predictive ability (AUC 0.91, p<0.0001) in differentiating between health and mild COPD. Furthermore, miR-223-3p and miR-338-3p correlated with airway eosinophilia and were able to distinguish “pure eosinophilic” COPD from other airway inflammatory subtypes (AUC 0.94 and 0.85 respectively). This is the first study to identify differentially expressed miRNA in COPD bronchoalveolar lavage fluid EVs. These findings suggest specific lung derived EV miRNA are a strong predictor of disease presence even in mild COPD. Furthermore, specific miRNA correlated with inflammatory cell numbers in COPD, and may have a role in defining inflammatory endotypes for future treatment stratification.