Project description:The results (significance versus foldchange) showed 183 up- and 195 downregulated miR in the oxygen-glucose deprivation-PBMCs compared to normoxic PBMCs
Project description:Peste des Petits Ruminants (PPR) is a highly infectious disease caused by a virus of the genus Morbillivirus (PPRV), infecting mainly sheep and goat. Susceptibility of host can vary widely with host breed and virus strain. The mechanisms underlying this variability are not well understood. Here, we carried out the first comparative in vitro study on goat peripheral blood mononuclear cells (PBMCs) infected with PPRV strains of different virulence, vaccine strain (N75/1), low- (IC89), and high-virulent strain (MA08). Goat PBMCs were infected by the different strains and stimulated with Concanavalin A (Con A), and proteome changes of these cells were evaluated during the infection. The level of PPRV replication was assessed first by RT-qPCR quantification of viral N mRNA and by labelling the viral N protein inside the cells with specific antibodies and analysed by flow cytometry. The dynamics of PBMC sub-populations were also evaluated by flow cytometry. Our results showed that viral replication is critical for PPRV inhibitory effect on PBMCs proliferation. Highly virulent MA08 strain reached a higher level of replication in ConA-stimulated PBMCs and induced higher mortality compared to other strains. Low-virulent IC89 strain showed the lower replication level and cell proliferative inhibitory capacities. Differences in immune genes expression levels were assessed using RNAseq analysis and protein expression was compared using mass spectrometry. Analysis of these data provided the transcriptional and proteome landscape of PBMCs infected with these strains. The possible association between the transcriptional and proteome landscape and changes in immune cell subpopulations dynamics was explored.
Project description:The knowledge of circRNAs in tuberculosis (TB) remains limited. Aim of the present study was to characterize the expression profiles and potential function of circRNAs in human peripheral blood mononuclear cells (PBMCs) from patients with active TB.
Project description:To search for new markers of active lesions that might help better understand the molecular basis of MN and IgAN and aid in their diagnosis, DNA microarray analysis was performed with peripheral blood mononuclear cells (PBMCs)
Project description:Background & Aims: MicroRNAs have been shown to offer great potential in the diagnosis of cancer. We aimed to identify microRNAs in peripheral blood mononuclear cells (PBMCs) for diagnosing pancreatic cancer (PC). Methods: PBMCs microRNA expression was investigated in three independent cohorts including 352 participants (healthy, benign pancreatic/peripancreatic diseases (BPD), and PC). First, we used sequencing technology to identify differentially expressed microRNAs in 60 PBMCs samples for diagnosing PC. Quantitative reverse-transcriptase polymerase chain reaction assay was then applied to evaluate the expression of selected microRNAs. A logistic regression model was constructed using an independent cohort. Area under the receiver operating characteristic curve (AUC) was used to evaluate diagnostic accuracy. Results: We found that PBMCs miR-27a-3p could efficiently discriminate PC from BPD (AUC=0.840; 95% CI, 0.787 to 0.885; sensitivity=82.2%, specificity=76.7%). A panel composed of PBMCs miR-27a-3p and serum CA19-9 provided a high diagnostic accuracy in differentiating PC from BPD in the clinical setting (AUC=0.886; 95% CI, 0.837 to 0.923; sensitivity=85.3%, specificity=81.6%). The satisfactory diagnostic performance of the panel persisted regardless of disease status (AUCs for tumour-node-metastasis stages?,?, and ? were 0.881, 0.884, and 0.893, respectively). Conclusion: PBMCs miR-27a-3p could be a potential marker for PC screening. A panel composed of PBMCs miR-27a-3p and serum CA19-9 has considerable clinical value in diagnosing early-stage PC. Therefore, patients who would have otherwise missed the curative treatment window can benefit from optimal therapy. Examination of different MicroRNA profiles in 3 types of PBMCs samples
Project description:Background & Aims: MicroRNAs have been shown to offer great potential in the diagnosis of cancer. We aimed to identify microRNAs in peripheral blood mononuclear cells (PBMCs) for diagnosing pancreatic cancer (PC). Methods: PBMCs microRNA expression was investigated in three independent cohorts including 352 participants (healthy, benign pancreatic/peripancreatic diseases (BPD), and PC). First, we used sequencing technology to identify differentially expressed microRNAs in 60 PBMCs samples for diagnosing PC. Quantitative reverse-transcriptase polymerase chain reaction assay was then applied to evaluate the expression of selected microRNAs. A logistic regression model was constructed using an independent cohort. Area under the receiver operating characteristic curve (AUC) was used to evaluate diagnostic accuracy. Results: We found that PBMCs miR-27a-3p could efficiently discriminate PC from BPD (AUC=0.840; 95% CI, 0.787 to 0.885; sensitivity=82.2%, specificity=76.7%). A panel composed of PBMCs miR-27a-3p and serum CA19-9 provided a high diagnostic accuracy in differentiating PC from BPD in the clinical setting (AUC=0.886; 95% CI, 0.837 to 0.923; sensitivity=85.3%, specificity=81.6%). The satisfactory diagnostic performance of the panel persisted regardless of disease status (AUCs for tumour-node-metastasis stagesⅠ,Ⅱ, and Ⅲ were 0.881, 0.884, and 0.893, respectively). Conclusion: PBMCs miR-27a-3p could be a potential marker for PC screening. A panel composed of PBMCs miR-27a-3p and serum CA19-9 has considerable clinical value in diagnosing early-stage PC. Therefore, patients who would have otherwise missed the curative treatment window can benefit from optimal therapy.
Project description:Genome-Scale draft model for Human Peripheral Blood Mononuclear Cells (PBMCs). A GEM for PBMCs was developed by applying the INIT
algorithm on Human Metabolic Reconstruction (HMR 2.0) as a template model. GEMs were contextualised/ constrained for different conditions using expression datasets. The gene/transcript expression data obtained from PBMCs of Type 1 Diabetes progressors, non-progressors, and healthy controls were employed to score each reaction of HMR 2.0. For further detail please refer to Electronic Supplementary Information of Sen et.al, Metabolic alterations in immune cells associate with progression to type 1 diabetes, Diabetologia, 15/01/2020, (https://doi.org/10.1007/s00125-020-05107-6).