Project description:Exsome microRNA stably present in various body fluids (such as amniotic fluid, breast milk, blood, bronchial lavage, malignant ascites fluid, tears, saliva, and urine) shown to be associated with various pathological conditions. We report the microRNA expression profiles in porcine serum, plasma, semen, urine and bile exsome at postnatal 180-days-old by a deep sequencing technology.
Project description:Sera were collected from 6 healthy subjects, and the expression profiles of microRNAs in serum extracellular vesicles were investigated by 3D-gene microarray. The expression profile was used to investigate the correlation between immune responses to vaccines and microRNA expression levels.
Project description:<p>There are currently few datasets describing baseline expression levels for total cell-free circulating RNA from healthy control subjects. Total extracellular RNA was isolated from plasma, urine, and saliva samples from healthy controls. We sequenced small RNAs from 183 plasma samples, 204 urine samples and 46 saliva samples from 55 college athletes ages 18-25 years. Many of the participants provided more than one sample, weeks or months apart, allowing us to assess variability in an individual's exRNA expression levels over time. Several individuals provided all three biofluid types at one time, producing data on individual expression levels across several biofluid types. Here we provide a systematic analysis of small exRNAs present in each biofluid, as well as an analysis of exogenous RNAs. We find that a large number of RNA fragments in plasma (63%) and urine (54%) have sequences that are assigned to YRNA and tRNA fragments respectively. Surprisingly, while many miRNAs can be detected, there are few miRNAs that are consistently detected in all samples from a single biofluid.</p>
Project description:Interest in circulating RNAs for monitoring and diagnosing human health has grown significantly. There are few datasets describing baseline expression levels for total cell-free circulating RNA from healthy control subjects. In this study, total extracellular RNA (exRNA) was isolated and sequenced from 183 plasma samples, 204 urine samples and 46 saliva samples from 55 male college athletes ages 18-25 years. Many participants provided more than one sample, allowing us to investigate variability in an individual's exRNA expression levels over time. Here we provide a systematic analysis of small exRNAs present in each biofluid, as well as an analysis of exogenous RNAs. The small RNA profile of each biofluid is distinct. We find that a large number of RNA fragments in plasma (63%) and urine (54%) have sequences that are assigned to YRNA and tRNA fragments respectively. Surprisingly, while many miRNAs can be detected, there are few miRNAs that are consistently detected in all samples from a single biofluid, and profiles of miRNA are different for each biofluid. Not unexpectedly, saliva samples have high levels of exogenous sequence that can be traced to bacteria. These data significantly contribute to the current number of sequenced exRNA samples from normal healthy individuals.
Project description:Cholangiocarcinoma (CCA) represents a heterogeneous group of biliary cancers with poor prognosis. Although the aetiology is generally unknown, factors like Primary Sclerosing Cholangitis (PSC) predispose to its development. Simultaneously, around 80% of patients with PSC have concomitant Ulcerative Colitis (UC). As there are no specific and sensitive biomarkers for the non-invasive diagnosis of CCA, we aimed to analyse the RNA content of serum and urine extracellular vesicles (EVs) to find accurate biomarkers of CCA that could be reflecting tumor behaviour. The transcriptomic analysis of these EVs showed a differential profile of RNAs in patients with CCA compared to healthy individuals or patients with other diseases (PSC and UC), presenting some RNAs high diagnostic values to distinguish patients with CCA. Moreover, the differential abundance of several RNAs in serum and/or urine EVs correlated with the deregulated expression of those transcripts in CCA tissue compared to surrounding liver (TCGA and Copenhagen cohorts), in tumor (EGI1, TFK1) and normal cholangiocyte (NHC) cell lines as well as in EVs secreted by those cell lines; pinpointing the potential involvement of those RNAs not only as liquid biopsy biomarkers but also as potential mediators of CCA pathogenesis.
Project description:Inactivity and unloading. induce skeletal muscle atrophy, loss of strength and detrimental metabolic effects. We used mass spectrometry-based proteomics to measure the abundance changes of proteins circulating in the blood plasma of young healthy subject undergoing ten days of continuous bed rest. Several plasma components, such as the complement cascade and lipid carriers, and proteins derived from the extracellular matrix and tissue leakage, such as lumican and teneurin-4, changed their abundance at different loading states of the body. Searching for potential plasma biomarkers relaying changes in muscle trophism, we identify common proteomic signatures distinguishing the majority of subjects undergoing extensive unloading-mediated muscle atrophy from those largely maintaining their initial muscle mass at the end of bed rest. Some of these plasma proteins also have different abundance in the serum proteome of cancer patients developing cachexia compared to that of healthy controls. Our findings highlight a combination or proteomic changes that can be explored as potential biomarkers of muscle atrophy occurring under different conditions.
Project description:Despite a significant progress in the treatment of Acute Respiratory Distress Syndrome (ARDS), our ability to identify early patients and predict outcome remains limited. In this study, we aimed to characterize small RNA content of plasma exosomes from ARDS patients in order to identify potential diagnostic biomarkers of the disease. For the first time, we profiled miRNA expression levels in plasma-derived exosomes from ARDS patients (n=8) compared to healthy subjects (n=10) by small RNA-seq. It allowed us to identify 12 exosomal miRNAs differentially expressed in ARDS context (padj<0.05).