The Extracellular RNA Quality Control (exRNAQC) study: RNA Exome sequencing of RNA purification kit study (exRNAQC004)
Ontology highlight
ABSTRACT: To evaluate the impact of the RNA purification method on extracellular RNA (exRNA) sequencing, 8 different RNA purification kits were compared by applying RNA Exome sequencing (Illumina) to exRNA from human healthy donor plasma. Minimum and maximum plasma input volumes recommended by the manufacturers were tested in triplicate.
Project description:To evaluate the impact of the RNA purification method on extracellular RNA (exRNA) sequencing, 8 different RNA purification kits were compared by applying Small RNA sequencing (Illumina) to exRNA from human healthy donor plasma. Minimum and maximum plasma input volumes recommended by the manufacturers were tested in triplicate. Due to donor privacy concerns the raw data for this study have been submitted to the controlled-access archive EGA under the accession EGAS00001005263.
Project description:Study to detect possible interactions between blood collection tubes and RNA purification methods on extracellular RNA (exRNA) sequencing. Different combinations of blood collection tubes (3 in total), time intervals between blood draw and downstream processing (immediate (T0), after 4 hours (T4), after 16 hours (T16)), and RNA purification kits (2 in total) were evaluated by applying Small RNA sequencing (Illumina) to exRNA from human healthy donor plasma or serum.
Project description:Study to detect possible interactions between blood collection tubes and RNA purification methods on extracellular RNA (exRNA) sequencing. Different combinations of blood collection tubes (3 in total), time intervals between blood draw and downstream processing (immediate (T0), after 4 hours (T4), after 16 hours (T16)), and RNA purification kits (2 in total) were evaluated by applying mRNA capture sequencing (Illumina) to exRNA from human healthy donor plasma or serum.
Project description:To evaluate the impact of blood collection tubes on extracellular RNA (exRNA) sequencing, 10 different blood collection tubes were compared by applying RNA Exome sequencing (Illumina) to exRNA from human healthy donor plasma or serum. Three time spans between blood draw and downstream processing were evaluated for each of the tubes. Preservation tubes were processed immediately upon blood collection (T0), after 24 hours (T24), or after 72 hours (T72). Non-preservation plasma and serum tubes were processed immediately upon blood collection (T0), after 4 hours (T4), or after 16 hours (T16). Due to donor privacy concerns the raw data for this study have been submitted to the controlled-access archive EGA under the accession EGAS00001005263.
Project description:To evaluate the impact of blood collection tubes on extracellular RNA (exRNA) sequencing, 10 different blood collection tubes were compared by applying Small RNA sequencing (Illumina) to exRNA from human healthy donor plasma or serum. Three time spans between blood draw and downstream processing were evaluated for each of the tubes. Preservation tubes were processed immediately upon blood collection (T0), after 24 hours (T24), or after 72 hours (T72). Non-preservation plasma and serum tubes were processed immediately upon blood collection (T0), after 4 hours (T4), or after 16 hours (T16). Due to donor privacy concerns the raw data for this study have been submitted to the controlled-access archive EGA under the accession EGAS00001005263.
Project description:Coronary artery disease (CAD) is the leading cause of human morbidity and mortality worldwide, underscoring the need to improve diagnostic strategies. Platelets play a major role, not only in the process of acute thrombosis during plaque rupture, but also in the formation of atherosclerosis itself. MicroRNAs are endogenous small non-coding RNAs that control gene expression and are expressed in a tissue and disease-specific manner. Therefore they have been proposed to be useful biomarkers. The aim of this study was to investigate whether differences in miRNA expression levels in platelets can be found (i) between patients with premature CAD and healthy controls and (ii) within healthy controls after and before aspirin and statin administration. In this case-control study we measured expression levels of platelet miRNAs using microarrays from 40 male patients with premature CAD and 40 age- and sex-matched healthy controls. Premature CAD was defined as a cardiac event before the age of 51 years. The patients were selected from the outpatient clinic of the Academic Medical Center (AMC) of Amsterdam, which is specialised in premature CAD. The control cohort was composed of 40 healthy Caucasian male volunteers, who were recruited by advertisement and who were matched with the cases for age and smoking habits. Individuals of this control cohort did not have a history of CVD, nor did they have a positive family history of CVD and they were not allowed to use any medication. Patients and controls were excluded when they suffered from diabetes. Most CAD patients use aspirin and statins as secondary prevention. The influence of these drugs on miRNA profiles is unknown. To assess the possible influence of medication on miRNA expression and to control for medication as confounding factor, we asked 27 volunteers in our control cohort to also use these drugs. We administered simvastatin 40 mg, once daily, for 6 weeks and during the last two weeks we added 100mg of acetyl salicylic acid, once daily. Blood samples including isolated platelets were collected at baseline in the absence of aspirin and statins and after six weeks of medication use. We also assessed platelet function using the Multiplate® Analyzer (Roche) in the absence of aspirin and statin use. In short, 300 µl whole blood was diluted with 300 µl 0.9% saline and stirred for 3 minutes at 37 ºC. Adenosine diphosphate (ADP) was added in a final concentration of 2.5 ?mol/L to initiate platelet aggregation. Aggregation was measured for 6 minutes and was reported in arbitrary aggregation units plotted against time. Also, the area under the aggregation curve (AUC) was measured. All samples were measured in the absence and presence of 200 ?mol/L indomethacin (20 min incubation with blood) to mimic the effect of aspirin use. We calculated the percentage reduction in AUC after incubation with indomethacin as an in vitro measure of the effect of aspirin use on whole blood platelet aggregation.
Project description:In this study, we introduce for the first time a growth chamber system suitable for physical plasma treatment of bacteria in liquid medium. Bacillus subtilis 168 cells were treated with argon plasma in order to investigate their specific stress response usong a proteomic and transcriptomic approach. The treatment with three different discharge voltages revealed not only growth differences, but also clear cellular stress responses. B. subtilis faces severe cell wall stress, which was made visible alsoelectron microscopy, DNA damages and oxidative stress. The biological findings could be supported by the reactive plasma species, found by plasma diagnostics, i.e. optical emission spectroscopy (OES) and Fourier transformed infrared spectroscopy (FTIR). Cells were grown in LB medium. At OD540 of 0.5, argon plasma treatment was set for 15 min with a discharge power of 5 W. Samples for mircroarray analysis were taken 5 min after the 15 min plasma treatment. Microarray hybridizations were performed with RNA from three biological replicates. The individual samples were labeled with Cy5; a reference pool containing equal amounts of RNA from all samples was labeled with Cy3.
Project description:MicroRNAs (miRNAs) could play an important role as potential Alzheimer Disease (AD) biomarkers. Plasma samples were collected from participants: Mild cognitive impairment (MCI) due to AD patients (n= 20), preclinical AD patients (n= 8) and healthy controls (n= 20). Then, small RNA sequencing analysis, followed by miRNA differential expression analysis comparing different methods (DESeq2, edgeR, NOISeq) were carried out.
Project description:Osteoporosis is the consequence of altered bone metabolism resulting in the systemic reduction of bone strength and increased risk of fragility fractures. MicroRNAs (miRNAs) regulate gene expression on a post-transcriptional level are known to take part in the control of bone formation and bone resorption. Recently, targeted secretion of miRNAs from cells originating from various tissues has been described, which allows for their minimal-invasive detection in serum/plasma and use as biomarkers for presence and progression of pathological conditions. One pilot study has reported circulating miRNAs in serum and tissue of fracture patients. However, further studies are required to explore whether a dysbalance in bone homeostasis of fracture patients can reliably be reflected by specific circulating miRNAs, and whether these miRNAs might serve as drugable targets. Here, we report results from a comprehensive multiplex study of 175 miRNAs in serum samples obtained from 7 patients with osteoporotic fractures at the femoral neck, and 7 age-matched controls. Following elaborate quality control statistical analysis of this exploratory dataset identified 9 microRNAs with altered serum levels in response to fracture (adjusted p-value < 0.1). Of these, hsa-miR-10a/b gave excellent discrimination of both groups (AUC = 1.0), and clustering of samples based on the top10 miRNAs confirmed the high discriminatory power of circulating microRNAs for osteoporotic fractures. In the next step 3 miRNAs with unknown roles in osteogenic differentiation and 4 miRNA from a previous study were tested for their effects on osteogenic differentiation. Of these, 3 miRNAs showed robust effects on osteogenic differentiation. Overall, these data provide important insights into changes in serum miRNA in post-traumatic patients. Future studies will show, whether this knowledge can be used to improve current diagnostic methodologies to predict fracture risk and design novel treatment strategies for osteoporosis patients. Two groups with n=7 per group; one groups represents cases with osteoporotic fractures, the control group is age-matched without fractures