Platelet miRNA expression from patients of PDAC and healthy donors
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ABSTRACT:
PROVIDER: PRJNA838609 | ENA |
REPOSITORIES: ENA
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Project description:To identify the miRNA expressing profiles of Platelet microparticles（PMPs, we have employed the Agilent Human miRNA 8×60K (Design ID:046064) microarray. Platelet microparticles. The platelets were derived from citrated blood of healthy human donors under an Institutional Review Board-approved protocol. Platelets were isolated after centrifugation of blood (1200r for 30 min at 21℃), then the supernatant (platelet-rich plasma) was centrifuged at 2000r for 30 min at 21℃, and the pellet containing platelets was resuspended in RPMI-1640 medium (HyClone, Logan, UT). Platelets were counted (Clinical Laboratory, Shanghai First Maternity and Infant Hospital, Shanghai) and adjusted to a density of 150 × 106 cells/mL before supplement with 1.5% ACD(sigma ) and stimulated with thrombin (1.0 u/mL; Takeda Austria) for 1 h. PMPs were in the supernatant after centrifugation at 4000r for 10 min at 4℃,then the supernatants were centrifuged at 50,000 × g for 60 min at 4 °C. The pellets containing MPs were resuspended in RPMI-1640 medium and quantified by BCA method.
2016-01-14 | GSE76789 | GEO
Project description:To identify the miRNA expressing profiles of Platelet microparticlesï¼PMPs, we have employed the Agilent Human miRNA 8Ã60K (Design ID:046064) microarray. Platelet microparticles. The platelets were derived from citrated blood of healthy human donors under an Institutional Review Board-approved protocol. Platelets were isolated after centrifugation of blood (1200r for 30 min at 21â), then the supernatant (platelet-rich plasma) was centrifuged at 2000r for 30 min at 21â, and the pellet containing platelets was resuspended in RPMI-1640 medium (HyClone, Logan, UT). Platelets were counted (Clinical Laboratory, Shanghai First Maternity and Infant Hospital, Shanghai) and adjusted to a density of 150 à 106 cells/mL before supplement with 1.5% ACD(sigma ) and stimulated with thrombin (1.0 u/mL; Takeda Austria) for 1 h. PMPs were in the supernatant after centrifugation at 4000r for 10 min at 4â,then the supernatants were centrifuged at 50,000 à g for 60 min at 4 °C. The pellets containing MPs were resuspended in RPMI-1640 medium and quantified by BCA method. The gene expressions of three independent paired PMPs from platelets stimulated by thrombin or apoptosis.
2016-01-14 | E-GEOD-76789 | biostudies-arrayexpress
Project description:MicroRNAs (miRNAs) regulate cell physiology by altering protein expression, but the biology of platelet miRNAs is largely unexplored. We tested whether platelet miRNA levels were associated with platelet reactivity by genome-wide profiling using platelet RNA from 19 healthy subjects. We found that human platelets express 284 miRNAs. Unsupervised hierarchical clustering of miRNA profiles resulted in 2 groups of subjects that appeared to cluster by platelet aggregation phenotypes. Seventy-four miRNAs were differentially expressed (DE) between subjects grouped according to platelet aggregation to epinephrine, a subset of which predicted the platelet reactivity response. Using whole genome mRNA expression data on these same subjects, we computationally generated a high-priority list of miRNA-mRNA pairs in which the DE platelet miRNAs had binding sites in 3'UTRs of DE mRNAs, and the levels were negatively correlated. Three miRNA-mRNA pairs (miR-200b:PRKAR2B, miR-495:KLHL5 and miR-107:CLOCK) were selected from this list and all 3 miRNAs knocked down protein expression from the target mRNA. Reduced activation from platelets lacking PRKAR2B supported these findings. In summary, (1) platelet miRNAs are able to repress expression of platelet proteins, (2) miRNA profiles are associated with and may predict platelet reactivity, and (3) bioinformatic approaches can successfully identify functional miRNAs in platelets. Total RNA from the platelets of 19 donors was harvested and labeled with Hy3. Reference RNA (a pool of all samples) was labeled with Hy5. This submission represents the miRNA expression component of the study.
2011-09-26 | E-GEOD-27917 | biostudies-arrayexpress
Project description:To analysis of potential functional components in PMPs to miRNAs, we have employed miRNA microarray expression profiling as a discovery platform to identified the miRNA content of PMPs.Human cord blood from healthy donors was used to isolated platelets and platelet-derived microparticles (PMPs) were isolated from activated platelets. First, for platelet isolation and purification, human platelets were isolated from the supernatant of umbilical cord blood after Ficoll-Hypaque density gradient centrifugation and pelleted by centrifugation at 2,000 × g for 20 min at RT. Second, the platelets were resuspended in saline (pH=7.4) containing 1 mM calcium and 1 U per mL thrombin for 15 min at 37°C. The PMPs were released into the supernatant. Contaminating remnant platelets were removed by centrifugation at 2,000 × g for 20 min at 4°C and filtered through a 0.8 μm filter unit (Millipore, America). Then, the supernatants containing PMPs were centrifuged at 20,000 × g for 120 min at 4°C.182 miRNAs were detected in the isolated human PMPs from five independent donors, although individual differences in miRNA expression were also observed. Thereafter, these miRNAs were ranked by expression level, and those expressed above the median level from each unique subject were considered to be abundantly expressed miRNAs. The intersection of abundantly expressed miRNAs in PMPs from each donor yielded 48 commonly expressed miRNAs in PMPs. Among these 48 miRNAs, miR-4454 ranked number 1, and its level was consistent in all samples examined.
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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.
2015-06-22 | E-GEOD-59421 | biostudies-arrayexpress
Project description:MicroRNAs (miRNAs) regulate cell physiology by altering protein expression, but the biology of platelet miRNAs is largely unexplored. We tested whether platelet miRNA levels were associated with platelet reactivity by genome-wide profiling using platelet RNA from 19 healthy subjects. We found that human platelets express 284 miRNAs. Unsupervised hierarchical clustering of miRNA profiles resulted in 2 groups of subjects that appeared to cluster by platelet aggregation phenotypes. Seventy-four miRNAs were differentially expressed (DE) between subjects grouped according to platelet aggregation to epinephrine, a subset of which predicted the platelet reactivity response. Using whole genome mRNA expression data on these same subjects, we computationally generated a high-priority list of miRNA-mRNA pairs in which the DE platelet miRNAs had binding sites in 3'UTRs of DE mRNAs, and the levels were negatively correlated. Three miRNA-mRNA pairs (miR-200b:PRKAR2B, miR-495:KLHL5 and miR-107:CLOCK) were selected from this list and all 3 miRNAs knocked down protein expression from the target mRNA. Reduced activation from platelets lacking PRKAR2B supported these findings. In summary, (1) platelet miRNAs are able to repress expression of platelet proteins, (2) miRNA profiles are associated with and may predict platelet reactivity, and (3) bioinformatic approaches can successfully identify functional miRNAs in platelets.
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