Project description:The potential for extracellular RNA as a potential biomarker for human health and disease is well-established. This study explores how extracellular RNAs vary among healthy individuals and across different sample treatments.
Project description:An integrative analysis of human biofluid data in the exRNA Atlas revealed the existence of distinct extracellular RNA cargo types. To gain further insight on the biological nature of these cargo types, we correlated exRNA Atlas cargo profiles with a variety of other RNA-seq profiles. This study focuses on lipoprotein particle (LPP) exRNA profiles obtained via sequential density ultracentrifugation (SD-UC) and fast protein liquid chromatography (FPLC).
Project description:Circulating extracellular RNAs (exRNAs) have the potential to serve as biomarkers for a wide range of medical conditions. However, limitations in existing exRNA isolation methods and a lack of knowledge on parameters affecting exRNA variability in human samples may hinder their successful discovery and clinical implementation. Using novel combinations of denaturants, reducing agents, proteolysis and revised organic extraction, we developed an automated, high-throughput approach for recovery of exRNAs and extracellular DNA (exDNA) from the same biofluid sample. We applied the method to characterize exRNAs from 312 plasma and serum samples collected from thirteen healthy volunteers at twelve time points over a two-month period.
Project description:An integrative analysis of human biofluid data in the exRNA Atlas revealed the existence of distinct extracellular RNA cargo types. To determine whether different RNA isolation kits biased detection of certain exRNA cargo types, an integrative analysis was performed using pooled plasma and serum samples, where 10 different RNA isolation kits were applied.
Project description:Previously, we published a dataset of human blood plasma and serum samples of 10 healthy males and 10 healthy females, fractionated on a set of sorbents (cation exchange Toyopearl CM-650M, CM Bio-Gel A, SP Sephadex C-25 and anion exchange QAE Sephadex A-25) and analyzed by LC-MS/MS individually and pooled in equal amounts (Supplementary Table S1, Sheet 1) [33]. The mass spectrometry peptidomics data was deposited to the ProteomeXchange Consortium via the PRIDE partner repository (dataset identifiers PXD008141 and 10.6019/PXD008141). Direct download link: http://www.ebi.ac.uk/pride/archive/projects/PXD008141. We analyzed this dataset again within this work. The detailed information about the dataset of blood plasma/serum samples of 20 healthy donors fractionated on a set of sorbents is available in the original paper [33], including the clinical parameters of the donors, sample collection, plasma/serum fractionation, peptide extraction and LC-MS/MS analysis. 33. Arapidi, G. et al. Peptidomics dataset: Blood plasma and serum samples of healthy donors fractionated on a set of chromatography sorbents. Data Brief 18, 1204–1211 (2018).
Project description:An integrative analysis of human biofluid data in the exRNA Atlas revealed the existence of distinct extracellular RNA cargo types. In order to detect differences in density between cargo types, cushioned density gradient ultracentrifugation (C-DGUC) of serum and plasma was performed using OptiPrem (TM) density gradient.
Project description:microRNA profiles of Exosomes from Pooled NPC Patients serum comparing Control Exosomes from Healthy donors serum Two-condition experiment, Exosomes from Pooled Healthy donors serum vs. Exosomes from Pooled NPC Patients serum. Biological replicates: 1 Exosomes from Pooled Healthy donors serum, 1 Exosomes from Pooled NPC Patients serum,