Similar Datasets
Project description:Transcriptome profiling has emerged as a powerful tool to investigate the biomarker potential of human biofluids. However, despite an enormous interest in extracellular nucleic acids, total RNA sequencing methods to quantify RNA content outside cells are rare. Here, we evaluate the performance of the SMARTer Stranded Total RNA-Seq method in human platelet-rich plasma, platelet-poor plasma, urine, conditioned medium, and extracellular vesicles from these biofluids.
2019-09-01 | GSE131689 | GEO
Project description:Purpose: The goal of this study is to investigate the expression of microRNAs in TBI biofluids compared to uninjured controls Methods: miRNA-Seq analysis of microRNA expression TBI and uninjured control biofluids
2020-03-09 | GSE131695 | GEO
Project description:Poor reproducibility within and across studies arising from lack of knowledge regarding the performance of extracellular RNA (exRNA) isolation methods has hindered progress in the exRNA field. A systematic comparison of 10 exRNA isolation methods across 5 biofluids revealed marked differences in the complexity and reproducibility of the resulting small RNA-seq profiles. The relative efficiency with which each method accessed different exRNA carrier subclasses was determined by estimating the proportions of extracellular vesicle (EV)-, ribonucleoprotein (RNP)-, and high-density lipoprotein (HDL)-specific miRNA signatures in each profile. An interactive web-based application (miRDaR) was developed to help investigators select the optimal exRNA isolation method for their studies. miRDar provides comparative statistics for all expressed miRNAs or a selected subset of miRNAs in the desired biofluid for each exRNA isolation method and returns a ranked list of exRNA isolation methods prioritized by complexity, expression level, and reproducibility. These results will improve reproducibility and stimulate further progress in exRNA biomarker development.
| S-EPMC6557167 | biostudies-literature
Project description:One goal of Phase 1 of our project is to produce reference profiles of miRNAs and other small RNAs in a large and diverse set of biofluids using a systemic approach. This study contains samples associated with 10 different biofluids, and all data (sequencing data, full alignments, etc.) is openly available.
2018-03-27 | GSE112343 | GEO
Project description:Background & aims: MicroRNAs (miRNAs) encapsulated in EVs are potential diagnostic and prognostic biomarkers. However, discrepancies on miRNA patterns and their validation are still frequent due to differences in sample origin, EVs isolation, miRNA extraction and sequencing methods. Selecting appropriate EVs isolation methods is therefore a critical step for miRNA-based biomarker discovery. The aim of the present study is to find the most suitable EVs isolation method for miRNAs sequencing adequate for clinical application. Material & Methods EVs were isolated by Size Exclusion Chromatography (SEC), iodixanol gradients (GRAD) and the combination of both (SEC+GRAD), using the same plasma sample, in triplicate isolation assays. Isolated EVs were characterized and RNA was extracted. Three different protocols for miRNA library preparation were compared (NEBNext, NEXTFlex and SMARTer smRNA-seq) and miRNAs encapsulated on EVs were sequenced using NextSeq 500 system (Illumina). Finally, the yield, abundance and diversity of miRNAs using the three different EVs isolation protocols were analyzed and compared between them. Results The majority of lipoproteins, total cholesterol and plasma proteins were removed from the EVs-containing fractions by using SEC, GRAD, and SEC+GRAD. SEC method recovered a larger amount of EVs followed by GRAD and SEC+GRAD, while GRAD and SEC+GRAD yielded the purest vesicles. NEBNext was the library preparation kit that showed the highest reproducibility among replicas, higher number of reads corresponding to miRNAs and more different miRNAs, followed by NEXTFlex and SMARTer smRNA-seq. GRAD method showed the highest reproducibility among replicas, a higher number of reads corresponding to miRNAs and more different miRNAs, followed by SEC and SEC+GRAD methods. Conclusions These results render the GRAD method to isolate EVs as one of the most appropriate to detect miRNAs from Evs.
2023-04-26 | GSE223838 | GEO
Project description:RNA profiling has emerged as a powerful tool to investigate the biomarker potential of human biofluids. However, despite enormous interest in extracellular nucleic acids, RNA sequencing methods to quantify the total RNA content outside cells are rare. Here, we evaluate the performance of the SMARTer Stranded Total RNA-Seq method in human platelet-rich plasma, platelet-free plasma, urine, conditioned medium, and extracellular vesicles (EVs) from these biofluids. We found the method to be accurate, precise, compatible with low-input volumes and able to quantify a few thousand genes. We picked up distinct classes of RNA molecules, including mRNA, lncRNA, circRNA, miscRNA and pseudogenes. Notably, the read distribution and gene content drastically differ among biofluids. In conclusion, we are the first to show that the SMARTer method can be used for unbiased unraveling of the complete transcriptome of a wide range of biofluids and their extracellular vesicles.
| EGAS00001004428 | EGA
Project description:Urinary extracellular vesicles (uEVs) are a promising source for biomarker discovery, including miRNAs. The optimal isolation method of uEVs for miRNA profiling in patients with proteinuria is unknown. Six different methods were compared for the isolation of microvesicles and these were compared to raw urine (method A). 2 methods failed and further analysis was performed with the following methods: ExoRNeasy (method C), modified protocol for ExoRNeasy (method E) and ultracentrifugation (method F). Different miRNAs are enriched by method C and F. No differences were observed between method C and E.
2020-08-01 | GSE102627 | GEO
Project description:Large differences in small RNA composition between human biofluids - 10 biofluids
| PRJNA445720 | ENA
Project description:Based on the different chemistries of phenol extraction of RNA versus commercial kits, we hypothesized that certain species of mRNA may be preferentially extracted depending upon method, which could masquerade as differential expression in downstream RNA-seq experiments. We tested this using Saccharomyces cerevisiae samples that only differ in the RNA isolation method: a "standard" hot phenol extraction, versus two different commercial RNA isolation kits. While the kits had comparable relative mRNA abundances, samples isolated with hot phenol had higher relative abundance of mRNAs encoding membrane proteins. We hypothesize that hot phenol better solubilizes mRNAs associated with cellular membranes. We then compared the effects of each RNA isolation method on the ability to identify differentially expressed transcripts, using the yeast heat shock response a test case. The method of RNA isolation had little effect on the ability to identify differentially expressed transcripts. Thus, experiments within a single lab are unlikely to be affected by the choice of RNA isolation method as long as the same method is used throughout an experiment. For meta-analyses however, researchers should be cautious if trying to compare experiments where the RNA isolation methods differ.
2019-08-07 | GSE135430 | GEO
Project description:Blood handling and leukocyte isolation methods impact the global transcriptome of immune cells
| PRJNA445186 | ENA