Project description:In this study, we assess technical differences between commonly used single-cell RNA-Sequencing (scRNA-Seq) methods. We perform scRNA-seq on a homogenous population of mouse embryonic stem cells along with two kinds of control spike-in molecules to assess sensitivity and accuracy of these specific methods. In this dataset, we perform SMARTer method on Fluidigm C1 system and generate single-cell libraries using Nextera XT kit
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.