Deep characterization of blood cell miRNomes by NGS.

摘要: A systematic understanding of different factors influencing cell type specific microRNA profiles is essential for state-of-the art biomarker research. We carried out a comprehensive analysis the biological variability and changes in pattern over time types isolation approaches technical replicates. All combinations parameters mentioned above have been measured, resulting 108 miRNA that were evaluated by next-generation-sequencing. The largest was due to inter-individual differences (34 %), followed (23.4 %) technique (17.2 %). change composition moderate (<3 %) being close variations (<1 %). Largest (including variance) observed CD8 cells while CD3 CD4 showed significantly lower variations. ANOVA highlighted 51.5 % all miRNAs influenced purification technique. While least affected, especially fluctuating depending on approach. To provide researchers access allow further analyses tested conditions we implemented dynamic web resource.