1. Deep characterization of blood cell miRNomes by NGS
- Author
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Benjamin Meder, Christina Backes, Nicole Ludwig, Petra Leidinger, Arne Knörck, Hermann Eichler, Sabine Müller, Andreas Keller, Thomas Grossmann, Jan Haas, Eva C. Schwarz, Eckart Meese, Isabelle Müller, Martin Hart, Tobias Fehlmann, Andre Franke, Gertrud Schwär, Valentina Galata, Markus Hoth, and Cora Hoxha
- Subjects
0301 basic medicine ,Cell type ,Cell ,Biology ,Blood cell ,03 medical and health sciences ,Cellular and Molecular Neuroscience ,microRNA ,medicine ,Cluster Analysis ,Humans ,Molecular Biology ,Pharmacology ,Genetics ,Principal Component Analysis ,Blood Cells ,Base Sequence ,Gene Expression Profiling ,High-Throughput Nucleotide Sequencing ,Cell Biology ,Biomarker (cell) ,Gene expression profiling ,MicroRNAs ,030104 developmental biology ,medicine.anatomical_structure ,Molecular Medicine ,Analysis of variance ,CD8 - Abstract
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 of the biological variability and changes in cell type pattern over time for different cell types and different isolation approaches in technical replicates. All combinations of the parameters mentioned above have been measured, resulting in 108 miRNA profiles that were evaluated by next-generation-sequencing. The largest miRNA variability was due to inter-individual differences (34 %), followed by the cell types (23.4 %) and the isolation technique (17.2 %). The change over time in cell miRNA composition was moderate (
- Published
- 2015