Abstract
Ease of sample collection predestines peripheral blood cells, and their transcriptional or translational products, to become surrogate markers for inflammatory processes in several diseases, including cancer, autoimmune, genetic or metabolic disorders. Therefore, peripheral blood mononuclear cells (PBMCs) and whole blood have been commonly used for genome-wide expression analyses. In comparison to whole blood, which primarily consists of erythrocytes, reticulocytes, platelets, granulocytes, T and B lymphocytes, NK cells and monocytes, PBMCs were pre-enriched for lymphocyte populations, NK cells, and monocytes by density gradient centrifugation, such as Ficoll or Percoll. But the cellular composition of blood shows inter-individual variations and is intensely influenced by pathophysiological processes, such as inflammation. Thus, success in terms of reproducibility and interpretability of a microarray experiment greatly depends on samples being comparable in quality and in quantitative cellular composition.
In this context, some theoretical considerations will be bestowed upon problems arising from samples of heterogeneous composition. To overcome these limitations, cell sorting strategies will be presented that have been optimized with respect to the special requirements necessary for global gene expression studies.
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Grützkau, A., Radbruch, A. (2008). Separation of whole blood cells and its impact on gene expression. In: Bosio, A., Gerstmayer, B. (eds) Microarrays in Inflammation. Progress in Inflammation Research. Birkhäuser Basel. https://doi.org/10.1007/978-3-7643-8334-3_3
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DOI: https://doi.org/10.1007/978-3-7643-8334-3_3
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