Cell subset prediction for blood genomic studies
Open Access
- 24 June 2011
- journal article
- Published by Springer Nature in BMC Bioinformatics
- Vol. 12 (1) , 258
Abstract
Genome-wide transcriptional profiling of patient blood samples offers a powerful tool to investigate underlying disease mechanisms and personalized treatment decisions. Most studies are based on analysis of total peripheral blood mononuclear cells (PBMCs), a mixed population. In this case, accuracy is inherently limited since cell subset-specific differential expression of gene signatures will be diluted by RNA from other cells. While using specific PBMC subsets for transcriptional profiling would improve our ability to extract knowledge from these data, it is rarely obvious which cell subset(s) will be the most informative.Keywords
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