BMC Genomics · 2010 · 86 citations · 33 references
Life SciencesCell BiologyMolecular BiologyGene ExpressionGene Expression AnalysisMolecular Cell BiologyCell IsolationCell-type Specific Gene ExpressionCell-type-specific TranscriptomicsDifferential Expression AnalysisDifferential Gene Expression AnalysisGene Expression ProfilingBlood TranscriptomicsCell Line IsolationCell Type SpecificityCell-type-specific Differential ExpressionDifferential Gene ExpressionDifferential Gene Expression Across Cell TypesMicroarray Differential Expression AnalysisSingle-cell Gene Expression Profiling
BACKGROUND: Readily accessible samples such as peripheral blood or cell lines are increasingly being used in large cohorts to characterise gene expression differences between a patient group and healthy controls. However, cell and RNA isolation procedures and the variety of cell types that make up whole blood can affect gene expression measurements. We therefore systematically investigated global gene expression profiles in peripheral blood from six individuals collected during two visits by comparing five of the following cell and RNA isolation methods: whole blood (PAXgene), peripheral blood mononuclear cells (PBMCs), lymphoblastoid cell lines (LCLs), CD19 and CD20 specific B-cell subsets. RESULTS: Gene expression measurements were clearly discriminated by isolation method although the reproducibility was high for all methods (range rho = 0.90-1.00). The PAXgene samples showed a decrease in the number of expressed genes (P < 1*10(-16)) with higher variability (P < 1*10(-16)) compared to the other methods. Differentially expressed probes between PAXgene and PBMCs were correlated with the number of monocytes, lymphocytes, neutrophils or erythrocytes. The correlations (rho = 0.83; rho = 0.79) of the expression levels of detected probes between LCLs and B-cell subsets were much lower compared to the two B-cell isolation methods (rho = 0.98). Gene ontology analysis of detected genes showed that genes involved in inflammatory responses are enriched in B-cells CD19 and CD20 whereas genes involved in alcohol metabolic process and the cell cycle were enriched in LCLs. CONCLUSION: Gene expression profiles in blood-based samples are strongly dependent on the predominant constituent cell type(s) and RNA isolation method. It is crucial to understand the differences and variability of gene expression measurements between cell and RNA isolation procedures, and their relevance to disease processes, before application in large clinical studies.
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Distinct types of diffuse large B-cell lymphoma identified by gene expression profiling
Ash A. Alizadeh, Michael B. Eisen, R. Eric Davis et al. · Nature · 2000 · 10K citations
A Gene-Expression Signature as a Predictor of Survival in Breast Cancer
Marc J. van de Vijver, Yudong D. He, Laura van ‘t Veer et al. · New England Journal of Medicine · 2002 · 6.5K citations · Full text
Medicine, Bioinformatics, Oncology +17