Please use this identifier to cite or link to this item: https://doi.org/10.1186/1471-2164-8-64
Title: Microarray analysis of human leucocyte subsets: The advantages of positive selection and rapid purification
Authors: Lyons, P.A
Koukoulaki, M
Hatton, A
Doggett, K
Woffendin, H.B
Chaudhry, A.N
Smith, K.G.C 
Keywords: CD14 antigen
CD16 antigen
CD19 antigen
CD4 antigen
CD8 antigen
microsphere
RNA
article
B lymphocyte
blood sampling
bone marrow cell
CD4+ T lymphocyte
CD8+ T lymphocyte
cell isolation
cell lineage
cell selection
cell specificity
controlled study
gene expression profiling
genetic transcription
human
human cell
leukocyte
microarray analysis
monocyte
neutrophil
purification
cell separation
cytology
DNA microarray
flow cytometry
gene expression profiling
isolation and purification
lymphocyte subpopulation
methodology
Cell Separation
Flow Cytometry
Gene Expression Profiling
Humans
Lymphocyte Subsets
Microspheres
Oligonucleotide Array Sequence Analysis
RNA
Issue Date: 2007
Citation: Lyons, P.A, Koukoulaki, M, Hatton, A, Doggett, K, Woffendin, H.B, Chaudhry, A.N, Smith, K.G.C (2007). Microarray analysis of human leucocyte subsets: The advantages of positive selection and rapid purification. BMC Genomics 8 : 64. ScholarBank@NUS Repository. https://doi.org/10.1186/1471-2164-8-64
Rights: Attribution 4.0 International
Abstract: Background: For expression profiling to have a practical impact in the management of immune-related disease it is essential that it can be applied to peripheral blood cells. Early studies have used total peripheral blood mononuclear cells, and as a consequence the majority of the disease-related signatures identified have simply reflected differences in the relative abundance of individual cell types between patients and controls. To identify cell-specific changes in transcription it would be necessary to profile purified leucocyte subsets. Results: We have used sequential rounds of positive selection to isolate CD4 and CD8 T cells, CD19 B cells, CD14 monocytes and CD16 neutrophils for microarray analysis from a single blood sample. We compared gene expression in cells isolated in parallel using either positive or negative selection and demonstrate that there are no significant consistent changes due to positive selection, and that the far inferior results obtained by negative selection are largely due to reduced purity. Finally, we demonstrate that storing cells prior to separation leads to profound changes in expression, predominantly in cells of the myeloid lineage. Conclusion: Leukocyte subsets should be prepared for microarray analysis by rapid positive selection. © 2007 Lyons et al; licensee BioMed Central Ltd.
Source Title: BMC Genomics
URI: https://scholarbank.nus.edu.sg/handle/10635/178000
ISSN: 14712164
DOI: 10.1186/1471-2164-8-64
Rights: Attribution 4.0 International
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