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Getting the right cells to the array: Gene expression microarray analysis of cell mixtures and sorted cells
- Source :
- Cytometry. Part A : the journal of the International Society for Analytical Cytology. 59(2)
- Publication Year :
- 2004
-
Abstract
- Background: Most biological samples are cell mixtures. Some basic questions are still unanswered about analyzing these heterogeneous samples using gene expression microarray technology (MAT). How meaningful is a cell mixture’s overall gene expression profile (GEP)? Is it necessary to purify the cells of interest before microarray analysis, and how much purity is needed? How much does the purification itself distort the GEP, and how well can the GEP of a small cell subset be recovered? Methods: Model cell mixtures with different cell ratios were analyzed by both spotted and Affymetrix MAT. GEP distortion during cell purification and GEPs of purified cells were studied. CD34 cord blood cells were purified and analyzed by MAT. Results: GEPs for mixed cell populations were found to mirror the cell ratios in the mixture. Over 75% pure samples were indistinguishable from pure cells by their overall GEP. Cell purification preserved the GEP. The GEPs of small cell subsets could be accurately recovered by cell sorting both from model cell mixtures and from cord blood. Conclusions: Purification of small cell subsets from a mixture prior to MAT is necessary for meaningful results. Even completely hidden GEPs of small cell subpopulations can be recovered by cell sorting. © 2004 Wiley-Liss, Inc.
- Subjects :
- Cells
Cell
Biophysics
CD34
Cell Separation
Biology
Immunomagnetic separation
Pathology and Forensic Medicine
Flow cytometry
Cell Line
Endocrinology
Gene expression
medicine
Image Processing, Computer-Assisted
Humans
Oligonucleotide Array Sequence Analysis
Blood Cells
medicine.diagnostic_test
Microarray analysis techniques
Gene Expression Profiling
Cell Biology
Hematology
Cell sorting
Flow Cytometry
Molecular biology
medicine.anatomical_structure
Cytomics
Subjects
Details
- ISSN :
- 15524922
- Volume :
- 59
- Issue :
- 2
- Database :
- OpenAIRE
- Journal :
- Cytometry. Part A : the journal of the International Society for Analytical Cytology
- Accession number :
- edsair.doi.dedup.....8ed94960d3cdc8bfcb124d25b12c6f3d