AI Article Synopsis

  • Most biological samples consist of mixed cells, raising questions about the significance and accuracy of gene expression profiles (GEP) when using gene expression microarray technology (MAT).
  • Purifying the cells of interest before analysis improves the GEP accuracy, and it has been shown that over 75% purity yields results akin to pure cells.
  • The study concludes that cell sorting is essential for meaningful MAT results, as it allows for the recovery of hidden GEPs in small cell subpopulations.

Article 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.

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Source
http://dx.doi.org/10.1002/cyto.a.20055DOI Listing

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