Comparing gene discovery from Affymetrix GeneChip microarrays and Clontech PCR-select cDNA subtraction: a case study.

BACKGROUND: Several high throughput technologies have been employed to identify differentially regulated genes that may be molecular targets for drug discovery. Here we compared the sets of differentially regulated genes discovered using two experimental approaches: a subtracted suppressive hybridization (SSH) cDNA library methodology and Affymetrix GeneChip technology. In this "case study" we explored the transcriptional pattern changes during the in vitro differentiation of human monocytes to myeloid dendritic cells (DC), and evaluated the potential for novel gene discovery using the SSH methodology. RESULTS: The same RNA samples isolated from peripheral blood monocyte precursors and immature DC (iDC) were used for GeneChip microarray probing and SSH cDNA library construction. 10,000 clones from each of the two-way SSH libraries (iDC-monocytes and monocytes-iDC) were picked for sequencing. About 2000 transcripts were identified for each library from 8000 successful sequences. Only 70% to 75% of these transcripts were represented on the U95 series GeneChip microarrays, implying that 25% to 30% of these transcripts might not have been identified in a study based only on GeneChip microarrays. In addition, about 10% of these transcripts appeared to be "novel", although these have not yet been closely examined. Among the transcripts that are also represented on the chips, about a third were concordantly discovered as differentially regulated between iDC and monocytes by GeneChip microarray transcript profiling. The remaining two thirds were either not inferred as differentially regulated from GeneChip microarray data, or were called differentially regulated but in the opposite direction. This underscores the importance both of generating reciprocal pairs of SSH libraries, and of real-time RT-PCR confirmation of the results. CONCLUSIONS: This study suggests that SSH could be used as an alternative and complementary transcript profiling tool to GeneChip microarrays, especially in identifying novel genes and transcripts of low abundance.

Human T helper (Th) cell lineage commitment is not directly linked to the secretion of IFN-gamma or IL-4: characterization of Th cells isolated by FACS based on IFN-gamma and IL-4 secretion.

Upon activation in vitro, only a fraction of the bulk human T helper cell cultures secret the hallmark Th1/2 cytokines (IFN-gamma for Th1 and IL-4 for Th2, respectively). It is uncertain whether these IFN-gamma-/IL-4- cells are differentiated Th1 or Th2 cells. Here, we have characterized live IFN-gamma+, IL-4+ and IFN-gamma-/IL-4- cells isolated from Th cell cultures treated under Th1 or Th2 polarizing conditions by employing affinity matrix capture technology. RNA samples from the sorted cells were analyzed by real time RT-PCR and microarrays. The double negative cells from either Th1 or Th2 cultures expressed lower levels of Th1/Th2 marker cytokine genes (IFNgamma, IL4, and IL5). However, they were comparable with the IFN-gamma+ or IL-4+ cells in the expression levels of other Th1/Th2 marker genes (GATA3, Tbet, and IL12Rbeta2). Most importantly, these double negative cells were already committed in their Th1/Th2 lineages. Gene expression profiling analysis showed that very few previously identified Th1/Th2 marker genes were differentially expressed between the IFN-gamma or IL-4 producers and the non-producers, further underscoring the similarity between these two groups.