Identification of novel universal housekeeping genes by statistical analysis of microarray data

Housekeeping genes are widely used as internal controls in a variety of study types, including real time RT-PCR, microarrays, Northern analysis and RNase protection assays. However, even commonly used housekeeping genes may vary in stability depending on the cell type or disease being studied. Thus, it is necessary to identify additional housekeeping-type genes that show sample-independent stability. Here, we used statistical analysis to examine a large human microarray database, seeking genes that were stably expressed in various tissues, disease states and cell lines. We further selected genes that were expressed at different levels, because reference and target genes should be present in similar copy numbers to achieve reliable quantitative results. Real time RT-PCR amplification of three newly identified reference genes, CGI-119, CTBP1 and GOLGAl, alongside three well-known housekeeping genes, B2M, GAPD, and TUBB, confirmed that the newly identified genes were more stably expressed in individual samples with similar ranges. These results collectively suggest that statistical analysis of microarray data can be used to identify new candidate housekeeping genes showing consistent expression across tissues and diseases. Our analysis identified three novel candidate housekeeping genes (CGI-119, GOLGA1, and CTBP1) that could prove useful for normalization across a variety of RNA-based techniques.     

Validation of endogenous controls for gene expression studies in human adipocytes and preadipocytes.

Quantitative gene expression protocols require adequate controls to monitor intersample variation. Quantitative approaches to describe relative changes in gene expression use endogenous controls--"housekeeping" genes. Given the low amounts of mRNA in fat cells, RT-PCR is the method of choice, and housekeeping genes are widely used as endogenous controls. However, literature reports suggest changes in gene expression of typical housekeeping genes (e. g. GAPDH, beta-actin, 18S rRNA) upon hormonal stimulation or during adipogenic differentiation. Thus, we tested the influence of 6 hormones and adipogenic differentiation on gene expression levels of 11 commonly used housekeeping genes in primary cultured mature human adipocytes and preadipocytes. Using the TaqMan RT-PCR technique and "Human Endogenous Control Assays" (PE Biosystems), we found several housekeeping genes with at least twice the difference in expression levels between stimulated and unstimulated cells (such as acidic ribosomal protein, beta-actin, beta(2)-microglobulin and beta-glucuronidase). Only GAPDH and transferrin receptor gene expression levels did not change under any of the stimuli tested, thus appeared best suited for gene expression studies in human adipose cells across a wide range of experimental settings.     

Peptidylpropyl isomerase B (PPIB): a suitable reference gene for mRNA quantification in peripheral whole blood

Quantitative real-time RT-PCR is a very powerful technique for measuring gene expression at the mRNA level. In order to compare mRNA expression in different experimental or clinical conditions, expression of a target gene has to be normalized to an appropriate internal standard, which is generally a housekeeping gene. In our study, we have tested several housekeeping genes in peripheral whole blood of healthy volunteers and patients suffering from inflammatory diseases. A first analysis of 91 samples illustrated that the mRNA expression of peptidylpropyl isomerase B (PPIB) encoding for cyclophilin B protein, is more stable than beta actin and glyceraldehyde-3-phosphate dehydrogenase, which are both commonly selected as internal standard. Among the three genes tested, beta actin displayed the highest inter-sample variation of expression. The constancy of PPIB mRNA expression was further confirmed by 214 additional samples. In conclusion, we showed that PPIB, in contrast to beta actin and glyceraldehyde-3-phosphate dehydrogenase, is a suitable housekeeping gene in human peripheral blood.     

Normalizing genes for quantitative RT-PCR in differentiating human intestinal epithelial cells and adenocarcinomas of the colon

As for other mRNA measurement methods, quantitative RT-PCR results need to be normalized relative to stably expressed genes. Widely used normalizing genes include beta-actin and glyceraldehyde-3-phosphate dehydrogenase. It has, however, become clear that these and other normalizing genes can display modulated patterns of expression across tissue types and during complex cellular processes such as cell differentiation and cancer progression. Our objective was to set the basis for identifying normalizing genes that displayed stable expression during enterocytic differentiation and between healthy tissue and adenocarcinomas of the human colon. We thus identified novel potential normalizing genes using previously generated cDNA microarray data and examined the alterations of expression of two of these genes as well as seven commonly used normalizing genes during the enterocytic differentiation process and between matched pairs of resection margins and primary carcinomas of the human colon using real-time RT-PCR. We found that ribosomal phosphoprotein P0 was particularly stable in all intestinal epithelial cell extracts, thereby representing a particularly robust housekeeping reference gene for the assessment of gene expression during the human enterocytic differentiation process. On the other hand, beta-2-microglobulin generated the best score as a normalizing gene for comparing human colon primary carcinomas with their corresponding normal mucosa of the resection margin, although others were found to represent acceptable alternatives. In conclusion, we identified and characterized specific normalizing genes that should significantly improve quantitative mRNA studies related to both the differentiation process of the human intestinal epithelium and adenocarcinomas of the human colon. This approach should also be useful to validate normalizing genes in other intestinal contexts.     

Identification of suitable reference genes for gene expression studies of human serous ovarian cancer by real-time polymerase chain reaction

Quantitative real-time RT-PCR (RT-qPCR) has proven to be a valuable molecular technique in gene expression quantification. Target gene expression levels are usually normalized to a stably expressed reference gene simultaneously determined in the same sample. It is critical to select optimal reference genes to interpret data generated by RT-qPCR. However, no suitable reference genes have been identified in human ovarian cancer to date. In this study, 10 housekeeping genes, ACTB, ALAS1, GAPDH, GUSB, HPRT1, PBGD, PPIA, PUM1, RPL29, and TBP as well as 18S rRNA that were already used in various studies were analyzed to determine their applicability. Totally 20 serous ovarian cancer specimens and 20 normal ovarian epithelial tissue specimens were examined. All candidate reference genes showed significant differences in expression between malignant and nonmalignant groups except GUSB, PPIA, and TBP. The expression stability and suitability of the 11 genes were validated employing geNorm and NormFinder. GUSB, PPIA, and TBP were demonstrated as the most stable reference genes and thus could be used as reference genes for normalization in gene profiling studies of serous ovarian cancer, while the combination of two genes (GUSB and PPIA) or the all three genes should be recommended as a much more reliable normalization strategy.     

Evidence based selection of housekeeping genes

For accurate and reliable gene expression analysis, normalization of gene expression data against housekeeping genes (reference or internal control genes) is required. It is known that commonly used housekeeping genes (e.g. ACTB, GAPDH, HPRT1, and B2M) vary considerably under different experimental conditions and therefore their use for normalization is limited. We performed a meta-analysis of 13,629 human gene array samples in order to identify the most stable expressed genes. Here we show novel candidate housekeeping genes (e.g. RPS13, RPL27, RPS20 and OAZ1) with enhanced stability among a multitude of different cell types and varying experimental conditions. None of the commonly used housekeeping genes were present in the top 50 of the most stable expressed genes. In addition, using 2,543 diverse mouse gene array samples we were able to confirm the enhanced stability of the candidate novel housekeeping genes in another mammalian species. Therefore, the identified novel candidate housekeeping genes seem to be the most appropriate choice for normalizing gene expression data.