Biomedical subjects

Philippa A Terry

Publications and source records attributed to Philippa A Terry.

3 recordsLinked to original sources

PubMed2005

Gene expression levels assessed by oligonucleotide microarray analysis and quantitative real-time RT-PCR -- how well do they correlate?

BACKGROUND: The use of microarray technology to assess gene expression levels is now widespread in biology. The validation of microarray results using independent mRNA quantitation techniques remains a desirable element of any microarray experiment. To facilitate the comparison of microarray expression data between laboratories it is essential that validation methodologies be critically examined. We have assessed the correlation between expression scores obtained for 48 human genes using oligonucleotide microarrays and the expression levels for the same genes measured by quantitative real-time RT-PCR (qRT-PCR). RESULTS: Correlations with qRT-PCR data were obtained using microarray data that were processed using robust multi-array analysis (RMA) and the MAS 5.0 algorithm. Our results indicate that when identical transcripts are targeted by the two methods, correlations between qRT-PCR and microarray data are generally strong (r = 0.89). However, we observed poor correlations between qRT-PCR and RMA or MAS 5.0 normalized microarray data for 13% or 16% of genes, respectively. CONCLUSION: These results highlight the complementarity of oligonucleotide microarray and qRT-PCR technologies for validation of gene expression measurements, while emphasizing the continuing requirement for caution in interpreting gene expression data.

Algorithms↗

PubMed2005

Genomic deletions in cell lines derived from primitive neuroectodermal tumors of the central nervous system.

Extensive genomic deletions affecting a variety of chromosomes are a common finding in primitive neuroectodermal tumors of the central nervous system (CNS-PNETs), implicating the loss of multiple tumor suppressor genes in the pathogenesis of these tumors. We have used representational difference analysis, microsatellite mapping, and quantitative polymerase chain reaction to identify and verify the presence of genomic deletions on a number of chromosomes in CNS-PNET cell lines. This systematic approach has confirmed the importance of deletions at 10q, 16q, and 17p in PNET pathology and has revealed other regions of deletion not commonly described (e.g., Xq, 1p, 7p, and 13q). These data highlight the prevalence of hemizygous loss in CNS-PNET cells, suggesting that haploinsufficiency affecting multiple tumor suppressor genes may play a fundamental role in CNS-PNET pathogenesis. The identification of specific genes and signaling pathways that are compromised in CNS-PNET cells is crucial for development of more efficacious and less invasive treatments, as are urgently needed.

Cell Line, Tumor↗

PubMed2005

Detection of hemizygous deletions in genomic DNA from leukaemia specimens for the diagnosis of patients.

Hemizygous deletions in genomic DNA appear to play an important role in tumorigenesis. The loss or inactivation of tumour suppressor genes (TSGs) is of critical importance in most malignancies, and has been shown to affect response to therapy. Here, we report a quantitative real-time polymerase chain reaction (qPCR) designed to detect two TSGs at the CDKN2A locus, p16(INK4A) and p14(ARF) that allows the detection of hemizygous deletions. Testing by qPCR of 18 bone marrow specimens from paediatric acute lymphoblastic leukaemia (ALL) patients at diagnosis revealed nine to be GG, six to be GD and three to be DD for exon 2 of p14(ARF)/p16(INK4A), concordant with Southern blotting analysis. A panel of 13 ALL cell lines was investigated for deletions at the CDKN2A locus and one of the lines, typed as GD for all exons, was further assessed by fluorescence in situ hybridisation, confirming the qPCR findings. The expression levels of p16(INK4A) and p14(ARF) were measured in all cell lines and these quantitative reverse transcriptase PCR results also agreed with the typing by qPCR. The qPCR method described is suitable for detection of hemizygous loss in primary patient material and the accuracy of the method was verified by three independent techniques.

Alleles↗