Your email was sent successfully. Check your inbox.

An error occurred while sending the email. Please try again.

Proceed reservation?

Export
Filter
  • ACCURACY  (1)
  • 1
    Keywords: EXPRESSION ; carcinoma ; Germany ; GENE ; GENE-EXPRESSION ; GENES ; HYBRIDIZATION ; microarray ; transcription ; ACCURACY ; validation ; PATIENT ; IN-SITU ; gene expression ; microarrays ; ARRAYS ; PCR ; PROBES ; HEAD ; NECK ; squamous cell carcinoma ; expression profiling ; SINGLE ; SUBSET ; head and neck cancer ; OLIGONUCLEOTIDE ; ARRAY ; CARCINOMA PATIENTS ; PROFILES ; ADJUSTMENT ; DNA-MICROARRAY ; CELL-CARCINOMA ; RESOURCES ; SIGNATURE ; EXPRESSION PROFILES ; comparative study ; head and neck squamous cell carcinoma ; LOCUSLINK ; NCBI ; oligonucleotide microarray ; oligonucleotide probes ; reproducibility of results ; statistics and numerical data
    Abstract: The comparison of gene expression measurements obtained with different technical approaches is of substantial interest in order to clarify whether interplatform differences may conceal biologically significant information. To address this concern, we analyzed gene expression in a set of head and neck squamous cell carcinoma patients, using both spotted oligonucleotide microarrays made from a large collection of 70-mer probes and commercial arrays produced by in situ synthesis of sets of multiple 25-mer oligonucleotides per gene. Expression measurements were compared for 4425 genes represented on both platforms, which revealed strong correlations between the corresponding data sets. Of note, a global tendency towards smaller absolute ratios was observed when using the 70-mer probes. Real-time quantitative reverse transcription PCR measurements were conducted to verify expression ratios for a subset of genes and achieved good agreement regarding both array platforms. In conclusion, similar profiles of relative gene expression were obtained using arrays of either single 70-mer or multiple short 25-mer oligonucleotide probes per gene. Although qualitative assessments of the expression of individual genes have to be made with caution, our results indicate that the comparison of gene expression profiles generated on these platforms will help to discover disease-related gene signatures in general
    Type of Publication: Journal article published
    PubMed ID: 16205657
    Signatur Availability
    BibTip Others were also interested in ...
Close ⊗
This website uses cookies and the analysis tool Matomo. More information can be found here...