Skip to main content
. 2005 Oct 4;33(17):e143. doi: 10.1093/nar/gni141

Table 1.

Genes of high transcript concentration in cervix cancer

HUGO Gene symbol Cervix tumour mean (×109) Lower limit conf. int. (×109) Upper limit conf. int. (×109) Probability in top 20 Reporter ID number Gene ontology information
Genes of high transcript concentration in cervix cancer
    TMSB4X 9.05 7.71 9.33 1 868368 Growth
    HLA-A 7.83 5.54 8.16 1 853906 Immune response
    S100A8 7.02 4.61 7.43 1 562729 Immune response
    HLA-C 6.76 4.90 7.07 1 810142 Immune response
    KRT5 5.68 3.56 5.97 1 592540 Unknown
    KRT19 5.22 3.12 5.68 1 810131 Unknown
    S100A2 5.02 2.47 5.57 0.98 810813 Unknown
    FABP5 4.85 2.47 5.73 0.99 281039 Growth
    IGLC2 4.45 3.98 4.63 1 66560 Immune response
    RPS16 4.27 3.40 4.44 1 853151 Metabolism
    701677 3.62 1.74 4.36 0.89 Unknown
    RPS27A 3.47 2.50 3.67 0.99 877827 Unknown
    IGHG1 3.38 2.04 3.60 0.94 289337 Unknown
    S100A10 3.11 1.92 3.28 0.89 756595 Unknown
    753862 2.97 1.92 3.15 0.88 Immune response
    LAMR1 2.91 1.97 3.14 0.89 884644 Cell communication
Signal transduction
    ITGA3 2.89 1.57 3.54 0.76 755402 Cell communication
Signal transduction
    207029 2.83 1.97 3.02 0.86 Unknown
    TRAM2 2.73 1.56 4.00 0.77 207550 Growth
    CPA4 2.36 1.22 3.05 0.48 359285 Growth
Metabolism

Mean transcript concentration (number of transcripts per µg total RNA) based on 12 tumours, lower and upper limit of the 95% confidence interval and the probability to be among the 20 genes with highest transcript concentration are listed. Background was very low and intensities were hence not corrected for this. Genes or ESTs without symbol are indicated by their probe identification number.