Literature DB >> 16364039

Genes associated with telomerase activity levels in esophageal carcinoma cell lines.

M Bergqvist1, D Brattström, D Brodin, A Lindkvist, K Dahlman-Wright, M Dreilich, G Wagenius, Y Paulsson-Karlsson.   

Abstract

Telomerase activity levels have been shown to correlate with tumor progression in several malignancies. However, the genetic regulation of telomerase activity levels is not fully understood. The aim of the present study has been to identify a gene expression profile, predicting correlation with the telomerase-activity test. Ten human esophageal carcinoma cell lines were investigated using the telomerase activity assay (TRAPeze) Telomerase Detection Kit), followed by further characterization using the GeneChip Human Genome U133A 2.0 Array (Affymetrics Inc., USA), including 14 500 human genes. Telomerase activity levels were detected in all cell lines with a broad range of activity levels. Using a high correlation coefficient, r > 0.90, the following genes were found to be positively correlated with telomerase activity levels: N-myristoyltransferase 2; ribosomal protein L3; retinoblastoma-like 2 (pRb2/p130); and cyclin G2. Only one gene was negatively correlated with telomerase activity levels, zinc finger protein 207. In conclusion, the present microarray data provide primary validation data indicating possible candidates for prognostic and prediction factors in esophageal cancer in relation to telomerase activity.

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Year:  2006        PMID: 16364039     DOI: 10.1111/j.1442-2050.2006.00532.x

Source DB:  PubMed          Journal:  Dis Esophagus        ISSN: 1120-8694            Impact factor:   3.429


  2 in total

1.  SUPPRESSOR OF FRIGIDA4, encoding a C2H2-Type zinc finger protein, represses flowering by transcriptional activation of Arabidopsis FLOWERING LOCUS C.

Authors:  Sanghee Kim; Kyuha Choi; Chulmin Park; Hyun-Ju Hwang; Ilha Lee
Journal:  Plant Cell       Date:  2006-11-30       Impact factor: 11.277

2.  Monocytes affect bone mineral density in pre- and postmenopausal women through ribonucleoprotein complex biogenesis by integrative bioinformatics analysis.

Authors:  Kang-Wen Xiao; Jia-Li Li; Zi-Hang Zeng; Zhi-Bo Liu; Zhi-Qiang Hou; Xin Yan; Lin Cai
Journal:  Sci Rep       Date:  2019-11-21       Impact factor: 4.379

  2 in total

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