Dataset Information

Investigation of extra-telomeric effects of hTERT in neoplastic transformation of IMR90 cells

ABSTRACT: The complexity and heterogeneity of cancer cells are under-represented by the current experimental models which revolve around primary tumor cells, cancer cell lines, and rodent models. We used the transformed cell model in our studies. IMR90 and BJ fibroblast cells were transformed by three oncogenic genetic factors, SV40 Large-T antigen, H-Ras and human telomerase (hTERT). These transformed cells can grow under anchorage independent conditions, are self-sufficient in growth signals, have decreased sensitivity to apoptosis, and showed recurrent chromosomal abnormalities. Further characterization of transformed cells through cell cycle profiling and mass spectrometry analysis also revealed an increased fraction in the G2/M phase, and an up-regulation of Ku70. Furthermore, transformed cells exhibited increased telomerase activity that was not accountable by hTERT overexpression alone. Microarray results revealed that hTERT overexpression promoted cell migration and the initiation of DNA damage responses; two cellular processes that are important in cancer progression. Collectively, these data imply that IMR90 transformed cell model is an invaluable tool for cancer studies. Our results in the systematic study of this model helped us identify possible early events in cancer transformation and reveal the extra-telomeric effects of telomerase in cell migration and DNA damage initiation.

ORGANISM(S): Homo sapiens

PROVIDER: GSE24097 | GEO | 2010/12/31

SECONDARY ACCESSION(S): PRJNA130297

REPOSITORIES: GEO

ACCESS DATA

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

Project description:Although high-risk human papillomavirus (HPV) infection plays a major role in the development of cervical cancer, additive oncogenic events are involved as well. One key event involves increased activity of telomerase resulting from a deregulated expression of its catalytic subunit hTERT. Our previous microcell-mediated chromosome transfer studies revealed that introduction of human chromosome 6 in the HPV16 immortalized keratinocyte cell line FK16A and in the HPV16 containing cervical cancer cell line SiHa induced growth arrest, resulting from a repression of hTERT mRNA expression and telomerase activity. Here, this model was used to analyze expression profiles associated with hTERT deregulation in HPV transformed cells. Microarray expression analysis of 12 FK16A/chromosome 6 hybrids, four of which were negative for endogenous hTERT and 8 of which were positive for endogenous hTERT, resulted in the identification of 164 differentially expressed genes. Differential expression of a selection of 5 genes was verified by real-time RT-PCR. Of these 164 genes, 32 were also differentially expressed in other HPV transformed cells with deregulated hTERT. For 2 of these genes, encoding AQP3 and MGP, altered expression in hTERT positive cervical carcinomas was confirmed by real-time RT-PCR and immunohistochemistry, respectively. In summary we identified 32 candidate biomarkers for deregulated hTERT mRNA expression which may enable the identification of cervical premalignant lesions that are at highest risk to progress to invasive cancer. Keywords: microarray expression analysis, hTERT, cervical cancer 12 previously established cell hybrids, all carrying the same genetic background were subjected to microarray expression analysis. These hybrids were generated by the introduction of chromosome 6 in the HPV16 immortalized cell line FK16A, which resulted in a suppression of hTERT expression and telomerase activity. 8 hybrids were endogenous hTERT positive and 8 hybrids were hTERT negative. Additionally primary keratinocytes (hTERT negative), parental cell line FK16A and cervical cancer cell line SiHa (both hTERT positive) were hybridized.

Dataset Information

Investigation of extra-telomeric effects of hTERT in neoplastic transformation of IMR90 cells

Dataset's files

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets