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A gene trap strategy was used to identify genes induced in hematopoietic cells undergoing apoptosis by growth factor withdrawal. IL-3 dependent survival of hematopoietic cells relies on a delicate balance between proliferation and apoptosis that is controlled by the availability of cytokines (Thompson, 1995; Iijima et al., 2002). From our previous results of gene trap assay, we postulated that transcriptionally activated antagonistic genes against apoptosis might actually block or delay cell death (Wempe et al., 2001) causing cells to have carcinogenic behavior. The analysis attempted to better understand the outcome of a death program following IL-3 deprivation and to identify those survival genes whose expression is affected by time dependent manner. As described in the chapter 4, there would be two major conclusions evident from the three separate experiments (Genetrap, Atlas cDNA array and Affymetrix chips): Firstly 56% of trapped genes, that are up-regulated by IL-3 withdrawal (28 of 50), are directly related to cell death or survival. Secondly, unlike most array technologies, gene trapping only selects for the transiently induced genes that is independent of pre-existing steady state mRNA levels. In regarding correlations of the genes with potential carcinogenesis, the pre-existing mRNA makes difficult to describe the unique characteristics of deregulated tumor tissue genes. For a joint project with Schering (Schering AG, Berlin), the genes of our GTSTs were examined. The first screen with custom array was used to look for whether the survival genes of our GTSTs are involved in various cancer cell lines, whilst the second screen with Matched Tumor/Normal Array was used to characterize if the selected seven genes (ERK3, Plekha2, KIAA1140, PI4P5Ka/g, KIAA0740, KIAA1036 and PEST domains) are transformation-related genes or not in different tumor tissues. Twenty-six genes were identified as either induced or repressed in one or more cell lines. Genetic information is expressed in complex and ever changing patterns throughout a life span of cells. A description of these patterns and how they relate to the tissue specific cancer is crucial for our understanding of the network of genetic interactions that underlie the processes of normal development, disease and evolution. The development of cancer and its progression is clearly a multiplex phenotype, as a function of time, involving dozens of primary genes and hundreds of secondary modifier genes. There would be a major conclusion evident from the three separate experiments (Genetrap, Affymetrix mouse chip and Matched Tumor/Normal Array): ERK3 could play a significant role in breast, stomach and uterus carcinogenesis with tissue specific regulations. It is clear that ERK3 is obvious putative survival gene in these tumor tissues. Especially, in breast tumors, seven times up-regulation was considerable and the activation of ERK3 could be a feature of breast tumors. My results imply that the unique deregulation of ERK3 is perhaps the major consequence of possible transformation of normal cells into malignant cancer cells, even though further analysis remains to be determined whether an alterated activity of associated survival genes is primarily responsible for a carcinogenesis. However unlike all the other known MAP Kinases, no stimuli and no nuclear substrates of ERK3 is reported. Therefore, it will be necessary first to determine the spectrum of substrates and to identify the proximal effectors for the ERK3 in breast carcinoma cells.
Identification and characterization of TNFalpha responsive genes in human breast cancer cells
(2006)
One of the hallmarks of cancer is the escape of the transformed cells from apoptosis. Therefore, the identification of survival genes, allowing cancer cells to circumvent programmed cell death, could provide new diagnostic markers as well as targets for therapeutic intervention. A well known transcription factor regulating the balance between pro- and anti- apoptotic factors is NF-kappaB, which is strongly induced by tumor necrosis factor alpha (TNFalpha). When cells are stimulated by TNFalpha their response is biphasic with an initial NF-kappaB induction of survival genes which is overridden by the subsequent activation of initiator caspases triggering apoptosis. By combining gene trap mutagenesis with site specific recombination a strategy was developed, which enriches for genes induced by TNFalpha in the human breast cancer cell line MCF-7. The strategy relies on a one way gene expression switch based on Cre/loxP mediated recombination, which uncouples the expression of a marker gene from the trapped cellular promoter thereby enabling the recovery of genes that are only transiently induced by TNFalpha. The marker gene used in these experiments was a dominant negative variant of the TNFalpha-receptor associated protein FADD (dnFADD), which blocks the apoptotic branch of the TNFalpha induced signaling pathway. Initial experiments indicated that MCF-7 cells expressing high levels of dnFADD were insensitive to TNFalpha induced apoptosis and therefore suitable for the installment of a one way gene expression switch susceptible to Cre/loxP mediated recombination. A MCF-7 reporter clone harboring the recombinase dependent gene expression switch was infected with the gene trap retrovirus U3Cre, which inserts the Cre recombinase gene into a large collection of chromosomal sites. Insertion of Cre downstream of an active cellular promoter induces dnFADD expression from the gene expression switch enabling the cells to block TNFalpha triggered apoptosis. From a gene trap integration library containing approximately 2000000 unique proviral integrations, 69 unique TNFalpha inducible gene trap insertion sites were recovered in a two step selection procedure. Sequencing of the genomic regions adjacent to the insertion sites, which were obtained by inverse PCR (gene trap sequence tags, GTSTs), and data base analysis revealed that 42% of the GTSTs belonged to annotated genes, 13% to known cDNAs with open reading frames, 17% to Genscan predicted genes, 9% to ESTs, 9% to repetitive sequences and 10% to unannotated genomic sequence. Overall, 44% of the annotated genes recovered in this screen were directly or indirectly related to cancer, indicating that the gene trap strategy developed here is suitable for the identification of cancer relevant genes. Analysis of the expression patterns of the trapped and annotated genes in wild type cells revealed that 19 out of 24 genes were either up- or down- regulated by a factor of at least 1.45 by TNFalpha. A large fraction of the gene trap insertions were located upstream, in introns or in opposite orientation to annotated transcripts, indicating that the strategy efficiently recovers non-coding RNAs (ncRNAs). While the biological significance of these transcripts still needs to be elucidated, they fall into two main categories. The first category includes gene trap insertions upstream of genes, which could either represent regulatory RNAs interacting with promoter elements or transcripts driven by bidirectional promoters. The second includes inverse orientation gene trap insertions in introns of annotated genes suggesting the presence of natural antisense transcripts (NATs). Interestingly, more than 50% of all antisense integrations are located downstream of transcription start sites predicted by different algorithms supporting the existence of RNAs transcribed from the corresponding genomic regions. Intronic integrations on the coding strand could be derived from cryptic splicing, alternative promoter usage or additional, so far uncharacterized transcripts. Preliminary functional analysis of two genes recovered in this screen encoding the transcription factor ZFP67 and the FLJ14451 protein revealed that FLJ14451 but not ZFP67 inhibited anchorage independent growth in soft agar, suggesting that FLJ14451 might have some tumor suppressor functions. In summary, besides identifying a putative tumor suppressor protein, the present experiments have shown that gene trapping is useful in identifying non-coding transcripts in living cells and may turn out to be the method of choice in characterizing these transcripts whose functions are still largely unknown.