E2F regulates growth-dependent transcription of genes encoding both catalytic and regulatory subunits of mouse primase

Cell Proliferation in Neuroblastoma

Neuroblastoma, the most common extracranial solid tumor of childhood, continues to carry a dismal prognosis for children diagnosed with advanced stage or relapsed disease. This review focuses upon factors responsible for cell proliferation in neuroblastoma including transcription factors, kinases, and regulators of the cell cycle. Novel therapeutic strategies directed toward these targets in neuroblastoma are discussed.

The Ets transcription factor GABP is required for cell-cycle progression

The transition from cellular quiescence (G0) into S phase is regulated by the mitogenic-activation of D-type cyclins and cyclin-dependent kinases (Cdks), the sequestration of the Cdk inhibitors (CDKIs), p21 and p27, and the hyperphosphorylation of Rb with release of E2F transcription factors. However, fibroblasts that lack all D-type cyclins can still undergo serum-induced proliferation and key E2F targets are expressed at stable levels despite cyclical Rb-E2F activity. Here, we show that serum induces expression of the Ets transcription factor, Gabpalpha, and that its ectopic expression induces quiescent cells to re-enter the cell cycle. Genetic disruption of Gabpalpha prevents entry into S phase, and selectively reduces expression of genes that are required for DNA synthesis and degradation of CDKIs, yet does not alter expression of D-type cyclins, Cdks, Rb or E2Fs. Thus, GABP is necessary and sufficient for re-entry into the cell cycle and it regulates a pathway that is distinct from that of D-type cyclins and CDKs.

A distance difference matrix approach to identifying transcription factors that regulate differential gene expression

We introduce a method that considers target genes of a transcription factor, and searches for transcription factor binding sites (TFBSs) of secondary factors responsible for differential responses among these targets. Based on the distance difference matrix concept, the method simultaneously integrates statistical overrepresentation and co-occurrence of TFBSs. Our approach is validated on datasets of differentially regulated human genes and is shown to be highly effective in detecting TFBSs responsible for the observed differential gene expression.

Selective modulation of protein kinase A I and II reveals distinct roles in thyroid cell gene expression and growth

A global gene expression profiling of TSH stimulation on differentiated (FRTL5) and partially dedifferentiated [FRT/TSHR (TSH receptor)] rat thyroid cells was performed. A total of 123 TSH-regulated genes (95 newly described) were identified in FRTL5, whereas no significant transcriptional modifications were seen in FRT/TSHR cells. Because regulatory subunit IIbeta (RIIbeta) of protein kinase A (PKA), a key element downstream of cAMP, was expressed in FRTL5 but not in cAMP-refractory FRT/TSHR cells, we hypothesized that this gene may play an important role in TSH signaling. We therefore performed a series of experiments to investigate the involvement of RIIbeta and the different PKA isoforms. A positive effect of PKA II- but not of PKA I-selective activation on gene transcription and proliferation in FRTL5 cells, as well as an impairment of TSH nuclear effects after RIIbeta silencing were observed, suggesting that PKA II plays an essential role in TSH signaling. This view was supported by the restoration of TSH nuclear effects after reexpression of RIIbeta in FRT/TSHR cells. Because PKA I stimulation could increase iodide uptake in FRTL5 cells without affecting gene transcription, PKA I may mediate TSH actions at posttranscriptional levels. Analyses on three human cancer cell lines confirmed the possible loss of RIIbeta expression and antiproliferative activity of PKA I-selective cAMP analogs ( approximately 60% at 200 microm in BRAF-mutated cells). The inhibitory effect of PKA I apparently required constitutive MAPK activation and was associated with an inhibition of ERK phosphorylation. These findings may open new therapeutic perspectives in patients with thyroid cancer.

Genome-wide in silico identification of transcriptional regulators controlling the cell cycle in human cells

Dissection of regulatory networks that control gene transcription is one of the greatest challenges of functional genomics. Using human genomic sequences, models for binding sites of known transcription factors, and gene expression data, we demonstrate that the reverse engineering approach, which infers regulatory mechanisms from gene expression patterns, can reveal transcriptional networks in human cells. To date, such methodologies were successfully demonstrated only in prokaryotes and low eukaryotes. We developed computational methods for identifying putative binding sites of transcription factors and for evaluating the statistical significance of their prevalence in a given set of promoters. Focusing on transcriptional mechanisms that control cell cycle progression, our computational analyses revealed eight transcription factors whose binding sites are significantly overrepresented in promoters of genes whose expression is cell-cycle-dependent. The enrichment of some of these factors is specific to certain phases of the cell cycle. In addition, several pairs of these transcription factors show a significant co-occurrence rate in cell-cycle-regulated promoters. Each such pair indicates functional cooperation between its members in regulating the transcriptional program associated with cell cycle progression. The methods presented here are general and can be applied to the analysis of transcriptional networks controlling any biological process.

Identification of novel E2F1-regulated genes by microarray

The E2F pathway has been proposed to regulate genes involved in the transition from quiescence into DNA synthesis. However, this hypothesis has not been rigorously tested on a genomic scale. Toward this end, we have infected quiescent mouse fibroblasts, which do not express E2F1, with an E2F1-expressing adenovirus and examined the expression of more than 6000 genes using high-density microarrays. Microarray results clearly support the current paradigm; however, they suggest that E2F1 may also regulate unanticipated cellular functions including pathways involved in apoptosis, signal transduction, transcriptional control, and membrane biology. Most surprisingly, we identified a number of genes that are repressed by E2F1 expression, suggesting that E2F1 may have the potential to repress transcription of numerous genes through an unknown mechanism.