Tp53-dependent repression of cell cycle target genes: Global and mechanistic analysis

Most studies of p53 function have focused on genes transactivated by p53. It is less widely appreciated that p53 can repress target genes to affect a particular cellular response. There is evidence that repression is important for p53-induced apoptosis and cell cycle arrest. It is less clear if repression is important for other p53 functions. A comprehensive knowledge of the genes repressed by p53 and the cellular processes they affect is currently lacking. We used an expression profiling strategy to identify p53-responsive genes following adenoviral p53 gene transfer (Ad-p53) in PC3 prostate cancer cells. A total of 111 genes represented on the Affymetrix U133A microarray were repressed more than two fold (p ≤ 0.05) by p53. An objective assessment of array data quality was carried out using RT-PCR of 20 randomly selected genes. We estimate a confirmation rate of >95.5% for the complete data set. Functional over-representation analysis was used to identify cellular processes potentially affected by p53-mediated repression. Cell cycle regulatory genes exhibited significant enrichment (p ≤ 5E-28) within the repressed targets. Several of these genes are repressed in a p53-dependent manner following DNA damage, but preceding cell cycle arrest. These findings identify novel p53-repressed targets and indicate that p53-induced cell cycle arrest is a function of not only the transactivation of cell cycle inhibitors (e.g., p21), but also the repression of targets that act at each phase of the cell cycle. The mechanism of repression of this set of p53 targets was investigated. Most of the repressed genes identified here do not harbor consensus p53 DNA binding sites but do contain binding sites for E2F transcription factors. We demonstrate a role for E2F/RB repressor complexes in our system. Importantly, p53 is found at the promoter of CDC25A. CDC25A protein is rapidly degraded in response to DNA damage. Our group has demonstrated for the first time that CDC25A is also repressed at the transcript level by p53. This work has important implications for understanding the DNA damage cell cycle checkpoint response and the link between E2F/RB complexes and p53 in the repression of target genes. ^

Alterations in cell adhesion and migration are transcriptionally regulated by the tumor suppressor, TP53

The p53 transcription factor is a tumor suppressor and a master regulator of apoptosis and the cell cycle in response to cell stress. In some advanced tumors, such as prostate cancers, the loss of p53 correlates with an increase in the occurrence of metastases. In addition, several groups have suggested that p53 status correlates with changes in cell migration and cell morphology associated with a migratory phenotype. Others have identified several genes with roles in cell migration that are directly transcriptionally regulated by p53. Even so, modulation of cell migration is not widely recognized as a p53 stress response. ^ In an effort to identify novel p53 target genes and expand our knowledge of the p53 transcriptional response, we performed Affymetrix gene expression analysis in p53-null PC3 prostate cancer cells following infection with a control virus or adenoviral construct expressing wild-type p53. Over 300 genes that had not been previously recognized as p53 target genes were identified. Of these genes, 224 were upregulated and 111 were downregulated (p<0.05). Functional over-representation analysis identified cell migration as a significantly over-represented biological function of p53. Further analysis identified two genes that are critical for the control of cell migration as potential p53 targets. One, hyaluronan mediated motility receptor (HMMR), has recently been shown to be a p53 target important for regulation of the cell cycle. Here, we show that HMMR is downregulated by p53 in several cell lines, and HMMR's regulation is dependent on the presence of the cdk inhibitor, p21, and histone deactelyase activity. The other gene, carcinoembryonic antigen-related cell adhesion molecule 1 (CEACAM1), itself a tumor suppressor, is shown here, for the first time, as a p53 direct target by ChIP analysis. We next determined the effect of p53 activation on cell migration and found that p53 significantly slows the rate of cell migration in Boyden chamber migration assays and digital videomicroscopy wound healing studies. Further, our studies established the specific roles of CEACAM1 and HMMR in cell migration and determine that loss of CEACAM1 and overexpression of HMMR independently contribute to increased cell migration. Taken together, these studies provide a direct mechanistic link between p53 to the regulatory control of specific target genes that mediate cell adhesion and migration. ^

Optical imaging of postsynaptic odor representation in the glomerular layer of the mouse olfactory bulb.

Olfactory glomeruli are the loci where the first odor-representation map emerges. The glomerular layer comprises exquisite local synaptic circuits for the processing of olfactory coding patterns immediately after their emergence. To understand how an odor map is transferred from afferent terminals to postsynaptic dendrites, it is essential to directly monitor the odor-evoked glomerular postsynaptic activity patterns. Here we report the use of a transgenic mouse expressing a Ca(2+)-sensitive green fluorescence protein (GCaMP2) under a Kv3.1 potassium-channel promoter. Immunostaining revealed that GCaMP2 was specifically expressed in mitral and tufted cells and a subpopulation of juxtaglomerular cells but not in olfactory nerve terminals. Both in vitro and in vivo imaging combined with glutamate receptor pharmacology confirmed that odor maps reported by GCaMP2 were of a postsynaptic origin. These mice thus provided an unprecedented opportunity to analyze the spatial activity pattern reflecting purely postsynaptic olfactory codes. The odor-evoked GCaMP2 signal had both focal and diffuse spatial components. The focalized hot spots corresponded to individually activated glomeruli. In GCaMP2-reported postsynaptic odor maps, different odorants activated distinct but overlapping sets of glomeruli. Increasing odor concentration increased both individual glomerular response amplitude and the total number of activated glomeruli. Furthermore, the GCaMP2 response displayed a fast time course that enabled us to analyze the temporal dynamics of odor maps over consecutive sniff cycles. In summary, with cell-specific targeting of a genetically encoded Ca(2+) indicator, we have successfully isolated and characterized an intermediate level of odor representation between olfactory nerve input and principal mitral/tufted cell output.